test: build a failing example with LogicalPlanBuilder

Signed-off-by: discord9 <discord9@163.com>

.cargo/config.toml

@@ -12,3 +12,6 @@ fetch = true
 checkout = true
 list_files = true
 internal_use_git2 = false
+
+[env]
+CARGO_WORKSPACE_DIR = { value = "", relative = true }

.github/actions/build-linux-artifacts/action.yml

@@ -52,7 +52,7 @@ runs:
       uses: ./.github/actions/build-greptime-binary
       with:
         base-image: ubuntu
-        features: servers/dashboard,pg_kvbackend,mysql_kvbackend
+        features: servers/dashboard
         cargo-profile: ${{ inputs.cargo-profile }}
         artifacts-dir: greptime-linux-${{ inputs.arch }}-${{ inputs.version }}
         version: ${{ inputs.version }}
@@ -70,7 +70,7 @@ runs:
       if: ${{ inputs.arch == 'amd64' && inputs.dev-mode == 'false' }} # Builds greptime for centos if the host machine is amd64.
       with:
         base-image: centos
-        features: servers/dashboard,pg_kvbackend,mysql_kvbackend
+        features: servers/dashboard
         cargo-profile: ${{ inputs.cargo-profile }}
         artifacts-dir: greptime-linux-${{ inputs.arch }}-centos-${{ inputs.version }}
         version: ${{ inputs.version }}

.github/actions/release-cn-artifacts/action.yaml

@@ -64,11 +64,11 @@ inputs:
   upload-max-retry-times:
     description: Max retry times for uploading artifacts to S3
     required: false
-    default: "20"
+    default: "30"
   upload-retry-timeout:
     description: Timeout for uploading artifacts to S3
     required: false
-    default: "30" # minutes
+    default: "120" # minutes
 runs:
   using: composite
   steps:

.github/actions/setup-greptimedb-cluster/action.yml

@@ -10,13 +10,13 @@ inputs:
   meta-replicas:
     default: 2
     description: "Number of Metasrv replicas"
-  image-registry: 
+  image-registry:
     default: "docker.io"
     description: "Image registry"
-  image-repository: 
+  image-repository:
     default: "greptime/greptimedb"
     description: "Image repository"
-  image-tag: 
+  image-tag:
     default: "latest"
     description: 'Image tag'
   etcd-endpoints:
@@ -32,12 +32,12 @@ runs:
   steps:
   - name: Install GreptimeDB operator
     uses: nick-fields/retry@v3
-    with: 
+    with:
       timeout_minutes: 3
       max_attempts: 3
       shell: bash
       command: |
-        helm repo add greptime https://greptimeteam.github.io/helm-charts/ 
+        helm repo add greptime https://greptimeteam.github.io/helm-charts/
         helm repo update
         helm upgrade \
           --install \
@@ -48,10 +48,10 @@ runs:
           --wait-for-jobs
   - name: Install GreptimeDB cluster
     shell: bash
-    run: | 
+    run: |
       helm upgrade \
         --install my-greptimedb \
-        --set meta.etcdEndpoints=${{ inputs.etcd-endpoints }} \
+        --set meta.backendStorage.etcd.endpoints=${{ inputs.etcd-endpoints }} \
         --set meta.enableRegionFailover=${{ inputs.enable-region-failover }} \
         --set image.registry=${{ inputs.image-registry }} \
         --set image.repository=${{ inputs.image-repository }}  \
@@ -59,7 +59,7 @@ runs:
         --set base.podTemplate.main.resources.requests.cpu=50m \
         --set base.podTemplate.main.resources.requests.memory=256Mi \
         --set base.podTemplate.main.resources.limits.cpu=2000m \
-        --set base.podTemplate.main.resources.limits.memory=2Gi \
+        --set base.podTemplate.main.resources.limits.memory=3Gi \
         --set frontend.replicas=${{ inputs.frontend-replicas }} \
         --set datanode.replicas=${{ inputs.datanode-replicas }} \
         --set meta.replicas=${{ inputs.meta-replicas }} \
@@ -72,7 +72,7 @@ runs:
   - name: Wait for GreptimeDB
     shell: bash
     run: |
-      while true; do 
+      while true; do
         PHASE=$(kubectl -n my-greptimedb get gtc my-greptimedb -o jsonpath='{.status.clusterPhase}')
         if [ "$PHASE" == "Running" ]; then
           echo "Cluster is ready"
@@ -86,10 +86,10 @@ runs:
   - name: Print GreptimeDB info
     if: always()
     shell: bash
-    run: | 
+    run: |
       kubectl get all --show-labels -n my-greptimedb
   - name: Describe Nodes
     if: always()
     shell: bash
-    run: | 
+    run: |
       kubectl describe nodes

.github/actions/setup-greptimedb-cluster/with-remote-wal.yaml

@@ -22,7 +22,6 @@ datanode:
     [wal]
     provider = "kafka"
     broker_endpoints = ["kafka.kafka-cluster.svc.cluster.local:9092"]
-    linger = "2ms"
     overwrite_entry_start_id = true
 frontend:
   configData: |-

.github/labeler.yaml

@@ -0,0 +1,15 @@
+ci:
+  - changed-files:
+      - any-glob-to-any-file: .github/**
+
+docker:
+  - changed-files:
+      - any-glob-to-any-file: docker/**
+
+documentation:
+  - changed-files:
+      - any-glob-to-any-file: docs/**
+
+dashboard:
+  - changed-files:
+      - any-glob-to-any-file: grafana/**

.github/scripts/check-version.sh

@@ -0,0 +1,42 @@
+#!/bin/bash
+
+# Get current version
+CURRENT_VERSION=$1
+if [ -z "$CURRENT_VERSION" ]; then
+  echo "Error: Failed to get current version"
+  exit 1
+fi
+
+# Get the latest version from GitHub Releases
+API_RESPONSE=$(curl -s "https://api.github.com/repos/GreptimeTeam/greptimedb/releases/latest")
+
+if [ -z "$API_RESPONSE" ] || [ "$(echo "$API_RESPONSE" | jq -r '.message')" = "Not Found" ]; then
+  echo "Error: Failed to fetch latest version from GitHub"
+  exit 1
+fi
+
+# Get the latest version
+LATEST_VERSION=$(echo "$API_RESPONSE" | jq -r '.tag_name')
+
+if [ -z "$LATEST_VERSION" ] || [ "$LATEST_VERSION" = "null" ]; then
+  echo "Error: No valid version found in GitHub releases"
+  exit 1
+fi
+
+# Cleaned up version number format (removed possible 'v' prefix and -nightly suffix)
+CLEAN_CURRENT=$(echo "$CURRENT_VERSION" | sed 's/^v//' | sed 's/-nightly-.*//')
+CLEAN_LATEST=$(echo "$LATEST_VERSION" | sed 's/^v//' | sed 's/-nightly-.*//')
+
+echo "Current version: $CLEAN_CURRENT"
+echo "Latest release version: $CLEAN_LATEST"
+
+# Use sort -V to compare versions
+HIGHER_VERSION=$(printf "%s\n%s" "$CLEAN_CURRENT" "$CLEAN_LATEST" | sort -V | tail -n1)
+
+if [ "$HIGHER_VERSION" = "$CLEAN_CURRENT" ]; then
+  echo "Current version ($CLEAN_CURRENT) is NEWER than or EQUAL to latest ($CLEAN_LATEST)"
+  echo "should-push-latest-tag=true" >> $GITHUB_OUTPUT
+else
+  echo "Current version ($CLEAN_CURRENT) is OLDER than latest ($CLEAN_LATEST)"
+  echo "should-push-latest-tag=false" >> $GITHUB_OUTPUT
+fi

.github/scripts/create-version.sh

@@ -16,7 +16,8 @@ function create_version() {
 
   if [ -z "$NEXT_RELEASE_VERSION" ]; then
       echo "NEXT_RELEASE_VERSION is empty, use version from Cargo.toml" >&2
-      export NEXT_RELEASE_VERSION=$(grep '^version = ' Cargo.toml | cut -d '"' -f 2 | head -n 1)
+      # NOTE: Need a `v` prefix for the version string.
+      export NEXT_RELEASE_VERSION=v$(grep '^version = ' Cargo.toml | cut -d '"' -f 2 | head -n 1)
   fi
 
   if [ -z "$NIGHTLY_RELEASE_PREFIX" ]; then

.github/scripts/deploy-greptimedb.sh

@@ -68,7 +68,7 @@ function deploy_greptimedb_cluster() {
 
   helm install "$cluster_name" greptime/greptimedb-cluster \
     --set image.tag="$GREPTIMEDB_IMAGE_TAG" \
-    --set meta.etcdEndpoints="etcd.$install_namespace:2379" \
+    --set meta.backendStorage.etcd.endpoints="etcd.$install_namespace:2379" \
     -n "$install_namespace"
 
   # Wait for greptimedb cluster to be ready.
@@ -103,7 +103,7 @@ function deploy_greptimedb_cluster_with_s3_storage() {
 
   helm install "$cluster_name" greptime/greptimedb-cluster -n "$install_namespace" \
     --set image.tag="$GREPTIMEDB_IMAGE_TAG" \
-    --set meta.etcdEndpoints="etcd.$install_namespace:2379" \
+    --set meta.backendStorage.etcd.endpoints="etcd.$install_namespace:2379" \
     --set storage.s3.bucket="$AWS_CI_TEST_BUCKET" \
     --set storage.s3.region="$AWS_REGION" \
     --set storage.s3.root="$DATA_ROOT" \

.github/scripts/update-dev-builder-version.sh

@@ -4,7 +4,7 @@ DEV_BUILDER_IMAGE_TAG=$1
 
 update_dev_builder_version() {
   if [ -z "$DEV_BUILDER_IMAGE_TAG" ]; then
-    echo "Error: Should specify the dev-builder image tag" 
+    echo "Error: Should specify the dev-builder image tag"
     exit 1
   fi
 
@@ -17,7 +17,7 @@ update_dev_builder_version() {
   git checkout -b $BRANCH_NAME
 
   # Update the dev-builder image tag in the Makefile.
-  gsed -i "s/DEV_BUILDER_IMAGE_TAG ?=.*/DEV_BUILDER_IMAGE_TAG ?= ${DEV_BUILDER_IMAGE_TAG}/g" Makefile
+  sed -i "s/DEV_BUILDER_IMAGE_TAG ?=.*/DEV_BUILDER_IMAGE_TAG ?= ${DEV_BUILDER_IMAGE_TAG}/g" Makefile
 
   # Commit the changes.
   git add Makefile

.github/scripts/update-helm-charts-version.sh

@@ -30,7 +30,7 @@ update_helm_charts_version() {
 
   # Commit the changes.
   git add .
-  git commit -m "chore: Update GreptimeDB version to ${VERSION}"
+  git commit -s -m "chore: Update GreptimeDB version to ${VERSION}"
   git push origin $BRANCH_NAME
 
   # Create a Pull Request.

.github/scripts/update-homebrew-greptme-version.sh

@@ -26,7 +26,7 @@ update_homebrew_greptime_version() {
 
   # Commit the changes.
   git add .
-  git commit -m "chore: Update GreptimeDB version to ${VERSION}"
+  git commit -s -m "chore: Update GreptimeDB version to ${VERSION}"
   git push origin $BRANCH_NAME
 
   # Create a Pull Request.

.github/workflows/dev-build.yml

@@ -55,6 +55,11 @@ on:
         description: Build and push images to DockerHub and ACR
         required: false
         default: true
+      upload_artifacts_to_s3:
+        type: boolean
+        description: Whether upload artifacts to s3
+        required: false
+        default: false
       cargo_profile:
         type: choice
         description: The cargo profile to use in building GreptimeDB.
@@ -238,7 +243,7 @@ jobs:
           version: ${{ needs.allocate-runners.outputs.version }}
           push-latest-tag: false # Don't push the latest tag to registry.
           dev-mode: true # Only build the standard images.
-          
+
       - name: Echo Docker image tag to step summary
         run: |
           echo "## Docker Image Tag" >> $GITHUB_STEP_SUMMARY
@@ -281,7 +286,7 @@ jobs:
           aws-cn-access-key-id: ${{ secrets.AWS_CN_ACCESS_KEY_ID }}
           aws-cn-secret-access-key: ${{ secrets.AWS_CN_SECRET_ACCESS_KEY }}
           aws-cn-region: ${{ vars.AWS_RELEASE_BUCKET_REGION }}
-          upload-to-s3: false
+          upload-to-s3: ${{ inputs.upload_artifacts_to_s3 }}
           dev-mode: true                     # Only build the standard images(exclude centos images).
           push-latest-tag: false             # Don't push the latest tag to registry.
           update-version-info: false         # Don't update the version info in S3.

.github/workflows/develop.yml

@@ -195,6 +195,7 @@ jobs:
     runs-on: ubuntu-latest
     timeout-minutes: 60
     strategy:
+      fail-fast: false
       matrix:
         target: [ "unstable_fuzz_create_table_standalone" ]
     steps:
@@ -249,6 +250,11 @@ jobs:
           name: unstable-fuzz-logs
           path: /tmp/unstable-greptime/
           retention-days: 3
+      - name: Describe pods
+        if: failure()
+        shell: bash
+        run: |
+          kubectl describe pod -n my-greptimedb
 
   build-greptime-ci:
     if: ${{ github.repository == 'GreptimeTeam/greptimedb' }}
@@ -299,6 +305,7 @@ jobs:
     needs:  build-greptime-ci
     timeout-minutes: 60
     strategy:
+      fail-fast: false
       matrix:
         target: [ "fuzz_create_table", "fuzz_alter_table", "fuzz_create_database", "fuzz_create_logical_table", "fuzz_alter_logical_table", "fuzz_insert", "fuzz_insert_logical_table" ]
         mode:
@@ -403,6 +410,11 @@ jobs:
         shell: bash
         run: |
           kubectl describe nodes
+      - name: Describe pod
+        if: failure()
+        shell: bash
+        run: |
+          kubectl describe pod -n my-greptimedb
       - name: Export kind logs
         if: failure()
         shell: bash
@@ -431,6 +443,7 @@ jobs:
     needs:  build-greptime-ci
     timeout-minutes: 60
     strategy:
+      fail-fast: false
       matrix:
         target: ["fuzz_migrate_mito_regions", "fuzz_migrate_metric_regions", "fuzz_failover_mito_regions", "fuzz_failover_metric_regions"]
         mode:
@@ -551,6 +564,11 @@ jobs:
         shell: bash
         run: |
           kubectl describe nodes
+      - name: Describe pods
+        if: failure()
+        shell: bash
+        run: |
+          kubectl describe pod -n my-greptimedb
       - name: Export kind logs
         if: failure()
         shell: bash
@@ -578,6 +596,7 @@ jobs:
     needs: build
     runs-on: ${{ matrix.os }}
     strategy:
+      fail-fast: false
       matrix:
         os: [ ubuntu-latest ]
         mode:

.github/workflows/nightly-ci.yml

@@ -124,9 +124,7 @@ jobs:
           fetch-depth: 0
           persist-credentials: false
       - uses: cachix/install-nix-action@v31
-        with:
-          nix_path: nixpkgs=channel:nixos-24.11
-      - run: nix develop --command cargo build --bin greptime
+      - run: nix develop --command cargo check --bin greptime
         env:
           CARGO_BUILD_RUSTFLAGS: "-C link-arg=-fuse-ld=mold"
 

.github/workflows/pr-labeling.yaml

@@ -0,0 +1,42 @@
+name: 'PR Labeling'
+
+on:
+  pull_request_target:
+    types:
+      - opened
+      - synchronize
+      - reopened
+
+permissions:
+  contents: read
+  pull-requests: write
+  issues: write
+
+jobs:
+  labeler:
+    runs-on: ubuntu-latest
+    steps:
+      - name: Checkout sources
+        uses: actions/checkout@v4
+
+      - uses: actions/labeler@v5
+        with:
+          configuration-path: ".github/labeler.yaml"
+          repo-token: "${{ secrets.GITHUB_TOKEN }}"
+
+  size-label:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: pascalgn/size-label-action@v0.5.5
+        env:
+          GITHUB_TOKEN: "${{ secrets.GITHUB_TOKEN }}"
+        with:
+          sizes: >
+            {
+              "0": "XS",
+              "100": "S",
+              "300": "M",
+              "1000": "L",
+              "1500": "XL",
+              "2000": "XXL"
+            }

.github/workflows/release.yml

@@ -110,6 +110,8 @@ jobs:
 
       # The 'version' use as the global tag name of the release workflow.
       version: ${{ steps.create-version.outputs.version }}
+
+      should-push-latest-tag: ${{ steps.check-version.outputs.should-push-latest-tag }}
     steps:
       - name: Checkout
         uses: actions/checkout@v4
@@ -135,6 +137,11 @@ jobs:
           GITHUB_REF_NAME: ${{ github.ref_name }}
           NIGHTLY_RELEASE_PREFIX: ${{ env.NIGHTLY_RELEASE_PREFIX }}
 
+      - name: Check version
+        id: check-version
+        run: |
+          ./.github/scripts/check-version.sh "${{ steps.create-version.outputs.version }}"
+
       - name: Allocate linux-amd64 runner
         if: ${{ inputs.build_linux_amd64_artifacts || github.event_name == 'push' || github.event_name == 'schedule' }}
         uses: ./.github/actions/start-runner
@@ -314,7 +321,7 @@ jobs:
           image-registry-username: ${{ secrets.DOCKERHUB_USERNAME }}
           image-registry-password: ${{ secrets.DOCKERHUB_TOKEN }}
           version: ${{ needs.allocate-runners.outputs.version }}
-          push-latest-tag: ${{ github.ref_type == 'tag' && !contains(github.ref_name, 'nightly') && github.event_name != 'schedule' }}
+          push-latest-tag: ${{ needs.allocate-runners.outputs.should-push-latest-tag == 'true' && github.ref_type == 'tag' && !contains(github.ref_name, 'nightly') && github.event_name != 'schedule' }}
 
       - name: Set build image result
         id: set-build-image-result
@@ -332,7 +339,7 @@ jobs:
       build-windows-artifacts,
       release-images-to-dockerhub,
     ]
-    runs-on: ubuntu-latest
+    runs-on: ubuntu-latest-16-cores
     # When we push to ACR, it's easy to fail due to some unknown network issues.
     # However, we don't want to fail the whole workflow because of this.
     # The ACR have daily sync with DockerHub, so don't worry about the image not being updated.
@@ -361,7 +368,7 @@ jobs:
           dev-mode: false
           upload-to-s3: true
           update-version-info: true
-          push-latest-tag: ${{ github.ref_type == 'tag' && !contains(github.ref_name, 'nightly') && github.event_name != 'schedule' }}
+          push-latest-tag: ${{ needs.allocate-runners.outputs.should-push-latest-tag == 'true' && github.ref_type == 'tag' && !contains(github.ref_name, 'nightly') && github.event_name != 'schedule' }}
 
   publish-github-release:
     name: Create GitHub release and upload artifacts
@@ -441,8 +448,8 @@ jobs:
           aws-region: ${{ vars.EC2_RUNNER_REGION }}
           github-token: ${{ secrets.GH_PERSONAL_ACCESS_TOKEN }}
 
-  bump-doc-version:
-    name: Bump doc version
+  bump-downstream-repo-versions:
+    name: Bump downstream repo versions
     if: ${{ github.event_name == 'push' || github.event_name == 'schedule' }}
     needs: [allocate-runners, publish-github-release]
     runs-on: ubuntu-latest
@@ -456,36 +463,16 @@ jobs:
           fetch-depth: 0
           persist-credentials: false
       - uses: ./.github/actions/setup-cyborg
-      - name: Bump doc version
+      - name: Bump downstream repo versions
         working-directory: cyborg
-        run: pnpm tsx bin/bump-doc-version.ts
-        env:
-          VERSION: ${{ needs.allocate-runners.outputs.version }}
-          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
-          DOCS_REPO_TOKEN: ${{ secrets.DOCS_REPO_TOKEN }}
-
-  bump-website-version:
-    name: Bump website version
-    if: ${{ github.ref_type == 'tag' && !contains(github.ref_name, 'nightly') && github.event_name != 'schedule' }}
-    needs: [allocate-runners, publish-github-release]
-    runs-on: ubuntu-latest
-    # Permission reference: https://docs.github.com/en/actions/using-jobs/assigning-permissions-to-jobs
-    permissions:
-      issues: write # Allows the action to create issues for cyborg.
-      contents: write # Allows the action to create a release.
-    steps:
-      - uses: actions/checkout@v4
-        with:
-          fetch-depth: 0
-          persist-credentials: false
-      - uses: ./.github/actions/setup-cyborg
-      - name: Bump website version
-        working-directory: cyborg
-        run: pnpm tsx bin/bump-website-version.ts
+        run: pnpm tsx bin/bump-versions.ts
         env:
+          TARGET_REPOS: website,docs,demo
           VERSION: ${{ needs.allocate-runners.outputs.version }}
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
           WEBSITE_REPO_TOKEN: ${{ secrets.WEBSITE_REPO_TOKEN }}
+          DOCS_REPO_TOKEN: ${{ secrets.DOCS_REPO_TOKEN }}
+          DEMO_REPO_TOKEN: ${{ secrets.DEMO_REPO_TOKEN }}
 
   bump-helm-charts-version:
     name: Bump helm charts version

.github/workflows/semantic-pull-request.yml

@@ -11,16 +11,17 @@ concurrency:
   group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
   cancel-in-progress: true
 
+permissions:
+  issues: write
+  contents: write
+  pull-requests: write
+
 jobs:
   check:
     runs-on: ubuntu-latest
-    permissions:
-      pull-requests: write  # Add permissions to modify PRs
     timeout-minutes: 10
     steps:
       - uses: actions/checkout@v4
-        with:
-          persist-credentials: false
       - uses: ./.github/actions/setup-cyborg
       - name: Check Pull Request
         working-directory: cyborg

.gitignore

@@ -60,4 +60,7 @@ tests-fuzz/corpus/
 greptimedb_data
 
 # github
-!/.github
+!/.github
+
+# Claude code
+CLAUDE.md

AUTHOR.md

@@ -10,12 +10,10 @@
 * [NiwakaDev](https://github.com/NiwakaDev)
 * [tisonkun](https://github.com/tisonkun)
 
-
 ## Team Members (in alphabetical order)
 
 * [apdong2022](https://github.com/apdong2022)
 * [beryl678](https://github.com/beryl678)
-* [Breeze-P](https://github.com/Breeze-P)
 * [daviderli614](https://github.com/daviderli614)
 * [discord9](https://github.com/discord9)
 * [evenyag](https://github.com/evenyag)

CONTRIBUTING.md

@@ -108,7 +108,7 @@ of what you were trying to do and what went wrong. You can also reach for help i
 The core team will be thrilled if you would like to participate in any way you like. When you are stuck, try to ask for help by filing an issue, with a detailed description of what you were trying to do and what went wrong. If you have any questions or if you would like to get involved in our community, please check out:
 
 - [GreptimeDB Community Slack](https://greptime.com/slack)
-- [GreptimeDB Github Discussions](https://github.com/GreptimeTeam/greptimedb/discussions)
+- [GreptimeDB GitHub Discussions](https://github.com/GreptimeTeam/greptimedb/discussions)
 
 Also, see some extra GreptimeDB content:
 

Cargo.toml

@@ -13,6 +13,7 @@ members = [
     "src/common/datasource",
     "src/common/decimal",
     "src/common/error",
+    "src/common/event-recorder",
     "src/common/frontend",
     "src/common/function",
     "src/common/greptimedb-telemetry",
@@ -30,6 +31,8 @@ members = [
     "src/common/recordbatch",
     "src/common/runtime",
     "src/common/session",
+    "src/common/sql",
+    "src/common/stat",
     "src/common/substrait",
     "src/common/telemetry",
     "src/common/test-util",
@@ -48,6 +51,7 @@ members = [
     "src/meta-client",
     "src/meta-srv",
     "src/metric-engine",
+    "src/mito-codec",
     "src/mito2",
     "src/object-store",
     "src/operator",
@@ -69,11 +73,13 @@ members = [
 resolver = "2"
 
 [workspace.package]
-version = "0.15.0"
+version = "0.17.0"
 edition = "2021"
 license = "Apache-2.0"
 
 [workspace.lints]
+clippy.print_stdout = "warn"
+clippy.print_stderr = "warn"
 clippy.dbg_macro = "warn"
 clippy.implicit_clone = "warn"
 clippy.result_large_err = "allow"
@@ -115,24 +121,26 @@ clap = { version = "4.4", features = ["derive"] }
 config = "0.13.0"
 crossbeam-utils = "0.8"
 dashmap = "6.1"
-datafusion = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "e104c7cf62b11dd5fe41461b82514978234326b4" }
-datafusion-common = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "e104c7cf62b11dd5fe41461b82514978234326b4" }
-datafusion-expr = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "e104c7cf62b11dd5fe41461b82514978234326b4" }
-datafusion-functions = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "e104c7cf62b11dd5fe41461b82514978234326b4" }
-datafusion-optimizer = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "e104c7cf62b11dd5fe41461b82514978234326b4" }
-datafusion-physical-expr = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "e104c7cf62b11dd5fe41461b82514978234326b4" }
-datafusion-physical-plan = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "e104c7cf62b11dd5fe41461b82514978234326b4" }
-datafusion-sql = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "e104c7cf62b11dd5fe41461b82514978234326b4" }
-datafusion-substrait = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "e104c7cf62b11dd5fe41461b82514978234326b4" }
+datafusion = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
+datafusion-common = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
+datafusion-expr = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
+datafusion-functions = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
+datafusion-functions-aggregate-common = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
+datafusion-optimizer = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
+datafusion-physical-expr = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
+datafusion-physical-plan = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
+datafusion-sql = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
+datafusion-substrait = { git = "https://github.com/waynexia/arrow-datafusion.git", rev = "12c0381babd52c681043957e9d6ee083a03f7646" }
 deadpool = "0.12"
 deadpool-postgres = "0.14"
 derive_builder = "0.20"
 dotenv = "0.15"
+either = "1.15"
 etcd-client = "0.14"
 fst = "0.4.7"
 futures = "0.3"
 futures-util = "0.3"
-greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "7668a882d57ca6a2333146e0574b8f0c9d5008ae" }
+greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "ccfd4da48bc0254ed865e479cd981a3581b02d84" }
 hex = "0.4"
 http = "1"
 humantime = "2.1"
@@ -148,6 +156,7 @@ meter-core = { git = "https://github.com/GreptimeTeam/greptime-meter.git", rev =
 mockall = "0.13"
 moka = "0.12"
 nalgebra = "0.33"
+nix = { version = "0.30.1", default-features = false, features = ["event", "fs", "process"] }
 notify = "8.0"
 num_cpus = "1.16"
 object_store_opendal = "0.50"
@@ -159,14 +168,14 @@ opentelemetry-proto = { version = "0.27", features = [
     "with-serde",
     "logs",
 ] }
+ordered-float = { version = "4.3", features = ["serde"] }
 parking_lot = "0.12"
 parquet = { version = "54.2", default-features = false, features = ["arrow", "async", "object_store"] }
 paste = "1.0"
 pin-project = "1.0"
+pretty_assertions = "1.4.0"
 prometheus = { version = "0.13.3", features = ["process"] }
-promql-parser = { git = "https://github.com/GreptimeTeam/promql-parser.git", rev = "0410e8b459dda7cb222ce9596f8bf3971bd07bd2", features = [
-    "ser",
-] }
+promql-parser = { version = "0.6", features = ["ser"] }
 prost = { version = "0.13", features = ["no-recursion-limit"] }
 raft-engine = { version = "0.4.1", default-features = false }
 rand = "0.9"
@@ -188,6 +197,7 @@ rust_decimal = "1.33"
 rustc-hash = "2.0"
 # It is worth noting that we should try to avoid using aws-lc-rs until it can be compiled on various platforms.
 rustls = { version = "0.23.25", default-features = false }
+sea-query = "0.32"
 serde = { version = "1.0", features = ["derive"] }
 serde_json = { version = "1.0", features = ["float_roundtrip"] }
 serde_with = "3"
@@ -196,7 +206,7 @@ simd-json = "0.15"
 similar-asserts = "1.6.0"
 smallvec = { version = "1", features = ["serde"] }
 snafu = "0.8"
-sqlparser = { git = "https://github.com/GreptimeTeam/sqlparser-rs.git", rev = "0cf6c04490d59435ee965edd2078e8855bd8471e", features = [
+sqlparser = { git = "https://github.com/GreptimeTeam/sqlparser-rs.git", rev = "df6fcca80ce903f5beef7002cd2c1b062e7024f8", features = [
     "visitor",
     "serde",
 ] } # branch = "v0.54.x"
@@ -217,10 +227,13 @@ tokio-util = { version = "0.7", features = ["io-util", "compat"] }
 toml = "0.8.8"
 tonic = { version = "0.12", features = ["tls", "gzip", "zstd"] }
 tower = "0.5"
+tower-http = "0.6"
+tracing = "0.1"
 tracing-appender = "0.2"
 tracing-subscriber = { version = "0.3", features = ["env-filter", "json", "fmt"] }
 typetag = "0.2"
 uuid = { version = "1.7", features = ["serde", "v4", "fast-rng"] }
+vrl = "0.25"
 zstd = "0.13"
 # DO_NOT_REMOVE_THIS: END_OF_EXTERNAL_DEPENDENCIES
 
@@ -238,6 +251,7 @@ common-config = { path = "src/common/config" }
 common-datasource = { path = "src/common/datasource" }
 common-decimal = { path = "src/common/decimal" }
 common-error = { path = "src/common/error" }
+common-event-recorder = { path = "src/common/event-recorder" }
 common-frontend = { path = "src/common/frontend" }
 common-function = { path = "src/common/function" }
 common-greptimedb-telemetry = { path = "src/common/greptimedb-telemetry" }
@@ -255,6 +269,7 @@ common-query = { path = "src/common/query" }
 common-recordbatch = { path = "src/common/recordbatch" }
 common-runtime = { path = "src/common/runtime" }
 common-session = { path = "src/common/session" }
+common-sql = { path = "src/common/sql" }
 common-telemetry = { path = "src/common/telemetry" }
 common-test-util = { path = "src/common/test-util" }
 common-time = { path = "src/common/time" }
@@ -272,6 +287,7 @@ log-store = { path = "src/log-store" }
 meta-client = { path = "src/meta-client" }
 meta-srv = { path = "src/meta-srv" }
 metric-engine = { path = "src/metric-engine" }
+mito-codec = { path = "src/mito-codec" }
 mito2 = { path = "src/mito2" }
 object-store = { path = "src/object-store" }
 operator = { path = "src/operator" }
@@ -287,6 +303,7 @@ query = { path = "src/query" }
 servers = { path = "src/servers" }
 session = { path = "src/session" }
 sql = { path = "src/sql" }
+stat = { path = "src/common/stat" }
 store-api = { path = "src/store-api" }
 substrait = { path = "src/common/substrait" }
 table = { path = "src/table" }

Makefile

@@ -8,7 +8,7 @@ CARGO_BUILD_OPTS := --locked
 IMAGE_REGISTRY ?= docker.io
 IMAGE_NAMESPACE ?= greptime
 IMAGE_TAG ?= latest
-DEV_BUILDER_IMAGE_TAG ?= 2025-04-15-1a517ec8-20250428023155
+DEV_BUILDER_IMAGE_TAG ?= 2025-05-19-b2377d4b-20250520045554
 BUILDX_MULTI_PLATFORM_BUILD ?= false
 BUILDX_BUILDER_NAME ?= gtbuilder
 BASE_IMAGE ?= ubuntu

README.md

@@ -75,9 +75,9 @@
 | --------- | ----------- |
 | [Unified Observability Data](https://docs.greptime.com/user-guide/concepts/why-greptimedb) | Store metrics, logs, and traces as timestamped, contextual wide events. Query via [SQL](https://docs.greptime.com/user-guide/query-data/sql), [PromQL](https://docs.greptime.com/user-guide/query-data/promql), and [streaming](https://docs.greptime.com/user-guide/flow-computation/overview). |
 | [High Performance & Cost Effective](https://docs.greptime.com/user-guide/manage-data/data-index) | Written in Rust, with a distributed query engine, [rich indexing](https://docs.greptime.com/user-guide/manage-data/data-index), and optimized columnar storage, delivering sub-second responses at PB scale. |
-| [Cloud-Native Architecture](https://docs.greptime.com/user-guide/concepts/architecture) | Designed for [Kubernetes](https://docs.greptime.com/user-guide/deployments/deploy-on-kubernetes/greptimedb-operator-management), with compute/storage separation, native object storage (AWS S3, Azure Blob, etc.) and seamless cross-cloud access. |
+| [Cloud-Native Architecture](https://docs.greptime.com/user-guide/concepts/architecture) | Designed for [Kubernetes](https://docs.greptime.com/user-guide/deployments-administration/deploy-on-kubernetes/greptimedb-operator-management), with compute/storage separation, native object storage (AWS S3, Azure Blob, etc.) and seamless cross-cloud access. |
 | [Developer-Friendly](https://docs.greptime.com/user-guide/protocols/overview) | Access via SQL/PromQL interfaces, REST API, MySQL/PostgreSQL protocols, and popular ingestion [protocols](https://docs.greptime.com/user-guide/protocols/overview). |
-| [Flexible Deployment](https://docs.greptime.com/user-guide/deployments/overview) | Deploy anywhere: edge (including ARM/[Android](https://docs.greptime.com/user-guide/deployments/run-on-android)) or cloud, with unified APIs and efficient data sync. |
+| [Flexible Deployment](https://docs.greptime.com/user-guide/deployments-administration/overview) | Deploy anywhere: edge (including ARM/[Android](https://docs.greptime.com/user-guide/deployments-administration/run-on-android)) or cloud, with unified APIs and efficient data sync. |
 
 Learn more in [Why GreptimeDB](https://docs.greptime.com/user-guide/concepts/why-greptimedb) and [Observability 2.0 and the Database for It](https://greptime.com/blogs/2025-04-25-greptimedb-observability2-new-database).
 
@@ -121,7 +121,7 @@ docker pull greptime/greptimedb
 
 ```shell
 docker run -p 127.0.0.1:4000-4003:4000-4003 \
-  -v "$(pwd)/greptimedb:/greptimedb_data" \
+  -v "$(pwd)/greptimedb_data:/greptimedb_data" \
   --name greptime --rm \
   greptime/greptimedb:latest standalone start \
   --http-addr 0.0.0.0:4000 \
@@ -129,7 +129,7 @@ docker run -p 127.0.0.1:4000-4003:4000-4003 \
   --mysql-addr 0.0.0.0:4002 \
   --postgres-addr 0.0.0.0:4003
 ```
-Dashboard: [http://localhost:4000/dashboard](http://localhost:4000/dashboard)  
+Dashboard: [http://localhost:4000/dashboard](http://localhost:4000/dashboard)
 [Full Install Guide](https://docs.greptime.com/getting-started/installation/overview)
 
 **Troubleshooting:**
@@ -167,7 +167,7 @@ cargo run -- standalone start
 
 ## Project Status
 
-> **Status:** Beta.  
+> **Status:** Beta.
 > **GA (v1.0):** Targeted for mid 2025.
 
 - Being used in production by early adopters
@@ -189,7 +189,8 @@ We invite you to engage and contribute!
 - [Official Website](https://greptime.com/)
 - [Blog](https://greptime.com/blogs/)
 - [LinkedIn](https://www.linkedin.com/company/greptime/)
-- [Twitter](https://twitter.com/greptime)
+- [X (Twitter)](https://X.com/greptime)
+- [YouTube](https://www.youtube.com/@greptime)
 
 ## License
 
@@ -197,8 +198,8 @@ GreptimeDB is licensed under the [Apache License 2.0](https://apache.org/license
 
 ## Commercial Support
 
-Running GreptimeDB in your organization?  
-We offer enterprise add-ons, services, training, and consulting.  
+Running GreptimeDB in your organization?
+We offer enterprise add-ons, services, training, and consulting.
 [Contact us](https://greptime.com/contactus) for details.
 
