chore: bump version to 0.14.4

Signed-off-by: Zhenchi <zhongzc_arch@outlook.com>
fix: do not accommodate fields for multi-value protocol (#6237 )
2025-12-22 22:20:02 +00:00 · 2025-06-04 15:59:41 +08:00 · 2025-06-04 15:59:41 +08:00 · 2025-06-04 15:59:41 +08:00 · 2025-06-04 15:59:41 +08:00 · 2025-06-04 15:59:41 +08:00
1169 changed files with 75564 additions and 29307 deletions
--- a/.cargo/config.toml
+++ b/.cargo/config.toml
@@ -3,3 +3,12 @@ linker = "aarch64-linux-gnu-gcc"

 [alias]
 sqlness = "run --bin sqlness-runner --"
+
+[unstable.git]
+shallow_index = true
+shallow_deps = true
+[unstable.gitoxide]
+fetch = true
+checkout = true
+list_files = true
+internal_use_git2 = false
--- a/.coderabbit.yaml
+++ b/.coderabbit.yaml
@@ -1,15 +0,0 @@
-# yaml-language-server: $schema=https://coderabbit.ai/integrations/schema.v2.json
-language: "en-US"
-early_access: false
-reviews:
-  profile: "chill"
-  request_changes_workflow: false
-  high_level_summary: true
-  poem: true
-  review_status: true
-  collapse_walkthrough: false
-  auto_review:
-    enabled: false
-    drafts: false
-chat:
-  auto_reply: true
--- a/.github/actions/build-dev-builder-images/action.yml
+++ b/.github/actions/build-dev-builder-images/action.yml
@@ -41,7 +41,14 @@ runs:
        username: ${{ inputs.dockerhub-image-registry-username }}
        password: ${{ inputs.dockerhub-image-registry-token }}

-    - name: Build and push dev-builder-ubuntu image
+    - name: Set up qemu for multi-platform builds
+      uses: docker/setup-qemu-action@v3
+      with:
+        platforms: linux/amd64,linux/arm64
+        # The latest version will lead to segmentation fault.
+        image: tonistiigi/binfmt:qemu-v7.0.0-28
+
+    - name: Build and push dev-builder-ubuntu image # Build image for amd64 and arm64 platform.
      shell: bash
      if: ${{ inputs.build-dev-builder-ubuntu == 'true' }}
      run: |
@@ -52,7 +59,7 @@ runs:
          IMAGE_NAMESPACE=${{ inputs.dockerhub-image-namespace }} \
          DEV_BUILDER_IMAGE_TAG=${{ inputs.version }}

-    - name: Build and push dev-builder-centos image
+    - name: Build and push dev-builder-centos image # Only build image for amd64 platform.
      shell: bash
      if: ${{ inputs.build-dev-builder-centos == 'true' }}
      run: |
@@ -69,8 +76,7 @@ runs:
      run: |
        make dev-builder \
          BASE_IMAGE=android \
+          BUILDX_MULTI_PLATFORM_BUILD=amd64 \
          IMAGE_REGISTRY=${{ inputs.dockerhub-image-registry }} \
          IMAGE_NAMESPACE=${{ inputs.dockerhub-image-namespace }} \
-          DEV_BUILDER_IMAGE_TAG=${{ inputs.version }} && \
-
-        docker push ${{ inputs.dockerhub-image-registry }}/${{ inputs.dockerhub-image-namespace }}/dev-builder-android:${{ inputs.version }}
+          DEV_BUILDER_IMAGE_TAG=${{ inputs.version }}
--- a/.github/actions/build-greptime-images/action.yml
+++ b/.github/actions/build-greptime-images/action.yml
@@ -34,8 +34,8 @@ inputs:
    required: true
  push-latest-tag:
    description: Whether to push the latest tag
-    required: false
-    default: 'true'
+    required: true
+    default: 'false'
 runs:
  using: composite
  steps:
--- a/.github/actions/build-images/action.yml
+++ b/.github/actions/build-images/action.yml
@@ -22,8 +22,8 @@ inputs:
    required: true
  push-latest-tag:
    description: Whether to push the latest tag
-    required: false
-    default: 'true'
+    required: true
+    default: 'false'
  dev-mode:
    description: Enable dev mode, only build standard greptime
    required: false
--- a/.github/actions/build-linux-artifacts/action.yml
+++ b/.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
+        features: servers/dashboard,pg_kvbackend,mysql_kvbackend
        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
+        features: servers/dashboard,pg_kvbackend,mysql_kvbackend
        cargo-profile: ${{ inputs.cargo-profile }}
        artifacts-dir: greptime-linux-${{ inputs.arch }}-centos-${{ inputs.version }}
        version: ${{ inputs.version }}
--- a/.github/actions/build-windows-artifacts/action.yml
+++ b/.github/actions/build-windows-artifacts/action.yml
@@ -47,7 +47,6 @@ runs:
      shell: pwsh
      run: make test sqlness-test
      env:
-        RUSTUP_WINDOWS_PATH_ADD_BIN: 1 # Workaround for https://github.com/nextest-rs/nextest/issues/1493
        RUST_BACKTRACE: 1
        SQLNESS_OPTS: "--preserve-state"

--- a/.github/actions/release-cn-artifacts/action.yaml
+++ b/.github/actions/release-cn-artifacts/action.yaml
@@ -51,8 +51,8 @@ inputs:
    required: true
  upload-to-s3:
    description: Upload to S3
-    required: false
-    default: 'true'
+    required: true
+    default: 'false'
  artifacts-dir:
    description: Directory to store artifacts
    required: false
@@ -77,13 +77,21 @@ runs:
      with:
        path: ${{ inputs.artifacts-dir }}

+    - name: Install s5cmd
+      shell: bash
+      run: |
+        wget https://github.com/peak/s5cmd/releases/download/v2.3.0/s5cmd_2.3.0_Linux-64bit.tar.gz
+        tar -xzf s5cmd_2.3.0_Linux-64bit.tar.gz
+        sudo mv s5cmd /usr/local/bin/
+        sudo chmod +x /usr/local/bin/s5cmd
+
    - name: Release artifacts to cn region
      uses: nick-invision/retry@v2
      if: ${{ inputs.upload-to-s3 == 'true' }}
      env:
        AWS_ACCESS_KEY_ID: ${{ inputs.aws-cn-access-key-id }}
        AWS_SECRET_ACCESS_KEY: ${{ inputs.aws-cn-secret-access-key }}
-        AWS_DEFAULT_REGION: ${{ inputs.aws-cn-region }}
+        AWS_REGION: ${{ inputs.aws-cn-region }}
        UPDATE_VERSION_INFO: ${{ inputs.update-version-info }}
      with:
        max_attempts: ${{ inputs.upload-max-retry-times }}
--- a/.github/actions/setup-greptimedb-cluster/action.yml
+++ b/.github/actions/setup-greptimedb-cluster/action.yml
@@ -8,7 +8,7 @@ inputs:
    default: 2
    description: "Number of Datanode replicas"
  meta-replicas:
-    default: 1
+    default: 2
    description: "Number of Metasrv replicas"
  image-registry: 
    default: "docker.io"
--- a/.github/actions/setup-greptimedb-cluster/with-remote-wal.yaml
+++ b/.github/actions/setup-greptimedb-cluster/with-remote-wal.yaml
@@ -2,13 +2,14 @@ meta:
  configData: |-
    [runtime]
    global_rt_size = 4
-    
+
    [wal]
    provider = "kafka"
    broker_endpoints = ["kafka.kafka-cluster.svc.cluster.local:9092"]
    num_topics = 3
+    auto_prune_interval = "30s"
+    trigger_flush_threshold = 100

-        
    [datanode]
    [datanode.client]
    timeout = "120s"
@@ -22,6 +23,7 @@ datanode:
    provider = "kafka"
    broker_endpoints = ["kafka.kafka-cluster.svc.cluster.local:9092"]
    linger = "2ms"
+    overwrite_entry_start_id = true
 frontend:
  configData: |-
    [runtime]
--- a/.github/actions/start-runner/action.yml
+++ b/.github/actions/start-runner/action.yml
@@ -56,7 +56,7 @@ runs:

    - name: Start EC2 runner
      if: startsWith(inputs.runner, 'ec2')
-      uses: machulav/ec2-github-runner@v2
+      uses: machulav/ec2-github-runner@v2.3.8
      id: start-linux-arm64-ec2-runner
      with:
        mode: start
--- a/.github/actions/stop-runner/action.yml
+++ b/.github/actions/stop-runner/action.yml
@@ -33,7 +33,7 @@ runs:

    - name: Stop EC2 runner
      if: ${{ inputs.label && inputs.ec2-instance-id }}
-      uses: machulav/ec2-github-runner@v2
+      uses: machulav/ec2-github-runner@v2.3.8
      with:
        mode: stop
        label: ${{ inputs.label }}
--- a/.github/scripts/create-version.sh
+++ b/.github/scripts/create-version.sh
@@ -25,7 +25,7 @@ function create_version() {
  fi

  # Reuse $NEXT_RELEASE_VERSION to identify whether it's a nightly build.
-  # It will be like 'nigtly-20230808-7d0d8dc6'.
+  # It will be like 'nightly-20230808-7d0d8dc6'.
  if [ "$NEXT_RELEASE_VERSION" = nightly ]; then
    echo "$NIGHTLY_RELEASE_PREFIX-$(date "+%Y%m%d")-$(git rev-parse --short HEAD)"
    exit 0
@@ -60,9 +60,9 @@ function create_version() {
 }

 # You can run as following examples:
-#  GITHUB_EVENT_NAME=push NEXT_RELEASE_VERSION=v0.4.0 NIGHTLY_RELEASE_PREFIX=nigtly GITHUB_REF_NAME=v0.3.0 ./create-version.sh
-#  GITHUB_EVENT_NAME=workflow_dispatch NEXT_RELEASE_VERSION=v0.4.0 NIGHTLY_RELEASE_PREFIX=nigtly ./create-version.sh
-#  GITHUB_EVENT_NAME=schedule NEXT_RELEASE_VERSION=v0.4.0 NIGHTLY_RELEASE_PREFIX=nigtly ./create-version.sh
-#  GITHUB_EVENT_NAME=schedule NEXT_RELEASE_VERSION=nightly NIGHTLY_RELEASE_PREFIX=nigtly ./create-version.sh
-#  GITHUB_EVENT_NAME=workflow_dispatch COMMIT_SHA=f0e7216c4bb6acce9b29a21ec2d683be2e3f984a NEXT_RELEASE_VERSION=dev NIGHTLY_RELEASE_PREFIX=nigtly ./create-version.sh
+#  GITHUB_EVENT_NAME=push NEXT_RELEASE_VERSION=v0.4.0 NIGHTLY_RELEASE_PREFIX=nightly GITHUB_REF_NAME=v0.3.0 ./create-version.sh
+#  GITHUB_EVENT_NAME=workflow_dispatch NEXT_RELEASE_VERSION=v0.4.0 NIGHTLY_RELEASE_PREFIX=nightly ./create-version.sh
+#  GITHUB_EVENT_NAME=schedule NEXT_RELEASE_VERSION=v0.4.0 NIGHTLY_RELEASE_PREFIX=nightly ./create-version.sh
+#  GITHUB_EVENT_NAME=schedule NEXT_RELEASE_VERSION=nightly NIGHTLY_RELEASE_PREFIX=nightly ./create-version.sh
+#  GITHUB_EVENT_NAME=workflow_dispatch COMMIT_SHA=f0e7216c4bb6acce9b29a21ec2d683be2e3f984a NEXT_RELEASE_VERSION=dev NIGHTLY_RELEASE_PREFIX=nightly ./create-version.sh
 create_version
--- a/.github/scripts/update-dev-builder-version.sh
+++ b/.github/scripts/update-dev-builder-version.sh
@@ -0,0 +1,37 @@
+#!/bin/bash
+
+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" 
+    exit 1
+  fi
+
+  # Configure Git configs.
+  git config --global user.email greptimedb-ci@greptime.com
+  git config --global user.name greptimedb-ci
+
+  # Checkout a new branch.
+  BRANCH_NAME="ci/update-dev-builder-$(date +%Y%m%d%H%M%S)"
+  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
+
+  # Commit the changes.
+  git add Makefile
+  git commit -m "ci: update dev-builder image tag"
+  git push origin $BRANCH_NAME
+
+  # Create a Pull Request.
+  gh pr create \
+      --title "ci: update dev-builder image tag" \
+      --body "This PR updates the dev-builder image tag" \
+      --base main \
+      --head $BRANCH_NAME \
+      --reviewer zyy17 \
+      --reviewer daviderli614
+}
+
+update_dev_builder_version
--- a/.github/scripts/upload-artifacts-to-s3.sh
+++ b/.github/scripts/upload-artifacts-to-s3.sh
@@ -33,7 +33,7 @@ function upload_artifacts() {
  #    ├── greptime-darwin-amd64-v0.2.0.sha256sum
  #    └── greptime-darwin-amd64-v0.2.0.tar.gz
  find "$ARTIFACTS_DIR" -type f \( -name "*.tar.gz" -o -name "*.sha256sum" \) | while IFS= read -r file; do
-    aws s3 cp \
+    s5cmd cp \
      "$file" "s3://$AWS_S3_BUCKET/$RELEASE_DIRS/$VERSION/$(basename "$file")"
  done
 }
@@ -45,7 +45,7 @@ function update_version_info() {
    if [[ "$VERSION" =~ ^v[0-9]+\.[0-9]+\.[0-9]+$ ]]; then
      echo "Updating latest-version.txt"
      echo "$VERSION" > latest-version.txt
-      aws s3 cp \
+      s5cmd cp \
        latest-version.txt "s3://$AWS_S3_BUCKET/$RELEASE_DIRS/latest-version.txt"
    fi

@@ -53,7 +53,7 @@ function update_version_info() {
    if [[ "$VERSION" == *"nightly"* ]]; then
      echo "Updating latest-nightly-version.txt"
      echo "$VERSION" > latest-nightly-version.txt
-      aws s3 cp \
+      s5cmd cp \
        latest-nightly-version.txt "s3://$AWS_S3_BUCKET/$RELEASE_DIRS/latest-nightly-version.txt"
    fi
  fi
--- a/.github/workflows/apidoc.yml
+++ b/.github/workflows/apidoc.yml
@@ -14,7 +14,7 @@ name: Build API docs

 jobs:
  apidoc:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    steps:
    - uses: actions/checkout@v4
      with:
--- a/.github/workflows/dev-build.yml
+++ b/.github/workflows/dev-build.yml
@@ -16,11 +16,11 @@ on:
        description: The runner uses to build linux-amd64 artifacts
        default: ec2-c6i.4xlarge-amd64
        options:
-          - ubuntu-20.04
-          - ubuntu-20.04-8-cores
-          - ubuntu-20.04-16-cores
-          - ubuntu-20.04-32-cores
-          - ubuntu-20.04-64-cores
+          - ubuntu-22.04
+          - ubuntu-22.04-8-cores
+          - ubuntu-22.04-16-cores
+          - ubuntu-22.04-32-cores
+          - ubuntu-22.04-64-cores
          - ec2-c6i.xlarge-amd64 # 4C8G
          - ec2-c6i.2xlarge-amd64 # 8C16G
          - ec2-c6i.4xlarge-amd64 # 16C32G
@@ -83,7 +83,7 @@ jobs:
  allocate-runners:
    name: Allocate runners
    if: ${{ github.repository == 'GreptimeTeam/greptimedb' }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    outputs:
      linux-amd64-runner: ${{ steps.start-linux-amd64-runner.outputs.label }}
      linux-arm64-runner: ${{ steps.start-linux-arm64-runner.outputs.label }}
@@ -218,7 +218,7 @@ jobs:
      build-linux-amd64-artifacts,
      build-linux-arm64-artifacts,
    ]
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    outputs:
      build-result: ${{ steps.set-build-result.outputs.build-result }}
    steps:
@@ -238,6 +238,13 @@ 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" >> $GITHUB_STEP_SUMMARY
+          echo "Image Tag: \`${{ needs.allocate-runners.outputs.version }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "Full Image Name: \`docker.io/${{ vars.IMAGE_NAMESPACE }}/${{ vars.DEV_BUILD_IMAGE_NAME }}:${{ needs.allocate-runners.outputs.version }}\`" >> $GITHUB_STEP_SUMMARY
+          echo "Pull Command: \`docker pull docker.io/${{ vars.IMAGE_NAMESPACE }}/${{ vars.DEV_BUILD_IMAGE_NAME }}:${{ needs.allocate-runners.outputs.version }}\`" >> $GITHUB_STEP_SUMMARY

      - name: Set build result
        id: set-build-result
@@ -251,7 +258,7 @@ jobs:
      allocate-runners,
      release-images-to-dockerhub,
    ]
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    continue-on-error: true
    steps:
      - uses: actions/checkout@v4
@@ -274,6 +281,7 @@ 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
          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.
@@ -282,7 +290,7 @@ jobs:
    name: Stop linux-amd64 runner
    # Only run this job when the runner is allocated.
    if: ${{ always() }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    needs: [
      allocate-runners,
      build-linux-amd64-artifacts,
@@ -308,7 +316,7 @@ jobs:
    name: Stop linux-arm64 runner
    # Only run this job when the runner is allocated.
    if: ${{ always() }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    needs: [
      allocate-runners,
      build-linux-arm64-artifacts,
@@ -336,7 +344,7 @@ jobs:
    needs: [
      release-images-to-dockerhub
    ]
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    permissions:
      issues: write

--- a/.github/workflows/develop.yml
+++ b/.github/workflows/develop.yml
@@ -23,7 +23,7 @@ concurrency:
 jobs:
  check-typos-and-docs:
    name: Check typos and docs
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
@@ -36,7 +36,7 @@ jobs:
          || (echo "'config/config.md' is not up-to-date, please run 'make config-docs'." && exit 1)

  license-header-check:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    name: Check License Header
    steps:
      - uses: actions/checkout@v4
@@ -49,7 +49,7 @@ jobs:
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
-        os: [ ubuntu-20.04 ]
+        os: [ ubuntu-latest ]
    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v4
@@ -72,7 +72,7 @@ jobs:

  toml:
    name: Toml Check
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v4
@@ -89,7 +89,7 @@ jobs:
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
-        os: [ ubuntu-20.04 ]
+        os: [ ubuntu-latest ]
    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v4
@@ -111,7 +111,7 @@ jobs:
      - name: Build greptime binaries
        shell: bash
        # `cargo gc` will invoke `cargo build` with specified args
-        run: cargo gc -- --bin greptime --bin sqlness-runner --features pg_kvbackend
+        run: cargo gc -- --bin greptime --bin sqlness-runner --features "pg_kvbackend,mysql_kvbackend"
      - name: Pack greptime binaries
        shell: bash
        run: |
@@ -248,7 +248,7 @@ jobs:
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
-        os: [ ubuntu-20.04 ]
+        os: [ ubuntu-latest ]
    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v4
@@ -270,7 +270,7 @@ jobs:
      - name: Build greptime bianry
        shell: bash
        # `cargo gc` will invoke `cargo build` with specified args
-        run: cargo gc --profile ci -- --bin greptime --features pg_kvbackend
+        run: cargo gc --profile ci -- --bin greptime --features "pg_kvbackend,mysql_kvbackend"
      - name: Pack greptime binary
        shell: bash
        run: |
@@ -568,7 +568,7 @@ jobs:
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
-        os: [ ubuntu-20.04 ]
+        os: [ ubuntu-latest ]
        mode:
          - name: "Basic"
            opts: ""
@@ -576,9 +576,12 @@ jobs:
          - name: "Remote WAL"
            opts: "-w kafka -k 127.0.0.1:9092"
            kafka: true
-          - name: "Pg Kvbackend"
+          - name: "PostgreSQL KvBackend"
            opts: "--setup-pg"
            kafka: false
+          - name: "MySQL Kvbackend"
+            opts: "--setup-mysql"
+            kafka: false
    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v4
@@ -607,7 +610,7 @@ jobs:

  fmt:
    name: Rustfmt
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v4
@@ -624,7 +627,7 @@ jobs:

  clippy:
    name: Clippy
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v4
@@ -687,7 +690,7 @@ jobs:
        working-directory: tests-integration/fixtures
        run: docker compose up -d --wait
      - name: Run nextest cases
-        run: cargo nextest run --workspace -F dashboard -F pg_kvbackend
+        run: cargo nextest run --workspace -F dashboard -F pg_kvbackend -F mysql_kvbackend
        env:
          CARGO_BUILD_RUSTFLAGS: "-C link-arg=-fuse-ld=mold"
          RUST_BACKTRACE: 1
@@ -704,13 +707,14 @@ jobs:
          GT_MINIO_ENDPOINT_URL: http://127.0.0.1:9000
          GT_ETCD_ENDPOINTS: http://127.0.0.1:2379
          GT_POSTGRES_ENDPOINTS: postgres://greptimedb:admin@127.0.0.1:5432/postgres
+          GT_MYSQL_ENDPOINTS: mysql://greptimedb:admin@127.0.0.1:3306/mysql
          GT_KAFKA_ENDPOINTS: 127.0.0.1:9092
          GT_KAFKA_SASL_ENDPOINTS: 127.0.0.1:9093
          UNITTEST_LOG_DIR: "__unittest_logs"

  coverage:
    if: github.event_name == 'merge_group'
-    runs-on: ubuntu-20.04-8-cores
+    runs-on: ubuntu-22.04-8-cores
    timeout-minutes: 60
    steps:
      - uses: actions/checkout@v4
@@ -739,7 +743,7 @@ jobs:
        working-directory: tests-integration/fixtures
        run: docker compose up -d --wait
      - name: Run nextest cases
-        run: cargo llvm-cov nextest --workspace --lcov --output-path lcov.info -F dashboard -F pg_kvbackend
+        run: cargo llvm-cov nextest --workspace --lcov --output-path lcov.info -F dashboard -F pg_kvbackend -F mysql_kvbackend
        env:
          CARGO_BUILD_RUSTFLAGS: "-C link-arg=-fuse-ld=mold"
          RUST_BACKTRACE: 1
@@ -755,6 +759,7 @@ jobs:
          GT_MINIO_ENDPOINT_URL: http://127.0.0.1:9000
          GT_ETCD_ENDPOINTS: http://127.0.0.1:2379
          GT_POSTGRES_ENDPOINTS: postgres://greptimedb:admin@127.0.0.1:5432/postgres
+          GT_MYSQL_ENDPOINTS: mysql://greptimedb:admin@127.0.0.1:3306/mysql
          GT_KAFKA_ENDPOINTS: 127.0.0.1:9092
          GT_KAFKA_SASL_ENDPOINTS: 127.0.0.1:9093
          UNITTEST_LOG_DIR: "__unittest_logs"
@@ -770,7 +775,7 @@ jobs:
  # compat:
  #   name: Compatibility Test
  #   needs: build
-  #   runs-on: ubuntu-20.04
+  #   runs-on: ubuntu-22.04
  #   timeout-minutes: 60
  #   steps:
  #     - uses: actions/checkout@v4
--- a/.github/workflows/docbot.yml
+++ b/.github/workflows/docbot.yml
@@ -3,9 +3,13 @@ on:
  pull_request_target:
    types: [opened, edited]

+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
 jobs:
  docbot:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    permissions:
      pull-requests: write
      contents: read
--- a/.github/workflows/docs.yml
+++ b/.github/workflows/docs.yml
@@ -31,7 +31,7 @@ name: CI
 jobs:
  typos:
    name: Spell Check with Typos
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
@@ -39,7 +39,7 @@ jobs:
      - uses: crate-ci/typos@master

  license-header-check:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    name: Check License Header
    steps:
      - uses: actions/checkout@v4
@@ -49,29 +49,29 @@ jobs:

  check:
    name: Check
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    steps:
      - run: 'echo "No action required"'

  fmt:
    name: Rustfmt
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    steps:
      - run: 'echo "No action required"'

  clippy:
    name: Clippy
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    steps:
      - run: 'echo "No action required"'

  coverage:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    steps:
      - run: 'echo "No action required"'

  test:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    steps:
      - run: 'echo "No action required"'

@@ -80,7 +80,7 @@ jobs:
    runs-on: ${{ matrix.os }}
    strategy:
      matrix:
-        os: [ ubuntu-20.04 ]
+        os: [ ubuntu-latest ]
        mode:
          - name: "Basic"
          - name: "Remote WAL"
--- a/.github/workflows/grafana.yml
+++ b/.github/workflows/grafana.yml
@@ -0,0 +1,26 @@
+name: Check Grafana Panels
+
+on:
+  pull_request:
+    branches:
+      - main
+    paths:
+      - 'grafana/**'  # Trigger only when files under the grafana/ directory change
+
+jobs:
+  check-panels:
+    runs-on: ubuntu-latest
+
+    steps:
+      # Check out the repository
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      # Install jq (required for the script)
+      - name: Install jq
+        run: sudo apt-get install -y jq
+
+      # Make the check.sh script executable
+      - name: Check grafana dashboards
+        run: |
+          make check-dashboards
--- a/.github/workflows/nightly-build.yml
+++ b/.github/workflows/nightly-build.yml
@@ -14,11 +14,11 @@ on:
        description: The runner uses to build linux-amd64 artifacts
        default: ec2-c6i.4xlarge-amd64
        options:
-          - ubuntu-20.04
-          - ubuntu-20.04-8-cores
-          - ubuntu-20.04-16-cores
-          - ubuntu-20.04-32-cores
-          - ubuntu-20.04-64-cores
+          - ubuntu-22.04
+          - ubuntu-22.04-8-cores
+          - ubuntu-22.04-16-cores
+          - ubuntu-22.04-32-cores
+          - ubuntu-22.04-64-cores
          - ec2-c6i.xlarge-amd64 # 4C8G
          - ec2-c6i.2xlarge-amd64 # 8C16G
          - ec2-c6i.4xlarge-amd64 # 16C32G
@@ -70,7 +70,7 @@ jobs:
  allocate-runners:
    name: Allocate runners
    if: ${{ github.repository == 'GreptimeTeam/greptimedb' }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    outputs:
      linux-amd64-runner: ${{ steps.start-linux-amd64-runner.outputs.label }}
      linux-arm64-runner: ${{ steps.start-linux-arm64-runner.outputs.label }}
@@ -182,7 +182,7 @@ jobs:
      build-linux-amd64-artifacts,
      build-linux-arm64-artifacts,
    ]
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    outputs:
      nightly-build-result: ${{ steps.set-nightly-build-result.outputs.nightly-build-result }}
    steps:
@@ -200,7 +200,7 @@ jobs:
          image-registry-username: ${{ secrets.DOCKERHUB_USERNAME }}
          image-registry-password: ${{ secrets.DOCKERHUB_TOKEN }}
          version: ${{ needs.allocate-runners.outputs.version }}
-          push-latest-tag: true
+          push-latest-tag: false

      - name: Set nightly build result
        id: set-nightly-build-result
@@ -214,7 +214,7 @@ jobs:
      allocate-runners,
      release-images-to-dockerhub,
    ]
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    # 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.
@@ -240,15 +240,16 @@ 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
          dev-mode: false
          update-version-info: false  # Don't update version info in S3.
-          push-latest-tag: true
+          push-latest-tag: false

  stop-linux-amd64-runner: # It's always run as the last job in the workflow to make sure that the runner is released.
    name: Stop linux-amd64 runner
    # Only run this job when the runner is allocated.
    if: ${{ always() }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    needs: [
      allocate-runners,
      build-linux-amd64-artifacts,
@@ -274,7 +275,7 @@ jobs:
    name: Stop linux-arm64 runner
    # Only run this job when the runner is allocated.
    if: ${{ always() }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    needs: [
      allocate-runners,
      build-linux-arm64-artifacts,
@@ -302,7 +303,7 @@ jobs:
    needs: [
      release-images-to-dockerhub
    ]
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    permissions:
      issues: write
    env:
--- a/.github/workflows/nightly-ci.yml
+++ b/.github/workflows/nightly-ci.yml
@@ -13,7 +13,7 @@ jobs:
  sqlness-test:
    name: Run sqlness test
    if: ${{ github.repository == 'GreptimeTeam/greptimedb' }}
-    runs-on: ubuntu-22.04
+    runs-on: ubuntu-latest
    steps:
      - name: Checkout
        uses: actions/checkout@v4
@@ -107,7 +107,6 @@ jobs:
          CARGO_BUILD_RUSTFLAGS: "-C linker=lld-link"
          RUST_BACKTRACE: 1
          CARGO_INCREMENTAL: 0
-          RUSTUP_WINDOWS_PATH_ADD_BIN: 1 # Workaround for https://github.com/nextest-rs/nextest/issues/1493
          GT_S3_BUCKET: ${{ vars.AWS_CI_TEST_BUCKET }}
          GT_S3_ACCESS_KEY_ID: ${{ secrets.AWS_CI_TEST_ACCESS_KEY_ID }}
          GT_S3_ACCESS_KEY: ${{ secrets.AWS_CI_TEST_SECRET_ACCESS_KEY }}
@@ -133,7 +132,7 @@ jobs:
    name: Check status
    needs: [sqlness-test, sqlness-windows, test-on-windows]
    if: ${{ github.repository == 'GreptimeTeam/greptimedb' }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    outputs:
      check-result: ${{ steps.set-check-result.outputs.check-result }}
    steps:
@@ -146,7 +145,7 @@ jobs:
    if: ${{ github.repository == 'GreptimeTeam/greptimedb' && always() }} # Not requiring successful dependent jobs, always run.
    name: Send notification to Greptime team
    needs: [check-status]
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    env:
      SLACK_WEBHOOK_URL: ${{ secrets.SLACK_WEBHOOK_URL_DEVELOP_CHANNEL }}
    steps:
--- a/.github/workflows/release-dev-builder-images.yaml
+++ b/.github/workflows/release-dev-builder-images.yaml
@@ -24,12 +24,20 @@ on:
        description: Release dev-builder-android image
        required: false
        default: false
+      update_dev_builder_image_tag:
+        type: boolean
+        description: Update the DEV_BUILDER_IMAGE_TAG in Makefile and create a PR
+        required: false
+        default: false

 jobs:
  release-dev-builder-images:
    name: Release dev builder images
-    if: ${{ inputs.release_dev_builder_ubuntu_image || inputs.release_dev_builder_centos_image || inputs.release_dev_builder_android_image }} # Only manually trigger this job.
-    runs-on: ubuntu-20.04-16-cores
+    # The jobs are triggered by the following events:
+    # 1. Manually triggered workflow_dispatch event
+    # 2. Push event when the PR that modifies the `rust-toolchain.toml` or `docker/dev-builder/**` is merged to main
+    if: ${{ github.event_name == 'push' || inputs.release_dev_builder_ubuntu_image || inputs.release_dev_builder_centos_image || inputs.release_dev_builder_android_image }}
+    runs-on: ubuntu-latest
    outputs:
      version: ${{ steps.set-version.outputs.version }}
    steps:
@@ -57,13 +65,13 @@ jobs:
          version: ${{ env.VERSION }}
          dockerhub-image-registry-username: ${{ secrets.DOCKERHUB_USERNAME }}
          dockerhub-image-registry-token: ${{ secrets.DOCKERHUB_TOKEN }}
-          build-dev-builder-ubuntu: ${{ inputs.release_dev_builder_ubuntu_image }}
-          build-dev-builder-centos: ${{ inputs.release_dev_builder_centos_image }}
-          build-dev-builder-android: ${{ inputs.release_dev_builder_android_image }}
+          build-dev-builder-ubuntu: ${{ inputs.release_dev_builder_ubuntu_image || github.event_name == 'push' }}
+          build-dev-builder-centos: ${{ inputs.release_dev_builder_centos_image || github.event_name == 'push' }}
+          build-dev-builder-android: ${{ inputs.release_dev_builder_android_image || github.event_name == 'push' }}

  release-dev-builder-images-ecr:
    name: Release dev builder images to AWS ECR
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    needs: [
      release-dev-builder-images
    ]
@@ -85,7 +93,7 @@ jobs:

      - name: Push dev-builder-ubuntu image
        shell: bash
-        if: ${{ inputs.release_dev_builder_ubuntu_image }}
+        if: ${{ inputs.release_dev_builder_ubuntu_image || github.event_name == 'push' }}
        env:
          IMAGE_VERSION: ${{ needs.release-dev-builder-images.outputs.version }}
          IMAGE_NAMESPACE: ${{ vars.IMAGE_NAMESPACE }}
@@ -106,7 +114,7 @@ jobs:

      - name: Push dev-builder-centos image
        shell: bash
-        if: ${{ inputs.release_dev_builder_centos_image }}
+        if: ${{ inputs.release_dev_builder_centos_image || github.event_name == 'push' }}
        env:
          IMAGE_VERSION: ${{ needs.release-dev-builder-images.outputs.version }}
          IMAGE_NAMESPACE: ${{ vars.IMAGE_NAMESPACE }}
@@ -127,7 +135,7 @@ jobs:

      - name: Push dev-builder-android image
        shell: bash
-        if: ${{ inputs.release_dev_builder_android_image }}
+        if: ${{ inputs.release_dev_builder_android_image || github.event_name == 'push' }}
        env:
          IMAGE_VERSION: ${{ needs.release-dev-builder-images.outputs.version }}
          IMAGE_NAMESPACE: ${{ vars.IMAGE_NAMESPACE }}
@@ -148,7 +156,7 @@ jobs:

  release-dev-builder-images-cn: # Note: Be careful issue: https://github.com/containers/skopeo/issues/1874 and we decide to use the latest stable skopeo container.
    name: Release dev builder images to CN region
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    needs: [
      release-dev-builder-images
    ]
@@ -162,7 +170,7 @@ jobs:

