Merge branch 'main' into feature/df-binary-operator-nested-data

This commit is contained in:
Ning Sun
2025-12-02 14:58:46 +08:00
committed by GitHub
705 changed files with 46733 additions and 10255 deletions

22
.github/CODEOWNERS vendored
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@@ -5,23 +5,23 @@
* @GreptimeTeam/db-approver
## [Module] Database Engine
/src/index @zhongzc
/src/index @evenyag @discord9 @WenyXu
/src/mito2 @evenyag @v0y4g3r @waynexia
/src/query @evenyag
/src/query @evenyag @waynexia @discord9
## [Module] Distributed
/src/common/meta @MichaelScofield
/src/common/procedure @MichaelScofield
/src/meta-client @MichaelScofield
/src/meta-srv @MichaelScofield
/src/common/meta @MichaelScofield @WenyXu
/src/common/procedure @MichaelScofield @WenyXu
/src/meta-client @MichaelScofield @WenyXu
/src/meta-srv @MichaelScofield @WenyXu
## [Module] Write Ahead Log
/src/log-store @v0y4g3r
/src/store-api @v0y4g3r
/src/log-store @v0y4g3r @WenyXu
/src/store-api @v0y4g3r @evenyag
## [Module] Metrics Engine
/src/metric-engine @waynexia
/src/promql @waynexia
/src/metric-engine @waynexia @WenyXu
/src/promql @waynexia @evenyag @discord9
## [Module] Flow
/src/flow @zhongzc @waynexia
/src/flow @discord9 @waynexia

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@@ -32,9 +32,23 @@ inputs:
description: Image Registry
required: false
default: 'docker.io'
large-page-size:
description: Build GreptimeDB with large page size (65536).
required: false
default: 'false'
runs:
using: composite
steps:
- name: Set extra build environment variables
shell: bash
run: |
if [[ '${{ inputs.large-page-size }}' == 'true' ]]; then
echo 'EXTRA_BUILD_ENVS="JEMALLOC_SYS_WITH_LG_PAGE=16"' >> $GITHUB_ENV
else
echo 'EXTRA_BUILD_ENVS=' >> $GITHUB_ENV
fi
- name: Build greptime binary
shell: bash
if: ${{ inputs.build-android-artifacts == 'false' }}
@@ -45,7 +59,8 @@ runs:
FEATURES=${{ inputs.features }} \
BASE_IMAGE=${{ inputs.base-image }} \
IMAGE_NAMESPACE=${{ inputs.image-namespace }} \
IMAGE_REGISTRY=${{ inputs.image-registry }}
IMAGE_REGISTRY=${{ inputs.image-registry }} \
EXTRA_BUILD_ENVS=$EXTRA_BUILD_ENVS
- name: Upload artifacts
uses: ./.github/actions/upload-artifacts

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@@ -27,6 +27,10 @@ inputs:
description: Working directory to build the artifacts
required: false
default: .
large-page-size:
description: Build GreptimeDB with large page size (65536).
required: false
default: 'false'
runs:
using: composite
steps:
@@ -59,6 +63,7 @@ runs:
working-dir: ${{ inputs.working-dir }}
image-registry: ${{ inputs.image-registry }}
image-namespace: ${{ inputs.image-namespace }}
large-page-size: ${{ inputs.large-page-size }}
- name: Clean up the target directory # Clean up the target directory for the centos7 base image, or it will still use the objects of last build.
shell: bash
@@ -77,6 +82,7 @@ runs:
working-dir: ${{ inputs.working-dir }}
image-registry: ${{ inputs.image-registry }}
image-namespace: ${{ inputs.image-namespace }}
large-page-size: ${{ inputs.large-page-size }}
- name: Build greptime on android base image
uses: ./.github/actions/build-greptime-binary
@@ -89,3 +95,4 @@ runs:
build-android-artifacts: true
image-registry: ${{ inputs.image-registry }}
image-namespace: ${{ inputs.image-namespace }}
large-page-size: ${{ inputs.large-page-size }}

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@@ -7,6 +7,8 @@ KUBERNETES_VERSION="${KUBERNETES_VERSION:-v1.32.0}"
ENABLE_STANDALONE_MODE="${ENABLE_STANDALONE_MODE:-true}"
DEFAULT_INSTALL_NAMESPACE=${DEFAULT_INSTALL_NAMESPACE:-default}
GREPTIMEDB_IMAGE_TAG=${GREPTIMEDB_IMAGE_TAG:-latest}
GREPTIMEDB_OPERATOR_IMAGE_TAG=${GREPTIMEDB_OPERATOR_IMAGE_TAG:-v0.5.1}
GREPTIMEDB_INITIALIZER_IMAGE_TAG="${GREPTIMEDB_OPERATOR_IMAGE_TAG}"
GREPTIME_CHART="https://greptimeteam.github.io/helm-charts/"
ETCD_CHART="oci://registry-1.docker.io/bitnamicharts/etcd"
ETCD_CHART_VERSION="${ETCD_CHART_VERSION:-12.0.8}"
@@ -58,7 +60,7 @@ function deploy_greptimedb_operator() {
# Use the latest chart and image.
helm upgrade --install greptimedb-operator greptime/greptimedb-operator \
--create-namespace \
--set image.tag=latest \
--set image.tag="$GREPTIMEDB_OPERATOR_IMAGE_TAG" \
-n "$DEFAULT_INSTALL_NAMESPACE"
# Wait for greptimedb-operator to be ready.
@@ -78,6 +80,7 @@ function deploy_greptimedb_cluster() {
helm upgrade --install "$cluster_name" greptime/greptimedb-cluster \
--create-namespace \
--set image.tag="$GREPTIMEDB_IMAGE_TAG" \
--set initializer.tag="$GREPTIMEDB_INITIALIZER_IMAGE_TAG" \
--set meta.backendStorage.etcd.endpoints="etcd.$install_namespace:2379" \
--set meta.backendStorage.etcd.storeKeyPrefix="$cluster_name" \
-n "$install_namespace"
@@ -115,6 +118,7 @@ function deploy_greptimedb_cluster_with_s3_storage() {
helm upgrade --install "$cluster_name" greptime/greptimedb-cluster -n "$install_namespace" \
--create-namespace \
--set image.tag="$GREPTIMEDB_IMAGE_TAG" \
--set initializer.tag="$GREPTIMEDB_INITIALIZER_IMAGE_TAG" \
--set meta.backendStorage.etcd.endpoints="etcd.$install_namespace:2379" \
--set meta.backendStorage.etcd.storeKeyPrefix="$cluster_name" \
--set objectStorage.s3.bucket="$AWS_CI_TEST_BUCKET" \

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@@ -39,8 +39,11 @@ update_helm_charts_version() {
--body "This PR updates the GreptimeDB version." \
--base main \
--head $BRANCH_NAME \
--reviewer zyy17 \
--reviewer daviderli614
--reviewer sunng87 \
--reviewer daviderli614 \
--reviewer killme2008 \
--reviewer evenyag \
--reviewer fengjiachun
}
update_helm_charts_version

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@@ -35,8 +35,11 @@ update_homebrew_greptime_version() {
--body "This PR updates the GreptimeDB version." \
--base main \
--head $BRANCH_NAME \
--reviewer zyy17 \
--reviewer daviderli614
--reviewer sunng87 \
--reviewer daviderli614 \
--reviewer killme2008 \
--reviewer evenyag \
--reviewer fengjiachun
}
update_homebrew_greptime_version

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@@ -4,10 +4,11 @@ name: GreptimeDB Development Build
on:
workflow_dispatch: # Allows you to run this workflow manually.
inputs:
repository:
description: The public repository to build
large-page-size:
description: Build GreptimeDB with large page size (65536).
type: boolean
required: false
default: GreptimeTeam/greptimedb
default: false
commit: # Note: We only pull the source code and use the current workflow to build the artifacts.
description: The commit to build
required: true
@@ -181,6 +182,7 @@ jobs:
working-dir: ${{ env.CHECKOUT_GREPTIMEDB_PATH }}
image-registry: ${{ vars.ECR_IMAGE_REGISTRY }}
image-namespace: ${{ vars.ECR_IMAGE_NAMESPACE }}
large-page-size: ${{ inputs.large-page-size }}
build-linux-arm64-artifacts:
name: Build linux-arm64 artifacts
@@ -214,6 +216,7 @@ jobs:
working-dir: ${{ env.CHECKOUT_GREPTIMEDB_PATH }}
image-registry: ${{ vars.ECR_IMAGE_REGISTRY }}
image-namespace: ${{ vars.ECR_IMAGE_NAMESPACE }}
large-page-size: ${{ inputs.large-page-size }}
release-images-to-dockerhub:
name: Build and push images to DockerHub

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@@ -613,6 +613,9 @@ jobs:
- name: "MySQL Kvbackend"
opts: "--setup-mysql"
kafka: false
- name: "Flat format"
opts: "--enable-flat-format"
kafka: false
timeout-minutes: 60
steps:
- uses: actions/checkout@v4

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@@ -92,5 +92,6 @@ jobs:
mode:
- name: "Basic"
- name: "Remote WAL"
- name: "Flat format"
steps:
- run: 'echo "No action required"'

57
.github/workflows/multi-lang-tests.yml vendored Normal file
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@@ -0,0 +1,57 @@
name: Multi-language Integration Tests
on:
push:
branches:
- main
workflow_dispatch:
concurrency:
group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
cancel-in-progress: true
jobs:
build-greptimedb:
if: ${{ github.repository == 'GreptimeTeam/greptimedb' }}
name: Build GreptimeDB binary
runs-on: ubuntu-latest
timeout-minutes: 60
steps:
- uses: actions/checkout@v4
with:
persist-credentials: false
- uses: arduino/setup-protoc@v3
with:
repo-token: ${{ secrets.GITHUB_TOKEN }}
- uses: actions-rust-lang/setup-rust-toolchain@v1
- uses: Swatinem/rust-cache@v2
with:
shared-key: "multi-lang-build"
cache-all-crates: "true"
save-if: ${{ github.ref == 'refs/heads/main' }}
- name: Install cargo-gc-bin
shell: bash
run: cargo install cargo-gc-bin --force
- name: Build greptime binary
shell: bash
run: cargo gc -- --bin greptime --features "pg_kvbackend,mysql_kvbackend"
- name: Pack greptime binary
shell: bash
run: |
mkdir bin && \
mv ./target/debug/greptime bin
- name: Print greptime binary info
run: ls -lh bin
- name: Upload greptime binary
uses: actions/upload-artifact@v4
with:
name: greptime-bin
path: bin/
retention-days: 1
run-multi-lang-tests:
name: Run Multi-language SDK Tests
needs: build-greptimedb
uses: ./.github/workflows/run-multi-lang-tests.yml
with:
artifact-name: greptime-bin

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@@ -174,6 +174,18 @@ jobs:
image-registry: ${{ vars.ECR_IMAGE_REGISTRY }}
image-namespace: ${{ vars.ECR_IMAGE_NAMESPACE }}
run-multi-lang-tests:
name: Run Multi-language SDK Tests
if: ${{ inputs.build_linux_amd64_artifacts || github.event_name == 'schedule' }}
needs: [
allocate-runners,
build-linux-amd64-artifacts,
]
uses: ./.github/workflows/run-multi-lang-tests.yml
with:
artifact-name: greptime-linux-amd64-${{ needs.allocate-runners.outputs.version }}
artifact-is-tarball: true
release-images-to-dockerhub:
name: Build and push images to DockerHub
if: ${{ inputs.release_images || github.event_name == 'schedule' }}
@@ -301,7 +313,8 @@ jobs:
if: ${{ github.repository == 'GreptimeTeam/greptimedb' && always() }} # Not requiring successful dependent jobs, always run.
name: Send notification to Greptime team
needs: [
release-images-to-dockerhub
release-images-to-dockerhub,
run-multi-lang-tests,
]
runs-on: ubuntu-latest
permissions:
@@ -319,17 +332,17 @@ jobs:
run: pnpm tsx bin/report-ci-failure.ts
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
CI_REPORT_STATUS: ${{ needs.release-images-to-dockerhub.outputs.nightly-build-result == 'success' }}
CI_REPORT_STATUS: ${{ needs.release-images-to-dockerhub.outputs.nightly-build-result == 'success' && (needs.run-multi-lang-tests.result == 'success' || needs.run-multi-lang-tests.result == 'skipped') }}
- name: Notify nightly build successful result
uses: slackapi/slack-github-action@v1.23.0
if: ${{ needs.release-images-to-dockerhub.outputs.nightly-build-result == 'success' }}
if: ${{ needs.release-images-to-dockerhub.outputs.nightly-build-result == 'success' && (needs.run-multi-lang-tests.result == 'success' || needs.run-multi-lang-tests.result == 'skipped') }}
with:
payload: |
{"text": "GreptimeDB's ${{ env.NEXT_RELEASE_VERSION }} build has completed successfully."}
- name: Notify nightly build failed result
uses: slackapi/slack-github-action@v1.23.0
if: ${{ needs.release-images-to-dockerhub.outputs.nightly-build-result != 'success' }}
if: ${{ needs.release-images-to-dockerhub.outputs.nightly-build-result != 'success' || needs.run-multi-lang-tests.result == 'failure' }}
with:
payload: |
{"text": "GreptimeDB's ${{ env.NEXT_RELEASE_VERSION }} build has failed, please check ${{ steps.report-ci-status.outputs.html_url }}."}

View File

@@ -215,6 +215,18 @@ jobs:
image-registry: ${{ vars.ECR_IMAGE_REGISTRY }}
image-namespace: ${{ vars.ECR_IMAGE_NAMESPACE }}
run-multi-lang-tests:
name: Run Multi-language SDK Tests
if: ${{ inputs.build_linux_amd64_artifacts || github.event_name == 'push' || github.event_name == 'schedule' }}
needs: [
allocate-runners,
build-linux-amd64-artifacts,
]
uses: ./.github/workflows/run-multi-lang-tests.yml
with:
artifact-name: greptime-linux-amd64-${{ needs.allocate-runners.outputs.version }}
artifact-is-tarball: true
build-macos-artifacts:
name: Build macOS artifacts
strategy:
@@ -303,6 +315,7 @@ jobs:
allocate-runners,
build-linux-amd64-artifacts,
build-linux-arm64-artifacts,
run-multi-lang-tests,
]
runs-on: ubuntu-latest
outputs:
@@ -381,6 +394,7 @@ jobs:
build-macos-artifacts,
build-windows-artifacts,
release-images-to-dockerhub,
run-multi-lang-tests,
]
runs-on: ubuntu-latest
steps:

View File

@@ -0,0 +1,194 @@
# Reusable workflow for running multi-language SDK tests against GreptimeDB
# Used by: multi-lang-tests.yml, release.yml, nightly-build.yml
# Supports both direct binary artifacts and tarball artifacts
name: Run Multi-language SDK Tests
on:
workflow_call:
inputs:
artifact-name:
required: true
type: string
description: 'Name of the artifact containing greptime binary'
http-port:
required: false
type: string
default: '4000'
description: 'HTTP server port'
mysql-port:
required: false
type: string
default: '4002'
description: 'MySQL server port'
postgres-port:
required: false
type: string
default: '4003'
description: 'PostgreSQL server port'
db-name:
required: false
type: string
default: 'test_db'
description: 'Test database name'
username:
required: false
type: string
default: 'greptime_user'
description: 'Authentication username'
password:
required: false
type: string
default: 'greptime_pwd'
description: 'Authentication password'
timeout-minutes:
required: false
type: number
default: 30
description: 'Job timeout in minutes'
artifact-is-tarball:
required: false
type: boolean
default: false
description: 'Whether the artifact is a tarball (tar.gz) that needs to be extracted'
jobs:
run-tests:
name: Run Multi-language SDK Tests
runs-on: ubuntu-latest
timeout-minutes: ${{ inputs.timeout-minutes }}
steps:
- name: Checkout greptimedb-tests repository
uses: actions/checkout@v4
with:
repository: GreptimeTeam/greptimedb-tests
persist-credentials: false
- name: Download pre-built greptime binary
uses: actions/download-artifact@v4
with:
name: ${{ inputs.artifact-name }}
path: artifact
- name: Setup greptime binary
run: |
mkdir -p bin
if [ "${{ inputs.artifact-is-tarball }}" = "true" ]; then
# Extract tarball and find greptime binary
tar -xzf artifact/*.tar.gz -C artifact
find artifact -name "greptime" -type f -exec cp {} bin/greptime \;
else
# Direct binary format
if [ -f artifact/greptime ]; then
cp artifact/greptime bin/greptime
else
cp artifact/* bin/greptime
fi
fi
chmod +x ./bin/greptime
ls -lh ./bin/greptime
./bin/greptime --version
- name: Setup Java 17
uses: actions/setup-java@v4
with:
distribution: 'temurin'
java-version: '17'
cache: 'maven'
- name: Setup Python 3.8
uses: actions/setup-python@v5
with:
python-version: '3.8'
- name: Setup Go 1.24
uses: actions/setup-go@v5
with:
go-version: '1.24'
cache: true
cache-dependency-path: go-tests/go.sum
- name: Set up Node.js
uses: actions/setup-node@v4
with:
node-version: '18'
- name: Install Python dependencies
run: |
pip install mysql-connector-python psycopg2-binary
python3 -c "import mysql.connector; print(f'mysql-connector-python {mysql.connector.__version__}')"
python3 -c "import psycopg2; print(f'psycopg2 {psycopg2.__version__}')"
- name: Install Go dependencies
working-directory: go-tests
run: |
go mod download
go mod verify
go version
- name: Kill existing GreptimeDB processes
run: |
pkill -f greptime || true
sleep 2
- name: Start GreptimeDB standalone
run: |
./bin/greptime standalone start \
--http-addr 0.0.0.0:${{ inputs.http-port }} \
--rpc-addr 0.0.0.0:4001 \
--mysql-addr 0.0.0.0:${{ inputs.mysql-port }} \
--postgres-addr 0.0.0.0:${{ inputs.postgres-port }} \
--user-provider=static_user_provider:cmd:${{ inputs.username }}=${{ inputs.password }} > /tmp/greptimedb.log 2>&1 &
- name: Wait for GreptimeDB to be ready
run: |
echo "Waiting for GreptimeDB..."
for i in {1..60}; do
if curl -sf http://localhost:${{ inputs.http-port }}/health > /dev/null; then
echo "✅ GreptimeDB is ready"
exit 0
fi
sleep 2
done
echo "❌ GreptimeDB failed to start"
cat /tmp/greptimedb.log
exit 1
- name: Run multi-language tests
env:
DB_NAME: ${{ inputs.db-name }}
MYSQL_HOST: 127.0.0.1
MYSQL_PORT: ${{ inputs.mysql-port }}
POSTGRES_HOST: 127.0.0.1
POSTGRES_PORT: ${{ inputs.postgres-port }}
HTTP_HOST: 127.0.0.1
HTTP_PORT: ${{ inputs.http-port }}
GREPTIME_USERNAME: ${{ inputs.username }}
GREPTIME_PASSWORD: ${{ inputs.password }}
run: |
chmod +x ./run_tests.sh
./run_tests.sh
- name: Collect logs on failure
if: failure()
run: |
echo "=== GreptimeDB Logs ==="
cat /tmp/greptimedb.log || true
- name: Upload test logs on failure
if: failure()
uses: actions/upload-artifact@v4
with:
name: test-logs
path: |
/tmp/greptimedb.log
java-tests/target/surefire-reports/
python-tests/.pytest_cache/
go-tests/*.log
**/test-output/
retention-days: 7
- name: Cleanup
if: always()
run: |
pkill -f greptime || true

331
Cargo.lock generated

File diff suppressed because it is too large Load Diff

View File

@@ -74,7 +74,7 @@ members = [
resolver = "2"
[workspace.package]
version = "0.18.0"
version = "1.0.0-beta.2"
edition = "2024"
license = "Apache-2.0"
@@ -118,9 +118,10 @@ bitflags = "2.4.1"
bytemuck = "1.12"
bytes = { version = "1.7", features = ["serde"] }
chrono = { version = "0.4", features = ["serde"] }
chrono-tz = "0.10.1"
chrono-tz = { version = "0.10.1", features = ["case-insensitive"] }
clap = { version = "4.4", features = ["derive"] }
config = "0.13.0"
const_format = "0.2"
crossbeam-utils = "0.8"
dashmap = "6.1"
datafusion = "50"
@@ -130,7 +131,7 @@ datafusion-functions = "50"
datafusion-functions-aggregate-common = "50"
datafusion-optimizer = "50"
datafusion-orc = "0.5"
datafusion-pg-catalog = "0.11"
datafusion-pg-catalog = "0.12.2"
datafusion-physical-expr = "50"
datafusion-physical-plan = "50"
datafusion-sql = "50"
@@ -147,7 +148,7 @@ etcd-client = { git = "https://github.com/GreptimeTeam/etcd-client", rev = "f62d
fst = "0.4.7"
futures = "0.3"
futures-util = "0.3"
greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "72a0d22e0f5f716b2ee21bca091f87a88c36e5ca" }
greptime-proto = { git = "https://github.com/GreptimeTeam/greptime-proto.git", rev = "0df99f09f1d6785055b2d9da96fc4ecc2bdf6803" }
hex = "0.4"
http = "1"
humantime = "2.1"
@@ -191,7 +192,7 @@ prost-types = "0.13"
raft-engine = { version = "0.4.1", default-features = false }
rand = "0.9"
ratelimit = "0.10"
regex = "1.8"
regex = "1.12"
regex-automata = "0.4"
reqwest = { version = "0.12", default-features = false, features = [
"json",
@@ -218,12 +219,7 @@ similar-asserts = "1.6.0"
smallvec = { version = "1", features = ["serde"] }
snafu = "0.8"
sqlparser = { version = "0.58.0", default-features = false, features = ["std", "visitor", "serde"] }
sqlx = { version = "0.8", features = [
"runtime-tokio-rustls",
"mysql",
"postgres",
"chrono",
] }
sqlx = { version = "0.8", default-features = false, features = ["any", "macros", "json", "runtime-tokio-rustls"] }
strum = { version = "0.27", features = ["derive"] }
sysinfo = "0.33"
tempfile = "3"
@@ -238,6 +234,7 @@ tower = "0.5"
tower-http = "0.6"
tracing = "0.1"
tracing-appender = "0.2"
tracing-opentelemetry = "0.31.0"
tracing-subscriber = { version = "0.3", features = ["env-filter", "json", "fmt"] }
typetag = "0.2"
uuid = { version = "1.17", features = ["serde", "v4", "fast-rng"] }

View File

@@ -17,6 +17,8 @@ CARGO_REGISTRY_CACHE ?= ${HOME}/.cargo/registry
ARCH := $(shell uname -m | sed 's/x86_64/amd64/' | sed 's/aarch64/arm64/')
OUTPUT_DIR := $(shell if [ "$(RELEASE)" = "true" ]; then echo "release"; elif [ ! -z "$(CARGO_PROFILE)" ]; then echo "$(CARGO_PROFILE)" ; else echo "debug"; fi)
SQLNESS_OPTS ?=
EXTRA_BUILD_ENVS ?=
ASSEMBLED_EXTRA_BUILD_ENV := $(foreach var,$(EXTRA_BUILD_ENVS),-e $(var))
# The arguments for running integration tests.
ETCD_VERSION ?= v3.5.9
@@ -83,6 +85,7 @@ build: ## Build debug version greptime.
.PHONY: build-by-dev-builder
build-by-dev-builder: ## Build greptime by dev-builder.
docker run --network=host \
${ASSEMBLED_EXTRA_BUILD_ENV} \
-v ${PWD}:/greptimedb -v ${CARGO_REGISTRY_CACHE}:/root/.cargo/registry \
-w /greptimedb ${IMAGE_REGISTRY}/${IMAGE_NAMESPACE}/dev-builder-${BASE_IMAGE}:${DEV_BUILDER_IMAGE_TAG} \
make build \