 ## Contributing

config/config.md

@@ -27,6 +27,7 @@
 | `http.body_limit` | String | `64MB` | HTTP request body limit.<br/>The following units are supported: `B`, `KB`, `KiB`, `MB`, `MiB`, `GB`, `GiB`, `TB`, `TiB`, `PB`, `PiB`.<br/>Set to 0 to disable limit. |
 | `http.enable_cors` | Bool | `true` | HTTP CORS support, it's turned on by default<br/>This allows browser to access http APIs without CORS restrictions |
 | `http.cors_allowed_origins` | Array | Unset | Customize allowed origins for HTTP CORS. |
+| `http.prom_validation_mode` | String | `strict` | Whether to enable validation for Prometheus remote write requests.<br/>Available options:<br/>- strict: deny invalid UTF-8 strings (default).<br/>- lossy: allow invalid UTF-8 strings, replace invalid characters with REPLACEMENT_CHARACTER(U+FFFD).<br/>- unchecked: do not valid strings. |
 | `grpc` | -- | -- | The gRPC server options. |
 | `grpc.bind_addr` | String | `127.0.0.1:4001` | The address to bind the gRPC server. |
 | `grpc.runtime_size` | Integer | `8` | The number of server worker threads. |
@@ -99,7 +100,7 @@
 | `query` | -- | -- | The query engine options. |
 | `query.parallelism` | Integer | `0` | Parallelism of the query engine.<br/>Default to 0, which means the number of CPU cores. |
 | `storage` | -- | -- | The data storage options. |
-| `storage.data_home` | String | `./greptimedb_data/` | The working home directory. |
+| `storage.data_home` | String | `./greptimedb_data` | The working home directory. |
 | `storage.type` | String | `File` | The storage type used to store the data.<br/>- `File`: the data is stored in the local file system.<br/>- `S3`: the data is stored in the S3 object storage.<br/>- `Gcs`: the data is stored in the Google Cloud Storage.<br/>- `Azblob`: the data is stored in the Azure Blob Storage.<br/>- `Oss`: the data is stored in the Aliyun OSS. |
 | `storage.cache_path` | String | Unset | Read cache configuration for object storage such as 'S3' etc, it's configured by default when using object storage. It is recommended to configure it when using object storage for better performance.<br/>A local file directory, defaults to `{data_home}`. An empty string means disabling. |
 | `storage.cache_capacity` | String | Unset | The local file cache capacity in bytes. If your disk space is sufficient, it is recommended to set it larger. |
@@ -122,6 +123,7 @@
 | `storage.http_client.connect_timeout` | String | `30s` | The timeout for only the connect phase of a http client. |
 | `storage.http_client.timeout` | String | `30s` | The total request timeout, applied from when the request starts connecting until the response body has finished.<br/>Also considered a total deadline. |
 | `storage.http_client.pool_idle_timeout` | String | `90s` | The timeout for idle sockets being kept-alive. |
+| `storage.http_client.skip_ssl_validation` | Bool | `false` | To skip the ssl verification<br/>**Security Notice**: Setting `skip_ssl_validation = true` disables certificate verification, making connections vulnerable to man-in-the-middle attacks. Only use this in development or trusted private networks. |
 | `[[region_engine]]` | -- | -- | The region engine options. You can configure multiple region engines. |
 | `region_engine.mito` | -- | -- | The Mito engine options. |
 | `region_engine.mito.num_workers` | Integer | `8` | Number of region workers. |
@@ -145,6 +147,7 @@
 | `region_engine.mito.write_cache_ttl` | String | Unset | TTL for write cache. |
 | `region_engine.mito.sst_write_buffer_size` | String | `8MB` | Buffer size for SST writing. |
 | `region_engine.mito.parallel_scan_channel_size` | Integer | `32` | Capacity of the channel to send data from parallel scan tasks to the main task. |
+| `region_engine.mito.max_concurrent_scan_files` | Integer | `128` | Maximum number of SST files to scan concurrently. |
 | `region_engine.mito.allow_stale_entries` | Bool | `false` | Whether to allow stale WAL entries read during replay. |
 | `region_engine.mito.min_compaction_interval` | String | `0m` | Minimum time interval between two compactions.<br/>To align with the old behavior, the default value is 0 (no restrictions). |
 | `region_engine.mito.index` | -- | -- | The options for index in Mito engine. |
@@ -183,10 +186,11 @@
 | `logging.dir` | String | `./greptimedb_data/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
 | `logging.level` | String | Unset | The log level. Can be `info`/`debug`/`warn`/`error`. |
 | `logging.enable_otlp_tracing` | Bool | `false` | Enable OTLP tracing. |
-| `logging.otlp_endpoint` | String | `http://localhost:4317` | The OTLP tracing endpoint. |
+| `logging.otlp_endpoint` | String | `http://localhost:4318` | The OTLP tracing endpoint. |
 | `logging.append_stdout` | Bool | `true` | Whether to append logs to stdout. |
 | `logging.log_format` | String | `text` | The log format. Can be `text`/`json`. |
 | `logging.max_log_files` | Integer | `720` | The maximum amount of log files. |
+| `logging.otlp_export_protocol` | String | `http` | The OTLP tracing export protocol. Can be `grpc`/`http`. |
 | `logging.tracing_sample_ratio` | -- | -- | The percentage of tracing will be sampled and exported.<br/>Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.<br/>ratio > 1 are treated as 1. Fractions < 0 are treated as 0 |
 | `logging.tracing_sample_ratio.default_ratio` | Float | `1.0` | -- |
 | `slow_query` | -- | -- | The slow query log options. |
@@ -194,16 +198,18 @@
 | `slow_query.record_type` | String | Unset | The record type of slow queries. It can be `system_table` or `log`. |
 | `slow_query.threshold` | String | Unset | The threshold of slow query. |
 | `slow_query.sample_ratio` | Float | Unset | The sampling ratio of slow query log. The value should be in the range of (0, 1]. |
-| `export_metrics` | -- | -- | The datanode can export its metrics and send to Prometheus compatible service (e.g. send to `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
+| `export_metrics` | -- | -- | The standalone can export its metrics and send to Prometheus compatible service (e.g. `greptimedb`) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
 | `export_metrics.enable` | Bool | `false` | whether enable export metrics. |
 | `export_metrics.write_interval` | String | `30s` | The interval of export metrics. |
 | `export_metrics.self_import` | -- | -- | For `standalone` mode, `self_import` is recommended to collect metrics generated by itself<br/>You must create the database before enabling it. |
 | `export_metrics.self_import.db` | String | Unset | -- |
 | `export_metrics.remote_write` | -- | -- | -- |
-| `export_metrics.remote_write.url` | String | `""` | The url the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
+| `export_metrics.remote_write.url` | String | `""` | The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
 | `export_metrics.remote_write.headers` | InlineTable | -- | HTTP headers of Prometheus remote-write carry. |
 | `tracing` | -- | -- | The tracing options. Only effect when compiled with `tokio-console` feature. |
 | `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
+| `memory` | -- | -- | The memory options. |
+| `memory.enable_heap_profiling` | Bool | `true` | Whether to enable heap profiling activation during startup.<br/>When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable<br/>is set to "prof:true,prof_active:false". The official image adds this env variable.<br/>Default is true. |
 
 
 ## Distributed Mode
@@ -226,10 +232,12 @@
 | `http.body_limit` | String | `64MB` | HTTP request body limit.<br/>The following units are supported: `B`, `KB`, `KiB`, `MB`, `MiB`, `GB`, `GiB`, `TB`, `TiB`, `PB`, `PiB`.<br/>Set to 0 to disable limit. |
 | `http.enable_cors` | Bool | `true` | HTTP CORS support, it's turned on by default<br/>This allows browser to access http APIs without CORS restrictions |
 | `http.cors_allowed_origins` | Array | Unset | Customize allowed origins for HTTP CORS. |
+| `http.prom_validation_mode` | String | `strict` | Whether to enable validation for Prometheus remote write requests.<br/>Available options:<br/>- strict: deny invalid UTF-8 strings (default).<br/>- lossy: allow invalid UTF-8 strings, replace invalid characters with REPLACEMENT_CHARACTER(U+FFFD).<br/>- unchecked: do not valid strings. |
 | `grpc` | -- | -- | The gRPC server options. |
 | `grpc.bind_addr` | String | `127.0.0.1:4001` | The address to bind the gRPC server. |
 | `grpc.server_addr` | String | `127.0.0.1:4001` | The address advertised to the metasrv, and used for connections from outside the host.<br/>If left empty or unset, the server will automatically use the IP address of the first network interface<br/>on the host, with the same port number as the one specified in `grpc.bind_addr`. |
 | `grpc.runtime_size` | Integer | `8` | The number of server worker threads. |
+| `grpc.flight_compression` | String | `arrow_ipc` | Compression mode for frontend side Arrow IPC service. Available options:<br/>- `none`: disable all compression<br/>- `transport`: only enable gRPC transport compression (zstd)<br/>- `arrow_ipc`: only enable Arrow IPC compression (lz4)<br/>- `all`: enable all compression.<br/>Default to `none` |
 | `grpc.tls` | -- | -- | gRPC server TLS options, see `mysql.tls` section. |
 | `grpc.tls.mode` | String | `disable` | TLS mode. |
 | `grpc.tls.cert_path` | String | Unset | Certificate file path. |
@@ -276,6 +284,7 @@
 | `meta_client.metadata_cache_tti` | String | `5m` | -- |
 | `query` | -- | -- | The query engine options. |
 | `query.parallelism` | Integer | `0` | Parallelism of the query engine.<br/>Default to 0, which means the number of CPU cores. |
+| `query.allow_query_fallback` | Bool | `false` | Whether to allow query fallback when push down optimize fails.<br/>Default to false, meaning when push down optimize failed, return error msg |
 | `datanode` | -- | -- | Datanode options. |
 | `datanode.client` | -- | -- | Datanode client options. |
 | `datanode.client.connect_timeout` | String | `10s` | -- |
@@ -284,10 +293,11 @@
 | `logging.dir` | String | `./greptimedb_data/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
 | `logging.level` | String | Unset | The log level. Can be `info`/`debug`/`warn`/`error`. |
 | `logging.enable_otlp_tracing` | Bool | `false` | Enable OTLP tracing. |
-| `logging.otlp_endpoint` | String | `http://localhost:4317` | The OTLP tracing endpoint. |
+| `logging.otlp_endpoint` | String | `http://localhost:4318` | The OTLP tracing endpoint. |
 | `logging.append_stdout` | Bool | `true` | Whether to append logs to stdout. |
 | `logging.log_format` | String | `text` | The log format. Can be `text`/`json`. |
 | `logging.max_log_files` | Integer | `720` | The maximum amount of log files. |
+| `logging.otlp_export_protocol` | String | `http` | The OTLP tracing export protocol. Can be `grpc`/`http`. |
 | `logging.tracing_sample_ratio` | -- | -- | The percentage of tracing will be sampled and exported.<br/>Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.<br/>ratio > 1 are treated as 1. Fractions < 0 are treated as 0 |
 | `logging.tracing_sample_ratio.default_ratio` | Float | `1.0` | -- |
 | `slow_query` | -- | -- | The slow query log options. |
@@ -296,39 +306,54 @@
 | `slow_query.threshold` | String | `30s` | The threshold of slow query. It can be human readable time string, for example: `10s`, `100ms`, `1s`. |
 | `slow_query.sample_ratio` | Float | `1.0` | The sampling ratio of slow query log. The value should be in the range of (0, 1]. For example, `0.1` means 10% of the slow queries will be logged and `1.0` means all slow queries will be logged. |
 | `slow_query.ttl` | String | `30d` | The TTL of the `slow_queries` system table. Default is `30d` when `record_type` is `system_table`. |
-| `export_metrics` | -- | -- | The datanode can export its metrics and send to Prometheus compatible service (e.g. send to `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
+| `export_metrics` | -- | -- | The frontend can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
 | `export_metrics.enable` | Bool | `false` | whether enable export metrics. |
 | `export_metrics.write_interval` | String | `30s` | The interval of export metrics. |
-| `export_metrics.self_import` | -- | -- | For `standalone` mode, `self_import` is recommend to collect metrics generated by itself<br/>You must create the database before enabling it. |
-| `export_metrics.self_import.db` | String | Unset | -- |
 | `export_metrics.remote_write` | -- | -- | -- |
-| `export_metrics.remote_write.url` | String | `""` | The url the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
+| `export_metrics.remote_write.url` | String | `""` | The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
 | `export_metrics.remote_write.headers` | InlineTable | -- | HTTP headers of Prometheus remote-write carry. |
 | `tracing` | -- | -- | The tracing options. Only effect when compiled with `tokio-console` feature. |
 | `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
+| `memory` | -- | -- | The memory options. |
+| `memory.enable_heap_profiling` | Bool | `true` | Whether to enable heap profiling activation during startup.<br/>When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable<br/>is set to "prof:true,prof_active:false". The official image adds this env variable.<br/>Default is true. |
 
 
 ### Metasrv
 
 | Key | Type | Default | Descriptions |
 | --- | -----| ------- | ----------- |
-| `data_home` | String | `./greptimedb_data/metasrv/` | The working home directory. |
-| `bind_addr` | String | `127.0.0.1:3002` | The bind address of metasrv. |
-| `server_addr` | String | `127.0.0.1:3002` | The communication server address for the frontend and datanode to connect to metasrv.<br/>If left empty or unset, the server will automatically use the IP address of the first network interface<br/>on the host, with the same port number as the one specified in `bind_addr`. |
+| `data_home` | String | `./greptimedb_data` | The working home directory. |
 | `store_addrs` | Array | -- | Store server address default to etcd store.<br/>For postgres store, the format is:<br/>"password=password dbname=postgres user=postgres host=localhost port=5432"<br/>For etcd store, the format is:<br/>"127.0.0.1:2379" |
 | `store_key_prefix` | String | `""` | If it's not empty, the metasrv will store all data with this key prefix. |
-| `backend` | String | `etcd_store` | The datastore for meta server.<br/>Available values:<br/>- `etcd_store` (default value)<br/>- `memory_store`<br/>- `postgres_store` |
+| `backend` | String | `etcd_store` | The datastore for meta server.<br/>Available values:<br/>- `etcd_store` (default value)<br/>- `memory_store`<br/>- `postgres_store`<br/>- `mysql_store` |
 | `meta_table_name` | String | `greptime_metakv` | Table name in RDS to store metadata. Effect when using a RDS kvbackend.<br/>**Only used when backend is `postgres_store`.** |
 | `meta_election_lock_id` | Integer | `1` | Advisory lock id in PostgreSQL for election. Effect when using PostgreSQL as kvbackend<br/>Only used when backend is `postgres_store`. |
 | `selector` | String | `round_robin` | Datanode selector type.<br/>- `round_robin` (default value)<br/>- `lease_based`<br/>- `load_based`<br/>For details, please see "https://docs.greptime.com/developer-guide/metasrv/selector". |
 | `use_memory_store` | Bool | `false` | Store data in memory. |
 | `enable_region_failover` | Bool | `false` | Whether to enable region failover.<br/>This feature is only available on GreptimeDB running on cluster mode and<br/>- Using Remote WAL<br/>- Using shared storage (e.g., s3). |
+| `region_failure_detector_initialization_delay` | String | `10m` | The delay before starting region failure detection.<br/>This delay helps prevent Metasrv from triggering unnecessary region failovers before all Datanodes are fully started.<br/>Especially useful when the cluster is not deployed with GreptimeDB Operator and maintenance mode is not enabled. |
 | `allow_region_failover_on_local_wal` | Bool | `false` | Whether to allow region failover on local WAL.<br/>**This option is not recommended to be set to true, because it may lead to data loss during failover.** |
 | `node_max_idle_time` | String | `24hours` | Max allowed idle time before removing node info from metasrv memory. |
 | `enable_telemetry` | Bool | `true` | Whether to enable greptimedb telemetry. Enabled by default. |
 | `runtime` | -- | -- | The runtime options. |
 | `runtime.global_rt_size` | Integer | `8` | The number of threads to execute the runtime for global read operations. |
 | `runtime.compact_rt_size` | Integer | `4` | The number of threads to execute the runtime for global write operations. |
+| `backend_tls` | -- | -- | TLS configuration for kv store backend (only applicable for PostgreSQL/MySQL backends)<br/>When using PostgreSQL or MySQL as metadata store, you can configure TLS here |
+| `backend_tls.mode` | String | `prefer` | TLS mode, refer to https://www.postgresql.org/docs/current/libpq-ssl.html<br/>- "disable" - No TLS<br/>- "prefer" (default) - Try TLS, fallback to plain<br/>- "require" - Require TLS<br/>- "verify_ca" - Require TLS and verify CA<br/>- "verify_full" - Require TLS and verify hostname |
+| `backend_tls.cert_path` | String | `""` | Path to client certificate file (for client authentication)<br/>Like "/path/to/client.crt" |
+| `backend_tls.key_path` | String | `""` | Path to client private key file (for client authentication)<br/>Like "/path/to/client.key" |
+| `backend_tls.ca_cert_path` | String | `""` | Path to CA certificate file (for server certificate verification)<br/>Required when using custom CAs or self-signed certificates<br/>Leave empty to use system root certificates only<br/>Like "/path/to/ca.crt" |
+| `backend_tls.watch` | Bool | `false` | Watch for certificate file changes and auto reload |
+| `grpc` | -- | -- | The gRPC server options. |
+| `grpc.bind_addr` | String | `127.0.0.1:3002` | The address to bind the gRPC server. |
+| `grpc.server_addr` | String | `127.0.0.1:3002` | The communication server address for the frontend and datanode to connect to metasrv.<br/>If left empty or unset, the server will automatically use the IP address of the first network interface<br/>on the host, with the same port number as the one specified in `bind_addr`. |
+| `grpc.runtime_size` | Integer | `8` | The number of server worker threads. |
+| `grpc.max_recv_message_size` | String | `512MB` | The maximum receive message size for gRPC server. |
+| `grpc.max_send_message_size` | String | `512MB` | The maximum send message size for gRPC server. |
+| `http` | -- | -- | The HTTP server options. |
+| `http.addr` | String | `127.0.0.1:4000` | The address to bind the HTTP server. |
+| `http.timeout` | String | `0s` | HTTP request timeout. Set to 0 to disable timeout. |
+| `http.body_limit` | String | `64MB` | HTTP request body limit.<br/>The following units are supported: `B`, `KB`, `KiB`, `MB`, `MiB`, `GB`, `GiB`, `TB`, `TiB`, `PB`, `PiB`.<br/>Set to 0 to disable limit. |
 | `procedure` | -- | -- | Procedure storage options. |
 | `procedure.max_retry_times` | Integer | `12` | Procedure max retry time. |
 | `procedure.retry_delay` | String | `500ms` | Initial retry delay of procedures, increases exponentially |
@@ -356,26 +381,29 @@
 | `wal.topic_name_prefix` | String | `greptimedb_wal_topic` | A Kafka topic is constructed by concatenating `topic_name_prefix` and `topic_id`.<br/>Only accepts strings that match the following regular expression pattern:<br/>[a-zA-Z_:-][a-zA-Z0-9_:\-\.@#]*<br/>i.g., greptimedb_wal_topic_0, greptimedb_wal_topic_1. |
 | `wal.replication_factor` | Integer | `1` | Expected number of replicas of each partition. |
 | `wal.create_topic_timeout` | String | `30s` | Above which a topic creation operation will be cancelled. |
+| `event_recorder` | -- | -- | Configuration options for the event recorder. |
+| `event_recorder.ttl` | String | `30d` | TTL for the events table that will be used to store the events. |
 | `logging` | -- | -- | The logging options. |
 | `logging.dir` | String | `./greptimedb_data/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
 | `logging.level` | String | Unset | The log level. Can be `info`/`debug`/`warn`/`error`. |
 | `logging.enable_otlp_tracing` | Bool | `false` | Enable OTLP tracing. |
-| `logging.otlp_endpoint` | String | `http://localhost:4317` | The OTLP tracing endpoint. |
+| `logging.otlp_endpoint` | String | `http://localhost:4318` | The OTLP tracing endpoint. |
 | `logging.append_stdout` | Bool | `true` | Whether to append logs to stdout. |
 | `logging.log_format` | String | `text` | The log format. Can be `text`/`json`. |
 | `logging.max_log_files` | Integer | `720` | The maximum amount of log files. |
+| `logging.otlp_export_protocol` | String | `http` | The OTLP tracing export protocol. Can be `grpc`/`http`. |
 | `logging.tracing_sample_ratio` | -- | -- | The percentage of tracing will be sampled and exported.<br/>Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.<br/>ratio > 1 are treated as 1. Fractions < 0 are treated as 0 |
 | `logging.tracing_sample_ratio.default_ratio` | Float | `1.0` | -- |
-| `export_metrics` | -- | -- | The datanode can export its metrics and send to Prometheus compatible service (e.g. send to `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
+| `export_metrics` | -- | -- | The metasrv can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
 | `export_metrics.enable` | Bool | `false` | whether enable export metrics. |
 | `export_metrics.write_interval` | String | `30s` | The interval of export metrics. |
-| `export_metrics.self_import` | -- | -- | For `standalone` mode, `self_import` is recommend to collect metrics generated by itself<br/>You must create the database before enabling it. |
-| `export_metrics.self_import.db` | String | Unset | -- |
 | `export_metrics.remote_write` | -- | -- | -- |
-| `export_metrics.remote_write.url` | String | `""` | The url the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
+| `export_metrics.remote_write.url` | String | `""` | The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
 | `export_metrics.remote_write.headers` | InlineTable | -- | HTTP headers of Prometheus remote-write carry. |
 | `tracing` | -- | -- | The tracing options. Only effect when compiled with `tokio-console` feature. |
 | `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
+| `memory` | -- | -- | The memory options. |
+| `memory.enable_heap_profiling` | Bool | `true` | Whether to enable heap profiling activation during startup.<br/>When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable<br/>is set to "prof:true,prof_active:false". The official image adds this env variable.<br/>Default is true. |
 
 
 ### Datanode
@@ -398,6 +426,7 @@
 | `grpc.runtime_size` | Integer | `8` | The number of server worker threads. |
 | `grpc.max_recv_message_size` | String | `512MB` | The maximum receive message size for gRPC server. |
 | `grpc.max_send_message_size` | String | `512MB` | The maximum send message size for gRPC server. |
+| `grpc.flight_compression` | String | `arrow_ipc` | Compression mode for datanode side Arrow IPC service. Available options:<br/>- `none`: disable all compression<br/>- `transport`: only enable gRPC transport compression (zstd)<br/>- `arrow_ipc`: only enable Arrow IPC compression (lz4)<br/>- `all`: enable all compression.<br/>Default to `none` |
 | `grpc.tls` | -- | -- | gRPC server TLS options, see `mysql.tls` section. |
 | `grpc.tls.mode` | String | `disable` | TLS mode. |
 | `grpc.tls.cert_path` | String | Unset | Certificate file path. |
@@ -423,8 +452,8 @@
 | `wal.provider` | String | `raft_engine` | The provider of the WAL.<br/>- `raft_engine`: the wal is stored in the local file system by raft-engine.<br/>- `kafka`: it's remote wal that data is stored in Kafka. |
 | `wal.dir` | String | Unset | The directory to store the WAL files.<br/>**It's only used when the provider is `raft_engine`**. |
 | `wal.file_size` | String | `128MB` | The size of the WAL segment file.<br/>**It's only used when the provider is `raft_engine`**. |
-| `wal.purge_threshold` | String | `1GB` | The threshold of the WAL size to trigger a flush.<br/>**It's only used when the provider is `raft_engine`**. |
-| `wal.purge_interval` | String | `1m` | The interval to trigger a flush.<br/>**It's only used when the provider is `raft_engine`**. |
+| `wal.purge_threshold` | String | `1GB` | The threshold of the WAL size to trigger a purge.<br/>**It's only used when the provider is `raft_engine`**. |
+| `wal.purge_interval` | String | `1m` | The interval to trigger a purge.<br/>**It's only used when the provider is `raft_engine`**. |
 | `wal.read_batch_size` | Integer | `128` | The read batch size.<br/>**It's only used when the provider is `raft_engine`**. |
 | `wal.sync_write` | Bool | `false` | Whether to use sync write.<br/>**It's only used when the provider is `raft_engine`**. |
 | `wal.enable_log_recycle` | Bool | `true` | Whether to reuse logically truncated log files.<br/>**It's only used when the provider is `raft_engine`**. |
@@ -440,7 +469,7 @@
 | `query` | -- | -- | The query engine options. |
 | `query.parallelism` | Integer | `0` | Parallelism of the query engine.<br/>Default to 0, which means the number of CPU cores. |
 | `storage` | -- | -- | The data storage options. |
-| `storage.data_home` | String | `./greptimedb_data/` | The working home directory. |
+| `storage.data_home` | String | `./greptimedb_data` | The working home directory. |
 | `storage.type` | String | `File` | The storage type used to store the data.<br/>- `File`: the data is stored in the local file system.<br/>- `S3`: the data is stored in the S3 object storage.<br/>- `Gcs`: the data is stored in the Google Cloud Storage.<br/>- `Azblob`: the data is stored in the Azure Blob Storage.<br/>- `Oss`: the data is stored in the Aliyun OSS. |
 | `storage.cache_path` | String | Unset | Read cache configuration for object storage such as 'S3' etc, it's configured by default when using object storage. It is recommended to configure it when using object storage for better performance.<br/>A local file directory, defaults to `{data_home}`. An empty string means disabling. |
 | `storage.cache_capacity` | String | Unset | The local file cache capacity in bytes. If your disk space is sufficient, it is recommended to set it larger. |
@@ -463,6 +492,7 @@
 | `storage.http_client.connect_timeout` | String | `30s` | The timeout for only the connect phase of a http client. |
 | `storage.http_client.timeout` | String | `30s` | The total request timeout, applied from when the request starts connecting until the response body has finished.<br/>Also considered a total deadline. |
 | `storage.http_client.pool_idle_timeout` | String | `90s` | The timeout for idle sockets being kept-alive. |
+| `storage.http_client.skip_ssl_validation` | Bool | `false` | To skip the ssl verification<br/>**Security Notice**: Setting `skip_ssl_validation = true` disables certificate verification, making connections vulnerable to man-in-the-middle attacks. Only use this in development or trusted private networks. |
 | `[[region_engine]]` | -- | -- | The region engine options. You can configure multiple region engines. |
 | `region_engine.mito` | -- | -- | The Mito engine options. |
 | `region_engine.mito.num_workers` | Integer | `8` | Number of region workers. |
@@ -486,6 +516,7 @@
 | `region_engine.mito.write_cache_ttl` | String | Unset | TTL for write cache. |
 | `region_engine.mito.sst_write_buffer_size` | String | `8MB` | Buffer size for SST writing. |
 | `region_engine.mito.parallel_scan_channel_size` | Integer | `32` | Capacity of the channel to send data from parallel scan tasks to the main task. |
+| `region_engine.mito.max_concurrent_scan_files` | Integer | `128` | Maximum number of SST files to scan concurrently. |
 | `region_engine.mito.allow_stale_entries` | Bool | `false` | Whether to allow stale WAL entries read during replay. |
 | `region_engine.mito.min_compaction_interval` | String | `0m` | Minimum time interval between two compactions.<br/>To align with the old behavior, the default value is 0 (no restrictions). |
 | `region_engine.mito.index` | -- | -- | The options for index in Mito engine. |
@@ -524,22 +555,23 @@
 | `logging.dir` | String | `./greptimedb_data/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
 | `logging.level` | String | Unset | The log level. Can be `info`/`debug`/`warn`/`error`. |
 | `logging.enable_otlp_tracing` | Bool | `false` | Enable OTLP tracing. |
-| `logging.otlp_endpoint` | String | `http://localhost:4317` | The OTLP tracing endpoint. |
+| `logging.otlp_endpoint` | String | `http://localhost:4318` | The OTLP tracing endpoint. |
 | `logging.append_stdout` | Bool | `true` | Whether to append logs to stdout. |
 | `logging.log_format` | String | `text` | The log format. Can be `text`/`json`. |
 | `logging.max_log_files` | Integer | `720` | The maximum amount of log files. |
+| `logging.otlp_export_protocol` | String | `http` | The OTLP tracing export protocol. Can be `grpc`/`http`. |
 | `logging.tracing_sample_ratio` | -- | -- | The percentage of tracing will be sampled and exported.<br/>Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.<br/>ratio > 1 are treated as 1. Fractions < 0 are treated as 0 |
 | `logging.tracing_sample_ratio.default_ratio` | Float | `1.0` | -- |
-| `export_metrics` | -- | -- | The datanode can export its metrics and send to Prometheus compatible service (e.g. send to `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
+| `export_metrics` | -- | -- | The datanode can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
 | `export_metrics.enable` | Bool | `false` | whether enable export metrics. |
 | `export_metrics.write_interval` | String | `30s` | The interval of export metrics. |
-| `export_metrics.self_import` | -- | -- | For `standalone` mode, `self_import` is recommend to collect metrics generated by itself<br/>You must create the database before enabling it. |
-| `export_metrics.self_import.db` | String | Unset | -- |
 | `export_metrics.remote_write` | -- | -- | -- |
-| `export_metrics.remote_write.url` | String | `""` | The url the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
+| `export_metrics.remote_write.url` | String | `""` | The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
 | `export_metrics.remote_write.headers` | InlineTable | -- | HTTP headers of Prometheus remote-write carry. |
 | `tracing` | -- | -- | The tracing options. Only effect when compiled with `tokio-console` feature. |
 | `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
+| `memory` | -- | -- | The memory options. |
+| `memory.enable_heap_profiling` | Bool | `true` | Whether to enable heap profiling activation during startup.<br/>When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable<br/>is set to "prof:true,prof_active:false". The official image adds this env variable.<br/>Default is true. |
 
 
 ### Flownode
@@ -549,6 +581,16 @@
 | `node_id` | Integer | Unset | The flownode identifier and should be unique in the cluster. |
 | `flow` | -- | -- | flow engine options. |
 | `flow.num_workers` | Integer | `0` | The number of flow worker in flownode.<br/>Not setting(or set to 0) this value will use the number of CPU cores divided by 2. |
+| `flow.batching_mode` | -- | -- | -- |
+| `flow.batching_mode.query_timeout` | String | `600s` | The default batching engine query timeout is 10 minutes. |
+| `flow.batching_mode.slow_query_threshold` | String | `60s` | will output a warn log for any query that runs for more that this threshold |
+| `flow.batching_mode.experimental_min_refresh_duration` | String | `5s` | The minimum duration between two queries execution by batching mode task |
+| `flow.batching_mode.grpc_conn_timeout` | String | `5s` | The gRPC connection timeout |
+| `flow.batching_mode.experimental_grpc_max_retries` | Integer | `3` | The gRPC max retry number |
+| `flow.batching_mode.experimental_frontend_scan_timeout` | String | `30s` | Flow wait for available frontend timeout,<br/>if failed to find available frontend after frontend_scan_timeout elapsed, return error<br/>which prevent flownode from starting |
+| `flow.batching_mode.experimental_frontend_activity_timeout` | String | `60s` | Frontend activity timeout<br/>if frontend is down(not sending heartbeat) for more than frontend_activity_timeout,<br/>it will be removed from the list that flownode use to connect |
+| `flow.batching_mode.experimental_max_filter_num_per_query` | Integer | `20` | Maximum number of filters allowed in a single query |
+| `flow.batching_mode.experimental_time_window_merge_threshold` | Integer | `3` | Time window merge distance |
 | `grpc` | -- | -- | The gRPC server options. |
 | `grpc.bind_addr` | String | `127.0.0.1:6800` | The address to bind the gRPC server. |
 | `grpc.server_addr` | String | `127.0.0.1:6800` | The address advertised to the metasrv,<br/>and used for connections from outside the host |
@@ -576,11 +618,16 @@
 | `logging.dir` | String | `./greptimedb_data/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
 | `logging.level` | String | Unset | The log level. Can be `info`/`debug`/`warn`/`error`. |
 | `logging.enable_otlp_tracing` | Bool | `false` | Enable OTLP tracing. |
-| `logging.otlp_endpoint` | String | `http://localhost:4317` | The OTLP tracing endpoint. |
+| `logging.otlp_endpoint` | String | `http://localhost:4318` | The OTLP tracing endpoint. |
 | `logging.append_stdout` | Bool | `true` | Whether to append logs to stdout. |
 | `logging.log_format` | String | `text` | The log format. Can be `text`/`json`. |
 | `logging.max_log_files` | Integer | `720` | The maximum amount of log files. |
+| `logging.otlp_export_protocol` | String | `http` | The OTLP tracing export protocol. Can be `grpc`/`http`. |
 | `logging.tracing_sample_ratio` | -- | -- | The percentage of tracing will be sampled and exported.<br/>Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.<br/>ratio > 1 are treated as 1. Fractions < 0 are treated as 0 |
 | `logging.tracing_sample_ratio.default_ratio` | Float | `1.0` | -- |
 | `tracing` | -- | -- | The tracing options. Only effect when compiled with `tokio-console` feature. |
 | `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
+| `query` | -- | -- | -- |
+| `query.parallelism` | Integer | `1` | Parallelism of the query engine for query sent by flownode.<br/>Default to 1, so it won't use too much cpu or memory |
+| `memory` | -- | -- | The memory options. |
+| `memory.enable_heap_profiling` | Bool | `true` | Whether to enable heap profiling activation during startup.<br/>When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable<br/>is set to "prof:true,prof_active:false". The official image adds this env variable.<br/>Default is true. |

config/datanode.example.toml

@@ -44,6 +44,13 @@ runtime_size = 8
 max_recv_message_size = "512MB"
 ## The maximum send message size for gRPC server.
 max_send_message_size = "512MB"
+## Compression mode for datanode side Arrow IPC service. Available options:
+## - `none`: disable all compression
+## - `transport`: only enable gRPC transport compression (zstd)
+## - `arrow_ipc`: only enable Arrow IPC compression (lz4)
+## - `all`: enable all compression.
+## Default to `none`
+flight_compression = "arrow_ipc"
 
 ## gRPC server TLS options, see `mysql.tls` section.
 [grpc.tls]
@@ -122,11 +129,11 @@ dir = "./greptimedb_data/wal"
 ## **It's only used when the provider is `raft_engine`**.
 file_size = "128MB"
 
-## The threshold of the WAL size to trigger a flush.
+## The threshold of the WAL size to trigger a purge.
 ## **It's only used when the provider is `raft_engine`**.
 purge_threshold = "1GB"
 
-## The interval to trigger a flush.
+## The interval to trigger a purge.
 ## **It's only used when the provider is `raft_engine`**.
 purge_interval = "1m"
 
@@ -252,7 +259,7 @@ parallelism = 0
 ## The data storage options.
 [storage]
 ## The working home directory.
-data_home = "./greptimedb_data/"
+data_home = "./greptimedb_data"
 
 ## The storage type used to store the data.
 ## - `File`: the data is stored in the local file system.
@@ -360,6 +367,10 @@ timeout = "30s"
 ## The timeout for idle sockets being kept-alive.
 pool_idle_timeout = "90s"
 
+## To skip the ssl verification
+## **Security Notice**: Setting `skip_ssl_validation = true` disables certificate verification, making connections vulnerable to man-in-the-middle attacks. Only use this in development or trusted private networks.
+skip_ssl_validation = false
+
 # Custom storage options
 # [[storage.providers]]
 # name = "S3"
@@ -463,6 +474,9 @@ sst_write_buffer_size = "8MB"
 ## Capacity of the channel to send data from parallel scan tasks to the main task.
 parallel_scan_channel_size = 32
 
+## Maximum number of SST files to scan concurrently.
+max_concurrent_scan_files = 128
+
 ## Whether to allow stale WAL entries read during replay.
 allow_stale_entries = false
 
@@ -618,7 +632,7 @@ level = "info"
 enable_otlp_tracing = false
 
 ## The OTLP tracing endpoint.
-otlp_endpoint = "http://localhost:4317"
+otlp_endpoint = "http://localhost:4318"
 
 ## Whether to append logs to stdout.
 append_stdout = true
@@ -629,30 +643,25 @@ log_format = "text"
 ## The maximum amount of log files.
 max_log_files = 720
 
+## The OTLP tracing export protocol. Can be `grpc`/`http`.
+otlp_export_protocol = "http"
+
 ## The percentage of tracing will be sampled and exported.
 ## Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.
 ## ratio > 1 are treated as 1. Fractions < 0 are treated as 0
 [logging.tracing_sample_ratio]
 default_ratio = 1.0
 
-## The datanode can export its metrics and send to Prometheus compatible service (e.g. send to `greptimedb` itself) from remote-write API.
+## The datanode can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.
 ## This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape.
 [export_metrics]
-
 ## whether enable export metrics.
 enable = false
-
 ## The interval of export metrics.
 write_interval = "30s"
 
-## For `standalone` mode, `self_import` is recommend to collect metrics generated by itself
-## You must create the database before enabling it.
-[export_metrics.self_import]
-## @toml2docs:none-default
-db = "greptime_metrics"
-
 [export_metrics.remote_write]
-## The url the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
+## The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
 url = ""
 
 ## HTTP headers of Prometheus remote-write carry.
@@ -663,3 +672,11 @@ headers = { }
 ## The tokio console address.
 ## @toml2docs:none-default
 #+ tokio_console_addr = "127.0.0.1"
+
+## The memory options.
+[memory]
+## Whether to enable heap profiling activation during startup.
+## When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable
+## is set to "prof:true,prof_active:false". The official image adds this env variable.
+## Default is true.
+enable_heap_profiling = true

config/flownode.example.toml

@@ -7,6 +7,29 @@ node_id = 14
 ## The number of flow worker in flownode.
 ## Not setting(or set to 0) this value will use the number of CPU cores divided by 2.
 #+num_workers=0
+[flow.batching_mode]
+## The default batching engine query timeout is 10 minutes.
+#+query_timeout="600s"
+## will output a warn log for any query that runs for more that this threshold
+#+slow_query_threshold="60s"
+## The minimum duration between two queries execution by batching mode task
+#+experimental_min_refresh_duration="5s"
+## The gRPC connection timeout
+#+grpc_conn_timeout="5s"
+## The gRPC max retry number
+#+experimental_grpc_max_retries=3
+## Flow wait for available frontend timeout,
+## if failed to find available frontend after frontend_scan_timeout elapsed, return error
+## which prevent flownode from starting
+#+experimental_frontend_scan_timeout="30s"
+## Frontend activity timeout
+## if frontend is down(not sending heartbeat) for more than frontend_activity_timeout,
+## it will be removed from the list that flownode use to connect
+#+experimental_frontend_activity_timeout="60s"
+## Maximum number of filters allowed in a single query
+#+experimental_max_filter_num_per_query=20
+## Time window merge distance
+#+experimental_time_window_merge_threshold=3
 
 ## The gRPC server options.
 [grpc]
@@ -83,7 +106,7 @@ level = "info"
 enable_otlp_tracing = false
 
 ## The OTLP tracing endpoint.
-otlp_endpoint = "http://localhost:4317"
+otlp_endpoint = "http://localhost:4318"
 
 ## Whether to append logs to stdout.
 append_stdout = true
@@ -94,6 +117,9 @@ log_format = "text"
 ## The maximum amount of log files.
 max_log_files = 720
 
+## The OTLP tracing export protocol. Can be `grpc`/`http`.
+otlp_export_protocol = "http"
+
 ## The percentage of tracing will be sampled and exported.
 ## Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.
 ## ratio > 1 are treated as 1. Fractions < 0 are treated as 0
@@ -105,3 +131,16 @@ default_ratio = 1.0
 ## The tokio console address.
 ## @toml2docs:none-default
 #+ tokio_console_addr = "127.0.0.1"
+
+[query]
+## Parallelism of the query engine for query sent by flownode.
+## Default to 1, so it won't use too much cpu or memory
+parallelism = 1
+
+## The memory options.
+[memory]
+## Whether to enable heap profiling activation during startup.
+## When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable
+## is set to "prof:true,prof_active:false". The official image adds this env variable.
+## Default is true.
+enable_heap_profiling = true

config/frontend.example.toml

@@ -37,6 +37,12 @@ enable_cors = true
 ## Customize allowed origins for HTTP CORS.
 ## @toml2docs:none-default
 cors_allowed_origins = ["https://example.com"]
+## Whether to enable validation for Prometheus remote write requests.
+## Available options:
+## - strict: deny invalid UTF-8 strings (default).
+## - lossy: allow invalid UTF-8 strings, replace invalid characters with REPLACEMENT_CHARACTER(U+FFFD).
+## - unchecked: do not valid strings.
+prom_validation_mode = "strict"
 
 ## The gRPC server options.
 [grpc]
@@ -48,6 +54,13 @@ bind_addr = "127.0.0.1:4001"
 server_addr = "127.0.0.1:4001"
 ## The number of server worker threads.
 runtime_size = 8
+## Compression mode for frontend side Arrow IPC service. Available options:
+## - `none`: disable all compression
+## - `transport`: only enable gRPC transport compression (zstd)
+## - `arrow_ipc`: only enable Arrow IPC compression (lz4)
+## - `all`: enable all compression.
+## Default to `none`
+flight_compression = "arrow_ipc"
 
 ## gRPC server TLS options, see `mysql.tls` section.
 [grpc.tls]
@@ -184,6 +197,9 @@ metadata_cache_tti = "5m"
 ## Parallelism of the query engine.
 ## Default to 0, which means the number of CPU cores.
 parallelism = 0
+## Whether to allow query fallback when push down optimize fails.
+## Default to false, meaning when push down optimize failed, return error msg
+allow_query_fallback = false
 
 ## Datanode options.
 [datanode]
@@ -205,7 +221,7 @@ level = "info"
 enable_otlp_tracing = false
 
 ## The OTLP tracing endpoint.
-otlp_endpoint = "http://localhost:4317"
+otlp_endpoint = "http://localhost:4318"
 
 ## Whether to append logs to stdout.
 append_stdout = true
@@ -216,6 +232,9 @@ log_format = "text"
 ## The maximum amount of log files.
 max_log_files = 720
 
+## The OTLP tracing export protocol. Can be `grpc`/`http`.
+otlp_export_protocol = "http"
+
 ## The percentage of tracing will be sampled and exported.
 ## Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.
 ## ratio > 1 are treated as 1. Fractions < 0 are treated as 0
@@ -241,24 +260,16 @@ sample_ratio = 1.0
 ## The TTL of the `slow_queries` system table. Default is `30d` when `record_type` is `system_table`.
 ttl = "30d"
 
-## The datanode can export its metrics and send to Prometheus compatible service (e.g. send to `greptimedb` itself) from remote-write API.
+## The frontend can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.
 ## This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape.
 [export_metrics]
-
 ## whether enable export metrics.
 enable = false
-
 ## The interval of export metrics.
 write_interval = "30s"
 
-## For `standalone` mode, `self_import` is recommend to collect metrics generated by itself
-## You must create the database before enabling it.
-[export_metrics.self_import]
-## @toml2docs:none-default
-db = "greptime_metrics"
-
 [export_metrics.remote_write]
-## The url the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
+## The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
 url = ""
 
 ## HTTP headers of Prometheus remote-write carry.
@@ -269,3 +280,11 @@ headers = { }
 ## The tokio console address.
 ## @toml2docs:none-default
 #+ tokio_console_addr = "127.0.0.1"
+
+## The memory options.
+[memory]
+## Whether to enable heap profiling activation during startup.
+## When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable
+## is set to "prof:true,prof_active:false". The official image adds this env variable.
+## Default is true.
+enable_heap_profiling = true

config/metasrv.example.toml

@@ -1,13 +1,5 @@
 ## The working home directory.
-data_home = "./greptimedb_data/metasrv/"
-
-## The bind address of metasrv.
-bind_addr = "127.0.0.1:3002"
-
-## The communication server address for the frontend and datanode to connect to metasrv.
-## If left empty or unset, the server will automatically use the IP address of the first network interface
-## on the host, with the same port number as the one specified in `bind_addr`.
-server_addr = "127.0.0.1:3002"
+data_home = "./greptimedb_data"
 
 ## Store server address default to etcd store.
 ## For postgres store, the format is:
@@ -24,6 +16,7 @@ store_key_prefix = ""
 ## - `etcd_store` (default value)
 ## - `memory_store`
 ## - `postgres_store`
+## - `mysql_store`
 backend = "etcd_store"
 
 ## Table name in RDS to store metadata. Effect when using a RDS kvbackend.
@@ -50,6 +43,11 @@ use_memory_store = false
 ## - Using shared storage (e.g., s3).
 enable_region_failover = false
 
+## The delay before starting region failure detection.
+## This delay helps prevent Metasrv from triggering unnecessary region failovers before all Datanodes are fully started.
+## Especially useful when the cluster is not deployed with GreptimeDB Operator and maintenance mode is not enabled.
+region_failure_detector_initialization_delay = '10m'
+
 ## Whether to allow region failover on local WAL.
 ## **This option is not recommended to be set to true, because it may lead to data loss during failover.**
 allow_region_failover_on_local_wal = false
@@ -67,6 +65,60 @@ node_max_idle_time = "24hours"
 ## The number of threads to execute the runtime for global write operations.
 #+ compact_rt_size = 4
 