      - name: Push dev-builder-ubuntu image
        shell: bash
-        if: ${{ inputs.release_dev_builder_ubuntu_image }}
+        if: ${{ inputs.release_dev_builder_ubuntu_image || github.event_name == 'push' }}
        env:
          IMAGE_VERSION: ${{ needs.release-dev-builder-images.outputs.version }}
          IMAGE_NAMESPACE: ${{ vars.IMAGE_NAMESPACE }}
@@ -176,7 +184,7 @@ jobs:

      - name: Push dev-builder-centos image
        shell: bash
-        if: ${{ inputs.release_dev_builder_centos_image }}
+        if: ${{ inputs.release_dev_builder_centos_image || github.event_name == 'push' }}
        env:
          IMAGE_VERSION: ${{ needs.release-dev-builder-images.outputs.version }}
          IMAGE_NAMESPACE: ${{ vars.IMAGE_NAMESPACE }}
@@ -190,7 +198,7 @@ jobs:

      - name: Push dev-builder-android image
        shell: bash
-        if: ${{ inputs.release_dev_builder_android_image }}
+        if: ${{ inputs.release_dev_builder_android_image || github.event_name == 'push' }}
        env:
          IMAGE_VERSION: ${{ needs.release-dev-builder-images.outputs.version }}
          IMAGE_NAMESPACE: ${{ vars.IMAGE_NAMESPACE }}
@@ -201,3 +209,24 @@ jobs:
            quay.io/skopeo/stable:latest \
            copy -a docker://docker.io/$IMAGE_NAMESPACE/dev-builder-android:$IMAGE_VERSION \
            docker://$ACR_IMAGE_REGISTRY/$IMAGE_NAMESPACE/dev-builder-android:$IMAGE_VERSION
+  
+  update-dev-builder-image-tag:
+    name: Update dev-builder image tag
+    runs-on: ubuntu-latest
+    permissions:
+      contents: write
+      pull-requests: write
+    if: ${{ github.event_name == 'push' || inputs.update_dev_builder_image_tag }}
+    needs: [
+      release-dev-builder-images
+    ]
+    steps:
+      - name: Checkout repository
+        uses: actions/checkout@v4
+
+      - name: Update dev-builder image tag
+        shell: bash
+        env:
+          GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run: |
+          ./.github/scripts/update-dev-builder-version.sh ${{ needs.release-dev-builder-images.outputs.version }}
--- a/.github/workflows/release.yml
+++ b/.github/workflows/release.yml
@@ -18,11 +18,11 @@ on:
        description: The runner uses to build linux-amd64 artifacts
        default: ec2-c6i.4xlarge-amd64
        options:
-          - ubuntu-20.04
-          - ubuntu-20.04-8-cores
-          - ubuntu-20.04-16-cores
-          - ubuntu-20.04-32-cores
-          - ubuntu-20.04-64-cores
+          - ubuntu-22.04
+          - ubuntu-22.04-8-cores
+          - ubuntu-22.04-16-cores
+          - ubuntu-22.04-32-cores
+          - ubuntu-22.04-64-cores
          - ec2-c6i.xlarge-amd64 # 4C8G
          - ec2-c6i.2xlarge-amd64 # 8C16G
          - ec2-c6i.4xlarge-amd64 # 16C32G
@@ -91,13 +91,13 @@ env:
  # The scheduled version is '${{ env.NEXT_RELEASE_VERSION }}-nightly-YYYYMMDD', like v0.2.0-nigthly-20230313;
  NIGHTLY_RELEASE_PREFIX: nightly
  # Note: The NEXT_RELEASE_VERSION should be modified manually by every formal release.
-  NEXT_RELEASE_VERSION: v0.12.0
+  NEXT_RELEASE_VERSION: v0.14.0

 jobs:
  allocate-runners:
    name: Allocate runners
    if: ${{ github.repository == 'GreptimeTeam/greptimedb' }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    outputs:
      linux-amd64-runner: ${{ steps.start-linux-amd64-runner.outputs.label }}
      linux-arm64-runner: ${{ steps.start-linux-arm64-runner.outputs.label }}
@@ -299,7 +299,7 @@ jobs:
      build-linux-amd64-artifacts,
      build-linux-arm64-artifacts,
    ]
-    runs-on: ubuntu-2004-16-cores
+    runs-on: ubuntu-latest
    outputs:
      build-image-result: ${{ steps.set-build-image-result.outputs.build-image-result }}
    steps:
@@ -317,6 +317,7 @@ 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' }}

      - name: Set build image result
        id: set-build-image-result
@@ -334,7 +335,7 @@ jobs:
      build-windows-artifacts,
      release-images-to-dockerhub,
    ]
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    # 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.
@@ -361,8 +362,9 @@ jobs:
          aws-cn-secret-access-key: ${{ secrets.AWS_CN_SECRET_ACCESS_KEY }}
          aws-cn-region: ${{ vars.AWS_RELEASE_BUCKET_REGION }}
          dev-mode: false
+          upload-to-s3: true
          update-version-info: true
-          push-latest-tag: true
+          push-latest-tag: ${{ github.ref_type == 'tag' && !contains(github.ref_name, 'nightly') && github.event_name != 'schedule' }}

  publish-github-release:
    name: Create GitHub release and upload artifacts
@@ -375,7 +377,7 @@ jobs:
      build-windows-artifacts,
      release-images-to-dockerhub,
    ]
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v4
        with:
@@ -394,7 +396,7 @@ jobs:
    name: Stop linux-amd64 runner
    # Only run this job when the runner is allocated.
    if: ${{ always() }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    needs: [
      allocate-runners,
      build-linux-amd64-artifacts,
@@ -420,7 +422,7 @@ jobs:
    name: Stop linux-arm64 runner
    # Only run this job when the runner is allocated.
    if: ${{ always() }}
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    needs: [
      allocate-runners,
      build-linux-arm64-artifacts,
@@ -446,7 +448,7 @@ jobs:
    name: Bump doc version
    if: ${{ github.event_name == 'push' || github.event_name == 'schedule' }}
    needs: [allocate-runners]
-    runs-on: ubuntu-20.04
+    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.
@@ -473,7 +475,7 @@ jobs:
      build-macos-artifacts,
      build-windows-artifacts,
    ]
-    runs-on: ubuntu-20.04
+    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.
--- a/.github/workflows/semantic-pull-request.yml
+++ b/.github/workflows/semantic-pull-request.yml
@@ -7,9 +7,13 @@ on:
      - reopened
      - edited

+concurrency:
+  group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
+  cancel-in-progress: true
+
 jobs:
  check:
-    runs-on: ubuntu-20.04
+    runs-on: ubuntu-latest
    timeout-minutes: 10
    steps:
      - uses: actions/checkout@v4
--- a/.gitignore
+++ b/.gitignore
@@ -54,3 +54,6 @@ tests-fuzz/corpus/
 # Nix
 .direnv
 .envrc
+
+## default data home
+greptimedb_data
--- a/AUTHOR.md
+++ b/AUTHOR.md
@@ -3,30 +3,28 @@
 ## Individual Committers (in alphabetical order)

 * [CookiePieWw](https://github.com/CookiePieWw)
-* [KKould](https://github.com/KKould)
-* [NiwakaDev](https://github.com/NiwakaDev)
 * [etolbakov](https://github.com/etolbakov)
 * [irenjj](https://github.com/irenjj)
-* [tisonkun](https://github.com/tisonkun)
+* [KKould](https://github.com/KKould)
 * [Lanqing Yang](https://github.com/lyang24)
+* [NiwakaDev](https://github.com/NiwakaDev)
+* [tisonkun](https://github.com/tisonkun)
+

 ## Team Members (in alphabetical order)

-* [Breeze-P](https://github.com/Breeze-P)
-* [GrepTime](https://github.com/GrepTime)
-* [MichaelScofield](https://github.com/MichaelScofield)
-* [Wenjie0329](https://github.com/Wenjie0329)
-* [WenyXu](https://github.com/WenyXu)
-* [ZonaHex](https://github.com/ZonaHex)
 * [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)
 * [fengjiachun](https://github.com/fengjiachun)
 * [fengys1996](https://github.com/fengys1996)
+* [GrepTime](https://github.com/GrepTime)
 * [holalengyu](https://github.com/holalengyu)
 * [killme2008](https://github.com/killme2008)
+* [MichaelScofield](https://github.com/MichaelScofield)
 * [nicecui](https://github.com/nicecui)
 * [paomian](https://github.com/paomian)
 * [shuiyisong](https://github.com/shuiyisong)
@@ -34,11 +32,14 @@
 * [sunng87](https://github.com/sunng87)
 * [v0y4g3r](https://github.com/v0y4g3r)
 * [waynexia](https://github.com/waynexia)
+* [Wenjie0329](https://github.com/Wenjie0329)
+* [WenyXu](https://github.com/WenyXu)
 * [xtang](https://github.com/xtang)
 * [zhaoyingnan01](https://github.com/zhaoyingnan01)
 * [zhongzc](https://github.com/zhongzc)
+* [ZonaHex](https://github.com/ZonaHex)
 * [zyy17](https://github.com/zyy17)

 ## All Contributors

-[![All Contributors](https://contrib.rocks/image?repo=GreptimeTeam/greptimedb)](https://github.com/GreptimeTeam/greptimedb/graphs/contributors)
+To see the full list of contributors, please visit our [Contributors page](https://github.com/GreptimeTeam/greptimedb/graphs/contributors)
--- a/Cargo.lock
+++ b/Cargo.lock
--- a/Cargo.toml
+++ b/Cargo.toml
@@ -29,6 +29,7 @@ members = [
    "src/common/query",
    "src/common/recordbatch",
    "src/common/runtime",
+    "src/common/session",
    "src/common/substrait",
    "src/common/telemetry",
    "src/common/test-util",
@@ -67,7 +68,7 @@ members = [
 resolver = "2"

 [workspace.package]
-version = "0.12.0"
+version = "0.14.4"
 edition = "2021"
 license = "Apache-2.0"

@@ -76,7 +77,6 @@ clippy.print_stdout = "warn"
 clippy.print_stderr = "warn"
 clippy.dbg_macro = "warn"
 clippy.implicit_clone = "warn"
-clippy.readonly_write_lock = "allow"
 rust.unknown_lints = "deny"
 rust.unexpected_cfgs = { level = "warn", check-cfg = ['cfg(tokio_unstable)'] }

@@ -88,20 +88,20 @@ rust.unexpected_cfgs = { level = "warn", check-cfg = ['cfg(tokio_unstable)'] }
 #
 # See for more detaiils: https://github.com/rust-lang/cargo/issues/11329
 ahash = { version = "0.8", features = ["compile-time-rng"] }
-aquamarine = "0.3"
-arrow = { version = "53.0.0", features = ["prettyprint"] }
-arrow-array = { version = "53.0.0", default-features = false, features = ["chrono-tz"] }
-arrow-flight = "53.0"
-arrow-ipc = { version = "53.0.0", default-features = false, features = ["lz4", "zstd"] }
-arrow-schema = { version = "53.0", features = ["serde"] }
+aquamarine = "0.6"
+arrow = { version = "54.2", features = ["prettyprint"] }
+arrow-array = { version = "54.2", default-features = false, features = ["chrono-tz"] }
+arrow-flight = "54.2"
+arrow-ipc = { version = "54.2", default-features = false, features = ["lz4", "zstd"] }
+arrow-schema = { version = "54.2", features = ["serde"] }
 async-stream = "0.3"
 async-trait = "0.1"
 # Remember to update axum-extra, axum-macros when updating axum
 axum = "0.8"
 axum-extra = "0.10"
-axum-macros = "0.4"
+axum-macros = "0.5"
 backon = "1"
-base64 = "0.21"
+base64 = "0.22"
 bigdecimal = "0.4.2"
 bitflags = "2.4.1"
 bytemuck = "1.12"
@@ -111,42 +111,43 @@ chrono-tz = "0.10.1"
 clap = { version = "4.4", features = ["derive"] }
 config = "0.13.0"
 crossbeam-utils = "0.8"
-dashmap = "5.4"
-datafusion = { git = "https://github.com/apache/datafusion.git", rev = "2464703c84c400a09cc59277018813f0e797bb4e" }
-datafusion-common = { git = "https://github.com/apache/datafusion.git", rev = "2464703c84c400a09cc59277018813f0e797bb4e" }
-datafusion-expr = { git = "https://github.com/apache/datafusion.git", rev = "2464703c84c400a09cc59277018813f0e797bb4e" }
-datafusion-functions = { git = "https://github.com/apache/datafusion.git", rev = "2464703c84c400a09cc59277018813f0e797bb4e" }
-datafusion-optimizer = { git = "https://github.com/apache/datafusion.git", rev = "2464703c84c400a09cc59277018813f0e797bb4e" }
-datafusion-physical-expr = { git = "https://github.com/apache/datafusion.git", rev = "2464703c84c400a09cc59277018813f0e797bb4e" }
-datafusion-physical-plan = { git = "https://github.com/apache/datafusion.git", rev = "2464703c84c400a09cc59277018813f0e797bb4e" }
-datafusion-sql = { git = "https://github.com/apache/datafusion.git", rev = "2464703c84c400a09cc59277018813f0e797bb4e" }
-datafusion-substrait = { git = "https://github.com/apache/datafusion.git", rev = "2464703c84c400a09cc59277018813f0e797bb4e" }
-deadpool = "0.10"
-deadpool-postgres = "0.12"
-derive_builder = "0.12"
+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" }
+deadpool = "0.12"
+deadpool-postgres = "0.14"
+derive_builder = "0.20"
 dotenv = "0.15"
 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 = "fc09a5696608d2a0aa718cc835d5cb9c4e8e9387" }
+greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "4d4136692fe7fbbd509ebc8c902f6afcc0ce61e4" }
 hex = "0.4"
 http = "1"
 humantime = "2.1"
 humantime-serde = "1.1"
 hyper = "1.1"
 hyper-util = "0.1"
-itertools = "0.10"
+itertools = "0.14"
 jsonb = { git = "https://github.com/databendlabs/jsonb.git", rev = "8c8d2fc294a39f3ff08909d60f718639cfba3875", default-features = false }
 lazy_static = "1.4"
 local-ip-address = "0.6"
 loki-proto = { git = "https://github.com/GreptimeTeam/loki-proto.git", rev = "1434ecf23a2654025d86188fb5205e7a74b225d3" }
 meter-core = { git = "https://github.com/GreptimeTeam/greptime-meter.git", rev = "5618e779cf2bb4755b499c630fba4c35e91898cb" }
-mockall = "0.11.4"
+mockall = "0.13"
 moka = "0.12"
 nalgebra = "0.33"
-notify = "6.1"
+notify = "8.0"
 num_cpus = "1.16"
+object_store_opendal = "0.50"
 once_cell = "1.18"
 opentelemetry-proto = { version = "0.27", features = [
    "gen-tonic",
@@ -156,15 +157,17 @@ opentelemetry-proto = { version = "0.27", features = [
    "logs",
 ] }
 parking_lot = "0.12"
-parquet = { version = "53.0.0", default-features = false, features = ["arrow", "async", "object_store"] }
+parquet = { version = "54.2", default-features = false, features = ["arrow", "async", "object_store"] }
 paste = "1.0"
 pin-project = "1.0"
 prometheus = { version = "0.13.3", features = ["process"] }
-promql-parser = { version = "0.4.3", features = ["ser"] }
-prost = "0.13"
+promql-parser = { git = "https://github.com/GreptimeTeam/promql-parser.git", rev = "0410e8b459dda7cb222ce9596f8bf3971bd07bd2", features = [
+    "ser",
+] }
+prost = { version = "0.13", features = ["no-recursion-limit"] }
 raft-engine = { version = "0.4.1", default-features = false }
-rand = "0.8"
-ratelimit = "0.9"
+rand = "0.9"
+ratelimit = "0.10"
 regex = "1.8"
 regex-automata = "0.4"
 reqwest = { version = "0.12", default-features = false, features = [
@@ -176,29 +179,36 @@ reqwest = { version = "0.12", default-features = false, features = [
 rskafka = { git = "https://github.com/influxdata/rskafka.git", rev = "75535b5ad9bae4a5dbb582c82e44dfd81ec10105", features = [
    "transport-tls",
 ] }
-rstest = "0.21"
+rstest = "0.25"
 rstest_reuse = "0.7"
 rust_decimal = "1.33"
 rustc-hash = "2.0"
-rustls = { version = "0.23.20", default-features = false } # override by patch, see [patch.crates-io]
+# 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 }
 serde = { version = "1.0", features = ["derive"] }
 serde_json = { version = "1.0", features = ["float_roundtrip"] }
 serde_with = "3"
-shadow-rs = "0.38"
+shadow-rs = "1.1"
+simd-json = "0.15"
 similar-asserts = "1.6.0"
 smallvec = { version = "1", features = ["serde"] }
 snafu = "0.8"
-sysinfo = "0.30"
-# on branch v0.52.x
-sqlparser = { git = "https://github.com/GreptimeTeam/sqlparser-rs.git", rev = "71dd86058d2af97b9925093d40c4e03360403170", features = [
+sqlparser = { git = "https://github.com/GreptimeTeam/sqlparser-rs.git", rev = "0cf6c04490d59435ee965edd2078e8855bd8471e", features = [
    "visitor",
    "serde",
-] } # on branch v0.44.x
-strum = { version = "0.25", features = ["derive"] }
+] } # branch = "v0.54.x"
+sqlx = { version = "0.8", features = [
+    "runtime-tokio-rustls",
+    "mysql",
+    "postgres",
+    "chrono",
+] }
+strum = { version = "0.27", features = ["derive"] }
+sysinfo = "0.33"
 tempfile = "3"
 tokio = { version = "1.40", features = ["full"] }
 tokio-postgres = "0.7"
-tokio-rustls = { version = "0.26.0", default-features = false } # override by patch, see [patch.crates-io]
+tokio-rustls = { version = "0.26.2", default-features = false }
 tokio-stream = "0.1"
 tokio-util = { version = "0.7", features = ["io-util", "compat"] }
 toml = "0.8.8"
@@ -241,6 +251,7 @@ common-procedure-test = { path = "src/common/procedure-test" }
 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-telemetry = { path = "src/common/telemetry" }
 common-test-util = { path = "src/common/test-util" }
 common-time = { path = "src/common/time" }
@@ -260,6 +271,9 @@ metric-engine = { path = "src/metric-engine" }
 mito2 = { path = "src/mito2" }
 object-store = { path = "src/object-store" }
 operator = { path = "src/operator" }
+otel-arrow-rust = { git = "https://github.com/open-telemetry/otel-arrow", rev = "5d551412d2a12e689cde4d84c14ef29e36784e51", features = [
+    "server",
+] }
 partition = { path = "src/partition" }
 pipeline = { path = "src/pipeline" }
 plugins = { path = "src/plugins" }
@@ -273,15 +287,6 @@ store-api = { path = "src/store-api" }
 substrait = { path = "src/common/substrait" }
 table = { path = "src/table" }

-[patch.crates-io]
-# change all rustls dependencies to use our fork to default to `ring` to make it "just work"
-hyper-rustls = { git = "https://github.com/GreptimeTeam/hyper-rustls", rev = "a951e03" } # version = "0.27.5" with ring patch
-rustls = { git = "https://github.com/GreptimeTeam/rustls", rev = "34fd0c6" }             # version = "0.23.20" with ring patch
-tokio-rustls = { git = "https://github.com/GreptimeTeam/tokio-rustls", rev = "4604ca6" } # version = "0.26.0" with ring patch
-# This is commented, since we are not using aws-lc-sys, if we need to use it, we need to uncomment this line or use a release after this commit, or it wouldn't compile with gcc < 8.1
-# see https://github.com/aws/aws-lc-rs/pull/526
-# aws-lc-sys = { git ="https://github.com/aws/aws-lc-rs", rev = "556558441e3494af4b156ae95ebc07ebc2fd38aa" }
-
 [workspace.dependencies.meter-macros]
 git = "https://github.com/GreptimeTeam/greptime-meter.git"
 rev = "5618e779cf2bb4755b499c630fba4c35e91898cb"
--- a/19
+++ b/19
@@ -8,7 +8,7 @@ CARGO_BUILD_OPTS := --locked
 IMAGE_REGISTRY ?= docker.io
 IMAGE_NAMESPACE ?= greptime
 IMAGE_TAG ?= latest
-DEV_BUILDER_IMAGE_TAG ?= 2024-12-25-9d0fa5d5-20250124085746
+DEV_BUILDER_IMAGE_TAG ?= 2024-12-25-a71b93dd-20250305072908
 BUILDX_MULTI_PLATFORM_BUILD ?= false
 BUILDX_BUILDER_NAME ?= gtbuilder
 BASE_IMAGE ?= ubuntu
@@ -32,6 +32,10 @@ ifneq ($(strip $(BUILD_JOBS)),)
 	NEXTEST_OPTS += --build-jobs=${BUILD_JOBS}
 endif

+ifneq ($(strip $(BUILD_JOBS)),)
+	SQLNESS_OPTS += --jobs ${BUILD_JOBS}
+endif
+
 ifneq ($(strip $(CARGO_PROFILE)),)
 	CARGO_BUILD_OPTS += --profile ${CARGO_PROFILE}
 endif
@@ -60,6 +64,8 @@ ifeq ($(BUILDX_MULTI_PLATFORM_BUILD), all)
 	BUILDX_MULTI_PLATFORM_BUILD_OPTS := --platform linux/amd64,linux/arm64 --push
 else ifeq ($(BUILDX_MULTI_PLATFORM_BUILD), amd64)
 	BUILDX_MULTI_PLATFORM_BUILD_OPTS := --platform linux/amd64 --push
+else ifeq ($(BUILDX_MULTI_PLATFORM_BUILD), arm64)
+	BUILDX_MULTI_PLATFORM_BUILD_OPTS := --platform linux/arm64 --push
 else
 	BUILDX_MULTI_PLATFORM_BUILD_OPTS := -o type=docker
 endif
@@ -191,6 +197,7 @@ fix-clippy: ## Fix clippy violations.
 fmt-check: ## Check code format.
 	cargo fmt --all -- --check
 	python3 scripts/check-snafu.py
+	python3 scripts/check-super-imports.py

 .PHONY: start-etcd
 start-etcd: ## Start single node etcd for testing purpose.
@@ -215,6 +222,16 @@ start-cluster: ## Start the greptimedb cluster with etcd by using docker compose
 stop-cluster: ## Stop the greptimedb cluster that created by docker compose.
 	docker compose -f ./docker/docker-compose/cluster-with-etcd.yaml stop

+##@ Grafana
+
+.PHONY: check-dashboards
+check-dashboards: ## Check the Grafana dashboards.
+	@./grafana/scripts/check.sh
+
+.PHONY: dashboards
+dashboards: ## Generate the Grafana dashboards for standalone mode and intermediate dashboards.
+	@./grafana/scripts/gen-dashboards.sh
+
 ##@ Docs
 config-docs: ## Generate configuration documentation from toml files.
 	docker run --rm \
--- a/README.md
+++ b/README.md
@@ -6,7 +6,7 @@
  </picture>
 </p>

-<h2 align="center">Unified & Cost-Effective Time Series Database for Metrics, Logs, and Events</h2>
+<h2 align="center">Real-Time & Cloud-Native Observability  Database<br/>for metrics, logs, and traces</h2>

 <div align="center">
 <h3 align="center">
@@ -62,31 +62,35 @@

 ## Introduction

-**GreptimeDB** is an open-source unified & cost-effective time-series database for **Metrics**, **Logs**, and **Events** (also **Traces** in plan). You can gain real-time insights from Edge to Cloud at Any Scale.
+**GreptimeDB** is an open-source, cloud-native, unified & cost-effective observability database for **Metrics**, **Logs**, and **Traces**. You can gain real-time insights from Edge to Cloud at Any Scale.
+
+## News
+
+**[GreptimeDB tops JSONBench's billion-record cold run test!](https://greptime.com/blogs/2025-03-18-jsonbench-greptimedb-performance)**

 ## Why GreptimeDB

-Our core developers have been building time-series data platforms for years. Based on our best practices, GreptimeDB was born to give you:
+Our core developers have been building observability data platforms for years. Based on our best practices, GreptimeDB was born to give you:

-* **Unified Processing of Metrics, Logs, and Events**
+* **Unified Processing of Observability Data**

-  GreptimeDB unifies time series data processing by treating all data - whether metrics, logs, or events - as timestamped events with context. Users can analyze this data using either [SQL](https://docs.greptime.com/user-guide/query-data/sql) or [PromQL](https://docs.greptime.com/user-guide/query-data/promql) and leverage stream processing ([Flow](https://docs.greptime.com/user-guide/flow-computation/overview)) to enable continuous aggregation. [Read more](https://docs.greptime.com/user-guide/concepts/data-model).
+  A unified database that treats metrics, logs, and traces as timestamped wide events with context, supporting [SQL](https://docs.greptime.com/user-guide/query-data/sql)/[PromQL](https://docs.greptime.com/user-guide/query-data/promql) queries and [stream processing](https://docs.greptime.com/user-guide/flow-computation/overview) to simplify complex data stacks.
+
+* **High Performance and Cost-effective**
+
+   Written in Rust, combines a distributed query engine with [rich indexing](https://docs.greptime.com/user-guide/manage-data/data-index) (inverted, fulltext, skip data, and vector) and optimized columnar storage to deliver sub-second responses on petabyte-scale data and high-cost efficiency.

 * **Cloud-native Distributed Database**

  Built for [Kubernetes](https://docs.greptime.com/user-guide/deployments/deploy-on-kubernetes/greptimedb-operator-management). GreptimeDB achieves seamless scalability with its [cloud-native architecture](https://docs.greptime.com/user-guide/concepts/architecture) of separated compute and storage, built on object storage (AWS S3, Azure Blob Storage, etc.) while enabling cross-cloud deployment through a unified data access layer.

-* **Performance and Cost-effective**
+* **Developer-Friendly**

-  Written in pure Rust for superior performance and reliability. GreptimeDB features a distributed query engine with intelligent indexing to handle high cardinality data efficiently. Its optimized columnar storage achieves 50x cost efficiency on cloud object storage through advanced compression. [Benchmark reports](https://www.greptime.com/blogs/2024-09-09-report-summary).
+  Access standardized SQL/PromQL interfaces through built-in web dashboard, REST API, and MySQL/PostgreSQL protocols. Supports widely adopted data ingestion [protocols](https://docs.greptime.com/user-guide/protocols/overview) for seamless migration and integration.

-* **Cloud-Edge Collaboration**
+* **Flexible Deployment Options**

-  GreptimeDB seamlessly operates across cloud and edge (ARM/Android/Linux), providing consistent APIs and control plane for unified data management and efficient synchronization. [Learn how to run on Android](https://docs.greptime.com/user-guide/deployments/run-on-android/).
-
-* **Multi-protocol Ingestion, SQL & PromQL Ready**
-
-  Widely adopted database protocols and APIs, including MySQL, PostgreSQL, InfluxDB, OpenTelemetry, Loki and Prometheus, etc.  Effortless Adoption & Seamless Migration. [Supported Protocols Overview](https://docs.greptime.com/user-guide/protocols/overview).
+  Deploy GreptimeDB anywhere from ARM-based edge devices to cloud environments with unified APIs and bandwidth-efficient data synchronization. Query edge and cloud data seamlessly through identical APIs. [Learn how to run on Android](https://docs.greptime.com/user-guide/deployments/run-on-android/).

 For more detailed info please read  [Why GreptimeDB](https://docs.greptime.com/user-guide/concepts/why-greptimedb).