View File

@@ -12,8 +12,7 @@
<div align="center">
<h3 align="center">
<a href="https://greptime.com/product/cloud">GreptimeCloud</a> |
<a href="https://docs.greptime.com/">User Guide</a> |
<a href="https://docs.greptime.com/user-guide/overview/">User Guide</a> |
<a href="https://greptimedb.rs/">API Docs</a> |
<a href="https://github.com/GreptimeTeam/greptimedb/issues/5446">Roadmap 2025</a>
</h4>
@@ -67,17 +66,24 @@
## Introduction
**GreptimeDB** is an open-source, cloud-native database purpose-built for the unified collection and analysis of observability data (metrics, logs, and traces). Whether youre operating on the edge, in the cloud, or across hybrid environments, GreptimeDB empowers real-time insights at massive scale — all in one system.
**GreptimeDB** is an open-source, cloud-native database that unifies metrics, logs, and traces, enabling real-time observability at any scale — across edge, cloud, and hybrid environments.
## Features
| Feature | Description |
| --------- | ----------- |
| [Unified Observability Data](https://docs.greptime.com/user-guide/concepts/why-greptimedb) | Store metrics, logs, and traces as timestamped, contextual wide events. Query via [SQL](https://docs.greptime.com/user-guide/query-data/sql), [PromQL](https://docs.greptime.com/user-guide/query-data/promql), and [streaming](https://docs.greptime.com/user-guide/flow-computation/overview). |
| [High Performance & Cost Effective](https://docs.greptime.com/user-guide/manage-data/data-index) | Written in Rust, with a distributed query engine, [rich indexing](https://docs.greptime.com/user-guide/manage-data/data-index), and optimized columnar storage, delivering sub-second responses at PB scale. |
| [Cloud-Native Architecture](https://docs.greptime.com/user-guide/concepts/architecture) | Designed for [Kubernetes](https://docs.greptime.com/user-guide/deployments-administration/deploy-on-kubernetes/greptimedb-operator-management), with compute/storage separation, native object storage (AWS S3, Azure Blob, etc.) and seamless cross-cloud access. |
| [Developer-Friendly](https://docs.greptime.com/user-guide/protocols/overview) | Access via SQL/PromQL interfaces, REST API, MySQL/PostgreSQL protocols, and popular ingestion [protocols](https://docs.greptime.com/user-guide/protocols/overview). |
| [Flexible Deployment](https://docs.greptime.com/user-guide/deployments-administration/overview) | Deploy anywhere: edge (including ARM/[Android](https://docs.greptime.com/user-guide/deployments-administration/run-on-android)) or cloud, with unified APIs and efficient data sync. |
| [All-in-One Observability](https://docs.greptime.com/user-guide/concepts/why-greptimedb) | OpenTelemetry-native platform unifying metrics, logs, and traces. Query via [SQL](https://docs.greptime.com/user-guide/query-data/sql), [PromQL](https://docs.greptime.com/user-guide/query-data/promql), and [Flow](https://docs.greptime.com/user-guide/flow-computation/overview). |
| [High Performance](https://docs.greptime.com/user-guide/manage-data/data-index) | Written in Rust with [rich indexing](https://docs.greptime.com/user-guide/manage-data/data-index) (inverted, fulltext, skipping, vector), delivering sub-second responses at PB scale. |
| [Cost Efficiency](https://docs.greptime.com/user-guide/concepts/architecture) | 50x lower operational and storage costs with compute-storage separation and native object storage (S3, Azure Blob, etc.). |
| [Cloud-Native & Scalable](https://docs.greptime.com/user-guide/deployments-administration/deploy-on-kubernetes/greptimedb-operator-management) | Purpose-built for [Kubernetes](https://docs.greptime.com/user-guide/deployments-administration/deploy-on-kubernetes/greptimedb-operator-management) with unlimited cross-cloud scaling, handling hundreds of thousands of concurrent requests. |
| [Developer-Friendly](https://docs.greptime.com/user-guide/protocols/overview) | SQL/PromQL interfaces, built-in web dashboard, REST API, MySQL/PostgreSQL protocol compatibility, and native [OpenTelemetry](https://docs.greptime.com/user-guide/ingest-data/for-observability/opentelemetry/) support. |
| [Flexible Deployment](https://docs.greptime.com/user-guide/deployments-administration/overview) | Deploy anywhere from ARM-based edge devices (including [Android](https://docs.greptime.com/user-guide/deployments-administration/run-on-android)) to cloud, with unified APIs and efficient data sync. |
**Perfect for:**
- Unified observability stack replacing Prometheus + Loki + Tempo
- Large-scale metrics with high cardinality (millions to billions of time series)
- Large-scale observability platform requiring cost efficiency and scalability
- IoT and edge computing with resource and bandwidth constraints
Learn more in [Why GreptimeDB](https://docs.greptime.com/user-guide/concepts/why-greptimedb) and [Observability 2.0 and the Database for It](https://greptime.com/blogs/2025-04-25-greptimedb-observability2-new-database).
@@ -86,10 +92,10 @@ Learn more in [Why GreptimeDB](https://docs.greptime.com/user-guide/concepts/why
| Feature | GreptimeDB | Traditional TSDB | Log Stores |
|----------------------------------|-----------------------|--------------------|-----------------|
| Data Types | Metrics, Logs, Traces | Metrics only | Logs only |
| Query Language | SQL, PromQL, Streaming| Custom/PromQL | Custom/DSL |
| Query Language | SQL, PromQL | Custom/PromQL | Custom/DSL |
| Deployment | Edge + Cloud | Cloud/On-prem | Mostly central |
| Indexing & Performance | PB-Scale, Sub-second | Varies | Varies |
| Integration | REST, SQL, Common protocols | Varies | Varies |
| Integration | REST API, SQL, Common protocols | Varies | Varies |
**Performance:**
* [GreptimeDB tops JSONBench's billion-record cold run test!](https://greptime.com/blogs/2025-03-18-jsonbench-greptimedb-performance)
@@ -99,22 +105,18 @@ Read [more benchmark reports](https://docs.greptime.com/user-guide/concepts/feat
## Architecture
* Read the [architecture](https://docs.greptime.com/contributor-guide/overview/#architecture) document.
* [DeepWiki](https://deepwiki.com/GreptimeTeam/greptimedb/1-overview) provides an in-depth look at GreptimeDB:
GreptimeDB can run in two modes:
* **Standalone Mode** - Single binary for development and small deployments
* **Distributed Mode** - Separate components for production scale:
- Frontend: Query processing and protocol handling
- Datanode: Data storage and retrieval
- Metasrv: Metadata management and coordination
Read the [architecture](https://docs.greptime.com/contributor-guide/overview/#architecture) document. [DeepWiki](https://deepwiki.com/GreptimeTeam/greptimedb/1-overview) provides an in-depth look at GreptimeDB:
<img alt="GreptimeDB System Overview" src="docs/architecture.png">
## Try GreptimeDB
### 1. [Live Demo](https://greptime.com/playground)
Experience GreptimeDB directly in your browser.
### 2. [GreptimeCloud](https://console.greptime.cloud/)
Start instantly with a free cluster.
### 3. Docker (Local Quickstart)
```shell
docker pull greptime/greptimedb
```
@@ -130,7 +132,8 @@ docker run -p 127.0.0.1:4000-4003:4000-4003 \
--postgres-addr 0.0.0.0:4003
```
Dashboard: [http://localhost:4000/dashboard](http://localhost:4000/dashboard)
[Full Install Guide](https://docs.greptime.com/getting-started/installation/overview)
Read more in the [full Install Guide](https://docs.greptime.com/getting-started/installation/overview).
**Troubleshooting:**
* Cannot connect to the database? Ensure that ports `4000`, `4001`, `4002`, and `4003` are not blocked by a firewall or used by other services.
@@ -159,21 +162,26 @@ cargo run -- standalone start
## Tools & Extensions
- **Kubernetes:** [GreptimeDB Operator](https://github.com/GrepTimeTeam/greptimedb-operator)
- **Helm Charts:** [Greptime Helm Charts](https://github.com/GreptimeTeam/helm-charts)
- **Dashboard:** [Web UI](https://github.com/GreptimeTeam/dashboard)
- **SDKs/Ingester:** [Go](https://github.com/GreptimeTeam/greptimedb-ingester-go), [Java](https://github.com/GreptimeTeam/greptimedb-ingester-java), [C++](https://github.com/GreptimeTeam/greptimedb-ingester-cpp), [Erlang](https://github.com/GreptimeTeam/greptimedb-ingester-erl), [Rust](https://github.com/GreptimeTeam/greptimedb-ingester-rust), [JS](https://github.com/GreptimeTeam/greptimedb-ingester-js)
- **Grafana**: [Official Dashboard](https://github.com/GreptimeTeam/greptimedb/blob/main/grafana/README.md)
- **Kubernetes**: [GreptimeDB Operator](https://github.com/GrepTimeTeam/greptimedb-operator)
- **Helm Charts**: [Greptime Helm Charts](https://github.com/GreptimeTeam/helm-charts)
- **Dashboard**: [Web UI](https://github.com/GreptimeTeam/dashboard)
- **gRPC Ingester**: [Go](https://github.com/GreptimeTeam/greptimedb-ingester-go), [Java](https://github.com/GreptimeTeam/greptimedb-ingester-java), [C++](https://github.com/GreptimeTeam/greptimedb-ingester-cpp), [Erlang](https://github.com/GreptimeTeam/greptimedb-ingester-erl), [Rust](https://github.com/GreptimeTeam/greptimedb-ingester-rust)
- **Grafana Data Source**: [GreptimeDB Grafana data source plugin](https://github.com/GreptimeTeam/greptimedb-grafana-datasource)
- **Grafana Dashboard**: [Official Dashboard for monitoring](https://github.com/GreptimeTeam/greptimedb/blob/main/grafana/README.md)
## Project Status
> **Status:** Beta.
> **GA (v1.0):** Targeted for mid 2025.
> **Status:** Beta — marching toward v1.0 GA!
> **GA (v1.0):** January 10, 2026
- Being used in production by early adopters
- Deployed in production by open-source projects and commercial users
- Stable, actively maintained, with regular releases ([version info](https://docs.greptime.com/nightly/reference/about-greptimedb-version))
- Suitable for evaluation and pilot deployments
GreptimeDB v1.0 represents a major milestone toward maturity — marking stable APIs, production readiness, and proven performance.
**Roadmap:** Beta1 (Nov 10) → Beta2 (Nov 24) → RC1 (Dec 8) → GA (Jan 10, 2026), please read [v1.0 highlights and release plan](https://greptime.com/blogs/2025-11-05-greptimedb-v1-highlights) for details.
For production use, we recommend using the latest stable release.
[![Star History Chart](https://api.star-history.com/svg?repos=GreptimeTeam/GreptimeDB&type=Date)](https://www.star-history.com/#GreptimeTeam/GreptimeDB&Date)
@@ -214,5 +222,5 @@ Special thanks to all contributors! See [AUTHORS.md](https://github.com/Greptime
- Uses [Apache Arrow™](https://arrow.apache.org/) (memory model)
- [Apache Parquet™](https://parquet.apache.org/) (file storage)
- [Apache Arrow DataFusion™](https://arrow.apache.org/datafusion/) (query engine)
- [Apache DataFusion™](https://arrow.apache.org/datafusion/) (query engine)
- [Apache OpenDAL™](https://opendal.apache.org/) (data access abstraction)

View File

@@ -13,9 +13,10 @@
| Key | Type | Default | Descriptions |
| --- | -----| ------- | ----------- |
| `default_timezone` | String | Unset | The default timezone of the server. |
| `default_column_prefix` | String | Unset | The default column prefix for auto-created time index and value columns. |
| `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. |
| `max_concurrent_queries` | Integer | `0` | The maximum current queries allowed to be executed. Zero means unlimited. |
| `max_concurrent_queries` | Integer | `0` | The maximum current queries allowed to be executed. Zero means unlimited.<br/>NOTE: This setting affects scan_memory_limit's privileged tier allocation.<br/>When set, 70% of queries get privileged memory access (full scan_memory_limit).<br/>The remaining 30% get standard tier access (70% of scan_memory_limit). |
| `enable_telemetry` | Bool | `true` | Enable telemetry to collect anonymous usage data. Enabled by default. |
| `max_in_flight_write_bytes` | String | Unset | The maximum in-flight write bytes. |
| `runtime` | -- | -- | The runtime options. |
@@ -103,6 +104,7 @@
| `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. |
| `query.memory_pool_size` | String | `50%` | Memory pool size for query execution operators (aggregation, sorting, join).<br/>Supports absolute size (e.g., "2GB", "4GB") or percentage of system memory (e.g., "20%").<br/>Setting it to 0 disables the limit (unbounded, default behavior).<br/>When this limit is reached, queries will fail with ResourceExhausted error.<br/>NOTE: This does NOT limit memory used by table scans. |
| `storage` | -- | -- | The data storage options. |
| `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. |
@@ -150,10 +152,13 @@
| `region_engine.mito.write_cache_path` | String | `""` | File system path for write cache, defaults to `{data_home}`. |
| `region_engine.mito.write_cache_size` | String | `5GiB` | Capacity for write cache. If your disk space is sufficient, it is recommended to set it larger. |
| `region_engine.mito.write_cache_ttl` | String | Unset | TTL for write cache. |
| `region_engine.mito.preload_index_cache` | Bool | `true` | Preload index (puffin) files into cache on region open (default: true).<br/>When enabled, index files are loaded into the write cache during region initialization,<br/>which can improve query performance at the cost of longer startup times. |
| `region_engine.mito.index_cache_percent` | Integer | `20` | Percentage of write cache capacity allocated for index (puffin) files (default: 20).<br/>The remaining capacity is used for data (parquet) files.<br/>Must be between 0 and 100 (exclusive). For example, with a 5GiB write cache and 20% allocation,<br/>1GiB is reserved for index files and 4GiB for data files. |
| `region_engine.mito.sst_write_buffer_size` | String | `8MB` | Buffer size for SST writing. |
| `region_engine.mito.parallel_scan_channel_size` | Integer | `32` | Capacity of the channel to send data from parallel scan tasks to the main task. |
| `region_engine.mito.max_concurrent_scan_files` | Integer | `384` | Maximum number of SST files to scan concurrently. |
| `region_engine.mito.allow_stale_entries` | Bool | `false` | Whether to allow stale WAL entries read during replay. |
| `region_engine.mito.scan_memory_limit` | String | `50%` | Memory limit for table scans across all queries.<br/>Supports absolute size (e.g., "2GB") or percentage of system memory (e.g., "20%").<br/>Setting it to 0 disables the limit.<br/>NOTE: Works with max_concurrent_queries for tiered memory allocation.<br/>- If max_concurrent_queries is set: 70% of queries get full access, 30% get 70% access.<br/>- If max_concurrent_queries is 0 (unlimited): first 20 queries get full access, rest get 70% access. |
| `region_engine.mito.min_compaction_interval` | String | `0m` | Minimum time interval between two compactions.<br/>To align with the old behavior, the default value is 0 (no restrictions). |
| `region_engine.mito.default_experimental_flat_format` | Bool | `false` | Whether to enable experimental flat format as the default format. |
| `region_engine.mito.index` | -- | -- | The options for index in Mito engine. |
@@ -187,7 +192,7 @@
| `region_engine.mito.memtable.fork_dictionary_bytes` | String | `1GiB` | Max dictionary bytes.<br/>Only available for `partition_tree` memtable. |
| `region_engine.file` | -- | -- | Enable the file engine. |
| `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. |
| `region_engine.metric.sparse_primary_key_encoding` | Bool | `true` | Whether to use sparse primary key encoding. |
| `logging` | -- | -- | The logging options. |
| `logging.dir` | String | `./greptimedb_data/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
| `logging.level` | String | Unset | The log level. Can be `info`/`debug`/`warn`/`error`. |
@@ -205,14 +210,6 @@
| `slow_query.record_type` | String | Unset | The record type of slow queries. It can be `system_table` or `log`. |
| `slow_query.threshold` | String | Unset | The threshold of slow query. |
| `slow_query.sample_ratio` | Float | Unset | The sampling ratio of slow query log. The value should be in the range of (0, 1]. |
| `export_metrics` | -- | -- | The standalone can export its metrics and send to Prometheus compatible service (e.g. `greptimedb`) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
| `export_metrics.enable` | Bool | `false` | whether enable export metrics. |
| `export_metrics.write_interval` | String | `30s` | The interval of export metrics. |
| `export_metrics.self_import` | -- | -- | For `standalone` mode, `self_import` is recommended to collect metrics generated by itself<br/>You must create the database before enabling it. |
| `export_metrics.self_import.db` | String | Unset | -- |
| `export_metrics.remote_write` | -- | -- | -- |
| `export_metrics.remote_write.url` | String | `""` | The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
| `export_metrics.remote_write.headers` | InlineTable | -- | HTTP headers of Prometheus remote-write carry. |
| `tracing` | -- | -- | The tracing options. Only effect when compiled with `tokio-console` feature. |
| `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
| `memory` | -- | -- | The memory options. |
@@ -226,6 +223,7 @@
| Key | Type | Default | Descriptions |
| --- | -----| ------- | ----------- |
| `default_timezone` | String | Unset | The default timezone of the server. |
| `default_column_prefix` | String | Unset | The default column prefix for auto-created time index and value columns. |
| `max_in_flight_write_bytes` | String | Unset | The maximum in-flight write bytes. |
| `runtime` | -- | -- | The runtime options. |
| `runtime.global_rt_size` | Integer | `8` | The number of threads to execute the runtime for global read operations. |
@@ -306,6 +304,7 @@
| `query` | -- | -- | The query engine options. |
| `query.parallelism` | Integer | `0` | Parallelism of the query engine.<br/>Default to 0, which means the number of CPU cores. |
| `query.allow_query_fallback` | Bool | `false` | Whether to allow query fallback when push down optimize fails.<br/>Default to false, meaning when push down optimize failed, return error msg |
| `query.memory_pool_size` | String | `50%` | Memory pool size for query execution operators (aggregation, sorting, join).<br/>Supports absolute size (e.g., "4GB", "8GB") or percentage of system memory (e.g., "30%").<br/>Setting it to 0 disables the limit (unbounded, default behavior).<br/>When this limit is reached, queries will fail with ResourceExhausted error.<br/>NOTE: This does NOT limit memory used by table scans (only applies to datanodes). |
| `datanode` | -- | -- | Datanode options. |
| `datanode.client` | -- | -- | Datanode client options. |
| `datanode.client.connect_timeout` | String | `10s` | -- |
@@ -328,12 +327,6 @@
| `slow_query.threshold` | String | `30s` | The threshold of slow query. It can be human readable time string, for example: `10s`, `100ms`, `1s`. |
| `slow_query.sample_ratio` | Float | `1.0` | The sampling ratio of slow query log. The value should be in the range of (0, 1]. For example, `0.1` means 10% of the slow queries will be logged and `1.0` means all slow queries will be logged. |
| `slow_query.ttl` | String | `90d` | The TTL of the `slow_queries` system table. Default is `90d` when `record_type` is `system_table`. |
| `export_metrics` | -- | -- | The frontend can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
| `export_metrics.enable` | Bool | `false` | whether enable export metrics. |
| `export_metrics.write_interval` | String | `30s` | The interval of export metrics. |
| `export_metrics.remote_write` | -- | -- | -- |
| `export_metrics.remote_write.url` | String | `""` | The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
| `export_metrics.remote_write.headers` | InlineTable | -- | HTTP headers of Prometheus remote-write carry. |
| `tracing` | -- | -- | The tracing options. Only effect when compiled with `tokio-console` feature. |
| `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
| `memory` | -- | -- | The memory options. |
@@ -347,7 +340,7 @@
| Key | Type | Default | Descriptions |
| --- | -----| ------- | ----------- |
| `data_home` | String | `./greptimedb_data` | The working home directory. |
| `store_addrs` | Array | -- | Store server address default to etcd store.<br/>For postgres store, the format is:<br/>"password=password dbname=postgres user=postgres host=localhost port=5432"<br/>For etcd store, the format is:<br/>"127.0.0.1:2379" |
| `store_addrs` | Array | -- | Store server address(es). The format depends on the selected backend.<br/><br/>For etcd: a list of "host:port" endpoints.<br/>e.g. ["192.168.1.1:2379", "192.168.1.2:2379"]<br/><br/>For PostgreSQL: a connection string in libpq format or URI.<br/>e.g.<br/>- "host=localhost port=5432 user=postgres password=<PASSWORD> dbname=postgres"<br/>- "postgresql://user:password@localhost:5432/mydb?connect_timeout=10"<br/>The detail see: https://docs.rs/tokio-postgres/latest/tokio_postgres/config/struct.Config.html<br/><br/>For mysql store, the format is a MySQL connection URL.<br/>e.g. "mysql://user:password@localhost:3306/greptime_meta?ssl-mode=VERIFY_CA&ssl-ca=/path/to/ca.pem" |
| `store_key_prefix` | String | `""` | If it's not empty, the metasrv will store all data with this key prefix. |
| `backend` | String | `etcd_store` | The datastore for meta server.<br/>Available values:<br/>- `etcd_store` (default value)<br/>- `memory_store`<br/>- `postgres_store`<br/>- `mysql_store` |
| `meta_table_name` | String | `greptime_metakv` | Table name in RDS to store metadata. Effect when using a RDS kvbackend.<br/>**Only used when backend is `postgres_store`.** |
@@ -363,12 +356,11 @@
| `runtime` | -- | -- | The runtime options. |
| `runtime.global_rt_size` | Integer | `8` | The number of threads to execute the runtime for global read operations. |
| `runtime.compact_rt_size` | Integer | `4` | The number of threads to execute the runtime for global write operations. |
| `backend_tls` | -- | -- | TLS configuration for kv store backend (applicable for etcd, PostgreSQL, and MySQL backends)<br/>When using etcd, PostgreSQL, or MySQL as metadata store, you can configure TLS here |
| `backend_tls` | -- | -- | TLS configuration for kv store backend (applicable for etcd, PostgreSQL, and MySQL backends)<br/>When using etcd, PostgreSQL, or MySQL as metadata store, you can configure TLS here<br/><br/>Note: if TLS is configured in both this section and the `store_addrs` connection string, the<br/>settings here will override the TLS settings in `store_addrs`. |
| `backend_tls.mode` | String | `prefer` | TLS mode, refer to https://www.postgresql.org/docs/current/libpq-ssl.html<br/>- "disable" - No TLS<br/>- "prefer" (default) - Try TLS, fallback to plain<br/>- "require" - Require TLS<br/>- "verify_ca" - Require TLS and verify CA<br/>- "verify_full" - Require TLS and verify hostname |
| `backend_tls.cert_path` | String | `""` | Path to client certificate file (for client authentication)<br/>Like "/path/to/client.crt" |
| `backend_tls.key_path` | String | `""` | Path to client private key file (for client authentication)<br/>Like "/path/to/client.key" |
| `backend_tls.ca_cert_path` | String | `""` | Path to CA certificate file (for server certificate verification)<br/>Required when using custom CAs or self-signed certificates<br/>Leave empty to use system root certificates only<br/>Like "/path/to/ca.crt" |
| `backend_tls.watch` | Bool | `false` | Watch for certificate file changes and auto reload |
| `grpc` | -- | -- | The gRPC server options. |
| `grpc.bind_addr` | String | `127.0.0.1:3002` | The address to bind the gRPC server. |
| `grpc.server_addr` | String | `127.0.0.1:3002` | The communication server address for the frontend and datanode to connect to metasrv.<br/>If left empty or unset, the server will automatically use the IP address of the first network interface<br/>on the host, with the same port number as the one specified in `bind_addr`. |
@@ -423,12 +415,6 @@
| `logging.otlp_headers` | -- | -- | Additional OTLP headers, only valid when using OTLP http |
| `logging.tracing_sample_ratio` | -- | Unset | The percentage of tracing will be sampled and exported.<br/>Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.<br/>ratio > 1 are treated as 1. Fractions < 0 are treated as 0 |
| `logging.tracing_sample_ratio.default_ratio` | Float | `1.0` | -- |
| `export_metrics` | -- | -- | The metasrv can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
| `export_metrics.enable` | Bool | `false` | whether enable export metrics. |
| `export_metrics.write_interval` | String | `30s` | The interval of export metrics. |
| `export_metrics.remote_write` | -- | -- | -- |
| `export_metrics.remote_write.url` | String | `""` | The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
| `export_metrics.remote_write.headers` | InlineTable | -- | HTTP headers of Prometheus remote-write carry. |
| `tracing` | -- | -- | The tracing options. Only effect when compiled with `tokio-console` feature. |
| `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
| `memory` | -- | -- | The memory options. |
@@ -440,10 +426,11 @@
| Key | Type | Default | Descriptions |
| --- | -----| ------- | ----------- |
| `node_id` | Integer | Unset | The datanode identifier and should be unique in the cluster. |
| `default_column_prefix` | String | Unset | The default column prefix for auto-created time index and value columns. |
| `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. |
| `init_regions_parallelism` | Integer | `16` | Parallelism of initializing regions. |
| `max_concurrent_queries` | Integer | `0` | The maximum current queries allowed to be executed. Zero means unlimited. |
| `max_concurrent_queries` | Integer | `0` | The maximum current queries allowed to be executed. Zero means unlimited.<br/>NOTE: This setting affects scan_memory_limit's privileged tier allocation.<br/>When set, 70% of queries get privileged memory access (full scan_memory_limit).<br/>The remaining 30% get standard tier access (70% of scan_memory_limit). |
| `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. |
@@ -497,6 +484,7 @@
| `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. |
| `query.memory_pool_size` | String | `50%` | Memory pool size for query execution operators (aggregation, sorting, join).<br/>Supports absolute size (e.g., "2GB", "4GB") or percentage of system memory (e.g., "20%").<br/>Setting it to 0 disables the limit (unbounded, default behavior).<br/>When this limit is reached, queries will fail with ResourceExhausted error.<br/>NOTE: This does NOT limit memory used by table scans. |
| `storage` | -- | -- | The data storage options. |
| `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. |
@@ -546,10 +534,13 @@
| `region_engine.mito.write_cache_path` | String | `""` | File system path for write cache, defaults to `{data_home}`. |
| `region_engine.mito.write_cache_size` | String | `5GiB` | Capacity for write cache. If your disk space is sufficient, it is recommended to set it larger. |
| `region_engine.mito.write_cache_ttl` | String | Unset | TTL for write cache. |
| `region_engine.mito.preload_index_cache` | Bool | `true` | Preload index (puffin) files into cache on region open (default: true).<br/>When enabled, index files are loaded into the write cache during region initialization,<br/>which can improve query performance at the cost of longer startup times. |
| `region_engine.mito.index_cache_percent` | Integer | `20` | Percentage of write cache capacity allocated for index (puffin) files (default: 20).<br/>The remaining capacity is used for data (parquet) files.<br/>Must be between 0 and 100 (exclusive). For example, with a 5GiB write cache and 20% allocation,<br/>1GiB is reserved for index files and 4GiB for data files. |
| `region_engine.mito.sst_write_buffer_size` | String | `8MB` | Buffer size for SST writing. |
| `region_engine.mito.parallel_scan_channel_size` | Integer | `32` | Capacity of the channel to send data from parallel scan tasks to the main task. |
| `region_engine.mito.max_concurrent_scan_files` | Integer | `384` | Maximum number of SST files to scan concurrently. |
| `region_engine.mito.allow_stale_entries` | Bool | `false` | Whether to allow stale WAL entries read during replay. |
| `region_engine.mito.scan_memory_limit` | String | `50%` | Memory limit for table scans across all queries.<br/>Supports absolute size (e.g., "2GB") or percentage of system memory (e.g., "20%").<br/>Setting it to 0 disables the limit.<br/>NOTE: Works with max_concurrent_queries for tiered memory allocation.<br/>- If max_concurrent_queries is set: 70% of queries get full access, 30% get 70% access.<br/>- If max_concurrent_queries is 0 (unlimited): first 20 queries get full access, rest get 70% access. |
| `region_engine.mito.min_compaction_interval` | String | `0m` | Minimum time interval between two compactions.<br/>To align with the old behavior, the default value is 0 (no restrictions). |
| `region_engine.mito.default_experimental_flat_format` | Bool | `false` | Whether to enable experimental flat format as the default format. |
| `region_engine.mito.index` | -- | -- | The options for index in Mito engine. |
@@ -583,7 +574,7 @@
| `region_engine.mito.memtable.fork_dictionary_bytes` | String | `1GiB` | Max dictionary bytes.<br/>Only available for `partition_tree` memtable. |
| `region_engine.file` | -- | -- | Enable the file engine. |
| `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. |
| `region_engine.metric.sparse_primary_key_encoding` | Bool | `true` | Whether to use sparse primary key encoding. |
| `logging` | -- | -- | The logging options. |
| `logging.dir` | String | `./greptimedb_data/logs` | The directory to store the log files. If set to empty, logs will not be written to files. |
| `logging.level` | String | Unset | The log level. Can be `info`/`debug`/`warn`/`error`. |
@@ -596,12 +587,6 @@
| `logging.otlp_headers` | -- | -- | Additional OTLP headers, only valid when using OTLP http |
| `logging.tracing_sample_ratio` | -- | Unset | The percentage of tracing will be sampled and exported.<br/>Valid range `[0, 1]`, 1 means all traces are sampled, 0 means all traces are not sampled, the default value is 1.<br/>ratio > 1 are treated as 1. Fractions < 0 are treated as 0 |
| `logging.tracing_sample_ratio.default_ratio` | Float | `1.0` | -- |
| `export_metrics` | -- | -- | The datanode can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.<br/>This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape. |
| `export_metrics.enable` | Bool | `false` | whether enable export metrics. |
| `export_metrics.write_interval` | String | `30s` | The interval of export metrics. |
| `export_metrics.remote_write` | -- | -- | -- |
| `export_metrics.remote_write.url` | String | `""` | The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`. |
| `export_metrics.remote_write.headers` | InlineTable | -- | HTTP headers of Prometheus remote-write carry. |
| `tracing` | -- | -- | The tracing options. Only effect when compiled with `tokio-console` feature. |
| `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
| `memory` | -- | -- | The memory options. |
@@ -670,5 +655,6 @@
| `tracing.tokio_console_addr` | String | Unset | The tokio console address. |
| `query` | -- | -- | -- |
| `query.parallelism` | Integer | `1` | Parallelism of the query engine for query sent by flownode.<br/>Default to 1, so it won't use too much cpu or memory |
| `query.memory_pool_size` | String | `50%` | Memory pool size for query execution operators (aggregation, sorting, join).<br/>Supports absolute size (e.g., "1GB", "2GB") or percentage of system memory (e.g., "20%").<br/>Setting it to 0 disables the limit (unbounded, default behavior).<br/>When this limit is reached, queries will fail with ResourceExhausted error.<br/>NOTE: This does NOT limit memory used by table scans. |
| `memory` | -- | -- | The memory options. |
| `memory.enable_heap_profiling` | Bool | `true` | Whether to enable heap profiling activation during startup.<br/>When enabled, heap profiling will be activated if the `MALLOC_CONF` environment variable<br/>is set to "prof:true,prof_active:false". The official image adds this env variable.<br/>Default is true. |

View File

@@ -2,6 +2,10 @@
## @toml2docs:none-default
node_id = 42
## The default column prefix for auto-created time index and value columns.
## @toml2docs:none-default
default_column_prefix = "greptime"
## Start services after regions have obtained leases.
## It will block the datanode start if it can't receive leases in the heartbeat from metasrv.
require_lease_before_startup = false
@@ -14,6 +18,9 @@ init_regions_in_background = false
init_regions_parallelism = 16
## The maximum current queries allowed to be executed. Zero means unlimited.
## NOTE: This setting affects scan_memory_limit's privileged tier allocation.
## When set, 70% of queries get privileged memory access (full scan_memory_limit).
## The remaining 30% get standard tier access (70% of scan_memory_limit).
max_concurrent_queries = 0
## Enable telemetry to collect anonymous usage data. Enabled by default.
@@ -257,6 +264,13 @@ overwrite_entry_start_id = false
## Default to 0, which means the number of CPU cores.
parallelism = 0
## Memory pool size for query execution operators (aggregation, sorting, join).
## Supports absolute size (e.g., "2GB", "4GB") or percentage of system memory (e.g., "20%").
## Setting it to 0 disables the limit (unbounded, default behavior).
## When this limit is reached, queries will fail with ResourceExhausted error.
## NOTE: This does NOT limit memory used by table scans.
memory_pool_size = "50%"
## The data storage options.
[storage]
## The working home directory.
@@ -485,6 +499,17 @@ write_cache_size = "5GiB"
## @toml2docs:none-default
write_cache_ttl = "8h"
## Preload index (puffin) files into cache on region open (default: true).
## When enabled, index files are loaded into the write cache during region initialization,
## which can improve query performance at the cost of longer startup times.
preload_index_cache = true
## Percentage of write cache capacity allocated for index (puffin) files (default: 20).
## The remaining capacity is used for data (parquet) files.
## Must be between 0 and 100 (exclusive). For example, with a 5GiB write cache and 20% allocation,
## 1GiB is reserved for index files and 4GiB for data files.
index_cache_percent = 20
## Buffer size for SST writing.
sst_write_buffer_size = "8MB"
@@ -497,6 +522,14 @@ max_concurrent_scan_files = 384
## Whether to allow stale WAL entries read during replay.
allow_stale_entries = false
## Memory limit for table scans across all queries.
## Supports absolute size (e.g., "2GB") or percentage of system memory (e.g., "20%").
## Setting it to 0 disables the limit.
## NOTE: Works with max_concurrent_queries for tiered memory allocation.
## - If max_concurrent_queries is set: 70% of queries get full access, 30% get 70% access.
## - If max_concurrent_queries is 0 (unlimited): first 20 queries get full access, rest get 70% access.
scan_memory_limit = "50%"
## Minimum time interval between two compactions.
## To align with the old behavior, the default value is 0 (no restrictions).
min_compaction_interval = "0m"
@@ -636,8 +669,8 @@ fork_dictionary_bytes = "1GiB"
[[region_engine]]
## Metric engine options.
[region_engine.metric]
## Whether to enable the experimental sparse primary key encoding.
experimental_sparse_primary_key_encoding = false
## Whether to use sparse primary key encoding.
sparse_primary_key_encoding = true
## The logging options.
[logging]
@@ -679,21 +712,6 @@ otlp_export_protocol = "http"
[logging.tracing_sample_ratio]
default_ratio = 1.0
## The datanode can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.
## This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape.
[export_metrics]
## whether enable export metrics.
enable = false
## The interval of export metrics.
write_interval = "30s"
[export_metrics.remote_write]
## The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
url = ""
## HTTP headers of Prometheus remote-write carry.
headers = { }
## The tracing options. Only effect when compiled with `tokio-console` feature.
#+ [tracing]
## The tokio console address.

View File

@@ -158,6 +158,13 @@ default_ratio = 1.0
## Default to 1, so it won't use too much cpu or memory
parallelism = 1
## Memory pool size for query execution operators (aggregation, sorting, join).
## Supports absolute size (e.g., "1GB", "2GB") or percentage of system memory (e.g., "20%").
## Setting it to 0 disables the limit (unbounded, default behavior).
## When this limit is reached, queries will fail with ResourceExhausted error.
## NOTE: This does NOT limit memory used by table scans.
memory_pool_size = "50%"
## The memory options.
[memory]
## Whether to enable heap profiling activation during startup.

View File

@@ -2,6 +2,10 @@
## @toml2docs:none-default
default_timezone = "UTC"
## The default column prefix for auto-created time index and value columns.
## @toml2docs:none-default
default_column_prefix = "greptime"
## The maximum in-flight write bytes.
## @toml2docs:none-default
#+ max_in_flight_write_bytes = "500MB"
@@ -252,6 +256,13 @@ parallelism = 0
## Default to false, meaning when push down optimize failed, return error msg
allow_query_fallback = false
## Memory pool size for query execution operators (aggregation, sorting, join).
## Supports absolute size (e.g., "4GB", "8GB") or percentage of system memory (e.g., "30%").
## Setting it to 0 disables the limit (unbounded, default behavior).
## When this limit is reached, queries will fail with ResourceExhausted error.
## NOTE: This does NOT limit memory used by table scans (only applies to datanodes).
memory_pool_size = "50%"
## Datanode options.
[datanode]
## Datanode client options.
@@ -318,21 +329,6 @@ sample_ratio = 1.0
## The TTL of the `slow_queries` system table. Default is `90d` when `record_type` is `system_table`.
ttl = "90d"
## The frontend can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.
## This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape.
[export_metrics]
## whether enable export metrics.
enable = false
## The interval of export metrics.
write_interval = "30s"
[export_metrics.remote_write]
## The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
url = ""
## HTTP headers of Prometheus remote-write carry.
headers = { }
## The tracing options. Only effect when compiled with `tokio-console` feature.
#+ [tracing]
## The tokio console address.

View File

@@ -1,11 +1,19 @@
## The working home directory.
data_home = "./greptimedb_data"
## Store server address default to etcd store.
## For postgres store, the format is:
## "password=password dbname=postgres user=postgres host=localhost port=5432"
## For etcd store, the format is:
## "127.0.0.1:2379"
## Store server address(es). The format depends on the selected backend.
##
## For etcd: a list of "host:port" endpoints.
## e.g. ["192.168.1.1:2379", "192.168.1.2:2379"]
##
## For PostgreSQL: a connection string in libpq format or URI.
## e.g.
## - "host=localhost port=5432 user=postgres password=<PASSWORD> dbname=postgres"
## - "postgresql://user:password@localhost:5432/mydb?connect_timeout=10"
## The detail see: https://docs.rs/tokio-postgres/latest/tokio_postgres/config/struct.Config.html
##
## For mysql store, the format is a MySQL connection URL.
## e.g. "mysql://user:password@localhost:3306/greptime_meta?ssl-mode=VERIFY_CA&ssl-ca=/path/to/ca.pem"
store_addrs = ["127.0.0.1:2379"]
## If it's not empty, the metasrv will store all data with this key prefix.
@@ -75,6 +83,9 @@ node_max_idle_time = "24hours"
## TLS configuration for kv store backend (applicable for etcd, PostgreSQL, and MySQL backends)
## When using etcd, PostgreSQL, or MySQL as metadata store, you can configure TLS here
##
## Note: if TLS is configured in both this section and the `store_addrs` connection string, the
## settings here will override the TLS settings in `store_addrs`.
[backend_tls]
## TLS mode, refer to https://www.postgresql.org/docs/current/libpq-ssl.html
## - "disable" - No TLS
@@ -98,9 +109,6 @@ key_path = ""
## Like "/path/to/ca.crt"
ca_cert_path = ""
## Watch for certificate file changes and auto reload
watch = false
## The gRPC server options.
[grpc]
## The address to bind the gRPC server.
@@ -323,21 +331,6 @@ otlp_export_protocol = "http"
[logging.tracing_sample_ratio]
default_ratio = 1.0
## The metasrv can export its metrics and send to Prometheus compatible service (e.g. `greptimedb` itself) from remote-write API.
## This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape.
[export_metrics]
## whether enable export metrics.
enable = false
## The interval of export metrics.
write_interval = "30s"
[export_metrics.remote_write]
## The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
url = ""
## HTTP headers of Prometheus remote-write carry.
headers = { }
## The tracing options. Only effect when compiled with `tokio-console` feature.
#+ [tracing]
## The tokio console address.

View File

@@ -2,6 +2,10 @@
## @toml2docs:none-default
default_timezone = "UTC"
## The default column prefix for auto-created time index and value columns.
## @toml2docs:none-default
default_column_prefix = "greptime"
## Initialize all regions in the background during the startup.
## By default, it provides services after all regions have been initialized.
init_regions_in_background = false
@@ -10,6 +14,9 @@ init_regions_in_background = false
init_regions_parallelism = 16
## The maximum current queries allowed to be executed. Zero means unlimited.
## NOTE: This setting affects scan_memory_limit's privileged tier allocation.
## When set, 70% of queries get privileged memory access (full scan_memory_limit).
## The remaining 30% get standard tier access (70% of scan_memory_limit).
max_concurrent_queries = 0
## Enable telemetry to collect anonymous usage data. Enabled by default.
@@ -361,6 +368,13 @@ max_running_procedures = 128
## Default to 0, which means the number of CPU cores.
parallelism = 0
## Memory pool size for query execution operators (aggregation, sorting, join).
## Supports absolute size (e.g., "2GB", "4GB") or percentage of system memory (e.g., "20%").
## Setting it to 0 disables the limit (unbounded, default behavior).
## When this limit is reached, queries will fail with ResourceExhausted error.
## NOTE: This does NOT limit memory used by table scans.
memory_pool_size = "50%"
## The data storage options.
[storage]
## The working home directory.
@@ -576,6 +590,17 @@ write_cache_size = "5GiB"
## @toml2docs:none-default
write_cache_ttl = "8h"
## Preload index (puffin) files into cache on region open (default: true).
## When enabled, index files are loaded into the write cache during region initialization,
## which can improve query performance at the cost of longer startup times.
preload_index_cache = true
## Percentage of write cache capacity allocated for index (puffin) files (default: 20).
## The remaining capacity is used for data (parquet) files.
## Must be between 0 and 100 (exclusive). For example, with a 5GiB write cache and 20% allocation,
## 1GiB is reserved for index files and 4GiB for data files.
index_cache_percent = 20
## Buffer size for SST writing.
sst_write_buffer_size = "8MB"
@@ -588,6 +613,14 @@ max_concurrent_scan_files = 384
## Whether to allow stale WAL entries read during replay.
allow_stale_entries = false
## Memory limit for table scans across all queries.
## Supports absolute size (e.g., "2GB") or percentage of system memory (e.g., "20%").
## Setting it to 0 disables the limit.
## NOTE: Works with max_concurrent_queries for tiered memory allocation.
## - If max_concurrent_queries is set: 70% of queries get full access, 30% get 70% access.
## - If max_concurrent_queries is 0 (unlimited): first 20 queries get full access, rest get 70% access.
scan_memory_limit = "50%"
## Minimum time interval between two compactions.
## To align with the old behavior, the default value is 0 (no restrictions).
min_compaction_interval = "0m"
@@ -727,8 +760,8 @@ fork_dictionary_bytes = "1GiB"
[[region_engine]]
## Metric engine options.
[region_engine.metric]
## Whether to enable the experimental sparse primary key encoding.
experimental_sparse_primary_key_encoding = false
## Whether to use sparse primary key encoding.
sparse_primary_key_encoding = true
## The logging options.
[logging]
@@ -787,27 +820,6 @@ default_ratio = 1.0
## @toml2docs:none-default
#+ sample_ratio = 1.0
## The standalone can export its metrics and send to Prometheus compatible service (e.g. `greptimedb`) from remote-write API.
## This is only used for `greptimedb` to export its own metrics internally. It's different from prometheus scrape.
[export_metrics]
## whether enable export metrics.
enable = false
## The interval of export metrics.
write_interval = "30s"
## For `standalone` mode, `self_import` is recommended to collect metrics generated by itself
## You must create the database before enabling it.
[export_metrics.self_import]
## @toml2docs:none-default
db = "greptime_metrics"
[export_metrics.remote_write]
## The prometheus remote write endpoint that the metrics send to. The url example can be: `http://127.0.0.1:4000/v1/prometheus/write?db=greptime_metrics`.
url = ""
## HTTP headers of Prometheus remote-write carry.
headers = { }
## The tracing options. Only effect when compiled with `tokio-console` feature.
#+ [tracing]
## The tokio console address.

View File

@@ -1,10 +1,10 @@
FROM centos:7 as builder
FROM centos:7 AS builder
ARG CARGO_PROFILE
ARG FEATURES
ARG OUTPUT_DIR
ENV LANG en_US.utf8
ENV LANG=en_US.utf8
WORKDIR /greptimedb
# Install dependencies
@@ -22,7 +22,7 @@ RUN unzip protoc-3.15.8-linux-x86_64.zip -d /usr/local/
# 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 /usr/local/bin:/root/.cargo/bin/:$PATH
ENV PATH=/usr/local/bin:/root/.cargo/bin/:$PATH
# Build the project in release mode.
RUN --mount=target=.,rw \
@@ -33,7 +33,7 @@ RUN --mount=target=.,rw \
TARGET_DIR=/out/target
# Export the binary to the clean image.
FROM centos:7 as base
FROM centos:7 AS base
ARG OUTPUT_DIR
@@ -45,7 +45,7 @@ RUN yum install -y epel-release \
WORKDIR /greptime
COPY --from=builder /out/target/${OUTPUT_DIR}/greptime /greptime/bin/
ENV PATH /greptime/bin/:$PATH
ENV PATH=/greptime/bin/:$PATH
ENV MALLOC_CONF="prof:true,prof_active:false"

View File

@@ -0,0 +1,65 @@
FROM ubuntu:22.04 AS builder
ARG CARGO_PROFILE
ARG FEATURES
ARG OUTPUT_DIR
ENV LANG=en_US.utf8
WORKDIR /greptimedb
RUN apt-get update && \
DEBIAN_FRONTEND=noninteractive apt-get install -y software-properties-common
# Install dependencies.
RUN --mount=type=cache,target=/var/cache/apt \
apt-get update && apt-get install -y \
libssl-dev \
protobuf-compiler \
curl \
git \
build-essential \
pkg-config
# 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/:$PATH
# Build the project in release mode.
RUN --mount=target=. \
--mount=type=cache,target=/root/.cargo/registry \
make build \
CARGO_PROFILE=${CARGO_PROFILE} \
FEATURES=${FEATURES} \
TARGET_DIR=/out/target
FROM ubuntu:22.04 AS libs
ARG TARGETARCH
# Copy required library dependencies based on architecture
RUN if [ "$TARGETARCH" = "amd64" ]; then \
cp /lib/x86_64-linux-gnu/libz.so.1.2.11 /lib/x86_64-linux-gnu/libz.so.1; \
elif [ "$TARGETARCH" = "arm64" ]; then \
cp /lib/aarch64-linux-gnu/libz.so.1.2.11 /lib/aarch64-linux-gnu/libz.so.1; \
else \
echo "Unsupported architecture: $TARGETARCH" && exit 1; \
fi
# Export the binary to the clean distroless image.
FROM gcr.io/distroless/cc-debian12:latest AS base
ARG OUTPUT_DIR
ARG TARGETARCH
# Copy required library dependencies
COPY --from=libs /lib /lib
COPY --from=busybox:stable /bin/busybox /bin/busybox
WORKDIR /greptime
COPY --from=builder /out/target/${OUTPUT_DIR}/greptime /greptime/bin/greptime
ENV PATH=/greptime/bin/:$PATH
ENV MALLOC_CONF="prof:true,prof_active:false"
ENTRYPOINT ["greptime"]

View File

@@ -1,10 +1,10 @@
FROM ubuntu:22.04 as builder
FROM ubuntu:22.04 AS builder
ARG CARGO_PROFILE
ARG FEATURES
ARG OUTPUT_DIR
ENV LANG en_US.utf8
ENV LANG=en_US.utf8
WORKDIR /greptimedb
RUN apt-get update && \
@@ -23,7 +23,7 @@ RUN --mount=type=cache,target=/var/cache/apt \
# 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/:$PATH
ENV PATH=/root/.cargo/bin/:$PATH
# Build the project in release mode.
RUN --mount=target=. \
@@ -35,7 +35,7 @@ RUN --mount=target=. \
# Export the binary to the clean image.
# TODO(zyy17): Maybe should use the more secure container image.
FROM ubuntu:22.04 as base
FROM ubuntu:22.04 AS base
ARG OUTPUT_DIR
@@ -45,7 +45,7 @@ RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get \
WORKDIR /greptime
COPY --from=builder /out/target/${OUTPUT_DIR}/greptime /greptime/bin/
ENV PATH /greptime/bin/:$PATH
ENV PATH=/greptime/bin/:$PATH
ENV MALLOC_CONF="prof:true,prof_active:false"

View File

@@ -13,7 +13,7 @@ ARG TARGETARCH
ADD $TARGETARCH/greptime /greptime/bin/
ENV PATH /greptime/bin/:$PATH
ENV PATH=/greptime/bin/:$PATH
ENV MALLOC_CONF="prof:true,prof_active:false"

View File

@@ -0,0 +1,40 @@
FROM ubuntu:22.04 AS libs
ARG TARGETARCH
# Copy required library dependencies based on architecture
# TARGETARCH values: amd64, arm64
# Ubuntu library paths: x86_64-linux-gnu, aarch64-linux-gnu
RUN if [ "$TARGETARCH" = "amd64" ]; then \
mkdir -p /output/x86_64-linux-gnu && \
cp /lib/x86_64-linux-gnu/libz.so.1.2.11 /output/x86_64-linux-gnu/libz.so.1; \
elif [ "$TARGETARCH" = "arm64" ]; then \
mkdir -p /output/aarch64-linux-gnu && \
cp /lib/aarch64-linux-gnu/libz.so.1.2.11 /output/aarch64-linux-gnu/libz.so.1; \
else \
echo "Unsupported architecture: $TARGETARCH" && exit 1; \
fi
FROM gcr.io/distroless/cc-debian12:latest
# The root path under which contains all the dependencies to build this Dockerfile.
ARG DOCKER_BUILD_ROOT=.
# The binary name of GreptimeDB executable.
# Defaults to "greptime", but sometimes in other projects it might be different.
ARG TARGET_BIN=greptime
ARG TARGETARCH
# Copy required library dependencies
COPY --from=libs /output /lib
COPY --from=busybox:stable /bin/busybox /bin/busybox
ADD $TARGETARCH/$TARGET_BIN /greptime/bin/
ENV PATH=/greptime/bin/:$PATH
ENV TARGET_BIN=$TARGET_BIN
ENV MALLOC_CONF="prof:true,prof_active:false"
ENTRYPOINT ["greptime"]

View File

@@ -14,7 +14,7 @@ ARG TARGETARCH
ADD $TARGETARCH/$TARGET_BIN /greptime/bin/
ENV PATH /greptime/bin/:$PATH
ENV PATH=/greptime/bin/:$PATH
ENV TARGET_BIN=$TARGET_BIN

View File

@@ -14,3 +14,18 @@ Log Level changed from Some("info") to "trace,flow=debug"%
The data is a string in the format of `global_level,module1=level1,module2=level2,...` that follows the same rule of `RUST_LOG`.
The module is the module name of the log, and the level is the log level. The log level can be one of the following: `trace`, `debug`, `info`, `warn`, `error`, `off`(case insensitive).
# Enable/Disable Trace on the Fly
## HTTP API
example:
```bash
curl --data "true" 127.0.0.1:4000/debug/enable_trace
```
And database will reply with something like:
```
trace enabled%
```
Possible values are "true" or "false".

View File

@@ -71,6 +71,15 @@ curl -X POST localhost:4000/debug/prof/mem/activate
# Deactivate heap profiling
curl -X POST localhost:4000/debug/prof/mem/deactivate
# Activate gdump feature that dumps memory profiling data every time virtual memory usage exceeds previous maximum value.
curl -X POST localhost:4000/debug/prof/mem/gdump -d 'activate=true'
# Deactivate gdump.
curl -X POST localhost:4000/debug/prof/mem/gdump -d 'activate=false'
# Retrieve current gdump status.
curl -X GET localhost:4000/debug/prof/mem/gdump
```
### Dump memory profiling data