+## TLS configuration for kv store backend (only applicable for PostgreSQL/MySQL backends)
+## When using PostgreSQL or MySQL as metadata store, you can configure TLS here
+[backend_tls]
+## TLS mode, refer to https://www.postgresql.org/docs/current/libpq-ssl.html
+## - "disable" - No TLS
+## - "prefer" (default) - Try TLS, fallback to plain
+## - "require" - Require TLS
+## - "verify_ca" - Require TLS and verify CA
+## - "verify_full" - Require TLS and verify hostname
+mode = "prefer"
+
+## Path to client certificate file (for client authentication)
+## Like "/path/to/client.crt"
+cert_path = ""
+
+## Path to client private key file (for client authentication)
+## Like "/path/to/client.key"
+key_path = ""
+
+## Path to CA certificate file (for server certificate verification)
+## Required when using custom CAs or self-signed certificates
+## Leave empty to use system root certificates only
+## Like "/path/to/ca.crt"
+ca_cert_path = ""
+
+## Watch for certificate file changes and auto reload
+watch = false
+
+## The gRPC server options.
+[grpc]
+## The address to bind the gRPC server.
+bind_addr = "127.0.0.1:3002"
+## The communication server address for the frontend and datanode to connect to metasrv.
+## If left empty or unset, the server will automatically use the IP address of the first network interface
+## on the host, with the same port number as the one specified in `bind_addr`.
+server_addr = "127.0.0.1:3002"
+## The number of server worker threads.
+runtime_size = 8
+## The maximum receive message size for gRPC server.
+max_recv_message_size = "512MB"
+## The maximum send message size for gRPC server.
+max_send_message_size = "512MB"
+
+## The HTTP server options.
+[http]
+## The address to bind the HTTP server.
+addr = "127.0.0.1:4000"
+## HTTP request timeout. Set to 0 to disable timeout.
+timeout = "0s"
+## HTTP request body limit.
+## The following units are supported: `B`, `KB`, `KiB`, `MB`, `MiB`, `GB`, `GiB`, `TB`, `TiB`, `PB`, `PiB`.
+## Set to 0 to disable limit.
+body_limit = "64MB"
+
 ## Procedure storage options.
 [procedure]
 
@@ -188,6 +240,11 @@ create_topic_timeout = "30s"
 # client_cert_path = "/path/to/client_cert"
 # client_key_path = "/path/to/key"
 
+## Configuration options for the event recorder.
+[event_recorder]
+## TTL for the events table that will be used to store the events.
+ttl = "30d"
+
 ## The logging options.
 [logging]
 ## The directory to store the log files. If set to empty, logs will not be written to files.
@@ -201,7 +258,7 @@ level = "info"
 enable_otlp_tracing = false
 
 ## The OTLP tracing endpoint.
-otlp_endpoint = "http://localhost:4317"
+otlp_endpoint = "http://localhost:4318"
 
 ## Whether to append logs to stdout.
 append_stdout = true
@@ -212,30 +269,25 @@ log_format = "text"
 ## The maximum amount of log files.
 max_log_files = 720
 
+## The OTLP tracing export protocol. Can be `grpc`/`http`.
+otlp_export_protocol = "http"
+
 ## The percentage of tracing will be sampled and exported.
 ## Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.
 ## ratio > 1 are treated as 1. Fractions < 0 are treated as 0
 [logging.tracing_sample_ratio]
 default_ratio = 1.0
 
-## The datanode can export its metrics and send to Prometheus compatible service (e.g. send to `greptimedb` itself) from remote-write API.
+## The metasrv can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.
 ## This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape.
 [export_metrics]
-
 ## whether enable export metrics.
 enable = false
-
 ## The interval of export metrics.
 write_interval = "30s"
 
-## For `standalone` mode, `self_import` is recommend to collect metrics generated by itself
-## You must create the database before enabling it.
-[export_metrics.self_import]
-## @toml2docs:none-default
-db = "greptime_metrics"
-
 [export_metrics.remote_write]
-## The url the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
+## The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
 url = ""
 
 ## HTTP headers of Prometheus remote-write carry.
@@ -246,3 +298,11 @@ headers = { }
 ## The tokio console address.
 ## @toml2docs:none-default
 #+ tokio_console_addr = "127.0.0.1"
+
+## The memory options.
+[memory]
+## Whether to enable heap profiling activation during startup.
+## When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable
+## is set to "prof:true,prof_active:false". The official image adds this env variable.
+## Default is true.
+enable_heap_profiling = true

config/standalone.example.toml

@@ -43,6 +43,13 @@ enable_cors = true
 ## @toml2docs:none-default
 cors_allowed_origins = ["https://example.com"]
 
+## Whether to enable validation for Prometheus remote write requests.
+## Available options:
+## - strict: deny invalid UTF-8 strings (default).
+## - lossy: allow invalid UTF-8 strings, replace invalid characters with REPLACEMENT_CHARACTER(U+FFFD).
+## - unchecked: do not valid strings.
+prom_validation_mode = "strict"
+
 ## The gRPC server options.
 [grpc]
 ## The address to bind the gRPC server.
@@ -343,7 +350,7 @@ parallelism = 0
 ## The data storage options.
 [storage]
 ## The working home directory.
-data_home = "./greptimedb_data/"
+data_home = "./greptimedb_data"
 
 ## The storage type used to store the data.
 ## - `File`: the data is stored in the local file system.
@@ -451,6 +458,10 @@ timeout = "30s"
 ## The timeout for idle sockets being kept-alive.
 pool_idle_timeout = "90s"
 
+## To skip the ssl verification
+## **Security Notice**: Setting `skip_ssl_validation = true` disables certificate verification, making connections vulnerable to man-in-the-middle attacks. Only use this in development or trusted private networks.
+skip_ssl_validation = false
+
 # Custom storage options
 # [[storage.providers]]
 # name = "S3"
@@ -554,6 +565,9 @@ sst_write_buffer_size = "8MB"
 ## Capacity of the channel to send data from parallel scan tasks to the main task.
 parallel_scan_channel_size = 32
 
+## Maximum number of SST files to scan concurrently.
+max_concurrent_scan_files = 128
+
 ## Whether to allow stale WAL entries read during replay.
 allow_stale_entries = false
 
@@ -709,7 +723,7 @@ level = "info"
 enable_otlp_tracing = false
 
 ## The OTLP tracing endpoint.
-otlp_endpoint = "http://localhost:4317"
+otlp_endpoint = "http://localhost:4318"
 
 ## Whether to append logs to stdout.
 append_stdout = true
@@ -720,6 +734,9 @@ log_format = "text"
 ## The maximum amount of log files.
 max_log_files = 720
 
+## The OTLP tracing export protocol. Can be `grpc`/`http`.
+otlp_export_protocol = "http"
+
 ## The percentage of tracing will be sampled and exported.
 ## Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.
 ## ratio > 1 are treated as 1. Fractions < 0 are treated as 0
@@ -743,13 +760,11 @@ default_ratio = 1.0
 ## @toml2docs:none-default
 #+ sample_ratio = 1.0
 
-## The datanode can export its metrics and send to Prometheus compatible service (e.g. send to `greptimedb` itself) from remote-write API.
+## The standalone can export its metrics and send to Prometheus compatible service (e.g. `greptimedb`) from remote-write API.
 ## This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape.
 [export_metrics]
-
 ## whether enable export metrics.
 enable = false
-
 ## The interval of export metrics.
 write_interval = "30s"
 
@@ -760,7 +775,7 @@ write_interval = "30s"
 db = "greptime_metrics"
 
 [export_metrics.remote_write]
-## The url the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
+## The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
 url = ""
 
 ## HTTP headers of Prometheus remote-write carry.
@@ -771,3 +786,11 @@ headers = { }
 ## The tokio console address.
 ## @toml2docs:none-default
 #+ tokio_console_addr = "127.0.0.1"
+
+## The memory options.
+[memory]
+## Whether to enable heap profiling activation during startup.
+## When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable
+## is set to "prof:true,prof_active:false". The official image adds this env variable.
+## Default is true.
+enable_heap_profiling = true

cyborg/bin/bump-doc-version.ts

@@ -1,75 +0,0 @@
-/*
- * Copyright 2023 Greptime Team
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-import * as core from "@actions/core";
-import {obtainClient} from "@/common";
-
-async function triggerWorkflow(workflowId: string, version: string) {
-  const docsClient = obtainClient("DOCS_REPO_TOKEN")
-  try {
-    await docsClient.rest.actions.createWorkflowDispatch({
-      owner: "GreptimeTeam",
-      repo: "docs",
-      workflow_id: workflowId,
-      ref: "main",
-      inputs: {
-        version,
-      },
-    });
-    console.log(`Successfully triggered ${workflowId} workflow with version ${version}`);
-  } catch (error) {
-    core.setFailed(`Failed to trigger workflow: ${error.message}`);
-  }
-}
-
-function determineWorkflow(version: string): [string, string] {
-  // Check if it's a nightly version
-  if (version.includes('nightly')) {
-    return ['bump-nightly-version.yml', version];
-  }
-
-  const parts = version.split('.');
-
-  if (parts.length !== 3) {
-    throw new Error('Invalid version format');
-  }
-
-  // If patch version (last number) is 0, it's a major version
-  // Return only major.minor version
-  if (parts[2] === '0') {
-    return ['bump-version.yml', `${parts[0]}.${parts[1]}`];
-  }
-
-  // Otherwise it's a patch version, use full version
-  return ['bump-patch-version.yml', version];
-}
-
-const version = process.env.VERSION;
-if (!version) {
-  core.setFailed("VERSION environment variable is required");
-  process.exit(1);
-}
-
-// Remove 'v' prefix if exists
-const cleanVersion = version.startsWith('v') ? version.slice(1) : version;
-
-try {
-  const [workflowId, apiVersion] = determineWorkflow(cleanVersion);
-  triggerWorkflow(workflowId, apiVersion);
-} catch (error) {
-  core.setFailed(`Error processing version: ${error.message}`);
-  process.exit(1);
-}

cyborg/bin/bump-versions.ts

@@ -0,0 +1,156 @@
+/*
+ * Copyright 2023 Greptime Team
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ *     http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
+
+import * as core from "@actions/core";
+import {obtainClient} from "@/common";
+
+interface RepoConfig {
+  tokenEnv: string;
+  repo: string;
+  workflowLogic: (version: string) => [string, string] | null;
+}
+
+const REPO_CONFIGS: Record<string, RepoConfig> = {
+  website: {
+    tokenEnv: "WEBSITE_REPO_TOKEN",
+    repo: "website",
+    workflowLogic: (version: string) => {
+      // Skip nightly versions for website
+      if (version.includes('nightly')) {
+        console.log('Nightly version detected for website, skipping workflow trigger.');
+        return null;
+      }
+      return ['bump-patch-version.yml', version];
+    }
+  },
+  demo: {
+    tokenEnv: "DEMO_REPO_TOKEN",
+    repo: "demo-scene",
+    workflowLogic: (version: string) => {
+      // Skip nightly versions for demo
+      if (version.includes('nightly')) {
+        console.log('Nightly version detected for demo, skipping workflow trigger.');
+        return null;
+      }
+      return ['bump-patch-version.yml', version];
+    }
+  },
+  docs: {
+    tokenEnv: "DOCS_REPO_TOKEN",
+    repo: "docs",
+    workflowLogic: (version: string) => {
+      // Check if it's a nightly version
+      if (version.includes('nightly')) {
+        return ['bump-nightly-version.yml', version];
+      }
+
+      const parts = version.split('.');
+      if (parts.length !== 3) {
+        throw new Error('Invalid version format');
+      }
+
+      // If patch version (last number) is 0, it's a major version
+      // Return only major.minor version
+      if (parts[2] === '0') {
+        return ['bump-version.yml', `${parts[0]}.${parts[1]}`];
+      }
+
+      // Otherwise it's a patch version, use full version
+      return ['bump-patch-version.yml', version];
+    }
+  }
+};
+
+async function triggerWorkflow(repoConfig: RepoConfig, workflowId: string, version: string) {
+  const client = obtainClient(repoConfig.tokenEnv);
+  try {
+    await client.rest.actions.createWorkflowDispatch({
+      owner: "GreptimeTeam",
+      repo: repoConfig.repo,
+      workflow_id: workflowId,
+      ref: "main",
+      inputs: {
+        version,
+      },
+    });
+    console.log(`Successfully triggered ${workflowId} workflow for ${repoConfig.repo} with version ${version}`);
+  } catch (error) {
+    core.setFailed(`Failed to trigger workflow for ${repoConfig.repo}: ${error.message}`);
+    throw error;
+  }
+}
+
+async function processRepo(repoName: string, version: string) {
+  const repoConfig = REPO_CONFIGS[repoName];
+  if (!repoConfig) {
+    throw new Error(`Unknown repository: ${repoName}`);
+  }
+
+  try {
+    const workflowResult = repoConfig.workflowLogic(version);
+    if (workflowResult === null) {
+      // Skip this repo (e.g., nightly version for website)
+      return;
+    }
+
+    const [workflowId, apiVersion] = workflowResult;
+    await triggerWorkflow(repoConfig, workflowId, apiVersion);
+  } catch (error) {
+    core.setFailed(`Error processing ${repoName} with version ${version}: ${error.message}`);
+    throw error;
+  }
+}
+
+async function main() {
+  const version = process.env.VERSION;
+  if (!version) {
+    core.setFailed("VERSION environment variable is required");
+    process.exit(1);
+  }
+
+  // Remove 'v' prefix if exists
+  const cleanVersion = version.startsWith('v') ? version.slice(1) : version;
+
+  // Get target repositories from environment variable
+  // Default to both if not specified
+  const targetRepos = process.env.TARGET_REPOS?.split(',').map(repo => repo.trim()) || ['website', 'docs'];
+
+  console.log(`Processing version ${cleanVersion} for repositories: ${targetRepos.join(', ')}`);
+
+  const errors: string[] = [];
+
+  // Process each repository
+  for (const repo of targetRepos) {
+    try {
+      await processRepo(repo, cleanVersion);
+    } catch (error) {
+      errors.push(`${repo}: ${error.message}`);
+    }
+  }
+
+  if (errors.length > 0) {
+    core.setFailed(`Failed to process some repositories: ${errors.join('; ')}`);
+    process.exit(1);
+  }
+
+  console.log('All repositories processed successfully');
+}
+
+// Execute main function
+main().catch((error) => {
+  core.setFailed(`Unexpected error: ${error.message}`);
+  process.exit(1);
+});

cyborg/bin/bump-website-version.ts

@@ -1,57 +0,0 @@
-/*
- * Copyright 2023 Greptime Team
- *
- * Licensed under the Apache License, Version 2.0 (the "License");
- * you may not use this file except in compliance with the License.
- * You may obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- * See the License for the specific language governing permissions and
- * limitations under the License.
- */
-
-import * as core from "@actions/core";
-import {obtainClient} from "@/common";
-
-async function triggerWorkflow(workflowId: string, version: string) {
-  const websiteClient = obtainClient("WEBSITE_REPO_TOKEN")
-  try {
-    await websiteClient.rest.actions.createWorkflowDispatch({
-      owner: "GreptimeTeam",
-      repo: "website",
-      workflow_id: workflowId,
-      ref: "main",
-      inputs: {
-        version,
-      },
-    });
-    console.log(`Successfully triggered ${workflowId} workflow with version ${version}`);
-  } catch (error) {
-    core.setFailed(`Failed to trigger workflow: ${error.message}`);
-  }
-}
-
-const version = process.env.VERSION;
-if (!version) {
-  core.setFailed("VERSION environment variable is required");
-  process.exit(1);
-}
-
-// Remove 'v' prefix if exists
-const cleanVersion = version.startsWith('v') ? version.slice(1) : version;
-
-if (cleanVersion.includes('nightly')) {
-  console.log('Nightly version detected, skipping workflow trigger.');
-  process.exit(0);
-}
-
-try {
-  triggerWorkflow('bump-patch-version.yml', cleanVersion);
-} catch (error) {
-  core.setFailed(`Error processing version: ${error.message}`);
-  process.exit(1);
-}

cyborg/bin/follow-up-docs-issue.ts

@@ -55,12 +55,25 @@ async function main() {
         await client.rest.issues.addLabels({
             owner, repo, issue_number: number, labels: [labelDocsRequired],
         })
+
+        // Get available assignees for the docs repo
+        const assigneesResponse = await docsClient.rest.issues.listAssignees({
+            owner: 'GreptimeTeam',
+            repo: 'docs',
+        })
+        const validAssignees = assigneesResponse.data.map(assignee => assignee.login)
+        core.info(`Available assignees: ${validAssignees.join(', ')}`)
+
+        // Check if the actor is a valid assignee, otherwise fallback to fengjiachun
+        const assignee = validAssignees.includes(actor) ? actor : 'fengjiachun'
+        core.info(`Assigning issue to: ${assignee}`)
+
         await docsClient.rest.issues.create({
             owner: 'GreptimeTeam',
             repo: 'docs',
             title: `Update docs for ${title}`,
             body: `A document change request is generated from ${html_url}`,
-            assignee: actor,
+            assignee: assignee,
         }).then((res) => {
             core.info(`Created issue ${res.data}`)
         })

docker/buildx/centos/Dockerfile

@@ -47,4 +47,6 @@ WORKDIR /greptime
 COPY --from=builder /out/target/${OUTPUT_DIR}/greptime /greptime/bin/
 ENV PATH /greptime/bin/:$PATH
 
+ENV MALLOC_CONF="prof:true,prof_active:false"
+
 ENTRYPOINT ["greptime"]

docker/buildx/ubuntu/Dockerfile

@@ -47,4 +47,6 @@ WORKDIR /greptime
 COPY --from=builder /out/target/${OUTPUT_DIR}/greptime /greptime/bin/
 ENV PATH /greptime/bin/:$PATH
 
+ENV MALLOC_CONF="prof:true,prof_active:false"
+
 ENTRYPOINT ["greptime"]

docker/ci/centos/Dockerfile

@@ -15,4 +15,6 @@ ADD $TARGETARCH/greptime /greptime/bin/
 
 ENV PATH /greptime/bin/:$PATH
 
+ENV MALLOC_CONF="prof:true,prof_active:false"
+
 ENTRYPOINT ["greptime"]

docker/ci/ubuntu/Dockerfile

@@ -18,4 +18,6 @@ ENV PATH /greptime/bin/:$PATH
 
 ENV TARGET_BIN=$TARGET_BIN
 
+ENV MALLOC_CONF="prof:true,prof_active:false"
+
 ENTRYPOINT ["sh", "-c", "exec $TARGET_BIN \"$@\"", "--"]

docs/benchmarks/log/README.md

@@ -48,4 +48,4 @@ Please refer to [SQL query](./query.sql) for GreptimeDB and Clickhouse, and [que
 
 ## Addition
 - You can tune GreptimeDB's configuration to get better performance.
-- You can setup GreptimeDB to use S3 as storage, see [here](https://docs.greptime.com/user-guide/deployments/configuration#storage-options).
+- You can setup GreptimeDB to use S3 as storage, see [here](https://docs.greptime.com/user-guide/deployments-administration/configuration#storage-options).

docs/how-to/how-to-profile-memory.md

@@ -1,6 +1,6 @@
 # Profile memory usage of GreptimeDB
 
-This crate provides an easy approach to dump memory profiling info. A set of ready to use scripts is provided in [docs/how-to/memory-profile-scripts](docs/how-to/memory-profile-scripts).
+This crate provides an easy approach to dump memory profiling info. A set of ready to use scripts is provided in [docs/how-to/memory-profile-scripts](./memory-profile-scripts/scripts).
 
 ## Prerequisites
 ### jemalloc
@@ -30,6 +30,23 @@ curl https://raw.githubusercontent.com/brendangregg/FlameGraph/master/flamegraph
 
 ## Profiling
 
+### Configuration
+
+You can control heap profiling activation through configuration. Add the following to your configuration file:
+
+```toml
+[memory]
+# Whether to enable heap profiling activation during startup.
+# When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable
+# is set to "prof:true,prof_active:false". The official image adds this env variable.
+# Default is true.
+enable_heap_profiling = true
+```
+
+By default, if you set `MALLOC_CONF=prof:true,prof_active:false`, the database will enable profiling during startup. You can disable this behavior by setting `enable_heap_profiling = false` in the configuration.
+
+### Starting with environment variables
+
 Start GreptimeDB instance with environment variables:
 
 ```bash
@@ -40,6 +57,23 @@ MALLOC_CONF=prof:true ./target/debug/greptime standalone start
 _RJEM_MALLOC_CONF=prof:true ./target/debug/greptime standalone start
 ```
 
+### Memory profiling control
+
+You can control heap profiling activation using the new HTTP APIs:
+
+```bash
+# Check current profiling status
+curl -X GET localhost:4000/debug/prof/mem/status
+
+# Activate heap profiling (if not already active)
+curl -X POST localhost:4000/debug/prof/mem/activate
+
+# Deactivate heap profiling
+curl -X POST localhost:4000/debug/prof/mem/deactivate
+```
+
+### Dump memory profiling data
+
 Dump memory profiling data through HTTP API:
 
 ```bash

docs/how-to/how-to-write-aggregate-function.md

@@ -1,4 +1,4 @@
-Currently, our query engine is based on DataFusion, so all aggregate function is executed by DataFusion, through its UDAF interface. You can find DataFusion's UDAF example [here](https://github.com/apache/arrow-datafusion/blob/arrow2/datafusion-examples/examples/simple_udaf.rs). Basically, we provide the same way as DataFusion to write aggregate functions: both are centered in a struct called "Accumulator" to accumulates states along the way in aggregation.
+Currently, our query engine is based on DataFusion, so all aggregate function is executed by DataFusion, through its UDAF interface. You can find DataFusion's UDAF example [here](https://github.com/apache/datafusion/tree/main/datafusion-examples/examples/simple_udaf.rs). Basically, we provide the same way as DataFusion to write aggregate functions: both are centered in a struct called "Accumulator" to accumulates states along the way in aggregation.
 
 However, DataFusion's UDAF implementation has a huge restriction, that it requires user to provide a concrete "Accumulator". Take `Median` aggregate function for example, to aggregate a `u32` datatype column, you have to write a `MedianU32`, and use `SELECT MEDIANU32(x)` in SQL. `MedianU32` cannot be used to aggregate a `i32` datatype column. Or, there's another way: you can use a special type that can hold all kinds of data (like our `Value` enum or Arrow's `ScalarValue`), and `match` all the way up to do aggregate calculations. It might work, though rather tedious. (But I think it's DataFusion's preferred way to write UDAF.)
 

docs/rfcs/2023-02-01-table-compaction.md

@@ -76,7 +76,7 @@ pub trait CompactionStrategy {
 ```
 
 The most suitable compaction strategy for time-series scenario would be 
-a hybrid strategy that combines time window compaction with size-tired compaction, just like [Cassandra](https://cassandra.apache.org/doc/latest/cassandra/operating/compaction/twcs.html) and [ScyllaDB](https://docs.scylladb.com/stable/architecture/compaction/compaction-strategies.html#time-window-compaction-strategy-twcs) does.
+a hybrid strategy that combines time window compaction with size-tired compaction, just like [Cassandra](https://cassandra.apache.org/doc/latest/cassandra/managing/operating/compaction/twcs.html) and [ScyllaDB](https://docs.scylladb.com/stable/architecture/compaction/compaction-strategies.html#time-window-compaction-strategy-twcs) does.
 
 We can first group SSTs in level n into buckets according to some predefined time window. Within that window, 
 SSTs are compacted in a size-tired manner (find SSTs with similar size and compact them to level n+1). 

docs/rfcs/2024-01-17-dataflow-framework.md

@@ -28,7 +28,7 @@ In order to do those things while maintaining a low memory footprint, you need t
 - Greptime Flow's is built on top of [Hydroflow](https://github.com/hydro-project/hydroflow).
 - We have three choices for the Dataflow/Streaming process framework for our simple continuous aggregation feature:
 1. Based on the timely/differential dataflow crate that [materialize](https://github.com/MaterializeInc/materialize) based on. Later, it's proved too obscure for a simple usage, and is hard to customize memory usage control.
-2. Based on a simple dataflow framework that we write from ground up, like what [arroyo](https://www.arroyo.dev/) or [risingwave](https://www.risingwave.dev/) did, for example the core streaming logic of [arroyo](https://github.com/ArroyoSystems/arroyo/blob/master/arroyo-datastream/src/lib.rs) only takes up to 2000 line of codes. However, it means maintaining another layer of dataflow framework, which might seem easy in the beginning, but I fear it might be too burdensome to maintain once we need more features.
+2. Based on a simple dataflow framework that we write from ground up, like what [arroyo](https://www.arroyo.dev/) or [risingwave](https://www.risingwave.dev/) did, for example the core streaming logic of [arroyo](https://github.com/ArroyoSystems/arroyo/blob/master/crates/arroyo-datastream/src/lib.rs) only takes up to 2000 line of codes. However, it means maintaining another layer of dataflow framework, which might seem easy in the beginning, but I fear it might be too burdensome to maintain once we need more features.
 3. Based on a simple and lower level dataflow framework that someone else write, like [hydroflow](https://github.com/hydro-project/hydroflow), this approach combines the best of both worlds. Firstly, it boasts ease of comprehension and customization. Secondly, the dataflow framework offers precisely the necessary features for crafting uncomplicated single-node dataflow programs while delivering decent performance.
 
 Hence, we choose the third option, and use a simple logical plan that's anagonistic to the underlying dataflow framework, as it only describe how the dataflow graph should be doing, not how it do that. And we built operator in hydroflow to execute the plan. And the result hydroflow graph is wrapped in a engine that only support data in/out and tick event to flush and compute the result. This provide a thin middle layer that's easy to maintain and allow switching to other dataflow framework if necessary.

docs/rfcs/2025-06-20-repartition.md

@@ -0,0 +1,154 @@
+---
+Feature Name: Repartition
+Tracking Issue: https://github.com/GreptimeTeam/greptimedb/issues/6558
+Date: 2025-06-20
+Author: "Ruihang Xia <waynestxia@gmail.com>"
+---
+
+# Summary
+
+This RFC proposes a method for repartitioning a table, to adjust the partition rule and data distribution.
+
+# Motivation
+
+With time passing, the data distribution and skew pattern of a table might change. We need a way to repartition the table to suit the new pattern.
+
+# Details
+
+Here is a rough workflow diagram of the entire repartition process, each step is described in detail below.
+
+```mermaid
+sequenceDiagram
+    participant Frontend
+    participant Metasrv
+    participant Datanodes
+    participant Region0 as Region 0
+    
+    Frontend->>Frontend: Process request, validation etc.
+    Frontend->>Metasrv: Submit procedure
+    Metasrv->>Metasrv: Compute diff and generate migration plan
+    Metasrv->>Metasrv: Allocate necessary region resources (with Paas)
+    Metasrv->>Datanodes: Stop compaction and snapshot
+    rect rgb(255, 225, 225)
+        note over Frontend, Region0: No Ingestion Period
+        Metasrv->>Frontend: Stop processing write requests
+        Metasrv->>Metasrv: Update metadata
+        Metasrv->>Frontend: Start processing read requests
+    end
+    Metasrv->>Datanodes: Update region rule, stage version changes from now on
+    Region0->>Region0: Compute new manifests for all regions
+    Region0->>Datanodes: Submit manifest changes
+    Metasrv->>Datanodes: Recover compaction and snapshot, make staged changes visible
+
+    note over Frontend, Datanodes: Reload Cache
+    Metasrv->>Metasrv: Release resources (with Paas)
+    Metasrv->>Metasrv: Schedule optional compaction (to remote compactor)
+```
+
+## Preprocessing
+
+This phase is for static analysis of the new partition rule. The server can know whether the repartitioning is possible, how to do the repartitioning, and how much resources are needed.
+
+In theory, the input and output partition rules for repartitioning can be completely unrelated. But in practice, to avoid a very large change set, we'll only allow two simple kinds of change. One splits one region into two regions (region split) and another merges two regions into one (region merge).
+
+After validating the new partition rule using the same validation logic as table creation, we compute the difference between the old and new partition rules. The resulting diff may contain several independent groups of changes. During subsequent processing, each group of changes can be handled independently and can succeed or fail without affecting other groups or creating non-idempotently retryable scenarios.
+
+Next, we generate a repartition plan for each group of changes. Each plan contains this information for all regions involved in that particular plan. And one target region will only be referenced by a single plan.
+
+With those plans, we can determine the resource requirements for the repartition operation, where resources here primarily refer to Regions. Metasrv will coordinate with PaaS layer to pre-allocate the necessary regions at this stage. These new regions start completely empty, and their metadata and manifests will be populated during subsequent modification steps.
+
+## Data Processing
+
+This phase is primarily for region's change, including region's metadata (route table and the corresponding rule) and manifest.
+
+Once we start processing one plan through a procedure, we'll first stop the region's compaction and snapshot. This is to avoid any states being removed due to compaction (which may removes old SST files) and snapshot (which may removes old manifest files).
+
+Metasrv will trying to update the metadata of partition, or the region route table (related to `PartitionRuleManager`). This step is in the "no ingestion" scope, so no new data will be ingested. Since this won't take much time, the affection to the cluster is minimized. Metasrv will also update the region rule to corresponding regions on Datanodes. 
+
+Every regions and all the ingestion requests to the region server will have a version of region rule, to identify under which rule the request is processed. The version can be something like `hash(region_rule)`. Once the region rule on region server is updated, all ingestion request with old rule will be rejected, and all requests with new rule will be accepted but not visible. They can still be flushed to persisted storage, but their version change (new manifest) will be staged.
+
+Then region 0 (or let metasrv to pick any operational region) will compute the new manifests for all target regions. This step is done by first reading all old manifests, and remapping the files with new partition rule, to get the content of new manifests. Notice this step only handles the manifests before region rule change on region server, and won't touch those staged manifests, as they are already with the new rule.
+
+Those new manifest will be submitted to the corresponding target regions by region 0 via a `RegionEdit` request. If this request falls after a few retries, region 0 will try to rollback this change by directly overwriting the manifest on object storage. and report this failure to metasrv and let the entire repartition procedure to fail. And we can also optionally compute the new manifest for those staged version changes (like another repartition) and submit them to the target regions to make the also visible even if the repartition fails.
+
+In the other hand, a successful `RegionEdit` request also acknowledges those staged version changes and make them visible.
+
+After this step, the repartition is done in the data plane. We can start to process compaction and snapshot again.
+
+## Postprocessing
+
+After the main processing is done, we can do some extra postprocessing to reduce the performance impact of repartition. Including reloading caches in frontend's route table, metasrv's kv cache and datanode's read/write/page cache etc.
+
+We can also schedule an optional compaction to reorganize all the data file under the new partition rule to reduce potential fragmentation or read amplification.
+
+## Procedure
+
+Here describe the repartition procedure step by step:
+
+- <on frontend> Validating repartition request
+- <on frontend> Initialize the repartition procedure
+- Calculate rule diff and repartition plan group
+- Allocate necessary new regions
+- Lock the table key
+- For each repartition subprocedure
+  - Stop compaction and snapshot
+  - Forbid new ingestion requests, update metadata, allow ingestion requests.
+  - Update region rule to regions
+  - Pick one region to calculate new manifest for all regions in this repartition group
+  - Let that region to apply new manifest to each region via `RegionEdit`
+  - If failed after some retries, revert this manifest change to other succeeded regions and mark this failure.
+  - If all succeeded, acknowledge those staged version changes and make them visible.
+  - Return result
+- Collect results from subprocedure.
+  - For those who failed, we need to restart those regions to force reconstruct their status from manifests
+  - For those who succeeded, collect and merge their rule diff
+- Unlock the table key
+- Report the result to user.
+- <in background> Reload cache
+- <in background> Maybe trigger a special compaction
+
+In addition of sequential step, rollback is also an important part of this procedure. There are three steps can be rolled back when unrecoverable failure occurs.
+
+If the metadata update is not committed, we can overwrite the metadata to previous version. This step is scoped in the "no ingestion" period, so no new data will be ingested and the status of both datanode and metasrv will be consistent.
+
+If the `RegionEdit` to other regions is not acknowledged, or partial acknowledged, we can directly overwrite the manifest on object storage from the central region (who computes the new manifest), and force region server to reload corresponding region to load its state from object storage to recover.
+
+If the staged version changes are not acknowledged, we can re-compute manifest based on old rule for staged data, and apply them directly like above. This is like another smaller repartition for those staged data.
+
+## Region rule validation and diff calculation
+
+In the current codebase, the rule checker is not complete. It can't check uniqueness and completeness of the rule. This RFC also propose a new way to validate the rule.
+
+The proposed validation way is based on a check-point system, which first generates a group of check-points from the rule, and then check if all the point is covered and only covered by one rule.
+
+All the partition rule expressionis limited to be the form of `<column> <operator> <value>`, and the operator is limited to be comparison operators. Those expressions are allowed to be nested with `AND` and `OR` operators. Based on this, we can first extract all the unique values on each column, adding and subtracting a little epsilon to cover its left and right boundary.
+
+Since we accept integer, float and string as the value type, compute on them directly is not convenient. So we'll first normalize them to a common type and only need to preserve the relative partial ordering. This also avoids the problem of "what is next/previous value" of string and "what's a good precision" for float.
+
+After normalization, we get a set of scatter points for each column. Then we can generate a set of check-points by combining all the scatter points like building a cartesian product. This might bring a large number of check-points, so we can do an prune optimization to remove some of them by merging some of the expression zones. Those expressions who have identical N-1 edge sub-expressions with one adjacent edge can be merged together. This prune check is with a time complexity of O(N * M * log(M)), where N is the number of active dimensions and M is the number of expression zones. Diff calculation is also done by finding different expression zones between the old and new rule set, and check if we can transform one to another by merging some of the expression zones.
+
+The step to validate the check-points set against expressions can be treated as a tiny expression of `PhysicalExpr`. This evaluation will give a boolean matrix of K*M shape, where K is the number of check-points. We then check in each row of the matrix, if there is one and only one true value.
+
+## Compute and use new manifest
+
+We can generate a new set of manifest file based on old manifest and two versions of rule. From abvoe rule processing part, we can tell how a new rule & region is from previous one. So a simple way to get the new manifest is also apply the step of change to manifest files. E.g., if region A is from region B and C, we simply combine all file IDs from B and C to generate the content of A.
+
+If necessary, we can do this better by involving some metadata related to data, like min-max statistics of each file, and pre-evaluate over min-max to filter out unneeded files when generating new manifest.
+
+The way to use new manifest needs one more extra step based on the current implementation. We'll need to record either in manifest or in file metadata, of what rule is used when generating (flush or compaction) a SST file. Then in every single read request, we need to append the current region rule as predicate to the read request, to ensure no data belong to other regions will be read. We can use the stored region rule to reduce the number of new predicates to apply, by removing the identical predicate between the current region rule and the stored region rule. So ideally in a table that has not been repartitioned recently, the overhead of checking region rule is minimal.
+
+## Pre-required tasks
+
+In above steps, we assume some functionalities are implemented. Here list them with where they are used and how to implement them.
+
+### Cross-region read
+
+The current data directory structure is `{table_id}/{region_id}/[data/metadata]/{file_id}`, every region can only access files under their own directory. After repartition, data file may be placed in other previous old regions. So we need to support cross-region read. This new access method allows region to access any file under the same table. Related tracking issue is <https://github.com/GreptimeTeam/greptimedb/issues/6409>.
+
+### Global GC worker
+
+This is to simplify state management of data files. As one file may be referenced in multiple manifests, or no manifest at all. After this, every region and the repartition process only need to care about generateing and using new files, without tracking whether a file should be deleted or not. Leaving the deletion to the global GC worker. This worker basically works by counting reference from manifest file, and remove unused one. Related tracking issue is **TBD**.
+
+# Alternatives
+
+In the "Data Processing" section, we can enlarge the "no ingestion" period to include almost all the steps. This can simplify the entire procedure by a lot, but will bring a longer time of ingestion pause which may not be acceptable.

docs/rfcs/2025-07-04-compatibility-test-framework.md

@@ -0,0 +1,151 @@
+---
+Feature Name: Compatibility Test Framework
+Tracking Issue: TBD
+Date: 2025-07-04
+Author: "Ruihang Xia <waynestxia@gmail.com>"
+---
+
+# Summary
+
+This RFC proposes a compatibility test framework for GreptimeDB to ensure backward/forward compatibility for different versions of GreptimeDB.
+
+# Motivation
+
+In current practice, we don't have a systematic way to test and ensure the compatibility of different versions of GreptimeDB. Each time we release a new version, we need to manually test the compatibility with ad-hoc cases. This is not only time-consuming, but also prone to errors and unmaintainable. Highly rely on the release manager to ensure the compatibility of different versions of GreptimeDB.
+
+We don't have a detailed guide on the release SoP of how to test and ensure the compatibility of the new version. And has broken the compatibility of the new version many times (`v0.14.1` and `v0.15.1` are two examples, which are both released right after the major release).
+
+# Details
+
+This RFC proposes a compatibility test framework that is easy to maintain, extend and run. It can tell the compatibility between any given two versions of GreptimeDB, both backward and forward. It's based on the Sqlness library but used in a different way.
+
+Generally speaking, the framework is composed of two parts:
+
+1. Test cases: A set of test cases that are maintained dedicatedly for the compatibility test. Still in the `.sql` and `.result` format.
+2. Test framework: A new sqlness runner that is used to run the test cases. With some new features that is not required by the integration sqlness test.
+
+## Test Cases
+
+### Structure
+
+The case set is organized in three parts:
+
+- `1.feature`: Use a new feature
+- `2.verify`: Verify database behavior
+- `3.cleanup`: Paired with `1.feature`, cleanup the test environment.
+
+These three parts are organized in a tree structure, and should be run in sequence:
+
+```
+compatibility_test/
+├── 1.feature/
+│   ├── feature-a/
+│   ├── feature-b/
+│   └── feature-c/
+├── 2.verify/
+│   ├── verify-metadata/
+│   ├── verify-data/
+│   └── verify-schema/
+└── 3.cleanup/
+    ├── cleanup-a/
+    ├── cleanup-b/
+    └── cleanup-c/
+```
+
+### Example
+
+For example, for a new feature like adding new index option ([#6416](https://github.com/GreptimeTeam/greptimedb/pull/6416)), we (who implement the feature) create a new test case like this:
+
+```sql
+-- path: compatibility_test/1.feature/index-option/granularity_and_false_positive_rate.sql
+
+-- SQLNESS ARG since=0.15.0
+-- SQLNESS IGNORE_RESULT
+CREATE TABLE granularity_and_false_positive_rate (ts timestamp time index, val double) with ("index.granularity" = "8192", "index.false_positive_rate" = "0.01");
+```
+
+And
+
+```sql
+-- path: compatibility_test/3.cleanup/index-option/granularity_and_false_positive_rate.sql
+drop table granularity_and_false_positive_rate;
+```
+
+Since this new feature don't require some special way to verify the database behavior, we can reuse existing test cases in `2.verify/` to verify the database behavior. For example, we can reuse the `verify-metadata` test case to verify the metadata of the table.
+
+```sql
+-- path: compatibility_test/2.verify/verify-metadata/show-create-table.sql
+
+-- SQLNESS TEMPLATE TABLE="SHOW TABLES";
+SHOW CREATE TABLE $TABLE;
+```
+
+In this example, we use some new sqlness features that will be introduced in the next section (`since`, `IGNORE_RESULT`, `TEMPLATE`).
+
+### Maintenance
+
+Each time implement a new feature that should be covered by the compatibility test, we should create a new test case in `1.feature/` and `3.cleanup/` for them. And check if existing cases in `2.verify/` can be reused to verify the database behavior.
+
+This simulates an enthusiastic user who uses all the new features at the first time. All the new Maintenance burden is on the feature implementer to write one more test case for the new feature, to "fixation" the behavior. And once there is a breaking change in the future, it can be detected by the compatibility test framework automatically.
+
+Another topic is about deprecation. If a feature is deprecated, we should also mark it in the test case. Still use above example, assume we deprecate the `index.granularity` and `index.false_positive_rate` index options in `v0.99.0`, we can mark them as:
+```sql
+-- SQLNESS ARG since=0.15.0 till=0.99.0
+...
+```
+
+This tells the framework to ignore this feature in version `v0.99.0` and later. Currently, we have so many experimental features that are scheduled to be broken in the future, this is a good way to mark them.
+
+## Test Framework
+
+This section is about new sqlness features required by this framework.
+
+### Since and Till
+
+Follows the `ARG` interceptor in sqlness, we can mark a feature is available between two given versions. Only the `since` is required:
+
+```sql
+-- SQLNESS ARG since=VERSION_STRING [till=VERSION_STRING]
+```
+
+### IGNORE_RESULT
+
+`IGNORE_RESULT` is a new interceptor, it tells the runner to ignore the result of the query, only check whether the query is executed successfully.
+
+This is useful to reduce the Maintenance burden of the test cases, unlike the integration sqlness test, in most cases we don't care about the result of the query, only need to make sure the query is executed successfully.
+
+### TEMPLATE
+
+`TEMPLATE` is another new interceptor, it can generate queries from a template based on a runtime data.
+
+In above example, we need to run the `SHOW CREATE TABLE` query for all existing tables, so we can use the `TEMPLATE` interceptor to generate the query with a dynamic table list.
+
+### RUNNER
+
+There are also some extra requirement for the runner itself:
+
+- It should run the test cases in sequence, first `1.feature/`, then `2.verify/`, and finally `3.cleanup/`.
+- It should be able to fetch required version automatically to finish the test.
+- It should handle the `since` and `till` properly.
+
+On the `1.feature` phase, the runner needs to identify all features need to be tested by version number. And then restart with a new version (the `to` version) to run `2.verify/` and `3.cleanup/` phase.
+
+## Test Report
+
+Finally, we can run the compatibility test to verify the compatibility between any given two versions of GreptimeDB, for example:
+
+```bash
+# check backward compatibility between v0.15.0 and v0.16.0 when releasing v0.16.0
+./sqlness run --from=0.15.0 --to=0.16.0
+
+# check forward compatibility when downgrading from v0.15.0 to v0.13.0
+./sqlness run --from=0.15.0 --to=0.13.0
+```
+
+We can also use a script to run the compatibility test for all the versions in a given range to give a quick report with all versions we need.
+
+And we always bump the version in `Cargo.toml` to the next major release version, so the next major release version can be used as "latest" unpublished version for scenarios like local testing.
+
+# Alternatives
+
+There was a previous attempt to implement a compatibility test framework that was disabled due to some reasons [#3728](https://github.com/GreptimeTeam/greptimedb/issues/3728).