@@ -112,7 +116,7 @@ Start a GreptimeDB container with:

 ```shell
 docker run -p 127.0.0.1:4000-4003:4000-4003 \
-  -v "$(pwd)/greptimedb:/tmp/greptimedb" \
+  -v "$(pwd)/greptimedb:./greptimedb_data" \
  --name greptime --rm \
  greptime/greptimedb:latest standalone start \
  --http-addr 0.0.0.0:4000 \
@@ -229,3 +233,5 @@ Special thanks to all the contributors who have propelled GreptimeDB forward. Fo
 - GreptimeDB's query engine is powered by [Apache Arrow DataFusion™](https://arrow.apache.org/datafusion/).
 - [Apache OpenDAL™](https://opendal.apache.org) gives GreptimeDB a very general and elegant data access abstraction layer.
 - GreptimeDB's meta service is based on [etcd](https://etcd.io/).
+
+<img alt="Known Users" src="https://greptime.com/logo/img/users.png"/>
--- a/config/config.md
+++ b/config/config.md
@@ -12,7 +12,6 @@

 | Key | Type | Default | Descriptions |
 | --- | -----| ------- | ----------- |
-| `mode` | String | `standalone` | The running mode of the datanode. It can be `standalone` or `distributed`. |
 | `default_timezone` | String | Unset | The default timezone of the server. |
 | `init_regions_in_background` | Bool | `false` | Initialize all regions in the background during the startup.<br/>By default, it provides services after all regions have been initialized. |
 | `init_regions_parallelism` | Integer | `16` | Parallelism of initializing regions. |
@@ -24,7 +23,7 @@
 | `runtime.compact_rt_size` | Integer | `4` | The number of threads to execute the runtime for global write operations. |
 | `http` | -- | -- | The HTTP server options. |
 | `http.addr` | String | `127.0.0.1:4000` | The address to bind the HTTP server. |
-| `http.timeout` | String | `30s` | HTTP request timeout. Set to 0 to disable timeout. |
+| `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. |
 | `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. |
@@ -86,10 +85,6 @@
 | `wal.create_topic_timeout` | String | `30s` | Above which a topic creation operation will be cancelled.<br/>**It's only used when the provider is `kafka`**. |
 | `wal.max_batch_bytes` | String | `1MB` | The max size of a single producer batch.<br/>Warning: Kafka has a default limit of 1MB per message in a topic.<br/>**It's only used when the provider is `kafka`**. |
 | `wal.consumer_wait_timeout` | String | `100ms` | The consumer wait timeout.<br/>**It's only used when the provider is `kafka`**. |
-| `wal.backoff_init` | String | `500ms` | The initial backoff delay.<br/>**It's only used when the provider is `kafka`**. |
-| `wal.backoff_max` | String | `10s` | The maximum backoff delay.<br/>**It's only used when the provider is `kafka`**. |
-| `wal.backoff_base` | Integer | `2` | The exponential backoff rate, i.e. next backoff = base * current backoff.<br/>**It's only used when the provider is `kafka`**. |
-| `wal.backoff_deadline` | String | `5mins` | The deadline of retries.<br/>**It's only used when the provider is `kafka`**. |
 | `wal.overwrite_entry_start_id` | Bool | `false` | Ignore missing entries during read WAL.<br/>**It's only used when the provider is `kafka`**.<br/><br/>This option ensures that when Kafka messages are deleted, the system<br/>can still successfully replay memtable data without throwing an<br/>out-of-range error.<br/>However, enabling this option might lead to unexpected data loss,<br/>as the system will skip over missing entries instead of treating<br/>them as critical errors. |
 | `metadata_store` | -- | -- | Metadata storage options. |
 | `metadata_store.file_size` | String | `64MB` | The size of the metadata store log file. |
@@ -98,10 +93,13 @@
 | `procedure` | -- | -- | Procedure storage options. |
 | `procedure.max_retry_times` | Integer | `3` | Procedure max retry time. |
 | `procedure.retry_delay` | String | `500ms` | Initial retry delay of procedures, increases exponentially |
+| `procedure.max_running_procedures` | Integer | `128` | Max running procedures.<br/>The maximum number of procedures that can be running at the same time.<br/>If the number of running procedures exceeds this limit, the procedure will be rejected. |
 | `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. |
+| `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 | `/tmp/greptimedb/` | 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. |
@@ -152,6 +150,7 @@
 | `region_engine.mito.index` | -- | -- | The options for index in Mito engine. |
 | `region_engine.mito.index.aux_path` | String | `""` | Auxiliary directory path for the index in filesystem, used to store intermediate files for<br/>creating the index and staging files for searching the index, defaults to `{data_home}/index_intermediate`.<br/>The default name for this directory is `index_intermediate` for backward compatibility.<br/><br/>This path contains two subdirectories:<br/>- `__intm`: for storing intermediate files used during creating index.<br/>- `staging`: for storing staging files used during searching index. |
 | `region_engine.mito.index.staging_size` | String | `2GB` | The max capacity of the staging directory. |
+| `region_engine.mito.index.staging_ttl` | String | `7d` | The TTL of the staging directory.<br/>Defaults to 7 days.<br/>Setting it to "0s" to disable TTL. |
 | `region_engine.mito.index.metadata_cache_size` | String | `64MiB` | Cache size for inverted index metadata. |
 | `region_engine.mito.index.content_cache_size` | String | `128MiB` | Cache size for inverted index content. |
 | `region_engine.mito.index.content_cache_page_size` | String | `64KiB` | Page size for inverted index content cache. |
@@ -180,7 +179,7 @@
 | `region_engine.metric` | -- | -- | Metric engine options. |
 | `region_engine.metric.experimental_sparse_primary_key_encoding` | Bool | `false` | Whether to enable the experimental sparse primary key encoding. |
 | `logging` | -- | -- | The logging options. |
-| `logging.dir` | String | `/tmp/greptimedb/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
+| `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. |
@@ -221,7 +220,7 @@
 | `heartbeat.retry_interval` | String | `3s` | Interval for retrying to send heartbeat messages to the metasrv. |
 | `http` | -- | -- | The HTTP server options. |
 | `http.addr` | String | `127.0.0.1:4000` | The address to bind the HTTP server. |
-| `http.timeout` | String | `30s` | HTTP request timeout. Set to 0 to disable timeout. |
+| `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. |
 | `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. |
@@ -273,12 +272,14 @@
 | `meta_client.metadata_cache_max_capacity` | Integer | `100000` | The configuration about the cache of the metadata. |
 | `meta_client.metadata_cache_ttl` | String | `10m` | TTL of the metadata cache. |
 | `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. |
 | `datanode` | -- | -- | Datanode options. |
 | `datanode.client` | -- | -- | Datanode client options. |
 | `datanode.client.connect_timeout` | String | `10s` | -- |
 | `datanode.client.tcp_nodelay` | Bool | `true` | -- |
 | `logging` | -- | -- | The logging options. |
-| `logging.dir` | String | `/tmp/greptimedb/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
+| `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. |
@@ -307,7 +308,7 @@

 | Key | Type | Default | Descriptions |
 | --- | -----| ------- | ----------- |
-| `data_home` | String | `/tmp/metasrv/` | The working home directory. |
+| `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`. |
 | `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" |
@@ -318,6 +319,8 @@
 | `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). |
+| `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. |
@@ -326,6 +329,7 @@
 | `procedure.max_retry_times` | Integer | `12` | Procedure max retry time. |
 | `procedure.retry_delay` | String | `500ms` | Initial retry delay of procedures, increases exponentially |
 | `procedure.max_metadata_value_size` | String | `1500KiB` | Auto split large value<br/>GreptimeDB procedure uses etcd as the default metadata storage backend.<br/>The etcd the maximum size of any request is 1.5 MiB<br/>1500KiB = 1536KiB (1.5MiB) - 36KiB (reserved size of key)<br/>Comments out the `max_metadata_value_size`, for don't split large value (no limit). |
+| `procedure.max_running_procedures` | Integer | `128` | Max running procedures.<br/>The maximum number of procedures that can be running at the same time.<br/>If the number of running procedures exceeds this limit, the procedure will be rejected. |
 | `failure_detector` | -- | -- | -- |
 | `failure_detector.threshold` | Float | `8.0` | The threshold value used by the failure detector to determine failure conditions. |
 | `failure_detector.min_std_deviation` | String | `100ms` | The minimum standard deviation of the heartbeat intervals, used to calculate acceptable variations. |
@@ -340,17 +344,16 @@
 | `wal.provider` | String | `raft_engine` | -- |
 | `wal.broker_endpoints` | Array | -- | The broker endpoints of the Kafka cluster. |
 | `wal.auto_create_topics` | Bool | `true` | Automatically create topics for WAL.<br/>Set to `true` to automatically create topics for WAL.<br/>Otherwise, use topics named `topic_name_prefix_[0..num_topics)` |
+| `wal.auto_prune_interval` | String | `0s` | Interval of automatically WAL pruning.<br/>Set to `0s` to disable automatically WAL pruning which delete unused remote WAL entries periodically. |
+| `wal.trigger_flush_threshold` | Integer | `0` | The threshold to trigger a flush operation of a region in automatically WAL pruning.<br/>Metasrv will send a flush request to flush the region when:<br/>`trigger_flush_threshold` + `prunable_entry_id` < `max_prunable_entry_id`<br/>where:<br/>- `prunable_entry_id` is the maximum entry id that can be pruned of the region.<br/>- `max_prunable_entry_id` is the maximum prunable entry id among all regions in the same topic.<br/>Set to `0` to disable the flush operation. |
+| `wal.auto_prune_parallelism` | Integer | `10` | Concurrent task limit for automatically WAL pruning. |
 | `wal.num_topics` | Integer | `64` | Number of topics. |
 | `wal.selector_type` | String | `round_robin` | Topic selector type.<br/>Available selector types:<br/>- `round_robin` (default) |
 | `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. |
-| `wal.backoff_init` | String | `500ms` | The initial backoff for kafka clients. |
-| `wal.backoff_max` | String | `10s` | The maximum backoff for kafka clients. |
-| `wal.backoff_base` | Integer | `2` | Exponential backoff rate, i.e. next backoff = base * current backoff. |
-| `wal.backoff_deadline` | String | `5mins` | Stop reconnecting if the total wait time reaches the deadline. If this config is missing, the reconnecting won't terminate. |
 | `logging` | -- | -- | The logging options. |
-| `logging.dir` | String | `/tmp/greptimedb/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
+| `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. |
@@ -379,7 +382,6 @@

 | Key | Type | Default | Descriptions |
 | --- | -----| ------- | ----------- |
-| `mode` | String | `standalone` | The running mode of the datanode. It can be `standalone` or `distributed`. |
 | `node_id` | Integer | Unset | The datanode identifier and should be unique in the cluster. |
 | `require_lease_before_startup` | Bool | `false` | Start services after regions have obtained leases.<br/>It will block the datanode start if it can't receive leases in the heartbeat from metasrv. |
 | `init_regions_in_background` | Bool | `false` | Initialize all regions in the background during the startup.<br/>By default, it provides services after all regions have been initialized. |
@@ -388,7 +390,7 @@
 | `enable_telemetry` | Bool | `true` | Enable telemetry to collect anonymous usage data. Enabled by default. |
 | `http` | -- | -- | The HTTP server options. |
 | `http.addr` | String | `127.0.0.1:4000` | The address to bind the HTTP server. |
-| `http.timeout` | String | `30s` | HTTP request timeout. Set to 0 to disable timeout. |
+| `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. |
 | `grpc` | -- | -- | The gRPC server options. |
 | `grpc.bind_addr` | String | `127.0.0.1:3001` | The address to bind the gRPC server. |
@@ -432,15 +434,13 @@
 | `wal.broker_endpoints` | Array | -- | The Kafka broker endpoints.<br/>**It's only used when the provider is `kafka`**. |
 | `wal.max_batch_bytes` | String | `1MB` | The max size of a single producer batch.<br/>Warning: Kafka has a default limit of 1MB per message in a topic.<br/>**It's only used when the provider is `kafka`**. |
 | `wal.consumer_wait_timeout` | String | `100ms` | The consumer wait timeout.<br/>**It's only used when the provider is `kafka`**. |
-| `wal.backoff_init` | String | `500ms` | The initial backoff delay.<br/>**It's only used when the provider is `kafka`**. |
-| `wal.backoff_max` | String | `10s` | The maximum backoff delay.<br/>**It's only used when the provider is `kafka`**. |
-| `wal.backoff_base` | Integer | `2` | The exponential backoff rate, i.e. next backoff = base * current backoff.<br/>**It's only used when the provider is `kafka`**. |
-| `wal.backoff_deadline` | String | `5mins` | The deadline of retries.<br/>**It's only used when the provider is `kafka`**. |
 | `wal.create_index` | Bool | `true` | Whether to enable WAL index creation.<br/>**It's only used when the provider is `kafka`**. |
 | `wal.dump_index_interval` | String | `60s` | The interval for dumping WAL indexes.<br/>**It's only used when the provider is `kafka`**. |
 | `wal.overwrite_entry_start_id` | Bool | `false` | Ignore missing entries during read WAL.<br/>**It's only used when the provider is `kafka`**.<br/><br/>This option ensures that when Kafka messages are deleted, the system<br/>can still successfully replay memtable data without throwing an<br/>out-of-range error.<br/>However, enabling this option might lead to unexpected data loss,<br/>as the system will skip over missing entries instead of treating<br/>them as critical errors. |
+| `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 | `/tmp/greptimedb/` | 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. |
@@ -491,6 +491,7 @@
 | `region_engine.mito.index` | -- | -- | The options for index in Mito engine. |
 | `region_engine.mito.index.aux_path` | String | `""` | Auxiliary directory path for the index in filesystem, used to store intermediate files for<br/>creating the index and staging files for searching the index, defaults to `{data_home}/index_intermediate`.<br/>The default name for this directory is `index_intermediate` for backward compatibility.<br/><br/>This path contains two subdirectories:<br/>- `__intm`: for storing intermediate files used during creating index.<br/>- `staging`: for storing staging files used during searching index. |
 | `region_engine.mito.index.staging_size` | String | `2GB` | The max capacity of the staging directory. |
+| `region_engine.mito.index.staging_ttl` | String | `7d` | The TTL of the staging directory.<br/>Defaults to 7 days.<br/>Setting it to "0s" to disable TTL. |
 | `region_engine.mito.index.metadata_cache_size` | String | `64MiB` | Cache size for inverted index metadata. |
 | `region_engine.mito.index.content_cache_size` | String | `128MiB` | Cache size for inverted index content. |
 | `region_engine.mito.index.content_cache_page_size` | String | `64KiB` | Page size for inverted index content cache. |
@@ -519,7 +520,7 @@
 | `region_engine.metric` | -- | -- | Metric engine options. |
 | `region_engine.metric.experimental_sparse_primary_key_encoding` | Bool | `false` | Whether to enable the experimental sparse primary key encoding. |
 | `logging` | -- | -- | The logging options. |
-| `logging.dir` | String | `/tmp/greptimedb/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
+| `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. |
@@ -548,7 +549,6 @@

 | Key | Type | Default | Descriptions |
 | --- | -----| ------- | ----------- |
-| `mode` | String | `distributed` | The running mode of the flownode. It can be `standalone` or `distributed`. |
 | `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. |
@@ -560,7 +560,7 @@
 | `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 | `30s` | HTTP request timeout. Set to 0 to disable timeout. |
+| `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. |
 | `meta_client` | -- | -- | The metasrv client options. |
 | `meta_client.metasrv_addrs` | Array | -- | The addresses of the metasrv. |
@@ -576,7 +576,7 @@
 | `heartbeat.interval` | String | `3s` | Interval for sending heartbeat messages to the metasrv. |
 | `heartbeat.retry_interval` | String | `3s` | Interval for retrying to send heartbeat messages to the metasrv. |
 | `logging` | -- | -- | The logging options. |
-| `logging.dir` | String | `/tmp/greptimedb/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
+| `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. |
--- a/config/datanode.example.toml
+++ b/config/datanode.example.toml
@@ -1,6 +1,3 @@
-## The running mode of the datanode. It can be `standalone` or `distributed`.
-mode = "standalone"
-
 ## The datanode identifier and should be unique in the cluster.
 ## @toml2docs:none-default
 node_id = 42
@@ -27,7 +24,7 @@ max_concurrent_queries = 0
 ## The address to bind the HTTP server.
 addr = "127.0.0.1:4000"
 ## HTTP request timeout. Set to 0 to disable timeout.
-timeout = "30s"
+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.
@@ -119,7 +116,7 @@ provider = "raft_engine"
 ## The directory to store the WAL files.
 ## **It's only used when the provider is `raft_engine`**.
 ## @toml2docs:none-default
-dir = "/tmp/greptimedb/wal"
+dir = "./greptimedb_data/wal"

 ## The size of the WAL segment file.
 ## **It's only used when the provider is `raft_engine`**.
@@ -169,22 +166,6 @@ max_batch_bytes = "1MB"
 ## **It's only used when the provider is `kafka`**.
 consumer_wait_timeout = "100ms"

-## The initial backoff delay.
-## **It's only used when the provider is `kafka`**.
-backoff_init = "500ms"
-
-## The maximum backoff delay.
-## **It's only used when the provider is `kafka`**.
-backoff_max = "10s"
-
-## The exponential backoff rate, i.e. next backoff = base * current backoff.
-## **It's only used when the provider is `kafka`**.
-backoff_base = 2
-
-## The deadline of retries.
-## **It's only used when the provider is `kafka`**.
-backoff_deadline = "5mins"
-
 ## Whether to enable WAL index creation.
 ## **It's only used when the provider is `kafka`**.
 create_index = true
@@ -231,6 +212,7 @@ overwrite_entry_start_id = false
 # secret_access_key = "123456"
 # endpoint = "https://s3.amazonaws.com"
 # region = "us-west-2"
+# enable_virtual_host_style = false

 # Example of using Oss as the storage.
 # [storage]
@@ -261,10 +243,16 @@ overwrite_entry_start_id = false
 # credential = "base64-credential"
 # endpoint = "https://storage.googleapis.com"

+## The query engine options.
+[query]
+## Parallelism of the query engine.
+## Default to 0, which means the number of CPU cores.
+parallelism = 0
+
 ## The data storage options.
 [storage]
 ## The working home directory.
-data_home = "/tmp/greptimedb/"
+data_home = "./greptimedb_data/"

 ## The storage type used to store the data.
 ## - `File`: the data is stored in the local file system.
@@ -497,6 +485,11 @@ aux_path = ""
 ## The max capacity of the staging directory.
 staging_size = "2GB"

+## The TTL of the staging directory.
+## Defaults to 7 days.
+## Setting it to "0s" to disable TTL.
+staging_ttl = "7d"
+
 ## Cache size for inverted index metadata.
 metadata_cache_size = "64MiB"

@@ -612,7 +605,7 @@ experimental_sparse_primary_key_encoding = false
 ## The logging options.
 [logging]
 ## The directory to store the log files. If set to empty, logs will not be written to files.
-dir = "/tmp/greptimedb/logs"
+dir = "./greptimedb_data/logs"

 ## The log level. Can be `info`/`debug`/`warn`/`error`.
 ## @toml2docs:none-default
--- a/config/flownode.example.toml
+++ b/config/flownode.example.toml
@@ -1,6 +1,3 @@
-## The running mode of the flownode. It can be `standalone` or `distributed`.
-mode = "distributed"
-
 ## The flownode identifier and should be unique in the cluster.
 ## @toml2docs:none-default
 node_id = 14
@@ -30,7 +27,7 @@ max_send_message_size = "512MB"
 ## The address to bind the HTTP server.
 addr = "127.0.0.1:4000"
 ## HTTP request timeout. Set to 0 to disable timeout.
-timeout = "30s"
+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.
@@ -76,7 +73,7 @@ retry_interval = "3s"
 ## The logging options.
 [logging]
 ## The directory to store the log files. If set to empty, logs will not be written to files.
-dir = "/tmp/greptimedb/logs"
+dir = "./greptimedb_data/logs"

 ## The log level. Can be `info`/`debug`/`warn`/`error`.
 ## @toml2docs:none-default
@@ -121,4 +118,3 @@ sample_ratio = 1.0
 ## The tokio console address.
 ## @toml2docs:none-default
 #+ tokio_console_addr = "127.0.0.1"
-
--- a/config/frontend.example.toml
+++ b/config/frontend.example.toml
@@ -26,7 +26,7 @@ retry_interval = "3s"
 ## The address to bind the HTTP server.
 addr = "127.0.0.1:4000"
 ## HTTP request timeout. Set to 0 to disable timeout.
-timeout = "30s"
+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.
@@ -179,6 +179,12 @@ metadata_cache_ttl = "10m"
 # TTI of the metadata cache.
 metadata_cache_tti = "5m"

+## The query engine options.
+[query]
+## Parallelism of the query engine.
+## Default to 0, which means the number of CPU cores.
+parallelism = 0
+
 ## Datanode options.
 [datanode]
 ## Datanode client options.
@@ -189,7 +195,7 @@ tcp_nodelay = true
 ## The logging options.
 [logging]
 ## The directory to store the log files. If set to empty, logs will not be written to files.
-dir = "/tmp/greptimedb/logs"
+dir = "./greptimedb_data/logs"

 ## The log level. Can be `info`/`debug`/`warn`/`error`.
 ## @toml2docs:none-default
--- a/config/metasrv.example.toml
+++ b/config/metasrv.example.toml
@@ -1,5 +1,5 @@
 ## The working home directory.
-data_home = "/tmp/metasrv/"
+data_home = "./greptimedb_data/metasrv/"

 ## The bind address of metasrv.
 bind_addr = "127.0.0.1:3002"
@@ -50,6 +50,13 @@ use_memory_store = false
 ## - Using shared storage (e.g., s3).
 enable_region_failover = false

+## 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
+
+## Max allowed idle time before removing node info from metasrv memory.
+node_max_idle_time = "24hours"
+
 ## Whether to enable greptimedb telemetry. Enabled by default.
 #+ enable_telemetry = true

@@ -76,6 +83,11 @@ retry_delay = "500ms"
 ## Comments out the `max_metadata_value_size`, for don't split large value (no limit).
 max_metadata_value_size = "1500KiB"

+## Max running procedures.
+## The maximum number of procedures that can be running at the same time.
+## If the number of running procedures exceeds this limit, the procedure will be rejected.
+max_running_procedures = 128
+
 # Failure detectors options.
 [failure_detector]

@@ -122,6 +134,22 @@ broker_endpoints = ["127.0.0.1:9092"]
 ## Otherwise, use topics named `topic_name_prefix_[0..num_topics)`
 auto_create_topics = true

+## Interval of automatically WAL pruning.
+## Set to `0s` to disable automatically WAL pruning which delete unused remote WAL entries periodically.
+auto_prune_interval = "0s"
+
+## The threshold to trigger a flush operation of a region in automatically WAL pruning.
+## Metasrv will send a flush request to flush the region when:
+## `trigger_flush_threshold` + `prunable_entry_id` < `max_prunable_entry_id`
+## where:
+## - `prunable_entry_id` is the maximum entry id that can be pruned of the region.
+## - `max_prunable_entry_id` is the maximum prunable entry id among all regions in the same topic.
+## Set to `0` to disable the flush operation.
+trigger_flush_threshold = 0
+
+## Concurrent task limit for automatically WAL pruning.
+auto_prune_parallelism = 10
+
 ## Number of topics.
 num_topics = 64

@@ -141,17 +169,6 @@ replication_factor = 1

 ## Above which a topic creation operation will be cancelled.
 create_topic_timeout = "30s"
-## The initial backoff for kafka clients.
-backoff_init = "500ms"
-
-## The maximum backoff for kafka clients.
-backoff_max = "10s"
-
-## Exponential backoff rate, i.e. next backoff = base * current backoff.
-backoff_base = 2
-
-## Stop reconnecting if the total wait time reaches the deadline. If this config is missing, the reconnecting won't terminate.
-backoff_deadline = "5mins"

 # The Kafka SASL configuration.
 # **It's only used when the provider is `kafka`**.
@@ -174,7 +191,7 @@ backoff_deadline = "5mins"
 ## The logging options.
 [logging]
 ## The directory to store the log files. If set to empty, logs will not be written to files.
-dir = "/tmp/greptimedb/logs"
+dir = "./greptimedb_data/logs"

 ## The log level. Can be `info`/`debug`/`warn`/`error`.
 ## @toml2docs:none-default
--- a/config/standalone.example.toml
+++ b/config/standalone.example.toml
@@ -1,6 +1,3 @@
-## The running mode of the datanode. It can be `standalone` or `distributed`.
-mode = "standalone"
-
 ## The default timezone of the server.
 ## @toml2docs:none-default
 default_timezone = "UTC"
@@ -34,7 +31,7 @@ max_concurrent_queries = 0
 ## The address to bind the HTTP server.
 addr = "127.0.0.1:4000"
 ## HTTP request timeout. Set to 0 to disable timeout.
-timeout = "30s"
+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.
@@ -164,7 +161,7 @@ provider = "raft_engine"
 ## The directory to store the WAL files.
 ## **It's only used when the provider is `raft_engine`**.
 ## @toml2docs:none-default
-dir = "/tmp/greptimedb/wal"
+dir = "./greptimedb_data/wal"

 ## The size of the WAL segment file.
 ## **It's only used when the provider is `raft_engine`**.
@@ -242,22 +239,6 @@ max_batch_bytes = "1MB"
 ## **It's only used when the provider is `kafka`**.
 consumer_wait_timeout = "100ms"

-## The initial backoff delay.
-## **It's only used when the provider is `kafka`**.
-backoff_init = "500ms"
-
-## The maximum backoff delay.
-## **It's only used when the provider is `kafka`**.
-backoff_max = "10s"
-
-## The exponential backoff rate, i.e. next backoff = base * current backoff.
-## **It's only used when the provider is `kafka`**.
-backoff_base = 2
-
-## The deadline of retries.
-## **It's only used when the provider is `kafka`**.
-backoff_deadline = "5mins"
-
 ## Ignore missing entries during read WAL.
 ## **It's only used when the provider is `kafka`**.
 ##
@@ -302,6 +283,10 @@ purge_interval = "1m"
 max_retry_times = 3
 ## Initial retry delay of procedures, increases exponentially
 retry_delay = "500ms"
+## Max running procedures.
+## The maximum number of procedures that can be running at the same time.
+## If the number of running procedures exceeds this limit, the procedure will be rejected.
+max_running_procedures = 128

 ## flow engine options.
 [flow]
@@ -318,6 +303,7 @@ retry_delay = "500ms"
 # secret_access_key = "123456"
 # endpoint = "https://s3.amazonaws.com"
 # region = "us-west-2"
+# enable_virtual_host_style = false

 # Example of using Oss as the storage.
 # [storage]
@@ -348,10 +334,16 @@ retry_delay = "500ms"
 # credential = "base64-credential"
 # endpoint = "https://storage.googleapis.com"

+## The query engine options.
+[query]
+## Parallelism of the query engine.
+## Default to 0, which means the number of CPU cores.
+parallelism = 0
+
 ## The data storage options.
 [storage]
 ## The working home directory.
-data_home = "/tmp/greptimedb/"
+data_home = "./greptimedb_data/"

 ## The storage type used to store the data.
 ## - `File`: the data is stored in the local file system.
@@ -584,6 +576,11 @@ aux_path = ""
 ## The max capacity of the staging directory.
 staging_size = "2GB"

+## The TTL of the staging directory.
+## Defaults to 7 days.
+## Setting it to "0s" to disable TTL.
+staging_ttl = "7d"
+
 ## Cache size for inverted index metadata.
 metadata_cache_size = "64MiB"

@@ -699,7 +696,7 @@ experimental_sparse_primary_key_encoding = false
 ## The logging options.
 [logging]
 ## The directory to store the log files. If set to empty, logs will not be written to files.
-dir = "/tmp/greptimedb/logs"
+dir = "./greptimedb_data/logs"

 ## The log level. Can be `info`/`debug`/`warn`/`error`.
 ## @toml2docs:none-default
--- a/docker/buildx/ubuntu/Dockerfile
+++ b/docker/buildx/ubuntu/Dockerfile
@@ -1,4 +1,4 @@
-FROM ubuntu:20.04 as builder
+FROM ubuntu:22.04 as builder

 ARG CARGO_PROFILE
 ARG FEATURES
--- a/docker/ci/ubuntu/Dockerfile.fuzztests
+++ b/docker/ci/ubuntu/Dockerfile.fuzztests
@@ -1,4 +1,4 @@
-FROM ubuntu:22.04
+FROM ubuntu:latest

 # The binary name of GreptimeDB executable.
 # Defaults to "greptime", but sometimes in other projects it might be different.
--- a/docker/dev-builder/ubuntu/Dockerfile
+++ b/docker/dev-builder/ubuntu/Dockerfile
@@ -1,4 +1,4 @@
-FROM ubuntu:20.04
+FROM ubuntu:22.04

 # The root path under which contains all the dependencies to build this Dockerfile.
 ARG DOCKER_BUILD_ROOT=.
@@ -41,7 +41,7 @@ RUN mv protoc3/include/* /usr/local/include/
 # and the repositories are pulled from trusted sources (still us, of course). Doing so does not violate the intention
 # of the Git's addition to the "safe.directory" at the first place (see the commit message here:
 # https://github.com/git/git/commit/8959555cee7ec045958f9b6dd62e541affb7e7d9).
-# There's also another solution to this, that we add the desired submodules to the safe directory, instead of using 
+# There's also another solution to this, that we add the desired submodules to the safe directory, instead of using
 # wildcard here. However, that requires the git's config files and the submodules all owned by the very same user.
 # It's troublesome to do this since the dev build runs in Docker, which is under user "root"; while outside the Docker,
 # it can be a different user that have prepared the submodules.
--- a/docker/dev-builder/ubuntu/Dockerfile-18.10
+++ b/docker/dev-builder/ubuntu/Dockerfile-18.10
@@ -1,51 +0,0 @@
-# Use the legacy glibc 2.28.
-FROM ubuntu:18.10
-
-ENV LANG en_US.utf8
-WORKDIR /greptimedb
-
-# Use old-releases.ubuntu.com to avoid 404s: https://help.ubuntu.com/community/EOLUpgrades.
-RUN echo "deb http://old-releases.ubuntu.com/ubuntu/ cosmic main restricted universe multiverse\n\
-deb http://old-releases.ubuntu.com/ubuntu/ cosmic-updates main restricted universe multiverse\n\
-deb http://old-releases.ubuntu.com/ubuntu/ cosmic-security main restricted universe multiverse" > /etc/apt/sources.list
-
-# Install dependencies.
-RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y \
-    libssl-dev \
-    tzdata \
-    curl \
-    ca-certificates \
-    git \
-    build-essential \
-    unzip \
-    pkg-config
-
-# Install protoc.
-ENV PROTOC_VERSION=29.3
-RUN if [ "$(uname -m)" = "x86_64" ]; then \
-        PROTOC_ZIP=protoc-${PROTOC_VERSION}-linux-x86_64.zip; \
-    elif [ "$(uname -m)" = "aarch64" ]; then \
-        PROTOC_ZIP=protoc-${PROTOC_VERSION}-linux-aarch_64.zip; \
-    else \
-        echo "Unsupported architecture"; exit 1; \
-    fi && \
-    curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v${PROTOC_VERSION}/${PROTOC_ZIP} && \
-    unzip -o ${PROTOC_ZIP} -d /usr/local bin/protoc && \
-    unzip -o ${PROTOC_ZIP} -d /usr/local 'include/*' && \
-    rm -f ${PROTOC_ZIP}
-
-# Install Rust.
-SHELL ["/bin/bash", "-c"]
-RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- --no-modify-path --default-toolchain none -y
-ENV PATH /root/.cargo/bin/:$PATH
-
-# Install Rust toolchains.
-ARG RUST_TOOLCHAIN
-RUN rustup toolchain install ${RUST_TOOLCHAIN}
-
-# Install cargo-binstall with a specific version to adapt the current rust toolchain.
-# Note: if we use the latest version, we may encounter the following `use of unstable library feature 'io_error_downcast'` error.
-RUN cargo install cargo-binstall --version 1.6.6 --locked
-
-# Install nextest.
-RUN cargo binstall cargo-nextest --no-confirm
--- a/docker/dev-builder/ubuntu/Dockerfile-20.04
+++ b/docker/dev-builder/ubuntu/Dockerfile-20.04
@@ -0,0 +1,66 @@
+FROM ubuntu:20.04
+
+# The root path under which contains all the dependencies to build this Dockerfile.
+ARG DOCKER_BUILD_ROOT=.
+
+ENV LANG en_US.utf8
+WORKDIR /greptimedb
+
+RUN apt-get update && \
+    DEBIAN_FRONTEND=noninteractive apt-get install -y software-properties-common
+# Install dependencies.
+RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y \
+    libssl-dev \
+    tzdata \
+    curl \
+    unzip \
+    ca-certificates \
+    git \
+    build-essential \
+    pkg-config
+
+ARG TARGETPLATFORM
+RUN echo "target platform: $TARGETPLATFORM"
+
+ARG PROTOBUF_VERSION=29.3
+
+# Install protobuf, because the one in the apt is too old (v3.12).
+RUN if [ "$TARGETPLATFORM" = "linux/arm64" ]; then \
+    curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v${PROTOBUF_VERSION}/protoc-${PROTOBUF_VERSION}-linux-aarch_64.zip && \
+    unzip protoc-${PROTOBUF_VERSION}-linux-aarch_64.zip -d protoc3; \
+elif [ "$TARGETPLATFORM" = "linux/amd64" ]; then \
+    curl -OL https://github.com/protocolbuffers/protobuf/releases/download/v${PROTOBUF_VERSION}/protoc-${PROTOBUF_VERSION}-linux-x86_64.zip && \
+    unzip protoc-${PROTOBUF_VERSION}-linux-x86_64.zip -d protoc3; \
+fi
+RUN mv protoc3/bin/* /usr/local/bin/
+RUN mv protoc3/include/* /usr/local/include/
+
+# Silence all `safe.directory` warnings, to avoid the "detect dubious repository" error when building with submodules.
+# Disabling the safe directory check here won't pose extra security issues, because in our usage for this dev build
+# image, we use it solely on our own environment (that github action's VM, or ECS created dynamically by ourselves),
+# and the repositories are pulled from trusted sources (still us, of course). Doing so does not violate the intention
+# of the Git's addition to the "safe.directory" at the first place (see the commit message here:
+# https://github.com/git/git/commit/8959555cee7ec045958f9b6dd62e541affb7e7d9).
+# There's also another solution to this, that we add the desired submodules to the safe directory, instead of using 
+# wildcard here. However, that requires the git's config files and the submodules all owned by the very same user.
+# It's troublesome to do this since the dev build runs in Docker, which is under user "root"; while outside the Docker,
+# it can be a different user that have prepared the submodules.
+RUN git config --global --add safe.directory '*'
+
+# Install Rust.
+SHELL ["/bin/bash", "-c"]
+RUN curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh -s -- --no-modify-path --default-toolchain none -y
+ENV PATH /root/.cargo/bin/:$PATH
+
+# Install Rust toolchains.
+ARG RUST_TOOLCHAIN
+RUN rustup toolchain install ${RUST_TOOLCHAIN}
+
+# Install cargo-binstall with a specific version to adapt the current rust toolchain.
+# Note: if we use the latest version, we may encounter the following `use of unstable library feature 'io_error_downcast'` error.
+# compile from source take too long, so we use the precompiled binary instead
+COPY $DOCKER_BUILD_ROOT/docker/dev-builder/binstall/pull_binstall.sh /usr/local/bin/pull_binstall.sh
+RUN chmod +x /usr/local/bin/pull_binstall.sh && /usr/local/bin/pull_binstall.sh
+
+# Install nextest.
+RUN cargo binstall cargo-nextest --no-confirm
--- a/docker/docker-compose/cluster-with-etcd.yaml
+++ b/docker/docker-compose/cluster-with-etcd.yaml
@@ -25,7 +25,7 @@ services:
      - --initial-cluster-state=new
      - *etcd_initial_cluster_token
    volumes:
-      - /tmp/greptimedb-cluster-docker-compose/etcd0:/var/lib/etcd
+      - ./greptimedb-cluster-docker-compose/etcd0:/var/lib/etcd
    healthcheck:
      test: [ "CMD", "etcdctl", "--endpoints=http://etcd0:2379", "endpoint", "health" ]
      interval: 5s
@@ -68,12 +68,13 @@ services:
      - datanode
      - start
      - --node-id=0
+      - --data-home=/greptimedb_data
      - --rpc-bind-addr=0.0.0.0:3001
      - --rpc-server-addr=datanode0:3001
      - --metasrv-addrs=metasrv:3002
      - --http-addr=0.0.0.0:5000
    volumes:
-      - /tmp/greptimedb-cluster-docker-compose/datanode0:/tmp/greptimedb
+      - ./greptimedb-cluster-docker-compose/datanode0:/greptimedb_data
    healthcheck:
      test: [ "CMD", "curl", "-fv", "http://datanode0:5000/health" ]
      interval: 5s
--- a/docs/benchmarks/tsbs/v0.12.0.md
+++ b/docs/benchmarks/tsbs/v0.12.0.md
@@ -0,0 +1,40 @@
+# TSBS benchmark - v0.12.0
+
+## Environment
+
+### Amazon EC2
+
+|         |                         |
+|---------|-------------------------|
+| Machine | c5d.2xlarge             |
+| CPU     | 8 core                  |
+| Memory  | 16GB                    |
+| Disk    | 100GB (GP3)             |
+| OS      | Ubuntu Server 24.04 LTS |
+
+## Write performance
+
+| Environment     | Ingest rate (rows/s) |
+|-----------------|----------------------|
+| EC2 c5d.2xlarge | 326839.28            |
+
+## Query performance
+
+| Query type            | EC2 c5d.2xlarge (ms) |
+|-----------------------|----------------------|
+| cpu-max-all-1         | 12.46                |
+| cpu-max-all-8         | 24.20                |
+| double-groupby-1      | 673.08               |
+| double-groupby-5      | 963.99               |
+| double-groupby-all    | 1330.05              |
+| groupby-orderby-limit | 952.46               |
+| high-cpu-1            | 5.08                 |
+| high-cpu-all          | 4638.57              |
+| lastpoint             | 591.02               |
+| single-groupby-1-1-1  | 4.06                 |
+| single-groupby-1-1-12 | 4.73                 |
+| single-groupby-1-8-1  | 8.23                 |
+| single-groupby-5-1-1  | 4.61                 |
+| single-groupby-5-1-12 | 5.61                 |
+| single-groupby-5-8-1  | 9.74                 |
+
--- a/docs/how-to/how-to-profile-memory.md
+++ b/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.
+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).

 ## Prerequisites
 ### jemalloc
--- a/docs/how-to/how-to-write-fuzz-tests.md
+++ b/docs/how-to/how-to-write-fuzz-tests.md
@@ -3,7 +3,7 @@
 This document introduces how to write fuzz tests in GreptimeDB.

 ## What is a fuzz test
-Fuzz test is tool that leverage deterministic random generation to assist in finding bugs. The goal of fuzz tests is to identify inputs generated by the fuzzer that cause system panics, crashes, or unexpected behaviors to occur. And we are using the [cargo-fuzz](https://github.com/rust-fuzz/cargo-fuzz) to run our fuzz test targets. 
+Fuzz test is tool that leverage deterministic random generation to assist in finding bugs. The goal of fuzz tests is to identify inputs generated by the fuzzer that cause system panics, crashes, or unexpected behaviors to occur. And we are using the [cargo-fuzz](https://github.com/rust-fuzz/cargo-fuzz) to run our fuzz test targets.

 ## Why we need them
 - Find bugs by leveraging random generation
@@ -13,7 +13,7 @@ Fuzz test is tool that leverage deterministic random generation to assist in fin
 All fuzz test-related resources are located in the `/tests-fuzz` directory.
 There are two types of resources: (1) fundamental components and (2) test targets.

-### Fundamental components 
+### Fundamental components
 They are located in the `/tests-fuzz/src` directory. The fundamental components define how to generate SQLs (including dialects for different protocols) and validate execution results (e.g., column attribute validation), etc.

 ### Test targets
@@ -21,25 +21,25 @@ They are located in the `/tests-fuzz/targets` directory, with each file represen

 Figure 1 illustrates the fundamental components of the fuzz test provide the ability to generate random SQLs. It utilizes a Random Number Generator (Rng) to generate the Intermediate Representation (IR), then employs a DialectTranslator to produce specified dialects for different protocols. Finally, the fuzz tests send the generated SQL via the specified protocol and verify that the execution results meet expectations.
 ```
-                            Rng                                 
-                             |                                  
-                             |                                  
-                             v                                  
-                       ExprGenerator                            
-                             |                                  
-                             |                                  
-                             v                                  
-               Intermediate representation (IR)                 
-                             |                                  
-                             |                                  
-      +----------------------+----------------------+           
-      |                      |                      |           
-      v                      v                      v           
+                            Rng
+                             |
+                             |
+                             v
+                       ExprGenerator
+                             |
+                             |
+                             v
+               Intermediate representation (IR)
+                             |
+                             |
+      +----------------------+----------------------+
+      |                      |                      |
+      v                      v                      v
 MySQLTranslator    PostgreSQLTranslator   OtherDialectTranslator
-      |                      |                      |           
-      |                      |                      |           
-      v                      v                      v           
-SQL(MySQL Dialect)         .....                  .....         
+      |                      |                      |
+      |                      |                      |
+      v                      v                      v
+SQL(MySQL Dialect)         .....                  .....
      |
      |
      v
@@ -133,4 +133,4 @@ fuzz_target!(|input: FuzzInput| {
    cargo fuzz run <fuzz-target> --fuzz-dir tests-fuzz
 ```

-For more details, please refer to this [document](/tests-fuzz/README.md).
+For more details, please refer to this [document](/tests-fuzz/README.md).
--- a/docs/how-to/memory-profile-scripts/scripts/README.md
+++ b/docs/how-to/memory-profile-scripts/scripts/README.md
@@ -0,0 +1,52 @@
+# Memory Analysis Process
+This section will guide you through the process of analyzing memory usage for greptimedb.
+
+1. Get the `jeprof` tool script, see the next section("Getting the `jeprof` tool") for details.
+
+2. After starting `greptimedb`(with env var `MALLOC_CONF=prof:true`), execute the `dump.sh` script with the PID of the `greptimedb` process as an argument. This continuously monitors memory usage and captures profiles when exceeding thresholds (e.g. +20MB within 10 minutes). Outputs `greptime-{timestamp}.gprof` files.
+
+3. With 2-3 gprof files, run `gen_flamegraph.sh` in the same environment to generate flame graphs showing memory allocation call stacks.
+
+4.  **NOTE:** The `gen_flamegraph.sh` script requires `jeprof` and optionally `flamegraph.pl` to be in the current directory. If needed to gen flamegraph now, run the `get_flamegraph_tool.sh` script, which downloads the flame graph generation tool `flamegraph.pl` to the current directory.
+    The usage of `gen_flamegraph.sh` is:
+
+    `Usage: ./gen_flamegraph.sh <binary_path> <gprof_directory>`
+    where `<binary_path>` is the path to the greptimedb binary, `<gprof_directory>` is the directory containing the gprof files(the directory `dump.sh` is dumping profiles to).
+    Example call: `./gen_flamegraph.sh ./greptime .`
+
+    Generating the flame graph might take a few minutes. The generated flame graphs are located in the `<gprof_directory>/flamegraphs` directory. Or if no `flamegraph.pl` is found, it will only contain `.collapse` files which is also fine.
+5.  You can send the generated flame graphs(the entire folder of `<gprof_directory>/flamegraphs`) to developers for further analysis.
+
+
+## Getting the `jeprof` tool
+there are three ways to get `jeprof`, list in here from simple to complex, using any one of those methods is ok, as long as it's the same environment as the `greptimedb` will be running on:
+1. If you are compiling greptimedb from source, then `jeprof` is already produced during compilation. After running `cargo build`, execute `find_compiled_jeprof.sh`. This will copy `jeprof` to the current directory.
+2. Or, if you have the Rust toolchain installed locally, simply follow these commands:
+```bash
+cargo new get_jeprof
+cd get_jeprof
+```
+Then add this line to `Cargo.toml`:
+```toml
+[dependencies]
+tikv-jemalloc-ctl = { version = "0.6", features = ["use_std", "stats"] }
+```
+then run:
+```bash
+cargo build
+```
+after that the `jeprof` tool is produced. Now run `find_compiled_jeprof.sh` in current directory, it will copy the `jeprof` tool to the current directory.
+
+3. compile jemalloc from source
+you can first clone this repo, and checkout to this commit:
+```bash
+git clone https://github.com/tikv/jemalloc.git
+cd jemalloc
+git checkout e13ca993e8ccb9ba9847cc330696e02839f328f7
+```
+then run:
+```bash
+./configure
+make
+```
+and `jeprof` is in `.bin/` directory. Copy it to the current directory.
--- a/docs/how-to/memory-profile-scripts/scripts/dump.sh
+++ b/docs/how-to/memory-profile-scripts/scripts/dump.sh
@@ -0,0 +1,78 @@
+#!/bin/bash
+
+# Monitors greptime process memory usage every 10 minutes
+# Triggers memory profile capture via `curl -X POST localhost:4000/debug/prof/mem > greptime-{timestamp}.gprof`
+# when memory increases by more than 20MB since last check
+# Generated profiles can be analyzed using flame graphs as described in `how-to-profile-memory.md`
+# (jeprof is compiled with the database - see documentation)
+# Alternative: Share binaries + profiles for analysis (Docker images preferred)
+
+# Threshold in Kilobytes (20 MB)
+threshold_kb=$((20 * 1024))
+sleep_interval=$((10 * 60))
+
+# Variable to store the last measured memory usage in KB
+last_mem_kb=0
+
+echo "Starting memory monitoring for 'greptime' process..."
+
+while true; do
+
+    # Check if PID is provided as an argument
+    if [ -z "$1" ]; then
+        echo "$(date): PID must be provided as a command-line argument."
+        exit 1
+    fi
+
+    pid="$1"
+
+    # Validate that the PID is a number
+    if ! [[ "$pid" =~ ^[0-9]+$ ]]; then
+        echo "$(date): Invalid PID: '$pid'. PID must be a number."
+        exit 1
+    fi
+
+    # Get the current Resident Set Size (RSS) in Kilobytes
+    current_mem_kb=$(ps -o rss= -p "$pid")
+
+    # Check if ps command was successful and returned a number
+    if ! [[ "$current_mem_kb" =~ ^[0-9]+$ ]]; then
+        echo "$(date): Failed to get memory usage for PID $pid. Skipping check."
+        # Keep last_mem_kb to avoid false positives if the process briefly becomes unreadable.
+        continue
+    fi
+
+    echo "$(date): Current memory usage for PID $pid: ${current_mem_kb} KB"
+
+    # Compare with the last measurement
+    # if it's the first run, also do a baseline dump just to make sure we can dump
+    
+    diff_kb=$((current_mem_kb - last_mem_kb))
+    echo "$(date): Memory usage change since last check: ${diff_kb} KB"
+
+    if [ "$diff_kb" -gt "$threshold_kb" ]; then
+        echo "$(date): Memory increase (${diff_kb} KB) exceeded threshold (${threshold_kb} KB). Dumping profile..."
+        timestamp=$(date +%Y%m%d%H%M%S)
+        profile_file="greptime-${timestamp}.gprof"
+        # Execute curl and capture output to file
+        if curl -sf -X POST localhost:4000/debug/prof/mem > "$profile_file"; then
+            echo "$(date): Memory profile saved to $profile_file"
+        else
+            echo "$(date): Failed to dump memory profile (curl exit code: $?)."
+            # Remove the potentially empty/failed profile file
+            rm -f "$profile_file"
+        fi
+    else
+            echo "$(date): Memory increase (${diff_kb} KB) is within the threshold (${threshold_kb} KB)."
+    fi
+    
+
+    # Update the last memory usage
+    last_mem_kb=$current_mem_kb
+    
+    # Wait for 5 minutes
+    echo "$(date): Sleeping for $sleep_interval seconds..."
+    sleep $sleep_interval
+done
+
+echo "Memory monitoring script stopped." # This line might not be reached in normal operation
--- a/docs/how-to/memory-profile-scripts/scripts/find_compiled_jeprof.sh
+++ b/docs/how-to/memory-profile-scripts/scripts/find_compiled_jeprof.sh
@@ -0,0 +1,15 @@
+#!/bin/bash
+
+# Locates compiled jeprof binary (memory analysis tool) after cargo build
+# Copies it to current directory from target/ build directories
+
+JPROF_PATH=$(find . -name 'jeprof' -print -quit)
+if [ -n "$JPROF_PATH" ]; then
+  echo "Found jeprof at $JPROF_PATH"
+  cp "$JPROF_PATH" .
+  chmod +x jeprof
+  echo "Copied jeprof to current directory and made it executable."
+else
+  echo "jeprof not found"
+  exit 1
+fi
--- a/docs/how-to/memory-profile-scripts/scripts/gen_flamegraph.sh
+++ b/docs/how-to/memory-profile-scripts/scripts/gen_flamegraph.sh
@@ -0,0 +1,89 @@
+#!/bin/bash
+
+# Generate flame graphs from a series of `.gprof` files
+# First argument: Path to the binary executable
+# Second argument: Path to directory containing gprof files
+# Requires `jeprof` and `flamegraph.pl` in current directory
+# What this script essentially does is:
+# ./jeprof <binary> <gprof> --collapse | ./flamegraph.pl > <output>
+# For differential analysis between consecutive profiles:
+# ./jeprof <binary> --base <gprof1> <gprof2> --collapse | ./flamegraph.pl > <output_diff>
+
+set -e # Exit immediately if a command exits with a non-zero status.
+
+# Check for required tools
+if [ ! -f "./jeprof" ]; then
+    echo "Error: jeprof not found in the current directory."
+    exit 1
+fi
+
+if [ ! -f "./flamegraph.pl" ]; then
+    echo "Error: flamegraph.pl not found in the current directory."
+    exit 1
+fi
+
+# Check arguments
+if [ "$#" -ne 2 ]; then
+    echo "Usage: $0 <binary_path> <gprof_directory>"
+    exit 1
+fi
+
+BINARY_PATH=$1
+GPROF_DIR=$2
+OUTPUT_DIR="${GPROF_DIR}/flamegraphs" # Store outputs in a subdirectory
+
+if [ ! -f "$BINARY_PATH" ]; then
+    echo "Error: Binary file not found at $BINARY_PATH"
+    exit 1
+fi
+
+if [ ! -d "$GPROF_DIR" ]; then
+    echo "Error: gprof directory not found at $GPROF_DIR"
+    exit 1
+fi
+
+mkdir -p "$OUTPUT_DIR"
+echo "Generating flamegraphs in $OUTPUT_DIR"
+
+# Find and sort gprof files
+# Use find + sort -V for natural sort of version numbers if present in filenames
+# Use null-terminated strings for safety with find/xargs/sort
+mapfile -d $'\0' gprof_files < <(find "$GPROF_DIR" -maxdepth 1 -name '*.gprof' -print0 | sort -zV)
+
+if [ ${#gprof_files[@]} -eq 0 ]; then
+    echo "No .gprof files found in $GPROF_DIR"
+    exit 0
+fi
+
+prev_gprof=""
+
+# Generate flamegraphs
+for gprof_file in "${gprof_files[@]}"; do
+    # Skip empty entries if any
+    if [ -z "$gprof_file" ]; then
+        continue
+    fi
+
+    filename=$(basename "$gprof_file" .gprof)
+    output_collapse="${OUTPUT_DIR}/${filename}.collapse"
+    output_svg="${OUTPUT_DIR}/${filename}.svg"
+    echo "Generating collapse file for $gprof_file -> $output_collapse"
+    ./jeprof "$BINARY_PATH" "$gprof_file" --collapse > "$output_collapse"
+    echo "Generating flamegraph for $gprof_file -> $output_svg"
+    ./flamegraph.pl "$output_collapse" > "$output_svg" || true
+
+    # Generate diff flamegraph if not the first file
+    if [ -n "$prev_gprof" ]; then
+        prev_filename=$(basename "$prev_gprof" .gprof)
+        diff_output_collapse="${OUTPUT_DIR}/${prev_filename}_vs_${filename}_diff.collapse"
+        diff_output_svg="${OUTPUT_DIR}/${prev_filename}_vs_${filename}_diff.svg"
+        echo "Generating diff collapse file for $prev_gprof vs $gprof_file -> $diff_output_collapse"
+        ./jeprof "$BINARY_PATH" --base "$prev_gprof" "$gprof_file" --collapse > "$diff_output_collapse"
+        echo "Generating diff flamegraph for $prev_gprof vs $gprof_file -> $diff_output_svg"
+        ./flamegraph.pl "$diff_output_collapse" > "$diff_output_svg" || true
+    fi
+
+    prev_gprof="$gprof_file"
+done
+
+echo "Flamegraph generation complete."
--- a/docs/how-to/memory-profile-scripts/scripts/gen_from_collapse.sh
+++ b/docs/how-to/memory-profile-scripts/scripts/gen_from_collapse.sh
@@ -0,0 +1,44 @@
+#!/bin/bash
+
+# Generate flame graphs from .collapse files
+# Argument: Path to directory containing collapse files
+# Requires `flamegraph.pl` in current directory
+
+# Check if flamegraph.pl exists
+if [ ! -f "./flamegraph.pl" ]; then
+    echo "Error: flamegraph.pl not found in the current directory."
+    exit 1
+fi
+
+# Check if directory argument is provided
+if [ -z "$1" ]; then
+    echo "Usage: $0 <collapse_directory>"
+    exit 1
+fi
+
+COLLAPSE_DIR=$1
+
+# Check if the provided argument is a directory
+if [ ! -d "$COLLAPSE_DIR" ]; then
+    echo "Error: '$COLLAPSE_DIR' is not a valid directory."
+    exit 1
+fi
+
+echo "Generating flame graphs from collapse files in '$COLLAPSE_DIR'..."
+
+# Find and process each .collapse file
+find "$COLLAPSE_DIR" -maxdepth 1 -name "*.collapse" -print0 | while IFS= read -r -d $'\0' collapse_file; do
+    if [ -f "$collapse_file" ]; then
+        # Construct the output SVG filename
+        svg_file="${collapse_file%.collapse}.svg"
+        echo "Generating $svg_file from $collapse_file..."
+        ./flamegraph.pl "$collapse_file" > "$svg_file"
+        if [ $? -ne 0 ]; then
+            echo "Error generating flame graph for $collapse_file"
+        else
+            echo "Successfully generated $svg_file"
+        fi
+    fi
+done
+
+echo "Flame graph generation complete."
--- a/docs/how-to/memory-profile-scripts/scripts/get_flamegraph_tool.sh
+++ b/docs/how-to/memory-profile-scripts/scripts/get_flamegraph_tool.sh
@@ -0,0 +1,6 @@
+#!/bin/bash
+
+# Download flamegraph.pl to current directory - this is the flame graph generation tool script
+
+curl https://raw.githubusercontent.com/brendangregg/FlameGraph/master/flamegraph.pl > ./flamegraph.pl
+chmod +x ./flamegraph.pl
--- a/docs/rfcs/2025-02-06-remote-wal-purge.md
+++ b/docs/rfcs/2025-02-06-remote-wal-purge.md
@@ -0,0 +1,77 @@
+---
+Feature Name: Remote WAL Purge
+Tracking Issue: https://github.com/GreptimeTeam/greptimedb/issues/5474
+Date: 2025-02-06
+Author: "Yuhan Wang <profsyb@gmail.com>"
+---
+
+# Summary
+
+This RFC proposes a method for purging remote WAL in the database.
+
+# Motivation
+
+Currently only local wal entries are purged when flushing, while remote wal does nothing.
+
+# Details
+
+```mermaid
+sequenceDiagram
+    Region0->>Kafka: Last entry id of the topic in use
+    Region0->>WALPruner: Heartbeat with last entry id
+    WALPruner->>+WALPruner: Time Loop
+    WALPruner->>+ProcedureManager: Submit purge procedure
+    ProcedureManager->>Region0: Flush request
+    ProcedureManager->>Kafka: Prune WAL entries
+    Region0->>Region0: Flush
+```
+
+## Steps
+
+### Before purge
+
+Before purging remote WAL, metasrv needs to know:
+
+1. `last_entry_id` of each region.
+2. `kafka_topic_last_entry_id` which is the last entry id of the topic in use. Can be lazily updated and needed when region has empty memtable.
+3. Kafka topics that each region uses.
+
+The states are maintained through:
+1. Heartbeat: Datanode sends `last_entry_id` to metasrv in heartbeat. As for regions with empty memtable, `last_entry_id` should equals to `kafka_topic_last_entry_id`.
+2. Metasrv maintains a topic-region map to know which region uses which topic.
+
+`kafka_topic_last_entry_id` will be maintained by the region itself. Region will update the value after `k` heartbeats if the memtable is empty.
+
+### Purge procedure
+
+We can better handle locks utilizing current procedure. It's quite similar to the region migration procedure.
+
+After a period of time, metasrv will submit a purge procedure to ProcedureManager. The purge will apply to all topics.
+
+The procedure is divided into following stages:
+
+1. Preparation:
+   - Retrieve `last_entry_id` of each region kvbackend.
+   - Choose regions that have a relatively small `last_entry_id` as candidate regions, which means we need to send a flush request to these regions.
+2. Communication:
+   - Send flush requests to candidate regions.
+3. Purge:
+   - Choose proper entry id to delete for each topic. The entry should be the smallest `last_entry_id - 1` among all regions. 
+   - Delete legacy entries in Kafka.
+   - Store the `last_purged_entry_id` in kvbackend. It should be locked to prevent other regions from replaying the purged entries.
+
+### After purge
+
+After purge, there may be some regions that have `last_entry_id` smaller than the entry we just deleted. It's legal since we only delete the entries that are not needed anymore.
+
+When restarting a region, it should query the `last_purged_entry_id` from metasrv and replay from `min(last_entry_id, last_purged_entry_id)`.
+
+### Error handling
+
+No persisted states are needed since all states are maintained in kvbackend.
+
+Retry when failed to retrieving metadata from kvbackend.
+
+# Alternatives
+
+Purge time can depend on the size of the WAL entries instead of a fixed period of time, which may be more efficient.
--- a/grafana/README.md
+++ b/grafana/README.md
@@ -1,61 +1,89 @@
-Grafana dashboard for GreptimeDB
--------------------------------
+# Grafana dashboards for GreptimeDB

-GreptimeDB's official Grafana dashboard.
+## Overview

-Status notify: we are still working on this config. It's expected to change frequently in the recent days. Please feel free to submit your feedback and/or contribution to this dashboard 🤗
+This repository maintains the Grafana dashboards for GreptimeDB. It has two types of dashboards:

-If you use Helm [chart](https://github.com/GreptimeTeam/helm-charts) to deploy GreptimeDB cluster, you can enable self-monitoring by setting the following values in your Helm chart:
+- `cluster/dashboard.json`: The Grafana dashboard for the GreptimeDB cluster. Read the [dashboard.md](./dashboards/cluster/dashboard.md) for more details.
+- `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/standalone/dashboard.md) for more details.
+
+As the rapid development of GreptimeDB, the metrics may be changed, and please feel free to submit your feedback and/or contribution to this dashboard 🤗
+
+**NOTE**: 
+
+- The Grafana version should be greater than 9.0.
+
+- If you want to modify the dashboards, you only need to modify the `cluster/dashboard.json` and run the `make dashboards` command to generate the `standalone/dashboard.json` and other related files.
+
+To maintain the dashboards easily, we use the [`dac`](https://github.com/zyy17/dac) tool to generate the intermediate dashboards and markdown documents:
+
+- `cluster/dashboard.yaml`: The intermediate dashboard for the GreptimeDB cluster.
+- `standalone/dashboard.yaml`: The intermediate dashboard for the standalone GreptimeDB instance.
+
+## Data Sources
+
+There are two data sources for the dashboards to fetch the metrics:
+
+- **Prometheus**: Expose the metrics of GreptimeDB.
+- **Information Schema**: It is the MySQL port of the current monitored instance. The `overview` dashboard will use this datasource to show the information schema of the current instance.
+
+## Instance Filters
+
+To deploy the dashboards for multiple scenarios (K8s, bare metal, etc.), we prefer to use the `instance` label when filtering instances.
+
+Additionally, we recommend including the `pod` label in the legend to make it easier to identify each instance, even though this field will be empty in bare metal scenarios.
+
+For example, the following query is recommended:
+
+```promql
+sum(process_resident_memory_bytes{instance=~"$datanode"}) by (instance, pod)
+```
+
+And the legend will be like: `[{{instance}}]-[{{ pod }}]`.
+
+## Deployment
+
+### Helm
+
+If you use the Helm [chart](https://github.com/GreptimeTeam/helm-charts) to deploy a GreptimeDB cluster, you can enable self-monitoring by setting the following values in your Helm chart:

 - `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/nightly/user-guide/deployments/deploy-on-kubernetes/getting-started).

-# How to use
+### Self-host Prometheus and import dashboards manually

-## `greptimedb.json`
+1. **Configure Prometheus to scrape the cluster**

-Open Grafana Dashboard page, choose `New` -> `Import`. And upload `greptimedb.json` file.
+   The following is an example configuration(**Please modify it according to your actual situation**):

-## `greptimedb-cluster.json`
+    ```yml
+    # example config
+    # only to indicate how to assign labels to each target
+    # modify yours accordingly
+    scrape_configs:
+      - job_name: metasrv
+        static_configs:
+        - targets: ['<metasrv-ip>:<port>']