View File

@@ -106,6 +106,37 @@ This mechanism may be too complex to implement at once. We can consider a two-ph
Also the read replica shouldn't be later in manifest version for more than the lingering time of obsolete files, otherwise it might ref to files that are already deleted by the GC worker.
- need to upload tmp manifest to object storage, which may introduce additional complexity and potential performance overhead. But since long-running queries are typically not frequent, the performance impact is expected to be minimal.
one potential race condition with region-migration is illustrated below:
```mermaid
sequenceDiagram
participant gc_worker as GC Worker(same dn as region 1)
participant region1 as Region 1 (Leader → Follower)
participant region2 as Region 2 (Follower → Leader)
participant region_dir as Region Directory
gc_worker->>region1: Start GC, get region manifest
activate region1
region1-->>gc_worker: Region 1 manifest
deactivate region1
gc_worker->>region_dir: Scan region directory
Note over region1,region2: Region Migration Occurs
region1-->>region2: Downgrade to Follower
region2-->>region1: Becomes Leader
region2->>region_dir: Add new file
gc_worker->>region_dir: Continue scanning
gc_worker-->>region_dir: Discovers new file
Note over gc_worker: New file not in Region 1's manifest
gc_worker->>gc_worker: Mark file as orphan(incorrectly)
```
which could cause gc worker to incorrectly mark the new file as orphan and delete it, if config the lingering time for orphan files(files not mentioned anywhere(in used or unused)) is not long enough.
A good enough solution could be to use lock to prevent gc worker to happen on the region if region migration is happening on the region, and vise versa.
The race condition between gc worker and repartition also needs to be considered carefully. For now, acquiring lock for both region-migration and repartition during gc worker process could be a simple solution.
## Conclusion and Rationale

View File

@@ -8,6 +8,7 @@ license.workspace = true
workspace = true
[dependencies]
arrow-schema.workspace = true
common-base.workspace = true
common-decimal.workspace = true
common-error.workspace = true