docs/rfcs/2025-07-23-global-gc-worker.md

@@ -0,0 +1,157 @@
+---
+Feature Name: "global-gc-worker"
+Tracking Issue: https://github.com/GreptimeTeam/greptimedb/issues/6571
+Date: 2025-07-23
+Author: "discord9 <discord9@163.com>"
+---
+
+# Global GC Worker
+
+## Summary
+
+This RFC proposes the integration of a garbage collection (GC) mechanism within the Compaction process. This mechanism aims to manage and remove stale files that are no longer actively used by any system component, thereby reclaiming storage space.
+
+## Motivation
+
+With the introduction of features such as table repartitioning, a substantial number of Parquet files can become obsolete. Furthermore, failures during manifest updates may result in orphaned files that are never referenced by the system. Therefore, a periodic garbage collection mechanism is essential to reclaim storage space by systematically removing these unused files.
+
+## Details
+
+### Overview
+
+The garbage collection process will be integrated directly into the Compaction process. Upon the completion of a Compaction for a given region, the GC worker will be automatically triggered. Its primary function will be to identify and subsequently delete obsolete files that have persisted beyond their designated retention period. This integration ensures that garbage collection is performed in close conjunction with data lifecycle management, effectively leveraging the compaction process's inherent knowledge of file states.
+
+This design prioritizes correctness and safety by explicitly linking GC execution to a well-defined operational boundary: the successful completion of a compaction cycle.
+
+### Terminology
+
+- **Unused File**: Refers to a file present in the storage directory that has never been formally recorded in any manifest. A common scenario for this includes cases where a new SST file is successfully written to storage, but the subsequent update to the manifest fails, leaving the file unreferenced.
+- **Obsolete File**: Denotes a file that was previously recorded in a manifest but has since been explicitly marked for removal. This typically occurs following operations such as data repartitioning or compaction.
+
+### GC Worker Process
+
+The GC worker operates as an integral part of the Compaction process. Once a Compaction for a specific region is completed, the GC worker is automatically triggered. Executing this process on a `datanode` is preferred to eliminate the overhead associated with having to set object storage configurations in the `metasrv`.
+
+The detailed process is as follows:
+
+1.  **Invocation**: Upon the successful completion of a Compaction for a region, the GC worker is invoked.
+2.  **Manifest Reading**: The worker reads the region's primary manifest to obtain a comprehensive list of all files marked as obsolete. Concurrently, it reads any temporary manifests generated by long-running queries to identify files that are currently in active use, thereby preventing their premature deletion.
+3.  **Lingering Time Check (Obsolete Files)**: For each identified obsolete file, the GC worker evaluates its "lingering time." Which is the time passed after it had been removed from manifest.
+4.  **Deletion Marking (Obsolete Files)**: Files that have exceeded their maximum configurable lingering time and are not referenced by any active temporary manifests are marked for deletion.
+5.  **Lingering Time (Unused Files)**: Unused files (those never recorded in any manifest) are also subject to a configurable maximum lingering time before they are eligible for deletion.
+
+Following flowchart illustrates the GC worker's process:
+
+```mermaid
+flowchart TD
+    A[Compaction Completed] --> B[Trigger GC Worker]
+    B --> C[Scan Region Manifest]
+    C --> D[Identify File Types]
+    D --> E[Unused Files<br/>Never recorded in manifest]
+    D --> F[Obsolete Files<br/>Previously in manifest<br/>but marked for removal]
+    E --> G[Check Lingering Time]
+    F --> G
+    G --> H{File exceeds<br/>configured lingering time?}
+    H -->|No| I[Skip deletion]
+    H -->|Yes| J[Check Temporary Manifest]
+    J --> K{File in use by<br/>active queries?}
+    K -->|Yes| L[Retain file<br/>Wait for next GC cycle]
+    K -->|No| M[Safely delete file]
+    I --> N[End GC cycle]
+    L --> N
+    M --> O[Update Manifest]
+    O --> N
+    N --> P[Wait for next Compaction]
+    P --> A
+    style A fill:#e1f5fe
+    style B fill:#f3e5f5
+    style M fill:#e8f5e8
+    style L fill:#fff3e0
+```
+
+#### Handling Obsolete Files
+
+An obsolete file is permanently deleted only if two conditions are met:
+1. The time elapsed since its removal from the manifest (its obsolescence timestamp) exceeds a configurable threshold.
+2. It is not currently referenced by any active temporary manifests.
+
+
+#### Handling Unused Files
+
+With the integration of the GC worker into the Compaction process, the risk of accidentally deleting newly created SST files that have not yet been recorded in the manifest is significantly mitigated. Consequently, the concept of "Unused Files" as a distinct category primarily susceptible to accidental deletion is largely resolved. Any files that are genuinely "unused" (i.e., never referenced by any manifest, including temporary ones) can be safely deleted after a configurable maximum lingering time.
+
+For debugging and auditing purposes, a comprehensive list of recently deleted files can be maintained.
+
+### Ensuring Read Consistency
+
+To prevent the GC worker from inadvertently deleting files that are actively being utilized by long-running analytical queries, a robust protection mechanism is introduced. This mechanism relies on temporary manifests that are actively kept "alive" by the queries using them.
+
+When a long-running query is detected (e.g., by a slow query recorder), it will write a temporary manifest to the region's manifest directory. This manifest lists all files required for the query. However, simply creating this file is not enough, as a query runner might crash, leaving the temporary manifest orphaned and preventing garbage collection indefinitely.
+
+To address this, the following "heartbeat" mechanism is implemented:
+1.  **Periodic Updates**: The process executing the long-running query is responsible for periodically updating the modification timestamp of its temporary manifest file (i.e., "touching" the file). This serves as a heartbeat, signaling that the query is still active.
+2.  **GC Worker Verification**: When the GC worker runs, it scans for temporary manifests. For each one it finds, it checks the file's last modification time.
+3.  **Stale File Handling**: If a temporary manifest's last modification time is older than a configurable threshold, the GC worker considers it stale (left over from a crashed or terminated query). The GC worker will then delete this stale temporary manifest. Files that were protected only by this stale manifest are no longer shielded from garbage collection.
+
+This approach ensures that only files for genuinely active queries are protected. The lifecycle of the temporary manifest is managed dynamically: it is created when a long query starts, kept alive through periodic updates, and is either deleted by the query upon normal completion or automatically cleaned up by the GC worker if the query terminates unexpectedly.
+
+This mechanism may be too complex to implement at once. We can consider a two-phased approach:
+1.  **Phase 1 (Simple Time-Based Deletion)**: Initially, implement a simpler GC strategy that deletes obsolete files based solely on a configurable lingering time. This provides a baseline for space reclamation without the complexity of temporary manifests.
+2.  **Phase 2 (Consistency-Aware GC)**: Based on the practical effectiveness and observed issues from Phase 1, we can then decide whether to implement the full temporary manifest and heartbeat mechanism to handle long-running queries. This iterative approach allows for a quicker initial implementation while gathering real-world data to justify the need for a more complex solution.
+
+## Drawbacks
+
+- **Dependency on Compaction Frequency**: The integration of the GC worker with Compaction means that GC cycles are directly tied to the frequency of compactions. In environments with infrequent compaction operations, obsolete files may accumulate for extended periods before being reclaimed, potentially leading to increased storage consumption.
+- **Race Condition with Long-Running Queries**: A potential race condition exists if a long-running query initiates but haven't write its temporary manifest in time, while a compaction process simultaneously begins and marks files used by that query as obsolete. This scenario could lead to the premature deletion of files still required by the active query. To mitigate this, the threshold time for writing a temporary manifest should be significantly shorter than the lingering time configured for obsolete files, ensuring that next GC worker runs do not delete files that are now referenced by a temporary manifest if the query is still running.
+Also the read replica shouldn't be later in manifest version for more than the lingering time of obsolete files, otherwise it might ref to files that are already deleted by the GC worker.
+- need to upload tmp manifest to object storage, which may introduce additional complexity and potential performance overhead. But since long-running queries are typically not frequent, the performance impact is expected to be minimal.
+
+
+## Conclusion and Rationale
+
+This section summarizes the key aspects and trade-offs of the proposed integrated GC worker, highlighting its advantages and potential challenges.
+
+| Aspect | Current Proposal (Integrated GC) |
+| :--- | :--- |
+| **Implementation Complexity** | **Medium**. Requires careful integration with the compaction process and the slow query recorder for temporary manifest management. |
+| **Reliability** | **High**. Integration with compaction and leveraging temporary manifests from long-running queries significantly mitigates the risk of incorrect deletion. Accurate management of lingering times for obsolete files and prevention of accidental deletion of newly created SSTs enhance data safety. |
+| **Performance Overhead** | **Low to Medium**. The GC worker runs post-compaction, minimizing direct impact on write paths. Overhead from temporary manifest management by the slow query recorder is expected to be acceptable for long-running queries. |
+| **Impact on Other Components** | **Moderate**. Requires modifications to the compaction process to trigger GC and the slow query recorder to manage temporary manifests. This introduces some coupling but enhances overall data safety. |
+| **Deletion Strategy** | **State- and Time-Based**. Obsolete files are deleted based on a configurable lingering time, which is paused if the file is referenced by a temporary manifest. Unused files (never in a manifest) are also subject to a lingering time. |
+
+## Unresolved Questions and Future Work
+
+This section outlines key areas requiring further discussion and defines potential avenues for future development.
+
+*   **Slow Query Recorder Implementation**: Detailed specifications for modify slow query recorder's implementation and its precise interaction mechanisms with temporary manifests are needed.
+*   **Configurable Lingering Times**: Establish and make configurable the specific lingering times for both obsolete and unused files to optimize storage reclamation and data availability.
+
+## Alternatives
+
+### 1. Standalone GC Service
+
+Instead of integrating the GC worker directly into the Compaction process, a standalone GC service could be implemented. This service would operate independently, periodically scanning the storage for obsolete and unused files based on manifest information and predefined retention policies.
+
+**Pros:**
+*   **Decoupling**: Separates GC logic from compaction, allowing independent scaling and deployment.
+*   **Flexibility**: Can be configured to run at different frequencies and with different strategies than compaction.
+
+**Cons:**
+*   **Increased Complexity**: Requires a separate service to manage, monitor, and coordinate with other components.
+*   **Potential for Redundancy**: May duplicate some file scanning logic already present in compaction.
+*   **Consistency Challenges**: Ensuring read consistency would require more complex coordination mechanisms between the standalone GC service and active queries, potentially involving a distributed lock manager or a more sophisticated temporary manifest system.
+
+This alternative could be implemented in the future if the integrated GC worker proves insufficient or if there is a need for more advanced GC strategies.
+
+### 2. Manifest-Driven Deletion (No Lingering Time)
+
+This alternative would involve immediate deletion of files once they are removed from the manifest, without a lingering time.
+
+**Pros:**
+*   **Simplicity**: Simplifies the GC logic by removing the need for lingering time management.
+*   **Immediate Space Reclamation**: Storage space is reclaimed as soon as files are marked for deletion.
+
+**Cons:**
+*   **Increased Risk of Data Loss**: Higher risk of deleting files still in use by long-running queries or other processes if not perfectly synchronized.
+*   **Complex Read Consistency**: Requires extremely robust and immediate mechanisms to ensure that no active queries are referencing files marked for deletion, potentially leading to performance bottlenecks or complex error handling.
+*   **Debugging Challenges**: Difficult to debug issues related to premature file deletion due to the immediate nature of the operation.

flake.lock

@@ -41,16 +41,16 @@
     },
     "nixpkgs": {
       "locked": {
-        "lastModified": 1745487689,
-        "narHash": "sha256-FQoi3R0NjQeBAsEOo49b5tbDPcJSMWc3QhhaIi9eddw=",
+        "lastModified": 1748162331,
+        "narHash": "sha256-rqc2RKYTxP3tbjA+PB3VMRQNnjesrT0pEofXQTrMsS8=",
         "owner": "NixOS",
         "repo": "nixpkgs",
-        "rev": "5630cf13cceac06cefe9fc607e8dfa8fb342dde3",
+        "rev": "7c43f080a7f28b2774f3b3f43234ca11661bf334",
         "type": "github"
       },
       "original": {
         "owner": "NixOS",
-        "ref": "nixos-24.11",
+        "ref": "nixos-25.05",
         "repo": "nixpkgs",
         "type": "github"
       }

flake.nix

@@ -2,7 +2,7 @@
   description = "Development environment flake";
 
   inputs = {
-    nixpkgs.url = "github:NixOS/nixpkgs/nixos-24.11";
+    nixpkgs.url = "github:NixOS/nixpkgs/nixos-25.05";
     fenix = {
       url = "github:nix-community/fenix";
       inputs.nixpkgs.follows = "nixpkgs";
@@ -51,6 +51,7 @@
           ];
 
           LD_LIBRARY_PATH = pkgs.lib.makeLibraryPath buildInputs;
+          NIX_HARDENING_ENABLE = "";
         };
       });
 }

grafana/README.md

@@ -9,7 +9,7 @@ We highly recommend using the self-monitoring feature provided by [GreptimeDB Op
 - **Metrics Dashboards**
 
   - `dashboards/metrics/cluster/dashboard.json`: The Grafana dashboard for the GreptimeDB cluster. Read the [dashboard.md](./dashboards/metrics/cluster/dashboard.md) for more details.
-  
+
   - `dashboards/metrics/standalone/dashboard.json`: The Grafana dashboard for the standalone GreptimeDB instance. **It's generated from the `cluster/dashboard.json` by removing the instance filter through the `make dashboards` command**. Read the [dashboard.md](./dashboards/metrics/standalone/dashboard.md) for more details.
 
 - **Logs Dashboard**
@@ -83,7 +83,7 @@ If you use the [Helm Chart](https://github.com/GreptimeTeam/helm-charts) to depl
 - `monitoring.enabled=true`: Deploys a standalone GreptimeDB instance dedicated to monitoring the cluster;
 - `grafana.enabled=true`: Deploys Grafana and automatically imports the monitoring dashboard;
 
-The standalone GreptimeDB instance will collect metrics from your cluster, and the dashboard will be available in the Grafana UI. For detailed deployment instructions, please refer to our [Kubernetes deployment guide](https://docs.greptime.com/nightly/user-guide/deployments/deploy-on-kubernetes/getting-started).
+The standalone GreptimeDB instance will collect metrics from your cluster, and the dashboard will be available in the Grafana UI. For detailed deployment instructions, please refer to our [Kubernetes deployment guide](https://docs.greptime.com/user-guide/deployments-administration/deploy-on-kubernetes/overview).
 
 ### Self-host Prometheus and import dashboards manually
 

grafana/dashboards/metrics/cluster/dashboard.md

@@ -21,14 +21,14 @@
 # Resources
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
-| Datanode Memory per Instance | `sum(process_resident_memory_bytes{instance=~"$datanode"}) by (instance, pod)` | `timeseries` | Current memory usage by instance | `prometheus` | `decbytes` | `[{{instance}}]-[{{ pod }}]` |
-| Datanode CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{instance=~"$datanode"}[$__rate_interval]) * 1000) by (instance, pod)` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
-| Frontend Memory per Instance | `sum(process_resident_memory_bytes{instance=~"$frontend"}) by (instance, pod)` | `timeseries` | Current memory usage by instance | `prometheus` | `decbytes` | `[{{ instance }}]-[{{ pod }}]` |
-| Frontend CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{instance=~"$frontend"}[$__rate_interval]) * 1000) by (instance, pod)` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]-cpu` |
-| Metasrv Memory per Instance | `sum(process_resident_memory_bytes{instance=~"$metasrv"}) by (instance, pod)` | `timeseries` | Current memory usage by instance | `prometheus` | `decbytes` | `[{{ instance }}]-[{{ pod }}]-resident` |
-| Metasrv CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{instance=~"$metasrv"}[$__rate_interval]) * 1000) by (instance, pod)` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
-| Flownode Memory per Instance | `sum(process_resident_memory_bytes{instance=~"$flownode"}) by (instance, pod)` | `timeseries` | Current memory usage by instance | `prometheus` | `decbytes` | `[{{ instance }}]-[{{ pod }}]` |
-| Flownode CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{instance=~"$flownode"}[$__rate_interval]) * 1000) by (instance, pod)` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
+| Datanode Memory per Instance | `sum(process_resident_memory_bytes{instance=~"$datanode"}) by (instance, pod)`<br/>`max(greptime_memory_limit_in_bytes{app="greptime-datanode"})` | `timeseries` | Current memory usage by instance | `prometheus` | `bytes` | `[{{instance}}]-[{{ pod }}]` |
+| Datanode CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{instance=~"$datanode"}[$__rate_interval]) * 1000) by (instance, pod)`<br/>`max(greptime_cpu_limit_in_millicores{app="greptime-datanode"})` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
+| Frontend Memory per Instance | `sum(process_resident_memory_bytes{instance=~"$frontend"}) by (instance, pod)`<br/>`max(greptime_memory_limit_in_bytes{app="greptime-frontend"})` | `timeseries` | Current memory usage by instance | `prometheus` | `bytes` | `[{{ instance }}]-[{{ pod }}]` |
+| Frontend CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{instance=~"$frontend"}[$__rate_interval]) * 1000) by (instance, pod)`<br/>`max(greptime_cpu_limit_in_millicores{app="greptime-frontend"})` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]-cpu` |
+| Metasrv Memory per Instance | `sum(process_resident_memory_bytes{instance=~"$metasrv"}) by (instance, pod)`<br/>`max(greptime_memory_limit_in_bytes{app="greptime-metasrv"})` | `timeseries` | Current memory usage by instance | `prometheus` | `bytes` | `[{{ instance }}]-[{{ pod }}]-resident` |
+| Metasrv CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{instance=~"$metasrv"}[$__rate_interval]) * 1000) by (instance, pod)`<br/>`max(greptime_cpu_limit_in_millicores{app="greptime-metasrv"})` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
+| Flownode Memory per Instance | `sum(process_resident_memory_bytes{instance=~"$flownode"}) by (instance, pod)`<br/>`max(greptime_memory_limit_in_bytes{app="greptime-flownode"})` | `timeseries` | Current memory usage by instance | `prometheus` | `bytes` | `[{{ instance }}]-[{{ pod }}]` |
+| Flownode CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{instance=~"$flownode"}[$__rate_interval]) * 1000) by (instance, pod)`<br/>`max(greptime_cpu_limit_in_millicores{app="greptime-flownode"})` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
 # Frontend Requests
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
@@ -46,6 +46,7 @@
 | Ingest Rows per Instance | `sum by(instance, pod)(rate(greptime_table_operator_ingest_rows{instance=~"$frontend"}[$__rate_interval]))` | `timeseries` | Ingestion rate by row as in each frontend | `prometheus` | `rowsps` | `[{{instance}}]-[{{pod}}]` |
 | Region Call QPS per Instance | `sum by(instance, pod, request_type) (rate(greptime_grpc_region_request_count{instance=~"$frontend"}[$__rate_interval]))` | `timeseries` | Region Call QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{request_type}}]` |
 | Region Call P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, request_type) (rate(greptime_grpc_region_request_bucket{instance=~"$frontend"}[$__rate_interval])))` | `timeseries` | Region Call P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{request_type}}]` |
+| Frontend Handle Bulk Insert Elapsed Time  | `sum by(instance, pod, stage) (rate(greptime_table_operator_handle_bulk_insert_sum[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_table_operator_handle_bulk_insert_count[$__rate_interval]))`<br/>`histogram_quantile(0.99, sum by(instance, pod, stage, le) (rate(greptime_table_operator_handle_bulk_insert_bucket[$__rate_interval])))` | `timeseries` | Per-stage time for frontend to handle bulk insert requests | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-AVG` |
 # Mito Engine
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
@@ -59,7 +60,7 @@
 | Read Stage P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_read_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))` | `timeseries` | Read Stage P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]` |
 | Write Stage P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_write_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))` | `timeseries` | Write Stage P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]` |
 | Compaction OPS per Instance | `sum by(instance, pod) (rate(greptime_mito_compaction_total_elapsed_count{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Compaction OPS per Instance. | `prometheus` | `ops` | `[{{ instance }}]-[{{pod}}]` |
-| Compaction P99 per Instance by Stage | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))` | `timeseries` | Compaction latency by stage | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-p99` |
+| Compaction Elapsed Time per Instance by Stage | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))`<br/>`sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{instance=~"$datanode"}[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_count{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Compaction latency by stage | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-p99` |
 | Compaction P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le,stage) (rate(greptime_mito_compaction_total_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))` | `timeseries` | Compaction P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-compaction` |
 | WAL write size | `histogram_quantile(0.95, sum by(le,instance, pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))`<br/>`histogram_quantile(0.99, sum by(le,instance,pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))`<br/>`sum by (instance, pod)(rate(raft_engine_write_size_sum[$__rate_interval]))` | `timeseries` | Write-ahead logs write size as bytes. This chart includes stats of p95 and p99 size by instance, total WAL write rate. | `prometheus` | `bytes` | `[{{instance}}]-[{{pod}}]-req-size-p95` |
 | Cached Bytes per Instance | `greptime_mito_cache_bytes{instance=~"$datanode"}` | `timeseries` | Cached Bytes per Instance. | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
@@ -67,26 +68,41 @@
 | WAL sync duration seconds | `histogram_quantile(0.99, sum by(le, type, node, instance, pod) (rate(raft_engine_sync_log_duration_seconds_bucket[$__rate_interval])))` | `timeseries` | Raft engine (local disk) log store sync latency, p99 | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-p99` |
 | Log Store op duration seconds | `histogram_quantile(0.99, sum by(le,logstore,optype,instance, pod) (rate(greptime_logstore_op_elapsed_bucket[$__rate_interval])))` | `timeseries` | Write-ahead log operations latency at p99 | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{logstore}}]-[{{optype}}]-p99` |
 | Inflight Flush | `greptime_mito_inflight_flush_count` | `timeseries` | Ongoing flush task count | `prometheus` | `none` | `[{{instance}}]-[{{pod}}]` |
+| Compaction Input/Output Bytes | `sum by(instance, pod) (greptime_mito_compaction_input_bytes)`<br/>`sum by(instance, pod) (greptime_mito_compaction_output_bytes)` | `timeseries` | Compaction oinput output bytes | `prometheus` | `bytes` | `[{{instance}}]-[{{pod}}]-input` |
+| Region Worker Handle Bulk Insert Requests | `histogram_quantile(0.95, sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_bucket[$__rate_interval])))`<br/>`sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to handle bulk insert region requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
+| Active Series and Field Builders Count | `sum by(instance, pod) (greptime_mito_memtable_active_series_count)`<br/>`sum by(instance, pod) (greptime_mito_memtable_field_builder_count)` | `timeseries` | Compaction oinput output bytes | `prometheus` | `none` | `[{{instance}}]-[{{pod}}]-series` |
+| Region Worker Convert Requests | `histogram_quantile(0.95, sum by(le, instance, stage, pod) (rate(greptime_datanode_convert_region_request_bucket[$__rate_interval])))`<br/>`sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to decode requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
+| Cache Miss | `sum by (instance,pod, type) (rate(greptime_mito_cache_miss{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | The local cache miss of the datanode. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
 # OpenDAL
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
 | QPS per Instance | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
-| Read QPS per Instance | `sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation="read"}[$__rate_interval]))` | `timeseries` | Read QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
-| Read P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode",operation="read"}[$__rate_interval])))` | `timeseries` | Read P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-{{scheme}}` |
-| Write QPS per Instance | `sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation="write"}[$__rate_interval]))` | `timeseries` | Write QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-{{scheme}}` |
-| Write P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation="write"}[$__rate_interval])))` | `timeseries` | Write P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
+| Read QPS per Instance | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation=~"read\|Reader::read"}[$__rate_interval]))` | `timeseries` | Read QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Read P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode",operation=~"read\|Reader::read"}[$__rate_interval])))` | `timeseries` | Read P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Write QPS per Instance | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation=~"write\|Writer::write\|Writer::close"}[$__rate_interval]))` | `timeseries` | Write QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Write P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation =~ "Writer::write\|Writer::close\|write"}[$__rate_interval])))` | `timeseries` | Write P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
 | List QPS per Instance | `sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation="list"}[$__rate_interval]))` | `timeseries` | List QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
 | List P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation="list"}[$__rate_interval])))` | `timeseries` | List P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
 | Other Requests per Instance | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode",operation!~"read\|write\|list\|stat"}[$__rate_interval]))` | `timeseries` | Other Requests per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
-| Other Request P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation!~"read\|write\|list"}[$__rate_interval])))` | `timeseries` | Other Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Other Request P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation!~"read\|write\|list\|Writer::write\|Writer::close\|Reader::read"}[$__rate_interval])))` | `timeseries` | Other Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
 | Opendal traffic | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_bytes_sum{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Total traffic as in bytes by instance and operation | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
 | OpenDAL errors per Instance | `sum by(instance, pod, scheme, operation, error) (rate(opendal_operation_errors_total{instance=~"$datanode", error!="NotFound"}[$__rate_interval]))` | `timeseries` | OpenDAL error counts per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]` |
 # Metasrv
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
-| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `state-timeline` | Counter of region migration by source and destination | `prometheus` | `none` | `from-datanode-{{datanode_id}}` |
-| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `__auto` |
-| Datanode load | `greptime_datanode_load` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `none` | `__auto` |
+| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `status-history` | Counter of region migration by source and destination | `prometheus` | -- | `from-datanode-{{datanode_id}}` |
+| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `{{pod}}-{{state}}-{{error_type}}` |
+| Datanode load | `greptime_datanode_load` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `binBps` | `Datanode-{{datanode_id}}-writeload` |
+| Rate of SQL Executions (RDS) | `rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_count[$__rate_interval])` | `timeseries` | Displays the rate of SQL executions processed by the Meta service using the RDS backend. | `prometheus` | `none` | `{{pod}} {{op}} {{type}} {{result}} ` |
+| SQL Execution Latency (RDS) | `histogram_quantile(0.90, sum by(pod, op, type, result, le) (rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_bucket[$__rate_interval])))` | `timeseries` | Measures the response time of SQL executions via the RDS backend.  | `prometheus` | `ms` | `{{pod}} {{op}} {{type}} {{result}} p90` |
+| Handler Execution Latency | `histogram_quantile(0.90, sum by(pod, le, name) (
+  rate(greptime_meta_handler_execute_bucket[$__rate_interval])
+))` | `timeseries` | Shows latency of Meta handlers by pod and handler name, useful for monitoring handler performance and detecting latency spikes.<br/> | `prometheus` | `s` | `{{pod}} {{name}} p90` |
+| Heartbeat Packet Size | `histogram_quantile(0.9, sum by(pod, le) (greptime_meta_heartbeat_stat_memory_size_bucket))` | `timeseries` | Shows p90 heartbeat message sizes, helping track network usage and identify anomalies in heartbeat payload.<br/> | `prometheus` | `bytes` | `{{pod}}` |
+| Meta Heartbeat Receive Rate | `rate(greptime_meta_heartbeat_rate[$__rate_interval])` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `{{pod}}` |
+| Meta KV Ops Latency | `histogram_quantile(0.99, sum by(pod, le, op, target) (greptime_meta_kv_request_elapsed_bucket))` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `{{pod}}-{{op}} p99` |
+| Rate of meta KV Ops | `rate(greptime_meta_kv_request_elapsed_count[$__rate_interval])` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `none` | `{{pod}}-{{op}} p99` |
+| DDL Latency | `histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_tables_bucket))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_table))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_view))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_flow))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_drop_table))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_alter_table))` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `CreateLogicalTables-{{step}} p90` |
 # Flownode
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |

grafana/dashboards/metrics/cluster/dashboard.yaml

@@ -180,13 +180,18 @@ groups:
         - title: Datanode Memory per Instance
           type: timeseries
           description: Current memory usage by instance
-          unit: decbytes
+          unit: bytes
           queries:
             - expr: sum(process_resident_memory_bytes{instance=~"$datanode"}) by (instance, pod)
               datasource:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{ pod }}]'
+            - expr: max(greptime_memory_limit_in_bytes{app="greptime-datanode"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Datanode CPU Usage per Instance
           type: timeseries
           description: Current cpu usage by instance
@@ -197,16 +202,26 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_cpu_limit_in_millicores{app="greptime-datanode"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Frontend Memory per Instance
           type: timeseries
           description: Current memory usage by instance
-          unit: decbytes
+          unit: bytes
           queries:
             - expr: sum(process_resident_memory_bytes{instance=~"$frontend"}) by (instance, pod)
               datasource:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_memory_limit_in_bytes{app="greptime-frontend"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Frontend CPU Usage per Instance
           type: timeseries
           description: Current cpu usage by instance
@@ -217,16 +232,26 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]-cpu'
+            - expr: max(greptime_cpu_limit_in_millicores{app="greptime-frontend"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Metasrv Memory per Instance
           type: timeseries
           description: Current memory usage by instance
-          unit: decbytes
+          unit: bytes
           queries:
             - expr: sum(process_resident_memory_bytes{instance=~"$metasrv"}) by (instance, pod)
               datasource:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]-resident'
+            - expr: max(greptime_memory_limit_in_bytes{app="greptime-metasrv"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Metasrv CPU Usage per Instance
           type: timeseries
           description: Current cpu usage by instance
@@ -237,16 +262,26 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_cpu_limit_in_millicores{app="greptime-metasrv"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Flownode Memory per Instance
           type: timeseries
           description: Current memory usage by instance
-          unit: decbytes
+          unit: bytes
           queries:
             - expr: sum(process_resident_memory_bytes{instance=~"$flownode"}) by (instance, pod)
               datasource:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_memory_limit_in_bytes{app="greptime-flownode"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Flownode CPU Usage per Instance
           type: timeseries
           description: Current cpu usage by instance
@@ -257,6 +292,11 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_cpu_limit_in_millicores{app="greptime-flownode"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
     - title: Frontend Requests
       panels:
         - title: HTTP QPS per Instance
@@ -371,6 +411,21 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]-[{{request_type}}]'
+        - title: 'Frontend Handle Bulk Insert Elapsed Time '
+          type: timeseries
+          description: Per-stage time for frontend to handle bulk insert requests
+          unit: s
+          queries:
+            - expr: sum by(instance, pod, stage) (rate(greptime_table_operator_handle_bulk_insert_sum[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_table_operator_handle_bulk_insert_count[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-AVG'
+            - expr: histogram_quantile(0.99, sum by(instance, pod, stage, le) (rate(greptime_table_operator_handle_bulk_insert_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-P95'
     - title: Mito Engine
       panels:
         - title: Request OPS per Instance
@@ -472,7 +527,7 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{pod}}]'
-        - title: Compaction P99 per Instance by Stage
+        - title: Compaction Elapsed Time per Instance by Stage
           type: timeseries
           description: Compaction latency by stage
           unit: s
@@ -482,6 +537,11 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-p99'
+            - expr: sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{instance=~"$datanode"}[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_count{instance=~"$datanode"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-avg'
         - title: Compaction P99 per Instance
           type: timeseries
           description: Compaction P99 per Instance.
@@ -562,6 +622,75 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Compaction Input/Output Bytes
+          type: timeseries
+          description: Compaction oinput output bytes
+          unit: bytes
+          queries:
+            - expr: sum by(instance, pod) (greptime_mito_compaction_input_bytes)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-input'
+            - expr: sum by(instance, pod) (greptime_mito_compaction_output_bytes)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-output'
+        - title: Region Worker Handle Bulk Insert Requests
+          type: timeseries
+          description: Per-stage elapsed time for region worker to handle bulk insert region requests.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.95, sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-P95'
+            - expr: sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-AVG'
+        - title: Active Series and Field Builders Count
+          type: timeseries
+          description: Compaction oinput output bytes
+          unit: none
+          queries:
+            - expr: sum by(instance, pod) (greptime_mito_memtable_active_series_count)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-series'
+            - expr: sum by(instance, pod) (greptime_mito_memtable_field_builder_count)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-field_builders'
+        - title: Region Worker Convert Requests
+          type: timeseries
+          description: Per-stage elapsed time for region worker to decode requests.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.95, sum by(le, instance, stage, pod) (rate(greptime_datanode_convert_region_request_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-P95'
+            - expr: sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_count[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-AVG'
+        - title: Cache Miss
+          type: timeseries
+          description: The local cache miss of the datanode.
+          queries:
+            - expr: sum by (instance,pod, type) (rate(greptime_mito_cache_miss{instance=~"$datanode"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]'
     - title: OpenDAL
       panels:
         - title: QPS per Instance
@@ -579,41 +708,41 @@ groups:
           description: Read QPS per Instance.
           unit: ops
           queries:
-            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation="read"}[$__rate_interval]))
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation=~"read|Reader::read"}[$__rate_interval]))
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
         - title: Read P99 per Instance
           type: timeseries
           description: Read P99 per Instance.
           unit: s
           queries:
-            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode",operation="read"}[$__rate_interval])))
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode",operation=~"read|Reader::read"}[$__rate_interval])))
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: '[{{instance}}]-[{{pod}}]-{{scheme}}'
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
         - title: Write QPS per Instance
           type: timeseries
           description: Write QPS per Instance.
           unit: ops
           queries:
-            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation="write"}[$__rate_interval]))
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation=~"write|Writer::write|Writer::close"}[$__rate_interval]))
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: '[{{instance}}]-[{{pod}}]-{{scheme}}'
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
         - title: Write P99 per Instance
           type: timeseries
           description: Write P99 per Instance.
           unit: s
           queries:
-            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation="write"}[$__rate_interval])))
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation =~ "Writer::write|Writer::close|write"}[$__rate_interval])))
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
         - title: List QPS per Instance
           type: timeseries
           description: List QPS per Instance.
@@ -649,7 +778,7 @@ groups:
           description: Other Request P99 per Instance.
           unit: s
           queries:
-            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation!~"read|write|list"}[$__rate_interval])))
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation!~"read|write|list|Writer::write|Writer::close|Reader::read"}[$__rate_interval])))
               datasource:
                 type: prometheus
                 uid: ${metrics}
@@ -676,9 +805,8 @@ groups:
     - title: Metasrv
       panels:
         - title: Region migration datanode
-          type: state-timeline
+          type: status-history
           description: Counter of region migration by source and destination
-          unit: none
           queries:
             - expr: greptime_meta_region_migration_stat{datanode_type="src"}
               datasource:
@@ -699,17 +827,127 @@ groups:
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: __auto
+              legendFormat: '{{pod}}-{{state}}-{{error_type}}'
         - title: Datanode load
           type: timeseries
           description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
-          unit: none
+          unit: binBps
           queries:
             - expr: greptime_datanode_load
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: __auto
+              legendFormat: Datanode-{{datanode_id}}-writeload
+        - title: Rate of SQL Executions (RDS)
+          type: timeseries
+          description: Displays the rate of SQL executions processed by the Meta service using the RDS backend.
+          unit: none
+          queries:
+            - expr: rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_count[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{op}} {{type}} {{result}} '
+        - title: SQL Execution Latency (RDS)
+          type: timeseries
+          description: 'Measures the response time of SQL executions via the RDS backend. '
+          unit: ms
+          queries:
+            - expr: histogram_quantile(0.90, sum by(pod, op, type, result, le) (rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{op}} {{type}} {{result}} p90'
+        - title: Handler Execution Latency
+          type: timeseries
+          description: |
+            Shows latency of Meta handlers by pod and handler name, useful for monitoring handler performance and detecting latency spikes.
+          unit: s
+          queries:
+            - expr: |-
+                histogram_quantile(0.90, sum by(pod, le, name) (
+                  rate(greptime_meta_handler_execute_bucket[$__rate_interval])
+                ))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{name}} p90'
+        - title: Heartbeat Packet Size
+          type: timeseries
+          description: |
+            Shows p90 heartbeat message sizes, helping track network usage and identify anomalies in heartbeat payload.
+          unit: bytes
+          queries:
+            - expr: histogram_quantile(0.9, sum by(pod, le) (greptime_meta_heartbeat_stat_memory_size_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}'
+        - title: Meta Heartbeat Receive Rate
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: rate(greptime_meta_heartbeat_rate[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}'
+        - title: Meta KV Ops Latency
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(pod, le, op, target) (greptime_meta_kv_request_elapsed_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}-{{op}} p99'
+        - title: Rate of meta KV Ops
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: none
+          queries:
+            - expr: rate(greptime_meta_kv_request_elapsed_count[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}-{{op}} p99'
+        - title: DDL Latency
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_tables_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateLogicalTables-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateTable-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_view))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateView-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_flow))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateFlow-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_drop_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: DropTable-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_alter_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: AlterTable-{{step}} p90
     - title: Flownode
       panels:
         - title: Flow Ingest / Output Rate