-This cluster dashboard provides a comprehensive view of incoming requests, response statuses, and internal activities such as flush and compaction, with a layered structure from frontend to datanode. Designed with a focus on alert functionality, its primary aim is to highlight any anomalies in metrics, allowing users to quickly pinpoint the cause of errors.
+      - job_name: datanode
+        static_configs:
+        - targets: ['<datanode0-ip>:<port>', '<datanode1-ip>:<port>', '<datanode2-ip>:<port>']

-We use Prometheus to scrape off metrics from nodes in GreptimeDB cluster, Grafana to visualize the diagram. Any compatible stack should work too.
+      - job_name: frontend
+        static_configs:
+        - targets: ['<frontend-ip>:<port>']
+    ```

-__Note__: This dashboard is still in an early stage of development. Any issue or advice on improvement is welcomed.
+2. **Configure the data sources in Grafana**

-### Configuration
+   You need to add two data sources in Grafana:

-Please ensure the following configuration before importing the dashboard into Grafana.
+   - Prometheus: It is the Prometheus instance that scrapes the GreptimeDB metrics.
+   - Information Schema: It is the MySQL port of the current monitored instance. The dashboard will use this datasource to show the information schema of the current instance.

-__1. Prometheus scrape config__
+3. **Import the dashboards based on your deployment scenario**

-Configure Prometheus to scrape the cluster.
-
-```yml
-# example config
-# only to indicate how to assign labels to each target
-# modify yours accordingly
-scrape_configs:
-  - job_name: metasrv
-    static_configs:
-    - targets: ['<metasrv-ip>:<port>']
-
-  - job_name: datanode
-    static_configs:
-    - targets: ['<datanode0-ip>:<port>', '<datanode1-ip>:<port>', '<datanode2-ip>:<port>']
-
-  - job_name: frontend
-    static_configs:
-    - targets: ['<frontend-ip>:<port>']
-```
-
-__2. Grafana config__
-
-Create a Prometheus data source in Grafana before using this dashboard. We use `datasource` as a variable in Grafana dashboard so that multiple environments are supported.
-
-### Usage
-
-Use `datasource` or `instance` on the upper-left corner to filter data from certain node.
+   - **Cluster**: Import the `cluster/dashboard.json` dashboard.
+   - **Standalone**: Import the `standalone/dashboard.json` dashboard.
--- a/grafana/dashboards/cluster/dashboard.json
+++ b/grafana/dashboards/cluster/dashboard.json
--- a/grafana/dashboards/cluster/dashboard.md
+++ b/grafana/dashboards/cluster/dashboard.md
@@ -0,0 +1,97 @@
+# Overview
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Uptime | `time() - process_start_time_seconds` | `stat` | The start time of GreptimeDB. | `prometheus` | `s` | `__auto` |
+| Version | `SELECT pkg_version FROM information_schema.build_info` | `stat` | GreptimeDB version. | `mysql` | -- | -- |
+| Total Ingestion Rate | `sum(rate(greptime_table_operator_ingest_rows[$__rate_interval]))` | `stat` | Total ingestion rate. | `prometheus` | `rowsps` | `__auto` |
+| Total Storage Size | `select SUM(disk_size) from information_schema.region_statistics;` | `stat` | Total number of data file size. | `mysql` | `decbytes` | -- |
+| Total Rows | `select SUM(region_rows) from information_schema.region_statistics;` | `stat` | Total number of data rows in the cluster. Calculated by sum of rows from each region. | `mysql` | `sishort` | -- |
+| Deployment | `SELECT count(*) as datanode FROM information_schema.cluster_info WHERE peer_type = 'DATANODE';`<br/>`SELECT count(*) as frontend FROM information_schema.cluster_info WHERE peer_type = 'FRONTEND';`<br/>`SELECT count(*) as metasrv FROM information_schema.cluster_info WHERE peer_type = 'METASRV';`<br/>`SELECT count(*) as flownode FROM information_schema.cluster_info WHERE peer_type = 'FLOWNODE';` | `stat` | The deployment topology of GreptimeDB. | `mysql` | -- | -- |
+| Database Resources | `SELECT COUNT(*) as databases FROM information_schema.schemata WHERE schema_name NOT IN ('greptime_private', 'information_schema')`<br/>`SELECT COUNT(*) as tables FROM information_schema.tables WHERE table_schema != 'information_schema'`<br/>`SELECT COUNT(region_id) as regions FROM information_schema.region_peers`<br/>`SELECT COUNT(*) as flows FROM information_schema.flows` | `stat` | The number of the key resources in GreptimeDB. | `mysql` | -- | -- |
+| Data Size | `SELECT SUM(memtable_size) * 0.42825 as WAL FROM information_schema.region_statistics;`<br/>`SELECT SUM(index_size) as index FROM information_schema.region_statistics;`<br/>`SELECT SUM(manifest_size) as manifest FROM information_schema.region_statistics;` | `stat` | The data size of wal/index/manifest in the GreptimeDB. | `mysql` | `decbytes` | -- |
+# Ingestion
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Total Ingestion Rate | `sum(rate(greptime_table_operator_ingest_rows{instance=~"$frontend"}[$__rate_interval]))` | `timeseries` | Total ingestion rate.<br/><br/>Here we listed 3 primary protocols:<br/><br/>- Prometheus remote write<br/>- Greptime's gRPC API (when using our ingest SDK)<br/>- Log ingestion http API<br/> | `prometheus` | `rowsps` | `ingestion` |
+| Ingestion Rate by Type | `sum(rate(greptime_servers_http_logs_ingestion_counter[$__rate_interval]))`<br/>`sum(rate(greptime_servers_prometheus_remote_write_samples[$__rate_interval]))` | `timeseries` | Total ingestion rate.<br/><br/>Here we listed 3 primary protocols:<br/><br/>- Prometheus remote write<br/>- Greptime's gRPC API (when using our ingest SDK)<br/>- Log ingestion http API<br/> | `prometheus` | `rowsps` | `http-logs` |
+# Queries
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Total Query Rate | `sum (rate(greptime_servers_mysql_query_elapsed_count{instance=~"$frontend"}[$__rate_interval]))`<br/>`sum (rate(greptime_servers_postgres_query_elapsed_count{instance=~"$frontend"}[$__rate_interval]))`<br/>`sum (rate(greptime_servers_http_promql_elapsed_counte{instance=~"$frontend"}[$__rate_interval]))` | `timeseries` | Total rate of query API calls by protocol. This metric is collected from frontends.<br/><br/>Here we listed 3 main protocols:<br/>- MySQL<br/>- Postgres<br/>- Prometheus API<br/><br/>Note that there are some other minor query APIs like /sql are not included | `prometheus` | `reqps` | `mysql` |
+# Resources
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Datanode Memory per Instance | `sum(process_resident_memory_bytes{instance=~"$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"}[$__rate_interval]) * 1000) by (instance, pod)` | `timeseries` | Current cpu usage by instance | `prometheus` | `none` | `[{{ instance }}]-[{{ pod }}]` |
+# Frontend Requests
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| HTTP QPS per Instance | `sum by(instance, pod, path, method, code) (rate(greptime_servers_http_requests_elapsed_count{instance=~"$frontend",path!~"/health\|/metrics"}[$__rate_interval]))` | `timeseries` | HTTP QPS per Instance. | `prometheus` | `reqps` | `[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]` |
+| HTTP P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, path, method, code) (rate(greptime_servers_http_requests_elapsed_bucket{instance=~"$frontend",path!~"/health\|/metrics"}[$__rate_interval])))` | `timeseries` | HTTP P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]-p99` |
+| gRPC QPS per Instance | `sum by(instance, pod, path, code) (rate(greptime_servers_grpc_requests_elapsed_count{instance=~"$frontend"}[$__rate_interval]))` | `timeseries` | gRPC QPS per Instance. | `prometheus` | `reqps` | `[{{instance}}]-[{{pod}}]-[{{path}}]-[{{code}}]` |
+| gRPC P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, path, code) (rate(greptime_servers_grpc_requests_elapsed_bucket{instance=~"$frontend"}[$__rate_interval])))` | `timeseries` | gRPC P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]-p99` |
+| MySQL QPS per Instance | `sum by(pod, instance)(rate(greptime_servers_mysql_query_elapsed_count{instance=~"$frontend"}[$__rate_interval]))` | `timeseries` | MySQL QPS per Instance. | `prometheus` | `reqps` | `[{{instance}}]-[{{pod}}]` |
+| MySQL P99 per Instance | `histogram_quantile(0.99, sum by(pod, instance, le) (rate(greptime_servers_mysql_query_elapsed_bucket{instance=~"$frontend"}[$__rate_interval])))` | `timeseries` | MySQL P99 per Instance. | `prometheus` | `s` | `[{{ instance }}]-[{{ pod }}]-p99` |
+| PostgreSQL QPS per Instance | `sum by(pod, instance)(rate(greptime_servers_postgres_query_elapsed_count{instance=~"$frontend"}[$__rate_interval]))` | `timeseries` | PostgreSQL QPS per Instance. | `prometheus` | `reqps` | `[{{instance}}]-[{{pod}}]` |
+| PostgreSQL P99 per Instance | `histogram_quantile(0.99, sum by(pod,instance,le) (rate(greptime_servers_postgres_query_elapsed_bucket{instance=~"$frontend"}[$__rate_interval])))` | `timeseries` | PostgreSQL P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-p99` |
+# Frontend to Datanode
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Ingest Rows per Instance | `sum by(instance, pod)(rate(greptime_table_operator_ingest_rows{instance=~"$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"}[$__rate_interval])))` | `timeseries` | Region Call P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{request_type}}]` |
+# Mito Engine
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Request OPS per Instance | `sum by(instance, pod, type) (rate(greptime_mito_handle_request_elapsed_count{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Request QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
+| Request P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, type) (rate(greptime_mito_handle_request_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))` | `timeseries` | Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
+| Write Buffer per Instance | `greptime_mito_write_buffer_bytes{instance=~"$datanode"}` | `timeseries` | Write Buffer per Instance. | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]` |
+| Write Rows per Instance | `sum by (instance, pod) (rate(greptime_mito_write_rows_total{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Ingestion size by row counts. | `prometheus` | `rowsps` | `[{{instance}}]-[{{pod}}]` |
+| Flush OPS per Instance | `sum by(instance, pod, reason) (rate(greptime_mito_flush_requests_total{instance=~"$datanode"}[$__rate_interval]))` | `timeseries` | Flush QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{reason}}]` |
+| Write Stall per Instance | `sum by(instance, pod) (greptime_mito_write_stall_total{instance=~"$datanode"})` | `timeseries` | Write Stall per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]` |
+| Read Stage OPS per Instance | `sum by(instance, pod) (rate(greptime_mito_read_stage_elapsed_count{instance=~"$datanode", stage="total"}[$__rate_interval]))` | `timeseries` | Read Stage OPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]` |
+| Read Stage P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_read_stage_elapsed_bucket{instance=~"$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"}[$__rate_interval])))` | `timeseries` | Compaction latency by stage | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{stage}}]-p99` |
+| Compaction P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le,stage) (rate(greptime_mito_compaction_total_elapsed_bucket{instance=~"$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=~"$datanode"}` | `timeseries` | Cached Bytes per Instance. | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
+| Inflight Compaction | `greptime_mito_inflight_compaction_count` | `timeseries` | Ongoing compaction task count | `prometheus` | `none` | `[{{instance}}]-[{{pod}}]` |
+| WAL sync duration seconds | `histogram_quantile(0.99, sum by(le, type, node, instance, pod) (rate(raft_engine_sync_log_duration_seconds_bucket[$__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[$__rate_interval])))` | `timeseries` | Write-ahead log operations latency at p99 | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{logstore}}]-[{{optype}}]-p99` |
+| Inflight Flush | `greptime_mito_inflight_flush_count` | `timeseries` | Ongoing flush task count | `prometheus` | `none` | `[{{instance}}]-[{{pod}}]` |
+# OpenDAL
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| QPS per Instance | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{instance=~"$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"}[$__rate_interval])))` | `timeseries` | Write P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
+| List QPS per Instance | `sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{instance=~"$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"}[$__rate_interval])))` | `timeseries` | Other Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Opendal traffic | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_bytes_sum{instance=~"$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"}[$__rate_interval]))` | `timeseries` | OpenDAL error counts per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]` |
+# Metasrv
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `state-timeline` | Counter of region migration by source and destination | `prometheus` | `none` | `from-datanode-{{datanode_id}}` |
+| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `__auto` |
+| Datanode load | `greptime_datanode_load` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `none` | `__auto` |
+# Flownode
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Flow Ingest / Output Rate | `sum by(instance, pod, direction) (rate(greptime_flow_processed_rows[$__rate_interval]))` | `timeseries` | Flow Ingest / Output Rate. | `prometheus` | -- | `[{{pod}}]-[{{instance}}]-[{{direction}}]` |
+| Flow Ingest Latency | `histogram_quantile(0.95, sum(rate(greptime_flow_insert_elapsed_bucket[$__rate_interval])) by (le, instance, pod))`<br/>`histogram_quantile(0.99, sum(rate(greptime_flow_insert_elapsed_bucket[$__rate_interval])) by (le, instance, pod))` | `timeseries` | Flow Ingest Latency. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-p95` |
+| Flow Operation Latency | `histogram_quantile(0.95, sum(rate(greptime_flow_processing_time_bucket[$__rate_interval])) by (le,instance,pod,type))`<br/>`histogram_quantile(0.99, sum(rate(greptime_flow_processing_time_bucket[$__rate_interval])) by (le,instance,pod,type))` | `timeseries` | Flow Operation Latency. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{type}}]-p95` |
+| Flow Buffer Size per Instance | `greptime_flow_input_buf_size` | `timeseries` | Flow Buffer Size per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}]` |
+| Flow Processing Error per Instance | `sum by(instance,pod,code) (rate(greptime_flow_errors[$__rate_interval]))` | `timeseries` | Flow Processing Error per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{code}}]` |
--- a/grafana/dashboards/cluster/dashboard.yaml
+++ b/grafana/dashboards/cluster/dashboard.yaml
@@ -0,0 +1,769 @@
+groups:
+    - title: Overview
+      panels:
+        - title: Uptime
+          type: stat
+          description: The start time of GreptimeDB.
+          unit: s
+          queries:
+            - expr: time() - process_start_time_seconds
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: __auto
+        - title: Version
+          type: stat
+          description: GreptimeDB version.
+          queries:
+            - expr: SELECT pkg_version FROM information_schema.build_info
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Total Ingestion Rate
+          type: stat
+          description: Total ingestion rate.
+          unit: rowsps
+          queries:
+            - expr: sum(rate(greptime_table_operator_ingest_rows[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: __auto
+        - title: Total Storage Size
+          type: stat
+          description: Total number of data file size.
+          unit: decbytes
+          queries:
+            - expr: select SUM(disk_size) from information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Total Rows
+          type: stat
+          description: Total number of data rows in the cluster. Calculated by sum of rows from each region.
+          unit: sishort
+          queries:
+            - expr: select SUM(region_rows) from information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Deployment
+          type: stat
+          description: The deployment topology of GreptimeDB.
+          queries:
+            - expr: SELECT count(*) as datanode FROM information_schema.cluster_info WHERE peer_type = 'DATANODE';
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT count(*) as frontend FROM information_schema.cluster_info WHERE peer_type = 'FRONTEND';
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT count(*) as metasrv FROM information_schema.cluster_info WHERE peer_type = 'METASRV';
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT count(*) as flownode FROM information_schema.cluster_info WHERE peer_type = 'FLOWNODE';
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Database Resources
+          type: stat
+          description: The number of the key resources in GreptimeDB.
+          queries:
+            - expr: SELECT COUNT(*) as databases FROM information_schema.schemata WHERE schema_name NOT IN ('greptime_private', 'information_schema')
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT COUNT(*) as tables FROM information_schema.tables WHERE table_schema != 'information_schema'
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT COUNT(region_id) as regions FROM information_schema.region_peers
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT COUNT(*) as flows FROM information_schema.flows
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Data Size
+          type: stat
+          description: The data size of wal/index/manifest in the GreptimeDB.
+          unit: decbytes
+          queries:
+            - expr: SELECT SUM(memtable_size) * 0.42825 as WAL FROM information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT SUM(index_size) as index FROM information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT SUM(manifest_size) as manifest FROM information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+    - title: Ingestion
+      panels:
+        - title: Total Ingestion Rate
+          type: timeseries
+          description: |
+            Total ingestion rate.
+
+            Here we listed 3 primary protocols:
+
+            - Prometheus remote write
+            - Greptime's gRPC API (when using our ingest SDK)
+            - Log ingestion http API
+          unit: rowsps
+          queries:
+            - expr: sum(rate(greptime_table_operator_ingest_rows{instance=~"$frontend"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: ingestion
+        - title: Ingestion Rate by Type
+          type: timeseries
+          description: |
+            Total ingestion rate.
+
+            Here we listed 3 primary protocols:
+
+            - Prometheus remote write
+            - Greptime's gRPC API (when using our ingest SDK)
+            - Log ingestion http API
+          unit: rowsps
+          queries:
+            - expr: sum(rate(greptime_servers_http_logs_ingestion_counter[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: http-logs
+            - expr: sum(rate(greptime_servers_prometheus_remote_write_samples[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: prometheus-remote-write
+    - title: Queries
+      panels:
+        - title: Total Query Rate
+          type: timeseries
+          description: |-
+            Total rate of query API calls by protocol. This metric is collected from frontends.
+
+            Here we listed 3 main protocols:
+            - MySQL
+            - Postgres
+            - Prometheus API
+
+            Note that there are some other minor query APIs like /sql are not included
+          unit: reqps
+          queries:
+            - expr: sum (rate(greptime_servers_mysql_query_elapsed_count{instance=~"$frontend"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: mysql
+            - expr: sum (rate(greptime_servers_postgres_query_elapsed_count{instance=~"$frontend"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: pg
+            - expr: sum (rate(greptime_servers_http_promql_elapsed_counte{instance=~"$frontend"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: promql
+    - title: Resources
+      panels:
+        - title: Datanode Memory per Instance
+          type: timeseries
+          description: Current memory usage by instance
+          unit: decbytes
+          queries:
+            - expr: sum(process_resident_memory_bytes{instance=~"$datanode"}) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{ pod }}]'
+        - title: Datanode CPU Usage per Instance
+          type: timeseries
+          description: Current cpu usage by instance
+          unit: none
+          queries:
+            - expr: sum(rate(process_cpu_seconds_total{instance=~"$datanode"}[$__rate_interval]) * 1000) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+        - title: Frontend Memory per Instance
+          type: timeseries
+          description: Current memory usage by instance
+          unit: decbytes
+          queries:
+            - expr: sum(process_resident_memory_bytes{instance=~"$frontend"}) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+        - title: Frontend CPU Usage per Instance
+          type: timeseries
+          description: Current cpu usage by instance
+          unit: none
+          queries:
+            - expr: sum(rate(process_cpu_seconds_total{instance=~"$frontend"}[$__rate_interval]) * 1000) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]-cpu'
+        - title: Metasrv Memory per Instance
+          type: timeseries
+          description: Current memory usage by instance
+          unit: decbytes
+          queries:
+            - expr: sum(process_resident_memory_bytes{instance=~"$metasrv"}) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]-resident'
+        - title: Metasrv CPU Usage per Instance
+          type: timeseries
+          description: Current cpu usage by instance
+          unit: none
+          queries:
+            - expr: sum(rate(process_cpu_seconds_total{instance=~"$metasrv"}[$__rate_interval]) * 1000) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+        - title: Flownode Memory per Instance
+          type: timeseries
+          description: Current memory usage by instance
+          unit: decbytes
+          queries:
+            - expr: sum(process_resident_memory_bytes{instance=~"$flownode"}) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+        - title: Flownode CPU Usage per Instance
+          type: timeseries
+          description: Current cpu usage by instance
+          unit: none
+          queries:
+            - expr: sum(rate(process_cpu_seconds_total{instance=~"$flownode"}[$__rate_interval]) * 1000) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+    - title: Frontend Requests
+      panels:
+        - title: HTTP QPS per Instance
+          type: timeseries
+          description: HTTP QPS per Instance.
+          unit: reqps
+          queries:
+            - expr: sum by(instance, pod, path, method, code) (rate(greptime_servers_http_requests_elapsed_count{instance=~"$frontend",path!~"/health|/metrics"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]'
+        - title: HTTP P99 per Instance
+          type: timeseries
+          description: HTTP P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, path, method, code) (rate(greptime_servers_http_requests_elapsed_bucket{instance=~"$frontend",path!~"/health|/metrics"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]-p99'
+        - title: gRPC QPS per Instance
+          type: timeseries
+          description: gRPC QPS per Instance.
+          unit: reqps
+          queries:
+            - expr: sum by(instance, pod, path, code) (rate(greptime_servers_grpc_requests_elapsed_count{instance=~"$frontend"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{path}}]-[{{code}}]'
+        - title: gRPC P99 per Instance
+          type: timeseries
+          description: gRPC P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, path, code) (rate(greptime_servers_grpc_requests_elapsed_bucket{instance=~"$frontend"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]-p99'
+        - title: MySQL QPS per Instance
+          type: timeseries
+          description: MySQL QPS per Instance.
+          unit: reqps
+          queries:
+            - expr: sum by(pod, instance)(rate(greptime_servers_mysql_query_elapsed_count{instance=~"$frontend"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: MySQL P99 per Instance
+          type: timeseries
+          description: MySQL P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(pod, instance, le) (rate(greptime_servers_mysql_query_elapsed_bucket{instance=~"$frontend"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]-p99'
+        - title: PostgreSQL QPS per Instance
+          type: timeseries
+          description: PostgreSQL QPS per Instance.
+          unit: reqps
+          queries:
+            - expr: sum by(pod, instance)(rate(greptime_servers_postgres_query_elapsed_count{instance=~"$frontend"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: PostgreSQL P99 per Instance
+          type: timeseries
+          description: PostgreSQL P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(pod,instance,le) (rate(greptime_servers_postgres_query_elapsed_bucket{instance=~"$frontend"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-p99'
+    - title: Frontend to Datanode
+      panels:
+        - title: Ingest Rows per Instance
+          type: timeseries
+          description: Ingestion rate by row as in each frontend
+          unit: rowsps
+          queries:
+            - expr: sum by(instance, pod)(rate(greptime_table_operator_ingest_rows{instance=~"$frontend"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Region Call QPS per Instance
+          type: timeseries
+          description: Region Call QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, request_type) (rate(greptime_grpc_region_request_count{instance=~"$frontend"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{request_type}}]'
+        - title: Region Call P99 per Instance
+          type: timeseries
+          description: Region Call P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, request_type) (rate(greptime_grpc_region_request_bucket{instance=~"$frontend"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{request_type}}]'
+    - title: Mito Engine
+      panels:
+        - title: Request OPS per Instance
+          type: timeseries
+          description: Request QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, type) (rate(greptime_mito_handle_request_elapsed_count{instance=~"$datanode"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]'
+        - title: Request P99 per Instance
+          type: timeseries
+          description: Request P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, type) (rate(greptime_mito_handle_request_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]'
+        - title: Write Buffer per Instance
+          type: timeseries
+          description: Write Buffer per Instance.
+          unit: decbytes
+          queries:
+            - expr: greptime_mito_write_buffer_bytes{instance=~"$datanode"}
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Write Rows per Instance
+          type: timeseries
+          description: Ingestion size by row counts.
+          unit: rowsps
+          queries:
+            - expr: sum by (instance, pod) (rate(greptime_mito_write_rows_total{instance=~"$datanode"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Flush OPS per Instance
+          type: timeseries
+          description: Flush QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, reason) (rate(greptime_mito_flush_requests_total{instance=~"$datanode"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{reason}}]'
+        - title: Write Stall per Instance
+          type: timeseries
+          description: Write Stall per Instance.
+          queries:
+            - expr: sum by(instance, pod) (greptime_mito_write_stall_total{instance=~"$datanode"})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Read Stage OPS per Instance
+          type: timeseries
+          description: Read Stage OPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod) (rate(greptime_mito_read_stage_elapsed_count{instance=~"$datanode", stage="total"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Read Stage P99 per Instance
+          type: timeseries
+          description: Read Stage P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_read_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]'
+        - title: Write Stage P99 per Instance
+          type: timeseries
+          description: Write Stage P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_write_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]'
+        - title: Compaction OPS per Instance
+          type: timeseries
+          description: Compaction OPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod) (rate(greptime_mito_compaction_total_elapsed_count{instance=~"$datanode"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{pod}}]'
+        - title: Compaction P99 per Instance by Stage
+          type: timeseries
+          description: Compaction latency by stage
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-p99'
+        - title: Compaction P99 per Instance
+          type: timeseries
+          description: Compaction P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le,stage) (rate(greptime_mito_compaction_total_elapsed_bucket{instance=~"$datanode"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-compaction'
+        - title: WAL write size
+          type: timeseries
+          description: Write-ahead logs write size as bytes. This chart includes stats of p95 and p99 size by instance, total WAL write rate.
+          unit: bytes
+          queries:
+            - expr: histogram_quantile(0.95, sum by(le,instance, pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-req-size-p95'
+            - expr: histogram_quantile(0.99, sum by(le,instance,pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-req-size-p99'
+            - expr: sum by (instance, pod)(rate(raft_engine_write_size_sum[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-throughput'
+        - title: Cached Bytes per Instance
+          type: timeseries
+          description: Cached Bytes per Instance.
+          unit: decbytes
+          queries:
+            - expr: greptime_mito_cache_bytes{instance=~"$datanode"}
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]'
+        - title: Inflight Compaction
+          type: timeseries
+          description: Ongoing compaction task count
+          unit: none
+          queries:
+            - expr: greptime_mito_inflight_compaction_count
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: WAL sync duration seconds
+          type: timeseries
+          description: Raft engine (local disk) log store sync latency, p99
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(le, type, node, instance, pod) (rate(raft_engine_sync_log_duration_seconds_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-p99'
+        - title: Log Store op duration seconds
+          type: timeseries
+          description: Write-ahead log operations latency at p99
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(le,logstore,optype,instance, pod) (rate(greptime_logstore_op_elapsed_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{logstore}}]-[{{optype}}]-p99'
+        - title: Inflight Flush
+          type: timeseries
+          description: Ongoing flush task count
+          unit: none
+          queries:
+            - expr: greptime_mito_inflight_flush_count
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+    - title: OpenDAL
+      panels:
+        - title: QPS per Instance
+          type: timeseries
+          description: QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
+        - title: Read QPS per Instance
+          type: timeseries
+          description: Read QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation="read"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+        - title: Read P99 per Instance
+          type: timeseries
+          description: Read P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode",operation="read"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-{{scheme}}'
+        - title: Write QPS per Instance
+          type: timeseries
+          description: Write QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation="write"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-{{scheme}}'
+        - title: Write P99 per Instance
+          type: timeseries
+          description: Write P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation="write"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+        - title: List QPS per Instance
+          type: timeseries
+          description: List QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode", operation="list"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+        - title: List P99 per Instance
+          type: timeseries
+          description: List P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation="list"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+        - title: Other Requests per Instance
+          type: timeseries
+          description: Other Requests per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{instance=~"$datanode",operation!~"read|write|list|stat"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
+        - title: Other Request P99 per Instance
+          type: timeseries
+          description: Other Request P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{instance=~"$datanode", operation!~"read|write|list"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
+        - title: Opendal traffic
+          type: timeseries
+          description: Total traffic as in bytes by instance and operation
+          unit: decbytes
+          queries:
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_bytes_sum{instance=~"$datanode"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
+        - title: OpenDAL errors per Instance
+          type: timeseries
+          description: OpenDAL error counts per Instance.
+          queries:
+            - expr: sum by(instance, pod, scheme, operation, error) (rate(opendal_operation_errors_total{instance=~"$datanode", error!="NotFound"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]'
+    - title: Metasrv
+      panels:
+        - title: Region migration datanode
+          type: state-timeline
+          description: Counter of region migration by source and destination
+          unit: none
+          queries:
+            - expr: greptime_meta_region_migration_stat{datanode_type="src"}
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: from-datanode-{{datanode_id}}
+            - expr: greptime_meta_region_migration_stat{datanode_type="desc"}
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: to-datanode-{{datanode_id}}
+        - title: Region migration error
+          type: timeseries
+          description: Counter of region migration error
+          unit: none
+          queries:
+            - expr: greptime_meta_region_migration_error
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: __auto
+        - 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
+          queries:
+            - expr: greptime_datanode_load
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: __auto
+    - title: Flownode
+      panels:
+        - title: Flow Ingest / Output Rate
+          type: timeseries
+          description: Flow Ingest / Output Rate.
+          queries:
+            - expr: sum by(instance, pod, direction) (rate(greptime_flow_processed_rows[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{pod}}]-[{{instance}}]-[{{direction}}]'
+        - title: Flow Ingest Latency
+          type: timeseries
+          description: Flow Ingest Latency.
+          queries:
+            - expr: histogram_quantile(0.95, sum(rate(greptime_flow_insert_elapsed_bucket[$__rate_interval])) by (le, instance, pod))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-p95'
+            - expr: histogram_quantile(0.99, sum(rate(greptime_flow_insert_elapsed_bucket[$__rate_interval])) by (le, instance, pod))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-p99'
+        - title: Flow Operation Latency
+          type: timeseries
+          description: Flow Operation Latency.
+          queries:
+            - expr: histogram_quantile(0.95, sum(rate(greptime_flow_processing_time_bucket[$__rate_interval])) by (le,instance,pod,type))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]-p95'
+            - expr: histogram_quantile(0.99, sum(rate(greptime_flow_processing_time_bucket[$__rate_interval])) by (le,instance,pod,type))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]-p99'
+        - title: Flow Buffer Size per Instance
+          type: timeseries
+          description: Flow Buffer Size per Instance.
+          queries:
+            - expr: greptime_flow_input_buf_size
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}]'
+        - title: Flow Processing Error per Instance
+          type: timeseries
+          description: Flow Processing Error per Instance.
+          queries:
+            - expr: sum by(instance,pod,code) (rate(greptime_flow_errors[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{code}}]'
--- a/grafana/dashboards/standalone/dashboard.json
+++ b/grafana/dashboards/standalone/dashboard.json
--- a/grafana/dashboards/standalone/dashboard.md
+++ b/grafana/dashboards/standalone/dashboard.md
@@ -0,0 +1,97 @@
+# Overview
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Uptime | `time() - process_start_time_seconds` | `stat` | The start time of GreptimeDB. | `prometheus` | `s` | `__auto` |