View File

@@ -12,7 +12,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use std::collections::HashSet;
use std::collections::{BTreeMap, HashSet};
use std::sync::Arc;
use common_decimal::Decimal128;
@@ -20,13 +20,12 @@ use common_decimal::decimal128::{DECIMAL128_DEFAULT_SCALE, DECIMAL128_MAX_PRECIS
use common_time::time::Time;
use common_time::timestamp::TimeUnit;
use common_time::{Date, IntervalDayTime, IntervalMonthDayNano, IntervalYearMonth, Timestamp};
use datatypes::json::value::{JsonNumber, JsonValue, JsonValueRef, JsonVariant};
use datatypes::prelude::{ConcreteDataType, ValueRef};
use datatypes::types::{
IntervalType, JsonFormat, StructField, StructType, TimeType, TimestampType,
};
use datatypes::value::{
ListValue, ListValueRef, OrderedF32, OrderedF64, StructValue, StructValueRef, Value,
IntervalType, JsonFormat, JsonType, StructField, StructType, TimeType, TimestampType,
};
use datatypes::value::{ListValueRef, OrderedF32, OrderedF64, StructValueRef, Value};
use datatypes::vectors::VectorRef;
use greptime_proto::v1::column_data_type_extension::TypeExt;
use greptime_proto::v1::ddl_request::Expr;
@@ -34,9 +33,9 @@ use greptime_proto::v1::greptime_request::Request;
use greptime_proto::v1::query_request::Query;
use greptime_proto::v1::value::ValueData;
use greptime_proto::v1::{
self, ColumnDataTypeExtension, DdlRequest, DecimalTypeExtension, JsonNativeTypeExtension,
JsonTypeExtension, ListTypeExtension, QueryRequest, Row, SemanticType, StructTypeExtension,
VectorTypeExtension,
self, ColumnDataTypeExtension, DdlRequest, DecimalTypeExtension, DictionaryTypeExtension,
JsonList, JsonNativeTypeExtension, JsonObject, JsonTypeExtension, ListTypeExtension,
QueryRequest, Row, SemanticType, StructTypeExtension, VectorTypeExtension, json_value,
};
use paste::paste;
use snafu::prelude::*;
@@ -81,6 +80,10 @@ impl ColumnDataTypeWrapper {
pub fn to_parts(&self) -> (ColumnDataType, Option<ColumnDataTypeExtension>) {
(self.datatype, self.datatype_ext.clone())
}
pub fn into_parts(self) -> (ColumnDataType, Option<ColumnDataTypeExtension>) {
(self.datatype, self.datatype_ext)
}
}
impl From<ColumnDataTypeWrapper> for ConcreteDataType {
@@ -126,6 +129,7 @@ impl From<ColumnDataTypeWrapper> for ConcreteDataType {
};
ConcreteDataType::json_native_datatype(inner_type.into())
}
None => ConcreteDataType::Json(JsonType::null()),
_ => {
// invalid state, type extension is missing or invalid
ConcreteDataType::null_datatype()
@@ -215,6 +219,26 @@ impl From<ColumnDataTypeWrapper> for ConcreteDataType {
ConcreteDataType::null_datatype()
}
}
ColumnDataType::Dictionary => {
if let Some(TypeExt::DictionaryType(d)) = datatype_wrapper
.datatype_ext
.as_ref()
.and_then(|datatype_ext| datatype_ext.type_ext.as_ref())
{
let key_type = ColumnDataTypeWrapper {
datatype: d.key_datatype(),
datatype_ext: d.key_datatype_extension.clone().map(|ext| *ext),
};
let value_type = ColumnDataTypeWrapper {
datatype: d.value_datatype(),
datatype_ext: d.value_datatype_extension.clone().map(|ext| *ext),
};
ConcreteDataType::dictionary_datatype(key_type.into(), value_type.into())
} else {
// invalid state: type extension not found
ConcreteDataType::null_datatype()
}
}
}
}
}
@@ -338,13 +362,30 @@ impl ColumnDataTypeWrapper {
}),
}
}
pub fn dictionary_datatype(
key_type: ColumnDataTypeWrapper,
value_type: ColumnDataTypeWrapper,
) -> Self {
ColumnDataTypeWrapper {
datatype: ColumnDataType::Dictionary,
datatype_ext: Some(ColumnDataTypeExtension {
type_ext: Some(TypeExt::DictionaryType(Box::new(DictionaryTypeExtension {
key_datatype: key_type.datatype().into(),
key_datatype_extension: key_type.datatype_ext.map(Box::new),
value_datatype: value_type.datatype().into(),
value_datatype_extension: value_type.datatype_ext.map(Box::new),
}))),
}),
}
}
}
impl TryFrom<ConcreteDataType> for ColumnDataTypeWrapper {
type Error = error::Error;
fn try_from(datatype: ConcreteDataType) -> Result<Self> {
let column_datatype = match datatype {
let column_datatype = match &datatype {
ConcreteDataType::Boolean(_) => ColumnDataType::Boolean,
ConcreteDataType::Int8(_) => ColumnDataType::Int8,
ConcreteDataType::Int16(_) => ColumnDataType::Int16,
@@ -381,9 +422,8 @@ impl TryFrom<ConcreteDataType> for ColumnDataTypeWrapper {
ConcreteDataType::Vector(_) => ColumnDataType::Vector,
ConcreteDataType::List(_) => ColumnDataType::List,
ConcreteDataType::Struct(_) => ColumnDataType::Struct,
ConcreteDataType::Null(_)
| ConcreteDataType::Dictionary(_)
| ConcreteDataType::Duration(_) => {
ConcreteDataType::Dictionary(_) => ColumnDataType::Dictionary,
ConcreteDataType::Null(_) | ConcreteDataType::Duration(_) => {
return error::IntoColumnDataTypeSnafu { from: datatype }.fail();
}
};
@@ -404,18 +444,24 @@ impl TryFrom<ConcreteDataType> for ColumnDataTypeWrapper {
JsonFormat::Jsonb => Some(ColumnDataTypeExtension {
type_ext: Some(TypeExt::JsonType(JsonTypeExtension::JsonBinary.into())),
}),
JsonFormat::Native(inner) => {
let inner_type = ColumnDataTypeWrapper::try_from(*inner.clone())?;
JsonFormat::Native(native_type) => {
if native_type.is_null() {
None
} else {
let native_type = ConcreteDataType::from(native_type.as_ref());
let (datatype, datatype_extension) =
ColumnDataTypeWrapper::try_from(native_type)?.into_parts();
Some(ColumnDataTypeExtension {
type_ext: Some(TypeExt::JsonNativeType(Box::new(
JsonNativeTypeExtension {
datatype: inner_type.datatype.into(),
datatype_extension: inner_type.datatype_ext.map(Box::new),
datatype: datatype as i32,
datatype_extension: datatype_extension.map(Box::new),
},
))),
})
}
}
}
} else {
None
}
@@ -463,6 +509,25 @@ impl TryFrom<ConcreteDataType> for ColumnDataTypeWrapper {
None
}
}
ColumnDataType::Dictionary => {
if let ConcreteDataType::Dictionary(dict_type) = &datatype {
let key_type = ColumnDataTypeWrapper::try_from(dict_type.key_type().clone())?;
let value_type =
ColumnDataTypeWrapper::try_from(dict_type.value_type().clone())?;
Some(ColumnDataTypeExtension {
type_ext: Some(TypeExt::DictionaryType(Box::new(
DictionaryTypeExtension {
key_datatype: key_type.datatype.into(),
key_datatype_extension: key_type.datatype_ext.map(Box::new),
value_datatype: value_type.datatype.into(),
value_datatype_extension: value_type.datatype_ext.map(Box::new),
},
))),
})
} else {
None
}
}
_ => None,
};
Ok(Self {
@@ -601,6 +666,9 @@ pub fn values_with_capacity(datatype: ColumnDataType, capacity: usize) -> Values
struct_values: Vec::with_capacity(capacity),
..Default::default()
},
ColumnDataType::Dictionary => Values {
..Default::default()
},
}
}
@@ -801,21 +869,8 @@ pub fn pb_value_to_value_ref<'a>(
}
ValueData::JsonValue(inner_value) => {
let json_datatype_ext = datatype_ext
.as_ref()
.and_then(|ext| {
if let Some(TypeExt::JsonNativeType(l)) = &ext.type_ext {
Some(l)
} else {
None
}
})
.expect("json value must contain datatype ext");
ValueRef::Json(Box::new(pb_value_to_value_ref(
inner_value,
json_datatype_ext.datatype_extension.as_deref(),
)))
let value = decode_json_value(inner_value);
ValueRef::Json(Box::new(value))
}
}
}
@@ -839,125 +894,64 @@ pub fn is_column_type_value_eq(
.unwrap_or(false)
}
/// Convert value into proto's value.
pub fn to_proto_value(value: Value) -> v1::Value {
match value {
Value::Null => v1::Value { value_data: None },
Value::Boolean(v) => v1::Value {
value_data: Some(ValueData::BoolValue(v)),
},
Value::UInt8(v) => v1::Value {
value_data: Some(ValueData::U8Value(v.into())),
},
Value::UInt16(v) => v1::Value {
value_data: Some(ValueData::U16Value(v.into())),
},
Value::UInt32(v) => v1::Value {
value_data: Some(ValueData::U32Value(v)),
},
Value::UInt64(v) => v1::Value {
value_data: Some(ValueData::U64Value(v)),
},
Value::Int8(v) => v1::Value {
value_data: Some(ValueData::I8Value(v.into())),
},
Value::Int16(v) => v1::Value {
value_data: Some(ValueData::I16Value(v.into())),
},
Value::Int32(v) => v1::Value {
value_data: Some(ValueData::I32Value(v)),
},
Value::Int64(v) => v1::Value {
value_data: Some(ValueData::I64Value(v)),
},
Value::Float32(v) => v1::Value {
value_data: Some(ValueData::F32Value(*v)),
},
Value::Float64(v) => v1::Value {
value_data: Some(ValueData::F64Value(*v)),
},
Value::String(v) => v1::Value {
value_data: Some(ValueData::StringValue(v.as_utf8().to_string())),
},
Value::Binary(v) => v1::Value {
value_data: Some(ValueData::BinaryValue(v.to_vec())),
},
Value::Date(v) => v1::Value {
value_data: Some(ValueData::DateValue(v.val())),
},
Value::Timestamp(v) => match v.unit() {
TimeUnit::Second => v1::Value {
value_data: Some(ValueData::TimestampSecondValue(v.value())),
},
TimeUnit::Millisecond => v1::Value {
value_data: Some(ValueData::TimestampMillisecondValue(v.value())),
},
TimeUnit::Microsecond => v1::Value {
value_data: Some(ValueData::TimestampMicrosecondValue(v.value())),
},
TimeUnit::Nanosecond => v1::Value {
value_data: Some(ValueData::TimestampNanosecondValue(v.value())),
},
},
Value::Time(v) => match v.unit() {
TimeUnit::Second => v1::Value {
value_data: Some(ValueData::TimeSecondValue(v.value())),
},
TimeUnit::Millisecond => v1::Value {
value_data: Some(ValueData::TimeMillisecondValue(v.value())),
},
TimeUnit::Microsecond => v1::Value {
value_data: Some(ValueData::TimeMicrosecondValue(v.value())),
},
TimeUnit::Nanosecond => v1::Value {
value_data: Some(ValueData::TimeNanosecondValue(v.value())),
},
},
Value::IntervalYearMonth(v) => v1::Value {
value_data: Some(ValueData::IntervalYearMonthValue(v.to_i32())),
},
Value::IntervalDayTime(v) => v1::Value {
value_data: Some(ValueData::IntervalDayTimeValue(v.to_i64())),
},
Value::IntervalMonthDayNano(v) => v1::Value {
value_data: Some(ValueData::IntervalMonthDayNanoValue(
convert_month_day_nano_to_pb(v),
)),
},
Value::Decimal128(v) => v1::Value {
value_data: Some(ValueData::Decimal128Value(convert_to_pb_decimal128(v))),
},
Value::List(list_value) => v1::Value {
value_data: Some(ValueData::ListValue(v1::ListValue {
items: convert_list_to_pb_values(list_value),
fn encode_json_value(value: JsonValue) -> v1::JsonValue {
fn helper(json: JsonVariant) -> v1::JsonValue {
let value = match json {
JsonVariant::Null => None,
JsonVariant::Bool(x) => Some(json_value::Value::Boolean(x)),
JsonVariant::Number(x) => Some(match x {
JsonNumber::PosInt(i) => json_value::Value::Uint(i),
JsonNumber::NegInt(i) => json_value::Value::Int(i),
JsonNumber::Float(f) => json_value::Value::Float(f.0),
}),
JsonVariant::String(x) => Some(json_value::Value::Str(x)),
JsonVariant::Array(x) => Some(json_value::Value::Array(JsonList {
items: x.into_iter().map(helper).collect::<Vec<_>>(),
})),
},
Value::Struct(struct_value) => v1::Value {
value_data: Some(ValueData::StructValue(v1::StructValue {
items: convert_struct_to_pb_values(struct_value),
})),
},
Value::Json(v) => v1::Value {
value_data: Some(ValueData::JsonValue(Box::new(to_proto_value(*v)))),
},
Value::Duration(_) => v1::Value { value_data: None },
JsonVariant::Object(x) => {
let entries = x
.into_iter()
.map(|(key, v)| v1::json_object::Entry {
key,
value: Some(helper(v)),
})
.collect::<Vec<_>>();
Some(json_value::Value::Object(JsonObject { entries }))
}
};
v1::JsonValue { value }
}
helper(value.into_variant())
}
fn convert_list_to_pb_values(list_value: ListValue) -> Vec<v1::Value> {
list_value
.take_items()
.into_iter()
.map(to_proto_value)
.collect()
}
fn convert_struct_to_pb_values(struct_value: StructValue) -> Vec<v1::Value> {
struct_value
.take_items()
.into_iter()
.map(to_proto_value)
.collect()
fn decode_json_value(value: &v1::JsonValue) -> JsonValueRef<'_> {
let Some(value) = &value.value else {
return JsonValueRef::null();
};
match value {
json_value::Value::Boolean(x) => (*x).into(),
json_value::Value::Int(x) => (*x).into(),
json_value::Value::Uint(x) => (*x).into(),
json_value::Value::Float(x) => (*x).into(),
json_value::Value::Str(x) => (x.as_str()).into(),
json_value::Value::Array(array) => array
.items
.iter()
.map(|x| decode_json_value(x).into_variant())
.collect::<Vec<_>>()
.into(),
json_value::Value::Object(x) => x
.entries
.iter()
.filter_map(|entry| {
entry
.value
.as_ref()
.map(|v| (entry.key.as_str(), decode_json_value(v).into_variant()))
})
.collect::<BTreeMap<_, _>>()
.into(),
}
}
/// Returns the [ColumnDataTypeWrapper] of the value.
@@ -1006,14 +1000,14 @@ pub fn vectors_to_rows<'a>(
let mut rows = vec![Row { values: vec![] }; row_count];
for column in columns {
for (row_index, row) in rows.iter_mut().enumerate() {
row.values.push(value_to_grpc_value(column.get(row_index)))
row.values.push(to_grpc_value(column.get(row_index)))
}
}
rows
}
pub fn value_to_grpc_value(value: Value) -> GrpcValue {
pub fn to_grpc_value(value: Value) -> GrpcValue {
GrpcValue {
value_data: match value {
Value::Null => None,
@@ -1053,7 +1047,7 @@ pub fn value_to_grpc_value(value: Value) -> GrpcValue {
let items = list_value
.take_items()
.into_iter()
.map(value_to_grpc_value)
.map(to_grpc_value)
.collect();
Some(ValueData::ListValue(v1::ListValue { items }))
}
@@ -1061,13 +1055,11 @@ pub fn value_to_grpc_value(value: Value) -> GrpcValue {
let items = struct_value
.take_items()
.into_iter()
.map(value_to_grpc_value)
.map(to_grpc_value)
.collect();
Some(ValueData::StructValue(v1::StructValue { items }))
}
Value::Json(inner_value) => Some(ValueData::JsonValue(Box::new(value_to_grpc_value(
*inner_value,
)))),
Value::Json(v) => Some(ValueData::JsonValue(encode_json_value(*v))),
Value::Duration(_) => unreachable!(),
},
}
@@ -1163,6 +1155,7 @@ mod tests {
use common_time::interval::IntervalUnit;
use datatypes::scalars::ScalarVector;
use datatypes::types::{Int8Type, Int32Type, UInt8Type, UInt32Type};
use datatypes::value::{ListValue, StructValue};
use datatypes::vectors::{
BooleanVector, DateVector, Float32Vector, PrimitiveVector, StringVector,
};
@@ -1259,6 +1252,9 @@ mod tests {
let values = values_with_capacity(ColumnDataType::Json, 2);
assert_eq!(2, values.json_values.capacity());
assert_eq!(2, values.string_values.capacity());
let values = values_with_capacity(ColumnDataType::Dictionary, 2);
assert!(values.bool_values.is_empty());
}
#[test]
@@ -1355,6 +1351,17 @@ mod tests {
ConcreteDataType::list_datatype(Arc::new(ConcreteDataType::string_datatype())),
ColumnDataTypeWrapper::list_datatype(ColumnDataTypeWrapper::string_datatype()).into()
);
assert_eq!(
ConcreteDataType::dictionary_datatype(
ConcreteDataType::int32_datatype(),
ConcreteDataType::string_datatype()
),
ColumnDataTypeWrapper::dictionary_datatype(
ColumnDataTypeWrapper::int32_datatype(),
ColumnDataTypeWrapper::string_datatype()
)
.into()
);
let struct_type = StructType::new(Arc::new(vec![
StructField::new("id".to_string(), ConcreteDataType::int64_datatype(), true),
StructField::new(
@@ -1525,6 +1532,18 @@ mod tests {
ColumnDataTypeWrapper::vector_datatype(3),
ConcreteDataType::vector_datatype(3).try_into().unwrap()
);
assert_eq!(
ColumnDataTypeWrapper::dictionary_datatype(
ColumnDataTypeWrapper::int32_datatype(),
ColumnDataTypeWrapper::string_datatype()
),
ConcreteDataType::dictionary_datatype(
ConcreteDataType::int32_datatype(),
ConcreteDataType::string_datatype()
)
.try_into()
.unwrap()
);
let result: Result<ColumnDataTypeWrapper> = ConcreteDataType::null_datatype().try_into();
assert!(result.is_err());
@@ -1580,6 +1599,20 @@ mod tests {
datatype_extension: Some(Box::new(ColumnDataTypeExtension {
type_ext: Some(TypeExt::StructType(StructTypeExtension {
fields: vec![
v1::StructField {
name: "address".to_string(),
datatype: ColumnDataTypeWrapper::string_datatype()
.datatype()
.into(),
datatype_extension: None
},
v1::StructField {
name: "age".to_string(),
datatype: ColumnDataTypeWrapper::int64_datatype()
.datatype()
.into(),
datatype_extension: None
},
v1::StructField {
name: "id".to_string(),
datatype: ColumnDataTypeWrapper::int64_datatype()
@@ -1594,20 +1627,6 @@ mod tests {
.into(),
datatype_extension: None
},
v1::StructField {
name: "age".to_string(),
datatype: ColumnDataTypeWrapper::int32_datatype()
.datatype()
.into(),
datatype_extension: None
},
v1::StructField {
name: "address".to_string(),
datatype: ColumnDataTypeWrapper::string_datatype()
.datatype()
.into(),
datatype_extension: None
}
]
}))
}))
@@ -1740,7 +1759,7 @@ mod tests {
Arc::new(ConcreteDataType::boolean_datatype()),
));
let pb_value = to_proto_value(value);
let pb_value = to_grpc_value(value);
match pb_value.value_data.unwrap() {
ValueData::ListValue(pb_list_value) => {
@@ -1769,7 +1788,7 @@ mod tests {
.unwrap(),
);
let pb_value = to_proto_value(value);
let pb_value = to_grpc_value(value);
match pb_value.value_data.unwrap() {
ValueData::StructValue(pb_struct_value) => {
@@ -1778,4 +1797,199 @@ mod tests {
_ => panic!("Unexpected value type"),
}
}
#[test]
fn test_encode_decode_json_value() {
let json = JsonValue::null();
let proto = encode_json_value(json.clone());
assert!(proto.value.is_none());
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = true.into();
let proto = encode_json_value(json.clone());
assert_eq!(proto.value, Some(json_value::Value::Boolean(true)));
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = (-1i64).into();
let proto = encode_json_value(json.clone());
assert_eq!(proto.value, Some(json_value::Value::Int(-1)));
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = 1u64.into();
let proto = encode_json_value(json.clone());
assert_eq!(proto.value, Some(json_value::Value::Uint(1)));
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = 1.0f64.into();
let proto = encode_json_value(json.clone());
assert_eq!(proto.value, Some(json_value::Value::Float(1.0)));
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = "s".into();
let proto = encode_json_value(json.clone());
assert_eq!(proto.value, Some(json_value::Value::Str("s".to_string())));
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = [1i64, 2, 3].into();
let proto = encode_json_value(json.clone());
assert_eq!(
proto.value,
Some(json_value::Value::Array(JsonList {
items: vec![
v1::JsonValue {
value: Some(json_value::Value::Int(1))
},
v1::JsonValue {
value: Some(json_value::Value::Int(2))
},
v1::JsonValue {
value: Some(json_value::Value::Int(3))
}
]
}))
);
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = [(); 0].into();
let proto = encode_json_value(json.clone());
assert_eq!(
proto.value,
Some(json_value::Value::Array(JsonList { items: vec![] }))
);
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = [("k3", 3i64), ("k2", 2i64), ("k1", 1i64)].into();
let proto = encode_json_value(json.clone());
assert_eq!(
proto.value,
Some(json_value::Value::Object(JsonObject {
entries: vec![
v1::json_object::Entry {
key: "k1".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Int(1))
}),
},
v1::json_object::Entry {
key: "k2".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Int(2))
}),
},
v1::json_object::Entry {
key: "k3".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Int(3))
}),
},
]
}))
);
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = [("null", ()); 0].into();
let proto = encode_json_value(json.clone());
assert_eq!(
proto.value,
Some(json_value::Value::Object(JsonObject { entries: vec![] }))
);
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
let json: JsonValue = [
("null", JsonVariant::from(())),
("bool", false.into()),
("list", ["hello", "world"].into()),
(
"object",
[
("positive_i", JsonVariant::from(42u64)),
("negative_i", (-42i64).into()),
("nested", [("what", "blah")].into()),
]
.into(),
),
]
.into();
let proto = encode_json_value(json.clone());
assert_eq!(
proto.value,
Some(json_value::Value::Object(JsonObject {
entries: vec![
v1::json_object::Entry {
key: "bool".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Boolean(false))
}),
},
v1::json_object::Entry {
key: "list".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Array(JsonList {
items: vec![
v1::JsonValue {
value: Some(json_value::Value::Str("hello".to_string()))
},
v1::JsonValue {
value: Some(json_value::Value::Str("world".to_string()))
},
]
}))
}),
},
v1::json_object::Entry {
key: "null".to_string(),
value: Some(v1::JsonValue { value: None }),
},
v1::json_object::Entry {
key: "object".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Object(JsonObject {
entries: vec![
v1::json_object::Entry {
key: "negative_i".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Int(-42))
}),
},
v1::json_object::Entry {
key: "nested".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Object(JsonObject {
entries: vec![v1::json_object::Entry {
key: "what".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Str(
"blah".to_string()
))
}),
},]
}))
}),
},
v1::json_object::Entry {
key: "positive_i".to_string(),
value: Some(v1::JsonValue {
value: Some(json_value::Value::Uint(42))
}),
},
]
}))
}),
},
]
}))
);
let value = decode_json_value(&proto);
assert_eq!(json.as_ref(), value);
}
}

View File

@@ -14,6 +14,7 @@
use std::collections::HashMap;
use arrow_schema::extension::{EXTENSION_TYPE_METADATA_KEY, EXTENSION_TYPE_NAME_KEY};
use datatypes::schema::{
COMMENT_KEY, ColumnDefaultConstraint, ColumnSchema, FULLTEXT_KEY, FulltextAnalyzer,
FulltextBackend, FulltextOptions, INVERTED_INDEX_KEY, SKIPPING_INDEX_KEY, SkippingIndexOptions,
@@ -68,6 +69,15 @@ pub fn try_as_column_schema(column_def: &ColumnDef) -> Result<ColumnSchema> {
if let Some(skipping_index) = options.options.get(SKIPPING_INDEX_GRPC_KEY) {
metadata.insert(SKIPPING_INDEX_KEY.to_string(), skipping_index.to_owned());
}
if let Some(extension_name) = options.options.get(EXTENSION_TYPE_NAME_KEY) {
metadata.insert(EXTENSION_TYPE_NAME_KEY.to_string(), extension_name.clone());
}
if let Some(extension_metadata) = options.options.get(EXTENSION_TYPE_METADATA_KEY) {
metadata.insert(
EXTENSION_TYPE_METADATA_KEY.to_string(),
extension_metadata.clone(),
);
}
}
ColumnSchema::new(&column_def.name, data_type.into(), column_def.is_nullable)
@@ -139,6 +149,17 @@ pub fn options_from_column_schema(column_schema: &ColumnSchema) -> Option<Column
.options
.insert(SKIPPING_INDEX_GRPC_KEY.to_string(), skipping_index.clone());
}
if let Some(extension_name) = column_schema.metadata().get(EXTENSION_TYPE_NAME_KEY) {
options
.options
.insert(EXTENSION_TYPE_NAME_KEY.to_string(), extension_name.clone());
}
if let Some(extension_metadata) = column_schema.metadata().get(EXTENSION_TYPE_METADATA_KEY) {
options.options.insert(
EXTENSION_TYPE_METADATA_KEY.to_string(),
extension_metadata.clone(),
);
}
(!options.options.is_empty()).then_some(options)
}

View File

@@ -5,7 +5,6 @@ edition.workspace = true
license.workspace = true
[features]
enterprise = []
testing = []
[lints]

View File

@@ -12,13 +12,14 @@
// See the License for the specific language governing permissions and
// limitations under the License.
pub use client::{CachedKvBackend, CachedKvBackendBuilder, MetaKvBackend};
mod builder;
mod client;
mod manager;
mod table_cache;
pub use builder::KvBackendCatalogManagerBuilder;
pub use builder::{
CatalogManagerConfigurator, CatalogManagerConfiguratorRef, KvBackendCatalogManagerBuilder,
};
pub use client::{CachedKvBackend, CachedKvBackendBuilder, MetaKvBackend};
pub use manager::KvBackendCatalogManager;
pub use table_cache::{TableCache, TableCacheRef, new_table_cache};

View File

@@ -12,9 +12,11 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use std::collections::HashMap;
use std::sync::Arc;
use common_catalog::consts::DEFAULT_CATALOG_NAME;
use common_error::ext::BoxedError;
use common_meta::cache::LayeredCacheRegistryRef;
use common_meta::key::TableMetadataManager;
use common_meta::key::flow::FlowMetadataManager;
@@ -23,23 +25,34 @@ use common_procedure::ProcedureManagerRef;
use moka::sync::Cache;
use partition::manager::PartitionRuleManager;
#[cfg(feature = "enterprise")]
use crate::information_schema::InformationSchemaTableFactoryRef;
use crate::information_schema::{InformationExtensionRef, InformationSchemaProvider};
use crate::information_schema::{
InformationExtensionRef, InformationSchemaProvider, InformationSchemaTableFactoryRef,
};
use crate::kvbackend::KvBackendCatalogManager;
use crate::kvbackend::manager::{CATALOG_CACHE_MAX_CAPACITY, SystemCatalog};
use crate::process_manager::ProcessManagerRef;
use crate::system_schema::numbers_table_provider::NumbersTableProvider;
use crate::system_schema::pg_catalog::PGCatalogProvider;
/// The configurator that customizes or enhances the [`KvBackendCatalogManagerBuilder`].
#[async_trait::async_trait]
pub trait CatalogManagerConfigurator<C>: Send + Sync {
async fn configure(
&self,
builder: KvBackendCatalogManagerBuilder,
ctx: C,
) -> std::result::Result<KvBackendCatalogManagerBuilder, BoxedError>;
}
pub type CatalogManagerConfiguratorRef<C> = Arc<dyn CatalogManagerConfigurator<C>>;
pub struct KvBackendCatalogManagerBuilder {
information_extension: InformationExtensionRef,
backend: KvBackendRef,
cache_registry: LayeredCacheRegistryRef,
procedure_manager: Option<ProcedureManagerRef>,
process_manager: Option<ProcessManagerRef>,
#[cfg(feature = "enterprise")]
extra_information_table_factories:
std::collections::HashMap<String, InformationSchemaTableFactoryRef>,
extra_information_table_factories: HashMap<String, InformationSchemaTableFactoryRef>,
}
impl KvBackendCatalogManagerBuilder {
@@ -54,8 +67,7 @@ impl KvBackendCatalogManagerBuilder {
cache_registry,
procedure_manager: None,
process_manager: None,
#[cfg(feature = "enterprise")]
extra_information_table_factories: std::collections::HashMap::new(),
extra_information_table_factories: HashMap::new(),
}
}
@@ -70,10 +82,9 @@ impl KvBackendCatalogManagerBuilder {
}
/// Sets the extra information tables.
#[cfg(feature = "enterprise")]
pub fn with_extra_information_table_factories(
mut self,
factories: std::collections::HashMap<String, InformationSchemaTableFactoryRef>,
factories: HashMap<String, InformationSchemaTableFactoryRef>,
) -> Self {
self.extra_information_table_factories = factories;
self
@@ -86,7 +97,6 @@ impl KvBackendCatalogManagerBuilder {
cache_registry,
procedure_manager,
process_manager,
#[cfg(feature = "enterprise")]
extra_information_table_factories,
} = self;
Arc::new_cyclic(|me| KvBackendCatalogManager {
@@ -110,7 +120,6 @@ impl KvBackendCatalogManagerBuilder {
process_manager.clone(),
backend.clone(),
);
#[cfg(feature = "enterprise")]
let provider = provider
.with_extra_table_factories(extra_information_table_factories.clone());
Arc::new(provider)
@@ -119,9 +128,9 @@ impl KvBackendCatalogManagerBuilder {
DEFAULT_CATALOG_NAME.to_string(),
me.clone(),
)),
numbers_table_provider: NumbersTableProvider,
backend,
process_manager,
#[cfg(feature = "enterprise")]
extra_information_table_factories,
},
cache_registry,