grafana/dashboards/metrics/standalone/dashboard.md

@@ -21,14 +21,14 @@
 # Resources
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
-| Datanode Memory per Instance | `sum(process_resident_memory_bytes{}) by (instance, pod)` | `timeseries` | Current memory usage by instance | `prometheus` | `decbytes` | `[{{instance}}]-[{{ pod }}]` |
-| Datanode CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
-| Frontend Memory per Instance | `sum(process_resident_memory_bytes{}) by (instance, pod)` | `timeseries` | Current memory usage by instance | `prometheus` | `decbytes` | `[{{ instance }}]-[{{ pod }}]` |
-| Frontend CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]-cpu` |
-| Metasrv Memory per Instance | `sum(process_resident_memory_bytes{}) by (instance, pod)` | `timeseries` | Current memory usage by instance | `prometheus` | `decbytes` | `[{{ instance }}]-[{{ pod }}]-resident` |
-| Metasrv CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
-| Flownode Memory per Instance | `sum(process_resident_memory_bytes{}) by (instance, pod)` | `timeseries` | Current memory usage by instance | `prometheus` | `decbytes` | `[{{ instance }}]-[{{ pod }}]` |
-| Flownode CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
+| Datanode Memory per Instance | `sum(process_resident_memory_bytes{}) by (instance, pod)`<br/>`max(greptime_memory_limit_in_bytes{app="greptime-datanode"})` | `timeseries` | Current memory usage by instance | `prometheus` | `bytes` | `[{{instance}}]-[{{ pod }}]` |
+| Datanode CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)`<br/>`max(greptime_cpu_limit_in_millicores{app="greptime-datanode"})` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
+| Frontend Memory per Instance | `sum(process_resident_memory_bytes{}) by (instance, pod)`<br/>`max(greptime_memory_limit_in_bytes{app="greptime-frontend"})` | `timeseries` | Current memory usage by instance | `prometheus` | `bytes` | `[{{ instance }}]-[{{ pod }}]` |
+| Frontend CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)`<br/>`max(greptime_cpu_limit_in_millicores{app="greptime-frontend"})` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]-cpu` |
+| Metasrv Memory per Instance | `sum(process_resident_memory_bytes{}) by (instance, pod)`<br/>`max(greptime_memory_limit_in_bytes{app="greptime-metasrv"})` | `timeseries` | Current memory usage by instance | `prometheus` | `bytes` | `[{{ instance }}]-[{{ pod }}]-resident` |
+| Metasrv CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)`<br/>`max(greptime_cpu_limit_in_millicores{app="greptime-metasrv"})` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
+| Flownode Memory per Instance | `sum(process_resident_memory_bytes{}) by (instance, pod)`<br/>`max(greptime_memory_limit_in_bytes{app="greptime-flownode"})` | `timeseries` | Current memory usage by instance | `prometheus` | `bytes` | `[{{ instance }}]-[{{ pod }}]` |
+| Flownode CPU Usage per Instance | `sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)`<br/>`max(greptime_cpu_limit_in_millicores{app="greptime-flownode"})` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
 # Frontend Requests
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
@@ -46,6 +46,7 @@
 | Ingest Rows per Instance | `sum by(instance, pod)(rate(greptime_table_operator_ingest_rows{}[$__rate_interval]))` | `timeseries` | Ingestion rate by row as in each frontend | `prometheus` | `rowsps` | `[{{instance}}]-[{{pod}}]` |
 | Region Call QPS per Instance | `sum by(instance, pod, request_type) (rate(greptime_grpc_region_request_count{}[$__rate_interval]))` | `timeseries` | Region Call QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{request_type}}]` |
 | Region Call P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, request_type) (rate(greptime_grpc_region_request_bucket{}[$__rate_interval])))` | `timeseries` | Region Call P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{request_type}}]` |
+| Frontend Handle Bulk Insert Elapsed Time  | `sum by(instance, pod, stage) (rate(greptime_table_operator_handle_bulk_insert_sum[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_table_operator_handle_bulk_insert_count[$__rate_interval]))`<br/>`histogram_quantile(0.99, sum by(instance, pod, stage, le) (rate(greptime_table_operator_handle_bulk_insert_bucket[$__rate_interval])))` | `timeseries` | Per-stage time for frontend to handle bulk insert requests | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-AVG` |
 # Mito Engine
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
@@ -59,7 +60,7 @@
 | Read Stage P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_read_stage_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | Read Stage P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]` |
 | Write Stage P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_write_stage_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | Write Stage P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]` |
 | Compaction OPS per Instance | `sum by(instance, pod) (rate(greptime_mito_compaction_total_elapsed_count{}[$__rate_interval]))` | `timeseries` | Compaction OPS per Instance. | `prometheus` | `ops` | `[{{ instance }}]-[{{pod}}]` |
-| Compaction P99 per Instance by Stage | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | Compaction latency by stage | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-p99` |
+| Compaction Elapsed Time per Instance by Stage | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{}[$__rate_interval])))`<br/>`sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{}[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_count{}[$__rate_interval]))` | `timeseries` | Compaction latency by stage | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-p99` |
 | Compaction P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le,stage) (rate(greptime_mito_compaction_total_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | Compaction P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-compaction` |
 | WAL write size | `histogram_quantile(0.95, sum by(le,instance, pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))`<br/>`histogram_quantile(0.99, sum by(le,instance,pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))`<br/>`sum by (instance, pod)(rate(raft_engine_write_size_sum[$__rate_interval]))` | `timeseries` | Write-ahead logs write size as bytes. This chart includes stats of p95 and p99 size by instance, total WAL write rate. | `prometheus` | `bytes` | `[{{instance}}]-[{{pod}}]-req-size-p95` |
 | Cached Bytes per Instance | `greptime_mito_cache_bytes{}` | `timeseries` | Cached Bytes per Instance. | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
@@ -67,26 +68,41 @@
 | WAL sync duration seconds | `histogram_quantile(0.99, sum by(le, type, node, instance, pod) (rate(raft_engine_sync_log_duration_seconds_bucket[$__rate_interval])))` | `timeseries` | Raft engine (local disk) log store sync latency, p99 | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-p99` |
 | Log Store op duration seconds | `histogram_quantile(0.99, sum by(le,logstore,optype,instance, pod) (rate(greptime_logstore_op_elapsed_bucket[$__rate_interval])))` | `timeseries` | Write-ahead log operations latency at p99 | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{logstore}}]-[{{optype}}]-p99` |
 | Inflight Flush | `greptime_mito_inflight_flush_count` | `timeseries` | Ongoing flush task count | `prometheus` | `none` | `[{{instance}}]-[{{pod}}]` |
+| Compaction Input/Output Bytes | `sum by(instance, pod) (greptime_mito_compaction_input_bytes)`<br/>`sum by(instance, pod) (greptime_mito_compaction_output_bytes)` | `timeseries` | Compaction oinput output bytes | `prometheus` | `bytes` | `[{{instance}}]-[{{pod}}]-input` |
+| Region Worker Handle Bulk Insert Requests | `histogram_quantile(0.95, sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_bucket[$__rate_interval])))`<br/>`sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to handle bulk insert region requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
+| Active Series and Field Builders Count | `sum by(instance, pod) (greptime_mito_memtable_active_series_count)`<br/>`sum by(instance, pod) (greptime_mito_memtable_field_builder_count)` | `timeseries` | Compaction oinput output bytes | `prometheus` | `none` | `[{{instance}}]-[{{pod}}]-series` |
+| Region Worker Convert Requests | `histogram_quantile(0.95, sum by(le, instance, stage, pod) (rate(greptime_datanode_convert_region_request_bucket[$__rate_interval])))`<br/>`sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_count[$__rate_interval]))` | `timeseries` | Per-stage elapsed time for region worker to decode requests. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-P95` |
+| Cache Miss | `sum by (instance,pod, type) (rate(greptime_mito_cache_miss{}[$__rate_interval]))` | `timeseries` | The local cache miss of the datanode. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
 # OpenDAL
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
 | QPS per Instance | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{}[$__rate_interval]))` | `timeseries` | QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
-| Read QPS per Instance | `sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{ operation="read"}[$__rate_interval]))` | `timeseries` | Read QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
-| Read P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{operation="read"}[$__rate_interval])))` | `timeseries` | Read P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-{{scheme}}` |
-| Write QPS per Instance | `sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{ operation="write"}[$__rate_interval]))` | `timeseries` | Write QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-{{scheme}}` |
-| Write P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{ operation="write"}[$__rate_interval])))` | `timeseries` | Write P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
+| Read QPS per Instance | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{ operation=~"read\|Reader::read"}[$__rate_interval]))` | `timeseries` | Read QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Read P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{operation=~"read\|Reader::read"}[$__rate_interval])))` | `timeseries` | Read P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Write QPS per Instance | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{ operation=~"write\|Writer::write\|Writer::close"}[$__rate_interval]))` | `timeseries` | Write QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Write P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{ operation =~ "Writer::write\|Writer::close\|write"}[$__rate_interval])))` | `timeseries` | Write P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
 | List QPS per Instance | `sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{ operation="list"}[$__rate_interval]))` | `timeseries` | List QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
 | List P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{ operation="list"}[$__rate_interval])))` | `timeseries` | List P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
 | Other Requests per Instance | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{operation!~"read\|write\|list\|stat"}[$__rate_interval]))` | `timeseries` | Other Requests per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
-| Other Request P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{ operation!~"read\|write\|list"}[$__rate_interval])))` | `timeseries` | Other Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Other Request P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{ operation!~"read\|write\|list\|Writer::write\|Writer::close\|Reader::read"}[$__rate_interval])))` | `timeseries` | Other Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
 | Opendal traffic | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_bytes_sum{}[$__rate_interval]))` | `timeseries` | Total traffic as in bytes by instance and operation | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
 | OpenDAL errors per Instance | `sum by(instance, pod, scheme, operation, error) (rate(opendal_operation_errors_total{ error!="NotFound"}[$__rate_interval]))` | `timeseries` | OpenDAL error counts per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]` |
 # Metasrv
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |
-| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `state-timeline` | Counter of region migration by source and destination | `prometheus` | `none` | `from-datanode-{{datanode_id}}` |
-| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `__auto` |
-| Datanode load | `greptime_datanode_load` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `none` | `__auto` |
+| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `status-history` | Counter of region migration by source and destination | `prometheus` | -- | `from-datanode-{{datanode_id}}` |
+| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `{{pod}}-{{state}}-{{error_type}}` |
+| Datanode load | `greptime_datanode_load` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `binBps` | `Datanode-{{datanode_id}}-writeload` |
+| Rate of SQL Executions (RDS) | `rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_count[$__rate_interval])` | `timeseries` | Displays the rate of SQL executions processed by the Meta service using the RDS backend. | `prometheus` | `none` | `{{pod}} {{op}} {{type}} {{result}} ` |
+| SQL Execution Latency (RDS) | `histogram_quantile(0.90, sum by(pod, op, type, result, le) (rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_bucket[$__rate_interval])))` | `timeseries` | Measures the response time of SQL executions via the RDS backend.  | `prometheus` | `ms` | `{{pod}} {{op}} {{type}} {{result}} p90` |
+| Handler Execution Latency | `histogram_quantile(0.90, sum by(pod, le, name) (
+  rate(greptime_meta_handler_execute_bucket[$__rate_interval])
+))` | `timeseries` | Shows latency of Meta handlers by pod and handler name, useful for monitoring handler performance and detecting latency spikes.<br/> | `prometheus` | `s` | `{{pod}} {{name}} p90` |
+| Heartbeat Packet Size | `histogram_quantile(0.9, sum by(pod, le) (greptime_meta_heartbeat_stat_memory_size_bucket))` | `timeseries` | Shows p90 heartbeat message sizes, helping track network usage and identify anomalies in heartbeat payload.<br/> | `prometheus` | `bytes` | `{{pod}}` |
+| Meta Heartbeat Receive Rate | `rate(greptime_meta_heartbeat_rate[$__rate_interval])` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `{{pod}}` |
+| Meta KV Ops Latency | `histogram_quantile(0.99, sum by(pod, le, op, target) (greptime_meta_kv_request_elapsed_bucket))` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `{{pod}}-{{op}} p99` |
+| Rate of meta KV Ops | `rate(greptime_meta_kv_request_elapsed_count[$__rate_interval])` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `none` | `{{pod}}-{{op}} p99` |
+| DDL Latency | `histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_tables_bucket))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_table))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_view))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_flow))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_drop_table))`<br/>`histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_alter_table))` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `s` | `CreateLogicalTables-{{step}} p90` |
 # Flownode
 | Title | Query | Type | Description | Datasource | Unit | Legend Format |
 | --- | --- | --- | --- | --- | --- | --- |

grafana/dashboards/metrics/standalone/dashboard.yaml

@@ -180,13 +180,18 @@ groups:
         - title: Datanode Memory per Instance
           type: timeseries
           description: Current memory usage by instance
-          unit: decbytes
+          unit: bytes
           queries:
             - expr: sum(process_resident_memory_bytes{}) by (instance, pod)
               datasource:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{ pod }}]'
+            - expr: max(greptime_memory_limit_in_bytes{app="greptime-datanode"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Datanode CPU Usage per Instance
           type: timeseries
           description: Current cpu usage by instance
@@ -197,16 +202,26 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_cpu_limit_in_millicores{app="greptime-datanode"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Frontend Memory per Instance
           type: timeseries
           description: Current memory usage by instance
-          unit: decbytes
+          unit: bytes
           queries:
             - expr: sum(process_resident_memory_bytes{}) by (instance, pod)
               datasource:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_memory_limit_in_bytes{app="greptime-frontend"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Frontend CPU Usage per Instance
           type: timeseries
           description: Current cpu usage by instance
@@ -217,16 +232,26 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]-cpu'
+            - expr: max(greptime_cpu_limit_in_millicores{app="greptime-frontend"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Metasrv Memory per Instance
           type: timeseries
           description: Current memory usage by instance
-          unit: decbytes
+          unit: bytes
           queries:
             - expr: sum(process_resident_memory_bytes{}) by (instance, pod)
               datasource:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]-resident'
+            - expr: max(greptime_memory_limit_in_bytes{app="greptime-metasrv"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Metasrv CPU Usage per Instance
           type: timeseries
           description: Current cpu usage by instance
@@ -237,16 +262,26 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_cpu_limit_in_millicores{app="greptime-metasrv"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Flownode Memory per Instance
           type: timeseries
           description: Current memory usage by instance
-          unit: decbytes
+          unit: bytes
           queries:
             - expr: sum(process_resident_memory_bytes{}) by (instance, pod)
               datasource:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_memory_limit_in_bytes{app="greptime-flownode"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
         - title: Flownode CPU Usage per Instance
           type: timeseries
           description: Current cpu usage by instance
@@ -257,6 +292,11 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{ pod }}]'
+            - expr: max(greptime_cpu_limit_in_millicores{app="greptime-flownode"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: limit
     - title: Frontend Requests
       panels:
         - title: HTTP QPS per Instance
@@ -371,6 +411,21 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]-[{{request_type}}]'
+        - title: 'Frontend Handle Bulk Insert Elapsed Time '
+          type: timeseries
+          description: Per-stage time for frontend to handle bulk insert requests
+          unit: s
+          queries:
+            - expr: sum by(instance, pod, stage) (rate(greptime_table_operator_handle_bulk_insert_sum[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_table_operator_handle_bulk_insert_count[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-AVG'
+            - expr: histogram_quantile(0.99, sum by(instance, pod, stage, le) (rate(greptime_table_operator_handle_bulk_insert_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-P95'
     - title: Mito Engine
       panels:
         - title: Request OPS per Instance
@@ -472,7 +527,7 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{ instance }}]-[{{pod}}]'
-        - title: Compaction P99 per Instance by Stage
+        - title: Compaction Elapsed Time per Instance by Stage
           type: timeseries
           description: Compaction latency by stage
           unit: s
@@ -482,6 +537,11 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-p99'
+            - expr: sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_sum{}[$__rate_interval]))/sum by(instance, pod, stage) (rate(greptime_mito_compaction_stage_elapsed_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-avg'
         - title: Compaction P99 per Instance
           type: timeseries
           description: Compaction P99 per Instance.
@@ -562,6 +622,75 @@ groups:
                 type: prometheus
                 uid: ${metrics}
               legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Compaction Input/Output Bytes
+          type: timeseries
+          description: Compaction oinput output bytes
+          unit: bytes
+          queries:
+            - expr: sum by(instance, pod) (greptime_mito_compaction_input_bytes)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-input'
+            - expr: sum by(instance, pod) (greptime_mito_compaction_output_bytes)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-output'
+        - title: Region Worker Handle Bulk Insert Requests
+          type: timeseries
+          description: Per-stage elapsed time for region worker to handle bulk insert region requests.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.95, sum by(le,instance, stage, pod) (rate(greptime_region_worker_handle_write_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-P95'
+            - expr: sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_sum[$__rate_interval]))/sum by(instance, stage, pod) (rate(greptime_region_worker_handle_write_count[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-AVG'
+        - title: Active Series and Field Builders Count
+          type: timeseries
+          description: Compaction oinput output bytes
+          unit: none
+          queries:
+            - expr: sum by(instance, pod) (greptime_mito_memtable_active_series_count)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-series'
+            - expr: sum by(instance, pod) (greptime_mito_memtable_field_builder_count)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-field_builders'
+        - title: Region Worker Convert Requests
+          type: timeseries
+          description: Per-stage elapsed time for region worker to decode requests.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.95, sum by(le, instance, stage, pod) (rate(greptime_datanode_convert_region_request_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-P95'
+            - expr: sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_sum[$__rate_interval]))/sum by(le,instance, stage, pod) (rate(greptime_datanode_convert_region_request_count[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-AVG'
+        - title: Cache Miss
+          type: timeseries
+          description: The local cache miss of the datanode.
+          queries:
+            - expr: sum by (instance,pod, type) (rate(greptime_mito_cache_miss{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]'
     - title: OpenDAL
       panels:
         - title: QPS per Instance
@@ -579,41 +708,41 @@ groups:
           description: Read QPS per Instance.
           unit: ops
           queries:
-            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{ operation="read"}[$__rate_interval]))
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{ operation=~"read|Reader::read"}[$__rate_interval]))
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
         - title: Read P99 per Instance
           type: timeseries
           description: Read P99 per Instance.
           unit: s
           queries:
-            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{operation="read"}[$__rate_interval])))
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{operation=~"read|Reader::read"}[$__rate_interval])))
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: '[{{instance}}]-[{{pod}}]-{{scheme}}'
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
         - title: Write QPS per Instance
           type: timeseries
           description: Write QPS per Instance.
           unit: ops
           queries:
-            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{ operation="write"}[$__rate_interval]))
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{ operation=~"write|Writer::write|Writer::close"}[$__rate_interval]))
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: '[{{instance}}]-[{{pod}}]-{{scheme}}'
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
         - title: Write P99 per Instance
           type: timeseries
           description: Write P99 per Instance.
           unit: s
           queries:
-            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{ operation="write"}[$__rate_interval])))
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{ operation =~ "Writer::write|Writer::close|write"}[$__rate_interval])))
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
         - title: List QPS per Instance
           type: timeseries
           description: List QPS per Instance.
@@ -649,7 +778,7 @@ groups:
           description: Other Request P99 per Instance.
           unit: s
           queries:
-            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{ operation!~"read|write|list"}[$__rate_interval])))
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{ operation!~"read|write|list|Writer::write|Writer::close|Reader::read"}[$__rate_interval])))
               datasource:
                 type: prometheus
                 uid: ${metrics}
@@ -676,9 +805,8 @@ groups:
     - title: Metasrv
       panels:
         - title: Region migration datanode
-          type: state-timeline
+          type: status-history
           description: Counter of region migration by source and destination
-          unit: none
           queries:
             - expr: greptime_meta_region_migration_stat{datanode_type="src"}
               datasource:
@@ -699,17 +827,127 @@ groups:
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: __auto
+              legendFormat: '{{pod}}-{{state}}-{{error_type}}'
         - title: Datanode load
           type: timeseries
           description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
-          unit: none
+          unit: binBps
           queries:
             - expr: greptime_datanode_load
               datasource:
                 type: prometheus
                 uid: ${metrics}
-              legendFormat: __auto
+              legendFormat: Datanode-{{datanode_id}}-writeload
+        - title: Rate of SQL Executions (RDS)
+          type: timeseries
+          description: Displays the rate of SQL executions processed by the Meta service using the RDS backend.
+          unit: none
+          queries:
+            - expr: rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_count[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{op}} {{type}} {{result}} '
+        - title: SQL Execution Latency (RDS)
+          type: timeseries
+          description: 'Measures the response time of SQL executions via the RDS backend. '
+          unit: ms
+          queries:
+            - expr: histogram_quantile(0.90, sum by(pod, op, type, result, le) (rate(greptime_meta_rds_pg_sql_execute_elapsed_ms_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{op}} {{type}} {{result}} p90'
+        - title: Handler Execution Latency
+          type: timeseries
+          description: |
+            Shows latency of Meta handlers by pod and handler name, useful for monitoring handler performance and detecting latency spikes.
+          unit: s
+          queries:
+            - expr: |-
+                histogram_quantile(0.90, sum by(pod, le, name) (
+                  rate(greptime_meta_handler_execute_bucket[$__rate_interval])
+                ))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}} {{name}} p90'
+        - title: Heartbeat Packet Size
+          type: timeseries
+          description: |
+            Shows p90 heartbeat message sizes, helping track network usage and identify anomalies in heartbeat payload.
+          unit: bytes
+          queries:
+            - expr: histogram_quantile(0.9, sum by(pod, le) (greptime_meta_heartbeat_stat_memory_size_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}'
+        - title: Meta Heartbeat Receive Rate
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: rate(greptime_meta_heartbeat_rate[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}'
+        - title: Meta KV Ops Latency
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(pod, le, op, target) (greptime_meta_kv_request_elapsed_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}-{{op}} p99'
+        - title: Rate of meta KV Ops
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: none
+          queries:
+            - expr: rate(greptime_meta_kv_request_elapsed_count[$__rate_interval])
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '{{pod}}-{{op}} p99'
+        - title: DDL Latency
+          type: timeseries
+          description: Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_tables_bucket))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateLogicalTables-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateTable-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_view))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateView-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_create_flow))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: CreateFlow-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_drop_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: DropTable-{{step}} p90
+            - expr: histogram_quantile(0.9, sum by(le, pod, step) (greptime_meta_procedure_alter_table))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: AlterTable-{{step}} p90
     - title: Flownode
       panels:
         - title: Flow Ingest / Output Rate

grafana/scripts/check.sh

@@ -26,7 +26,7 @@ check_dashboards_generation() {
   ./grafana/scripts/gen-dashboards.sh
 
   if [[ -n "$(git diff --name-only grafana/dashboards/metrics)" ]]; then
-    echo "Error: The dashboards are not generated correctly. You should execute the `make dashboards` command."
+    echo "Error: The dashboards are not generated correctly. You should execute the 'make dashboards' command."
     exit 1
   fi
 }

grafana/scripts/gen-dashboards.sh

@@ -6,7 +6,7 @@ DAC_IMAGE=ghcr.io/zyy17/dac:20250423-522bd35
 
 remove_instance_filters() {
   # Remove the instance filters for the standalone dashboards.
-  sed 's/instance=~\\"$datanode\\",//; s/instance=~\\"$datanode\\"//; s/instance=~\\"$frontend\\",//; s/instance=~\\"$frontend\\"//; s/instance=~\\"$metasrv\\",//; s/instance=~\\"$metasrv\\"//; s/instance=~\\"$flownode\\",//; s/instance=~\\"$flownode\\"//;' $CLUSTER_DASHBOARD_DIR/dashboard.json > $STANDALONE_DASHBOARD_DIR/dashboard.json
+  sed -E 's/instance=~\\"(\$datanode|\$frontend|\$metasrv|\$flownode)\\",?//g' "$CLUSTER_DASHBOARD_DIR/dashboard.json" > "$STANDALONE_DASHBOARD_DIR/dashboard.json"
 }
 
 generate_intermediate_dashboards_and_docs() {

licenserc.toml

@@ -26,6 +26,17 @@ excludes = [
     "src/common/base/src/secrets.rs",
     "src/servers/src/repeated_field.rs",
     "src/servers/src/http/test_helpers.rs",
+    # enterprise
+    "src/common/meta/src/rpc/ddl/trigger.rs",
+    "src/operator/src/expr_helper/trigger.rs",
+    "src/sql/src/statements/alter/trigger.rs",
+    "src/sql/src/statements/create/trigger.rs",
+    "src/sql/src/statements/show/trigger.rs",
+    "src/sql/src/statements/drop/trigger.rs",
+    "src/sql/src/parsers/alter_parser/trigger.rs",
+    "src/sql/src/parsers/create_parser/trigger.rs",
+    "src/sql/src/parsers/show_parser/trigger.rs",
+    "src/mito2/src/extension.rs",
 ]
 
 [properties]

scripts/check-super-imports.py

@@ -13,8 +13,8 @@
 # limitations under the License.
 
 import os
-import re
 from multiprocessing import Pool
+from pathlib import Path
 
 
 def find_rust_files(directory):
@@ -24,6 +24,10 @@ def find_rust_files(directory):
         if "test" in root.lower():
             continue
 
+        # Skip the target directory
+        if "target" in Path(root).parts:
+            continue
+
         for file in files:
             # Skip files with "test" in the filename
             if "test" in file.lower():

scripts/install.sh

@@ -53,6 +53,54 @@ get_arch_type() {
   esac
 }
 
+# Verify SHA256 checksum
+verify_sha256() {
+  file="$1"
+  expected_sha256="$2"
+
+  if command -v sha256sum >/dev/null 2>&1; then
+    actual_sha256=$(sha256sum "$file" | cut -d' ' -f1)
+  elif command -v shasum >/dev/null 2>&1; then
+    actual_sha256=$(shasum -a 256 "$file" | cut -d' ' -f1)
+  else
+    echo "Warning: No SHA256 verification tool found (sha256sum or shasum). Skipping checksum verification."
+    return 0
+  fi
+
+  if [ "$actual_sha256" = "$expected_sha256" ]; then
+    echo "SHA256 checksum verified successfully."
+    return 0
+  else
+    echo "Error: SHA256 checksum verification failed!"
+    echo "Expected: $expected_sha256"
+    echo "Actual: $actual_sha256"
+    return 1
+  fi
+}
+
+# Prompt for user confirmation (compatible with different shells)
+prompt_confirmation() {
+  message="$1"
+  printf "%s (y/N): " "$message"
+
+  # Try to read user input, fallback if read fails
+  answer=""
+  if read answer </dev/tty 2>/dev/null; then
+    case "$answer" in
+      [Yy]|[Yy][Ee][Ss])
+        return 0
+        ;;
+      *)
+        return 1
+        ;;
+    esac
+  else
+    echo ""
+    echo "Cannot read user input. Defaulting to No."
+    return 1
+  fi
+}
+
 download_artifact() {
   if [ -n "${OS_TYPE}" ] && [ -n "${ARCH_TYPE}" ]; then
     # Use the latest stable released version.
@@ -71,17 +119,104 @@ download_artifact() {
     fi
 
     echo "Downloading ${BIN}, OS: ${OS_TYPE}, Arch: ${ARCH_TYPE}, Version: ${VERSION}"
-    PACKAGE_NAME="${BIN}-${OS_TYPE}-${ARCH_TYPE}-${VERSION}.tar.gz"
+    PKG_NAME="${BIN}-${OS_TYPE}-${ARCH_TYPE}-${VERSION}"
+    PACKAGE_NAME="${PKG_NAME}.tar.gz"
+    SHA256_FILE="${PKG_NAME}.sha256sum"
 
     if [ -n "${PACKAGE_NAME}" ]; then
-      wget "https://github.com/${GITHUB_ORG}/${GITHUB_REPO}/releases/download/${VERSION}/${PACKAGE_NAME}"
+      # Check if files already exist and prompt for override
+      if [ -f "${PACKAGE_NAME}" ]; then
+        echo "File ${PACKAGE_NAME} already exists."
+        if prompt_confirmation "Do you want to override it?"; then
+          echo "Overriding existing file..."
+          rm -f "${PACKAGE_NAME}"
+        else
+          echo "Skipping download. Using existing file."
+        fi
+      fi
+
+      if [ -f "${BIN}" ]; then
+        echo "Binary ${BIN} already exists."
+        if prompt_confirmation "Do you want to override it?"; then
+          echo "Will override existing binary..."
+          rm -f "${BIN}"
+        else
+          echo "Installation cancelled."
+          exit 0
+        fi
+      fi
+
+      # Download package if not exists
+      if [ ! -f "${PACKAGE_NAME}" ]; then
+        echo "Downloading ${PACKAGE_NAME}..."
+        # Use curl instead of wget for better compatibility
+        if command -v curl >/dev/null 2>&1; then
+          if ! curl -L -o "${PACKAGE_NAME}" "https://github.com/${GITHUB_ORG}/${GITHUB_REPO}/releases/download/${VERSION}/${PACKAGE_NAME}"; then
+            echo "Error: Failed to download ${PACKAGE_NAME}"
+            exit 1
+          fi
+        elif command -v wget >/dev/null 2>&1; then
+          if ! wget -O "${PACKAGE_NAME}" "https://github.com/${GITHUB_ORG}/${GITHUB_REPO}/releases/download/${VERSION}/${PACKAGE_NAME}"; then
+            echo "Error: Failed to download ${PACKAGE_NAME}"
+            exit 1
+          fi
+        else
+          echo "Error: Neither curl nor wget is available for downloading."
+          exit 1
+        fi
+      fi
+
+      # Download and verify SHA256 checksum
+      echo "Downloading SHA256 checksum..."
+      sha256_download_success=0
+      if command -v curl >/dev/null 2>&1; then
+        if curl -L -s -o "${SHA256_FILE}" "https://github.com/${GITHUB_ORG}/${GITHUB_REPO}/releases/download/${VERSION}/${SHA256_FILE}" 2>/dev/null; then
+          sha256_download_success=1
+        fi
+      elif command -v wget >/dev/null 2>&1; then
+        if wget -q -O "${SHA256_FILE}" "https://github.com/${GITHUB_ORG}/${GITHUB_REPO}/releases/download/${VERSION}/${SHA256_FILE}" 2>/dev/null; then
+          sha256_download_success=1
+        fi
+      fi
+
+      if [ $sha256_download_success -eq 1 ] && [ -f "${SHA256_FILE}" ]; then
+        expected_sha256=$(cat "${SHA256_FILE}" | cut -d' ' -f1)
+        if [ -n "$expected_sha256" ]; then
+          if ! verify_sha256 "${PACKAGE_NAME}" "${expected_sha256}"; then
+            echo "SHA256 verification failed. Removing downloaded file."
+            rm -f "${PACKAGE_NAME}" "${SHA256_FILE}"
+            exit 1
+          fi
+        else
+          echo "Warning: Could not parse SHA256 checksum from file."
+        fi
+        rm -f "${SHA256_FILE}"
+      else
+        echo "Warning: Could not download SHA256 checksum file. Skipping verification."
+      fi
 
       # Extract the binary and clean the rest.
-      tar xvf "${PACKAGE_NAME}" && \
-      mv "${PACKAGE_NAME%.tar.gz}/${BIN}" "${PWD}" && \
-      rm -r "${PACKAGE_NAME}" && \
-      rm -r "${PACKAGE_NAME%.tar.gz}" && \
-      echo "Run './${BIN} --help' to get started"
+      echo "Extracting ${PACKAGE_NAME}..."
+      if ! tar xf "${PACKAGE_NAME}"; then
+        echo "Error: Failed to extract ${PACKAGE_NAME}"
+        exit 1
+      fi
+
+      # Find the binary in the extracted directory
+      extracted_dir="${PACKAGE_NAME%.tar.gz}"
+      if [ -f "${extracted_dir}/${BIN}" ]; then
+        mv "${extracted_dir}/${BIN}" "${PWD}/"
+        rm -f "${PACKAGE_NAME}"
+        rm -rf "${extracted_dir}"
+        chmod +x "${BIN}"
+        echo "Installation completed successfully!"
+        echo "Run './${BIN} --help' to get started"
+      else
+        echo "Error: Binary ${BIN} not found in extracted archive"
+        rm -f "${PACKAGE_NAME}"
+        rm -rf "${extracted_dir}"
+        exit 1
+      fi
     fi
   fi
 }

src/api/src/error.rs

@@ -17,6 +17,7 @@ use std::any::Any;
 use common_error::ext::ErrorExt;
 use common_error::status_code::StatusCode;
 use common_macro::stack_trace_debug;
+use common_time::timestamp::TimeUnit;
 use datatypes::prelude::ConcreteDataType;
 use snafu::prelude::*;
 use snafu::Location;
@@ -66,12 +67,28 @@ pub enum Error {
         #[snafu(implicit)]
         location: Location,
     },
+
+    #[snafu(display("Invalid time unit: {time_unit}"))]
+    InvalidTimeUnit {
+        time_unit: i32,
+        #[snafu(implicit)]
+        location: Location,
+    },
+
+    #[snafu(display("Inconsistent time unit: {:?}", units))]
+    InconsistentTimeUnit {
+        units: Vec<TimeUnit>,
+        #[snafu(implicit)]
+        location: Location,
+    },
 }
 
 impl ErrorExt for Error {
     fn status_code(&self) -> StatusCode {
         match self {
-            Error::UnknownColumnDataType { .. } => StatusCode::InvalidArguments,
+            Error::UnknownColumnDataType { .. }
+            | Error::InvalidTimeUnit { .. }
+            | Error::InconsistentTimeUnit { .. } => StatusCode::InvalidArguments,
             Error::IntoColumnDataType { .. } | Error::SerializeJson { .. } => {
                 StatusCode::Unexpected
             }

src/api/src/helper.rs

@@ -12,6 +12,7 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+use std::collections::HashSet;
 use std::sync::Arc;
 
 use common_base::BitVec;
@@ -46,7 +47,7 @@ use greptime_proto::v1::{
 use paste::paste;
 use snafu::prelude::*;
 
-use crate::error::{self, Result};
+use crate::error::{self, InconsistentTimeUnitSnafu, InvalidTimeUnitSnafu, Result};
 use crate::v1::column::Values;
 use crate::v1::{Column, ColumnDataType, Value as GrpcValue};
 
@@ -291,6 +292,7 @@ impl TryFrom<ConcreteDataType> for ColumnDataTypeWrapper {
             ConcreteDataType::Vector(_) => ColumnDataType::Vector,
             ConcreteDataType::Null(_)
             | ConcreteDataType::List(_)
+            | ConcreteDataType::Struct(_)
             | ConcreteDataType::Dictionary(_)
             | ConcreteDataType::Duration(_) => {
                 return error::IntoColumnDataTypeSnafu { from: datatype }.fail()
@@ -703,6 +705,7 @@ pub fn pb_values_to_vector_ref(data_type: &ConcreteDataType, values: Values) ->
         ConcreteDataType::Vector(_) => Arc::new(BinaryVector::from_vec(values.binary_values)),
         ConcreteDataType::Null(_)
         | ConcreteDataType::List(_)
+        | ConcreteDataType::Struct(_)
         | ConcreteDataType::Dictionary(_)
         | ConcreteDataType::Duration(_)
         | ConcreteDataType::Json(_) => {
@@ -864,6 +867,7 @@ pub fn pb_values_to_values(data_type: &ConcreteDataType, values: Values) -> Vec<
         ConcreteDataType::Vector(_) => values.binary_values.into_iter().map(|v| v.into()).collect(),
         ConcreteDataType::Null(_)
         | ConcreteDataType::List(_)
+        | ConcreteDataType::Struct(_)
         | ConcreteDataType::Dictionary(_)
         | ConcreteDataType::Duration(_)
         | ConcreteDataType::Json(_) => {
@@ -1076,6 +1080,89 @@ pub fn value_to_grpc_value(value: Value) -> GrpcValue {
     }
 }
 
+pub fn from_pb_time_unit(unit: v1::TimeUnit) -> TimeUnit {
+    match unit {
+        v1::TimeUnit::Second => TimeUnit::Second,
+        v1::TimeUnit::Millisecond => TimeUnit::Millisecond,
+        v1::TimeUnit::Microsecond => TimeUnit::Microsecond,
+        v1::TimeUnit::Nanosecond => TimeUnit::Nanosecond,
+    }
+}
+
+pub fn to_pb_time_unit(unit: TimeUnit) -> v1::TimeUnit {
+    match unit {
+        TimeUnit::Second => v1::TimeUnit::Second,
+        TimeUnit::Millisecond => v1::TimeUnit::Millisecond,
+        TimeUnit::Microsecond => v1::TimeUnit::Microsecond,
+        TimeUnit::Nanosecond => v1::TimeUnit::Nanosecond,
+    }
+}
+
+pub fn from_pb_time_ranges(time_ranges: v1::TimeRanges) -> Result<Vec<(Timestamp, Timestamp)>> {
+    if time_ranges.time_ranges.is_empty() {
+        return Ok(vec![]);
+    }
+    let proto_time_unit = v1::TimeUnit::try_from(time_ranges.time_unit).map_err(|_| {
+        InvalidTimeUnitSnafu {
+            time_unit: time_ranges.time_unit,
+        }
+        .build()
+    })?;
+    let time_unit = from_pb_time_unit(proto_time_unit);
+    Ok(time_ranges
+        .time_ranges
+        .into_iter()
+        .map(|r| {
+            (
+                Timestamp::new(r.start, time_unit),
+                Timestamp::new(r.end, time_unit),
+            )
+        })
+        .collect())
+}
+
+/// All time_ranges must be of the same time unit.
+///
+/// if input `time_ranges` is empty, it will return a default `TimeRanges` with `Millisecond` as the time unit.
+pub fn to_pb_time_ranges(time_ranges: &[(Timestamp, Timestamp)]) -> Result<v1::TimeRanges> {
+    let is_same_time_unit = time_ranges.windows(2).all(|x| {
+        x[0].0.unit() == x[1].0.unit()
+            && x[0].1.unit() == x[1].1.unit()
+            && x[0].0.unit() == x[0].1.unit()
+    });
+
+    if !is_same_time_unit {
+        let all_time_units: Vec<_> = time_ranges
+            .iter()
+            .map(|(s, e)| [s.unit(), e.unit()])
+            .clone()
+            .flatten()
+            .collect::<HashSet<_>>()
+            .into_iter()
+            .collect();
+        InconsistentTimeUnitSnafu {
+            units: all_time_units,
+        }
+        .fail()?
+    }
+
+    let mut pb_time_ranges = v1::TimeRanges {
+        // default time unit is Millisecond
+        time_unit: v1::TimeUnit::Millisecond as i32,
+        time_ranges: Vec::with_capacity(time_ranges.len()),
+    };
+    if let Some((start, _end)) = time_ranges.first() {
+        pb_time_ranges.time_unit = to_pb_time_unit(start.unit()) as i32;
+    }
+    for (start, end) in time_ranges {
+        pb_time_ranges.time_ranges.push(v1::TimeRange {
+            start: start.value(),
+            end: end.value(),
+        });
+    }
+    Ok(pb_time_ranges)
+}
+
 #[cfg(test)]
 mod tests {
     use std::sync::Arc;

src/api/src/region.rs

@@ -22,6 +22,7 @@ use greptime_proto::v1::region::RegionResponse as RegionResponseV1;
 pub struct RegionResponse {
     pub affected_rows: AffectedRows,
     pub extensions: HashMap<String, Vec<u8>>,
+    pub metadata: Vec<u8>,
 }
 
 impl RegionResponse {
@@ -29,6 +30,7 @@ impl RegionResponse {
         Self {
             affected_rows: region_response.affected_rows as _,
             extensions: region_response.extensions,
+            metadata: region_response.metadata,
         }
     }
 
@@ -37,6 +39,16 @@ impl RegionResponse {
         Self {
             affected_rows,
             extensions: Default::default(),
+            metadata: Vec::new(),
+        }
+    }
+
+    /// Creates one response with metadata.
+    pub fn from_metadata(metadata: Vec<u8>) -> Self {
+        Self {
+            affected_rows: 0,
+            extensions: Default::default(),
+            metadata,
         }
     }
 }

src/api/src/v1/column_def.rs

@@ -24,7 +24,7 @@ use greptime_proto::v1::{
 };
 use snafu::ResultExt;
 
-use crate::error::{self, Result};
+use crate::error::{self, ConvertColumnDefaultConstraintSnafu, Result};
 use crate::helper::ColumnDataTypeWrapper;
 use crate::v1::{ColumnDef, ColumnOptions, SemanticType};
 
@@ -77,6 +77,48 @@ pub fn try_as_column_schema(column_def: &ColumnDef) -> Result<ColumnSchema> {
         })
 }
 
+/// Tries to construct a `ColumnDef` from the given `ColumnSchema`.
+///
+/// TODO(weny): Add tests for this function.
+pub fn try_as_column_def(column_schema: &ColumnSchema, is_primary_key: bool) -> Result<ColumnDef> {
+    let column_datatype =
+        ColumnDataTypeWrapper::try_from(column_schema.data_type.clone()).map(|w| w.to_parts())?;
+
+    let semantic_type = if column_schema.is_time_index() {
+        SemanticType::Timestamp
+    } else if is_primary_key {
+        SemanticType::Tag
+    } else {
+        SemanticType::Field
+    } as i32;
+    let comment = column_schema
+        .metadata()
+        .get(COMMENT_KEY)
+        .cloned()
+        .unwrap_or_default();
+
+    let default_constraint = match column_schema.default_constraint() {
+        None => vec![],
+        Some(v) => v
+            .clone()
+            .try_into()
+            .context(ConvertColumnDefaultConstraintSnafu {
+                column: &column_schema.name,
+            })?,
+    };
+    let options = options_from_column_schema(column_schema);
+    Ok(ColumnDef {
+        name: column_schema.name.clone(),
+        data_type: column_datatype.0 as i32,
+        is_nullable: column_schema.is_nullable(),
+        default_constraint,
+        semantic_type,
+        comment,
+        datatype_extension: column_datatype.1,
+        options,
+    })
+}
+
 /// Constructs a `ColumnOptions` from the given `ColumnSchema`.
 pub fn options_from_column_schema(column_schema: &ColumnSchema) -> Option<ColumnOptions> {
     let mut options = ColumnOptions::default();
@@ -226,18 +268,20 @@ mod tests {
         assert!(options.is_none());
 
         let mut schema = ColumnSchema::new("test", ConcreteDataType::string_datatype(), true)
-            .with_fulltext_options(FulltextOptions {
-                enable: true,
-                analyzer: FulltextAnalyzer::English,
-                case_sensitive: false,
-                backend: FulltextBackend::Bloom,
-            })
+            .with_fulltext_options(FulltextOptions::new_unchecked(
+                true,
+                FulltextAnalyzer::English,
+                false,
+                FulltextBackend::Bloom,
+                10240,
+                0.01,
+            ))
             .unwrap();
         schema.set_inverted_index(true);
         let options = options_from_column_schema(&schema).unwrap();
         assert_eq!(
             options.options.get(FULLTEXT_GRPC_KEY).unwrap(),
-            "{\"enable\":true,\"analyzer\":\"English\",\"case-sensitive\":false,\"backend\":\"bloom\"}"
+            "{\"enable\":true,\"analyzer\":\"English\",\"case-sensitive\":false,\"backend\":\"bloom\",\"granularity\":10240,\"false-positive-rate-in-10000\":100}"
         );
         assert_eq!(
             options.options.get(INVERTED_INDEX_GRPC_KEY).unwrap(),
@@ -247,16 +291,18 @@ mod tests {
 
     #[test]
     fn test_options_with_fulltext() {
-        let fulltext = FulltextOptions {
-            enable: true,
-            analyzer: FulltextAnalyzer::English,
-            case_sensitive: false,
-            backend: FulltextBackend::Bloom,
-        };
+        let fulltext = FulltextOptions::new_unchecked(
+            true,
+            FulltextAnalyzer::English,
+            false,
+            FulltextBackend::Bloom,
+            10240,
+            0.01,
+        );
         let options = options_from_fulltext(&fulltext).unwrap().unwrap();
         assert_eq!(
             options.options.get(FULLTEXT_GRPC_KEY).unwrap(),
-            "{\"enable\":true,\"analyzer\":\"English\",\"case-sensitive\":false,\"backend\":\"bloom\"}"
+            "{\"enable\":true,\"analyzer\":\"English\",\"case-sensitive\":false,\"backend\":\"bloom\",\"granularity\":10240,\"false-positive-rate-in-10000\":100}"
         );
     }
 

src/catalog/Cargo.toml

@@ -5,6 +5,7 @@ edition.workspace = true
 license.workspace = true
 
 [features]
+enterprise = []
 testing = []
 