+| Version | `SELECT pkg_version FROM information_schema.build_info` | `stat` | GreptimeDB version. | `mysql` | -- | -- |
+| Total Ingestion Rate | `sum(rate(greptime_table_operator_ingest_rows[$__rate_interval]))` | `stat` | Total ingestion rate. | `prometheus` | `rowsps` | `__auto` |
+| Total Storage Size | `select SUM(disk_size) from information_schema.region_statistics;` | `stat` | Total number of data file size. | `mysql` | `decbytes` | -- |
+| Total Rows | `select SUM(region_rows) from information_schema.region_statistics;` | `stat` | Total number of data rows in the cluster. Calculated by sum of rows from each region. | `mysql` | `sishort` | -- |
+| Deployment | `SELECT count(*) as datanode FROM information_schema.cluster_info WHERE peer_type = 'DATANODE';`<br/>`SELECT count(*) as frontend FROM information_schema.cluster_info WHERE peer_type = 'FRONTEND';`<br/>`SELECT count(*) as metasrv FROM information_schema.cluster_info WHERE peer_type = 'METASRV';`<br/>`SELECT count(*) as flownode FROM information_schema.cluster_info WHERE peer_type = 'FLOWNODE';` | `stat` | The deployment topology of GreptimeDB. | `mysql` | -- | -- |
+| Database Resources | `SELECT COUNT(*) as databases FROM information_schema.schemata WHERE schema_name NOT IN ('greptime_private', 'information_schema')`<br/>`SELECT COUNT(*) as tables FROM information_schema.tables WHERE table_schema != 'information_schema'`<br/>`SELECT COUNT(region_id) as regions FROM information_schema.region_peers`<br/>`SELECT COUNT(*) as flows FROM information_schema.flows` | `stat` | The number of the key resources in GreptimeDB. | `mysql` | -- | -- |
+| Data Size | `SELECT SUM(memtable_size) * 0.42825 as WAL FROM information_schema.region_statistics;`<br/>`SELECT SUM(index_size) as index FROM information_schema.region_statistics;`<br/>`SELECT SUM(manifest_size) as manifest FROM information_schema.region_statistics;` | `stat` | The data size of wal/index/manifest in the GreptimeDB. | `mysql` | `decbytes` | -- |
+# Ingestion
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Total Ingestion Rate | `sum(rate(greptime_table_operator_ingest_rows{}[$__rate_interval]))` | `timeseries` | Total ingestion rate.<br/><br/>Here we listed 3 primary protocols:<br/><br/>- Prometheus remote write<br/>- Greptime's gRPC API (when using our ingest SDK)<br/>- Log ingestion http API<br/> | `prometheus` | `rowsps` | `ingestion` |
+| Ingestion Rate by Type | `sum(rate(greptime_servers_http_logs_ingestion_counter[$__rate_interval]))`<br/>`sum(rate(greptime_servers_prometheus_remote_write_samples[$__rate_interval]))` | `timeseries` | Total ingestion rate.<br/><br/>Here we listed 3 primary protocols:<br/><br/>- Prometheus remote write<br/>- Greptime's gRPC API (when using our ingest SDK)<br/>- Log ingestion http API<br/> | `prometheus` | `rowsps` | `http-logs` |
+# Queries
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Total Query Rate | `sum (rate(greptime_servers_mysql_query_elapsed_count{}[$__rate_interval]))`<br/>`sum (rate(greptime_servers_postgres_query_elapsed_count{}[$__rate_interval]))`<br/>`sum (rate(greptime_servers_http_promql_elapsed_counte{}[$__rate_interval]))` | `timeseries` | Total rate of query API calls by protocol. This metric is collected from frontends.<br/><br/>Here we listed 3 main protocols:<br/>- MySQL<br/>- Postgres<br/>- Prometheus API<br/><br/>Note that there are some other minor query APIs like /sql are not included | `prometheus` | `reqps` | `mysql` |
+# 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 }}]` |
+# Frontend Requests
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| HTTP QPS per Instance | `sum by(instance, pod, path, method, code) (rate(greptime_servers_http_requests_elapsed_count{path!~"/health\|/metrics"}[$__rate_interval]))` | `timeseries` | HTTP QPS per Instance. | `prometheus` | `reqps` | `[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]` |
+| HTTP P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, path, method, code) (rate(greptime_servers_http_requests_elapsed_bucket{path!~"/health\|/metrics"}[$__rate_interval])))` | `timeseries` | HTTP P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]-p99` |
+| gRPC QPS per Instance | `sum by(instance, pod, path, code) (rate(greptime_servers_grpc_requests_elapsed_count{}[$__rate_interval]))` | `timeseries` | gRPC QPS per Instance. | `prometheus` | `reqps` | `[{{instance}}]-[{{pod}}]-[{{path}}]-[{{code}}]` |
+| gRPC P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, path, code) (rate(greptime_servers_grpc_requests_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | gRPC P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]-p99` |
+| MySQL QPS per Instance | `sum by(pod, instance)(rate(greptime_servers_mysql_query_elapsed_count{}[$__rate_interval]))` | `timeseries` | MySQL QPS per Instance. | `prometheus` | `reqps` | `[{{instance}}]-[{{pod}}]` |
+| MySQL P99 per Instance | `histogram_quantile(0.99, sum by(pod, instance, le) (rate(greptime_servers_mysql_query_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | MySQL P99 per Instance. | `prometheus` | `s` | `[{{ instance }}]-[{{ pod }}]-p99` |
+| PostgreSQL QPS per Instance | `sum by(pod, instance)(rate(greptime_servers_postgres_query_elapsed_count{}[$__rate_interval]))` | `timeseries` | PostgreSQL QPS per Instance. | `prometheus` | `reqps` | `[{{instance}}]-[{{pod}}]` |
+| PostgreSQL P99 per Instance | `histogram_quantile(0.99, sum by(pod,instance,le) (rate(greptime_servers_postgres_query_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | PostgreSQL P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-p99` |
+# Frontend to Datanode
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| 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{}[$__rate_interval])))` | `timeseries` | Region Call P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{request_type}}]` |
+# Mito Engine
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Request OPS per Instance | `sum by(instance, pod, type) (rate(greptime_mito_handle_request_elapsed_count{}[$__rate_interval]))` | `timeseries` | Request QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
+| Request P99 per Instance | `histogram_quantile(0.99, sum by(instance, pod, le, type) (rate(greptime_mito_handle_request_elapsed_bucket{}[$__rate_interval])))` | `timeseries` | Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{type}}]` |
+| Write Buffer per Instance | `greptime_mito_write_buffer_bytes{}` | `timeseries` | Write Buffer per Instance. | `prometheus` | `decbytes` | `[{{instance}}]-[{{pod}}]` |
+| Write Rows per Instance | `sum by (instance, pod) (rate(greptime_mito_write_rows_total{}[$__rate_interval]))` | `timeseries` | Ingestion size by row counts. | `prometheus` | `rowsps` | `[{{instance}}]-[{{pod}}]` |
+| Flush OPS per Instance | `sum by(instance, pod, reason) (rate(greptime_mito_flush_requests_total{}[$__rate_interval]))` | `timeseries` | Flush QPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]-[{{reason}}]` |
+| Write Stall per Instance | `sum by(instance, pod) (greptime_mito_write_stall_total{})` | `timeseries` | Write Stall per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]` |
+| Read Stage OPS per Instance | `sum by(instance, pod) (rate(greptime_mito_read_stage_elapsed_count{ stage="total"}[$__rate_interval]))` | `timeseries` | Read Stage OPS per Instance. | `prometheus` | `ops` | `[{{instance}}]-[{{pod}}]` |
+| 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 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}}]` |
+| Inflight Compaction | `greptime_mito_inflight_compaction_count` | `timeseries` | Ongoing compaction task count | `prometheus` | `none` | `[{{instance}}]-[{{pod}}]` |
+| 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}}]` |
+# 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"}[$__rate_interval])))` | `timeseries` | Write P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]` |
+| List QPS per Instance | `sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{ operation="list"}[$__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"}[$__rate_interval])))` | `timeseries` | Other Request P99 per Instance. | `prometheus` | `s` | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]` |
+| Opendal traffic | `sum by(instance, pod, scheme, operation) (rate(opendal_operation_bytes_sum{}[$__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"}[$__rate_interval]))` | `timeseries` | OpenDAL error counts per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]` |
+# Metasrv
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Region migration datanode | `greptime_meta_region_migration_stat{datanode_type="src"}`<br/>`greptime_meta_region_migration_stat{datanode_type="desc"}` | `state-timeline` | Counter of region migration by source and destination | `prometheus` | `none` | `from-datanode-{{datanode_id}}` |
+| Region migration error | `greptime_meta_region_migration_error` | `timeseries` | Counter of region migration error | `prometheus` | `none` | `__auto` |
+| Datanode load | `greptime_datanode_load` | `timeseries` | Gauge of load information of each datanode, collected via heartbeat between datanode and metasrv. This information is for metasrv to schedule workloads. | `prometheus` | `none` | `__auto` |
+# Flownode
+| Title | Query | Type | Description | Datasource | Unit | Legend Format |
+| --- | --- | --- | --- | --- | --- | --- |
+| Flow Ingest / Output Rate | `sum by(instance, pod, direction) (rate(greptime_flow_processed_rows[$__rate_interval]))` | `timeseries` | Flow Ingest / Output Rate. | `prometheus` | -- | `[{{pod}}]-[{{instance}}]-[{{direction}}]` |
+| Flow Ingest Latency | `histogram_quantile(0.95, sum(rate(greptime_flow_insert_elapsed_bucket[$__rate_interval])) by (le, instance, pod))`<br/>`histogram_quantile(0.99, sum(rate(greptime_flow_insert_elapsed_bucket[$__rate_interval])) by (le, instance, pod))` | `timeseries` | Flow Ingest Latency. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-p95` |
+| Flow Operation Latency | `histogram_quantile(0.95, sum(rate(greptime_flow_processing_time_bucket[$__rate_interval])) by (le,instance,pod,type))`<br/>`histogram_quantile(0.99, sum(rate(greptime_flow_processing_time_bucket[$__rate_interval])) by (le,instance,pod,type))` | `timeseries` | Flow Operation Latency. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{type}}]-p95` |
+| Flow Buffer Size per Instance | `greptime_flow_input_buf_size` | `timeseries` | Flow Buffer Size per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}]` |
+| Flow Processing Error per Instance | `sum by(instance,pod,code) (rate(greptime_flow_errors[$__rate_interval]))` | `timeseries` | Flow Processing Error per Instance. | `prometheus` | -- | `[{{instance}}]-[{{pod}}]-[{{code}}]` |
--- a/grafana/dashboards/standalone/dashboard.yaml
+++ b/grafana/dashboards/standalone/dashboard.yaml
@@ -0,0 +1,769 @@
+groups:
+    - title: Overview
+      panels:
+        - title: Uptime
+          type: stat
+          description: The start time of GreptimeDB.
+          unit: s
+          queries:
+            - expr: time() - process_start_time_seconds
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: __auto
+        - title: Version
+          type: stat
+          description: GreptimeDB version.
+          queries:
+            - expr: SELECT pkg_version FROM information_schema.build_info
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Total Ingestion Rate
+          type: stat
+          description: Total ingestion rate.
+          unit: rowsps
+          queries:
+            - expr: sum(rate(greptime_table_operator_ingest_rows[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: __auto
+        - title: Total Storage Size
+          type: stat
+          description: Total number of data file size.
+          unit: decbytes
+          queries:
+            - expr: select SUM(disk_size) from information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Total Rows
+          type: stat
+          description: Total number of data rows in the cluster. Calculated by sum of rows from each region.
+          unit: sishort
+          queries:
+            - expr: select SUM(region_rows) from information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Deployment
+          type: stat
+          description: The deployment topology of GreptimeDB.
+          queries:
+            - expr: SELECT count(*) as datanode FROM information_schema.cluster_info WHERE peer_type = 'DATANODE';
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT count(*) as frontend FROM information_schema.cluster_info WHERE peer_type = 'FRONTEND';
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT count(*) as metasrv FROM information_schema.cluster_info WHERE peer_type = 'METASRV';
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT count(*) as flownode FROM information_schema.cluster_info WHERE peer_type = 'FLOWNODE';
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Database Resources
+          type: stat
+          description: The number of the key resources in GreptimeDB.
+          queries:
+            - expr: SELECT COUNT(*) as databases FROM information_schema.schemata WHERE schema_name NOT IN ('greptime_private', 'information_schema')
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT COUNT(*) as tables FROM information_schema.tables WHERE table_schema != 'information_schema'
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT COUNT(region_id) as regions FROM information_schema.region_peers
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT COUNT(*) as flows FROM information_schema.flows
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+        - title: Data Size
+          type: stat
+          description: The data size of wal/index/manifest in the GreptimeDB.
+          unit: decbytes
+          queries:
+            - expr: SELECT SUM(memtable_size) * 0.42825 as WAL FROM information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT SUM(index_size) as index FROM information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+            - expr: SELECT SUM(manifest_size) as manifest FROM information_schema.region_statistics;
+              datasource:
+                type: mysql
+                uid: ${information_schema}
+    - title: Ingestion
+      panels:
+        - title: Total Ingestion Rate
+          type: timeseries
+          description: |
+            Total ingestion rate.
+
+            Here we listed 3 primary protocols:
+
+            - Prometheus remote write
+            - Greptime's gRPC API (when using our ingest SDK)
+            - Log ingestion http API
+          unit: rowsps
+          queries:
+            - expr: sum(rate(greptime_table_operator_ingest_rows{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: ingestion
+        - title: Ingestion Rate by Type
+          type: timeseries
+          description: |
+            Total ingestion rate.
+
+            Here we listed 3 primary protocols:
+
+            - Prometheus remote write
+            - Greptime's gRPC API (when using our ingest SDK)
+            - Log ingestion http API
+          unit: rowsps
+          queries:
+            - expr: sum(rate(greptime_servers_http_logs_ingestion_counter[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: http-logs
+            - expr: sum(rate(greptime_servers_prometheus_remote_write_samples[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: prometheus-remote-write
+    - title: Queries
+      panels:
+        - title: Total Query Rate
+          type: timeseries
+          description: |-
+            Total rate of query API calls by protocol. This metric is collected from frontends.
+
+            Here we listed 3 main protocols:
+            - MySQL
+            - Postgres
+            - Prometheus API
+
+            Note that there are some other minor query APIs like /sql are not included
+          unit: reqps
+          queries:
+            - expr: sum (rate(greptime_servers_mysql_query_elapsed_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: mysql
+            - expr: sum (rate(greptime_servers_postgres_query_elapsed_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: pg
+            - expr: sum (rate(greptime_servers_http_promql_elapsed_counte{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: promql
+    - title: Resources
+      panels:
+        - title: Datanode Memory per Instance
+          type: timeseries
+          description: Current memory usage by instance
+          unit: decbytes
+          queries:
+            - expr: sum(process_resident_memory_bytes{}) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{ pod }}]'
+        - title: Datanode CPU Usage per Instance
+          type: timeseries
+          description: Current cpu usage by instance
+          unit: none
+          queries:
+            - expr: sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+        - title: Frontend Memory per Instance
+          type: timeseries
+          description: Current memory usage by instance
+          unit: decbytes
+          queries:
+            - expr: sum(process_resident_memory_bytes{}) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+        - title: Frontend CPU Usage per Instance
+          type: timeseries
+          description: Current cpu usage by instance
+          unit: none
+          queries:
+            - expr: sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]-cpu'
+        - title: Metasrv Memory per Instance
+          type: timeseries
+          description: Current memory usage by instance
+          unit: decbytes
+          queries:
+            - expr: sum(process_resident_memory_bytes{}) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]-resident'
+        - title: Metasrv CPU Usage per Instance
+          type: timeseries
+          description: Current cpu usage by instance
+          unit: none
+          queries:
+            - expr: sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+        - title: Flownode Memory per Instance
+          type: timeseries
+          description: Current memory usage by instance
+          unit: decbytes
+          queries:
+            - expr: sum(process_resident_memory_bytes{}) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+        - title: Flownode CPU Usage per Instance
+          type: timeseries
+          description: Current cpu usage by instance
+          unit: none
+          queries:
+            - expr: sum(rate(process_cpu_seconds_total{}[$__rate_interval]) * 1000) by (instance, pod)
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]'
+    - title: Frontend Requests
+      panels:
+        - title: HTTP QPS per Instance
+          type: timeseries
+          description: HTTP QPS per Instance.
+          unit: reqps
+          queries:
+            - expr: sum by(instance, pod, path, method, code) (rate(greptime_servers_http_requests_elapsed_count{path!~"/health|/metrics"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]'
+        - title: HTTP P99 per Instance
+          type: timeseries
+          description: HTTP P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, path, method, code) (rate(greptime_servers_http_requests_elapsed_bucket{path!~"/health|/metrics"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]-p99'
+        - title: gRPC QPS per Instance
+          type: timeseries
+          description: gRPC QPS per Instance.
+          unit: reqps
+          queries:
+            - expr: sum by(instance, pod, path, code) (rate(greptime_servers_grpc_requests_elapsed_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{path}}]-[{{code}}]'
+        - title: gRPC P99 per Instance
+          type: timeseries
+          description: gRPC P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, path, code) (rate(greptime_servers_grpc_requests_elapsed_bucket{}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{path}}]-[{{method}}]-[{{code}}]-p99'
+        - title: MySQL QPS per Instance
+          type: timeseries
+          description: MySQL QPS per Instance.
+          unit: reqps
+          queries:
+            - expr: sum by(pod, instance)(rate(greptime_servers_mysql_query_elapsed_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: MySQL P99 per Instance
+          type: timeseries
+          description: MySQL P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(pod, instance, le) (rate(greptime_servers_mysql_query_elapsed_bucket{}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{ pod }}]-p99'
+        - title: PostgreSQL QPS per Instance
+          type: timeseries
+          description: PostgreSQL QPS per Instance.
+          unit: reqps
+          queries:
+            - expr: sum by(pod, instance)(rate(greptime_servers_postgres_query_elapsed_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: PostgreSQL P99 per Instance
+          type: timeseries
+          description: PostgreSQL P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(pod,instance,le) (rate(greptime_servers_postgres_query_elapsed_bucket{}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-p99'
+    - title: Frontend to Datanode
+      panels:
+        - title: Ingest Rows per Instance
+          type: timeseries
+          description: Ingestion rate by row as in each frontend
+          unit: rowsps
+          queries:
+            - expr: sum by(instance, pod)(rate(greptime_table_operator_ingest_rows{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Region Call QPS per Instance
+          type: timeseries
+          description: Region Call QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, request_type) (rate(greptime_grpc_region_request_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{request_type}}]'
+        - title: Region Call P99 per Instance
+          type: timeseries
+          description: Region Call P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, request_type) (rate(greptime_grpc_region_request_bucket{}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{request_type}}]'
+    - title: Mito Engine
+      panels:
+        - title: Request OPS per Instance
+          type: timeseries
+          description: Request QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, type) (rate(greptime_mito_handle_request_elapsed_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]'
+        - title: Request P99 per Instance
+          type: timeseries
+          description: Request P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, type) (rate(greptime_mito_handle_request_elapsed_bucket{}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]'
+        - title: Write Buffer per Instance
+          type: timeseries
+          description: Write Buffer per Instance.
+          unit: decbytes
+          queries:
+            - expr: greptime_mito_write_buffer_bytes{}
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Write Rows per Instance
+          type: timeseries
+          description: Ingestion size by row counts.
+          unit: rowsps
+          queries:
+            - expr: sum by (instance, pod) (rate(greptime_mito_write_rows_total{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Flush OPS per Instance
+          type: timeseries
+          description: Flush QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, reason) (rate(greptime_mito_flush_requests_total{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{reason}}]'
+        - title: Write Stall per Instance
+          type: timeseries
+          description: Write Stall per Instance.
+          queries:
+            - expr: sum by(instance, pod) (greptime_mito_write_stall_total{})
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Read Stage OPS per Instance
+          type: timeseries
+          description: Read Stage OPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod) (rate(greptime_mito_read_stage_elapsed_count{ stage="total"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: Read Stage P99 per Instance
+          type: timeseries
+          description: Read Stage P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_read_stage_elapsed_bucket{}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]'
+        - title: Write Stage P99 per Instance
+          type: timeseries
+          description: Write Stage P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_write_stage_elapsed_bucket{}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]'
+        - title: Compaction OPS per Instance
+          type: timeseries
+          description: Compaction OPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod) (rate(greptime_mito_compaction_total_elapsed_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{ instance }}]-[{{pod}}]'
+        - title: Compaction P99 per Instance by Stage
+          type: timeseries
+          description: Compaction latency by stage
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, stage) (rate(greptime_mito_compaction_stage_elapsed_bucket{}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-p99'
+        - title: Compaction P99 per Instance
+          type: timeseries
+          description: Compaction P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le,stage) (rate(greptime_mito_compaction_total_elapsed_bucket{}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{stage}}]-compaction'
+        - title: WAL write size
+          type: timeseries
+          description: Write-ahead logs write size as bytes. This chart includes stats of p95 and p99 size by instance, total WAL write rate.
+          unit: bytes
+          queries:
+            - expr: histogram_quantile(0.95, sum by(le,instance, pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-req-size-p95'
+            - expr: histogram_quantile(0.99, sum by(le,instance,pod) (rate(raft_engine_write_size_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-req-size-p99'
+            - expr: sum by (instance, pod)(rate(raft_engine_write_size_sum[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-throughput'
+        - title: Cached Bytes per Instance
+          type: timeseries
+          description: Cached Bytes per Instance.
+          unit: decbytes
+          queries:
+            - expr: greptime_mito_cache_bytes{}
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]'
+        - title: Inflight Compaction
+          type: timeseries
+          description: Ongoing compaction task count
+          unit: none
+          queries:
+            - expr: greptime_mito_inflight_compaction_count
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+        - title: WAL sync duration seconds
+          type: timeseries
+          description: Raft engine (local disk) log store sync latency, p99
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(le, type, node, instance, pod) (rate(raft_engine_sync_log_duration_seconds_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-p99'
+        - title: Log Store op duration seconds
+          type: timeseries
+          description: Write-ahead log operations latency at p99
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(le,logstore,optype,instance, pod) (rate(greptime_logstore_op_elapsed_bucket[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{logstore}}]-[{{optype}}]-p99'
+        - title: Inflight Flush
+          type: timeseries
+          description: Ongoing flush task count
+          unit: none
+          queries:
+            - expr: greptime_mito_inflight_flush_count
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]'
+    - title: OpenDAL
+      panels:
+        - title: QPS per Instance
+          type: timeseries
+          description: QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
+        - title: Read QPS per Instance
+          type: timeseries
+          description: Read QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{ operation="read"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+        - title: Read P99 per Instance
+          type: timeseries
+          description: Read P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{operation="read"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-{{scheme}}'
+        - title: Write QPS per Instance
+          type: timeseries
+          description: Write QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{ operation="write"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-{{scheme}}'
+        - title: Write P99 per Instance
+          type: timeseries
+          description: Write P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{ operation="write"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+        - title: List QPS per Instance
+          type: timeseries
+          description: List QPS per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme) (rate(opendal_operation_duration_seconds_count{ operation="list"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+        - title: List P99 per Instance
+          type: timeseries
+          description: List P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme) (rate(opendal_operation_duration_seconds_bucket{ operation="list"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]'
+        - title: Other Requests per Instance
+          type: timeseries
+          description: Other Requests per Instance.
+          unit: ops
+          queries:
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_duration_seconds_count{operation!~"read|write|list|stat"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
+        - title: Other Request P99 per Instance
+          type: timeseries
+          description: Other Request P99 per Instance.
+          unit: s
+          queries:
+            - expr: histogram_quantile(0.99, sum by(instance, pod, le, scheme, operation) (rate(opendal_operation_duration_seconds_bucket{ operation!~"read|write|list"}[$__rate_interval])))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
+        - title: Opendal traffic
+          type: timeseries
+          description: Total traffic as in bytes by instance and operation
+          unit: decbytes
+          queries:
+            - expr: sum by(instance, pod, scheme, operation) (rate(opendal_operation_bytes_sum{}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]'
+        - title: OpenDAL errors per Instance
+          type: timeseries
+          description: OpenDAL error counts per Instance.
+          queries:
+            - expr: sum by(instance, pod, scheme, operation, error) (rate(opendal_operation_errors_total{ error!="NotFound"}[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{scheme}}]-[{{operation}}]-[{{error}}]'
+    - title: Metasrv
+      panels:
+        - title: Region migration datanode
+          type: state-timeline
+          description: Counter of region migration by source and destination
+          unit: none
+          queries:
+            - expr: greptime_meta_region_migration_stat{datanode_type="src"}
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: from-datanode-{{datanode_id}}
+            - expr: greptime_meta_region_migration_stat{datanode_type="desc"}
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: to-datanode-{{datanode_id}}
+        - title: Region migration error
+          type: timeseries
+          description: Counter of region migration error
+          unit: none
+          queries:
+            - expr: greptime_meta_region_migration_error
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: __auto
+        - 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
+          queries:
+            - expr: greptime_datanode_load
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: __auto
+    - title: Flownode
+      panels:
+        - title: Flow Ingest / Output Rate
+          type: timeseries
+          description: Flow Ingest / Output Rate.
+          queries:
+            - expr: sum by(instance, pod, direction) (rate(greptime_flow_processed_rows[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{pod}}]-[{{instance}}]-[{{direction}}]'
+        - title: Flow Ingest Latency
+          type: timeseries
+          description: Flow Ingest Latency.
+          queries:
+            - expr: histogram_quantile(0.95, sum(rate(greptime_flow_insert_elapsed_bucket[$__rate_interval])) by (le, instance, pod))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-p95'
+            - expr: histogram_quantile(0.99, sum(rate(greptime_flow_insert_elapsed_bucket[$__rate_interval])) by (le, instance, pod))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-p99'
+        - title: Flow Operation Latency
+          type: timeseries
+          description: Flow Operation Latency.
+          queries:
+            - expr: histogram_quantile(0.95, sum(rate(greptime_flow_processing_time_bucket[$__rate_interval])) by (le,instance,pod,type))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]-p95'
+            - expr: histogram_quantile(0.99, sum(rate(greptime_flow_processing_time_bucket[$__rate_interval])) by (le,instance,pod,type))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{type}}]-p99'
+        - title: Flow Buffer Size per Instance
+          type: timeseries
+          description: Flow Buffer Size per Instance.
+          queries:
+            - expr: greptime_flow_input_buf_size
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}]'
+        - title: Flow Processing Error per Instance
+          type: timeseries
+          description: Flow Processing Error per Instance.
+          queries:
+            - expr: sum by(instance,pod,code) (rate(greptime_flow_errors[$__rate_interval]))
+              datasource:
+                type: prometheus
+                uid: ${metrics}
+              legendFormat: '[{{instance}}]-[{{pod}}]-[{{code}}]'
--- a/grafana/greptimedb.json
+++ b/grafana/greptimedb.json
--- a/grafana/scripts/check.sh
+++ b/grafana/scripts/check.sh
@@ -0,0 +1,54 @@
+#!/usr/bin/env bash
+
+DASHBOARD_DIR=${1:-grafana/dashboards}
+
+check_dashboard_description() {
+  for dashboard in $(find $DASHBOARD_DIR -name "*.json"); do
+    echo "Checking $dashboard description"
+
+    # Use jq to check for panels with empty or missing descriptions
+    invalid_panels=$(cat $dashboard | jq -r '
+      .panels[]
+    | select((.type == "stats" or .type == "timeseries") and (.description == "" or .description == null))')
+
+    # Check if any invalid panels were found
+    if [[ -n "$invalid_panels" ]]; then
+      echo "Error: The following panels have empty or missing descriptions:"
+      echo "$invalid_panels"
+      exit 1
+    else
+      echo "All panels with type 'stats' or 'timeseries' have valid descriptions."
+    fi
+  done
+}
+
+check_dashboards_generation() {
+  ./grafana/scripts/gen-dashboards.sh
+
+  if [[ -n "$(git diff --name-only grafana/dashboards)" ]]; then
+    echo "Error: The dashboards are not generated correctly. You should execute the `make dashboards` command."
+    exit 1
+  fi
+}
+
+check_datasource() {
+  for dashboard in $(find $DASHBOARD_DIR -name "*.json"); do
+    echo "Checking $dashboard datasource"
+    jq -r '.panels[] | select(.type != "row") | .targets[] | [.datasource.type, .datasource.uid] | @tsv' $dashboard | while read -r type uid; do
+    # if the datasource is prometheus, check if the uid is ${metrics}
+    if [[ "$type" == "prometheus" && "$uid" != "\${metrics}" ]]; then
+      echo "Error: The datasource uid of $dashboard is not valid. It should be \${metrics}, got $uid"
+      exit 1
+    fi
+    # if the datasource is mysql, check if the uid is ${information_schema}
+    if [[ "$type" == "mysql" && "$uid" != "\${information_schema}" ]]; then
+      echo "Error: The datasource uid of $dashboard is not valid. It should be \${information_schema}, got $uid"
+      exit 1
+    fi
+    done
+  done
+}
+
+check_dashboards_generation
+check_dashboard_description
+check_datasource
--- a/grafana/scripts/gen-dashboards.sh
+++ b/grafana/scripts/gen-dashboards.sh
@@ -0,0 +1,25 @@
+#! /usr/bin/env bash
+
+CLUSTER_DASHBOARD_DIR=${1:-grafana/dashboards/cluster}
+STANDALONE_DASHBOARD_DIR=${2:-grafana/dashboards/standalone}
+DAC_IMAGE=ghcr.io/zyy17/dac:20250423-522bd35
+
+remove_instance_filters() {
+  # Remove the instance filters for the standalone dashboards.
+  sed 's/instance=~\\"$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
+}
+
+generate_intermediate_dashboards_and_docs() {
+  docker run -v ${PWD}:/greptimedb --rm ${DAC_IMAGE} \
+    -i /greptimedb/$CLUSTER_DASHBOARD_DIR/dashboard.json \
+    -o /greptimedb/$CLUSTER_DASHBOARD_DIR/dashboard.yaml \
+    -m /greptimedb/$CLUSTER_DASHBOARD_DIR/dashboard.md
+
+  docker run -v ${PWD}:/greptimedb --rm ${DAC_IMAGE} \
+    -i /greptimedb/$STANDALONE_DASHBOARD_DIR/dashboard.json \
+    -o /greptimedb/$STANDALONE_DASHBOARD_DIR/dashboard.yaml \
+    -m /greptimedb/$STANDALONE_DASHBOARD_DIR/dashboard.md
+}
+
+remove_instance_filters
+generate_intermediate_dashboards_and_docs
--- a/scripts/check-super-imports.py
+++ b/scripts/check-super-imports.py
@@ -0,0 +1,74 @@
+# 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 os
+import re
+from multiprocessing import Pool
+
+
+def find_rust_files(directory):
+    rust_files = []
+    for root, _, files in os.walk(directory):
+        # Skip files with "test" in the path
+        if "test" in root.lower():
+            continue
+
+        for file in files:
+            # Skip files with "test" in the filename
+            if "test" in file.lower():
+                continue
+
+            if file.endswith(".rs"):
+                rust_files.append(os.path.join(root, file))
+    return rust_files
+
+
+def check_file_for_super_import(file_path):
+    with open(file_path, "r") as file:
+        lines = file.readlines()
+
+    violations = []
+    for line_number, line in enumerate(lines, 1):
+        # Check for "use super::" without leading tab
+        if line.startswith("use super::"):
+            violations.append((line_number, line.strip()))
+
+    if violations:
+        return file_path, violations
+    return None
+
+
+def main():
+    rust_files = find_rust_files(".")
+
+    with Pool() as pool:
+        results = pool.map(check_file_for_super_import, rust_files)