View File

@@ -18,8 +18,7 @@ use std::sync::{Arc, Weak};
use async_stream::try_stream;
use common_catalog::consts::{
DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME, INFORMATION_SCHEMA_NAME, NUMBERS_TABLE_ID,
PG_CATALOG_NAME,
DEFAULT_CATALOG_NAME, DEFAULT_SCHEMA_NAME, INFORMATION_SCHEMA_NAME, PG_CATALOG_NAME,
};
use common_error::ext::BoxedError;
use common_meta::cache::{
@@ -45,7 +44,6 @@ use table::TableRef;
use table::dist_table::DistTable;
use table::metadata::{TableId, TableInfoRef};
use table::table::PartitionRules;
use table::table::numbers::{NUMBERS_TABLE_NAME, NumbersTable};
use table::table_name::TableName;
use tokio::sync::Semaphore;
use tokio_stream::wrappers::ReceiverStream;
@@ -55,12 +53,13 @@ use crate::error::{
CacheNotFoundSnafu, GetTableCacheSnafu, InvalidTableInfoInCatalogSnafu, ListCatalogsSnafu,
ListSchemasSnafu, ListTablesSnafu, Result, TableMetadataManagerSnafu,
};
#[cfg(feature = "enterprise")]
use crate::information_schema::InformationSchemaTableFactoryRef;
use crate::information_schema::{InformationExtensionRef, InformationSchemaProvider};
use crate::information_schema::{
InformationExtensionRef, InformationSchemaProvider, InformationSchemaTableFactoryRef,
};
use crate::kvbackend::TableCacheRef;
use crate::process_manager::ProcessManagerRef;
use crate::system_schema::SystemSchemaProvider;
use crate::system_schema::numbers_table_provider::NumbersTableProvider;
use crate::system_schema::pg_catalog::PGCatalogProvider;
/// Access all existing catalog, schema and tables.
@@ -555,9 +554,9 @@ pub(super) struct SystemCatalog {
// system_schema_provider for default catalog
pub(super) information_schema_provider: Arc<InformationSchemaProvider>,
pub(super) pg_catalog_provider: Arc<PGCatalogProvider>,
pub(super) numbers_table_provider: NumbersTableProvider,
pub(super) backend: KvBackendRef,
pub(super) process_manager: Option<ProcessManagerRef>,
#[cfg(feature = "enterprise")]
pub(super) extra_information_table_factories:
std::collections::HashMap<String, InformationSchemaTableFactoryRef>,
}
@@ -584,9 +583,7 @@ impl SystemCatalog {
PG_CATALOG_NAME if channel == Channel::Postgres => {
self.pg_catalog_provider.table_names()
}
DEFAULT_SCHEMA_NAME => {
vec![NUMBERS_TABLE_NAME.to_string()]
}
DEFAULT_SCHEMA_NAME => self.numbers_table_provider.table_names(),
_ => vec![],
}
}
@@ -604,7 +601,7 @@ impl SystemCatalog {
if schema == INFORMATION_SCHEMA_NAME {
self.information_schema_provider.table(table).is_some()
} else if schema == DEFAULT_SCHEMA_NAME {
table == NUMBERS_TABLE_NAME
self.numbers_table_provider.table_exists(table)
} else if schema == PG_CATALOG_NAME && channel == Channel::Postgres {
self.pg_catalog_provider.table(table).is_some()
} else {
@@ -630,7 +627,6 @@ impl SystemCatalog {
self.process_manager.clone(),
self.backend.clone(),
);
#[cfg(feature = "enterprise")]
let provider = provider
.with_extra_table_factories(self.extra_information_table_factories.clone());
Arc::new(provider)
@@ -649,8 +645,8 @@ impl SystemCatalog {
});
pg_catalog_provider.table(table_name)
}
} else if schema == DEFAULT_SCHEMA_NAME && table_name == NUMBERS_TABLE_NAME {
Some(NumbersTable::table(NUMBERS_TABLE_ID))
} else if schema == DEFAULT_SCHEMA_NAME {
self.numbers_table_provider.table(table_name)
} else {
None
}

View File

@@ -14,6 +14,7 @@
pub mod information_schema;
mod memory_table;
pub mod numbers_table_provider;
pub mod pg_catalog;
pub mod predicate;
mod utils;

View File

@@ -22,7 +22,6 @@ mod procedure_info;
pub mod process_list;
pub mod region_peers;
mod region_statistics;
mod runtime_metrics;
pub mod schemata;
mod ssts;
mod table_constraints;
@@ -65,7 +64,6 @@ use crate::system_schema::information_schema::information_memory_table::get_sche
use crate::system_schema::information_schema::key_column_usage::InformationSchemaKeyColumnUsage;
use crate::system_schema::information_schema::partitions::InformationSchemaPartitions;
use crate::system_schema::information_schema::region_peers::InformationSchemaRegionPeers;
use crate::system_schema::information_schema::runtime_metrics::InformationSchemaMetrics;
use crate::system_schema::information_schema::schemata::InformationSchemaSchemata;
use crate::system_schema::information_schema::ssts::{
InformationSchemaSstsIndexMeta, InformationSchemaSstsManifest, InformationSchemaSstsStorage,
@@ -97,7 +95,6 @@ lazy_static! {
ROUTINES,
SCHEMA_PRIVILEGES,
TABLE_PRIVILEGES,
TRIGGERS,
GLOBAL_STATUS,
SESSION_STATUS,
PARTITIONS,
@@ -120,7 +117,6 @@ macro_rules! setup_memory_table {
};
}
#[cfg(feature = "enterprise")]
pub struct MakeInformationTableRequest {
pub catalog_name: String,
pub catalog_manager: Weak<dyn CatalogManager>,
@@ -131,12 +127,10 @@ pub struct MakeInformationTableRequest {
///
/// This trait allows for extensibility of the information schema by providing
/// a way to dynamically create custom information schema tables.
#[cfg(feature = "enterprise")]
pub trait InformationSchemaTableFactory {
fn make_information_table(&self, req: MakeInformationTableRequest) -> SystemTableRef;
}
#[cfg(feature = "enterprise")]
pub type InformationSchemaTableFactoryRef = Arc<dyn InformationSchemaTableFactory + Send + Sync>;
/// The `information_schema` tables info provider.
@@ -146,9 +140,7 @@ pub struct InformationSchemaProvider {
process_manager: Option<ProcessManagerRef>,
flow_metadata_manager: Arc<FlowMetadataManager>,
tables: HashMap<String, TableRef>,
#[allow(dead_code)]
kv_backend: KvBackendRef,
#[cfg(feature = "enterprise")]
extra_table_factories: HashMap<String, InformationSchemaTableFactoryRef>,
}
@@ -169,7 +161,6 @@ impl SystemSchemaProviderInner for InformationSchemaProvider {
}
fn system_table(&self, name: &str) -> Option<SystemTableRef> {
#[cfg(feature = "enterprise")]
if let Some(factory) = self.extra_table_factories.get(name) {
let req = MakeInformationTableRequest {
catalog_name: self.catalog_name.clone(),
@@ -207,7 +198,6 @@ impl SystemSchemaProviderInner for InformationSchemaProvider {
ROUTINES => setup_memory_table!(ROUTINES),
SCHEMA_PRIVILEGES => setup_memory_table!(SCHEMA_PRIVILEGES),
TABLE_PRIVILEGES => setup_memory_table!(TABLE_PRIVILEGES),
TRIGGERS => setup_memory_table!(TRIGGERS),
GLOBAL_STATUS => setup_memory_table!(GLOBAL_STATUS),
SESSION_STATUS => setup_memory_table!(SESSION_STATUS),
KEY_COLUMN_USAGE => Some(Arc::new(InformationSchemaKeyColumnUsage::new(
@@ -218,7 +208,6 @@ impl SystemSchemaProviderInner for InformationSchemaProvider {
self.catalog_name.clone(),
self.catalog_manager.clone(),
)) as _),
RUNTIME_METRICS => Some(Arc::new(InformationSchemaMetrics::new())),
PARTITIONS => Some(Arc::new(InformationSchemaPartitions::new(
self.catalog_name.clone(),
self.catalog_manager.clone(),
@@ -286,7 +275,6 @@ impl InformationSchemaProvider {
process_manager,
tables: HashMap::new(),
kv_backend,
#[cfg(feature = "enterprise")]
extra_table_factories: HashMap::new(),
};
@@ -295,7 +283,6 @@ impl InformationSchemaProvider {
provider
}
#[cfg(feature = "enterprise")]
pub(crate) fn with_extra_table_factories(
mut self,
factories: HashMap<String, InformationSchemaTableFactoryRef>,
@@ -313,10 +300,6 @@ impl InformationSchemaProvider {
// authentication details, and other critical information.
// Only put these tables under `greptime` catalog to prevent info leak.
if self.catalog_name == DEFAULT_CATALOG_NAME {
tables.insert(
RUNTIME_METRICS.to_string(),
self.build_table(RUNTIME_METRICS).unwrap(),
);
tables.insert(
BUILD_INFO.to_string(),
self.build_table(BUILD_INFO).unwrap(),
@@ -367,7 +350,6 @@ impl InformationSchemaProvider {
if let Some(process_list) = self.build_table(PROCESS_LIST) {
tables.insert(PROCESS_LIST.to_string(), process_list);
}
#[cfg(feature = "enterprise")]
for name in self.extra_table_factories.keys() {
tables.insert(name.clone(), self.build_table(name).expect(name));
}

View File

@@ -33,7 +33,6 @@ use datatypes::timestamp::TimestampMillisecond;
use datatypes::value::Value;
use datatypes::vectors::{
Int64VectorBuilder, StringVectorBuilder, TimestampMillisecondVectorBuilder,
UInt32VectorBuilder, UInt64VectorBuilder,
};
use serde::Serialize;
use snafu::ResultExt;
@@ -53,6 +52,8 @@ const PEER_ADDR: &str = "peer_addr";
const PEER_HOSTNAME: &str = "peer_hostname";
const TOTAL_CPU_MILLICORES: &str = "total_cpu_millicores";
const TOTAL_MEMORY_BYTES: &str = "total_memory_bytes";
const CPU_USAGE_MILLICORES: &str = "cpu_usage_millicores";
const MEMORY_USAGE_BYTES: &str = "memory_usage_bytes";
const VERSION: &str = "version";
const GIT_COMMIT: &str = "git_commit";
const START_TIME: &str = "start_time";
@@ -67,15 +68,17 @@ const INIT_CAPACITY: usize = 42;
/// - `peer_id`: the peer server id.
/// - `peer_type`: the peer type, such as `datanode`, `frontend`, `metasrv` etc.
/// - `peer_addr`: the peer gRPC address.
/// - `peer_hostname`: the hostname of the peer.
/// - `total_cpu_millicores`: the total CPU millicores of the peer.
/// - `total_memory_bytes`: the total memory bytes of the peer.
/// - `cpu_usage_millicores`: the CPU usage millicores of the peer.
/// - `memory_usage_bytes`: the memory usage bytes of the peer.
/// - `version`: the build package version of the peer.
/// - `git_commit`: the build git commit hash of the peer.
/// - `start_time`: the starting time of the peer.
/// - `uptime`: the uptime of the peer.
/// - `active_time`: the time since the last activity of the peer.
/// - `node_status`: the status info of the peer.
/// - `peer_hostname`: the hostname of the peer.
///
#[derive(Debug)]
pub(super) struct InformationSchemaClusterInfo {
@@ -99,12 +102,22 @@ impl InformationSchemaClusterInfo {
ColumnSchema::new(PEER_HOSTNAME, ConcreteDataType::string_datatype(), true),
ColumnSchema::new(
TOTAL_CPU_MILLICORES,
ConcreteDataType::uint32_datatype(),
ConcreteDataType::int64_datatype(),
false,
),
ColumnSchema::new(
TOTAL_MEMORY_BYTES,
ConcreteDataType::uint64_datatype(),
ConcreteDataType::int64_datatype(),
false,
),
ColumnSchema::new(
CPU_USAGE_MILLICORES,
ConcreteDataType::int64_datatype(),
false,
),
ColumnSchema::new(
MEMORY_USAGE_BYTES,
ConcreteDataType::int64_datatype(),
false,
),
ColumnSchema::new(VERSION, ConcreteDataType::string_datatype(), false),
@@ -167,8 +180,10 @@ struct InformationSchemaClusterInfoBuilder {
peer_types: StringVectorBuilder,
peer_addrs: StringVectorBuilder,
peer_hostnames: StringVectorBuilder,
cpus: UInt32VectorBuilder,
memory_bytes: UInt64VectorBuilder,
total_cpu_millicores: Int64VectorBuilder,
total_memory_bytes: Int64VectorBuilder,
cpu_usage_millicores: Int64VectorBuilder,
memory_usage_bytes: Int64VectorBuilder,
versions: StringVectorBuilder,
git_commits: StringVectorBuilder,
start_times: TimestampMillisecondVectorBuilder,
@@ -186,8 +201,10 @@ impl InformationSchemaClusterInfoBuilder {
peer_types: StringVectorBuilder::with_capacity(INIT_CAPACITY),
peer_addrs: StringVectorBuilder::with_capacity(INIT_CAPACITY),
peer_hostnames: StringVectorBuilder::with_capacity(INIT_CAPACITY),
cpus: UInt32VectorBuilder::with_capacity(INIT_CAPACITY),
memory_bytes: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
total_cpu_millicores: Int64VectorBuilder::with_capacity(INIT_CAPACITY),
total_memory_bytes: Int64VectorBuilder::with_capacity(INIT_CAPACITY),
cpu_usage_millicores: Int64VectorBuilder::with_capacity(INIT_CAPACITY),
memory_usage_bytes: Int64VectorBuilder::with_capacity(INIT_CAPACITY),
versions: StringVectorBuilder::with_capacity(INIT_CAPACITY),
git_commits: StringVectorBuilder::with_capacity(INIT_CAPACITY),
start_times: TimestampMillisecondVectorBuilder::with_capacity(INIT_CAPACITY),
@@ -243,8 +260,14 @@ impl InformationSchemaClusterInfoBuilder {
self.start_times.push(None);
self.uptimes.push(None);
}
self.cpus.push(Some(node_info.cpus));
self.memory_bytes.push(Some(node_info.memory_bytes));
self.total_cpu_millicores
.push(Some(node_info.total_cpu_millicores));
self.total_memory_bytes
.push(Some(node_info.total_memory_bytes));
self.cpu_usage_millicores
.push(Some(node_info.cpu_usage_millicores));
self.memory_usage_bytes
.push(Some(node_info.memory_usage_bytes));
if node_info.last_activity_ts > 0 {
self.active_times.push(Some(
@@ -269,8 +292,10 @@ impl InformationSchemaClusterInfoBuilder {
Arc::new(self.peer_types.finish()),
Arc::new(self.peer_addrs.finish()),
Arc::new(self.peer_hostnames.finish()),
Arc::new(self.cpus.finish()),
Arc::new(self.memory_bytes.finish()),
Arc::new(self.total_cpu_millicores.finish()),
Arc::new(self.total_memory_bytes.finish()),
Arc::new(self.cpu_usage_millicores.finish()),
Arc::new(self.memory_usage_bytes.finish()),
Arc::new(self.versions.finish()),
Arc::new(self.git_commits.finish()),
Arc::new(self.start_times.finish()),

View File

@@ -15,8 +15,7 @@
use std::sync::Arc;
use common_catalog::consts::{METRIC_ENGINE, MITO_ENGINE};
use datatypes::data_type::ConcreteDataType;
use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
use datatypes::schema::{Schema, SchemaRef};
use datatypes::vectors::{Int64Vector, StringVector, VectorRef};
use crate::system_schema::information_schema::table_names::*;
@@ -366,16 +365,6 @@ pub(super) fn get_schema_columns(table_name: &str) -> (SchemaRef, Vec<VectorRef>
vec![],
),
TRIGGERS => (
vec![
string_column("TRIGGER_NAME"),
ColumnSchema::new("trigger_id", ConcreteDataType::uint64_datatype(), false),
string_column("TRIGGER_DEFINITION"),
ColumnSchema::new("flownode_id", ConcreteDataType::uint64_datatype(), true),
],
vec![],
),
// TODO: Considering store internal metrics in `global_status` and
// `session_status` tables.
GLOBAL_STATUS => (

View File

@@ -211,6 +211,7 @@ struct InformationSchemaPartitionsBuilder {
partition_names: StringVectorBuilder,
partition_ordinal_positions: Int64VectorBuilder,
partition_expressions: StringVectorBuilder,
partition_descriptions: StringVectorBuilder,
create_times: TimestampSecondVectorBuilder,
partition_ids: UInt64VectorBuilder,
}
@@ -231,6 +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),
partition_descriptions: StringVectorBuilder::with_capacity(INIT_CAPACITY),
create_times: TimestampSecondVectorBuilder::with_capacity(INIT_CAPACITY),
partition_ids: UInt64VectorBuilder::with_capacity(INIT_CAPACITY),
}
@@ -319,6 +321,21 @@ impl InformationSchemaPartitionsBuilder {
return;
}
// Get partition column names (shared by all partitions)
// In MySQL, PARTITION_EXPRESSION is the partitioning function expression (e.g., column name)
let partition_columns: String = table_info
.meta
.partition_column_names()
.cloned()
.collect::<Vec<_>>()
.join(", ");
let partition_expr_str = if partition_columns.is_empty() {
None
} else {
Some(partition_columns)
};
for (index, partition) in partitions.iter().enumerate() {
let partition_name = format!("p{index}");
@@ -328,8 +345,12 @@ impl InformationSchemaPartitionsBuilder {
self.partition_names.push(Some(&partition_name));
self.partition_ordinal_positions
.push(Some((index + 1) as i64));
let expression = partition.partition_expr.as_ref().map(|e| e.to_string());
self.partition_expressions.push(expression.as_deref());
// PARTITION_EXPRESSION: partition column names (same for all partitions)
self.partition_expressions
.push(partition_expr_str.as_deref());
// PARTITION_DESCRIPTION: partition boundary expression (different for each partition)
let description = partition.partition_expr.as_ref().map(|e| e.to_string());
self.partition_descriptions.push(description.as_deref());
self.create_times.push(Some(TimestampSecond::from(
table_info.meta.created_on.timestamp(),
)));
@@ -369,7 +390,7 @@ impl InformationSchemaPartitionsBuilder {
null_string_vector.clone(),
Arc::new(self.partition_expressions.finish()),
null_string_vector.clone(),
null_string_vector.clone(),
Arc::new(self.partition_descriptions.finish()),
// TODO(dennis): rows and index statistics info
null_i64_vector.clone(),
null_i64_vector.clone(),

View File

@@ -1,265 +0,0 @@
// Copyright 2023 Greptime Team
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::sync::Arc;
use arrow_schema::SchemaRef as ArrowSchemaRef;
use common_catalog::consts::INFORMATION_SCHEMA_RUNTIME_METRICS_TABLE_ID;
use common_error::ext::BoxedError;
use common_recordbatch::adapter::RecordBatchStreamAdapter;
use common_recordbatch::{RecordBatch, SendableRecordBatchStream};
use common_time::util::current_time_millis;
use datafusion::execution::TaskContext;
use datafusion::physical_plan::SendableRecordBatchStream as DfSendableRecordBatchStream;
use datafusion::physical_plan::stream::RecordBatchStreamAdapter as DfRecordBatchStreamAdapter;
use datafusion::physical_plan::streaming::PartitionStream as DfPartitionStream;
use datatypes::prelude::{ConcreteDataType, MutableVector};
use datatypes::scalars::ScalarVectorBuilder;
use datatypes::schema::{ColumnSchema, Schema, SchemaRef};
use datatypes::vectors::{
ConstantVector, Float64VectorBuilder, StringVectorBuilder, TimestampMillisecondVector,
VectorRef,
};
use itertools::Itertools;
use snafu::ResultExt;
use store_api::storage::{ScanRequest, TableId};
use crate::error::{CreateRecordBatchSnafu, InternalSnafu, Result};
use crate::system_schema::information_schema::{InformationTable, RUNTIME_METRICS};
#[derive(Debug)]
pub(super) struct InformationSchemaMetrics {
schema: SchemaRef,
}
const METRIC_NAME: &str = "metric_name";
const METRIC_VALUE: &str = "value";
const METRIC_LABELS: &str = "labels";
const PEER_ADDR: &str = "peer_addr";
const PEER_TYPE: &str = "peer_type";
const TIMESTAMP: &str = "timestamp";
/// The `information_schema.runtime_metrics` virtual table.
/// It provides the GreptimeDB runtime metrics for the users by SQL.
impl InformationSchemaMetrics {
pub(super) fn new() -> Self {
Self {
schema: Self::schema(),
}
}
fn schema() -> SchemaRef {
Arc::new(Schema::new(vec![
ColumnSchema::new(METRIC_NAME, ConcreteDataType::string_datatype(), false),
ColumnSchema::new(METRIC_VALUE, ConcreteDataType::float64_datatype(), false),
ColumnSchema::new(METRIC_LABELS, ConcreteDataType::string_datatype(), true),
ColumnSchema::new(PEER_ADDR, ConcreteDataType::string_datatype(), true),
ColumnSchema::new(PEER_TYPE, ConcreteDataType::string_datatype(), false),
ColumnSchema::new(
TIMESTAMP,
ConcreteDataType::timestamp_millisecond_datatype(),
false,
),
]))
}
fn builder(&self) -> InformationSchemaMetricsBuilder {
InformationSchemaMetricsBuilder::new(self.schema.clone())
}
}
impl InformationTable for InformationSchemaMetrics {
fn table_id(&self) -> TableId {
INFORMATION_SCHEMA_RUNTIME_METRICS_TABLE_ID
}
fn table_name(&self) -> &'static str {
RUNTIME_METRICS
}
fn schema(&self) -> SchemaRef {
self.schema.clone()
}
fn to_stream(&self, request: ScanRequest) -> Result<SendableRecordBatchStream> {
let schema = self.schema.arrow_schema().clone();
let mut builder = self.builder();
let stream = Box::pin(DfRecordBatchStreamAdapter::new(
schema,
futures::stream::once(async move {
builder
.make_metrics(Some(request))
.await
.map(|x| x.into_df_record_batch())
.map_err(Into::into)
}),
));
Ok(Box::pin(
RecordBatchStreamAdapter::try_new(stream)
.map_err(BoxedError::new)
.context(InternalSnafu)?,
))
}
}
struct InformationSchemaMetricsBuilder {
schema: SchemaRef,
metric_names: StringVectorBuilder,
metric_values: Float64VectorBuilder,
metric_labels: StringVectorBuilder,
peer_addrs: StringVectorBuilder,
peer_types: StringVectorBuilder,
}
impl InformationSchemaMetricsBuilder {
fn new(schema: SchemaRef) -> Self {
Self {
schema,
metric_names: StringVectorBuilder::with_capacity(42),
metric_values: Float64VectorBuilder::with_capacity(42),
metric_labels: StringVectorBuilder::with_capacity(42),
peer_addrs: StringVectorBuilder::with_capacity(42),
peer_types: StringVectorBuilder::with_capacity(42),
}
}
fn add_metric(
&mut self,
metric_name: &str,
labels: String,
metric_value: f64,
peer: Option<&str>,
peer_type: &str,
) {
self.metric_names.push(Some(metric_name));
self.metric_values.push(Some(metric_value));
self.metric_labels.push(Some(&labels));
self.peer_addrs.push(peer);
self.peer_types.push(Some(peer_type));
}
async fn make_metrics(&mut self, _request: Option<ScanRequest>) -> Result<RecordBatch> {
let metric_families = prometheus::gather();
let write_request =
common_telemetry::metric::convert_metric_to_write_request(metric_families, None, 0);
for ts in write_request.timeseries {
//Safety: always has `__name__` label
let metric_name = ts
.labels
.iter()
.find_map(|label| {
if label.name == "__name__" {
Some(label.value.clone())
} else {
None
}
})
.unwrap();
self.add_metric(
&metric_name,
ts.labels
.into_iter()
.filter_map(|label| {
if label.name == "__name__" {
None
} else {
Some(format!("{}={}", label.name, label.value))
}
})
.join(", "),
// Safety: always has a sample
ts.samples[0].value,
// The peer column is always `None` for standalone
None,
"STANDALONE",
);
}
// FIXME(dennis): fetching other peers metrics
self.finish()
}
fn finish(&mut self) -> Result<RecordBatch> {
let rows_num = self.metric_names.len();
let timestamps = Arc::new(ConstantVector::new(
Arc::new(TimestampMillisecondVector::from_slice([
current_time_millis(),
])),
rows_num,
));
let columns: Vec<VectorRef> = vec![
Arc::new(self.metric_names.finish()),
Arc::new(self.metric_values.finish()),
Arc::new(self.metric_labels.finish()),
Arc::new(self.peer_addrs.finish()),
Arc::new(self.peer_types.finish()),
timestamps,
];
RecordBatch::new(self.schema.clone(), columns).context(CreateRecordBatchSnafu)
}
}
impl DfPartitionStream for InformationSchemaMetrics {
fn schema(&self) -> &ArrowSchemaRef {
self.schema.arrow_schema()
}
fn execute(&self, _: Arc<TaskContext>) -> DfSendableRecordBatchStream {
let schema = self.schema.arrow_schema().clone();
let mut builder = self.builder();
Box::pin(DfRecordBatchStreamAdapter::new(
schema,
futures::stream::once(async move {
builder
.make_metrics(None)
.await
.map(|x| x.into_df_record_batch())
.map_err(Into::into)
}),
))
}
}
#[cfg(test)]
mod tests {
use common_recordbatch::RecordBatches;
use super::*;
#[tokio::test]
async fn test_make_metrics() {
let metrics = InformationSchemaMetrics::new();
let stream = metrics.to_stream(ScanRequest::default()).unwrap();
let batches = RecordBatches::try_collect(stream).await.unwrap();
let result_literal = batches.pretty_print().unwrap();
assert!(result_literal.contains(METRIC_NAME));
assert!(result_literal.contains(METRIC_VALUE));
assert!(result_literal.contains(METRIC_LABELS));
assert!(result_literal.contains(PEER_ADDR));
assert!(result_literal.contains(PEER_TYPE));
assert!(result_literal.contains(TIMESTAMP));
}
}

View File

@@ -38,7 +38,6 @@ pub const TABLE_PRIVILEGES: &str = "table_privileges";
pub const TRIGGERS: &str = "triggers";
pub const GLOBAL_STATUS: &str = "global_status";
pub const SESSION_STATUS: &str = "session_status";
pub const RUNTIME_METRICS: &str = "runtime_metrics";
pub const PARTITIONS: &str = "partitions";
pub const REGION_PEERS: &str = "region_peers";
pub const TABLE_CONSTRAINTS: &str = "table_constraints";