 [lints]
@@ -17,8 +18,10 @@ arrow-schema.workspace = true
 async-stream.workspace = true
 async-trait.workspace = true
 bytes.workspace = true
+common-base.workspace = true
 common-catalog.workspace = true
 common-error.workspace = true
+common-frontend.workspace = true
 common-macro.workspace = true
 common-meta.workspace = true
 common-procedure.workspace = true
@@ -41,6 +44,8 @@ moka = { workspace = true, features = ["future", "sync"] }
 partition.workspace = true
 paste.workspace = true
 prometheus.workspace = true
+promql-parser.workspace = true
+rand.workspace = true
 rustc-hash.workspace = true
 serde_json.workspace = true
 session.workspace = true

src/catalog/src/error.rs

@@ -277,6 +277,26 @@ pub enum Error {
         #[snafu(implicit)]
         location: Location,
     },
+
+    #[snafu(display("Failed to invoke frontend services"))]
+    InvokeFrontend {
+        source: common_frontend::error::Error,
+        #[snafu(implicit)]
+        location: Location,
+    },
+
+    #[snafu(display("Meta client is not provided"))]
+    MetaClientMissing {
+        #[snafu(implicit)]
+        location: Location,
+    },
+
+    #[snafu(display("Failed to find frontend node: {}", addr))]
+    FrontendNotFound {
+        addr: String,
+        #[snafu(implicit)]
+        location: Location,
+    },
 }
 
 impl Error {
@@ -345,6 +365,10 @@ impl ErrorExt for Error {
             Error::GetViewCache { source, .. } | Error::GetTableCache { source, .. } => {
                 source.status_code()
             }
+            Error::InvokeFrontend { source, .. } => source.status_code(),
+            Error::FrontendNotFound { .. } | Error::MetaClientMissing { .. } => {
+                StatusCode::Unexpected
+            }
         }
     }
 

src/catalog/src/information_extension.rs

@@ -16,8 +16,8 @@ use api::v1::meta::ProcedureStatus;
 use common_error::ext::BoxedError;
 use common_meta::cluster::{ClusterInfo, NodeInfo};
 use common_meta::datanode::RegionStat;
-use common_meta::ddl::{ExecutorContext, ProcedureExecutor};
 use common_meta::key::flow::flow_state::FlowStat;
+use common_meta::procedure_executor::{ExecutorContext, ProcedureExecutor};
 use common_meta::rpc::procedure;
 use common_procedure::{ProcedureInfo, ProcedureState};
 use meta_client::MetaClientRef;

src/catalog/src/kvbackend.rs

@@ -14,9 +14,11 @@
 
 pub use client::{CachedKvBackend, CachedKvBackendBuilder, MetaKvBackend};
 
+mod builder;
 mod client;
 mod manager;
 mod table_cache;
 
+pub use builder::KvBackendCatalogManagerBuilder;
 pub use manager::KvBackendCatalogManager;
 pub use table_cache::{new_table_cache, TableCache, TableCacheRef};

src/catalog/src/kvbackend/builder.rs

@@ -0,0 +1,131 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::sync::Arc;
+
+use common_catalog::consts::DEFAULT_CATALOG_NAME;
+use common_meta::cache::LayeredCacheRegistryRef;
+use common_meta::key::flow::FlowMetadataManager;
+use common_meta::key::TableMetadataManager;
+use common_meta::kv_backend::KvBackendRef;
+use common_procedure::ProcedureManagerRef;
+use moka::sync::Cache;
+use partition::manager::PartitionRuleManager;
+
+#[cfg(feature = "enterprise")]
+use crate::information_schema::InformationSchemaTableFactoryRef;
+use crate::information_schema::{InformationExtensionRef, InformationSchemaProvider};
+use crate::kvbackend::manager::{SystemCatalog, CATALOG_CACHE_MAX_CAPACITY};
+use crate::kvbackend::KvBackendCatalogManager;
+use crate::process_manager::ProcessManagerRef;
+use crate::system_schema::pg_catalog::PGCatalogProvider;
+
+pub struct KvBackendCatalogManagerBuilder {
+    information_extension: InformationExtensionRef,
+    backend: KvBackendRef,
+    cache_registry: LayeredCacheRegistryRef,
+    procedure_manager: Option<ProcedureManagerRef>,
+    process_manager: Option<ProcessManagerRef>,
+    #[cfg(feature = "enterprise")]
+    extra_information_table_factories:
+        std::collections::HashMap<String, InformationSchemaTableFactoryRef>,
+}
+
+impl KvBackendCatalogManagerBuilder {
+    pub fn new(
+        information_extension: InformationExtensionRef,
+        backend: KvBackendRef,
+        cache_registry: LayeredCacheRegistryRef,
+    ) -> Self {
+        Self {
+            information_extension,
+            backend,
+            cache_registry,
+            procedure_manager: None,
+            process_manager: None,
+            #[cfg(feature = "enterprise")]
+            extra_information_table_factories: std::collections::HashMap::new(),
+        }
+    }
+
+    pub fn with_procedure_manager(mut self, procedure_manager: ProcedureManagerRef) -> Self {
+        self.procedure_manager = Some(procedure_manager);
+        self
+    }
+
+    pub fn with_process_manager(mut self, process_manager: ProcessManagerRef) -> Self {
+        self.process_manager = Some(process_manager);
+        self
+    }
+
+    /// Sets the extra information tables.
+    #[cfg(feature = "enterprise")]
+    pub fn with_extra_information_table_factories(
+        mut self,
+        factories: std::collections::HashMap<String, InformationSchemaTableFactoryRef>,
+    ) -> Self {
+        self.extra_information_table_factories = factories;
+        self
+    }
+
+    pub fn build(self) -> Arc<KvBackendCatalogManager> {
+        let Self {
+            information_extension,
+            backend,
+            cache_registry,
+            procedure_manager,
+            process_manager,
+            #[cfg(feature = "enterprise")]
+            extra_information_table_factories,
+        } = self;
+        Arc::new_cyclic(|me| KvBackendCatalogManager {
+            information_extension,
+            partition_manager: Arc::new(PartitionRuleManager::new(
+                backend.clone(),
+                cache_registry
+                    .get()
+                    .expect("Failed to get table_route_cache"),
+            )),
+            table_metadata_manager: Arc::new(TableMetadataManager::new(backend.clone())),
+            system_catalog: SystemCatalog {
+                catalog_manager: me.clone(),
+                catalog_cache: Cache::new(CATALOG_CACHE_MAX_CAPACITY),
+                pg_catalog_cache: Cache::new(CATALOG_CACHE_MAX_CAPACITY),
+                information_schema_provider: {
+                    let provider = InformationSchemaProvider::new(
+                        DEFAULT_CATALOG_NAME.to_string(),
+                        me.clone(),
+                        Arc::new(FlowMetadataManager::new(backend.clone())),
+                        process_manager.clone(),
+                        backend.clone(),
+                    );
+                    #[cfg(feature = "enterprise")]
+                    let provider = provider
+                        .with_extra_table_factories(extra_information_table_factories.clone());
+                    Arc::new(provider)
+                },
+                pg_catalog_provider: Arc::new(PGCatalogProvider::new(
+                    DEFAULT_CATALOG_NAME.to_string(),
+                    me.clone(),
+                )),
+                backend,
+                process_manager,
+                #[cfg(feature = "enterprise")]
+                extra_information_table_factories,
+            },
+            cache_registry,
+            procedure_manager,
+        })
+    }
+}

src/catalog/src/kvbackend/manager.rs

@@ -22,23 +22,27 @@ use common_catalog::consts::{
     PG_CATALOG_NAME,
 };
 use common_error::ext::BoxedError;
-use common_meta::cache::{LayeredCacheRegistryRef, ViewInfoCacheRef};
+use common_meta::cache::{
+    LayeredCacheRegistryRef, TableInfoCacheRef, TableNameCacheRef, TableRoute, TableRouteCacheRef,
+    ViewInfoCacheRef,
+};
 use common_meta::key::catalog_name::CatalogNameKey;
 use common_meta::key::flow::FlowMetadataManager;
 use common_meta::key::schema_name::SchemaNameKey;
-use common_meta::key::table_info::TableInfoValue;
+use common_meta::key::table_info::{TableInfoManager, TableInfoValue};
 use common_meta::key::table_name::TableNameKey;
-use common_meta::key::{TableMetadataManager, TableMetadataManagerRef};
+use common_meta::key::TableMetadataManagerRef;
 use common_meta::kv_backend::KvBackendRef;
 use common_procedure::ProcedureManagerRef;
 use futures_util::stream::BoxStream;
 use futures_util::{StreamExt, TryStreamExt};
 use moka::sync::Cache;
-use partition::manager::{PartitionRuleManager, PartitionRuleManagerRef};
+use partition::manager::PartitionRuleManagerRef;
 use session::context::{Channel, QueryContext};
 use snafu::prelude::*;
+use store_api::metric_engine_consts::METRIC_ENGINE_NAME;
 use table::dist_table::DistTable;
-use table::metadata::TableId;
+use table::metadata::{TableId, TableInfoRef};
 use table::table::numbers::{NumbersTable, NUMBERS_TABLE_NAME};
 use table::table_name::TableName;
 use table::TableRef;
@@ -49,8 +53,11 @@ use crate::error::{
     CacheNotFoundSnafu, GetTableCacheSnafu, InvalidTableInfoInCatalogSnafu, ListCatalogsSnafu,
     ListSchemasSnafu, ListTablesSnafu, Result, TableMetadataManagerSnafu,
 };
+#[cfg(feature = "enterprise")]
+use crate::information_schema::InformationSchemaTableFactoryRef;
 use crate::information_schema::{InformationExtensionRef, InformationSchemaProvider};
 use crate::kvbackend::TableCacheRef;
+use crate::process_manager::ProcessManagerRef;
 use crate::system_schema::pg_catalog::PGCatalogProvider;
 use crate::system_schema::SystemSchemaProvider;
 use crate::CatalogManager;
@@ -63,57 +70,22 @@ use crate::CatalogManager;
 #[derive(Clone)]
 pub struct KvBackendCatalogManager {
     /// Provides the extension methods for the `information_schema` tables
-    information_extension: InformationExtensionRef,
+    pub(super) information_extension: InformationExtensionRef,
     /// Manages partition rules.
-    partition_manager: PartitionRuleManagerRef,
+    pub(super) partition_manager: PartitionRuleManagerRef,
     /// Manages table metadata.
-    table_metadata_manager: TableMetadataManagerRef,
+    pub(super) table_metadata_manager: TableMetadataManagerRef,
     /// A sub-CatalogManager that handles system tables
-    system_catalog: SystemCatalog,
+    pub(super) system_catalog: SystemCatalog,
     /// Cache registry for all caches.
-    cache_registry: LayeredCacheRegistryRef,
+    pub(super) cache_registry: LayeredCacheRegistryRef,
     /// Only available in `Standalone` mode.
-    procedure_manager: Option<ProcedureManagerRef>,
+    pub(super) procedure_manager: Option<ProcedureManagerRef>,
 }
 
-const CATALOG_CACHE_MAX_CAPACITY: u64 = 128;
+pub(super) const CATALOG_CACHE_MAX_CAPACITY: u64 = 128;
 
 impl KvBackendCatalogManager {
-    pub fn new(
-        information_extension: InformationExtensionRef,
-        backend: KvBackendRef,
-        cache_registry: LayeredCacheRegistryRef,
-        procedure_manager: Option<ProcedureManagerRef>,
-    ) -> Arc<Self> {
-        Arc::new_cyclic(|me| Self {
-            information_extension,
-            partition_manager: Arc::new(PartitionRuleManager::new(
-                backend.clone(),
-                cache_registry
-                    .get()
-                    .expect("Failed to get table_route_cache"),
-            )),
-            table_metadata_manager: Arc::new(TableMetadataManager::new(backend.clone())),
-            system_catalog: SystemCatalog {
-                catalog_manager: me.clone(),
-                catalog_cache: Cache::new(CATALOG_CACHE_MAX_CAPACITY),
-                pg_catalog_cache: Cache::new(CATALOG_CACHE_MAX_CAPACITY),
-                information_schema_provider: Arc::new(InformationSchemaProvider::new(
-                    DEFAULT_CATALOG_NAME.to_string(),
-                    me.clone(),
-                    Arc::new(FlowMetadataManager::new(backend.clone())),
-                )),
-                pg_catalog_provider: Arc::new(PGCatalogProvider::new(
-                    DEFAULT_CATALOG_NAME.to_string(),
-                    me.clone(),
-                )),
-                backend,
-            },
-            cache_registry,
-            procedure_manager,
-        })
-    }
-
     pub fn view_info_cache(&self) -> Result<ViewInfoCacheRef> {
         self.cache_registry.get().context(CacheNotFoundSnafu {
             name: "view_info_cache",
@@ -136,6 +108,61 @@ impl KvBackendCatalogManager {
     pub fn procedure_manager(&self) -> Option<ProcedureManagerRef> {
         self.procedure_manager.clone()
     }
+
+    // Override logical table's partition key indices with physical table's.
+    async fn override_logical_table_partition_key_indices(
+        table_route_cache: &TableRouteCacheRef,
+        table_info_manager: &TableInfoManager,
+        table: TableRef,
+    ) -> Result<TableRef> {
+        // If the table is not a metric table, return the table directly.
+        if table.table_info().meta.engine != METRIC_ENGINE_NAME {
+            return Ok(table);
+        }
+
+        if let Some(table_route_value) = table_route_cache
+            .get(table.table_info().table_id())
+            .await
+            .context(TableMetadataManagerSnafu)?
+            && let TableRoute::Logical(logical_route) = &*table_route_value
+            && let Some(physical_table_info_value) = table_info_manager
+                .get(logical_route.physical_table_id())
+                .await
+                .context(TableMetadataManagerSnafu)?
+        {
+            let mut new_table_info = (*table.table_info()).clone();
+
+            // Remap partition key indices from physical table to logical table
+            new_table_info.meta.partition_key_indices = physical_table_info_value
+                .table_info
+                .meta
+                .partition_key_indices
+                .iter()
+                .filter_map(|&physical_index| {
+                    // Get the column name from the physical table using the physical index
+                    physical_table_info_value
+                        .table_info
+                        .meta
+                        .schema
+                        .column_schemas
+                        .get(physical_index)
+                        .and_then(|physical_column| {
+                            // Find the corresponding index in the logical table schema
+                            new_table_info
+                                .meta
+                                .schema
+                                .column_index_by_name(physical_column.name.as_str())
+                        })
+                })
+                .collect();
+
+            let new_table = DistTable::table(Arc::new(new_table_info));
+
+            return Ok(new_table);
+        }
+
+        Ok(table)
+    }
 }
 
 #[async_trait::async_trait]
@@ -262,16 +289,28 @@ impl CatalogManager for KvBackendCatalogManager {
         let table_cache: TableCacheRef = self.cache_registry.get().context(CacheNotFoundSnafu {
             name: "table_cache",
         })?;
-        if let Some(table) = table_cache
+
+        let table = table_cache
             .get_by_ref(&TableName {
                 catalog_name: catalog_name.to_string(),
                 schema_name: schema_name.to_string(),
                 table_name: table_name.to_string(),
             })
             .await
-            .context(GetTableCacheSnafu)?
-        {
-            return Ok(Some(table));
+            .context(GetTableCacheSnafu)?;
+
+        if let Some(table) = table {
+            let table_route_cache: TableRouteCacheRef =
+                self.cache_registry.get().context(CacheNotFoundSnafu {
+                    name: "table_route_cache",
+                })?;
+            return Self::override_logical_table_partition_key_indices(
+                &table_route_cache,
+                self.table_metadata_manager.table_info_manager(),
+                table,
+            )
+            .await
+            .map(Some);
         }
 
         if channel == Channel::Postgres {
@@ -284,7 +323,64 @@ impl CatalogManager for KvBackendCatalogManager {
             }
         }
 
-        return Ok(None);
+        Ok(None)
+    }
+
+    async fn table_id(
+        &self,
+        catalog_name: &str,
+        schema_name: &str,
+        table_name: &str,
+        query_ctx: Option<&QueryContext>,
+    ) -> Result<Option<TableId>> {
+        let channel = query_ctx.map_or(Channel::Unknown, |ctx| ctx.channel());
+        if let Some(table) =
+            self.system_catalog
+                .table(catalog_name, schema_name, table_name, query_ctx)
+        {
+            return Ok(Some(table.table_info().table_id()));
+        }
+
+        let table_cache: TableNameCacheRef =
+            self.cache_registry.get().context(CacheNotFoundSnafu {
+                name: "table_name_cache",
+            })?;
+
+        let table = table_cache
+            .get_by_ref(&TableName {
+                catalog_name: catalog_name.to_string(),
+                schema_name: schema_name.to_string(),
+                table_name: table_name.to_string(),
+            })
+            .await
+            .context(GetTableCacheSnafu)?;
+
+        if let Some(table) = table {
+            return Ok(Some(table));
+        }
+
+        if channel == Channel::Postgres {
+            // falldown to pg_catalog
+            if let Some(table) =
+                self.system_catalog
+                    .table(catalog_name, PG_CATALOG_NAME, table_name, query_ctx)
+            {
+                return Ok(Some(table.table_info().table_id()));
+            }
+        }
+
+        Ok(None)
+    }
+
+    async fn table_info_by_id(&self, table_id: TableId) -> Result<Option<TableInfoRef>> {
+        let table_info_cache: TableInfoCacheRef =
+            self.cache_registry.get().context(CacheNotFoundSnafu {
+                name: "table_info_cache",
+            })?;
+        table_info_cache
+            .get_by_ref(&table_id)
+            .await
+            .context(GetTableCacheSnafu)
     }
 
     async fn tables_by_ids(
@@ -336,8 +432,20 @@ impl CatalogManager for KvBackendCatalogManager {
         let catalog = catalog.to_string();
         let schema = schema.to_string();
         let semaphore = Arc::new(Semaphore::new(CONCURRENCY));
+        let table_route_cache: Result<TableRouteCacheRef> =
+            self.cache_registry.get().context(CacheNotFoundSnafu {
+                name: "table_route_cache",
+            });
 
         common_runtime::spawn_global(async move {
+            let table_route_cache = match table_route_cache {
+                Ok(table_route_cache) => table_route_cache,
+                Err(e) => {
+                    let _ = tx.send(Err(e)).await;
+                    return;
+                }
+            };
+
             let table_id_stream = metadata_manager
                 .table_name_manager()
                 .tables(&catalog, &schema)
@@ -364,6 +472,7 @@ impl CatalogManager for KvBackendCatalogManager {
                 let metadata_manager = metadata_manager.clone();
                 let tx = tx.clone();
                 let semaphore = semaphore.clone();
+                let table_route_cache = table_route_cache.clone();
                 common_runtime::spawn_global(async move {
                     // we don't explicitly close the semaphore so just ignore the potential error.
                     let _ = semaphore.acquire().await;
@@ -381,6 +490,16 @@ impl CatalogManager for KvBackendCatalogManager {
                     };
 
                     for table in table_info_values.into_values().map(build_table) {
+                        let table = if let Ok(table) = table {
+                            Self::override_logical_table_partition_key_indices(
+                                &table_route_cache,
+                                metadata_manager.table_info_manager(),
+                                table,
+                            )
+                            .await
+                        } else {
+                            table
+                        };
                         if tx.send(table).await.is_err() {
                             return;
                         }
@@ -410,15 +529,19 @@ fn build_table(table_info_value: TableInfoValue) -> Result<TableRef> {
 /// - information_schema.{tables}
 /// - pg_catalog.{tables}
 #[derive(Clone)]
-struct SystemCatalog {
-    catalog_manager: Weak<KvBackendCatalogManager>,
-    catalog_cache: Cache<String, Arc<InformationSchemaProvider>>,
-    pg_catalog_cache: Cache<String, Arc<PGCatalogProvider>>,
+pub(super) struct SystemCatalog {
+    pub(super) catalog_manager: Weak<KvBackendCatalogManager>,
+    pub(super) catalog_cache: Cache<String, Arc<InformationSchemaProvider>>,
+    pub(super) pg_catalog_cache: Cache<String, Arc<PGCatalogProvider>>,
 
     // system_schema_provider for default catalog
-    information_schema_provider: Arc<InformationSchemaProvider>,
-    pg_catalog_provider: Arc<PGCatalogProvider>,
-    backend: KvBackendRef,
+    pub(super) information_schema_provider: Arc<InformationSchemaProvider>,
+    pub(super) pg_catalog_provider: Arc<PGCatalogProvider>,
+    pub(super) backend: KvBackendRef,
+    pub(super) process_manager: Option<ProcessManagerRef>,
+    #[cfg(feature = "enterprise")]
+    pub(super) extra_information_table_factories:
+        std::collections::HashMap<String, InformationSchemaTableFactoryRef>,
 }
 
 impl SystemCatalog {
@@ -482,11 +605,17 @@ impl SystemCatalog {
         if schema == INFORMATION_SCHEMA_NAME {
             let information_schema_provider =
                 self.catalog_cache.get_with_by_ref(catalog, move || {
-                    Arc::new(InformationSchemaProvider::new(
+                    let provider = InformationSchemaProvider::new(
                         catalog.to_string(),
                         self.catalog_manager.clone(),
                         Arc::new(FlowMetadataManager::new(self.backend.clone())),
-                    ))
+                        self.process_manager.clone(),
+                        self.backend.clone(),
+                    );
+                    #[cfg(feature = "enterprise")]
+                    let provider = provider
+                        .with_extra_table_factories(self.extra_information_table_factories.clone());
+                    Arc::new(provider)
                 });
             information_schema_provider.table(table_name)
         } else if schema == PG_CATALOG_NAME && channel == Channel::Postgres {

src/catalog/src/lib.rs

@@ -14,6 +14,7 @@
 
 #![feature(assert_matches)]
 #![feature(try_blocks)]
+#![feature(let_chains)]
 
 use std::any::Any;
 use std::fmt::{Debug, Formatter};
@@ -24,7 +25,7 @@ use common_catalog::consts::{INFORMATION_SCHEMA_NAME, PG_CATALOG_NAME};
 use futures::future::BoxFuture;
 use futures_util::stream::BoxStream;
 use session::context::QueryContext;
-use table::metadata::TableId;
+use table::metadata::{TableId, TableInfoRef};
 use table::TableRef;
 
 use crate::error::Result;
@@ -40,6 +41,7 @@ pub mod information_schema {
     pub use crate::system_schema::information_schema::*;
 }
 
+pub mod process_manager;
 pub mod table_source;
 
 #[async_trait::async_trait]
@@ -87,6 +89,23 @@ pub trait CatalogManager: Send + Sync {
         query_ctx: Option<&QueryContext>,
     ) -> Result<Option<TableRef>>;
 
+    /// Returns the table id of provided table ident.
+    async fn table_id(
+        &self,
+        catalog: &str,
+        schema: &str,
+        table_name: &str,
+        query_ctx: Option<&QueryContext>,
+    ) -> Result<Option<TableId>> {
+        Ok(self
+            .table(catalog, schema, table_name, query_ctx)
+            .await?
+            .map(|t| t.table_info().ident.table_id))
+    }
+
+    /// Returns the table of provided id.
+    async fn table_info_by_id(&self, table_id: TableId) -> Result<Option<TableInfoRef>>;
+
     /// Returns the tables by table ids.
     async fn tables_by_ids(
         &self,

src/catalog/src/memory/manager.rs

@@ -28,7 +28,7 @@ use common_meta::kv_backend::memory::MemoryKvBackend;
 use futures_util::stream::BoxStream;
 use session::context::QueryContext;
 use snafu::OptionExt;
-use table::metadata::TableId;
+use table::metadata::{TableId, TableInfoRef};
 use table::TableRef;
 
 use crate::error::{CatalogNotFoundSnafu, Result, SchemaNotFoundSnafu, TableExistsSnafu};
@@ -144,6 +144,18 @@ impl CatalogManager for MemoryCatalogManager {
         Ok(result)
     }
 
+    async fn table_info_by_id(&self, table_id: TableId) -> Result<Option<TableInfoRef>> {
+        Ok(self
+            .catalogs
+            .read()
+            .unwrap()
+            .iter()
+            .flat_map(|(_, schema_entries)| schema_entries.values())
+            .flat_map(|tables| tables.values())
+            .find(|t| t.table_info().ident.table_id == table_id)
+            .map(|t| t.table_info()))
+    }
+
     async fn tables_by_ids(
         &self,
         catalog: &str,
@@ -352,10 +364,13 @@ impl MemoryCatalogManager {
     }
 
     fn create_catalog_entry(self: &Arc<Self>, catalog: String) -> SchemaEntries {
+        let backend = Arc::new(MemoryKvBackend::new());
         let information_schema_provider = InformationSchemaProvider::new(
             catalog,
             Arc::downgrade(self) as Weak<dyn CatalogManager>,
-            Arc::new(FlowMetadataManager::new(Arc::new(MemoryKvBackend::new()))),
+            Arc::new(FlowMetadataManager::new(backend.clone())),
+            None, // we don't need ProcessManager on regions server.
+            backend,
         );
         let information_schema = information_schema_provider.tables().clone();
 

src/catalog/src/metrics.rs

@@ -34,4 +34,20 @@ lazy_static! {
         register_histogram!("greptime_catalog_kv_get", "catalog kv get").unwrap();
     pub static ref METRIC_CATALOG_KV_BATCH_GET: Histogram =
         register_histogram!("greptime_catalog_kv_batch_get", "catalog kv batch get").unwrap();
+
+    /// Count of running process in each catalog.
+    pub static ref PROCESS_LIST_COUNT: IntGaugeVec = register_int_gauge_vec!(
+        "greptime_process_list_count",
+        "Running process count per catalog",
+        &["catalog"]
+    )
+    .unwrap();
+
+    /// Count of killed process in each catalog.
+    pub static ref PROCESS_KILL_COUNT: IntCounterVec = register_int_counter_vec!(
+        "greptime_process_kill_count",
+        "Completed kill process requests count",
+        &["catalog"]
+    )
+    .unwrap();
 }

src/catalog/src/process_manager.rs

@@ -0,0 +1,639 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::collections::hash_map::Entry;
+use std::collections::HashMap;
+use std::fmt::{Debug, Display, Formatter};
+use std::sync::atomic::{AtomicU32, Ordering};
+use std::sync::{Arc, RwLock};
+use std::time::{Duration, Instant, UNIX_EPOCH};
+
+use api::v1::frontend::{KillProcessRequest, ListProcessRequest, ProcessInfo};
+use common_base::cancellation::CancellationHandle;
+use common_frontend::selector::{FrontendSelector, MetaClientSelector};
+use common_frontend::slow_query_event::SlowQueryEvent;
+use common_telemetry::{debug, error, info, warn};
+use common_time::util::current_time_millis;
+use meta_client::MetaClientRef;
+use promql_parser::parser::EvalStmt;
+use rand::random;
+use session::context::QueryContextRef;
+use snafu::{ensure, OptionExt, ResultExt};
+use sql::statements::statement::Statement;
+use tokio::sync::mpsc::Sender;
+
+use crate::error;
+use crate::metrics::{PROCESS_KILL_COUNT, PROCESS_LIST_COUNT};
+
+pub type ProcessId = u32;
+pub type ProcessManagerRef = Arc<ProcessManager>;
+
+/// Query process manager.
+pub struct ProcessManager {
+    /// Local frontend server address,
+    server_addr: String,
+    /// Next process id for local queries.
+    next_id: AtomicU32,
+    /// Running process per catalog.
+    catalogs: RwLock<HashMap<String, HashMap<ProcessId, CancellableProcess>>>,
+    /// Frontend selector to locate frontend nodes.
+    frontend_selector: Option<MetaClientSelector>,
+}
+
+/// Represents a parsed query statement, functionally equivalent to [query::parser::QueryStatement].
+/// This enum is defined here to avoid cyclic dependencies with the query parser module.
+#[derive(Debug, Clone)]
+pub enum QueryStatement {
+    Sql(Statement),
+    Promql(EvalStmt),
+}
+
+impl Display for QueryStatement {
+    fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
+        match self {
+            QueryStatement::Sql(stmt) => write!(f, "{}", stmt),
+            QueryStatement::Promql(eval_stmt) => write!(f, "{}", eval_stmt),
+        }
+    }
+}
+
+impl ProcessManager {
+    /// Create a [ProcessManager] instance with server address and kv client.
+    pub fn new(server_addr: String, meta_client: Option<MetaClientRef>) -> Self {
+        let frontend_selector = meta_client.map(MetaClientSelector::new);
+        Self {
+            server_addr,
+            next_id: Default::default(),
+            catalogs: Default::default(),
+            frontend_selector,
+        }
+    }
+}
+
+impl ProcessManager {
+    /// Registers a submitted query. Use the provided id if present.
+    #[must_use]
+    pub fn register_query(
+        self: &Arc<Self>,
+        catalog: String,
+        schemas: Vec<String>,
+        query: String,
+        client: String,
+        query_id: Option<ProcessId>,
+        _slow_query_timer: Option<SlowQueryTimer>,
+    ) -> Ticket {
+        let id = query_id.unwrap_or_else(|| self.next_id.fetch_add(1, Ordering::Relaxed));
+        let process = ProcessInfo {
+            id,
+            catalog: catalog.clone(),
+            schemas,
+            query,
+            start_timestamp: current_time_millis(),
+            client,
+            frontend: self.server_addr.clone(),
+        };
+        let cancellation_handle = Arc::new(CancellationHandle::default());
+        let cancellable_process = CancellableProcess::new(cancellation_handle.clone(), process);
+
+        self.catalogs
+            .write()
+            .unwrap()
+            .entry(catalog.clone())
+            .or_default()
+            .insert(id, cancellable_process);
+
+        Ticket {
+            catalog,
+            manager: self.clone(),
+            id,
+            cancellation_handle,
+            _slow_query_timer,
+        }
+    }
+
+    /// Generates the next process id.
+    pub fn next_id(&self) -> u32 {
+        self.next_id.fetch_add(1, Ordering::Relaxed)
+    }
+
+    /// De-register a query from process list.
+    pub fn deregister_query(&self, catalog: String, id: ProcessId) {
+        if let Entry::Occupied(mut o) = self.catalogs.write().unwrap().entry(catalog) {
+            let process = o.get_mut().remove(&id);
+            debug!("Deregister process: {:?}", process);
+            if o.get().is_empty() {
+                o.remove();
+            }
+        }
+    }
+
+    /// List local running processes in given catalog.
+    pub fn local_processes(&self, catalog: Option<&str>) -> error::Result<Vec<ProcessInfo>> {
+        let catalogs = self.catalogs.read().unwrap();
+        let result = if let Some(catalog) = catalog {
+            if let Some(catalogs) = catalogs.get(catalog) {
+                catalogs.values().map(|p| p.process.clone()).collect()
+            } else {
+                vec![]
+            }
+        } else {
+            catalogs
+                .values()
+                .flat_map(|v| v.values().map(|p| p.process.clone()))
+                .collect()
+        };
+        Ok(result)
+    }
+
+    pub async fn list_all_processes(
+        &self,
+        catalog: Option<&str>,
+    ) -> error::Result<Vec<ProcessInfo>> {
+        let mut processes = vec![];
+        if let Some(remote_frontend_selector) = self.frontend_selector.as_ref() {
+            let frontends = remote_frontend_selector
+                .select(|node| node.peer.addr != self.server_addr)
+                .await
+                .context(error::InvokeFrontendSnafu)?;
+            for mut f in frontends {
+                let result = f
+                    .list_process(ListProcessRequest {
+                        catalog: catalog.unwrap_or_default().to_string(),
+                    })
+                    .await
+                    .context(error::InvokeFrontendSnafu);
+                match result {
+                    Ok(resp) => {
+                        processes.extend(resp.processes);
+                    }
+                    Err(e) => {
+                        warn!(e; "Skipping failing node: {:?}", f)
+                    }
+                }
+            }
+        }
+        processes.extend(self.local_processes(catalog)?);
+        Ok(processes)
+    }
+
+    /// Kills query with provided catalog and id.
+    pub async fn kill_process(
+        &self,
+        server_addr: String,
+        catalog: String,
+        id: ProcessId,
+    ) -> error::Result<bool> {
+        if server_addr == self.server_addr {
+            self.kill_local_process(catalog, id).await
+        } else {
+            let mut nodes = self
+                .frontend_selector
+                .as_ref()
+                .context(error::MetaClientMissingSnafu)?
+                .select(|node| node.peer.addr == server_addr)
+                .await
+                .context(error::InvokeFrontendSnafu)?;
+            ensure!(
+                !nodes.is_empty(),
+                error::FrontendNotFoundSnafu { addr: server_addr }
+            );
+
+            let request = KillProcessRequest {
+                server_addr,
+                catalog,
+                process_id: id,
+            };
+            nodes[0]
+                .kill_process(request)
+                .await
+                .context(error::InvokeFrontendSnafu)?;
+            Ok(true)
+        }
+    }
+
+    /// Kills local query with provided catalog and id.
+    pub async fn kill_local_process(&self, catalog: String, id: ProcessId) -> error::Result<bool> {
+        if let Some(catalogs) = self.catalogs.write().unwrap().get_mut(&catalog) {
+            if let Some(process) = catalogs.remove(&id) {
+                process.handle.cancel();
+                info!(
+                    "Killed process, catalog: {}, id: {:?}",
+                    process.process.catalog, process.process.id
+                );
+                PROCESS_KILL_COUNT.with_label_values(&[&catalog]).inc();
+                Ok(true)
+            } else {
+                debug!("Failed to kill process, id not found: {}", id);
+                Ok(false)
+            }
+        } else {
+            debug!("Failed to kill process, catalog not found: {}", catalog);
+            Ok(false)
+        }
+    }
+}
+
+pub struct Ticket {
+    pub(crate) catalog: String,
+    pub(crate) manager: ProcessManagerRef,
+    pub(crate) id: ProcessId,
+    pub cancellation_handle: Arc<CancellationHandle>,
+    _slow_query_timer: Option<SlowQueryTimer>,
+}
+
+impl Drop for Ticket {
+    fn drop(&mut self) {
+        self.manager
+            .deregister_query(std::mem::take(&mut self.catalog), self.id);
+    }
+}
+
+struct CancellableProcess {
+    handle: Arc<CancellationHandle>,
+    process: ProcessInfo,
+}
+
+impl Drop for CancellableProcess {
+    fn drop(&mut self) {
+        PROCESS_LIST_COUNT
+            .with_label_values(&[&self.process.catalog])
+            .dec();
+    }
+}
+
+impl CancellableProcess {
+    fn new(handle: Arc<CancellationHandle>, process: ProcessInfo) -> Self {
+        PROCESS_LIST_COUNT
+            .with_label_values(&[&process.catalog])
+            .inc();
+        Self { handle, process }
+    }
+}
+
+impl Debug for CancellableProcess {
+    fn fmt(&self, f: &mut Formatter<'_>) -> std::fmt::Result {
+        f.debug_struct("CancellableProcess")
+            .field("cancelled", &self.handle.is_cancelled())
+            .field("process", &self.process)
+            .finish()
+    }
+}
+
+/// SlowQueryTimer is used to log slow query when it's dropped.
+/// In drop(), it will check if the query is slow and send the slow query event to the handler.
+pub struct SlowQueryTimer {
+    start: Instant,
+    stmt: QueryStatement,
+    query_ctx: QueryContextRef,
+    threshold: Option<Duration>,
+    sample_ratio: Option<f64>,
+    tx: Sender<SlowQueryEvent>,
+}
+
+impl SlowQueryTimer {
+    pub fn new(
+        stmt: QueryStatement,
+        query_ctx: QueryContextRef,
+        threshold: Option<Duration>,
+        sample_ratio: Option<f64>,
+        tx: Sender<SlowQueryEvent>,
+    ) -> Self {
+        Self {
+            start: Instant::now(),
+            stmt,
+            query_ctx,
+            threshold,
+            sample_ratio,
+            tx,
+        }
+    }
+}
+
+impl SlowQueryTimer {
+    fn send_slow_query_event(&self, elapsed: Duration, threshold: Duration) {
+        let mut slow_query_event = SlowQueryEvent {
+            cost: elapsed.as_millis() as u64,
+            threshold: threshold.as_millis() as u64,
+            query: "".to_string(),
+            query_ctx: self.query_ctx.clone(),
+
+            // The following fields are only used for PromQL queries.
+            is_promql: false,
+            promql_range: None,
+            promql_step: None,
+            promql_start: None,
+            promql_end: None,
+        };
+
+        match &self.stmt {
+            QueryStatement::Promql(stmt) => {
+                slow_query_event.is_promql = true;
+                slow_query_event.query = stmt.expr.to_string();
+                slow_query_event.promql_step = Some(stmt.interval.as_millis() as u64);
+
+                let start = stmt
+                    .start
+                    .duration_since(UNIX_EPOCH)
+                    .unwrap_or_default()
+                    .as_millis() as i64;
+
+                let end = stmt
+                    .end
+                    .duration_since(UNIX_EPOCH)
+                    .unwrap_or_default()
+                    .as_millis() as i64;
+
+                slow_query_event.promql_range = Some((end - start) as u64);
+                slow_query_event.promql_start = Some(start);
+                slow_query_event.promql_end = Some(end);
+            }
+            QueryStatement::Sql(stmt) => {
+                slow_query_event.query = stmt.to_string();
+            }
+        }
+
+        // Send SlowQueryEvent to the handler.
+        if let Err(e) = self.tx.try_send(slow_query_event) {
+            error!(e; "Failed to send slow query event");
+        }
+    }
+}
+
+impl Drop for SlowQueryTimer {
+    fn drop(&mut self) {
+        if let Some(threshold) = self.threshold {
+            // Calculate the elaspsed duration since the timer is created.
+            let elapsed = self.start.elapsed();
+            if elapsed > threshold {
+                if let Some(ratio) = self.sample_ratio {
+                    // Only capture a portion of slow queries based on sample_ratio.
+                    // Generate a random number in [0, 1) and compare it with sample_ratio.
+                    if ratio >= 1.0 || random::<f64>() <= ratio {
+                        self.send_slow_query_event(elapsed, threshold);
+                    }
+                } else {
+                    // Captures all slow queries if sample_ratio is not set.
+                    self.send_slow_query_event(elapsed, threshold);
+                }
+            }
+        }
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use std::sync::Arc;
+
+    use crate::process_manager::ProcessManager;
+
+    #[tokio::test]
+    async fn test_register_query() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+        let ticket = process_manager.clone().register_query(
+            "public".to_string(),
+            vec!["test".to_string()],
+            "SELECT * FROM table".to_string(),
+            "".to_string(),
+            None,
+            None,
+        );
+
+        let running_processes = process_manager.local_processes(None).unwrap();
+        assert_eq!(running_processes.len(), 1);
+        assert_eq!(&running_processes[0].frontend, "127.0.0.1:8000");
+        assert_eq!(running_processes[0].id, ticket.id);
+        assert_eq!(&running_processes[0].query, "SELECT * FROM table");
+
+        drop(ticket);
+        assert_eq!(process_manager.local_processes(None).unwrap().len(), 0);
+    }
+
+    #[tokio::test]
+    async fn test_register_query_with_custom_id() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+        let custom_id = 12345;
+
+        let ticket = process_manager.clone().register_query(
+            "public".to_string(),
+            vec!["test".to_string()],
+            "SELECT * FROM table".to_string(),
+            "client1".to_string(),
+            Some(custom_id),
+            None,
+        );
+
+        assert_eq!(ticket.id, custom_id);
+
+        let running_processes = process_manager.local_processes(None).unwrap();
+        assert_eq!(running_processes.len(), 1);
+        assert_eq!(running_processes[0].id, custom_id);
+        assert_eq!(&running_processes[0].client, "client1");
+    }
+
+    #[tokio::test]
+    async fn test_multiple_queries_same_catalog() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+
+        let ticket1 = process_manager.clone().register_query(
+            "public".to_string(),
+            vec!["schema1".to_string()],
+            "SELECT * FROM table1".to_string(),
+            "client1".to_string(),
+            None,
+            None,
+        );
+
+        let ticket2 = process_manager.clone().register_query(
+            "public".to_string(),
+            vec!["schema2".to_string()],
+            "SELECT * FROM table2".to_string(),
+            "client2".to_string(),
+            None,
+            None,
+        );
+
+        let running_processes = process_manager.local_processes(Some("public")).unwrap();
+        assert_eq!(running_processes.len(), 2);
+
+        // Verify both processes are present
+        let ids: Vec<u32> = running_processes.iter().map(|p| p.id).collect();
+        assert!(ids.contains(&ticket1.id));
+        assert!(ids.contains(&ticket2.id));
+    }
+
+    #[tokio::test]
+    async fn test_multiple_catalogs() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+
+        let _ticket1 = process_manager.clone().register_query(
+            "catalog1".to_string(),
+            vec!["schema1".to_string()],
+            "SELECT * FROM table1".to_string(),
+            "client1".to_string(),
+            None,
+            None,
+        );
+
+        let _ticket2 = process_manager.clone().register_query(
+            "catalog2".to_string(),
+            vec!["schema2".to_string()],
+            "SELECT * FROM table2".to_string(),
+            "client2".to_string(),
+            None,
+            None,
+        );
+
+        // Test listing processes for specific catalog
+        let catalog1_processes = process_manager.local_processes(Some("catalog1")).unwrap();
+        assert_eq!(catalog1_processes.len(), 1);
+        assert_eq!(&catalog1_processes[0].catalog, "catalog1");
+
+        let catalog2_processes = process_manager.local_processes(Some("catalog2")).unwrap();
+        assert_eq!(catalog2_processes.len(), 1);
+        assert_eq!(&catalog2_processes[0].catalog, "catalog2");
+
+        // Test listing all processes
+        let all_processes = process_manager.local_processes(None).unwrap();
+        assert_eq!(all_processes.len(), 2);
+    }
+
+    #[tokio::test]
+    async fn test_deregister_query() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+
+        let ticket = process_manager.clone().register_query(
+            "public".to_string(),
+            vec!["test".to_string()],
+            "SELECT * FROM table".to_string(),
+            "client1".to_string(),
+            None,
+            None,
+        );
+        assert_eq!(process_manager.local_processes(None).unwrap().len(), 1);
+        process_manager.deregister_query("public".to_string(), ticket.id);
+        assert_eq!(process_manager.local_processes(None).unwrap().len(), 0);
+    }
+
+    #[tokio::test]
+    async fn test_cancellation_handle() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+
+        let ticket = process_manager.clone().register_query(
+            "public".to_string(),
+            vec!["test".to_string()],
+            "SELECT * FROM table".to_string(),
+            "client1".to_string(),
+            None,
+            None,
+        );
+
+        assert!(!ticket.cancellation_handle.is_cancelled());
+        ticket.cancellation_handle.cancel();
+        assert!(ticket.cancellation_handle.is_cancelled());
+    }
+
+    #[tokio::test]
+    async fn test_kill_local_process() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+
+        let ticket = process_manager.clone().register_query(
+            "public".to_string(),
+            vec!["test".to_string()],
+            "SELECT * FROM table".to_string(),
+            "client1".to_string(),
+            None,
+            None,
+        );
+        assert!(!ticket.cancellation_handle.is_cancelled());
+        let killed = process_manager
+            .kill_process(
+                "127.0.0.1:8000".to_string(),
+                "public".to_string(),
+                ticket.id,
+            )
+            .await
+            .unwrap();
+
+        assert!(killed);
+        assert_eq!(process_manager.local_processes(None).unwrap().len(), 0);
+    }
+
+    #[tokio::test]
+    async fn test_kill_nonexistent_process() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+        let killed = process_manager
+            .kill_process("127.0.0.1:8000".to_string(), "public".to_string(), 999)
+            .await
+            .unwrap();
+        assert!(!killed);
+    }
+
+    #[tokio::test]
+    async fn test_kill_process_nonexistent_catalog() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+        let killed = process_manager
+            .kill_process("127.0.0.1:8000".to_string(), "nonexistent".to_string(), 1)
+            .await
+            .unwrap();
+        assert!(!killed);
+    }
+
+    #[tokio::test]
+    async fn test_process_info_fields() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+
+        let _ticket = process_manager.clone().register_query(
+            "test_catalog".to_string(),
+            vec!["schema1".to_string(), "schema2".to_string()],
+            "SELECT COUNT(*) FROM users WHERE age > 18".to_string(),
+            "test_client".to_string(),
+            Some(42),
+            None,
+        );
+
+        let processes = process_manager.local_processes(None).unwrap();
+        assert_eq!(processes.len(), 1);
+
+        let process = &processes[0];
+        assert_eq!(process.id, 42);
+        assert_eq!(&process.catalog, "test_catalog");
+        assert_eq!(process.schemas, vec!["schema1", "schema2"]);
+        assert_eq!(&process.query, "SELECT COUNT(*) FROM users WHERE age > 18");
+        assert_eq!(&process.client, "test_client");
+        assert_eq!(&process.frontend, "127.0.0.1:8000");
+        assert!(process.start_timestamp > 0);
+    }
+
+    #[tokio::test]
+    async fn test_ticket_drop_deregisters_process() {
+        let process_manager = Arc::new(ProcessManager::new("127.0.0.1:8000".to_string(), None));
+
+        {
+            let _ticket = process_manager.clone().register_query(
+                "public".to_string(),
+                vec!["test".to_string()],
+                "SELECT * FROM table".to_string(),
+                "client1".to_string(),
+                None,
+                None,
+            );
+
+            // Process should be registered
+            assert_eq!(process_manager.local_processes(None).unwrap().len(), 1);
+        } // ticket goes out of scope here
+
+        // Process should be automatically deregistered
+        assert_eq!(process_manager.local_processes(None).unwrap().len(), 0);
+    }
+}

src/catalog/src/system_schema.rs

@@ -15,7 +15,7 @@
 pub mod information_schema;
 mod memory_table;
 pub mod pg_catalog;
-mod predicate;
+pub mod predicate;
 mod utils;
 
 use std::collections::HashMap;
@@ -96,7 +96,7 @@ trait SystemSchemaProviderInner {
     }
 }
 