+
+    # Filter out None results
+    violations = [result for result in results if result]
+
+    if violations:
+        print("Found 'use super::' without leading tab in the following files:")
+        counter = 1
+        for file_path, file_violations in violations:
+            for line_number, line in file_violations:
+                print(f"{counter:>5} {file_path}:{line_number} - {line}")
+                counter += 1
+        raise SystemExit(1)
+    else:
+        print("No 'use super::' without leading tab found. All files are compliant.")
+
+
+if __name__ == "__main__":
+    main()
--- a/src/api/Cargo.toml
+++ b/src/api/Cargo.toml
@@ -15,13 +15,10 @@ common-macro.workspace = true
 common-time.workspace = true
 datatypes.workspace = true
 greptime-proto.workspace = true
-paste = "1.0"
+paste.workspace = true
 prost.workspace = true
 serde_json.workspace = true
 snafu.workspace = true

 [build-dependencies]
 tonic-build = "0.11"
-
-[dev-dependencies]
-paste = "1.0"
--- a/src/api/src/helper.rs
+++ b/src/api/src/helper.rs
@@ -19,9 +19,7 @@ use common_decimal::decimal128::{DECIMAL128_DEFAULT_SCALE, DECIMAL128_MAX_PRECIS
 use common_decimal::Decimal128;
 use common_time::time::Time;
 use common_time::timestamp::TimeUnit;
-use common_time::{
-    Date, DateTime, IntervalDayTime, IntervalMonthDayNano, IntervalYearMonth, Timestamp,
-};
+use common_time::{Date, IntervalDayTime, IntervalMonthDayNano, IntervalYearMonth, Timestamp};
 use datatypes::prelude::{ConcreteDataType, ValueRef};
 use datatypes::scalars::ScalarVector;
 use datatypes::types::{
@@ -29,8 +27,8 @@ use datatypes::types::{
 };
 use datatypes::value::{OrderedF32, OrderedF64, Value};
 use datatypes::vectors::{
-    BinaryVector, BooleanVector, DateTimeVector, DateVector, Decimal128Vector, Float32Vector,
-    Float64Vector, Int32Vector, Int64Vector, IntervalDayTimeVector, IntervalMonthDayNanoVector,
+    BinaryVector, BooleanVector, DateVector, Decimal128Vector, Float32Vector, Float64Vector,
+    Int32Vector, Int64Vector, IntervalDayTimeVector, IntervalMonthDayNanoVector,
    IntervalYearMonthVector, PrimitiveVector, StringVector, TimeMicrosecondVector,
    TimeMillisecondVector, TimeNanosecondVector, TimeSecondVector, TimestampMicrosecondVector,
    TimestampMillisecondVector, TimestampNanosecondVector, TimestampSecondVector, UInt32Vector,
@@ -118,7 +116,7 @@ impl From<ColumnDataTypeWrapper> for ConcreteDataType {
            ColumnDataType::Json => ConcreteDataType::json_datatype(),
            ColumnDataType::String => ConcreteDataType::string_datatype(),
            ColumnDataType::Date => ConcreteDataType::date_datatype(),
-            ColumnDataType::Datetime => ConcreteDataType::datetime_datatype(),
+            ColumnDataType::Datetime => ConcreteDataType::timestamp_microsecond_datatype(),
            ColumnDataType::TimestampSecond => ConcreteDataType::timestamp_second_datatype(),
            ColumnDataType::TimestampMillisecond => {
                ConcreteDataType::timestamp_millisecond_datatype()
@@ -271,7 +269,6 @@ impl TryFrom<ConcreteDataType> for ColumnDataTypeWrapper {
            ConcreteDataType::Binary(_) => ColumnDataType::Binary,
            ConcreteDataType::String(_) => ColumnDataType::String,
            ConcreteDataType::Date(_) => ColumnDataType::Date,
-            ConcreteDataType::DateTime(_) => ColumnDataType::Datetime,
            ConcreteDataType::Timestamp(t) => match t {
                TimestampType::Second(_) => ColumnDataType::TimestampSecond,
                TimestampType::Millisecond(_) => ColumnDataType::TimestampMillisecond,
@@ -476,7 +473,6 @@ pub fn push_vals(column: &mut Column, origin_count: usize, vector: VectorRef) {
        Value::String(val) => values.string_values.push(val.as_utf8().to_string()),
        Value::Binary(val) => values.binary_values.push(val.to_vec()),
        Value::Date(val) => values.date_values.push(val.val()),
-        Value::DateTime(val) => values.datetime_values.push(val.val()),
        Value::Timestamp(val) => match val.unit() {
            TimeUnit::Second => values.timestamp_second_values.push(val.value()),
            TimeUnit::Millisecond => values.timestamp_millisecond_values.push(val.value()),
@@ -518,6 +514,7 @@ fn query_request_type(request: &QueryRequest) -> &'static str {
        Some(Query::Sql(_)) => "query.sql",
        Some(Query::LogicalPlan(_)) => "query.logical_plan",
        Some(Query::PromRangeQuery(_)) => "query.prom_range",
+        Some(Query::InsertIntoPlan(_)) => "query.insert_into_plan",
        None => "query.empty",
    }
 }
@@ -577,12 +574,11 @@ pub fn pb_value_to_value_ref<'a>(
        ValueData::BinaryValue(bytes) => ValueRef::Binary(bytes.as_slice()),
        ValueData::StringValue(string) => ValueRef::String(string.as_str()),
        ValueData::DateValue(d) => ValueRef::Date(Date::from(*d)),
-        ValueData::DatetimeValue(d) => ValueRef::DateTime(DateTime::new(*d)),
        ValueData::TimestampSecondValue(t) => ValueRef::Timestamp(Timestamp::new_second(*t)),
        ValueData::TimestampMillisecondValue(t) => {
            ValueRef::Timestamp(Timestamp::new_millisecond(*t))
        }
-        ValueData::TimestampMicrosecondValue(t) => {
+        ValueData::DatetimeValue(t) | ValueData::TimestampMicrosecondValue(t) => {
            ValueRef::Timestamp(Timestamp::new_microsecond(*t))
        }
        ValueData::TimestampNanosecondValue(t) => {
@@ -651,7 +647,6 @@ pub fn pb_values_to_vector_ref(data_type: &ConcreteDataType, values: Values) ->
        ConcreteDataType::Binary(_) => Arc::new(BinaryVector::from(values.binary_values)),
        ConcreteDataType::String(_) => Arc::new(StringVector::from_vec(values.string_values)),
        ConcreteDataType::Date(_) => Arc::new(DateVector::from_vec(values.date_values)),
-        ConcreteDataType::DateTime(_) => Arc::new(DateTimeVector::from_vec(values.datetime_values)),
        ConcreteDataType::Timestamp(unit) => match unit {
            TimestampType::Second(_) => Arc::new(TimestampSecondVector::from_vec(
                values.timestamp_second_values,
@@ -787,11 +782,6 @@ pub fn pb_values_to_values(data_type: &ConcreteDataType, values: Values) -> Vec<
            .into_iter()
            .map(|val| val.into())
            .collect(),
-        ConcreteDataType::DateTime(_) => values
-            .datetime_values
-            .into_iter()
-            .map(|v| Value::DateTime(v.into()))
-            .collect(),
        ConcreteDataType::Date(_) => values
            .date_values
            .into_iter()
@@ -947,9 +937,6 @@ pub fn to_proto_value(value: Value) -> Option<v1::Value> {
        Value::Date(v) => v1::Value {
            value_data: Some(ValueData::DateValue(v.val())),
        },
-        Value::DateTime(v) => v1::Value {
-            value_data: Some(ValueData::DatetimeValue(v.val())),
-        },
        Value::Timestamp(v) => match v.unit() {
            TimeUnit::Second => v1::Value {
                value_data: Some(ValueData::TimestampSecondValue(v.value())),
@@ -1066,7 +1053,6 @@ pub fn value_to_grpc_value(value: Value) -> GrpcValue {
            Value::String(v) => Some(ValueData::StringValue(v.as_utf8().to_string())),
            Value::Binary(v) => Some(ValueData::BinaryValue(v.to_vec())),
            Value::Date(v) => Some(ValueData::DateValue(v.val())),
-            Value::DateTime(v) => Some(ValueData::DatetimeValue(v.val())),
            Value::Timestamp(v) => Some(match v.unit() {
                TimeUnit::Second => ValueData::TimestampSecondValue(v.value()),
                TimeUnit::Millisecond => ValueData::TimestampMillisecondValue(v.value()),
@@ -1248,7 +1234,7 @@ mod tests {
            ColumnDataTypeWrapper::date_datatype().into()
        );
        assert_eq!(
-            ConcreteDataType::datetime_datatype(),
+            ConcreteDataType::timestamp_microsecond_datatype(),
            ColumnDataTypeWrapper::datetime_datatype().into()
        );
        assert_eq!(
@@ -1339,10 +1325,6 @@ mod tests {
            ColumnDataTypeWrapper::date_datatype(),
            ConcreteDataType::date_datatype().try_into().unwrap()
        );
-        assert_eq!(
-            ColumnDataTypeWrapper::datetime_datatype(),
-            ConcreteDataType::datetime_datatype().try_into().unwrap()
-        );
        assert_eq!(
            ColumnDataTypeWrapper::timestamp_millisecond_datatype(),
            ConcreteDataType::timestamp_millisecond_datatype()
@@ -1830,17 +1812,6 @@ mod tests {
        ]
    );

-    test_convert_values!(
-        datetime,
-        vec![1.into(), 2.into(), 3.into()],
-        datetime,
-        vec![
-            Value::DateTime(1.into()),
-            Value::DateTime(2.into()),
-            Value::DateTime(3.into())
-        ]
-    );
-
    #[test]
    fn test_vectors_to_rows_for_different_types() {
        let boolean_vec = BooleanVector::from_vec(vec![true, false, true]);
--- a/src/api/src/v1/column_def.rs
+++ b/src/api/src/v1/column_def.rs
@@ -15,10 +15,13 @@
 use std::collections::HashMap;

 use datatypes::schema::{
-    ColumnDefaultConstraint, ColumnSchema, FulltextAnalyzer, FulltextOptions, SkippingIndexType,
-    COMMENT_KEY, FULLTEXT_KEY, INVERTED_INDEX_KEY, SKIPPING_INDEX_KEY,
+    ColumnDefaultConstraint, ColumnSchema, FulltextAnalyzer, FulltextBackend, FulltextOptions,
+    SkippingIndexOptions, SkippingIndexType, COMMENT_KEY, FULLTEXT_KEY, INVERTED_INDEX_KEY,
+    SKIPPING_INDEX_KEY,
+};
+use greptime_proto::v1::{
+    Analyzer, FulltextBackend as PbFulltextBackend, SkippingIndexType as PbSkippingIndexType,
 };
-use greptime_proto::v1::{Analyzer, SkippingIndexType as PbSkippingIndexType};
 use snafu::ResultExt;

 use crate::error::{self, Result};
@@ -103,6 +106,13 @@ pub fn contains_fulltext(options: &Option<ColumnOptions>) -> bool {
        .is_some_and(|o| o.options.contains_key(FULLTEXT_GRPC_KEY))
 }

+/// Checks if the `ColumnOptions` contains skipping index options.
+pub fn contains_skipping(options: &Option<ColumnOptions>) -> bool {
+    options
+        .as_ref()
+        .is_some_and(|o| o.options.contains_key(SKIPPING_INDEX_GRPC_KEY))
+}
+
 /// Tries to construct a `ColumnOptions` from the given `FulltextOptions`.
 pub fn options_from_fulltext(fulltext: &FulltextOptions) -> Result<Option<ColumnOptions>> {
    let mut options = ColumnOptions::default();
@@ -113,14 +123,43 @@ pub fn options_from_fulltext(fulltext: &FulltextOptions) -> Result<Option<Column
    Ok((!options.options.is_empty()).then_some(options))
 }

+/// Tries to construct a `ColumnOptions` from the given `SkippingIndexOptions`.
+pub fn options_from_skipping(skipping: &SkippingIndexOptions) -> Result<Option<ColumnOptions>> {
+    let mut options = ColumnOptions::default();
+
+    let v = serde_json::to_string(skipping).context(error::SerializeJsonSnafu)?;
+    options
+        .options
+        .insert(SKIPPING_INDEX_GRPC_KEY.to_string(), v);
+
+    Ok((!options.options.is_empty()).then_some(options))
+}
+
+/// Tries to construct a `ColumnOptions` for inverted index.
+pub fn options_from_inverted() -> ColumnOptions {
+    let mut options = ColumnOptions::default();
+    options
+        .options
+        .insert(INVERTED_INDEX_GRPC_KEY.to_string(), "true".to_string());
+    options
+}
+
 /// Tries to construct a `FulltextAnalyzer` from the given analyzer.
-pub fn as_fulltext_option(analyzer: Analyzer) -> FulltextAnalyzer {
+pub fn as_fulltext_option_analyzer(analyzer: Analyzer) -> FulltextAnalyzer {
    match analyzer {
        Analyzer::English => FulltextAnalyzer::English,
        Analyzer::Chinese => FulltextAnalyzer::Chinese,
    }
 }

+/// Tries to construct a `FulltextBackend` from the given backend.
+pub fn as_fulltext_option_backend(backend: PbFulltextBackend) -> FulltextBackend {
+    match backend {
+        PbFulltextBackend::Bloom => FulltextBackend::Bloom,
+        PbFulltextBackend::Tantivy => FulltextBackend::Tantivy,
+    }
+}
+
 /// Tries to construct a `SkippingIndexType` from the given skipping index type.
 pub fn as_skipping_index_type(skipping_index_type: PbSkippingIndexType) -> SkippingIndexType {
    match skipping_index_type {
@@ -132,7 +171,7 @@ pub fn as_skipping_index_type(skipping_index_type: PbSkippingIndexType) -> Skipp
 mod tests {

    use datatypes::data_type::ConcreteDataType;
-    use datatypes::schema::FulltextAnalyzer;
+    use datatypes::schema::{FulltextAnalyzer, FulltextBackend};

    use super::*;
    use crate::v1::ColumnDataType;
@@ -191,13 +230,14 @@ mod tests {
                enable: true,
                analyzer: FulltextAnalyzer::English,
                case_sensitive: false,
+                backend: FulltextBackend::Bloom,
            })
            .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}"
+            "{\"enable\":true,\"analyzer\":\"English\",\"case-sensitive\":false,\"backend\":\"bloom\"}"
        );
        assert_eq!(
            options.options.get(INVERTED_INDEX_GRPC_KEY).unwrap(),
@@ -211,11 +251,12 @@ mod tests {
            enable: true,
            analyzer: FulltextAnalyzer::English,
            case_sensitive: false,
+            backend: FulltextBackend::Bloom,
        };
        let options = options_from_fulltext(&fulltext).unwrap().unwrap();
        assert_eq!(
            options.options.get(FULLTEXT_GRPC_KEY).unwrap(),
-            "{\"enable\":true,\"analyzer\":\"English\",\"case-sensitive\":false}"
+            "{\"enable\":true,\"analyzer\":\"English\",\"case-sensitive\":false,\"backend\":\"bloom\"}"
        );
    }

--- a/src/catalog/Cargo.toml
+++ b/src/catalog/Cargo.toml
@@ -15,7 +15,7 @@ api.workspace = true
 arrow.workspace = true
 arrow-schema.workspace = true
 async-stream.workspace = true
-async-trait = "0.1"
+async-trait.workspace = true
 bytes.workspace = true
 common-catalog.workspace = true
 common-error.workspace = true
@@ -31,7 +31,7 @@ common-version.workspace = true
 dashmap.workspace = true
 datafusion.workspace = true
 datatypes.workspace = true
-futures = "0.3"
+futures.workspace = true
 futures-util.workspace = true
 humantime.workspace = true
 itertools.workspace = true
@@ -39,7 +39,7 @@ lazy_static.workspace = true
 meta-client.workspace = true
 moka = { workspace = true, features = ["future", "sync"] }
 partition.workspace = true
-paste = "1.0"
+paste.workspace = true
 prometheus.workspace = true
 rustc-hash.workspace = true
 serde_json.workspace = true
@@ -49,7 +49,7 @@ sql.workspace = true
 store-api.workspace = true
 table.workspace = true
 tokio.workspace = true
-tokio-stream = "0.1"
+tokio-stream.workspace = true

 [dev-dependencies]
 cache.workspace = true
--- a/src/catalog/src/kvbackend/manager.rs
+++ b/src/catalog/src/kvbackend/manager.rs
@@ -38,6 +38,7 @@ use partition::manager::{PartitionRuleManager, PartitionRuleManagerRef};
 use session::context::{Channel, QueryContext};
 use snafu::prelude::*;
 use table::dist_table::DistTable;
+use table::metadata::TableId;
 use table::table::numbers::{NumbersTable, NUMBERS_TABLE_NAME};
 use table::table_name::TableName;
 use table::TableRef;
@@ -286,6 +287,28 @@ impl CatalogManager for KvBackendCatalogManager {
        return Ok(None);
    }

+    async fn tables_by_ids(
+        &self,
+        catalog: &str,
+        schema: &str,
+        table_ids: &[TableId],
+    ) -> Result<Vec<TableRef>> {
+        let table_info_values = self
+            .table_metadata_manager
+            .table_info_manager()
+            .batch_get(table_ids)
+            .await
+            .context(TableMetadataManagerSnafu)?;
+
+        let tables = table_info_values
+            .into_values()
+            .filter(|t| t.table_info.catalog_name == catalog && t.table_info.schema_name == schema)
+            .map(build_table)
+            .collect::<Result<Vec<_>>>()?;
+
+        Ok(tables)
+    }
+
    fn tables<'a>(
        &'a self,
        catalog: &'a str,
--- a/src/catalog/src/lib.rs
+++ b/src/catalog/src/lib.rs
@@ -87,6 +87,14 @@ pub trait CatalogManager: Send + Sync {
        query_ctx: Option<&QueryContext>,
    ) -> Result<Option<TableRef>>;

+    /// Returns the tables by table ids.
+    async fn tables_by_ids(
+        &self,
+        catalog: &str,
+        schema: &str,
+        table_ids: &[TableId],
+    ) -> Result<Vec<TableRef>>;
+
    /// Returns all tables with a stream by catalog and schema.
    fn tables<'a>(
        &'a self,
--- a/src/catalog/src/memory/manager.rs
+++ b/src/catalog/src/memory/manager.rs
@@ -14,7 +14,7 @@

 use std::any::Any;
 use std::collections::hash_map::Entry;
-use std::collections::HashMap;
+use std::collections::{HashMap, HashSet};
 use std::sync::{Arc, RwLock, Weak};

 use async_stream::{stream, try_stream};
@@ -28,6 +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::TableRef;

 use crate::error::{CatalogNotFoundSnafu, Result, SchemaNotFoundSnafu, TableExistsSnafu};
@@ -143,6 +144,33 @@ impl CatalogManager for MemoryCatalogManager {
        Ok(result)
    }

+    async fn tables_by_ids(
+        &self,
+        catalog: &str,
+        schema: &str,
+        table_ids: &[TableId],
+    ) -> Result<Vec<TableRef>> {
+        let catalogs = self.catalogs.read().unwrap();
+
+        let schemas = catalogs.get(catalog).context(CatalogNotFoundSnafu {
+            catalog_name: catalog,
+        })?;
+
+        let tables = schemas
+            .get(schema)
+            .context(SchemaNotFoundSnafu { catalog, schema })?;
+
+        let filter_ids: HashSet<_> = table_ids.iter().collect();
+        // It is very inefficient, but we do not need to optimize it since it will not be called in `MemoryCatalogManager`.
+        let tables = tables
+            .values()
+            .filter(|t| filter_ids.contains(&t.table_info().table_id()))
+            .cloned()
+            .collect::<Vec<_>>();
+
+        Ok(tables)
+    }
+
    fn tables<'a>(
        &'a self,
        catalog: &'a str,
--- a/src/catalog/src/system_schema.rs
+++ b/src/catalog/src/system_schema.rs
@@ -77,7 +77,7 @@ trait SystemSchemaProviderInner {
    fn system_table(&self, name: &str) -> Option<SystemTableRef>;

    fn table_info(catalog_name: String, table: &SystemTableRef) -> TableInfoRef {
-        let table_meta = TableMetaBuilder::default()
+        let table_meta = TableMetaBuilder::empty()
            .schema(table.schema())
            .primary_key_indices(vec![])
            .next_column_id(0)
--- a/src/catalog/src/system_schema/information_schema.rs
+++ b/src/catalog/src/system_schema/information_schema.rs
@@ -19,7 +19,7 @@ mod information_memory_table;
 pub mod key_column_usage;
 mod partitions;
 mod procedure_info;
-mod region_peers;
+pub mod region_peers;
 mod region_statistics;
 mod runtime_metrics;
 pub mod schemata;
@@ -49,7 +49,6 @@ pub use table_names::*;
 use views::InformationSchemaViews;

 use self::columns::InformationSchemaColumns;
-use super::{SystemSchemaProviderInner, SystemTable, SystemTableRef};
 use crate::error::{Error, Result};
 use crate::system_schema::information_schema::cluster_info::InformationSchemaClusterInfo;
 use crate::system_schema::information_schema::flows::InformationSchemaFlows;
@@ -63,7 +62,9 @@ use crate::system_schema::information_schema::table_constraints::InformationSche
 use crate::system_schema::information_schema::tables::InformationSchemaTables;
 use crate::system_schema::memory_table::MemoryTable;
 pub(crate) use crate::system_schema::predicate::Predicates;
-use crate::system_schema::SystemSchemaProvider;
+use crate::system_schema::{
+    SystemSchemaProvider, SystemSchemaProviderInner, SystemTable, SystemTableRef,
+};
 use crate::CatalogManager;

 lazy_static! {
--- a/src/catalog/src/system_schema/information_schema/cluster_info.rs
+++ b/src/catalog/src/system_schema/information_schema/cluster_info.rs
@@ -36,9 +36,8 @@ use datatypes::vectors::{
 use snafu::ResultExt;
 use store_api::storage::{ScanRequest, TableId};

-use super::CLUSTER_INFO;
 use crate::error::{CreateRecordBatchSnafu, InternalSnafu, Result};
-use crate::system_schema::information_schema::{InformationTable, Predicates};
+use crate::system_schema::information_schema::{InformationTable, Predicates, CLUSTER_INFO};
 use crate::system_schema::utils;
 use crate::CatalogManager;

--- a/src/catalog/src/system_schema/information_schema/columns.rs
+++ b/src/catalog/src/system_schema/information_schema/columns.rs
@@ -38,11 +38,11 @@ use snafu::{OptionExt, ResultExt};
 use sql::statements;
 use store_api::storage::{ScanRequest, TableId};

-use super::{InformationTable, COLUMNS};
 use crate::error::{
    CreateRecordBatchSnafu, InternalSnafu, Result, UpgradeWeakCatalogManagerRefSnafu,
 };
 use crate::information_schema::Predicates;
+use crate::system_schema::information_schema::{InformationTable, COLUMNS};
 use crate::CatalogManager;

 #[derive(Debug)]
@@ -56,6 +56,8 @@ pub const TABLE_CATALOG: &str = "table_catalog";
 pub const TABLE_SCHEMA: &str = "table_schema";
 pub const TABLE_NAME: &str = "table_name";
 pub const COLUMN_NAME: &str = "column_name";
+pub const REGION_ID: &str = "region_id";
+pub const PEER_ID: &str = "peer_id";
 const ORDINAL_POSITION: &str = "ordinal_position";
 const CHARACTER_MAXIMUM_LENGTH: &str = "character_maximum_length";
 const CHARACTER_OCTET_LENGTH: &str = "character_octet_length";
@@ -365,10 +367,6 @@ impl InformationSchemaColumnsBuilder {
            self.numeric_scales.push(None);

            match &column_schema.data_type {
-                ConcreteDataType::DateTime(datetime_type) => {
-                    self.datetime_precisions
-                        .push(Some(datetime_type.precision() as i64));
-                }
                ConcreteDataType::Timestamp(ts_type) => {
                    self.datetime_precisions
                        .push(Some(ts_type.precision() as i64));
--- a/src/catalog/src/system_schema/information_schema/flows.rs
+++ b/src/catalog/src/system_schema/information_schema/flows.rs
@@ -28,16 +28,19 @@ use datafusion::physical_plan::streaming::PartitionStream as DfPartitionStream;
 use datatypes::prelude::ConcreteDataType as CDT;
 use datatypes::scalars::ScalarVectorBuilder;
 use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
+use datatypes::timestamp::TimestampMillisecond;
 use datatypes::value::Value;
 use datatypes::vectors::{
-    Int64VectorBuilder, StringVectorBuilder, UInt32VectorBuilder, UInt64VectorBuilder, VectorRef,
+    Int64VectorBuilder, StringVectorBuilder, TimestampMillisecondVectorBuilder,
+    UInt32VectorBuilder, UInt64VectorBuilder, VectorRef,
 };
 use futures::TryStreamExt;
 use snafu::{OptionExt, ResultExt};
 use store_api::storage::{ScanRequest, TableId};

 use crate::error::{
-    CreateRecordBatchSnafu, FlowInfoNotFoundSnafu, InternalSnafu, JsonSnafu, ListFlowsSnafu, Result,
+    CreateRecordBatchSnafu, FlowInfoNotFoundSnafu, InternalSnafu, JsonSnafu, ListFlowsSnafu,
+    Result, UpgradeWeakCatalogManagerRefSnafu,
 };
 use crate::information_schema::{Predicates, FLOWS};
 use crate::system_schema::information_schema::InformationTable;
@@ -59,6 +62,10 @@ pub const SOURCE_TABLE_IDS: &str = "source_table_ids";
 pub const SINK_TABLE_NAME: &str = "sink_table_name";
 pub const FLOWNODE_IDS: &str = "flownode_ids";
 pub const OPTIONS: &str = "options";
+pub const CREATED_TIME: &str = "created_time";
+pub const UPDATED_TIME: &str = "updated_time";
+pub const LAST_EXECUTION_TIME: &str = "last_execution_time";
+pub const SOURCE_TABLE_NAMES: &str = "source_table_names";

 /// The `information_schema.flows` to provides information about flows in databases.
 #[derive(Debug)]
@@ -99,6 +106,14 @@ impl InformationSchemaFlows {
                (SINK_TABLE_NAME, CDT::string_datatype(), false),
                (FLOWNODE_IDS, CDT::string_datatype(), true),
                (OPTIONS, CDT::string_datatype(), true),
+                (CREATED_TIME, CDT::timestamp_millisecond_datatype(), false),
+                (UPDATED_TIME, CDT::timestamp_millisecond_datatype(), false),
+                (
+                    LAST_EXECUTION_TIME,
+                    CDT::timestamp_millisecond_datatype(),
+                    true,
+                ),
+                (SOURCE_TABLE_NAMES, CDT::string_datatype(), true),
            ]
            .into_iter()
            .map(|(name, ty, nullable)| ColumnSchema::new(name, ty, nullable))
@@ -170,6 +185,10 @@ struct InformationSchemaFlowsBuilder {
    sink_table_names: StringVectorBuilder,
    flownode_id_groups: StringVectorBuilder,
    option_groups: StringVectorBuilder,
+    created_time: TimestampMillisecondVectorBuilder,
+    updated_time: TimestampMillisecondVectorBuilder,
+    last_execution_time: TimestampMillisecondVectorBuilder,
+    source_table_names: StringVectorBuilder,
 }

 impl InformationSchemaFlowsBuilder {
@@ -196,6 +215,10 @@ impl InformationSchemaFlowsBuilder {
            sink_table_names: StringVectorBuilder::with_capacity(INIT_CAPACITY),
            flownode_id_groups: StringVectorBuilder::with_capacity(INIT_CAPACITY),
            option_groups: StringVectorBuilder::with_capacity(INIT_CAPACITY),
+            created_time: TimestampMillisecondVectorBuilder::with_capacity(INIT_CAPACITY),
+            updated_time: TimestampMillisecondVectorBuilder::with_capacity(INIT_CAPACITY),
+            last_execution_time: TimestampMillisecondVectorBuilder::with_capacity(INIT_CAPACITY),
+            source_table_names: StringVectorBuilder::with_capacity(INIT_CAPACITY),
        }
    }

@@ -235,13 +258,14 @@ impl InformationSchemaFlowsBuilder {
                    catalog_name: catalog_name.to_string(),
                    flow_name: flow_name.to_string(),
                })?;
-            self.add_flow(&predicates, flow_id.flow_id(), flow_info, &flow_stat)?;
+            self.add_flow(&predicates, flow_id.flow_id(), flow_info, &flow_stat)
+                .await?;
        }

        self.finish()
    }

-    fn add_flow(
+    async fn add_flow(
        &mut self,
        predicates: &Predicates,
        flow_id: FlowId,
@@ -290,6 +314,36 @@ impl InformationSchemaFlowsBuilder {
                    input: format!("{:?}", flow_info.options()),
                },
            )?));
+        self.created_time
+            .push(Some(flow_info.created_time().timestamp_millis().into()));
+        self.updated_time
+            .push(Some(flow_info.updated_time().timestamp_millis().into()));
+        self.last_execution_time
+            .push(flow_stat.as_ref().and_then(|state| {
+                state
+                    .last_exec_time_map
+                    .get(&flow_id)
+                    .map(|v| TimestampMillisecond::new(*v))
+            }));
+
+        let mut source_table_names = vec![];
+        let catalog_name = self.catalog_name.clone();
+        let catalog_manager = self
+            .catalog_manager
+            .upgrade()
+            .context(UpgradeWeakCatalogManagerRefSnafu)?;
+        for schema_name in catalog_manager.schema_names(&catalog_name, None).await? {
+            source_table_names.extend(
+                catalog_manager
+                    .tables_by_ids(&catalog_name, &schema_name, flow_info.source_table_ids())
+                    .await?
+                    .into_iter()
+                    .map(|table| table.table_info().full_table_name()),
+            );
+        }
+
+        let source_table_names = source_table_names.join(",");
+        self.source_table_names.push(Some(&source_table_names));

        Ok(())
    }
@@ -307,6 +361,10 @@ impl InformationSchemaFlowsBuilder {
            Arc::new(self.sink_table_names.finish()),
            Arc::new(self.flownode_id_groups.finish()),
            Arc::new(self.option_groups.finish()),
+            Arc::new(self.created_time.finish()),
+            Arc::new(self.updated_time.finish()),
+            Arc::new(self.last_execution_time.finish()),
+            Arc::new(self.source_table_names.finish()),
        ];
        RecordBatch::new(self.schema.clone(), columns).context(CreateRecordBatchSnafu)
    }
--- a/src/catalog/src/system_schema/information_schema/information_memory_table.rs
+++ b/src/catalog/src/system_schema/information_schema/information_memory_table.rs
@@ -18,9 +18,9 @@ use common_catalog::consts::{METRIC_ENGINE, MITO_ENGINE};
 use datatypes::schema::{Schema, SchemaRef};
 use datatypes::vectors::{Int64Vector, StringVector, VectorRef};

-use super::table_names::*;
+use crate::system_schema::information_schema::table_names::*;
 use crate::system_schema::utils::tables::{
-    bigint_column, datetime_column, string_column, string_columns,
+    bigint_column, string_column, string_columns, timestamp_micro_column,
 };

 const NO_VALUE: &str = "NO";
@@ -163,17 +163,17 @@ pub(super) fn get_schema_columns(table_name: &str) -> (SchemaRef, Vec<VectorRef>
                string_column("EVENT_BODY"),
                string_column("EVENT_DEFINITION"),
                string_column("EVENT_TYPE"),
-                datetime_column("EXECUTE_AT"),
+                timestamp_micro_column("EXECUTE_AT"),
                bigint_column("INTERVAL_VALUE"),
                string_column("INTERVAL_FIELD"),
                string_column("SQL_MODE"),
-                datetime_column("STARTS"),
-                datetime_column("ENDS"),
+                timestamp_micro_column("STARTS"),
+                timestamp_micro_column("ENDS"),
                string_column("STATUS"),
                string_column("ON_COMPLETION"),
-                datetime_column("CREATED"),
-                datetime_column("LAST_ALTERED"),
-                datetime_column("LAST_EXECUTED"),
+                timestamp_micro_column("CREATED"),
+                timestamp_micro_column("LAST_ALTERED"),
+                timestamp_micro_column("LAST_EXECUTED"),
                string_column("EVENT_COMMENT"),
                bigint_column("ORIGINATOR"),
                string_column("CHARACTER_SET_CLIENT"),
@@ -204,10 +204,10 @@ pub(super) fn get_schema_columns(table_name: &str) -> (SchemaRef, Vec<VectorRef>
                bigint_column("INITIAL_SIZE"),
                bigint_column("MAXIMUM_SIZE"),
                bigint_column("AUTOEXTEND_SIZE"),
-                datetime_column("CREATION_TIME"),
-                datetime_column("LAST_UPDATE_TIME"),
-                datetime_column("LAST_ACCESS_TIME"),
-                datetime_column("RECOVER_TIME"),
+                timestamp_micro_column("CREATION_TIME"),
+                timestamp_micro_column("LAST_UPDATE_TIME"),
+                timestamp_micro_column("LAST_ACCESS_TIME"),
+                timestamp_micro_column("RECOVER_TIME"),
                bigint_column("TRANSACTION_COUNTER"),
                string_column("VERSION"),
                string_column("ROW_FORMAT"),
@@ -217,9 +217,9 @@ pub(super) fn get_schema_columns(table_name: &str) -> (SchemaRef, Vec<VectorRef>
                bigint_column("MAX_DATA_LENGTH"),
                bigint_column("INDEX_LENGTH"),
                bigint_column("DATA_FREE"),
-                datetime_column("CREATE_TIME"),
-                datetime_column("UPDATE_TIME"),
-                datetime_column("CHECK_TIME"),
+                timestamp_micro_column("CREATE_TIME"),
+                timestamp_micro_column("UPDATE_TIME"),
+                timestamp_micro_column("CHECK_TIME"),
                string_column("CHECKSUM"),
                string_column("STATUS"),
                string_column("EXTRA"),
@@ -330,8 +330,8 @@ pub(super) fn get_schema_columns(table_name: &str) -> (SchemaRef, Vec<VectorRef>
                string_column("SQL_DATA_ACCESS"),
                string_column("SQL_PATH"),
                string_column("SECURITY_TYPE"),
-                datetime_column("CREATED"),
-                datetime_column("LAST_ALTERED"),
+                timestamp_micro_column("CREATED"),
+                timestamp_micro_column("LAST_ALTERED"),
                string_column("SQL_MODE"),
                string_column("ROUTINE_COMMENT"),
                string_column("DEFINER"),
@@ -383,7 +383,7 @@ pub(super) fn get_schema_columns(table_name: &str) -> (SchemaRef, Vec<VectorRef>
                string_column("ACTION_REFERENCE_NEW_TABLE"),
                string_column("ACTION_REFERENCE_OLD_ROW"),
                string_column("ACTION_REFERENCE_NEW_ROW"),
-                datetime_column("CREATED"),
+                timestamp_micro_column("CREATED"),
                string_column("SQL_MODE"),
                string_column("DEFINER"),
                string_column("CHARACTER_SET_CLIENT"),
--- a/src/catalog/src/system_schema/information_schema/key_column_usage.rs
+++ b/src/catalog/src/system_schema/information_schema/key_column_usage.rs
@@ -24,18 +24,17 @@ use datafusion::physical_plan::stream::RecordBatchStreamAdapter as DfRecordBatch
 use datafusion::physical_plan::streaming::PartitionStream as DfPartitionStream;
 use datafusion::physical_plan::SendableRecordBatchStream as DfSendableRecordBatchStream;
 use datatypes::prelude::{ConcreteDataType, MutableVector, ScalarVectorBuilder, VectorRef};
-use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
+use datatypes::schema::{ColumnSchema, FulltextBackend, Schema, SchemaRef};
 use datatypes::value::Value;
 use datatypes::vectors::{ConstantVector, StringVector, StringVectorBuilder, UInt32VectorBuilder};
 use futures_util::TryStreamExt;
 use snafu::{OptionExt, ResultExt};
 use store_api::storage::{ScanRequest, TableId};

-use super::KEY_COLUMN_USAGE;
 use crate::error::{
    CreateRecordBatchSnafu, InternalSnafu, Result, UpgradeWeakCatalogManagerRefSnafu,
 };
-use crate::system_schema::information_schema::{InformationTable, Predicates};
+use crate::system_schema::information_schema::{InformationTable, Predicates, KEY_COLUMN_USAGE};
 use crate::CatalogManager;

 pub const CONSTRAINT_SCHEMA: &str = "constraint_schema";
@@ -48,20 +47,38 @@ pub const TABLE_SCHEMA: &str = "table_schema";
 pub const TABLE_NAME: &str = "table_name";
 pub const COLUMN_NAME: &str = "column_name";
 pub const ORDINAL_POSITION: &str = "ordinal_position";
+/// The type of the index.
+pub const GREPTIME_INDEX_TYPE: &str = "greptime_index_type";
 const INIT_CAPACITY: usize = 42;

-/// Primary key constraint name
-pub(crate) const PRI_CONSTRAINT_NAME: &str = "PRIMARY";
 /// Time index constraint name
-pub(crate) const TIME_INDEX_CONSTRAINT_NAME: &str = "TIME INDEX";
+pub(crate) const CONSTRAINT_NAME_TIME_INDEX: &str = "TIME INDEX";
+
+/// Primary key constraint name
+pub(crate) const CONSTRAINT_NAME_PRI: &str = "PRIMARY";
+/// Primary key index type
+pub(crate) const INDEX_TYPE_PRI: &str = "greptime-primary-key-v1";
+
 /// Inverted index constraint name
-pub(crate) const INVERTED_INDEX_CONSTRAINT_NAME: &str = "INVERTED INDEX";
+pub(crate) const CONSTRAINT_NAME_INVERTED_INDEX: &str = "INVERTED INDEX";
+/// Inverted index type
+pub(crate) const INDEX_TYPE_INVERTED_INDEX: &str = "greptime-inverted-index-v1";
+
 /// Fulltext index constraint name
-pub(crate) const FULLTEXT_INDEX_CONSTRAINT_NAME: &str = "FULLTEXT INDEX";
+pub(crate) const CONSTRAINT_NAME_FULLTEXT_INDEX: &str = "FULLTEXT INDEX";
+/// Fulltext index v1 type
+pub(crate) const INDEX_TYPE_FULLTEXT_TANTIVY: &str = "greptime-fulltext-index-v1";
+/// Fulltext index bloom type
+pub(crate) const INDEX_TYPE_FULLTEXT_BLOOM: &str = "greptime-fulltext-index-bloom";
+
 /// Skipping index constraint name
-pub(crate) const SKIPPING_INDEX_CONSTRAINT_NAME: &str = "SKIPPING INDEX";
+pub(crate) const CONSTRAINT_NAME_SKIPPING_INDEX: &str = "SKIPPING INDEX";
+/// Skipping index type
+pub(crate) const INDEX_TYPE_SKIPPING_INDEX: &str = "greptime-bloom-filter-v1";

 /// The virtual table implementation for `information_schema.KEY_COLUMN_USAGE`.
+///
+/// Provides an extra column `greptime_index_type` for the index type of the key column.
 #[derive(Debug)]
 pub(super) struct InformationSchemaKeyColumnUsage {
    schema: SchemaRef,
@@ -121,6 +138,11 @@ impl InformationSchemaKeyColumnUsage {
                ConcreteDataType::string_datatype(),
                true,
            ),
+            ColumnSchema::new(
+                GREPTIME_INDEX_TYPE,
+                ConcreteDataType::string_datatype(),
+                true,
+            ),
        ]))
    }

@@ -185,6 +207,7 @@ struct InformationSchemaKeyColumnUsageBuilder {
    column_name: StringVectorBuilder,
    ordinal_position: UInt32VectorBuilder,
    position_in_unique_constraint: UInt32VectorBuilder,
+    greptime_index_type: StringVectorBuilder,
 }

 impl InformationSchemaKeyColumnUsageBuilder {
@@ -207,6 +230,7 @@ impl InformationSchemaKeyColumnUsageBuilder {
            column_name: StringVectorBuilder::with_capacity(INIT_CAPACITY),
            ordinal_position: UInt32VectorBuilder::with_capacity(INIT_CAPACITY),
            position_in_unique_constraint: UInt32VectorBuilder::with_capacity(INIT_CAPACITY),
+            greptime_index_type: StringVectorBuilder::with_capacity(INIT_CAPACITY),
        }
    }

@@ -230,34 +254,47 @@ impl InformationSchemaKeyColumnUsageBuilder {

                for (idx, column) in schema.column_schemas().iter().enumerate() {
                    let mut constraints = vec![];
+                    let mut greptime_index_type = vec![];
                    if column.is_time_index() {
                        self.add_key_column_usage(
                            &predicates,
                            &schema_name,
-                            TIME_INDEX_CONSTRAINT_NAME,
+                            CONSTRAINT_NAME_TIME_INDEX,
                            &catalog_name,
                            &schema_name,
                            table_name,
                            &column.name,
                            1, //always 1 for time index
+                            "",
                        );
                    }
                    // TODO(dimbtp): foreign key constraint not supported yet
                    if keys.contains(&idx) {
-                        constraints.push(PRI_CONSTRAINT_NAME);
+                        constraints.push(CONSTRAINT_NAME_PRI);
+                        greptime_index_type.push(INDEX_TYPE_PRI);
                    }
                    if column.is_inverted_indexed() {
-                        constraints.push(INVERTED_INDEX_CONSTRAINT_NAME);
+                        constraints.push(CONSTRAINT_NAME_INVERTED_INDEX);
+                        greptime_index_type.push(INDEX_TYPE_INVERTED_INDEX);