View File

@@ -12,7 +12,6 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use std::collections::HashSet;
use std::sync::{Arc, Weak};
use arrow_schema::SchemaRef as ArrowSchemaRef;
@@ -255,14 +254,17 @@ impl InformationSchemaTablesBuilder {
// TODO(dennis): `region_stats` API is not stable in distributed cluster because of network issue etc.
// But we don't want the statements such as `show tables` fail,
// so using `unwrap_or_else` here instead of `?` operator.
let region_stats = information_extension
let region_stats = {
let mut x = information_extension
.region_stats()
.await
.map_err(|e| {
error!(e; "Failed to call region_stats");
e
})
.unwrap_or_else(|_| vec![]);
.unwrap_or_else(|e| {
error!(e; "Failed to find region stats in information_schema, fallback to all empty");
vec![]
});
x.sort_unstable_by_key(|x| x.id);
x
};
for schema_name in catalog_manager.schema_names(&catalog_name, None).await? {
let mut stream = catalog_manager.tables(&catalog_name, &schema_name, None);
@@ -273,16 +275,16 @@ impl InformationSchemaTablesBuilder {
// TODO(dennis): make it working for metric engine
let table_region_stats =
if table_info.meta.engine == MITO_ENGINE || table_info.is_physical_table() {
let region_ids = table_info
table_info
.meta
.region_numbers
.iter()
.map(|n| RegionId::new(table_info.ident.table_id, *n))
.collect::<HashSet<_>>();
.flat_map(|region_id| {
region_stats
.iter()
.filter(|stat| region_ids.contains(&stat.id))
.binary_search_by_key(&region_id, |x| x.id)
.map(|i| &region_stats[i])
})
.collect::<Vec<_>>()
} else {
vec![]

View File

@@ -0,0 +1,59 @@
// 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.
#[cfg(any(test, feature = "testing", debug_assertions))]
use common_catalog::consts::NUMBERS_TABLE_ID;
use table::TableRef;
#[cfg(any(test, feature = "testing", debug_assertions))]
use table::table::numbers::NUMBERS_TABLE_NAME;
#[cfg(any(test, feature = "testing", debug_assertions))]
use table::table::numbers::NumbersTable;
// NumbersTableProvider is a dedicated provider for feature-gating the numbers table.
#[derive(Clone)]
pub struct NumbersTableProvider;
#[cfg(any(test, feature = "testing", debug_assertions))]
impl NumbersTableProvider {
pub(crate) fn table_exists(&self, name: &str) -> bool {
name == NUMBERS_TABLE_NAME
}
pub(crate) fn table_names(&self) -> Vec<String> {
vec![NUMBERS_TABLE_NAME.to_string()]
}
pub(crate) fn table(&self, name: &str) -> Option<TableRef> {
if name == NUMBERS_TABLE_NAME {
Some(NumbersTable::table(NUMBERS_TABLE_ID))
} else {
None
}
}
}
#[cfg(not(any(test, feature = "testing", debug_assertions)))]
impl NumbersTableProvider {
pub(crate) fn table_exists(&self, _name: &str) -> bool {
false
}
pub(crate) fn table_names(&self) -> Vec<String> {
vec![]
}
pub(crate) fn table(&self, _name: &str) -> Option<TableRef> {
None
}
}

View File

@@ -16,12 +16,15 @@ mod export;
mod import;
use clap::Subcommand;
use client::DEFAULT_CATALOG_NAME;
use common_error::ext::BoxedError;
use crate::Tool;
use crate::data::export::ExportCommand;
use crate::data::import::ImportCommand;
pub(crate) const COPY_PATH_PLACEHOLDER: &str = "<PATH/TO/FILES>";
/// Command for data operations including exporting data from and importing data into GreptimeDB.
#[derive(Subcommand)]
pub enum DataCommand {
@@ -37,3 +40,7 @@ impl DataCommand {
}
}
}
pub(crate) fn default_database() -> String {
format!("{DEFAULT_CATALOG_NAME}-*")
}

View File

@@ -30,6 +30,7 @@ use snafu::{OptionExt, ResultExt};
use tokio::sync::Semaphore;
use tokio::time::Instant;
use crate::data::{COPY_PATH_PLACEHOLDER, default_database};
use crate::database::{DatabaseClient, parse_proxy_opts};
use crate::error::{
EmptyResultSnafu, Error, OpenDalSnafu, OutputDirNotSetSnafu, Result, S3ConfigNotSetSnafu,
@@ -63,12 +64,20 @@ pub struct ExportCommand {
output_dir: Option<String>,
/// The name of the catalog to export.
#[clap(long, default_value = "greptime-*")]
#[clap(long, default_value_t = default_database())]
database: String,
/// Parallelism of the export.
#[clap(long, short = 'j', default_value = "1")]
export_jobs: usize,
/// The number of databases exported in parallel.
/// For example, if there are 20 databases and `db_parallelism` is 4,
/// 4 databases will be exported concurrently.
#[clap(long, short = 'j', default_value = "1", alias = "export-jobs")]
db_parallelism: usize,
/// The number of tables exported in parallel within a single database.
/// For example, if a database has 30 tables and `parallelism` is 8,
/// 8 tables will be exported concurrently.
#[clap(long, default_value = "4")]
table_parallelism: usize,
/// Max retry times for each job.
#[clap(long, default_value = "3")]
@@ -209,10 +218,11 @@ impl ExportCommand {
schema,
database_client,
output_dir: self.output_dir.clone(),
parallelism: self.export_jobs,
export_jobs: self.db_parallelism,
target: self.target.clone(),
start_time: self.start_time.clone(),
end_time: self.end_time.clone(),
parallelism: self.table_parallelism,
s3: self.s3,
ddl_local_dir: self.ddl_local_dir.clone(),
s3_bucket: self.s3_bucket.clone(),
@@ -250,10 +260,11 @@ pub struct Export {
schema: Option<String>,
database_client: DatabaseClient,
output_dir: Option<String>,
parallelism: usize,
export_jobs: usize,
target: ExportTarget,
start_time: Option<String>,
end_time: Option<String>,
parallelism: usize,
s3: bool,
ddl_local_dir: Option<String>,
s3_bucket: Option<String>,
@@ -463,7 +474,7 @@ impl Export {
async fn export_create_table(&self) -> Result<()> {
let timer = Instant::now();
let semaphore = Arc::new(Semaphore::new(self.parallelism));
let semaphore = Arc::new(Semaphore::new(self.export_jobs));
let db_names = self.get_db_names().await?;
let db_count = db_names.len();
let operator = Arc::new(self.build_prefer_fs_operator().await?);
@@ -624,13 +635,13 @@ impl Export {
async fn export_database_data(&self) -> Result<()> {
let timer = Instant::now();
let semaphore = Arc::new(Semaphore::new(self.parallelism));
let semaphore = Arc::new(Semaphore::new(self.export_jobs));
let db_names = self.get_db_names().await?;
let db_count = db_names.len();
let mut tasks = Vec::with_capacity(db_count);
let operator = Arc::new(self.build_operator().await?);
let fs_first_operator = Arc::new(self.build_prefer_fs_operator().await?);
let with_options = build_with_options(&self.start_time, &self.end_time);
let with_options = build_with_options(&self.start_time, &self.end_time, self.parallelism);
for schema in db_names {
let semaphore_moved = semaphore.clone();
@@ -667,11 +678,27 @@ impl Export {
);
// Create copy_from.sql file
let copy_database_from_sql = format!(
let copy_database_from_sql = {
let command_without_connection = format!(
r#"COPY DATABASE "{}"."{}" FROM '{}' WITH ({});"#,
export_self.catalog, schema, COPY_PATH_PLACEHOLDER, with_options_clone
);
if connection_part.is_empty() {
command_without_connection
} else {
let command_with_connection = format!(
r#"COPY DATABASE "{}"."{}" FROM '{}' WITH ({}){};"#,
export_self.catalog, schema, path, with_options_clone, connection_part
);
format!(
"-- {}\n{}",
command_with_connection, command_without_connection
)
}
};
let copy_from_path = export_self.get_file_path(&schema, "copy_from.sql");
export_self
.write_to_storage(
@@ -871,7 +898,11 @@ impl Tool for Export {
}
/// Builds the WITH options string for SQL commands, assuming consistent syntax across S3 and local exports.
fn build_with_options(start_time: &Option<String>, end_time: &Option<String>) -> String {
fn build_with_options(
start_time: &Option<String>,
end_time: &Option<String>,
parallelism: usize,
) -> String {
let mut options = vec!["format = 'parquet'".to_string()];
if let Some(start) = start_time {
options.push(format!("start_time = '{}'", start));
@@ -879,5 +910,6 @@ fn build_with_options(start_time: &Option<String>, end_time: &Option<String>) ->
if let Some(end) = end_time {
options.push(format!("end_time = '{}'", end));
}
options.push(format!("parallelism = {}", parallelism));
options.join(", ")
}

View File

@@ -21,12 +21,13 @@ use clap::{Parser, ValueEnum};
use common_catalog::consts::DEFAULT_SCHEMA_NAME;
use common_error::ext::BoxedError;
use common_telemetry::{error, info, warn};
use snafu::{OptionExt, ResultExt};
use snafu::{OptionExt, ResultExt, ensure};
use tokio::sync::Semaphore;
use tokio::time::Instant;
use crate::data::{COPY_PATH_PLACEHOLDER, default_database};
use crate::database::{DatabaseClient, parse_proxy_opts};
use crate::error::{Error, FileIoSnafu, Result, SchemaNotFoundSnafu};
use crate::error::{Error, FileIoSnafu, InvalidArgumentsSnafu, Result, SchemaNotFoundSnafu};
use crate::{Tool, database};
#[derive(Debug, Default, Clone, ValueEnum)]
@@ -52,12 +53,14 @@ pub struct ImportCommand {
input_dir: String,
/// The name of the catalog to import.
#[clap(long, default_value = "greptime-*")]
#[clap(long, default_value_t = default_database())]
database: String,
/// Parallelism of the import.
#[clap(long, short = 'j', default_value = "1")]
import_jobs: usize,
/// The number of databases imported in parallel.
/// For example, if there are 20 databases and `db_parallelism` is 4,
/// 4 databases will be imported concurrently.
#[clap(long, short = 'j', default_value = "1", alias = "import-jobs")]
db_parallelism: usize,
/// Max retry times for each job.
#[clap(long, default_value = "3")]
@@ -108,7 +111,7 @@ impl ImportCommand {
schema,
database_client,
input_dir: self.input_dir.clone(),
parallelism: self.import_jobs,
parallelism: self.db_parallelism,
target: self.target.clone(),
}))
}
@@ -147,12 +150,15 @@ impl Import {
let _permit = semaphore_moved.acquire().await.unwrap();
let database_input_dir = self.catalog_path().join(&schema);
let sql_file = database_input_dir.join(filename);
let sql = tokio::fs::read_to_string(sql_file)
let mut sql = tokio::fs::read_to_string(sql_file)
.await
.context(FileIoSnafu)?;
if sql.is_empty() {
if sql.trim().is_empty() {
info!("Empty `{filename}` {database_input_dir:?}");
} else {
if filename == "copy_from.sql" {
sql = self.rewrite_copy_database_sql(&schema, &sql)?;
}
let db = exec_db.unwrap_or(&schema);
self.database_client.sql(&sql, db).await?;
info!("Imported `{filename}` for database {schema}");
@@ -225,6 +231,57 @@ impl Import {
}
Ok(db_names)
}
fn rewrite_copy_database_sql(&self, schema: &str, sql: &str) -> Result<String> {
let target_location = self.build_copy_database_location(schema);
let escaped_location = target_location.replace('\'', "''");
let mut first_stmt_checked = false;
for line in sql.lines() {
let trimmed = line.trim_start();
if trimmed.is_empty() || trimmed.starts_with("--") {
continue;
}
ensure!(
trimmed.starts_with("COPY DATABASE"),
InvalidArgumentsSnafu {
msg: "Expected COPY DATABASE statement at start of copy_from.sql"
}
);
first_stmt_checked = true;
break;
}
ensure!(
first_stmt_checked,
InvalidArgumentsSnafu {
msg: "COPY DATABASE statement not found in copy_from.sql"
}
);
ensure!(
sql.contains(COPY_PATH_PLACEHOLDER),
InvalidArgumentsSnafu {
msg: format!(
"Placeholder `{}` not found in COPY DATABASE statement",
COPY_PATH_PLACEHOLDER
)
}
);
Ok(sql.replacen(COPY_PATH_PLACEHOLDER, &escaped_location, 1))
}
fn build_copy_database_location(&self, schema: &str) -> String {
let mut path = self.catalog_path();
path.push(schema);
let mut path_str = path.to_string_lossy().into_owned();
if !path_str.ends_with('/') {
path_str.push('/');
}
path_str
}
}
#[async_trait]
@@ -240,3 +297,52 @@ impl Tool for Import {
}
}
}
#[cfg(test)]
mod tests {
use std::time::Duration;
use super::*;
fn build_import(input_dir: &str) -> Import {
Import {
catalog: "catalog".to_string(),
schema: None,
database_client: DatabaseClient::new(
"127.0.0.1:4000".to_string(),
"catalog".to_string(),
None,
Duration::from_secs(0),
None,
),
input_dir: input_dir.to_string(),
parallelism: 1,
target: ImportTarget::Data,
}
}
#[test]
fn rewrite_copy_database_sql_replaces_placeholder() {
let import = build_import("/tmp/export-path");
let comment = "-- COPY DATABASE \"catalog\".\"schema\" FROM 's3://bucket/demo/' WITH (format = 'parquet') CONNECTION (region = 'us-west-2')";
let sql = format!(
"{comment}\nCOPY DATABASE \"catalog\".\"schema\" FROM '{}' WITH (format = 'parquet');",
COPY_PATH_PLACEHOLDER
);
let rewritten = import.rewrite_copy_database_sql("schema", &sql).unwrap();
let expected_location = import.build_copy_database_location("schema");
let escaped = expected_location.replace('\'', "''");
assert!(rewritten.starts_with(comment));
assert!(rewritten.contains(&format!("FROM '{escaped}'")));
assert!(!rewritten.contains(COPY_PATH_PLACEHOLDER));
}
#[test]
fn rewrite_copy_database_sql_requires_placeholder() {
let import = build_import("/tmp/export-path");
let sql = "COPY DATABASE \"catalog\".\"schema\" FROM '/tmp/export-path/catalog/schema/' WITH (format = 'parquet');";
assert!(import.rewrite_copy_database_sql("schema", sql).is_err());
}
}

View File

@@ -20,7 +20,9 @@ use api::v1::health_check_client::HealthCheckClient;
use api::v1::prometheus_gateway_client::PrometheusGatewayClient;
use api::v1::region::region_client::RegionClient as PbRegionClient;
use arrow_flight::flight_service_client::FlightServiceClient;
use common_grpc::channel_manager::{ChannelConfig, ChannelManager, ClientTlsOption};
use common_grpc::channel_manager::{
ChannelConfig, ChannelManager, ClientTlsOption, load_client_tls_config,
};
use parking_lot::RwLock;
use snafu::{OptionExt, ResultExt};
use tonic::codec::CompressionEncoding;
@@ -93,9 +95,10 @@ impl Client {
U: AsRef<str>,
A: AsRef<[U]>,
{
let channel_config = ChannelConfig::default().client_tls_config(client_tls);
let channel_manager = ChannelManager::with_tls_config(channel_config)
.context(error::CreateTlsChannelSnafu)?;
let channel_config = ChannelConfig::default().client_tls_config(client_tls.clone());
let tls_config =
load_client_tls_config(Some(client_tls)).context(error::CreateTlsChannelSnafu)?;
let channel_manager = ChannelManager::with_config(channel_config, tls_config);
Ok(Self::with_manager_and_urls(channel_manager, urls))
}

View File

@@ -74,7 +74,7 @@ impl FlownodeManager for NodeClients {
impl NodeClients {
pub fn new(config: ChannelConfig) -> Self {
Self {
channel_manager: ChannelManager::with_config(config),
channel_manager: ChannelManager::with_config(config, None),
clients: CacheBuilder::new(1024)
.time_to_live(Duration::from_secs(30 * 60))
.time_to_idle(Duration::from_secs(5 * 60))

View File

@@ -435,10 +435,10 @@ impl Database {
.context(ExternalSnafu)?;
match flight_message {
FlightMessage::RecordBatch(arrow_batch) => {
yield RecordBatch::try_from_df_record_batch(
yield Ok(RecordBatch::from_df_record_batch(
schema_cloned.clone(),
arrow_batch,
)
))
}
FlightMessage::Metrics(_) => {}
FlightMessage::AffectedRows(_) | FlightMessage::Schema(_) => {

View File

@@ -182,10 +182,8 @@ impl RegionRequester {
match flight_message {
FlightMessage::RecordBatch(record_batch) => {
let result_to_yield = RecordBatch::try_from_df_record_batch(
schema_cloned.clone(),
record_batch,
);
let result_to_yield =
RecordBatch::from_df_record_batch(schema_cloned.clone(), record_batch);
// get the next message from the stream. normally it should be a metrics message.
if let Some(next_flight_message_result) = flight_message_stream.next().await
@@ -219,7 +217,7 @@ impl RegionRequester {
stream_ended = true;
}
yield result_to_yield;
yield Ok(result_to_yield);
}
FlightMessage::Metrics(s) => {
// just a branch in case of some metrics message comes after other things.

View File

@@ -16,7 +16,7 @@ default = [
"meta-srv/pg_kvbackend",
"meta-srv/mysql_kvbackend",
]
enterprise = ["common-meta/enterprise", "frontend/enterprise", "meta-srv/enterprise", "catalog/enterprise"]
enterprise = ["common-meta/enterprise", "frontend/enterprise", "meta-srv/enterprise"]
tokio-console = ["common-telemetry/tokio-console"]
[lints]
@@ -29,9 +29,11 @@ base64.workspace = true
cache.workspace = true
catalog.workspace = true
chrono.workspace = true
either = "1.15"
clap.workspace = true
cli.workspace = true
client.workspace = true
colored = "2.1.0"
common-base.workspace = true
common-catalog.workspace = true
common-config.workspace = true
@@ -63,9 +65,11 @@ lazy_static.workspace = true
meta-client.workspace = true
meta-srv.workspace = true
metric-engine.workspace = true
mito2.workspace = true
moka.workspace = true
nu-ansi-term = "0.46"
object-store.workspace = true
parquet = { workspace = true, features = ["object_store"] }
plugins.workspace = true
prometheus.workspace = true
prost.workspace = true
@@ -88,6 +92,11 @@ toml.workspace = true
tonic.workspace = true
tracing-appender.workspace = true
[target.'cfg(unix)'.dependencies]
pprof = { version = "0.14", features = [
"flamegraph",
] }
[target.'cfg(not(windows))'.dependencies]
tikv-jemallocator = "0.6"

View File

@@ -103,12 +103,15 @@ async fn main_body() -> Result<()> {
async fn start(cli: Command) -> Result<()> {
match cli.subcmd {
SubCommand::Datanode(cmd) => {
let opts = cmd.load_options(&cli.global_options)?;
SubCommand::Datanode(cmd) => match cmd.subcmd {
datanode::SubCommand::Start(ref start) => {
let opts = start.load_options(&cli.global_options)?;
let plugins = Plugins::new();
let builder = InstanceBuilder::try_new_with_init(opts, plugins).await?;
cmd.build_with(builder).await?.run().await
}
datanode::SubCommand::Objbench(ref bench) => bench.run().await,
},
SubCommand::Flownode(cmd) => {
cmd.build(cmd.load_options(&cli.global_options)?)
.await?

View File

@@ -13,6 +13,8 @@
// limitations under the License.
pub mod builder;
#[allow(clippy::print_stdout)]
mod objbench;
use std::path::Path;
use std::time::Duration;
@@ -23,13 +25,16 @@ use common_config::Configurable;
use common_telemetry::logging::{DEFAULT_LOGGING_DIR, TracingOptions};
use common_telemetry::{info, warn};
use common_wal::config::DatanodeWalConfig;
use datanode::config::RegionEngineConfig;
use datanode::datanode::Datanode;
use meta_client::MetaClientOptions;
use serde::{Deserialize, Serialize};
use snafu::{ResultExt, ensure};
use tracing_appender::non_blocking::WorkerGuard;
use crate::App;
use crate::datanode::builder::InstanceBuilder;
use crate::datanode::objbench::ObjbenchCommand;
use crate::error::{
LoadLayeredConfigSnafu, MissingConfigSnafu, Result, ShutdownDatanodeSnafu, StartDatanodeSnafu,
};
@@ -89,7 +94,7 @@ impl App for Instance {
#[derive(Parser)]
pub struct Command {
#[clap(subcommand)]
subcmd: SubCommand,
pub subcmd: SubCommand,
}
impl Command {
@@ -100,13 +105,26 @@ impl Command {
pub fn load_options(&self, global_options: &GlobalOptions) -> Result<DatanodeOptions> {
match &self.subcmd {
SubCommand::Start(cmd) => cmd.load_options(global_options),
SubCommand::Objbench(_) => {
// For objbench command, we don't need to load DatanodeOptions
// It's a standalone utility command
let mut opts = datanode::config::DatanodeOptions::default();
opts.sanitize();
Ok(DatanodeOptions {
runtime: Default::default(),
plugins: Default::default(),
component: opts,
})
}
}
}
}
#[derive(Parser)]
enum SubCommand {
pub enum SubCommand {
Start(StartCommand),
/// Object storage benchmark tool
Objbench(ObjbenchCommand),
}
impl SubCommand {
@@ -116,12 +134,33 @@ impl SubCommand {
info!("Building datanode with {:#?}", cmd);
builder.build().await
}
SubCommand::Objbench(cmd) => {
cmd.run().await?;
std::process::exit(0);
}
}
}
}
/// Storage engine config
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
#[serde(default)]
pub struct StorageConfig {
/// The working directory of database
pub data_home: String,
#[serde(flatten)]
pub store: object_store::config::ObjectStoreConfig,
}
#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Default)]
#[serde(default)]
struct StorageConfigWrapper {
storage: StorageConfig,
region_engine: Vec<RegionEngineConfig>,
}
#[derive(Debug, Parser, Default)]
struct StartCommand {
pub struct StartCommand {
#[clap(long)]
node_id: Option<u64>,
/// The address to bind the gRPC server.
@@ -149,7 +188,7 @@ struct StartCommand {
}
impl StartCommand {
fn load_options(&self, global_options: &GlobalOptions) -> Result<DatanodeOptions> {
pub fn load_options(&self, global_options: &GlobalOptions) -> Result<DatanodeOptions> {
let mut opts = DatanodeOptions::load_layered_options(
self.config_file.as_deref(),
self.env_prefix.as_ref(),