-pub(crate) trait SystemTable {
+pub trait SystemTable {
     fn table_id(&self) -> TableId;
 
     fn table_name(&self) -> &'static str;
@@ -110,7 +110,7 @@ pub(crate) trait SystemTable {
     }
 }
 
-pub(crate) type SystemTableRef = Arc<dyn SystemTable + Send + Sync>;
+pub type SystemTableRef = Arc<dyn SystemTable + Send + Sync>;
 
 struct SystemTableDataSource {
     table: SystemTableRef,

src/catalog/src/system_schema/information_schema.rs

@@ -19,6 +19,7 @@ mod information_memory_table;
 pub mod key_column_usage;
 mod partitions;
 mod procedure_info;
+pub mod process_list;
 pub mod region_peers;
 mod region_statistics;
 mod runtime_metrics;
@@ -37,11 +38,13 @@ use common_meta::cluster::NodeInfo;
 use common_meta::datanode::RegionStat;
 use common_meta::key::flow::flow_state::FlowStat;
 use common_meta::key::flow::FlowMetadataManager;
+use common_meta::kv_backend::KvBackendRef;
 use common_procedure::ProcedureInfo;
 use common_recordbatch::SendableRecordBatchStream;
 use datatypes::schema::SchemaRef;
 use lazy_static::lazy_static;
 use paste::paste;
+use process_list::InformationSchemaProcessList;
 use store_api::storage::{ScanRequest, TableId};
 use table::metadata::TableType;
 use table::TableRef;
@@ -50,6 +53,7 @@ use views::InformationSchemaViews;
 
 use self::columns::InformationSchemaColumns;
 use crate::error::{Error, Result};
+use crate::process_manager::ProcessManagerRef;
 use crate::system_schema::information_schema::cluster_info::InformationSchemaClusterInfo;
 use crate::system_schema::information_schema::flows::InformationSchemaFlows;
 use crate::system_schema::information_schema::information_memory_table::get_schema_columns;
@@ -109,12 +113,36 @@ macro_rules! setup_memory_table {
     };
 }
 
+#[cfg(feature = "enterprise")]
+pub struct MakeInformationTableRequest {
+    pub catalog_name: String,
+    pub catalog_manager: Weak<dyn CatalogManager>,
+    pub kv_backend: KvBackendRef,
+}
+
+/// A factory trait for making information schema tables.
+///
+/// This trait allows for extensibility of the information schema by providing
+/// a way to dynamically create custom information schema tables.
+#[cfg(feature = "enterprise")]
+pub trait InformationSchemaTableFactory {
+    fn make_information_table(&self, req: MakeInformationTableRequest) -> SystemTableRef;
+}
+
+#[cfg(feature = "enterprise")]
+pub type InformationSchemaTableFactoryRef = Arc<dyn InformationSchemaTableFactory + Send + Sync>;
+
 /// The `information_schema` tables info provider.
 pub struct InformationSchemaProvider {
     catalog_name: String,
     catalog_manager: Weak<dyn CatalogManager>,
+    process_manager: Option<ProcessManagerRef>,
     flow_metadata_manager: Arc<FlowMetadataManager>,
     tables: HashMap<String, TableRef>,
+    #[allow(dead_code)]
+    kv_backend: KvBackendRef,
+    #[cfg(feature = "enterprise")]
+    extra_table_factories: HashMap<String, InformationSchemaTableFactoryRef>,
 }
 
 impl SystemSchemaProvider for InformationSchemaProvider {
@@ -124,6 +152,7 @@ impl SystemSchemaProvider for InformationSchemaProvider {
         &self.tables
     }
 }
+
 impl SystemSchemaProviderInner for InformationSchemaProvider {
     fn catalog_name(&self) -> &str {
         &self.catalog_name
@@ -133,6 +162,16 @@ impl SystemSchemaProviderInner for InformationSchemaProvider {
     }
 
     fn system_table(&self, name: &str) -> Option<SystemTableRef> {
+        #[cfg(feature = "enterprise")]
+        if let Some(factory) = self.extra_table_factories.get(name) {
+            let req = MakeInformationTableRequest {
+                catalog_name: self.catalog_name.clone(),
+                catalog_manager: self.catalog_manager.clone(),
+                kv_backend: self.kv_backend.clone(),
+            };
+            return Some(factory.make_information_table(req));
+        }
+
         match name.to_ascii_lowercase().as_str() {
             TABLES => Some(Arc::new(InformationSchemaTables::new(
                 self.catalog_name.clone(),
@@ -207,6 +246,10 @@ impl SystemSchemaProviderInner for InformationSchemaProvider {
                     self.catalog_manager.clone(),
                 ),
             ) as _),
+            PROCESS_LIST => self
+                .process_manager
+                .as_ref()
+                .map(|p| Arc::new(InformationSchemaProcessList::new(p.clone())) as _),
             _ => None,
         }
     }
@@ -217,12 +260,18 @@ impl InformationSchemaProvider {
         catalog_name: String,
         catalog_manager: Weak<dyn CatalogManager>,
         flow_metadata_manager: Arc<FlowMetadataManager>,
+        process_manager: Option<ProcessManagerRef>,
+        kv_backend: KvBackendRef,
     ) -> Self {
         let mut provider = Self {
             catalog_name,
             catalog_manager,
             flow_metadata_manager,
+            process_manager,
             tables: HashMap::new(),
+            kv_backend,
+            #[cfg(feature = "enterprise")]
+            extra_table_factories: HashMap::new(),
         };
 
         provider.build_tables();
@@ -230,6 +279,16 @@ impl InformationSchemaProvider {
         provider
     }
 
+    #[cfg(feature = "enterprise")]
+    pub(crate) fn with_extra_table_factories(
+        mut self,
+        factories: HashMap<String, InformationSchemaTableFactoryRef>,
+    ) -> Self {
+        self.extra_table_factories = factories;
+        self.build_tables();
+        self
+    }
+
     fn build_tables(&mut self) {
         let mut tables = HashMap::new();
 
@@ -277,16 +336,22 @@ impl InformationSchemaProvider {
             self.build_table(TABLE_CONSTRAINTS).unwrap(),
         );
         tables.insert(FLOWS.to_string(), self.build_table(FLOWS).unwrap());
+        if let Some(process_list) = self.build_table(PROCESS_LIST) {
+            tables.insert(PROCESS_LIST.to_string(), process_list);
+        }
+        #[cfg(feature = "enterprise")]
+        for name in self.extra_table_factories.keys() {
+            tables.insert(name.to_string(), self.build_table(name).expect(name));
+        }
         // Add memory tables
         for name in MEMORY_TABLES.iter() {
             tables.insert((*name).to_string(), self.build_table(name).expect(name));
         }
-
         self.tables = tables;
     }
 }
 
-trait InformationTable {
+pub trait InformationTable {
     fn table_id(&self) -> TableId;
 
     fn table_name(&self) -> &'static str;

src/catalog/src/system_schema/information_schema/information_memory_table.rs

@@ -15,7 +15,8 @@
 use std::sync::Arc;
 
 use common_catalog::consts::{METRIC_ENGINE, MITO_ENGINE};
-use datatypes::schema::{Schema, SchemaRef};
+use datatypes::data_type::ConcreteDataType;
+use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
 use datatypes::vectors::{Int64Vector, StringVector, VectorRef};
 
 use crate::system_schema::information_schema::table_names::*;
@@ -367,28 +368,18 @@ pub(super) fn get_schema_columns(table_name: &str) -> (SchemaRef, Vec<VectorRef>
 
         TRIGGERS => (
             vec![
-                string_column("TRIGGER_CATALOG"),
-                string_column("TRIGGER_SCHEMA"),
                 string_column("TRIGGER_NAME"),
-                string_column("EVENT_MANIPULATION"),
-                string_column("EVENT_OBJECT_CATALOG"),
-                string_column("EVENT_OBJECT_SCHEMA"),
-                string_column("EVENT_OBJECT_TABLE"),
-                bigint_column("ACTION_ORDER"),
-                string_column("ACTION_CONDITION"),
-                string_column("ACTION_STATEMENT"),
-                string_column("ACTION_ORIENTATION"),
-                string_column("ACTION_TIMING"),
-                string_column("ACTION_REFERENCE_OLD_TABLE"),
-                string_column("ACTION_REFERENCE_NEW_TABLE"),
-                string_column("ACTION_REFERENCE_OLD_ROW"),
-                string_column("ACTION_REFERENCE_NEW_ROW"),
-                timestamp_micro_column("CREATED"),
-                string_column("SQL_MODE"),
-                string_column("DEFINER"),
-                string_column("CHARACTER_SET_CLIENT"),
-                string_column("COLLATION_CONNECTION"),
-                string_column("DATABASE_COLLATION"),
+                ColumnSchema::new(
+                    "trigger_id",
+                    ConcreteDataType::uint64_datatype(),
+                    false,
+                ),
+                string_column("TRIGGER_DEFINITION"),
+                ColumnSchema::new(
+                    "flownode_id",
+                    ConcreteDataType::uint64_datatype(),
+                    true,
+                ),
             ],
             vec![],
         ),

src/catalog/src/system_schema/information_schema/partitions.rs

@@ -329,13 +329,8 @@ impl InformationSchemaPartitionsBuilder {
             self.partition_names.push(Some(&partition_name));
             self.partition_ordinal_positions
                 .push(Some((index + 1) as i64));
-            let expressions = if partition.partition.partition_columns().is_empty() {
-                None
-            } else {
-                Some(partition.partition.to_string())
-            };
-
-            self.partition_expressions.push(expressions.as_deref());
+            let expression = partition.partition_expr.as_ref().map(|e| e.to_string());
+            self.partition_expressions.push(expression.as_deref());
             self.create_times.push(Some(TimestampMicrosecond::from(
                 table_info.meta.created_on.timestamp_millis(),
             )));

src/catalog/src/system_schema/information_schema/process_list.rs

@@ -0,0 +1,189 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::sync::Arc;
+
+use common_catalog::consts::INFORMATION_SCHEMA_PROCESS_LIST_TABLE_ID;
+use common_error::ext::BoxedError;
+use common_frontend::DisplayProcessId;
+use common_recordbatch::adapter::RecordBatchStreamAdapter;
+use common_recordbatch::{RecordBatch, SendableRecordBatchStream};
+use common_time::util::current_time_millis;
+use common_time::{Duration, Timestamp};
+use datafusion::physical_plan::stream::RecordBatchStreamAdapter as DfRecordBatchStreamAdapter;
+use datatypes::prelude::ConcreteDataType as CDT;
+use datatypes::scalars::ScalarVectorBuilder;
+use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
+use datatypes::value::Value;
+use datatypes::vectors::{
+    DurationMillisecondVectorBuilder, StringVectorBuilder, TimestampMillisecondVectorBuilder,
+    VectorRef,
+};
+use snafu::ResultExt;
+use store_api::storage::{ScanRequest, TableId};
+
+use crate::error::{self, InternalSnafu};
+use crate::information_schema::Predicates;
+use crate::process_manager::ProcessManagerRef;
+use crate::system_schema::information_schema::InformationTable;
+
+/// Column names of `information_schema.process_list`
+pub const ID: &str = "id";
+pub const CATALOG: &str = "catalog";
+pub const SCHEMAS: &str = "schemas";
+pub const QUERY: &str = "query";
+pub const CLIENT: &str = "client";
+pub const FRONTEND: &str = "frontend";
+pub const START_TIMESTAMP: &str = "start_timestamp";
+pub const ELAPSED_TIME: &str = "elapsed_time";
+
+/// `information_schema.process_list` table implementation that tracks running
+/// queries in current cluster.
+pub struct InformationSchemaProcessList {
+    schema: SchemaRef,
+    process_manager: ProcessManagerRef,
+}
+
+impl InformationSchemaProcessList {
+    pub fn new(process_manager: ProcessManagerRef) -> Self {
+        Self {
+            schema: Self::schema(),
+            process_manager,
+        }
+    }
+
+    fn schema() -> SchemaRef {
+        Arc::new(Schema::new(vec![
+            ColumnSchema::new(ID, CDT::string_datatype(), false),
+            ColumnSchema::new(CATALOG, CDT::string_datatype(), false),
+            ColumnSchema::new(SCHEMAS, CDT::string_datatype(), false),
+            ColumnSchema::new(QUERY, CDT::string_datatype(), false),
+            ColumnSchema::new(CLIENT, CDT::string_datatype(), false),
+            ColumnSchema::new(FRONTEND, CDT::string_datatype(), false),
+            ColumnSchema::new(
+                START_TIMESTAMP,
+                CDT::timestamp_millisecond_datatype(),
+                false,
+            ),
+            ColumnSchema::new(ELAPSED_TIME, CDT::duration_millisecond_datatype(), false),
+        ]))
+    }
+}
+
+impl InformationTable for InformationSchemaProcessList {
+    fn table_id(&self) -> TableId {
+        INFORMATION_SCHEMA_PROCESS_LIST_TABLE_ID
+    }
+
+    fn table_name(&self) -> &'static str {
+        "process_list"
+    }
+
+    fn schema(&self) -> SchemaRef {
+        self.schema.clone()
+    }
+
+    fn to_stream(&self, request: ScanRequest) -> error::Result<SendableRecordBatchStream> {
+        let process_manager = self.process_manager.clone();
+        let stream = Box::pin(DfRecordBatchStreamAdapter::new(
+            self.schema.arrow_schema().clone(),
+            futures::stream::once(async move {
+                make_process_list(process_manager, request)
+                    .await
+                    .map(RecordBatch::into_df_record_batch)
+                    .map_err(|e| datafusion::error::DataFusionError::External(Box::new(e)))
+            }),
+        ));
+
+        Ok(Box::pin(
+            RecordBatchStreamAdapter::try_new(stream)
+                .map_err(BoxedError::new)
+                .context(InternalSnafu)?,
+        ))
+    }
+}
+
+/// Build running process list.
+async fn make_process_list(
+    process_manager: ProcessManagerRef,
+    request: ScanRequest,
+) -> error::Result<RecordBatch> {
+    let predicates = Predicates::from_scan_request(&Some(request));
+    let current_time = current_time_millis();
+    // todo(hl): find a way to extract user catalog to filter queries from other users.
+    let queries = process_manager.list_all_processes(None).await?;
+
+    let mut id_builder = StringVectorBuilder::with_capacity(queries.len());
+    let mut catalog_builder = StringVectorBuilder::with_capacity(queries.len());
+    let mut schemas_builder = StringVectorBuilder::with_capacity(queries.len());
+    let mut query_builder = StringVectorBuilder::with_capacity(queries.len());
+    let mut client_builder = StringVectorBuilder::with_capacity(queries.len());
+    let mut frontend_builder = StringVectorBuilder::with_capacity(queries.len());
+    let mut start_time_builder = TimestampMillisecondVectorBuilder::with_capacity(queries.len());
+    let mut elapsed_time_builder = DurationMillisecondVectorBuilder::with_capacity(queries.len());
+
+    for process in queries {
+        let display_id = DisplayProcessId {
+            server_addr: process.frontend.to_string(),
+            id: process.id,
+        }
+        .to_string();
+        let schemas = process.schemas.join(",");
+        let id = Value::from(display_id);
+        let catalog = Value::from(process.catalog);
+        let schemas = Value::from(schemas);
+        let query = Value::from(process.query);
+        let client = Value::from(process.client);
+        let frontend = Value::from(process.frontend);
+        let start_timestamp = Value::from(Timestamp::new_millisecond(process.start_timestamp));
+        let elapsed_time = Value::from(Duration::new_millisecond(
+            current_time - process.start_timestamp,
+        ));
+        let row = [
+            (ID, &id),
+            (CATALOG, &catalog),
+            (SCHEMAS, &schemas),
+            (QUERY, &query),
+            (CLIENT, &client),
+            (FRONTEND, &frontend),
+            (START_TIMESTAMP, &start_timestamp),
+            (ELAPSED_TIME, &elapsed_time),
+        ];
+        if predicates.eval(&row) {
+            id_builder.push(id.as_string().as_deref());
+            catalog_builder.push(catalog.as_string().as_deref());
+            schemas_builder.push(schemas.as_string().as_deref());
+            query_builder.push(query.as_string().as_deref());
+            client_builder.push(client.as_string().as_deref());
+            frontend_builder.push(frontend.as_string().as_deref());
+            start_time_builder.push(start_timestamp.as_timestamp().map(|t| t.value().into()));
+            elapsed_time_builder.push(elapsed_time.as_duration().map(|d| d.value().into()));
+        }
+    }
+
+    RecordBatch::new(
+        InformationSchemaProcessList::schema(),
+        vec![
+            Arc::new(id_builder.finish()) as VectorRef,
+            Arc::new(catalog_builder.finish()) as VectorRef,
+            Arc::new(schemas_builder.finish()) as VectorRef,
+            Arc::new(query_builder.finish()) as VectorRef,
+            Arc::new(client_builder.finish()) as VectorRef,
+            Arc::new(frontend_builder.finish()) as VectorRef,
+            Arc::new(start_time_builder.finish()) as VectorRef,
+            Arc::new(elapsed_time_builder.finish()) as VectorRef,
+        ],
+    )
+    .context(error::CreateRecordBatchSnafu)
+}

src/catalog/src/system_schema/information_schema/region_statistics.rs

@@ -44,6 +44,7 @@ const DISK_SIZE: &str = "disk_size";
 const MEMTABLE_SIZE: &str = "memtable_size";
 const MANIFEST_SIZE: &str = "manifest_size";
 const SST_SIZE: &str = "sst_size";
+const SST_NUM: &str = "sst_num";
 const INDEX_SIZE: &str = "index_size";
 const ENGINE: &str = "engine";
 const REGION_ROLE: &str = "region_role";
@@ -87,6 +88,7 @@ impl InformationSchemaRegionStatistics {
             ColumnSchema::new(MEMTABLE_SIZE, ConcreteDataType::uint64_datatype(), true),
             ColumnSchema::new(MANIFEST_SIZE, ConcreteDataType::uint64_datatype(), true),
             ColumnSchema::new(SST_SIZE, ConcreteDataType::uint64_datatype(), true),
+            ColumnSchema::new(SST_NUM, ConcreteDataType::uint64_datatype(), true),
             ColumnSchema::new(INDEX_SIZE, ConcreteDataType::uint64_datatype(), true),
             ColumnSchema::new(ENGINE, ConcreteDataType::string_datatype(), true),
             ColumnSchema::new(REGION_ROLE, ConcreteDataType::string_datatype(), true),
@@ -149,6 +151,7 @@ struct InformationSchemaRegionStatisticsBuilder {
     memtable_sizes: UInt64VectorBuilder,
     manifest_sizes: UInt64VectorBuilder,
     sst_sizes: UInt64VectorBuilder,
+    sst_nums: UInt64VectorBuilder,
     index_sizes: UInt64VectorBuilder,
     engines: StringVectorBuilder,
     region_roles: StringVectorBuilder,
@@ -167,6 +170,7 @@ impl InformationSchemaRegionStatisticsBuilder {
             memtable_sizes: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
             manifest_sizes: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
             sst_sizes: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
+            sst_nums: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
             index_sizes: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
             engines: StringVectorBuilder::with_capacity(INIT_CAPACITY),
             region_roles: StringVectorBuilder::with_capacity(INIT_CAPACITY),
@@ -197,6 +201,7 @@ impl InformationSchemaRegionStatisticsBuilder {
             (MEMTABLE_SIZE, &Value::from(region_stat.memtable_size)),
             (MANIFEST_SIZE, &Value::from(region_stat.manifest_size)),
             (SST_SIZE, &Value::from(region_stat.sst_size)),
+            (SST_NUM, &Value::from(region_stat.sst_num)),
             (INDEX_SIZE, &Value::from(region_stat.index_size)),
             (ENGINE, &Value::from(region_stat.engine.as_str())),
             (REGION_ROLE, &Value::from(region_stat.role.to_string())),
@@ -215,6 +220,7 @@ impl InformationSchemaRegionStatisticsBuilder {
         self.memtable_sizes.push(Some(region_stat.memtable_size));
         self.manifest_sizes.push(Some(region_stat.manifest_size));
         self.sst_sizes.push(Some(region_stat.sst_size));
+        self.sst_nums.push(Some(region_stat.sst_num));
         self.index_sizes.push(Some(region_stat.index_size));
         self.engines.push(Some(&region_stat.engine));
         self.region_roles.push(Some(&region_stat.role.to_string()));
@@ -230,6 +236,7 @@ impl InformationSchemaRegionStatisticsBuilder {
             Arc::new(self.memtable_sizes.finish()),
             Arc::new(self.manifest_sizes.finish()),
             Arc::new(self.sst_sizes.finish()),
+            Arc::new(self.sst_nums.finish()),
             Arc::new(self.index_sizes.finish()),
             Arc::new(self.engines.finish()),
             Arc::new(self.region_roles.finish()),

src/catalog/src/system_schema/information_schema/table_names.rs

@@ -47,3 +47,4 @@ pub const VIEWS: &str = "views";
 pub const FLOWS: &str = "flows";
 pub const PROCEDURE_INFO: &str = "procedure_info";
 pub const REGION_STATISTICS: &str = "region_statistics";
+pub const PROCESS_LIST: &str = "process_list";

src/catalog/src/system_schema/pg_catalog/pg_class.rs

@@ -169,7 +169,7 @@ impl DfPartitionStream for PGClass {
 }
 
 /// Builds the `pg_catalog.pg_class` table row by row
-/// TODO(J0HN50N133): `relowner` is always the [`DUMMY_OWNER_ID`] cuz we don't have user.
+/// TODO(J0HN50N133): `relowner` is always the [`DUMMY_OWNER_ID`] because we don't have users.
 /// Once we have user system, make it the actual owner of the table.
 struct PGClassBuilder {
     schema: SchemaRef,

src/catalog/src/table_source.rs

@@ -70,6 +70,11 @@ impl DfTableSourceProvider {
         }
     }
 
+    /// Returns the query context.
+    pub fn query_ctx(&self) -> &QueryContextRef {
+        &self.query_ctx
+    }
+
     pub fn resolve_table_ref(&self, table_ref: TableReference) -> Result<ResolvedTableReference> {
         if self.disallow_cross_catalog_query {
             match &table_ref {
@@ -207,6 +212,7 @@ mod tests {
     use session::context::QueryContext;
 
     use super::*;
+    use crate::kvbackend::KvBackendCatalogManagerBuilder;
     use crate::memory::MemoryCatalogManager;
 
     #[test]
@@ -323,12 +329,13 @@ mod tests {
             .build(),
         );
 
-        let catalog_manager = KvBackendCatalogManager::new(
+        let catalog_manager = KvBackendCatalogManagerBuilder::new(
             Arc::new(NoopInformationExtension),
             backend.clone(),
             layered_cache_registry,
-            None,
-        );
+        )
+        .build();
+
         let table_metadata_manager = TableMetadataManager::new(backend);
         let mut view_info = common_meta::key::test_utils::new_test_table_info(1024, vec![]);
         view_info.table_type = TableType::View;

src/cli/Cargo.toml

@@ -5,13 +5,18 @@ edition.workspace = true
 license.workspace = true
 
 [features]
-pg_kvbackend = ["common-meta/pg_kvbackend"]
-mysql_kvbackend = ["common-meta/mysql_kvbackend"]
+default = [
+    "pg_kvbackend",
+    "mysql_kvbackend",
+]
+pg_kvbackend = ["common-meta/pg_kvbackend", "meta-srv/pg_kvbackend"]
+mysql_kvbackend = ["common-meta/mysql_kvbackend", "meta-srv/mysql_kvbackend"]
 
 [lints]
 workspace = true
 
 [dependencies]
+async-stream.workspace = true
 async-trait.workspace = true
 auth.workspace = true
 base64.workspace = true
@@ -38,16 +43,14 @@ common-time.workspace = true
 common-version.workspace = true
 common-wal.workspace = true
 datatypes.workspace = true
-either = "1.8"
 etcd-client.workspace = true
 futures.workspace = true
 humantime.workspace = true
 meta-client.workspace = true
+meta-srv.workspace = true
 nu-ansi-term = "0.46"
-opendal = { version = "0.51.1", features = [
-    "services-fs",
-    "services-s3",
-] }
+object-store.workspace = true
+operator.workspace = true
 query.workspace = true
 rand.workspace = true
 reqwest.workspace = true
@@ -63,6 +66,7 @@ tokio.workspace = true
 tracing-appender.workspace = true
 
 [dev-dependencies]
+common-meta = { workspace = true, features = ["testing"] }
 common-version.workspace = true
 serde.workspace = true
 tempfile.workspace = true

src/cli/src/bench.rs

@@ -58,6 +58,7 @@ where
     info!("{desc}, average operation cost: {cost:.2} ms");
 }
 
+/// Command to benchmark table metadata operations.
 #[derive(Debug, Default, Parser)]
 pub struct BenchTableMetadataCommand {
     #[clap(long)]
@@ -159,6 +160,7 @@ fn create_table_info(table_id: TableId, table_name: TableName) -> RawTableInfo {
         options: Default::default(),
         region_numbers: (1..=100).collect(),
         partition_key_indices: vec![],
+        column_ids: vec![],
     };
 
     RawTableInfo {
@@ -186,6 +188,7 @@ fn create_region_routes(regions: Vec<RegionNumber>) -> Vec<RegionRoute> {
                 name: String::new(),
                 partition: None,
                 attrs: BTreeMap::new(),
+                partition_expr: Default::default(),
             },
             leader_peer: Some(Peer {
                 id: rng.random_range(0..10),

src/cli/src/data.rs

@@ -0,0 +1,39 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+mod export;
+mod import;
+
+use clap::Subcommand;
+use common_error::ext::BoxedError;
+
+use crate::data::export::ExportCommand;
+use crate::data::import::ImportCommand;
+use crate::Tool;
+
+/// Command for data operations including exporting data from and importing data into GreptimeDB.
+#[derive(Subcommand)]
+pub enum DataCommand {
+    Export(ExportCommand),
+    Import(ImportCommand),
+}
+
+impl DataCommand {
+    pub async fn build(&self) -> std::result::Result<Box<dyn Tool>, BoxedError> {
+        match self {
+            DataCommand::Export(cmd) => cmd.build().await,
+            DataCommand::Import(cmd) => cmd.build().await,
+        }
+    }
+}

src/cli/src/data/export.rs

@@ -19,10 +19,12 @@ use std::time::Duration;
 
 use async_trait::async_trait;
 use clap::{Parser, ValueEnum};
+use common_base::secrets::{ExposeSecret, SecretString};
 use common_error::ext::BoxedError;
 use common_telemetry::{debug, error, info};
-use opendal::layers::LoggingLayer;
-use opendal::{services, Operator};
+use object_store::layers::LoggingLayer;
+use object_store::services::Oss;
+use object_store::{services, ObjectStore};
 use serde_json::Value;
 use snafu::{OptionExt, ResultExt};
 use tokio::sync::Semaphore;
@@ -48,6 +50,7 @@ enum ExportTarget {
     All,
 }
 
+/// Command for exporting data from the GreptimeDB.
 #[derive(Debug, Default, Parser)]
 pub struct ExportCommand {
     /// Server address to connect
@@ -110,15 +113,15 @@ pub struct ExportCommand {
     #[clap(long)]
     s3: bool,
 
-    /// if both `s3_ddl_local_dir` and `s3` are set, `s3_ddl_local_dir` will be only used for
-    /// exported SQL files, and the data will be exported to s3.
+    /// if both `ddl_local_dir` and remote storage (s3/oss) are set, `ddl_local_dir` will be only used for
+    /// exported SQL files, and the data will be exported to remote storage.
     ///
-    /// Note that `s3_ddl_local_dir` export sql files to **LOCAL** file system, this is useful if export client don't have
-    /// direct access to s3.
+    /// Note that `ddl_local_dir` export sql files to **LOCAL** file system, this is useful if export client don't have
+    /// direct access to remote storage.
     ///
-    /// if `s3` is set but `s3_ddl_local_dir` is not set, both SQL&data will be exported to s3.
+    /// if remote storage is set but `ddl_local_dir` is not set, both SQL&data will be exported to remote storage.
     #[clap(long)]
-    s3_ddl_local_dir: Option<String>,
+    ddl_local_dir: Option<String>,
 
     /// The s3 bucket name
     /// if s3 is set, this is required
@@ -149,6 +152,30 @@ pub struct ExportCommand {
     /// if s3 is set, this is required
     #[clap(long)]
     s3_region: Option<String>,
+
+    /// if export data to oss
+    #[clap(long)]
+    oss: bool,
+
+    /// The oss bucket name
+    /// if oss is set, this is required
+    #[clap(long)]
+    oss_bucket: Option<String>,
+
+    /// The oss endpoint
+    /// if oss is set, this is required
+    #[clap(long)]
+    oss_endpoint: Option<String>,
+
+    /// The oss access key id
+    /// if oss is set, this is required
+    #[clap(long)]
+    oss_access_key_id: Option<String>,
+
+    /// The oss access key secret
+    /// if oss is set, this is required
+    #[clap(long)]
+    oss_access_key_secret: Option<String>,
 }
 
 impl ExportCommand {
@@ -162,7 +189,7 @@ impl ExportCommand {
         {
             return Err(BoxedError::new(S3ConfigNotSetSnafu {}.build()));
         }
-        if !self.s3 && self.output_dir.is_none() {
+        if !self.s3 && !self.oss && self.output_dir.is_none() {
             return Err(BoxedError::new(OutputDirNotSetSnafu {}.build()));
         }
         let (catalog, schema) =
@@ -187,13 +214,32 @@ impl ExportCommand {
             start_time: self.start_time.clone(),
             end_time: self.end_time.clone(),
             s3: self.s3,
-            s3_ddl_local_dir: self.s3_ddl_local_dir.clone(),
+            ddl_local_dir: self.ddl_local_dir.clone(),
             s3_bucket: self.s3_bucket.clone(),
             s3_root: self.s3_root.clone(),
             s3_endpoint: self.s3_endpoint.clone(),
-            s3_access_key: self.s3_access_key.clone(),
-            s3_secret_key: self.s3_secret_key.clone(),
+            // Wrap sensitive values in SecretString
+            s3_access_key: self
+                .s3_access_key
+                .as_ref()
+                .map(|k| SecretString::from(k.clone())),
+            s3_secret_key: self
+                .s3_secret_key
+                .as_ref()
+                .map(|k| SecretString::from(k.clone())),
             s3_region: self.s3_region.clone(),
+            oss: self.oss,
+            oss_bucket: self.oss_bucket.clone(),
+            oss_endpoint: self.oss_endpoint.clone(),
+            // Wrap sensitive values in SecretString
+            oss_access_key_id: self
+                .oss_access_key_id
+                .as_ref()
+                .map(|k| SecretString::from(k.clone())),
+            oss_access_key_secret: self
+                .oss_access_key_secret
+                .as_ref()
+                .map(|k| SecretString::from(k.clone())),
         }))
     }
 }
@@ -209,23 +255,30 @@ pub struct Export {
     start_time: Option<String>,
     end_time: Option<String>,
     s3: bool,
-    s3_ddl_local_dir: Option<String>,
+    ddl_local_dir: Option<String>,
     s3_bucket: Option<String>,
     s3_root: Option<String>,
     s3_endpoint: Option<String>,
-    s3_access_key: Option<String>,
-    s3_secret_key: Option<String>,
+    // Changed to SecretString for sensitive data
+    s3_access_key: Option<SecretString>,
+    s3_secret_key: Option<SecretString>,
     s3_region: Option<String>,
+    oss: bool,
+    oss_bucket: Option<String>,
+    oss_endpoint: Option<String>,
+    // Changed to SecretString for sensitive data
+    oss_access_key_id: Option<SecretString>,
+    oss_access_key_secret: Option<SecretString>,
 }
 
 impl Export {
     fn catalog_path(&self) -> PathBuf {
-        if self.s3 {
+        if self.s3 || self.oss {
             PathBuf::from(&self.catalog)
         } else if let Some(dir) = &self.output_dir {
             PathBuf::from(dir).join(&self.catalog)
         } else {
-            unreachable!("catalog_path: output_dir must be set when not using s3")
+            unreachable!("catalog_path: output_dir must be set when not using remote storage")
         }
     }
 
@@ -427,7 +480,7 @@ impl Export {
                     .await?;
 
                 // Create directory if needed for file system storage
-                if !export_self.s3 {
+                if !export_self.s3 && !export_self.oss {
                     let db_dir = format!("{}/{}/", export_self.catalog, schema);
                     operator.create_dir(&db_dir).await.context(OpenDalSnafu)?;
                 }
@@ -470,32 +523,35 @@ impl Export {
         Ok(())
     }
 
-    async fn build_operator(&self) -> Result<Operator> {
+    async fn build_operator(&self) -> Result<ObjectStore> {
         if self.s3 {
             self.build_s3_operator().await
+        } else if self.oss {
+            self.build_oss_operator().await
         } else {
             self.build_fs_operator().await
         }
     }
 
     /// build operator with preference for file system
-    async fn build_prefer_fs_operator(&self) -> Result<Operator> {
-        // is under s3 mode and s3_ddl_dir is set, use it as root
-        if self.s3 && self.s3_ddl_local_dir.is_some() {
-            let root = self.s3_ddl_local_dir.as_ref().unwrap().clone();
-            let op = Operator::new(services::Fs::default().root(&root))
+    async fn build_prefer_fs_operator(&self) -> Result<ObjectStore> {
+        if (self.s3 || self.oss) && self.ddl_local_dir.is_some() {
+            let root = self.ddl_local_dir.as_ref().unwrap().clone();
+            let op = ObjectStore::new(services::Fs::default().root(&root))
                 .context(OpenDalSnafu)?
                 .layer(LoggingLayer::default())
                 .finish();
             Ok(op)
         } else if self.s3 {
             self.build_s3_operator().await
+        } else if self.oss {
+            self.build_oss_operator().await
         } else {
             self.build_fs_operator().await
         }
     }
 
-    async fn build_s3_operator(&self) -> Result<Operator> {
+    async fn build_s3_operator(&self) -> Result<ObjectStore> {
         let mut builder = services::S3::default().bucket(
             self.s3_bucket
                 .as_ref()
@@ -515,27 +571,51 @@ impl Export {
         }
 
         if let Some(key_id) = self.s3_access_key.as_ref() {
-            builder = builder.access_key_id(key_id);
+            builder = builder.access_key_id(key_id.expose_secret());
         }
 
         if let Some(secret_key) = self.s3_secret_key.as_ref() {
-            builder = builder.secret_access_key(secret_key);
+            builder = builder.secret_access_key(secret_key.expose_secret());
         }
 
-        let op = Operator::new(builder)
+        let op = ObjectStore::new(builder)
             .context(OpenDalSnafu)?
             .layer(LoggingLayer::default())
             .finish();
         Ok(op)
     }
 
-    async fn build_fs_operator(&self) -> Result<Operator> {
+    async fn build_oss_operator(&self) -> Result<ObjectStore> {
+        let mut builder = Oss::default()
+            .bucket(self.oss_bucket.as_ref().expect("oss_bucket must be set"))
+            .endpoint(
+                self.oss_endpoint
+                    .as_ref()
+                    .expect("oss_endpoint must be set"),
+            );
+
+        // Use expose_secret() to access the actual secret value
+        if let Some(key_id) = self.oss_access_key_id.as_ref() {
+            builder = builder.access_key_id(key_id.expose_secret());
+        }
+        if let Some(secret_key) = self.oss_access_key_secret.as_ref() {
+            builder = builder.access_key_secret(secret_key.expose_secret());
+        }
+
+        let op = ObjectStore::new(builder)
+            .context(OpenDalSnafu)?
+            .layer(LoggingLayer::default())
+            .finish();
+        Ok(op)
+    }
+
+    async fn build_fs_operator(&self) -> Result<ObjectStore> {
         let root = self
             .output_dir
             .as_ref()
             .context(OutputDirNotSetSnafu)?
             .clone();
-        let op = Operator::new(services::Fs::default().root(&root))
+        let op = ObjectStore::new(services::Fs::default().root(&root))
             .context(OpenDalSnafu)?
             .layer(LoggingLayer::default())
             .finish();
@@ -562,8 +642,8 @@ impl Export {
             tasks.push(async move {
                 let _permit = semaphore_moved.acquire().await.unwrap();
 
-                // Create directory if not using S3
-                if !export_self.s3 {
+                // Create directory if not using remote storage
+                if !export_self.s3 && !export_self.oss {
                     let db_dir = format!("{}/{}/", export_self.catalog, schema);
                     operator.create_dir(&db_dir).await.context(OpenDalSnafu)?;
                 }
@@ -575,7 +655,11 @@ impl Export {
                     r#"COPY DATABASE "{}"."{}" TO '{}' WITH ({}){};"#,
                     export_self.catalog, schema, path, with_options_clone, connection_part
                 );
-                info!("Executing sql: {sql}");
+
+                // Log SQL command but mask sensitive information
+                let safe_sql = export_self.mask_sensitive_sql(&sql);
+                info!("Executing sql: {}", safe_sql);
+
                 export_self.database_client.sql_in_public(&sql).await?;
                 info!(
                     "Finished exporting {}.{} data to {}",
@@ -615,6 +699,29 @@ impl Export {
         Ok(())
     }
 