                    }
-                    if column.is_fulltext_indexed() {
-                        constraints.push(FULLTEXT_INDEX_CONSTRAINT_NAME);
+                    if let Ok(Some(options)) = column.fulltext_options() {
+                        if options.enable {
+                            constraints.push(CONSTRAINT_NAME_FULLTEXT_INDEX);
+                            let index_type = match options.backend {
+                                FulltextBackend::Bloom => INDEX_TYPE_FULLTEXT_BLOOM,
+                                FulltextBackend::Tantivy => INDEX_TYPE_FULLTEXT_TANTIVY,
+                            };
+                            greptime_index_type.push(index_type);
+                        }
                    }
                    if column.is_skipping_indexed() {
-                        constraints.push(SKIPPING_INDEX_CONSTRAINT_NAME);
+                        constraints.push(CONSTRAINT_NAME_SKIPPING_INDEX);
+                        greptime_index_type.push(INDEX_TYPE_SKIPPING_INDEX);
                    }

                    if !constraints.is_empty() {
                        let aggregated_constraints = constraints.join(", ");
+                        let aggregated_index_types = greptime_index_type.join(", ");
                        self.add_key_column_usage(
                            &predicates,
                            &schema_name,
@@ -267,6 +304,7 @@ impl InformationSchemaKeyColumnUsageBuilder {
                            table_name,
                            &column.name,
                            idx as u32 + 1,
+                            &aggregated_index_types,
                        );
                    }
                }
@@ -289,6 +327,7 @@ impl InformationSchemaKeyColumnUsageBuilder {
        table_name: &str,
        column_name: &str,
        ordinal_position: u32,
+        index_types: &str,
    ) {
        let row = [
            (CONSTRAINT_SCHEMA, &Value::from(constraint_schema)),
@@ -298,6 +337,7 @@ impl InformationSchemaKeyColumnUsageBuilder {
            (TABLE_NAME, &Value::from(table_name)),
            (COLUMN_NAME, &Value::from(column_name)),
            (ORDINAL_POSITION, &Value::from(ordinal_position)),
+            (GREPTIME_INDEX_TYPE, &Value::from(index_types)),
        ];

        if !predicates.eval(&row) {
@@ -314,6 +354,7 @@ impl InformationSchemaKeyColumnUsageBuilder {
        self.column_name.push(Some(column_name));
        self.ordinal_position.push(Some(ordinal_position));
        self.position_in_unique_constraint.push(None);
+        self.greptime_index_type.push(Some(index_types));
    }

    fn finish(&mut self) -> Result<RecordBatch> {
@@ -337,6 +378,7 @@ impl InformationSchemaKeyColumnUsageBuilder {
            null_string_vector.clone(),
            null_string_vector.clone(),
            null_string_vector,
+            Arc::new(self.greptime_index_type.finish()),
        ];
        RecordBatch::new(self.schema.clone(), columns).context(CreateRecordBatchSnafu)
    }
--- a/src/catalog/src/system_schema/information_schema/partitions.rs
+++ b/src/catalog/src/system_schema/information_schema/partitions.rs
@@ -20,17 +20,18 @@ use common_catalog::consts::INFORMATION_SCHEMA_PARTITIONS_TABLE_ID;
 use common_error::ext::BoxedError;
 use common_recordbatch::adapter::RecordBatchStreamAdapter;
 use common_recordbatch::{RecordBatch, SendableRecordBatchStream};
-use common_time::datetime::DateTime;
 use datafusion::execution::TaskContext;
 use datafusion::physical_plan::stream::RecordBatchStreamAdapter as DfRecordBatchStreamAdapter;
 use datafusion::physical_plan::streaming::PartitionStream as DfPartitionStream;
 use datafusion::physical_plan::SendableRecordBatchStream as DfSendableRecordBatchStream;
 use datatypes::prelude::{ConcreteDataType, ScalarVectorBuilder, VectorRef};
 use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
+use datatypes::timestamp::TimestampMicrosecond;
 use datatypes::value::Value;
 use datatypes::vectors::{
-    ConstantVector, DateTimeVector, DateTimeVectorBuilder, Int64Vector, Int64VectorBuilder,
-    MutableVector, StringVector, StringVectorBuilder, UInt64VectorBuilder,
+    ConstantVector, Int64Vector, Int64VectorBuilder, MutableVector, StringVector,
+    StringVectorBuilder, TimestampMicrosecondVector, TimestampMicrosecondVectorBuilder,
+    UInt64VectorBuilder,
 };
 use futures::{StreamExt, TryStreamExt};
 use partition::manager::PartitionInfo;
@@ -38,13 +39,12 @@ use snafu::{OptionExt, ResultExt};
 use store_api::storage::{ScanRequest, TableId};
 use table::metadata::{TableInfo, TableType};

-use super::PARTITIONS;
 use crate::error::{
    CreateRecordBatchSnafu, FindPartitionsSnafu, InternalSnafu, PartitionManagerNotFoundSnafu,
    Result, UpgradeWeakCatalogManagerRefSnafu,
 };
 use crate::kvbackend::KvBackendCatalogManager;
-use crate::system_schema::information_schema::{InformationTable, Predicates};
+use crate::system_schema::information_schema::{InformationTable, Predicates, PARTITIONS};
 use crate::CatalogManager;

 const TABLE_CATALOG: &str = "table_catalog";
@@ -127,9 +127,21 @@ impl InformationSchemaPartitions {
            ColumnSchema::new("max_data_length", ConcreteDataType::int64_datatype(), true),
            ColumnSchema::new("index_length", ConcreteDataType::int64_datatype(), true),
            ColumnSchema::new("data_free", ConcreteDataType::int64_datatype(), true),
-            ColumnSchema::new("create_time", ConcreteDataType::datetime_datatype(), true),
-            ColumnSchema::new("update_time", ConcreteDataType::datetime_datatype(), true),
-            ColumnSchema::new("check_time", ConcreteDataType::datetime_datatype(), true),
+            ColumnSchema::new(
+                "create_time",
+                ConcreteDataType::timestamp_microsecond_datatype(),
+                true,
+            ),
+            ColumnSchema::new(
+                "update_time",
+                ConcreteDataType::timestamp_microsecond_datatype(),
+                true,
+            ),
+            ColumnSchema::new(
+                "check_time",
+                ConcreteDataType::timestamp_microsecond_datatype(),
+                true,
+            ),
            ColumnSchema::new("checksum", ConcreteDataType::int64_datatype(), true),
            ColumnSchema::new(
                "partition_comment",
@@ -200,7 +212,7 @@ struct InformationSchemaPartitionsBuilder {
    partition_names: StringVectorBuilder,
    partition_ordinal_positions: Int64VectorBuilder,
    partition_expressions: StringVectorBuilder,
-    create_times: DateTimeVectorBuilder,
+    create_times: TimestampMicrosecondVectorBuilder,
    partition_ids: UInt64VectorBuilder,
 }

@@ -220,7 +232,7 @@ impl InformationSchemaPartitionsBuilder {
            partition_names: StringVectorBuilder::with_capacity(INIT_CAPACITY),
            partition_ordinal_positions: Int64VectorBuilder::with_capacity(INIT_CAPACITY),
            partition_expressions: StringVectorBuilder::with_capacity(INIT_CAPACITY),
-            create_times: DateTimeVectorBuilder::with_capacity(INIT_CAPACITY),
+            create_times: TimestampMicrosecondVectorBuilder::with_capacity(INIT_CAPACITY),
            partition_ids: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
        }
    }
@@ -324,7 +336,7 @@ impl InformationSchemaPartitionsBuilder {
            };

            self.partition_expressions.push(expressions.as_deref());
-            self.create_times.push(Some(DateTime::from(
+            self.create_times.push(Some(TimestampMicrosecond::from(
                table_info.meta.created_on.timestamp_millis(),
            )));
            self.partition_ids.push(Some(partition.id.as_u64()));
@@ -342,8 +354,8 @@ impl InformationSchemaPartitionsBuilder {
            Arc::new(Int64Vector::from(vec![None])),
            rows_num,
        ));
-        let null_datetime_vector = Arc::new(ConstantVector::new(
-            Arc::new(DateTimeVector::from(vec![None])),
+        let null_timestampmicrosecond_vector = Arc::new(ConstantVector::new(
+            Arc::new(TimestampMicrosecondVector::from(vec![None])),
            rows_num,
        ));
        let partition_methods = Arc::new(ConstantVector::new(
@@ -373,8 +385,8 @@ impl InformationSchemaPartitionsBuilder {
            null_i64_vector.clone(),
            Arc::new(self.create_times.finish()),
            // TODO(dennis): supports update_time
-            null_datetime_vector.clone(),
-            null_datetime_vector,
+            null_timestampmicrosecond_vector.clone(),
+            null_timestampmicrosecond_vector,
            null_i64_vector,
            null_string_vector.clone(),
            null_string_vector.clone(),
--- a/src/catalog/src/system_schema/information_schema/procedure_info.rs
+++ b/src/catalog/src/system_schema/information_schema/procedure_info.rs
@@ -33,9 +33,8 @@ use datatypes::vectors::{StringVectorBuilder, TimestampMillisecondVectorBuilder}
 use snafu::ResultExt;
 use store_api::storage::{ScanRequest, TableId};

-use super::PROCEDURE_INFO;
 use crate::error::{CreateRecordBatchSnafu, InternalSnafu, Result};
-use crate::system_schema::information_schema::{InformationTable, Predicates};
+use crate::system_schema::information_schema::{InformationTable, Predicates, PROCEDURE_INFO};
 use crate::system_schema::utils;
 use crate::CatalogManager;

--- a/src/catalog/src/system_schema/information_schema/region_peers.rs
+++ b/src/catalog/src/system_schema/information_schema/region_peers.rs
@@ -21,6 +21,7 @@ use common_error::ext::BoxedError;
 use common_meta::rpc::router::RegionRoute;
 use common_recordbatch::adapter::RecordBatchStreamAdapter;
 use common_recordbatch::{RecordBatch, SendableRecordBatchStream};
+use datafusion::common::HashMap;
 use datafusion::execution::TaskContext;
 use datafusion::physical_plan::stream::RecordBatchStreamAdapter as DfRecordBatchStreamAdapter;
 use datafusion::physical_plan::streaming::PartitionStream as DfPartitionStream;
@@ -34,25 +35,30 @@ use snafu::{OptionExt, ResultExt};
 use store_api::storage::{RegionId, ScanRequest, TableId};
 use table::metadata::TableType;

-use super::REGION_PEERS;
 use crate::error::{
    CreateRecordBatchSnafu, FindRegionRoutesSnafu, InternalSnafu, Result,
    UpgradeWeakCatalogManagerRefSnafu,
 };
 use crate::kvbackend::KvBackendCatalogManager;
-use crate::system_schema::information_schema::{InformationTable, Predicates};
+use crate::system_schema::information_schema::{InformationTable, Predicates, REGION_PEERS};
 use crate::CatalogManager;

-const REGION_ID: &str = "region_id";
-const PEER_ID: &str = "peer_id";
+pub const TABLE_CATALOG: &str = "table_catalog";
+pub const TABLE_SCHEMA: &str = "table_schema";
+pub const TABLE_NAME: &str = "table_name";
+pub const REGION_ID: &str = "region_id";
+pub const PEER_ID: &str = "peer_id";
 const PEER_ADDR: &str = "peer_addr";
-const IS_LEADER: &str = "is_leader";
+pub const IS_LEADER: &str = "is_leader";
 const STATUS: &str = "status";
 const DOWN_SECONDS: &str = "down_seconds";
 const INIT_CAPACITY: usize = 42;

 /// The `REGION_PEERS` table provides information about the region distribution and routes. Including fields:
 ///
+/// - `table_catalog`: the table catalog name
+/// - `table_schema`: the table schema name
+/// - `table_name`: the table name
 /// - `region_id`: the region id
 /// - `peer_id`: the region storage datanode peer id
 /// - `peer_addr`: the region storage datanode gRPC peer address
@@ -77,6 +83,9 @@ impl InformationSchemaRegionPeers {

    pub(crate) fn schema() -> SchemaRef {
        Arc::new(Schema::new(vec![
+            ColumnSchema::new(TABLE_CATALOG, ConcreteDataType::string_datatype(), false),
+            ColumnSchema::new(TABLE_SCHEMA, ConcreteDataType::string_datatype(), false),
+            ColumnSchema::new(TABLE_NAME, ConcreteDataType::string_datatype(), false),
            ColumnSchema::new(REGION_ID, ConcreteDataType::uint64_datatype(), false),
            ColumnSchema::new(PEER_ID, ConcreteDataType::uint64_datatype(), true),
            ColumnSchema::new(PEER_ADDR, ConcreteDataType::string_datatype(), true),
@@ -134,6 +143,9 @@ struct InformationSchemaRegionPeersBuilder {
    catalog_name: String,
    catalog_manager: Weak<dyn CatalogManager>,

+    table_catalogs: StringVectorBuilder,
+    table_schemas: StringVectorBuilder,
+    table_names: StringVectorBuilder,
    region_ids: UInt64VectorBuilder,
    peer_ids: UInt64VectorBuilder,
    peer_addrs: StringVectorBuilder,
@@ -152,6 +164,9 @@ impl InformationSchemaRegionPeersBuilder {
            schema,
            catalog_name,
            catalog_manager,
+            table_catalogs: StringVectorBuilder::with_capacity(INIT_CAPACITY),
+            table_schemas: StringVectorBuilder::with_capacity(INIT_CAPACITY),
+            table_names: StringVectorBuilder::with_capacity(INIT_CAPACITY),
            region_ids: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
            peer_ids: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
            peer_addrs: StringVectorBuilder::with_capacity(INIT_CAPACITY),
@@ -177,24 +192,28 @@ impl InformationSchemaRegionPeersBuilder {
        let predicates = Predicates::from_scan_request(&request);

        for schema_name in catalog_manager.schema_names(&catalog_name, None).await? {
-            let table_id_stream = catalog_manager
+            let table_stream = catalog_manager
                .tables(&catalog_name, &schema_name, None)
                .try_filter_map(|t| async move {
                    let table_info = t.table_info();
                    if table_info.table_type == TableType::Temporary {
                        Ok(None)
                    } else {
-                        Ok(Some(table_info.ident.table_id))
+                        Ok(Some((
+                            table_info.ident.table_id,
+                            table_info.name.to_string(),
+                        )))
                    }
                });

            const BATCH_SIZE: usize = 128;

-            // Split table ids into chunks
-            let mut table_id_chunks = pin!(table_id_stream.ready_chunks(BATCH_SIZE));
+            // Split tables into chunks
+            let mut table_chunks = pin!(table_stream.ready_chunks(BATCH_SIZE));

-            while let Some(table_ids) = table_id_chunks.next().await {
-                let table_ids = table_ids.into_iter().collect::<Result<Vec<_>>>()?;
+            while let Some(tables) = table_chunks.next().await {
+                let tables = tables.into_iter().collect::<Result<HashMap<_, _>>>()?;
+                let table_ids = tables.keys().cloned().collect::<Vec<_>>();

                let table_routes = if let Some(partition_manager) = &partition_manager {
                    partition_manager
@@ -206,7 +225,16 @@ impl InformationSchemaRegionPeersBuilder {
                };

                for (table_id, routes) in table_routes {
-                    self.add_region_peers(&predicates, table_id, &routes);
+                    // Safety: table_id is guaranteed to be in the map
+                    let table_name = tables.get(&table_id).unwrap();
+                    self.add_region_peers(
+                        &catalog_name,
+                        &schema_name,
+                        table_name,
+                        &predicates,
+                        table_id,
+                        &routes,
+                    );
                }
            }
        }
@@ -216,6 +244,9 @@ impl InformationSchemaRegionPeersBuilder {

    fn add_region_peers(
        &mut self,
+        table_catalog: &str,
+        table_schema: &str,
+        table_name: &str,
        predicates: &Predicates,
        table_id: TableId,
        routes: &[RegionRoute],
@@ -231,13 +262,20 @@ impl InformationSchemaRegionPeersBuilder {
                Some("ALIVE".to_string())
            };

-            let row = [(REGION_ID, &Value::from(region_id))];
+            let row = [
+                (TABLE_CATALOG, &Value::from(table_catalog)),
+                (TABLE_SCHEMA, &Value::from(table_schema)),
+                (TABLE_NAME, &Value::from(table_name)),
+                (REGION_ID, &Value::from(region_id)),
+            ];

            if !predicates.eval(&row) {
                return;
            }

-            // TODO(dennis): adds followers.
+            self.table_catalogs.push(Some(table_catalog));
+            self.table_schemas.push(Some(table_schema));
+            self.table_names.push(Some(table_name));
            self.region_ids.push(Some(region_id));
            self.peer_ids.push(peer_id);
            self.peer_addrs.push(peer_addr.as_deref());
@@ -245,11 +283,26 @@ impl InformationSchemaRegionPeersBuilder {
            self.statuses.push(state.as_deref());
            self.down_seconds
                .push(route.leader_down_millis().map(|m| m / 1000));
+
+            for follower in &route.follower_peers {
+                self.table_catalogs.push(Some(table_catalog));
+                self.table_schemas.push(Some(table_schema));
+                self.table_names.push(Some(table_name));
+                self.region_ids.push(Some(region_id));
+                self.peer_ids.push(Some(follower.id));
+                self.peer_addrs.push(Some(follower.addr.as_str()));
+                self.is_leaders.push(Some("No"));
+                self.statuses.push(None);
+                self.down_seconds.push(None);
+            }
        }
    }

    fn finish(&mut self) -> Result<RecordBatch> {
        let columns: Vec<VectorRef> = vec![
+            Arc::new(self.table_catalogs.finish()),
+            Arc::new(self.table_schemas.finish()),
+            Arc::new(self.table_names.finish()),
            Arc::new(self.region_ids.finish()),
            Arc::new(self.peer_ids.finish()),
            Arc::new(self.peer_addrs.finish()),
--- a/src/catalog/src/system_schema/information_schema/region_statistics.rs
+++ b/src/catalog/src/system_schema/information_schema/region_statistics.rs
@@ -30,9 +30,9 @@ use datatypes::vectors::{StringVectorBuilder, UInt32VectorBuilder, UInt64VectorB
 use snafu::ResultExt;
 use store_api::storage::{ScanRequest, TableId};

-use super::{InformationTable, REGION_STATISTICS};
 use crate::error::{CreateRecordBatchSnafu, InternalSnafu, Result};
 use crate::information_schema::Predicates;
+use crate::system_schema::information_schema::{InformationTable, REGION_STATISTICS};
 use crate::system_schema::utils;
 use crate::CatalogManager;

--- a/src/catalog/src/system_schema/information_schema/runtime_metrics.rs
+++ b/src/catalog/src/system_schema/information_schema/runtime_metrics.rs
@@ -35,8 +35,8 @@ use itertools::Itertools;
 use snafu::ResultExt;
 use store_api::storage::{ScanRequest, TableId};

-use super::{InformationTable, RUNTIME_METRICS};
 use crate::error::{CreateRecordBatchSnafu, InternalSnafu, Result};
+use crate::system_schema::information_schema::{InformationTable, RUNTIME_METRICS};

 #[derive(Debug)]
 pub(super) struct InformationSchemaMetrics {
--- a/src/catalog/src/system_schema/information_schema/schemata.rs
+++ b/src/catalog/src/system_schema/information_schema/schemata.rs
@@ -31,12 +31,11 @@ use datatypes::vectors::StringVectorBuilder;
 use snafu::{OptionExt, ResultExt};
 use store_api::storage::{ScanRequest, TableId};

-use super::SCHEMATA;
 use crate::error::{
    CreateRecordBatchSnafu, InternalSnafu, Result, TableMetadataManagerSnafu,
    UpgradeWeakCatalogManagerRefSnafu,
 };
-use crate::system_schema::information_schema::{InformationTable, Predicates};
+use crate::system_schema::information_schema::{InformationTable, Predicates, SCHEMATA};
 use crate::system_schema::utils;
 use crate::CatalogManager;

--- a/src/catalog/src/system_schema/information_schema/table_constraints.rs
+++ b/src/catalog/src/system_schema/information_schema/table_constraints.rs
@@ -32,14 +32,14 @@ use futures::TryStreamExt;
 use snafu::{OptionExt, ResultExt};
 use store_api::storage::{ScanRequest, TableId};

-use super::{InformationTable, TABLE_CONSTRAINTS};
 use crate::error::{
    CreateRecordBatchSnafu, InternalSnafu, Result, UpgradeWeakCatalogManagerRefSnafu,
 };
 use crate::information_schema::key_column_usage::{
-    PRI_CONSTRAINT_NAME, TIME_INDEX_CONSTRAINT_NAME,
+    CONSTRAINT_NAME_PRI, CONSTRAINT_NAME_TIME_INDEX,
 };
 use crate::information_schema::Predicates;
+use crate::system_schema::information_schema::{InformationTable, TABLE_CONSTRAINTS};
 use crate::CatalogManager;

 /// The `TABLE_CONSTRAINTS` table describes which tables have constraints.
@@ -188,7 +188,7 @@ impl InformationSchemaTableConstraintsBuilder {
                    self.add_table_constraint(
                        &predicates,
                        &schema_name,
-                        TIME_INDEX_CONSTRAINT_NAME,
+                        CONSTRAINT_NAME_TIME_INDEX,
                        &schema_name,
                        &table.table_info().name,
                        TIME_INDEX_CONSTRAINT_TYPE,
@@ -199,7 +199,7 @@ impl InformationSchemaTableConstraintsBuilder {
                    self.add_table_constraint(
                        &predicates,
                        &schema_name,
-                        PRI_CONSTRAINT_NAME,
+                        CONSTRAINT_NAME_PRI,
                        &schema_name,
                        &table.table_info().name,
                        PRI_KEY_CONSTRAINT_TYPE,
--- a/src/catalog/src/system_schema/information_schema/tables.rs
+++ b/src/catalog/src/system_schema/information_schema/tables.rs
@@ -30,18 +30,18 @@ use datatypes::prelude::{ConcreteDataType, ScalarVectorBuilder, VectorRef};
 use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
 use datatypes::value::Value;
 use datatypes::vectors::{
-    DateTimeVectorBuilder, StringVectorBuilder, UInt32VectorBuilder, UInt64VectorBuilder,
+    StringVectorBuilder, TimestampMicrosecondVectorBuilder, UInt32VectorBuilder,
+    UInt64VectorBuilder,
 };
 use futures::TryStreamExt;
 use snafu::{OptionExt, ResultExt};
 use store_api::storage::{RegionId, ScanRequest, TableId};
 use table::metadata::{TableInfo, TableType};

-use super::TABLES;
 use crate::error::{
    CreateRecordBatchSnafu, InternalSnafu, Result, UpgradeWeakCatalogManagerRefSnafu,
 };
-use crate::system_schema::information_schema::{InformationTable, Predicates};
+use crate::system_schema::information_schema::{InformationTable, Predicates, TABLES};
 use crate::system_schema::utils;
 use crate::CatalogManager;

@@ -105,9 +105,21 @@ impl InformationSchemaTables {
            ColumnSchema::new(TABLE_ROWS, ConcreteDataType::uint64_datatype(), true),
            ColumnSchema::new(DATA_FREE, ConcreteDataType::uint64_datatype(), true),
            ColumnSchema::new(AUTO_INCREMENT, ConcreteDataType::uint64_datatype(), true),
-            ColumnSchema::new(CREATE_TIME, ConcreteDataType::datetime_datatype(), true),
-            ColumnSchema::new(UPDATE_TIME, ConcreteDataType::datetime_datatype(), true),
-            ColumnSchema::new(CHECK_TIME, ConcreteDataType::datetime_datatype(), true),
+            ColumnSchema::new(
+                CREATE_TIME,
+                ConcreteDataType::timestamp_microsecond_datatype(),
+                true,
+            ),
+            ColumnSchema::new(
+                UPDATE_TIME,
+                ConcreteDataType::timestamp_microsecond_datatype(),
+                true,
+            ),
+            ColumnSchema::new(
+                CHECK_TIME,
+                ConcreteDataType::timestamp_microsecond_datatype(),
+                true,
+            ),
            ColumnSchema::new(TABLE_COLLATION, ConcreteDataType::string_datatype(), true),
            ColumnSchema::new(CHECKSUM, ConcreteDataType::uint64_datatype(), true),
            ColumnSchema::new(CREATE_OPTIONS, ConcreteDataType::string_datatype(), true),
@@ -182,9 +194,9 @@ struct InformationSchemaTablesBuilder {
    max_index_length: UInt64VectorBuilder,
    data_free: UInt64VectorBuilder,
    auto_increment: UInt64VectorBuilder,
-    create_time: DateTimeVectorBuilder,
-    update_time: DateTimeVectorBuilder,
-    check_time: DateTimeVectorBuilder,
+    create_time: TimestampMicrosecondVectorBuilder,
+    update_time: TimestampMicrosecondVectorBuilder,
+    check_time: TimestampMicrosecondVectorBuilder,
    table_collation: StringVectorBuilder,
    checksum: UInt64VectorBuilder,
    create_options: StringVectorBuilder,
@@ -219,9 +231,9 @@ impl InformationSchemaTablesBuilder {
            max_index_length: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
            data_free: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
            auto_increment: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
-            create_time: DateTimeVectorBuilder::with_capacity(INIT_CAPACITY),
-            update_time: DateTimeVectorBuilder::with_capacity(INIT_CAPACITY),
-            check_time: DateTimeVectorBuilder::with_capacity(INIT_CAPACITY),
+            create_time: TimestampMicrosecondVectorBuilder::with_capacity(INIT_CAPACITY),
+            update_time: TimestampMicrosecondVectorBuilder::with_capacity(INIT_CAPACITY),
+            check_time: TimestampMicrosecondVectorBuilder::with_capacity(INIT_CAPACITY),
            table_collation: StringVectorBuilder::with_capacity(INIT_CAPACITY),
            checksum: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
            create_options: StringVectorBuilder::with_capacity(INIT_CAPACITY),
--- a/src/catalog/src/system_schema/information_schema/views.rs
+++ b/src/catalog/src/system_schema/information_schema/views.rs
@@ -32,13 +32,12 @@ use snafu::{OptionExt, ResultExt};
 use store_api::storage::{ScanRequest, TableId};
 use table::metadata::TableType;

-use super::VIEWS;
 use crate::error::{
    CastManagerSnafu, CreateRecordBatchSnafu, GetViewCacheSnafu, InternalSnafu, Result,
    UpgradeWeakCatalogManagerRefSnafu, ViewInfoNotFoundSnafu,
 };
 use crate::kvbackend::KvBackendCatalogManager;
-use crate::system_schema::information_schema::{InformationTable, Predicates};
+use crate::system_schema::information_schema::{InformationTable, Predicates, VIEWS};
 use crate::CatalogManager;
 const INIT_CAPACITY: usize = 42;

--- a/src/catalog/src/system_schema/memory_table.rs
+++ b/src/catalog/src/system_schema/memory_table.rs
@@ -29,8 +29,8 @@ use datatypes::vectors::VectorRef;
 use snafu::ResultExt;
 use store_api::storage::{ScanRequest, TableId};

-use super::SystemTable;
 use crate::error::{CreateRecordBatchSnafu, InternalSnafu, Result};
+use crate::system_schema::SystemTable;

 /// A memory table with specified schema and columns.
 #[derive(Debug)]
--- a/src/catalog/src/system_schema/pg_catalog.rs
+++ b/src/catalog/src/system_schema/pg_catalog.rs
@@ -34,9 +34,9 @@ use table::TableRef;
 pub use table_names::*;

 use self::pg_namespace::oid_map::{PGNamespaceOidMap, PGNamespaceOidMapRef};
-use super::memory_table::MemoryTable;
-use super::utils::tables::u32_column;
-use super::{SystemSchemaProvider, SystemSchemaProviderInner, SystemTableRef};
+use crate::system_schema::memory_table::MemoryTable;
+use crate::system_schema::utils::tables::u32_column;
+use crate::system_schema::{SystemSchemaProvider, SystemSchemaProviderInner, SystemTableRef};
 use crate::CatalogManager;

 lazy_static! {
--- a/src/catalog/src/system_schema/pg_catalog/pg_catalog_memory_table.rs
+++ b/src/catalog/src/system_schema/pg_catalog/pg_catalog_memory_table.rs
@@ -17,9 +17,9 @@ use std::sync::Arc;
 use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
 use datatypes::vectors::{Int16Vector, StringVector, UInt32Vector, VectorRef};

-use super::oid_column;
-use super::table_names::PG_TYPE;
 use crate::memory_table_cols;
+use crate::system_schema::pg_catalog::oid_column;
+use crate::system_schema::pg_catalog::table_names::PG_TYPE;
 use crate::system_schema::utils::tables::{i16_column, string_column};

 fn pg_type_schema_columns() -> (Vec<ColumnSchema>, Vec<VectorRef>) {
--- a/src/catalog/src/system_schema/pg_catalog/pg_class.rs
+++ b/src/catalog/src/system_schema/pg_catalog/pg_class.rs
@@ -32,12 +32,12 @@ use snafu::{OptionExt, ResultExt};
 use store_api::storage::ScanRequest;
 use table::metadata::TableType;

-use super::pg_namespace::oid_map::PGNamespaceOidMapRef;
-use super::{query_ctx, OID_COLUMN_NAME, PG_CLASS};
 use crate::error::{
    CreateRecordBatchSnafu, InternalSnafu, Result, UpgradeWeakCatalogManagerRefSnafu,
 };
 use crate::information_schema::Predicates;
+use crate::system_schema::pg_catalog::pg_namespace::oid_map::PGNamespaceOidMapRef;
+use crate::system_schema::pg_catalog::{query_ctx, OID_COLUMN_NAME, PG_CLASS};
 use crate::system_schema::utils::tables::{string_column, u32_column};
 use crate::system_schema::SystemTable;
 use crate::CatalogManager;
--- a/src/catalog/src/system_schema/pg_catalog/pg_database.rs
+++ b/src/catalog/src/system_schema/pg_catalog/pg_database.rs
@@ -29,12 +29,12 @@ use datatypes::vectors::{StringVectorBuilder, UInt32VectorBuilder, VectorRef};
 use snafu::{OptionExt, ResultExt};
 use store_api::storage::ScanRequest;

-use super::pg_namespace::oid_map::PGNamespaceOidMapRef;
-use super::{query_ctx, OID_COLUMN_NAME, PG_DATABASE};
 use crate::error::{
    CreateRecordBatchSnafu, InternalSnafu, Result, UpgradeWeakCatalogManagerRefSnafu,
 };
 use crate::information_schema::Predicates;
+use crate::system_schema::pg_catalog::pg_namespace::oid_map::PGNamespaceOidMapRef;
+use crate::system_schema::pg_catalog::{query_ctx, OID_COLUMN_NAME, PG_DATABASE};
 use crate::system_schema::utils::tables::{string_column, u32_column};
 use crate::system_schema::SystemTable;
 use crate::CatalogManager;
--- a/src/catalog/src/system_schema/pg_catalog/pg_namespace.rs
+++ b/src/catalog/src/system_schema/pg_catalog/pg_namespace.rs
@@ -35,11 +35,13 @@ use datatypes::vectors::{StringVectorBuilder, UInt32VectorBuilder, VectorRef};
 use snafu::{OptionExt, ResultExt};
 use store_api::storage::ScanRequest;

-use super::{query_ctx, PGNamespaceOidMapRef, OID_COLUMN_NAME, PG_NAMESPACE};
 use crate::error::{
    CreateRecordBatchSnafu, InternalSnafu, Result, UpgradeWeakCatalogManagerRefSnafu,
 };
 use crate::information_schema::Predicates;
+use crate::system_schema::pg_catalog::{
+    query_ctx, PGNamespaceOidMapRef, OID_COLUMN_NAME, PG_NAMESPACE,
+};
 use crate::system_schema::utils::tables::{string_column, u32_column};
 use crate::system_schema::SystemTable;
 use crate::CatalogManager;
--- a/src/catalog/src/system_schema/predicate.rs
+++ b/src/catalog/src/system_schema/predicate.rs
@@ -437,10 +437,7 @@ mod tests {
    }

    fn column(name: &str) -> Expr {
-        Expr::Column(Column {
-            relation: None,
-            name: name.to_string(),
-        })
+        Expr::Column(Column::from_name(name))
    }

    fn string_literal(v: &str) -> Expr {
--- a/src/catalog/src/system_schema/utils/tables.rs
+++ b/src/catalog/src/system_schema/utils/tables.rs
@@ -51,10 +51,10 @@ pub fn bigint_column(name: &str) -> ColumnSchema {
    )
 }

-pub fn datetime_column(name: &str) -> ColumnSchema {
+pub fn timestamp_micro_column(name: &str) -> ColumnSchema {
    ColumnSchema::new(
        str::to_lowercase(name),
-        ConcreteDataType::datetime_datatype(),
+        ConcreteDataType::timestamp_microsecond_datatype(),
        false,
    )
 }
--- a/src/catalog/src/table_source.rs
+++ b/src/catalog/src/table_source.rs
@@ -27,7 +27,7 @@ use session::context::QueryContextRef;
 use snafu::{ensure, OptionExt, ResultExt};
 use table::metadata::TableType;
 use table::table::adapter::DfTableProviderAdapter;
-mod dummy_catalog;
+pub mod dummy_catalog;
 use dummy_catalog::DummyCatalogList;
 use table::TableRef;

--- a/src/cli/Cargo.toml
+++ b/src/cli/Cargo.toml
@@ -6,6 +6,7 @@ license.workspace = true

 [features]
 pg_kvbackend = ["common-meta/pg_kvbackend"]
+mysql_kvbackend = ["common-meta/mysql_kvbackend"]

 [lints]
 workspace = true
@@ -43,6 +44,10 @@ futures.workspace = true
 humantime.workspace = true
 meta-client.workspace = true
 nu-ansi-term = "0.46"
+opendal = { version = "0.51.1", features = [
+    "services-fs",
+    "services-s3",
+] }
 query.workspace = true
 rand.workspace = true
 reqwest.workspace = true
--- a/src/cli/src/bench.rs
+++ b/src/cli/src/bench.rs
@@ -23,6 +23,8 @@ use common_error::ext::BoxedError;
 use common_meta::key::{TableMetadataManager, TableMetadataManagerRef};
 use common_meta::kv_backend::etcd::EtcdStore;
 use common_meta::kv_backend::memory::MemoryKvBackend;
+#[cfg(feature = "mysql_kvbackend")]
+use common_meta::kv_backend::rds::MySqlStore;
 #[cfg(feature = "pg_kvbackend")]
 use common_meta::kv_backend::rds::PgStore;
 use common_meta::peer::Peer;
@@ -63,6 +65,9 @@ pub struct BenchTableMetadataCommand {
    #[cfg(feature = "pg_kvbackend")]
    #[clap(long)]
    postgres_addr: Option<String>,
+    #[cfg(feature = "mysql_kvbackend")]
+    #[clap(long)]
+    mysql_addr: Option<String>,
    #[clap(long)]
    count: u32,
 }
@@ -86,6 +91,16 @@ impl BenchTableMetadataCommand {
            kv_backend
        };

+        #[cfg(feature = "mysql_kvbackend")]
+        let kv_backend = if let Some(mysql_addr) = &self.mysql_addr {
+            info!("Using mysql as kv backend");
+            MySqlStore::with_url(mysql_addr, "greptime_metakv", 128)
+                .await
+                .unwrap()
+        } else {
+            kv_backend
+        };
+
        let table_metadata_manager = Arc::new(TableMetadataManager::new(kv_backend));

        let tool = BenchTableMetadata {
@@ -162,7 +177,7 @@ fn create_table_info(table_id: TableId, table_name: TableName) -> RawTableInfo {

 fn create_region_routes(regions: Vec<RegionNumber>) -> Vec<RegionRoute> {
    let mut region_routes = Vec::with_capacity(100);
-    let mut rng = rand::thread_rng();
+    let mut rng = rand::rng();

    for region_id in regions.into_iter().map(u64::from) {
        region_routes.push(RegionRoute {
@@ -173,7 +188,7 @@ fn create_region_routes(regions: Vec<RegionNumber>) -> Vec<RegionRoute> {
                attrs: BTreeMap::new(),
            },
            leader_peer: Some(Peer {
-                id: rng.gen_range(0..10),
+                id: rng.random_range(0..10),
                addr: String::new(),
            }),
            follower_peers: vec![],
--- a/src/cli/src/error.rs
+++ b/src/cli/src/error.rs
@@ -17,7 +17,6 @@ use std::any::Any;
 use common_error::ext::{BoxedError, ErrorExt};
 use common_error::status_code::StatusCode;
 use common_macro::stack_trace_debug;
-use rustyline::error::ReadlineError;
 use snafu::{Location, Snafu};

 #[derive(Snafu)]
@@ -105,52 +104,6 @@ pub enum Error {
    #[snafu(display("Invalid REPL command: {reason}"))]
    InvalidReplCommand { reason: String },

-    #[snafu(display("Cannot create REPL"))]
-    ReplCreation {
-        #[snafu(source)]
-        error: ReadlineError,
-        #[snafu(implicit)]
-        location: Location,
-    },
-
-    #[snafu(display("Error reading command"))]
-    Readline {
-        #[snafu(source)]
-        error: ReadlineError,
-        #[snafu(implicit)]
-        location: Location,
-    },
-
-    #[snafu(display("Failed to request database, sql: {sql}"))]
-    RequestDatabase {
-        sql: String,
-        #[snafu(source)]
-        source: client::Error,
-        #[snafu(implicit)]
-        location: Location,
-    },
-
-    #[snafu(display("Failed to collect RecordBatches"))]
-    CollectRecordBatches {
-        #[snafu(implicit)]
-        location: Location,
-        source: common_recordbatch::error::Error,
-    },
-
-    #[snafu(display("Failed to pretty print Recordbatches"))]
-    PrettyPrintRecordBatches {
-        #[snafu(implicit)]
-        location: Location,
-        source: common_recordbatch::error::Error,
-    },
-
-    #[snafu(display("Failed to start Meta client"))]
-    StartMetaClient {
-        #[snafu(implicit)]
-        location: Location,
-        source: meta_client::error::Error,
-    },
-
    #[snafu(display("Failed to parse SQL: {}", sql))]
    ParseSql {
        sql: String,
@@ -166,13 +119,6 @@ pub enum Error {
        source: query::error::Error,
    },

-    #[snafu(display("Failed to encode logical plan in substrait"))]
-    SubstraitEncodeLogicalPlan {
-        #[snafu(implicit)]
-        location: Location,
-        source: substrait::error::Error,
-    },
-
    #[snafu(display("Failed to load layered config"))]
    LoadLayeredConfig {
        #[snafu(source(from(common_config::error::Error, Box::new)))]
@@ -276,6 +222,24 @@ pub enum Error {
        #[snafu(implicit)]
        location: Location,
    },
+
+    #[snafu(display("OpenDAL operator failed"))]
+    OpenDal {
+        #[snafu(implicit)]
+        location: Location,
+        #[snafu(source)]
+        error: opendal::Error,
+    },
+    #[snafu(display("S3 config need be set"))]
+    S3ConfigNotSet {
+        #[snafu(implicit)]
+        location: Location,
+    },
+    #[snafu(display("Output directory not set"))]
+    OutputDirNotSet {
+        #[snafu(implicit)]
+        location: Location,
+    },
 }

 pub type Result<T> = std::result::Result<T, Error>;
@@ -300,17 +264,10 @@ impl ErrorExt for Error {
            Error::StartProcedureManager { source, .. }
            | Error::StopProcedureManager { source, .. } => source.status_code(),
            Error::StartWalOptionsAllocator { source, .. } => source.status_code(),
-            Error::ReplCreation { .. } | Error::Readline { .. } | Error::HttpQuerySql { .. } => {
-                StatusCode::Internal
-            }
-            Error::RequestDatabase { source, .. } => source.status_code(),
-            Error::CollectRecordBatches { source, .. }
-            | Error::PrettyPrintRecordBatches { source, .. } => source.status_code(),
-            Error::StartMetaClient { source, .. } => source.status_code(),
+            Error::HttpQuerySql { .. } => StatusCode::Internal,
            Error::ParseSql { source, .. } | Error::PlanStatement { source, .. } => {
                source.status_code()
            }
-            Error::SubstraitEncodeLogicalPlan { source, .. } => source.status_code(),

            Error::SerdeJson { .. }
            | Error::FileIo { .. }
@@ -319,6 +276,9 @@ 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::BuildRuntime { source, .. } => source.status_code(),

--- a/Show More
+++ b/Show More