View File

@@ -0,0 +1,678 @@
// Copyright 2023 Greptime Team
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::path::PathBuf;
use std::sync::Arc;
use std::time::Instant;
use clap::Parser;
use colored::Colorize;
use datanode::config::RegionEngineConfig;
use datanode::store;
use either::Either;
use mito2::access_layer::{
AccessLayer, AccessLayerRef, Metrics, OperationType, SstWriteRequest, WriteType,
};
use mito2::cache::{CacheManager, CacheManagerRef};
use mito2::config::{FulltextIndexConfig, MitoConfig, Mode};
use mito2::read::Source;
use mito2::sst::file::{FileHandle, FileMeta};
use mito2::sst::file_purger::{FilePurger, FilePurgerRef};
use mito2::sst::index::intermediate::IntermediateManager;
use mito2::sst::index::puffin_manager::PuffinManagerFactory;
use mito2::sst::parquet::reader::ParquetReaderBuilder;
use mito2::sst::parquet::{PARQUET_METADATA_KEY, WriteOptions};
use mito2::worker::write_cache_from_config;
use object_store::ObjectStore;
use regex::Regex;
use snafu::OptionExt;
use store_api::metadata::{RegionMetadata, RegionMetadataRef};
use store_api::path_utils::region_name;
use store_api::region_request::PathType;
use store_api::storage::FileId;
use crate::datanode::{StorageConfig, StorageConfigWrapper};
use crate::error;
/// Object storage benchmark command
#[derive(Debug, Parser)]
pub struct ObjbenchCommand {
/// Path to the object-store config file (TOML). Must deserialize into object_store::config::ObjectStoreConfig.
#[clap(long, value_name = "FILE")]
pub config: PathBuf,
/// Source SST file path in object-store (e.g. "region_dir/<uuid>.parquet").
#[clap(long, value_name = "PATH")]
pub source: String,
/// Verbose output
#[clap(short, long, default_value_t = false)]
pub verbose: bool,
/// Output file path for pprof flamegraph (enables profiling)
#[clap(long, value_name = "FILE")]
pub pprof_file: Option<PathBuf>,
}
fn parse_config(config_path: &PathBuf) -> error::Result<(StorageConfig, MitoConfig)> {
let cfg_str = std::fs::read_to_string(config_path).map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("failed to read config {}: {e}", config_path.display()),
}
.build()
})?;
let store_cfg: StorageConfigWrapper = toml::from_str(&cfg_str).map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("failed to parse config {}: {e}", config_path.display()),
}
.build()
})?;
let storage_config = store_cfg.storage;
let mito_engine_config = store_cfg
.region_engine
.into_iter()
.filter_map(|c| {
if let RegionEngineConfig::Mito(mito) = c {
Some(mito)
} else {
None
}
})
.next()
.with_context(|| error::IllegalConfigSnafu {
msg: format!("Engine config not found in {:?}", config_path),
})?;
Ok((storage_config, mito_engine_config))
}
impl ObjbenchCommand {
pub async fn run(&self) -> error::Result<()> {
if self.verbose {
common_telemetry::init_default_ut_logging();
}
println!("{}", "Starting objbench with config:".cyan().bold());
// Build object store from config
let (store_cfg, mut mito_engine_config) = parse_config(&self.config)?;
let object_store = build_object_store(&store_cfg).await?;
println!("{} Object store initialized", "".green());
// Prepare source identifiers
let components = parse_file_dir_components(&self.source)?;
println!(
"{} Source path parsed: {}, components: {:?}",
"".green(),
self.source,
components
);
// Load parquet metadata to extract RegionMetadata and file stats
println!("{}", "Loading parquet metadata...".yellow());
let file_size = object_store
.stat(&self.source)
.await
.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("stat failed: {e}"),
}
.build()
})?
.content_length();
let parquet_meta = load_parquet_metadata(object_store.clone(), &self.source, file_size)
.await
.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("read parquet metadata failed: {e}"),
}
.build()
})?;
let region_meta = extract_region_metadata(&self.source, &parquet_meta)?;
let num_rows = parquet_meta.file_metadata().num_rows() as u64;
let num_row_groups = parquet_meta.num_row_groups() as u64;
println!(
"{} Metadata loaded - rows: {}, size: {} bytes",
"".green(),
num_rows,
file_size
);
// Build a FileHandle for the source file
let file_meta = FileMeta {
region_id: region_meta.region_id,
file_id: components.file_id,
time_range: Default::default(),
level: 0,
file_size,
available_indexes: Default::default(),
indexes: Default::default(),
index_file_size: 0,
index_file_id: None,
num_rows,
num_row_groups,
sequence: None,
partition_expr: None,
num_series: 0,
};
let src_handle = FileHandle::new(file_meta, new_noop_file_purger());
// Build the reader for a single file via ParquetReaderBuilder
let table_dir = components.table_dir();
let (src_access_layer, cache_manager) = build_access_layer_simple(
&components,
object_store.clone(),
&mut mito_engine_config,
&store_cfg.data_home,
)
.await?;
let reader_build_start = Instant::now();
let reader = ParquetReaderBuilder::new(
table_dir,
components.path_type,
src_handle.clone(),
object_store.clone(),
)
.expected_metadata(Some(region_meta.clone()))
.build()
.await
.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("build reader failed: {e:?}"),
}
.build()
})?;
let reader_build_elapsed = reader_build_start.elapsed();
let total_rows = reader.parquet_metadata().file_metadata().num_rows();
println!("{} Reader built in {:?}", "".green(), reader_build_elapsed);
// Build write request
let fulltext_index_config = FulltextIndexConfig {
create_on_compaction: Mode::Disable,
..Default::default()
};
let write_req = SstWriteRequest {
op_type: OperationType::Flush,
metadata: region_meta,
source: Either::Left(Source::Reader(Box::new(reader))),
cache_manager,
storage: None,
max_sequence: None,
index_options: Default::default(),
index_config: mito_engine_config.index.clone(),
inverted_index_config: MitoConfig::default().inverted_index,
fulltext_index_config,
bloom_filter_index_config: MitoConfig::default().bloom_filter_index,
};
// Write SST
println!("{}", "Writing SST...".yellow());
// Start profiling if pprof_file is specified
#[cfg(unix)]
let profiler_guard = if self.pprof_file.is_some() {
println!("{} Starting profiling...", "".yellow());
Some(
pprof::ProfilerGuardBuilder::default()
.frequency(99)
.blocklist(&["libc", "libgcc", "pthread", "vdso"])
.build()
.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("Failed to start profiler: {e}"),
}
.build()
})?,
)
} else {
None
};
#[cfg(not(unix))]
if self.pprof_file.is_some() {
eprintln!(
"{}: Profiling is not supported on this platform",
"Warning".yellow()
);
}
let write_start = Instant::now();
let mut metrics = Metrics::new(WriteType::Flush);
let infos = src_access_layer
.write_sst(write_req, &WriteOptions::default(), &mut metrics)
.await
.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("write_sst failed: {e:?}"),
}
.build()
})?;
let write_elapsed = write_start.elapsed();
// Stop profiling and generate flamegraph if enabled
#[cfg(unix)]
if let (Some(guard), Some(pprof_file)) = (profiler_guard, &self.pprof_file) {
println!("{} Generating flamegraph...", "🔥".yellow());
match guard.report().build() {
Ok(report) => {
let mut flamegraph_data = Vec::new();
if let Err(e) = report.flamegraph(&mut flamegraph_data) {
println!("{}: Failed to generate flamegraph: {}", "Error".red(), e);
} else if let Err(e) = std::fs::write(pprof_file, flamegraph_data) {
println!(
"{}: Failed to write flamegraph to {}: {}",
"Error".red(),
pprof_file.display(),
e
);
} else {
println!(
"{} Flamegraph saved to {}",
"".green(),
pprof_file.display().to_string().cyan()
);
}
}
Err(e) => {
println!("{}: Failed to generate pprof report: {}", "Error".red(), e);
}
}
}
assert_eq!(infos.len(), 1);
let dst_file_id = infos[0].file_id;
let dst_file_path = format!("{}/{}.parquet", components.region_dir(), dst_file_id);
let mut dst_index_path = None;
if infos[0].index_metadata.file_size > 0 {
dst_index_path = Some(format!(
"{}/index/{}.puffin",
components.region_dir(),
dst_file_id
));
}
// Report results with ANSI colors
println!("\n{} {}", "Write complete!".green().bold(), "".green());
println!(" {}: {}", "Destination file".bold(), dst_file_path.cyan());
println!(" {}: {}", "Rows".bold(), total_rows.to_string().cyan());
println!(
" {}: {}",
"File size".bold(),
format!("{} bytes", file_size).cyan()
);
println!(
" {}: {:?}",
"Reader build time".bold(),
reader_build_elapsed
);
println!(" {}: {:?}", "Total time".bold(), write_elapsed);
// Print metrics in a formatted way
println!(" {}: {:?}", "Metrics".bold(), metrics,);
// Print infos
println!(" {}: {:?}", "Index".bold(), infos[0].index_metadata);
// Cleanup
println!("\n{}", "Cleaning up...".yellow());
object_store.delete(&dst_file_path).await.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("Failed to delete dest file {}: {}", dst_file_path, e),
}
.build()
})?;
println!("{} Temporary file {} deleted", "".green(), dst_file_path);
if let Some(index_path) = dst_index_path {
object_store.delete(&index_path).await.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("Failed to delete dest index file {}: {}", index_path, e),
}
.build()
})?;
println!(
"{} Temporary index file {} deleted",
"".green(),
index_path
);
}
println!("\n{}", "Benchmark completed successfully!".green().bold());
Ok(())
}
}
#[derive(Debug)]
struct FileDirComponents {
catalog: String,
schema: String,
table_id: u32,
region_sequence: u32,
path_type: PathType,
file_id: FileId,
}
impl FileDirComponents {
fn table_dir(&self) -> String {
format!("data/{}/{}/{}", self.catalog, self.schema, self.table_id)
}
fn region_dir(&self) -> String {
let region_name = region_name(self.table_id, self.region_sequence);
match self.path_type {
PathType::Bare => {
format!(
"data/{}/{}/{}/{}",
self.catalog, self.schema, self.table_id, region_name
)
}
PathType::Data => {
format!(
"data/{}/{}/{}/{}/data",
self.catalog, self.schema, self.table_id, region_name
)
}
PathType::Metadata => {
format!(
"data/{}/{}/{}/{}/metadata",
self.catalog, self.schema, self.table_id, region_name
)
}
}
}
}
fn parse_file_dir_components(path: &str) -> error::Result<FileDirComponents> {
// Define the regex pattern to match all three path styles
let pattern =
r"^data/([^/]+)/([^/]+)/([^/]+)/([^/]+)_([^/]+)(?:/data|/metadata)?/(.+).parquet$";
// Compile the regex
let re = Regex::new(pattern).expect("Invalid regex pattern");
// Determine the path type
let path_type = if path.contains("/data/") {
PathType::Data
} else if path.contains("/metadata/") {
PathType::Metadata
} else {
PathType::Bare
};
// Try to match the path
let components = (|| {
let captures = re.captures(path)?;
if captures.len() != 7 {
return None;
}
let mut components = FileDirComponents {
catalog: "".to_string(),
schema: "".to_string(),
table_id: 0,
region_sequence: 0,
path_type,
file_id: FileId::default(),
};
// Extract the components
components.catalog = captures.get(1)?.as_str().to_string();
components.schema = captures.get(2)?.as_str().to_string();
components.table_id = captures[3].parse().ok()?;
components.region_sequence = captures[5].parse().ok()?;
let file_id_str = &captures[6];
components.file_id = FileId::parse_str(file_id_str).ok()?;
Some(components)
})();
components.context(error::IllegalConfigSnafu {
msg: format!("Expect valid source file path, got: {}", path),
})
}
fn extract_region_metadata(
file_path: &str,
meta: &parquet::file::metadata::ParquetMetaData,
) -> error::Result<RegionMetadataRef> {
use parquet::format::KeyValue;
let kvs: Option<&Vec<KeyValue>> = meta.file_metadata().key_value_metadata();
let Some(kvs) = kvs else {
return Err(error::IllegalConfigSnafu {
msg: format!("{file_path}: missing parquet key_value metadata"),
}
.build());
};
let json = kvs
.iter()
.find(|kv| kv.key == PARQUET_METADATA_KEY)
.and_then(|kv| kv.value.as_ref())
.ok_or_else(|| {
error::IllegalConfigSnafu {
msg: format!("{file_path}: key {PARQUET_METADATA_KEY} not found or empty"),
}
.build()
})?;
let region: RegionMetadata = RegionMetadata::from_json(json).map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("invalid region metadata json: {e}"),
}
.build()
})?;
Ok(Arc::new(region))
}
async fn build_object_store(sc: &StorageConfig) -> error::Result<ObjectStore> {
store::new_object_store(sc.store.clone(), &sc.data_home)
.await
.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("Failed to build object store: {e:?}"),
}
.build()
})
}
async fn build_access_layer_simple(
components: &FileDirComponents,
object_store: ObjectStore,
config: &mut MitoConfig,
data_home: &str,
) -> error::Result<(AccessLayerRef, CacheManagerRef)> {
let _ = config.index.sanitize(data_home, &config.inverted_index);
let puffin_manager = PuffinManagerFactory::new(
&config.index.aux_path,
config.index.staging_size.as_bytes(),
Some(config.index.write_buffer_size.as_bytes() as _),
config.index.staging_ttl,
)
.await
.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("Failed to build access layer: {e:?}"),
}
.build()
})?;
let intermediate_manager = IntermediateManager::init_fs(&config.index.aux_path)
.await
.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("Failed to build IntermediateManager: {e:?}"),
}
.build()
})?
.with_buffer_size(Some(config.index.write_buffer_size.as_bytes() as _));
let cache_manager =
build_cache_manager(config, puffin_manager.clone(), intermediate_manager.clone()).await?;
let layer = AccessLayer::new(
components.table_dir(),
components.path_type,
object_store,
puffin_manager,
intermediate_manager,
);
Ok((Arc::new(layer), cache_manager))
}
async fn build_cache_manager(
config: &MitoConfig,
puffin_manager: PuffinManagerFactory,
intermediate_manager: IntermediateManager,
) -> error::Result<CacheManagerRef> {
let write_cache = write_cache_from_config(config, puffin_manager, intermediate_manager)
.await
.map_err(|e| {
error::IllegalConfigSnafu {
msg: format!("Failed to build write cache: {e:?}"),
}
.build()
})?;
let cache_manager = Arc::new(
CacheManager::builder()
.sst_meta_cache_size(config.sst_meta_cache_size.as_bytes())
.vector_cache_size(config.vector_cache_size.as_bytes())
.page_cache_size(config.page_cache_size.as_bytes())
.selector_result_cache_size(config.selector_result_cache_size.as_bytes())
.index_metadata_size(config.index.metadata_cache_size.as_bytes())
.index_content_size(config.index.content_cache_size.as_bytes())
.index_content_page_size(config.index.content_cache_page_size.as_bytes())
.index_result_cache_size(config.index.result_cache_size.as_bytes())
.puffin_metadata_size(config.index.metadata_cache_size.as_bytes())
.write_cache(write_cache)
.build(),
);
Ok(cache_manager)
}
fn new_noop_file_purger() -> FilePurgerRef {
#[derive(Debug)]
struct Noop;
impl FilePurger for Noop {
fn remove_file(&self, _file_meta: FileMeta, _is_delete: bool) {}
}
Arc::new(Noop)
}
async fn load_parquet_metadata(
object_store: ObjectStore,
path: &str,
file_size: u64,
) -> Result<parquet::file::metadata::ParquetMetaData, Box<dyn std::error::Error + Send + Sync>> {
use parquet::file::FOOTER_SIZE;
use parquet::file::metadata::ParquetMetaDataReader;
let actual_size = if file_size == 0 {
object_store.stat(path).await?.content_length()
} else {
file_size
};
if actual_size < FOOTER_SIZE as u64 {
return Err("file too small".into());
}
let prefetch: u64 = 64 * 1024;
let start = actual_size.saturating_sub(prefetch);
let buffer = object_store
.read_with(path)
.range(start..actual_size)
.await?
.to_vec();
let buffer_len = buffer.len();
let mut footer = [0; 8];
footer.copy_from_slice(&buffer[buffer_len - FOOTER_SIZE..]);
let footer = ParquetMetaDataReader::decode_footer_tail(&footer)?;
let metadata_len = footer.metadata_length() as u64;
if actual_size - (FOOTER_SIZE as u64) < metadata_len {
return Err("invalid footer/metadata length".into());
}
if (metadata_len as usize) <= buffer_len - FOOTER_SIZE {
let metadata_start = buffer_len - metadata_len as usize - FOOTER_SIZE;
let meta = ParquetMetaDataReader::decode_metadata(
&buffer[metadata_start..buffer_len - FOOTER_SIZE],
)?;
Ok(meta)
} else {
let metadata_start = actual_size - metadata_len - FOOTER_SIZE as u64;
let data = object_store
.read_with(path)
.range(metadata_start..(actual_size - FOOTER_SIZE as u64))
.await?
.to_vec();
let meta = ParquetMetaDataReader::decode_metadata(&data)?;
Ok(meta)
}
}
#[cfg(test)]
mod tests {
use std::path::PathBuf;
use std::str::FromStr;
use common_base::readable_size::ReadableSize;
use store_api::region_request::PathType;
use crate::datanode::objbench::{parse_config, parse_file_dir_components};
#[test]
fn test_parse_dir() {
let meta_path = "data/greptime/public/1024/1024_0000000000/metadata/00020380-009c-426d-953e-b4e34c15af34.parquet";
let c = parse_file_dir_components(meta_path).unwrap();
assert_eq!(
c.file_id.to_string(),
"00020380-009c-426d-953e-b4e34c15af34"
);
assert_eq!(c.catalog, "greptime");
assert_eq!(c.schema, "public");
assert_eq!(c.table_id, 1024);
assert_eq!(c.region_sequence, 0);
assert_eq!(c.path_type, PathType::Metadata);
let c = parse_file_dir_components(
"data/greptime/public/1024/1024_0000000000/data/00020380-009c-426d-953e-b4e34c15af34.parquet",
).unwrap();
assert_eq!(
c.file_id.to_string(),
"00020380-009c-426d-953e-b4e34c15af34"
);
assert_eq!(c.catalog, "greptime");
assert_eq!(c.schema, "public");
assert_eq!(c.table_id, 1024);
assert_eq!(c.region_sequence, 0);
assert_eq!(c.path_type, PathType::Data);
let c = parse_file_dir_components(
"data/greptime/public/1024/1024_0000000000/00020380-009c-426d-953e-b4e34c15af34.parquet",
).unwrap();
assert_eq!(
c.file_id.to_string(),
"00020380-009c-426d-953e-b4e34c15af34"
);
assert_eq!(c.catalog, "greptime");
assert_eq!(c.schema, "public");
assert_eq!(c.table_id, 1024);
assert_eq!(c.region_sequence, 0);
assert_eq!(c.path_type, PathType::Bare);
}
#[test]
fn test_parse_config() {
let path = "../../config/datanode.example.toml";
let (storage, engine) = parse_config(&PathBuf::from_str(path).unwrap()).unwrap();
assert_eq!(storage.data_home, "./greptimedb_data");
assert_eq!(engine.index.staging_size, ReadableSize::gb(2));
}
}

View File

@@ -99,13 +99,6 @@ pub enum Error {
source: flow::Error,
},
#[snafu(display("Servers error"))]
Servers {
#[snafu(implicit)]
location: Location,
source: servers::error::Error,
},
#[snafu(display("Failed to start frontend"))]
StartFrontend {
#[snafu(implicit)]
@@ -336,7 +329,6 @@ impl ErrorExt for Error {
Error::ShutdownFrontend { source, .. } => source.status_code(),
Error::StartMetaServer { source, .. } => source.status_code(),
Error::ShutdownMetaServer { source, .. } => source.status_code(),
Error::Servers { source, .. } => source.status_code(),
Error::BuildMetaServer { source, .. } => source.status_code(),
Error::UnsupportedSelectorType { source, .. } => source.status_code(),
Error::BuildCli { source, .. } => source.status_code(),

View File

@@ -12,6 +12,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use std::fmt::Debug;
use std::path::Path;
use std::sync::Arc;
use std::time::Duration;
@@ -30,6 +31,7 @@ use common_meta::heartbeat::handler::invalidate_table_cache::InvalidateCacheHand
use common_meta::heartbeat::handler::parse_mailbox_message::ParseMailboxMessageHandler;
use common_meta::key::TableMetadataManager;
use common_meta::key::flow::FlowMetadataManager;
use common_stat::ResourceStatImpl;
use common_telemetry::info;
use common_telemetry::logging::{DEFAULT_LOGGING_DIR, TracingOptions};
use common_version::{short_version, verbose_version};
@@ -38,12 +40,14 @@ use flow::{
get_flow_auth_options,
};
use meta_client::{MetaClientOptions, MetaClientType};
use plugins::flownode::context::GrpcConfigureContext;
use servers::configurator::GrpcBuilderConfiguratorRef;
use snafu::{OptionExt, ResultExt, ensure};
use tracing_appender::non_blocking::WorkerGuard;
use crate::error::{
BuildCacheRegistrySnafu, InitMetadataSnafu, LoadLayeredConfigSnafu, MetaClientInitSnafu,
MissingConfigSnafu, Result, ShutdownFlownodeSnafu, StartFlownodeSnafu,
MissingConfigSnafu, OtherSnafu, Result, ShutdownFlownodeSnafu, StartFlownodeSnafu,
};
use crate::options::{GlobalOptions, GreptimeOptions};
use crate::{App, create_resource_limit_metrics, log_versions, maybe_activate_heap_profile};
@@ -54,33 +58,14 @@ type FlownodeOptions = GreptimeOptions<flow::FlownodeOptions>;
pub struct Instance {
flownode: FlownodeInstance,
// The components of flownode, which make it easier to expand based
// on the components.
#[cfg(feature = "enterprise")]
components: Components,
// Keep the logging guard to prevent the worker from being dropped.
_guard: Vec<WorkerGuard>,
}
#[cfg(feature = "enterprise")]
pub struct Components {
pub catalog_manager: catalog::CatalogManagerRef,
pub fe_client: Arc<FrontendClient>,
pub kv_backend: common_meta::kv_backend::KvBackendRef,
}
impl Instance {
pub fn new(
flownode: FlownodeInstance,
#[cfg(feature = "enterprise")] components: Components,
guard: Vec<WorkerGuard>,
) -> Self {
pub fn new(flownode: FlownodeInstance, guard: Vec<WorkerGuard>) -> Self {
Self {
flownode,
#[cfg(feature = "enterprise")]
components,
_guard: guard,
}
}
@@ -93,11 +78,6 @@ impl Instance {
pub fn flownode_mut(&mut self) -> &mut FlownodeInstance {
&mut self.flownode
}
#[cfg(feature = "enterprise")]
pub fn components(&self) -> &Components {
&self.components
}
}
#[async_trait::async_trait]
@@ -372,11 +352,15 @@ impl StartCommand {
Arc::new(InvalidateCacheHandler::new(layered_cache_registry.clone())),
]);
let mut resource_stat = ResourceStatImpl::default();
resource_stat.start_collect_cpu_usage();
let heartbeat_task = flow::heartbeat::HeartbeatTask::new(
&opts,
meta_client.clone(),
opts.heartbeat.clone(),
Arc::new(executor),
Arc::new(resource_stat),
);
let flow_metadata_manager = Arc::new(FlowMetadataManager::new(cached_meta_backend.clone()));
@@ -391,7 +375,7 @@ impl StartCommand {
let frontend_client = Arc::new(frontend_client);
let flownode_builder = FlownodeBuilder::new(
opts.clone(),
plugins,
plugins.clone(),
table_metadata_manager,
catalog_manager.clone(),
flow_metadata_manager,
@@ -400,8 +384,29 @@ impl StartCommand {
.with_heartbeat_task(heartbeat_task);
let mut flownode = flownode_builder.build().await.context(StartFlownodeSnafu)?;
let builder =
FlownodeServiceBuilder::grpc_server_builder(&opts, flownode.flownode_server());
let builder = if let Some(configurator) =
plugins.get::<GrpcBuilderConfiguratorRef<GrpcConfigureContext>>()
{
let context = GrpcConfigureContext {
kv_backend: cached_meta_backend.clone(),
fe_client: frontend_client.clone(),
flownode_id: member_id,
catalog_manager: catalog_manager.clone(),
};
configurator
.configure(builder, context)
.await
.context(OtherSnafu)?
} else {
builder
};
let grpc_server = builder.build();
let services = FlownodeServiceBuilder::new(&opts)
.with_default_grpc_server(flownode.flownode_server())
.with_grpc_server(grpc_server)
.enable_http_service()
.build()
.context(StartFlownodeSnafu)?;
@@ -425,16 +430,6 @@ impl StartCommand {
.set_frontend_invoker(invoker)
.await;
#[cfg(feature = "enterprise")]
let components = Components {
catalog_manager: catalog_manager.clone(),
fe_client: frontend_client,
kv_backend: cached_meta_backend,
};
#[cfg(not(feature = "enterprise"))]
return Ok(Instance::new(flownode, guard));
#[cfg(feature = "enterprise")]
Ok(Instance::new(flownode, components, guard))
Ok(Instance::new(flownode, guard))
}
}

View File

@@ -12,6 +12,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use std::fmt::Debug;
use std::path::Path;
use std::sync::Arc;
use std::time::Duration;
@@ -19,17 +20,23 @@ use std::time::Duration;
use async_trait::async_trait;
use cache::{build_fundamental_cache_registry, with_default_composite_cache_registry};
use catalog::information_extension::DistributedInformationExtension;
use catalog::kvbackend::{CachedKvBackendBuilder, KvBackendCatalogManagerBuilder, MetaKvBackend};
use catalog::kvbackend::{
CachedKvBackendBuilder, CatalogManagerConfiguratorRef, KvBackendCatalogManagerBuilder,
MetaKvBackend,
};
use catalog::process_manager::ProcessManager;
use clap::Parser;
use client::client_manager::NodeClients;
use common_base::Plugins;
use common_config::{Configurable, DEFAULT_DATA_HOME};
use common_error::ext::BoxedError;
use common_grpc::channel_manager::ChannelConfig;
use common_meta::cache::{CacheRegistryBuilder, LayeredCacheRegistryBuilder};
use common_meta::heartbeat::handler::HandlerGroupExecutor;
use common_meta::heartbeat::handler::invalidate_table_cache::InvalidateCacheHandler;
use common_meta::heartbeat::handler::parse_mailbox_message::ParseMailboxMessageHandler;
use common_query::prelude::set_default_prefix;
use common_stat::ResourceStatImpl;
use common_telemetry::info;
use common_telemetry::logging::{DEFAULT_LOGGING_DIR, TracingOptions};
use common_time::timezone::set_default_timezone;
@@ -39,14 +46,16 @@ use frontend::heartbeat::HeartbeatTask;
use frontend::instance::builder::FrontendBuilder;
use frontend::server::Services;
use meta_client::{MetaClientOptions, MetaClientType};
use plugins::frontend::context::{
CatalogManagerConfigureContext, DistributedCatalogManagerConfigureContext,
};
use servers::addrs;
use servers::export_metrics::ExportMetricsTask;
use servers::grpc::GrpcOptions;
use servers::tls::{TlsMode, TlsOption};
use snafu::{OptionExt, ResultExt};
use tracing_appender::non_blocking::WorkerGuard;
use crate::error::{self, Result};
use crate::error::{self, OtherSnafu, Result};
use crate::options::{GlobalOptions, GreptimeOptions};
use crate::{App, create_resource_limit_metrics, log_versions, maybe_activate_heap_profile};
@@ -174,6 +183,8 @@ pub struct StartCommand {
#[clap(long)]
tls_key_path: Option<String>,
#[clap(long)]
tls_watch: bool,
#[clap(long)]
user_provider: Option<String>,
#[clap(long)]
disable_dashboard: Option<bool>,
@@ -227,6 +238,7 @@ impl StartCommand {
self.tls_mode.clone(),
self.tls_cert_path.clone(),
self.tls_key_path.clone(),
self.tls_watch,
);
if let Some(addr) = &self.http_addr {
@@ -332,6 +344,9 @@ impl StartCommand {
.context(error::StartFrontendSnafu)?;
set_default_timezone(opts.default_timezone.as_deref()).context(error::InitTimezoneSnafu)?;
set_default_prefix(opts.default_column_prefix.as_deref())
.map_err(BoxedError::new)
.context(error::BuildCliSnafu)?;
let meta_client_options = opts
.meta_client
@@ -408,9 +423,18 @@ impl StartCommand {
layered_cache_registry.clone(),
)
.with_process_manager(process_manager.clone());
#[cfg(feature = "enterprise")]
let builder = if let Some(factories) = plugins.get() {
builder.with_extra_information_table_factories(factories)
let builder = if let Some(configurator) =
plugins.get::<CatalogManagerConfiguratorRef<CatalogManagerConfigureContext>>()
{
let ctx = DistributedCatalogManagerConfigureContext {
meta_client: meta_client.clone(),
};
let ctx = CatalogManagerConfigureContext::Distributed(ctx);
configurator
.configure(builder, ctx)
.await
.context(OtherSnafu)?
} else {
builder
};
@@ -421,11 +445,15 @@ impl StartCommand {
Arc::new(InvalidateCacheHandler::new(layered_cache_registry.clone())),
]);
let mut resource_stat = ResourceStatImpl::default();
resource_stat.start_collect_cpu_usage();
let heartbeat_task = HeartbeatTask::new(
&opts,
meta_client.clone(),
opts.heartbeat.clone(),
Arc::new(executor),
Arc::new(resource_stat),
);
let heartbeat_task = Some(heartbeat_task);
@@ -445,9 +473,6 @@ impl StartCommand {
.context(error::StartFrontendSnafu)?;
let instance = Arc::new(instance);
let export_metrics_task = ExportMetricsTask::try_new(&opts.export_metrics, Some(&plugins))
.context(error::ServersSnafu)?;
let servers = Services::new(opts, instance.clone(), plugins)
.build()
.context(error::StartFrontendSnafu)?;
@@ -456,7 +481,6 @@ impl StartCommand {
instance,
servers,
heartbeat_task,
export_metrics_task,
};
Ok(Instance::new(frontend, guard))

View File

@@ -12,7 +12,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use std::fmt;
use std::fmt::{self, Debug};
use std::path::Path;
use std::time::Duration;
@@ -23,7 +23,7 @@ use common_config::Configurable;
use common_telemetry::info;
use common_telemetry::logging::{DEFAULT_LOGGING_DIR, TracingOptions};
use common_version::{short_version, verbose_version};
use meta_srv::bootstrap::MetasrvInstance;
use meta_srv::bootstrap::{MetasrvInstance, metasrv_builder};
use meta_srv::metasrv::BackendImpl;
use snafu::ResultExt;
use tracing_appender::non_blocking::WorkerGuard;
@@ -177,7 +177,7 @@ pub struct StartCommand {
backend: Option<BackendImpl>,
}
impl fmt::Debug for StartCommand {
impl Debug for StartCommand {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
f.debug_struct("StartCommand")
.field("rpc_bind_addr", &self.rpc_bind_addr)
@@ -341,7 +341,7 @@ impl StartCommand {
.await
.context(StartMetaServerSnafu)?;
let builder = meta_srv::bootstrap::metasrv_builder(&opts, plugins, None)
let builder = metasrv_builder(&opts, plugins, None)
.await
.context(error::BuildMetaServerSnafu)?;
let metasrv = builder.build().await.context(error::BuildMetaServerSnafu)?;