+    /// Mask sensitive information in SQL commands for safe logging
+    fn mask_sensitive_sql(&self, sql: &str) -> String {
+        let mut masked_sql = sql.to_string();
+
+        // Mask S3 credentials
+        if let Some(access_key) = &self.s3_access_key {
+            masked_sql = masked_sql.replace(access_key.expose_secret(), "[REDACTED]");
+        }
+        if let Some(secret_key) = &self.s3_secret_key {
+            masked_sql = masked_sql.replace(secret_key.expose_secret(), "[REDACTED]");
+        }
+
+        // Mask OSS credentials
+        if let Some(access_key_id) = &self.oss_access_key_id {
+            masked_sql = masked_sql.replace(access_key_id.expose_secret(), "[REDACTED]");
+        }
+        if let Some(access_key_secret) = &self.oss_access_key_secret {
+            masked_sql = masked_sql.replace(access_key_secret.expose_secret(), "[REDACTED]");
+        }
+
+        masked_sql
+    }
+
     fn get_file_path(&self, schema: &str, file_name: &str) -> String {
         format!("{}/{}/{}", self.catalog, schema, file_name)
     }
@@ -631,6 +738,13 @@ impl Export {
                 },
                 file_path
             )
+        } else if self.oss {
+            format!(
+                "oss://{}/{}/{}",
+                self.oss_bucket.as_ref().unwrap_or(&String::new()),
+                self.catalog,
+                file_path
+            )
         } else {
             format!(
                 "{}/{}",
@@ -642,11 +756,14 @@ impl Export {
 
     async fn write_to_storage(
         &self,
-        op: &Operator,
+        op: &ObjectStore,
         file_path: &str,
         content: Vec<u8>,
     ) -> Result<()> {
-        op.write(file_path, content).await.context(OpenDalSnafu)
+        op.write(file_path, content)
+            .await
+            .context(OpenDalSnafu)
+            .map(|_| ())
     }
 
     fn get_storage_params(&self, schema: &str) -> (String, String) {
@@ -672,15 +789,36 @@ impl Export {
             };
 
             // Safety: All s3 options are required
+            // Use expose_secret() to access the actual secret values
             let connection_options = format!(
                 "ACCESS_KEY_ID='{}', SECRET_ACCESS_KEY='{}', REGION='{}'{}",
-                self.s3_access_key.as_ref().unwrap(),
-                self.s3_secret_key.as_ref().unwrap(),
+                self.s3_access_key.as_ref().unwrap().expose_secret(),
+                self.s3_secret_key.as_ref().unwrap().expose_secret(),
                 self.s3_region.as_ref().unwrap(),
                 endpoint_option
             );
 
             (s3_path, format!(" CONNECTION ({})", connection_options))
+        } else if self.oss {
+            let oss_path = format!(
+                "oss://{}/{}/{}/",
+                self.oss_bucket.as_ref().unwrap(),
+                self.catalog,
+                schema
+            );
+            let endpoint_option = if let Some(endpoint) = self.oss_endpoint.as_ref() {
+                format!(", ENDPOINT='{}'", endpoint)
+            } else {
+                String::new()
+            };
+
+            let connection_options = format!(
+                "ACCESS_KEY_ID='{}', ACCESS_KEY_SECRET='{}'{}",
+                self.oss_access_key_id.as_ref().unwrap().expose_secret(),
+                self.oss_access_key_secret.as_ref().unwrap().expose_secret(),
+                endpoint_option
+            );
+            (oss_path, format!(" CONNECTION ({})", connection_options))
         } else {
             (
                 self.catalog_path()

src/cli/src/data/import.rs

@@ -40,6 +40,7 @@ enum ImportTarget {
     All,
 }
 
+/// Command to import data from a directory into a GreptimeDB instance.
 #[derive(Debug, Default, Parser)]
 pub struct ImportCommand {
     /// Server address to connect

src/cli/src/error.rs

@@ -17,7 +17,10 @@ use std::any::Any;
 use common_error::ext::{BoxedError, ErrorExt};
 use common_error::status_code::StatusCode;
 use common_macro::stack_trace_debug;
+use common_meta::peer::Peer;
+use object_store::Error as ObjectStoreError;
 use snafu::{Location, Snafu};
+use store_api::storage::TableId;
 
 #[derive(Snafu)]
 #[snafu(visibility(pub))]
@@ -29,6 +32,7 @@ pub enum Error {
         location: Location,
         msg: String,
     },
+
     #[snafu(display("Failed to create default catalog and schema"))]
     InitMetadata {
         #[snafu(implicit)]
@@ -71,6 +75,20 @@ pub enum Error {
         source: common_meta::error::Error,
     },
 
+    #[snafu(display("Failed to get table metadata"))]
+    TableMetadata {
+        #[snafu(implicit)]
+        location: Location,
+        source: common_meta::error::Error,
+    },
+
+    #[snafu(display("Unexpected error: {}", msg))]
+    Unexpected {
+        msg: String,
+        #[snafu(implicit)]
+        location: Location,
+    },
+
     #[snafu(display("Missing config, msg: {}", msg))]
     MissingConfig {
         msg: String,
@@ -220,23 +238,81 @@ pub enum Error {
         location: Location,
     },
 
+    #[snafu(display("Table not found: {table_id}"))]
+    TableNotFound {
+        table_id: TableId,
+        #[snafu(implicit)]
+        location: Location,
+    },
+
     #[snafu(display("OpenDAL operator failed"))]
     OpenDal {
         #[snafu(implicit)]
         location: Location,
         #[snafu(source)]
-        error: opendal::Error,
+        error: ObjectStoreError,
     },
+
     #[snafu(display("S3 config need be set"))]
     S3ConfigNotSet {
         #[snafu(implicit)]
         location: Location,
     },
+
     #[snafu(display("Output directory not set"))]
     OutputDirNotSet {
         #[snafu(implicit)]
         location: Location,
     },
+
+    #[snafu(display("Empty store addresses"))]
+    EmptyStoreAddrs {
+        #[snafu(implicit)]
+        location: Location,
+    },
+
+    #[snafu(display("Unsupported memory backend"))]
+    UnsupportedMemoryBackend {
+        #[snafu(implicit)]
+        location: Location,
+    },
+
+    #[snafu(display("File path invalid: {}", msg))]
+    InvalidFilePath {
+        msg: String,
+        #[snafu(implicit)]
+        location: Location,
+    },
+
+    #[snafu(display("Invalid arguments: {}", msg))]
+    InvalidArguments {
+        msg: String,
+        #[snafu(implicit)]
+        location: Location,
+    },
+
+    #[snafu(display("Failed to init backend"))]
+    InitBackend {
+        #[snafu(implicit)]
+        location: Location,
+        #[snafu(source)]
+        error: ObjectStoreError,
+    },
+
+    #[snafu(display("Covert column schemas to defs failed"))]
+    CovertColumnSchemasToDefs {
+        #[snafu(implicit)]
+        location: Location,
+        source: operator::error::Error,
+    },
+
+    #[snafu(display("Failed to send request to datanode: {}", peer))]
+    SendRequestToDatanode {
+        peer: Peer,
+        #[snafu(implicit)]
+        location: Location,
+        source: common_meta::error::Error,
+    },
 }
 
 pub type Result<T> = std::result::Result<T, Error>;
@@ -244,9 +320,9 @@ pub type Result<T> = std::result::Result<T, Error>;
 impl ErrorExt for Error {
     fn status_code(&self) -> StatusCode {
         match self {
-            Error::InitMetadata { source, .. } | Error::InitDdlManager { source, .. } => {
-                source.status_code()
-            }
+            Error::InitMetadata { source, .. }
+            | Error::InitDdlManager { source, .. }
+            | Error::TableMetadata { source, .. } => source.status_code(),
 
             Error::MissingConfig { .. }
             | Error::LoadLayeredConfig { .. }
@@ -255,8 +331,14 @@ impl ErrorExt for Error {
             | Error::ConnectEtcd { .. }
             | Error::CreateDir { .. }
             | Error::EmptyResult { .. }
+            | Error::InvalidFilePath { .. }
+            | Error::UnsupportedMemoryBackend { .. }
+            | Error::InvalidArguments { .. }
             | Error::ParseProxyOpts { .. } => StatusCode::InvalidArguments,
 
+            Error::CovertColumnSchemasToDefs { source, .. } => source.status_code(),
+            Error::SendRequestToDatanode { source, .. } => source.status_code(),
+
             Error::StartProcedureManager { source, .. }
             | Error::StopProcedureManager { source, .. } => source.status_code(),
             Error::StartWalOptionsAllocator { source, .. } => source.status_code(),
@@ -264,6 +346,7 @@ impl ErrorExt for Error {
             Error::ParseSql { source, .. } | Error::PlanStatement { source, .. } => {
                 source.status_code()
             }
+            Error::Unexpected { .. } => StatusCode::Unexpected,
 
             Error::SerdeJson { .. }
             | Error::FileIo { .. }
@@ -272,14 +355,16 @@ impl ErrorExt for Error {
             | Error::BuildClient { .. } => StatusCode::Unexpected,
 
             Error::Other { source, .. } => source.status_code(),
-            Error::OpenDal { .. } => StatusCode::Internal,
-            Error::S3ConfigNotSet { .. } => StatusCode::InvalidArguments,
-            Error::OutputDirNotSet { .. } => StatusCode::InvalidArguments,
+            Error::OpenDal { .. } | Error::InitBackend { .. } => StatusCode::Internal,
+            Error::S3ConfigNotSet { .. }
+            | Error::OutputDirNotSet { .. }
+            | Error::EmptyStoreAddrs { .. } => StatusCode::InvalidArguments,
 
             Error::BuildRuntime { source, .. } => source.status_code(),
 
             Error::CacheRequired { .. } | Error::BuildCacheRegistry { .. } => StatusCode::Internal,
             Error::MetaClientInit { source, .. } => source.status_code(),
+            Error::TableNotFound { .. } => StatusCode::TableNotFound,
             Error::SchemaNotFound { .. } => StatusCode::DatabaseNotFound,
         }
     }

src/cli/src/lib.rs

@@ -12,11 +12,12 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
+#![allow(clippy::print_stdout)]
 mod bench;
+mod data;
 mod database;
 pub mod error;
-mod export;
-mod import;
+mod metadata;
 
 use async_trait::async_trait;
 use clap::Parser;
@@ -25,8 +26,8 @@ pub use database::DatabaseClient;
 use error::Result;
 
 pub use crate::bench::BenchTableMetadataCommand;
-pub use crate::export::ExportCommand;
-pub use crate::import::ImportCommand;
+pub use crate::data::DataCommand;
+pub use crate::metadata::MetadataCommand;
 
 #[async_trait]
 pub trait Tool: Send + Sync {

src/cli/src/metadata.rs

@@ -0,0 +1,52 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+mod common;
+mod control;
+mod repair;
+mod snapshot;
+mod utils;
+
+use clap::Subcommand;
+use common_error::ext::BoxedError;
+
+use crate::metadata::control::{DelCommand, GetCommand};
+use crate::metadata::repair::RepairLogicalTablesCommand;
+use crate::metadata::snapshot::SnapshotCommand;
+use crate::Tool;
+
+/// Command for managing metadata operations,
+/// including saving and restoring metadata snapshots,
+/// controlling metadata operations, and diagnosing and repairing metadata.
+#[derive(Subcommand)]
+pub enum MetadataCommand {
+    #[clap(subcommand)]
+    Snapshot(SnapshotCommand),
+    #[clap(subcommand)]
+    Get(GetCommand),
+    #[clap(subcommand)]
+    Del(DelCommand),
+    RepairLogicalTables(RepairLogicalTablesCommand),
+}
+
+impl MetadataCommand {
+    pub async fn build(&self) -> Result<Box<dyn Tool>, BoxedError> {
+        match self {
+            MetadataCommand::Snapshot(cmd) => cmd.build().await,
+            MetadataCommand::RepairLogicalTables(cmd) => cmd.build().await,
+            MetadataCommand::Get(cmd) => cmd.build().await,
+            MetadataCommand::Del(cmd) => cmd.build().await,
+        }
+    }
+}

src/cli/src/metadata/common.rs

@@ -0,0 +1,116 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::sync::Arc;
+
+use clap::Parser;
+use common_error::ext::BoxedError;
+use common_meta::kv_backend::chroot::ChrootKvBackend;
+use common_meta::kv_backend::etcd::EtcdStore;
+use common_meta::kv_backend::KvBackendRef;
+use meta_srv::bootstrap::create_etcd_client;
+use meta_srv::metasrv::BackendImpl;
+
+use crate::error::{EmptyStoreAddrsSnafu, UnsupportedMemoryBackendSnafu};
+
+#[derive(Debug, Default, Parser)]
+pub(crate) struct StoreConfig {
+    /// The endpoint of store. one of etcd, postgres or mysql.
+    ///
+    /// For postgres store, the format is:
+    /// "password=password dbname=postgres user=postgres host=localhost port=5432"
+    ///
+    /// For etcd store, the format is:
+    /// "127.0.0.1:2379"
+    ///
+    /// For mysql store, the format is:
+    /// "mysql://user:password@ip:port/dbname"
+    #[clap(long, alias = "store-addr", value_delimiter = ',', num_args = 1..)]
+    store_addrs: Vec<String>,
+
+    /// The maximum number of operations in a transaction. Only used when using [etcd-store].
+    #[clap(long, default_value = "128")]
+    max_txn_ops: usize,
+
+    /// The metadata store backend.
+    #[clap(long, value_enum, default_value = "etcd-store")]
+    backend: BackendImpl,
+
+    /// The key prefix of the metadata store.
+    #[clap(long, default_value = "")]
+    store_key_prefix: String,
+
+    /// The table name in RDS to store metadata. Only used when using [postgres-store] or [mysql-store].
+    #[cfg(any(feature = "pg_kvbackend", feature = "mysql_kvbackend"))]
+    #[clap(long, default_value = common_meta::kv_backend::DEFAULT_META_TABLE_NAME)]
+    meta_table_name: String,
+}
+
+impl StoreConfig {
+    /// Builds a [`KvBackendRef`] from the store configuration.
+    pub async fn build(&self) -> Result<KvBackendRef, BoxedError> {
+        let max_txn_ops = self.max_txn_ops;
+        let store_addrs = &self.store_addrs;
+        if store_addrs.is_empty() {
+            EmptyStoreAddrsSnafu.fail().map_err(BoxedError::new)
+        } else {
+            let kvbackend = match self.backend {
+                BackendImpl::EtcdStore => {
+                    let etcd_client = create_etcd_client(store_addrs)
+                        .await
+                        .map_err(BoxedError::new)?;
+                    Ok(EtcdStore::with_etcd_client(etcd_client, max_txn_ops))
+                }
+                #[cfg(feature = "pg_kvbackend")]
+                BackendImpl::PostgresStore => {
+                    let table_name = &self.meta_table_name;
+                    let pool = meta_srv::bootstrap::create_postgres_pool(store_addrs, None)
+                        .await
+                        .map_err(BoxedError::new)?;
+                    Ok(common_meta::kv_backend::rds::PgStore::with_pg_pool(
+                        pool,
+                        table_name,
+                        max_txn_ops,
+                    )
+                    .await
+                    .map_err(BoxedError::new)?)
+                }
+                #[cfg(feature = "mysql_kvbackend")]
+                BackendImpl::MysqlStore => {
+                    let table_name = &self.meta_table_name;
+                    let pool = meta_srv::bootstrap::create_mysql_pool(store_addrs)
+                        .await
+                        .map_err(BoxedError::new)?;
+                    Ok(common_meta::kv_backend::rds::MySqlStore::with_mysql_pool(
+                        pool,
+                        table_name,
+                        max_txn_ops,
+                    )
+                    .await
+                    .map_err(BoxedError::new)?)
+                }
+                BackendImpl::MemoryStore => UnsupportedMemoryBackendSnafu
+                    .fail()
+                    .map_err(BoxedError::new),
+            };
+            if self.store_key_prefix.is_empty() {
+                kvbackend
+            } else {
+                let chroot_kvbackend =
+                    ChrootKvBackend::new(self.store_key_prefix.as_bytes().to_vec(), kvbackend?);
+                Ok(Arc::new(chroot_kvbackend))
+            }
+        }
+    }
+}

src/cli/src/metadata/control.rs

@@ -12,11 +12,11 @@
 // See the License for the specific language governing permissions and
 // limitations under the License.
 
-mod geo_path;
-mod hll;
-mod uddsketch_state;
+mod del;
+mod get;
+#[cfg(test)]
+mod test_utils;
+mod utils;
 
-pub use geo_path::{GeoPathAccumulator, GEO_PATH_NAME};
-pub(crate) use hll::HllStateType;
-pub use hll::{HllState, HLL_MERGE_NAME, HLL_NAME};
-pub use uddsketch_state::{UddSketchState, UDDSKETCH_MERGE_NAME, UDDSKETCH_STATE_NAME};
+pub(crate) use del::DelCommand;
+pub(crate) use get::GetCommand;

src/cli/src/metadata/control/del.rs

@@ -0,0 +1,42 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+mod key;
+mod table;
+
+use clap::Subcommand;
+use common_error::ext::BoxedError;
+
+use crate::metadata::control::del::key::DelKeyCommand;
+use crate::metadata::control::del::table::DelTableCommand;
+use crate::Tool;
+
+/// The prefix of the tombstone keys.
+pub(crate) const CLI_TOMBSTONE_PREFIX: &str = "__cli_tombstone/";
+
+/// Subcommand for deleting metadata from the metadata store.
+#[derive(Subcommand)]
+pub enum DelCommand {
+    Key(DelKeyCommand),
+    Table(DelTableCommand),
+}
+
+impl DelCommand {
+    pub async fn build(&self) -> Result<Box<dyn Tool>, BoxedError> {
+        match self {
+            DelCommand::Key(cmd) => cmd.build().await,
+            DelCommand::Table(cmd) => cmd.build().await,
+        }
+    }
+}

src/cli/src/metadata/control/del/key.rs

@@ -0,0 +1,132 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use async_trait::async_trait;
+use clap::Parser;
+use common_error::ext::BoxedError;
+use common_meta::key::tombstone::TombstoneManager;
+use common_meta::kv_backend::KvBackendRef;
+use common_meta::rpc::store::RangeRequest;
+
+use crate::metadata::common::StoreConfig;
+use crate::metadata::control::del::CLI_TOMBSTONE_PREFIX;
+use crate::Tool;
+
+/// Delete key-value pairs logically from the metadata store.
+#[derive(Debug, Default, Parser)]
+pub struct DelKeyCommand {
+    /// The key to delete from the metadata store.
+    key: String,
+
+    /// Delete key-value pairs with the given prefix.
+    #[clap(long)]
+    prefix: bool,
+
+    #[clap(flatten)]
+    store: StoreConfig,
+}
+
+impl DelKeyCommand {
+    pub async fn build(&self) -> Result<Box<dyn Tool>, BoxedError> {
+        let kv_backend = self.store.build().await?;
+        Ok(Box::new(DelKeyTool {
+            key: self.key.to_string(),
+            prefix: self.prefix,
+            key_deleter: KeyDeleter::new(kv_backend),
+        }))
+    }
+}
+
+struct KeyDeleter {
+    kv_backend: KvBackendRef,
+    tombstone_manager: TombstoneManager,
+}
+
+impl KeyDeleter {
+    fn new(kv_backend: KvBackendRef) -> Self {
+        Self {
+            kv_backend: kv_backend.clone(),
+            tombstone_manager: TombstoneManager::new_with_prefix(kv_backend, CLI_TOMBSTONE_PREFIX),
+        }
+    }
+
+    async fn delete(&self, key: &str, prefix: bool) -> Result<usize, BoxedError> {
+        let mut req = RangeRequest::default().with_keys_only();
+        if prefix {
+            req = req.with_prefix(key.as_bytes());
+        } else {
+            req = req.with_key(key.as_bytes());
+        }
+        let resp = self.kv_backend.range(req).await.map_err(BoxedError::new)?;
+        let keys = resp.kvs.iter().map(|kv| kv.key.clone()).collect::<Vec<_>>();
+        self.tombstone_manager
+            .create(keys)
+            .await
+            .map_err(BoxedError::new)
+    }
+}
+
+struct DelKeyTool {
+    key: String,
+    prefix: bool,
+    key_deleter: KeyDeleter,
+}
+
+#[async_trait]
+impl Tool for DelKeyTool {
+    async fn do_work(&self) -> Result<(), BoxedError> {
+        let deleted = self.key_deleter.delete(&self.key, self.prefix).await?;
+        // Print the number of deleted keys.
+        println!("{}", deleted);
+        Ok(())
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use std::sync::Arc;
+
+    use common_meta::kv_backend::chroot::ChrootKvBackend;
+    use common_meta::kv_backend::memory::MemoryKvBackend;
+    use common_meta::kv_backend::{KvBackend, KvBackendRef};
+    use common_meta::rpc::store::RangeRequest;
+
+    use crate::metadata::control::del::key::KeyDeleter;
+    use crate::metadata::control::del::CLI_TOMBSTONE_PREFIX;
+    use crate::metadata::control::test_utils::put_key;
+
+    #[tokio::test]
+    async fn test_delete_keys() {
+        let kv_backend = Arc::new(MemoryKvBackend::new()) as KvBackendRef;
+        let key_deleter = KeyDeleter::new(kv_backend.clone());
+        put_key(&kv_backend, "foo", "bar").await;
+        put_key(&kv_backend, "foo/bar", "baz").await;
+        put_key(&kv_backend, "foo/baz", "qux").await;
+        let deleted = key_deleter.delete("foo", true).await.unwrap();
+        assert_eq!(deleted, 3);
+        let deleted = key_deleter.delete("foo/bar", false).await.unwrap();
+        assert_eq!(deleted, 0);
+
+        let chroot = ChrootKvBackend::new(CLI_TOMBSTONE_PREFIX.as_bytes().to_vec(), kv_backend);
+        let req = RangeRequest::default().with_prefix(b"foo");
+        let resp = chroot.range(req).await.unwrap();
+        assert_eq!(resp.kvs.len(), 3);
+        assert_eq!(resp.kvs[0].key, b"foo");
+        assert_eq!(resp.kvs[0].value, b"bar");
+        assert_eq!(resp.kvs[1].key, b"foo/bar");
+        assert_eq!(resp.kvs[1].value, b"baz");
+        assert_eq!(resp.kvs[2].key, b"foo/baz");
+        assert_eq!(resp.kvs[2].value, b"qux");
+    }
+}

src/cli/src/metadata/control/del/table.rs

@@ -0,0 +1,235 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use async_trait::async_trait;
+use clap::Parser;
+use client::{DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME};
+use common_catalog::format_full_table_name;
+use common_error::ext::BoxedError;
+use common_meta::ddl::utils::get_region_wal_options;
+use common_meta::key::table_name::TableNameManager;
+use common_meta::key::TableMetadataManager;
+use common_meta::kv_backend::KvBackendRef;
+use store_api::storage::TableId;
+
+use crate::error::{InvalidArgumentsSnafu, TableNotFoundSnafu};
+use crate::metadata::common::StoreConfig;
+use crate::metadata::control::del::CLI_TOMBSTONE_PREFIX;
+use crate::metadata::control::utils::get_table_id_by_name;
+use crate::Tool;
+
+/// Delete table metadata logically from the metadata store.
+#[derive(Debug, Default, Parser)]
+pub struct DelTableCommand {
+    /// The table id to delete from the metadata store.
+    #[clap(long)]
+    table_id: Option<u32>,
+
+    /// The table name to delete from the metadata store.
+    #[clap(long)]
+    table_name: Option<String>,
+
+    /// The schema name of the table.
+    #[clap(long, default_value = DEFAULT_SCHEMA_NAME)]
+    schema_name: String,
+
+    /// The catalog name of the table.
+    #[clap(long, default_value = DEFAULT_CATALOG_NAME)]
+    catalog_name: String,
+
+    #[clap(flatten)]
+    store: StoreConfig,
+}
+
+impl DelTableCommand {
+    fn validate(&self) -> Result<(), BoxedError> {
+        if matches!(
+            (&self.table_id, &self.table_name),
+            (Some(_), Some(_)) | (None, None)
+        ) {
+            return Err(BoxedError::new(
+                InvalidArgumentsSnafu {
+                    msg: "You must specify either --table-id or --table-name.",
+                }
+                .build(),
+            ));
+        }
+        Ok(())
+    }
+}
+
+impl DelTableCommand {
+    pub async fn build(&self) -> Result<Box<dyn Tool>, BoxedError> {
+        self.validate()?;
+        let kv_backend = self.store.build().await?;
+        Ok(Box::new(DelTableTool {
+            table_id: self.table_id,
+            table_name: self.table_name.clone(),
+            schema_name: self.schema_name.clone(),
+            catalog_name: self.catalog_name.clone(),
+            table_name_manager: TableNameManager::new(kv_backend.clone()),
+            table_metadata_deleter: TableMetadataDeleter::new(kv_backend),
+        }))
+    }
+}
+
+struct DelTableTool {
+    table_id: Option<u32>,
+    table_name: Option<String>,
+    schema_name: String,
+    catalog_name: String,
+    table_name_manager: TableNameManager,
+    table_metadata_deleter: TableMetadataDeleter,
+}
+
+#[async_trait]
+impl Tool for DelTableTool {
+    async fn do_work(&self) -> Result<(), BoxedError> {
+        let table_id = if let Some(table_name) = &self.table_name {
+            let catalog_name = &self.catalog_name;
+            let schema_name = &self.schema_name;
+
+            let Some(table_id) = get_table_id_by_name(
+                &self.table_name_manager,
+                catalog_name,
+                schema_name,
+                table_name,
+            )
+            .await?
+            else {
+                println!(
+                    "Table({}) not found",
+                    format_full_table_name(catalog_name, schema_name, table_name)
+                );
+                return Ok(());
+            };
+            table_id
+        } else {
+            // Safety: we have validated that table_id or table_name is not None
+            self.table_id.unwrap()
+        };
+        self.table_metadata_deleter.delete(table_id).await?;
+        println!("Table({}) deleted", table_id);
+
+        Ok(())
+    }
+}
+
+struct TableMetadataDeleter {
+    table_metadata_manager: TableMetadataManager,
+}
+
+impl TableMetadataDeleter {
+    fn new(kv_backend: KvBackendRef) -> Self {
+        Self {
+            table_metadata_manager: TableMetadataManager::new_with_custom_tombstone_prefix(
+                kv_backend,
+                CLI_TOMBSTONE_PREFIX,
+            ),
+        }
+    }
+
+    async fn delete(&self, table_id: TableId) -> Result<(), BoxedError> {
+        let (table_info, table_route) = self
+            .table_metadata_manager
+            .get_full_table_info(table_id)
+            .await
+            .map_err(BoxedError::new)?;
+        let Some(table_info) = table_info else {
+            return Err(BoxedError::new(TableNotFoundSnafu { table_id }.build()));
+        };
+        let Some(table_route) = table_route else {
+            return Err(BoxedError::new(TableNotFoundSnafu { table_id }.build()));
+        };
+        let physical_table_id = self
+            .table_metadata_manager
+            .table_route_manager()
+            .get_physical_table_id(table_id)
+            .await
+            .map_err(BoxedError::new)?;
+
+        let table_name = table_info.table_name();
+        let region_wal_options = get_region_wal_options(
+            &self.table_metadata_manager,
+            &table_route,
+            physical_table_id,
+        )
+        .await
+        .map_err(BoxedError::new)?;
+
+        self.table_metadata_manager
+            .delete_table_metadata(table_id, &table_name, &table_route, &region_wal_options)
+            .await
+            .map_err(BoxedError::new)?;
+        Ok(())
+    }
+}
+
+#[cfg(test)]
+mod tests {
+    use std::collections::HashMap;
+    use std::sync::Arc;
+
+    use common_error::ext::ErrorExt;
+    use common_error::status_code::StatusCode;
+    use common_meta::key::table_route::TableRouteValue;
+    use common_meta::key::TableMetadataManager;
+    use common_meta::kv_backend::chroot::ChrootKvBackend;
+    use common_meta::kv_backend::memory::MemoryKvBackend;
+    use common_meta::kv_backend::{KvBackend, KvBackendRef};
+    use common_meta::rpc::store::RangeRequest;
+
+    use crate::metadata::control::del::table::TableMetadataDeleter;
+    use crate::metadata::control::del::CLI_TOMBSTONE_PREFIX;
+    use crate::metadata::control::test_utils::prepare_physical_table_metadata;
+
+    #[tokio::test]
+    async fn test_delete_table_not_found() {
+        let kv_backend = Arc::new(MemoryKvBackend::new()) as KvBackendRef;
+
+        let table_metadata_deleter = TableMetadataDeleter::new(kv_backend);
+        let table_id = 1;
+        let err = table_metadata_deleter.delete(table_id).await.unwrap_err();
+        assert_eq!(err.status_code(), StatusCode::TableNotFound);
+    }
+
+    #[tokio::test]
+    async fn test_delete_table_metadata() {
+        let kv_backend = Arc::new(MemoryKvBackend::new());
+        let table_metadata_manager = TableMetadataManager::new(kv_backend.clone());
+        let table_id = 1024;
+        let (table_info, table_route) = prepare_physical_table_metadata("my_table", table_id).await;
+        table_metadata_manager
+            .create_table_metadata(
+                table_info,
+                TableRouteValue::Physical(table_route),
+                HashMap::new(),
+            )
+            .await
+            .unwrap();
+
+        let total_keys = kv_backend.len();
+        assert!(total_keys > 0);
+
+        let table_metadata_deleter = TableMetadataDeleter::new(kv_backend.clone());
+        table_metadata_deleter.delete(table_id).await.unwrap();
+
+        // Check the tombstone keys are deleted
+        let chroot =
+            ChrootKvBackend::new(CLI_TOMBSTONE_PREFIX.as_bytes().to_vec(), kv_backend.clone());
+        let req = RangeRequest::default().with_range(vec![0], vec![0]);
+        let resp = chroot.range(req).await.unwrap();
+        assert_eq!(resp.kvs.len(), total_keys);
+    }
+}

src/cli/src/metadata/control/get.rs

@@ -0,0 +1,247 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use std::cmp::min;
+
+use async_trait::async_trait;
+use clap::{Parser, Subcommand};
+use client::{DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME};
+use common_catalog::format_full_table_name;
+use common_error::ext::BoxedError;
+use common_meta::key::table_info::TableInfoKey;
+use common_meta::key::table_route::TableRouteKey;
+use common_meta::key::TableMetadataManager;
+use common_meta::kv_backend::KvBackendRef;
+use common_meta::range_stream::{PaginationStream, DEFAULT_PAGE_SIZE};
+use common_meta::rpc::store::RangeRequest;
+use futures::TryStreamExt;
+
+use crate::error::InvalidArgumentsSnafu;
+use crate::metadata::common::StoreConfig;
+use crate::metadata::control::utils::{decode_key_value, get_table_id_by_name, json_fromatter};
+use crate::Tool;
+
+/// Getting metadata from metadata store.
+#[derive(Subcommand)]
+pub enum GetCommand {
+    Key(GetKeyCommand),
+    Table(GetTableCommand),
+}
+
+impl GetCommand {
+    pub async fn build(&self) -> Result<Box<dyn Tool>, BoxedError> {
+        match self {
+            GetCommand::Key(cmd) => cmd.build().await,
+            GetCommand::Table(cmd) => cmd.build().await,
+        }
+    }
+}
+
+/// Get key-value pairs from the metadata store.
+#[derive(Debug, Default, Parser)]
+pub struct GetKeyCommand {
+    /// The key to get from the metadata store.
+    #[clap(default_value = "")]
+    key: String,
+
+    /// Whether to perform a prefix query. If true, returns all key-value pairs where the key starts with the given prefix.
+    #[clap(long, default_value = "false")]
+    prefix: bool,
+
+    /// The maximum number of key-value pairs to return. If 0, returns all key-value pairs.
+    #[clap(long, default_value = "0")]
+    limit: u64,
+
+    #[clap(flatten)]
+    store: StoreConfig,
+}
+
+impl GetKeyCommand {
+    pub async fn build(&self) -> Result<Box<dyn Tool>, BoxedError> {
+        let kvbackend = self.store.build().await?;
+        Ok(Box::new(GetKeyTool {
+            kvbackend,
+            key: self.key.clone(),
+            prefix: self.prefix,
+            limit: self.limit,
+        }))
+    }
+}
+
+struct GetKeyTool {
+    kvbackend: KvBackendRef,
+    key: String,
+    prefix: bool,
+    limit: u64,
+}
+
+#[async_trait]
+impl Tool for GetKeyTool {
+    async fn do_work(&self) -> Result<(), BoxedError> {
+        let mut req = RangeRequest::default();
+        if self.prefix {
+            req = req.with_prefix(self.key.as_bytes());
+        } else {
+            req = req.with_key(self.key.as_bytes());
+        }
+        let page_size = if self.limit > 0 {
+            min(self.limit as usize, DEFAULT_PAGE_SIZE)
+        } else {
+            DEFAULT_PAGE_SIZE
+        };
+        let pagination_stream =
+            PaginationStream::new(self.kvbackend.clone(), req, page_size, decode_key_value);
+        let mut stream = Box::pin(pagination_stream.into_stream());
+        let mut counter = 0;
+
+        while let Some((key, value)) = stream.try_next().await.map_err(BoxedError::new)? {
+            print!("{}\n{}\n", key, value);
+            counter += 1;
+            if self.limit > 0 && counter >= self.limit {
+                break;
+            }
+        }
+
+        Ok(())
+    }
+}
+
+/// Get table metadata from the metadata store via table id.
+#[derive(Debug, Default, Parser)]
+pub struct GetTableCommand {
+    /// Get table metadata by table id.
+    #[clap(long)]
+    table_id: Option<u32>,
+
+    /// Get table metadata by table name.
+    #[clap(long)]
+    table_name: Option<String>,
+
+    /// The schema name of the table.
+    #[clap(long, default_value = DEFAULT_SCHEMA_NAME)]
+    schema_name: String,
+
+    /// The catalog name of the table.
+    #[clap(long, default_value = DEFAULT_CATALOG_NAME)]
+    catalog_name: String,
+
+    /// Pretty print the output.
+    #[clap(long, default_value = "false")]
+    pretty: bool,
+
+    #[clap(flatten)]
+    store: StoreConfig,
+}
+
+impl GetTableCommand {
+    pub fn validate(&self) -> Result<(), BoxedError> {
+        if matches!(
+            (&self.table_id, &self.table_name),
+            (Some(_), Some(_)) | (None, None)
+        ) {
+            return Err(BoxedError::new(
+                InvalidArgumentsSnafu {
+                    msg: "You must specify either --table-id or --table-name.",
+                }
+                .build(),
+            ));
+        }
+        Ok(())
+    }
+}
+
+struct GetTableTool {
+    kvbackend: KvBackendRef,
+    table_id: Option<u32>,
+    table_name: Option<String>,
+    schema_name: String,
+    catalog_name: String,
+    pretty: bool,
+}
+
+#[async_trait]
+impl Tool for GetTableTool {
+    async fn do_work(&self) -> Result<(), BoxedError> {
+        let table_metadata_manager = TableMetadataManager::new(self.kvbackend.clone());
+        let table_name_manager = table_metadata_manager.table_name_manager();
+        let table_info_manager = table_metadata_manager.table_info_manager();
+        let table_route_manager = table_metadata_manager.table_route_manager();
+
+        let table_id = if let Some(table_name) = &self.table_name {
+            let catalog_name = &self.catalog_name;
+            let schema_name = &self.schema_name;
+
+            let Some(table_id) =
+                get_table_id_by_name(table_name_manager, catalog_name, schema_name, table_name)
+                    .await?
+            else {
+                println!(
+                    "Table({}) not found",
+                    format_full_table_name(catalog_name, schema_name, table_name)
+                );
+                return Ok(());
+            };
+            table_id
+        } else {
+            // Safety: we have validated that table_id or table_name is not None
+            self.table_id.unwrap()
+        };
+
+        let table_info = table_info_manager
+            .get(table_id)
+            .await
+            .map_err(BoxedError::new)?;
+        if let Some(table_info) = table_info {
+            println!(
+                "{}\n{}",
+                TableInfoKey::new(table_id),
+                json_fromatter(self.pretty, &*table_info)
+            );
+        } else {
+            println!("Table info not found");
+        }
+
+        let table_route = table_route_manager
+            .table_route_storage()
+            .get(table_id)
+            .await
+            .map_err(BoxedError::new)?;
+        if let Some(table_route) = table_route {
+            println!(
+                "{}\n{}",
+                TableRouteKey::new(table_id),
+                json_fromatter(self.pretty, &table_route)
+            );
+        } else {
+            println!("Table route not found");
+        }
+
+        Ok(())
+    }
+}
+
+impl GetTableCommand {
+    pub async fn build(&self) -> Result<Box<dyn Tool>, BoxedError> {
+        self.validate()?;
+        let kvbackend = self.store.build().await?;
+        Ok(Box::new(GetTableTool {
+            kvbackend,
+            table_id: self.table_id,
+            table_name: self.table_name.clone(),
+            schema_name: self.schema_name.clone(),
+            catalog_name: self.catalog_name.clone(),
+            pretty: self.pretty,
+        }))
+    }
+}

src/cli/src/metadata/control/test_utils.rs

@@ -0,0 +1,51 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use common_meta::ddl::test_util::test_create_physical_table_task;
+use common_meta::key::table_route::PhysicalTableRouteValue;
+use common_meta::kv_backend::KvBackendRef;
+use common_meta::peer::Peer;
+use common_meta::rpc::router::{Region, RegionRoute};
+use common_meta::rpc::store::PutRequest;
+use store_api::storage::{RegionId, TableId};
+use table::metadata::RawTableInfo;
+
+/// Puts a key-value pair into the kv backend.
+pub async fn put_key(kv_backend: &KvBackendRef, key: &str, value: &str) {
+    let put_req = PutRequest::new()
+        .with_key(key.as_bytes())
+        .with_value(value.as_bytes());
+    kv_backend.put(put_req).await.unwrap();
+}
+
+/// Prepares the physical table metadata for testing.
+///
+/// Returns the table info and the table route.
+pub async fn prepare_physical_table_metadata(
+    table_name: &str,
+    table_id: TableId,
+) -> (RawTableInfo, PhysicalTableRouteValue) {
+    let mut create_physical_table_task = test_create_physical_table_task(table_name);
+    let table_route = PhysicalTableRouteValue::new(vec![RegionRoute {
+        region: Region {
+            id: RegionId::new(table_id, 1),
+            ..Default::default()
+        },
+        leader_peer: Some(Peer::empty(1)),
+        ..Default::default()
+    }]);
+    create_physical_table_task.set_table_id(table_id);
+
+    (create_physical_table_task.table_info, table_route)
+}

src/cli/src/metadata/control/utils.rs

@@ -0,0 +1,57 @@
+// Copyright 2023 Greptime Team
+//
+// Licensed under the Apache License, Version 2.0 (the "License");
+// you may not use this file except in compliance with the License.
+// You may obtain a copy of the License at
+//
+//     http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing, software
+// distributed under the License is distributed on an "AS IS" BASIS,
+// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+// See the License for the specific language governing permissions and
+// limitations under the License.
+
+use common_error::ext::BoxedError;
+use common_meta::error::Result as CommonMetaResult;
+use common_meta::key::table_name::{TableNameKey, TableNameManager};
+use common_meta::rpc::KeyValue;
+use serde::Serialize;
+use store_api::storage::TableId;
+
+/// Decodes a key-value pair into a string.
+pub fn decode_key_value(kv: KeyValue) -> CommonMetaResult<(String, String)> {
+    let key = String::from_utf8_lossy(&kv.key).to_string();
+    let value = String::from_utf8_lossy(&kv.value).to_string();
+    Ok((key, value))
+}
+
+/// Formats a value as a JSON string.
+pub fn json_fromatter<T>(pretty: bool, value: &T) -> String
+where
+    T: Serialize,
+{
+    if pretty {
+        serde_json::to_string_pretty(value).unwrap()
+    } else {
+        serde_json::to_string(value).unwrap()
+    }
+}
+
+/// Gets the table id by table name.
+pub async fn get_table_id_by_name(
+    table_name_manager: &TableNameManager,
+    catalog_name: &str,
+    schema_name: &str,
+    table_name: &str,
+) -> Result<Option<TableId>, BoxedError> {
+    let table_name_key = TableNameKey::new(catalog_name, schema_name, table_name);
+    let Some(table_name_value) = table_name_manager
+        .get(table_name_key)
+        .await
+        .map_err(BoxedError::new)?
+    else {
+        return Ok(None);
+    };
+    Ok(Some(table_name_value.table_id()))
+}