View File

@@ -12,6 +12,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use std::fmt::Debug;
use std::net::SocketAddr;
use std::path::Path;
use std::sync::Arc;
@@ -20,7 +21,7 @@ use std::{fs, path};
use async_trait::async_trait;
use cache::{build_fundamental_cache_registry, with_default_composite_cache_registry};
use catalog::information_schema::InformationExtensionRef;
use catalog::kvbackend::KvBackendCatalogManagerBuilder;
use catalog::kvbackend::{CatalogManagerConfiguratorRef, KvBackendCatalogManagerBuilder};
use catalog::process_manager::ProcessManager;
use clap::Parser;
use common_base::Plugins;
@@ -31,7 +32,7 @@ use common_meta::cache::LayeredCacheRegistryBuilder;
use common_meta::ddl::flow_meta::FlowMetadataAllocator;
use common_meta::ddl::table_meta::TableMetadataAllocator;
use common_meta::ddl::{DdlContext, NoopRegionFailureDetectorControl};
use common_meta::ddl_manager::DdlManager;
use common_meta::ddl_manager::{DdlManager, DdlManagerConfiguratorRef};
use common_meta::key::flow::FlowMetadataManager;
use common_meta::key::{TableMetadataManager, TableMetadataManagerRef};
use common_meta::kv_backend::KvBackendRef;
@@ -41,6 +42,7 @@ use common_meta::region_registry::LeaderRegionRegistry;
use common_meta::sequence::SequenceBuilder;
use common_meta::wal_options_allocator::{WalOptionsAllocatorRef, build_wal_options_allocator};
use common_procedure::ProcedureManagerRef;
use common_query::prelude::set_default_prefix;
use common_telemetry::info;
use common_telemetry::logging::{DEFAULT_LOGGING_DIR, TracingOptions};
use common_time::timezone::set_default_timezone;
@@ -56,14 +58,17 @@ use frontend::instance::StandaloneDatanodeManager;
use frontend::instance::builder::FrontendBuilder;
use frontend::server::Services;
use meta_srv::metasrv::{FLOW_ID_SEQ, TABLE_ID_SEQ};
use servers::export_metrics::ExportMetricsTask;
use plugins::frontend::context::{
CatalogManagerConfigureContext, StandaloneCatalogManagerConfigureContext,
};
use plugins::standalone::context::DdlManagerConfigureContext;
use servers::tls::{TlsMode, TlsOption};
use snafu::ResultExt;
use standalone::StandaloneInformationExtension;
use standalone::options::StandaloneOptions;
use tracing_appender::non_blocking::WorkerGuard;
use crate::error::{Result, StartFlownodeSnafu};
use crate::error::{OtherSnafu, Result, StartFlownodeSnafu};
use crate::options::{GlobalOptions, GreptimeOptions};
use crate::{App, create_resource_limit_metrics, error, log_versions, maybe_activate_heap_profile};
@@ -116,34 +121,15 @@ pub struct Instance {
flownode: FlownodeInstance,
procedure_manager: ProcedureManagerRef,
wal_options_allocator: WalOptionsAllocatorRef,
// The components of standalone, which make it easier to expand based
// on the components.
#[cfg(feature = "enterprise")]
components: Components,
// Keep the logging guard to prevent the worker from being dropped.
_guard: Vec<WorkerGuard>,
}
#[cfg(feature = "enterprise")]
pub struct Components {
pub plugins: Plugins,
pub kv_backend: KvBackendRef,
pub frontend_client: Arc<FrontendClient>,
pub catalog_manager: catalog::CatalogManagerRef,
}
impl Instance {
/// Find the socket addr of a server by its `name`.
pub fn server_addr(&self, name: &str) -> Option<SocketAddr> {
self.frontend.server_handlers().addr(name)
}
#[cfg(feature = "enterprise")]
pub fn components(&self) -> &Components {
&self.components
}
}
#[async_trait]
@@ -227,6 +213,8 @@ pub struct StartCommand {
#[clap(long)]
tls_key_path: Option<String>,
#[clap(long)]
tls_watch: bool,
#[clap(long)]
user_provider: Option<String>,
#[clap(long, default_value = "GREPTIMEDB_STANDALONE")]
pub env_prefix: String,
@@ -276,6 +264,7 @@ impl StartCommand {
self.tls_mode.clone(),
self.tls_cert_path.clone(),
self.tls_key_path.clone(),
self.tls_watch,
);
if let Some(addr) = &self.http_addr {
@@ -355,6 +344,10 @@ impl StartCommand {
let mut plugins = Plugins::new();
let plugin_opts = opts.plugins;
let mut opts = opts.component;
set_default_prefix(opts.default_column_prefix.as_deref())
.map_err(BoxedError::new)
.context(error::BuildCliSnafu)?;
opts.grpc.detect_server_addr();
let fe_opts = opts.frontend_options();
let dn_opts = opts.datanode_options();
@@ -408,6 +401,13 @@ impl StartCommand {
plugins.insert::<InformationExtensionRef>(information_extension.clone());
let process_manager = Arc::new(ProcessManager::new(opts.grpc.server_addr.clone(), None));
// for standalone not use grpc, but get a handler to frontend grpc client without
// actually make a connection
let (frontend_client, frontend_instance_handler) =
FrontendClient::from_empty_grpc_handler(opts.query.clone());
let frontend_client = Arc::new(frontend_client);
let builder = KvBackendCatalogManagerBuilder::new(
information_extension.clone(),
kv_backend.clone(),
@@ -415,9 +415,17 @@ impl StartCommand {
)
.with_procedure_manager(procedure_manager.clone())
.with_process_manager(process_manager.clone());
#[cfg(feature = "enterprise")]
let builder = if let Some(factories) = plugins.get() {
builder.with_extra_information_table_factories(factories)
let builder = if let Some(configurator) =
plugins.get::<CatalogManagerConfiguratorRef<CatalogManagerConfigureContext>>()
{
let ctx = StandaloneCatalogManagerConfigureContext {
fe_client: frontend_client.clone(),
};
let ctx = CatalogManagerConfigureContext::Standalone(ctx);
configurator
.configure(builder, ctx)
.await
.context(OtherSnafu)?
} else {
builder
};
@@ -432,11 +440,6 @@ impl StartCommand {
..Default::default()
};
// for standalone not use grpc, but get a handler to frontend grpc client without
// actually make a connection
let (frontend_client, frontend_instance_handler) =
FrontendClient::from_empty_grpc_handler(opts.query.clone());
let frontend_client = Arc::new(frontend_client);
let flow_builder = FlownodeBuilder::new(
flownode_options,
plugins.clone(),
@@ -507,11 +510,21 @@ impl StartCommand {
let ddl_manager = DdlManager::try_new(ddl_context, procedure_manager.clone(), true)
.context(error::InitDdlManagerSnafu)?;
#[cfg(feature = "enterprise")]
let ddl_manager = {
let trigger_ddl_manager: Option<common_meta::ddl_manager::TriggerDdlManagerRef> =
plugins.get();
ddl_manager.with_trigger_ddl_manager(trigger_ddl_manager)
let ddl_manager = if let Some(configurator) =
plugins.get::<DdlManagerConfiguratorRef<DdlManagerConfigureContext>>()
{
let ctx = DdlManagerConfigureContext {
kv_backend: kv_backend.clone(),
fe_client: frontend_client.clone(),
catalog_manager: catalog_manager.clone(),
};
configurator
.configure(ddl_manager, ctx)
.await
.context(OtherSnafu)?
} else {
ddl_manager
};
let procedure_executor = Arc::new(LocalProcedureExecutor::new(
@@ -557,9 +570,6 @@ impl StartCommand {
.context(StartFlownodeSnafu)?;
flow_streaming_engine.set_frontend_invoker(invoker).await;
let export_metrics_task = ExportMetricsTask::try_new(&opts.export_metrics, Some(&plugins))
.context(error::ServersSnafu)?;
let servers = Services::new(opts, fe_instance.clone(), plugins.clone())
.build()
.context(error::StartFrontendSnafu)?;
@@ -568,15 +578,6 @@ impl StartCommand {
instance: fe_instance,
servers,
heartbeat_task: None,
export_metrics_task,
};
#[cfg(feature = "enterprise")]
let components = Components {
plugins,
kv_backend,
frontend_client,
catalog_manager,
};
Ok(Instance {
@@ -585,8 +586,6 @@ impl StartCommand {
flownode,
procedure_manager,
wal_options_allocator,
#[cfg(feature = "enterprise")]
components,
_guard: guard,
})
}
@@ -764,6 +763,9 @@ mod tests {
fn test_load_log_options_from_cli() {
let cmd = StartCommand {
user_provider: Some("static_user_provider:cmd:test=test".to_string()),
mysql_addr: Some("127.0.0.1:4002".to_string()),
postgres_addr: Some("127.0.0.1:4003".to_string()),
tls_watch: true,
..Default::default()
};
@@ -780,6 +782,8 @@ mod tests {
assert_eq!("./greptimedb_data/test/logs", opts.logging.dir);
assert_eq!("debug", opts.logging.level.unwrap());
assert!(opts.mysql.tls.watch);
assert!(opts.postgres.tls.watch);
}
#[test]

View File

@@ -15,6 +15,7 @@
use std::time::Duration;
use cmd::options::GreptimeOptions;
use common_base::memory_limit::MemoryLimit;
use common_config::{Configurable, DEFAULT_DATA_HOME};
use common_options::datanode::{ClientOptions, DatanodeClientOptions};
use common_telemetry::logging::{DEFAULT_LOGGING_DIR, DEFAULT_OTLP_HTTP_ENDPOINT, LoggingOptions};
@@ -30,7 +31,6 @@ use meta_srv::selector::SelectorType;
use metric_engine::config::EngineConfig as MetricEngineConfig;
use mito2::config::MitoConfig;
use query::options::QueryOptions;
use servers::export_metrics::ExportMetricsOption;
use servers::grpc::GrpcOptions;
use servers::http::HttpOptions;
use servers::tls::{TlsMode, TlsOption};
@@ -48,6 +48,7 @@ fn test_load_datanode_example_config() {
let expected = GreptimeOptions::<DatanodeOptions> {
component: DatanodeOptions {
node_id: Some(42),
default_column_prefix: Some("greptime".to_string()),
meta_client: Some(MetaClientOptions {
metasrv_addrs: vec!["127.0.0.1:3002".to_string()],
timeout: Duration::from_secs(3),
@@ -73,14 +74,19 @@ fn test_load_datanode_example_config() {
RegionEngineConfig::Mito(MitoConfig {
auto_flush_interval: Duration::from_secs(3600),
write_cache_ttl: Some(Duration::from_secs(60 * 60 * 8)),
scan_memory_limit: MemoryLimit::Percentage(50),
..Default::default()
}),
RegionEngineConfig::File(FileEngineConfig {}),
RegionEngineConfig::Metric(MetricEngineConfig {
experimental_sparse_primary_key_encoding: false,
sparse_primary_key_encoding: true,
flush_metadata_region_interval: Duration::from_secs(30),
}),
],
query: QueryOptions {
memory_pool_size: MemoryLimit::Percentage(50),
..Default::default()
},
logging: LoggingOptions {
level: Some("info".to_string()),
dir: format!("{}/{}", DEFAULT_DATA_HOME, DEFAULT_LOGGING_DIR),
@@ -88,11 +94,6 @@ fn test_load_datanode_example_config() {
tracing_sample_ratio: Some(Default::default()),
..Default::default()
},
export_metrics: ExportMetricsOption {
self_import: None,
remote_write: Some(Default::default()),
..Default::default()
},
grpc: GrpcOptions::default()
.with_bind_addr("127.0.0.1:3001")
.with_server_addr("127.0.0.1:3001"),
@@ -113,6 +114,7 @@ fn test_load_frontend_example_config() {
let expected = GreptimeOptions::<FrontendOptions> {
component: FrontendOptions {
default_timezone: Some("UTC".to_string()),
default_column_prefix: Some("greptime".to_string()),
meta_client: Some(MetaClientOptions {
metasrv_addrs: vec!["127.0.0.1:3002".to_string()],
timeout: Duration::from_secs(3),
@@ -138,11 +140,6 @@ fn test_load_frontend_example_config() {
..Default::default()
},
},
export_metrics: ExportMetricsOption {
self_import: None,
remote_write: Some(Default::default()),
..Default::default()
},
grpc: GrpcOptions {
bind_addr: "127.0.0.1:4001".to_string(),
server_addr: "127.0.0.1:4001".to_string(),
@@ -153,6 +150,10 @@ fn test_load_frontend_example_config() {
cors_allowed_origins: vec!["https://example.com".to_string()],
..Default::default()
},
query: QueryOptions {
memory_pool_size: MemoryLimit::Percentage(50),
..Default::default()
},
..Default::default()
},
..Default::default()
@@ -189,11 +190,6 @@ fn test_load_metasrv_example_config() {
tcp_nodelay: true,
},
},
export_metrics: ExportMetricsOption {
self_import: None,
remote_write: Some(Default::default()),
..Default::default()
},
backend_tls: Some(TlsOption {
mode: TlsMode::Prefer,
cert_path: String::new(),
@@ -240,6 +236,7 @@ fn test_load_flownode_example_config() {
query: QueryOptions {
parallelism: 1,
allow_query_fallback: false,
memory_pool_size: MemoryLimit::Percentage(50),
},
meta_client: Some(MetaClientOptions {
metasrv_addrs: vec!["127.0.0.1:3002".to_string()],
@@ -273,6 +270,7 @@ fn test_load_standalone_example_config() {
let expected = GreptimeOptions::<StandaloneOptions> {
component: StandaloneOptions {
default_timezone: Some("UTC".to_string()),
default_column_prefix: Some("greptime".to_string()),
wal: DatanodeWalConfig::RaftEngine(RaftEngineConfig {
dir: Some(format!("{}/{}", DEFAULT_DATA_HOME, WAL_DIR)),
sync_period: Some(Duration::from_secs(10)),
@@ -283,11 +281,12 @@ fn test_load_standalone_example_config() {
RegionEngineConfig::Mito(MitoConfig {
auto_flush_interval: Duration::from_secs(3600),
write_cache_ttl: Some(Duration::from_secs(60 * 60 * 8)),
scan_memory_limit: MemoryLimit::Percentage(50),
..Default::default()
}),
RegionEngineConfig::File(FileEngineConfig {}),
RegionEngineConfig::Metric(MetricEngineConfig {
experimental_sparse_primary_key_encoding: false,
sparse_primary_key_encoding: true,
flush_metadata_region_interval: Duration::from_secs(30),
}),
],
@@ -302,16 +301,14 @@ fn test_load_standalone_example_config() {
tracing_sample_ratio: Some(Default::default()),
..Default::default()
},
export_metrics: ExportMetricsOption {
self_import: Some(Default::default()),
remote_write: Some(Default::default()),
..Default::default()
},
http: HttpOptions {
cors_allowed_origins: vec!["https://example.com".to_string()],
..Default::default()
},
query: QueryOptions {
memory_pool_size: MemoryLimit::Percentage(50),
..Default::default()
},
..Default::default()
},
..Default::default()

View File

@@ -18,9 +18,11 @@ bytes.workspace = true
common-error.workspace = true
common-macro.workspace = true
futures.workspace = true
lazy_static.workspace = true
paste.workspace = true
pin-project.workspace = true
rand.workspace = true
regex.workspace = true
serde = { version = "1.0", features = ["derive"] }
snafu.workspace = true
tokio.workspace = true

View File

@@ -15,10 +15,12 @@
pub mod bit_vec;
pub mod bytes;
pub mod cancellation;
pub mod memory_limit;
pub mod plugins;
pub mod range_read;
#[allow(clippy::all)]
pub mod readable_size;
pub mod regex_pattern;
pub mod secrets;
pub mod serde;

View File

@@ -0,0 +1,265 @@
// Copyright 2023 Greptime Team
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::fmt::{self, Display};
use std::str::FromStr;
use serde::{Deserialize, Deserializer, Serialize, Serializer};
use crate::readable_size::ReadableSize;
/// Memory limit configuration that supports both absolute size and percentage.
///
/// Examples:
/// - Absolute size: "2GB", "4GiB", "512MB"
/// - Percentage: "50%", "75%"
/// - Unlimited: "unlimited", "0"
#[derive(Debug, Clone, Copy, PartialEq, Eq, Default)]
pub enum MemoryLimit {
/// Absolute memory size.
Size(ReadableSize),
/// Percentage of total system memory (0-100).
Percentage(u8),
/// No memory limit.
#[default]
Unlimited,
}
impl MemoryLimit {
/// Resolve the memory limit to bytes based on total system memory.
/// Returns 0 if the limit is unlimited.
pub fn resolve(&self, total_memory_bytes: u64) -> u64 {
match self {
MemoryLimit::Size(size) => size.as_bytes(),
MemoryLimit::Percentage(pct) => total_memory_bytes * (*pct as u64) / 100,
MemoryLimit::Unlimited => 0,
}
}
/// Returns true if this limit is unlimited.
pub fn is_unlimited(&self) -> bool {
match self {
MemoryLimit::Size(size) => size.as_bytes() == 0,
MemoryLimit::Percentage(pct) => *pct == 0,
MemoryLimit::Unlimited => true,
}
}
}
impl FromStr for MemoryLimit {
type Err = String;
fn from_str(s: &str) -> Result<Self, Self::Err> {
let s = s.trim();
if s.eq_ignore_ascii_case("unlimited") {
return Ok(MemoryLimit::Unlimited);
}
if let Some(pct_str) = s.strip_suffix('%') {
let pct = pct_str
.trim()
.parse::<u8>()
.map_err(|e| format!("invalid percentage value '{}': {}", pct_str, e))?;
if pct > 100 {
return Err(format!("percentage must be between 0 and 100, got {}", pct));
}
if pct == 0 {
Ok(MemoryLimit::Unlimited)
} else {
Ok(MemoryLimit::Percentage(pct))
}
} else {
let size = ReadableSize::from_str(s)?;
if size.as_bytes() == 0 {
Ok(MemoryLimit::Unlimited)
} else {
Ok(MemoryLimit::Size(size))
}
}
}
}
impl Display for MemoryLimit {
fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
match self {
MemoryLimit::Size(size) => write!(f, "{}", size),
MemoryLimit::Percentage(pct) => write!(f, "{}%", pct),
MemoryLimit::Unlimited => write!(f, "unlimited"),
}
}
}
impl Serialize for MemoryLimit {
fn serialize<S>(&self, serializer: S) -> Result<S::Ok, S::Error>
where
S: Serializer,
{
serializer.serialize_str(&self.to_string())
}
}
impl<'de> Deserialize<'de> for MemoryLimit {
fn deserialize<D>(deserializer: D) -> Result<Self, D::Error>
where
D: Deserializer<'de>,
{
let s = String::deserialize(deserializer)?;
MemoryLimit::from_str(&s).map_err(serde::de::Error::custom)
}
}
#[cfg(test)]
mod tests {
use super::*;
#[test]
fn test_parse_absolute_size() {
assert_eq!(
"2GB".parse::<MemoryLimit>().unwrap(),
MemoryLimit::Size(ReadableSize(2 * 1024 * 1024 * 1024))
);
assert_eq!(
"512MB".parse::<MemoryLimit>().unwrap(),
MemoryLimit::Size(ReadableSize(512 * 1024 * 1024))
);
assert_eq!("0".parse::<MemoryLimit>().unwrap(), MemoryLimit::Unlimited);
}
#[test]
fn test_parse_percentage() {
assert_eq!(
"50%".parse::<MemoryLimit>().unwrap(),
MemoryLimit::Percentage(50)
);
assert_eq!(
"75%".parse::<MemoryLimit>().unwrap(),
MemoryLimit::Percentage(75)
);
assert_eq!("0%".parse::<MemoryLimit>().unwrap(), MemoryLimit::Unlimited);
}
#[test]
fn test_parse_invalid() {
assert!("150%".parse::<MemoryLimit>().is_err());
assert!("-10%".parse::<MemoryLimit>().is_err());
assert!("invalid".parse::<MemoryLimit>().is_err());
}
#[test]
fn test_resolve() {
let total = 8 * 1024 * 1024 * 1024; // 8GB
assert_eq!(
MemoryLimit::Size(ReadableSize(2 * 1024 * 1024 * 1024)).resolve(total),
2 * 1024 * 1024 * 1024
);
assert_eq!(
MemoryLimit::Percentage(50).resolve(total),
4 * 1024 * 1024 * 1024
);
assert_eq!(MemoryLimit::Unlimited.resolve(total), 0);
}
#[test]
fn test_is_unlimited() {
assert!(MemoryLimit::Unlimited.is_unlimited());
assert!(!MemoryLimit::Size(ReadableSize(1024)).is_unlimited());
assert!(!MemoryLimit::Percentage(50).is_unlimited());
assert!(!MemoryLimit::Percentage(1).is_unlimited());
// Defensive: these states shouldn't exist via public API, but check anyway
assert!(MemoryLimit::Size(ReadableSize(0)).is_unlimited());
assert!(MemoryLimit::Percentage(0).is_unlimited());
}
#[test]
fn test_parse_100_percent() {
assert_eq!(
"100%".parse::<MemoryLimit>().unwrap(),
MemoryLimit::Percentage(100)
);
}
#[test]
fn test_display_percentage() {
assert_eq!(MemoryLimit::Percentage(20).to_string(), "20%");
assert_eq!(MemoryLimit::Percentage(50).to_string(), "50%");
assert_eq!(MemoryLimit::Percentage(100).to_string(), "100%");
}
#[test]
fn test_parse_unlimited() {
assert_eq!(
"unlimited".parse::<MemoryLimit>().unwrap(),
MemoryLimit::Unlimited
);
assert_eq!(
"UNLIMITED".parse::<MemoryLimit>().unwrap(),
MemoryLimit::Unlimited
);
assert_eq!(
"Unlimited".parse::<MemoryLimit>().unwrap(),
MemoryLimit::Unlimited
);
}
#[test]
fn test_display_unlimited() {
assert_eq!(MemoryLimit::Unlimited.to_string(), "unlimited");
}
#[test]
fn test_parse_display_roundtrip() {
let cases = vec![
"50%",
"100%",
"1%",
"2GB",
"512MB",
"unlimited",
"UNLIMITED",
"0", // normalized to unlimited
"0%", // normalized to unlimited
];
for input in cases {
let parsed = input.parse::<MemoryLimit>().unwrap();
let displayed = parsed.to_string();
let reparsed = displayed.parse::<MemoryLimit>().unwrap();
assert_eq!(
parsed, reparsed,
"round-trip failed: '{}' -> '{}' -> '{:?}'",
input, displayed, reparsed
);
}
}
#[test]
fn test_zero_normalization() {
// All forms of zero should normalize to Unlimited
assert_eq!("0".parse::<MemoryLimit>().unwrap(), MemoryLimit::Unlimited);
assert_eq!("0%".parse::<MemoryLimit>().unwrap(), MemoryLimit::Unlimited);
assert_eq!("0B".parse::<MemoryLimit>().unwrap(), MemoryLimit::Unlimited);
assert_eq!(
"0KB".parse::<MemoryLimit>().unwrap(),
MemoryLimit::Unlimited
);
// Unlimited always displays as "unlimited"
assert_eq!(MemoryLimit::Unlimited.to_string(), "unlimited");
}
}

View File

@@ -32,7 +32,12 @@ impl Plugins {
pub fn insert<T: 'static + Send + Sync>(&self, value: T) {
let last = self.write().insert(value);
assert!(last.is_none(), "each type of plugins must be one and only");
if last.is_some() {
panic!(
"Plugin of type {} already exists",
std::any::type_name::<T>()
);
}
}
pub fn get<T: 'static + Send + Sync + Clone>(&self) -> Option<T> {
@@ -140,7 +145,7 @@ mod tests {
}
#[test]
#[should_panic(expected = "each type of plugins must be one and only")]
#[should_panic(expected = "Plugin of type i32 already exists")]
fn test_plugin_uniqueness() {
let plugins = Plugins::new();
plugins.insert(1i32);

View File

@@ -0,0 +1,22 @@
// Copyright 2023 Greptime Team
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use lazy_static::lazy_static;
use regex::Regex;
pub const NAME_PATTERN: &str = r"[a-zA-Z_:-][a-zA-Z0-9_:\-\.@#]*";
lazy_static! {
pub static ref NAME_PATTERN_REG: Regex = Regex::new(&format!("^{NAME_PATTERN}$")).unwrap();
}

View File

@@ -8,5 +8,6 @@ license.workspace = true
workspace = true
[dependencies]
const_format.workspace = true
[dev-dependencies]

View File

@@ -0,0 +1,27 @@
// 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.
fn main() {
// Set DEFAULT_CATALOG_NAME from environment variable or use default value
let default_catalog_name =
std::env::var("DEFAULT_CATALOG_NAME").unwrap_or_else(|_| "greptime".to_string());
println!(
"cargo:rustc-env=DEFAULT_CATALOG_NAME={}",
default_catalog_name
);
// Rerun build script if the environment variable changes
println!("cargo:rerun-if-env-changed=DEFAULT_CATALOG_NAME");
}

View File

@@ -12,13 +12,15 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use const_format::concatcp;
pub const SYSTEM_CATALOG_NAME: &str = "system";
pub const INFORMATION_SCHEMA_NAME: &str = "information_schema";
pub const PG_CATALOG_NAME: &str = "pg_catalog";
pub const SYSTEM_CATALOG_TABLE_NAME: &str = "system_catalog";
pub const DEFAULT_CATALOG_NAME: &str = "greptime";
pub const DEFAULT_CATALOG_NAME: &str = env!("DEFAULT_CATALOG_NAME");
pub const DEFAULT_SCHEMA_NAME: &str = "public";
pub const DEFAULT_PRIVATE_SCHEMA_NAME: &str = "greptime_private";
pub const DEFAULT_PRIVATE_SCHEMA_NAME: &str = concatcp!(DEFAULT_CATALOG_NAME, "_private");
/// Reserves [0,MIN_USER_FLOW_ID) for internal usage.
/// User defined table id starts from this value.
@@ -84,8 +86,6 @@ pub const INFORMATION_SCHEMA_TRIGGERS_TABLE_ID: u32 = 24;
pub const INFORMATION_SCHEMA_GLOBAL_STATUS_TABLE_ID: u32 = 25;
/// id for information_schema.SESSION_STATUS
pub const INFORMATION_SCHEMA_SESSION_STATUS_TABLE_ID: u32 = 26;
/// id for information_schema.RUNTIME_METRICS
pub const INFORMATION_SCHEMA_RUNTIME_METRICS_TABLE_ID: u32 = 27;
/// id for information_schema.PARTITIONS
pub const INFORMATION_SCHEMA_PARTITIONS_TABLE_ID: u32 = 28;
/// id for information_schema.REGION_PEERS
@@ -110,6 +110,8 @@ pub const INFORMATION_SCHEMA_SSTS_MANIFEST_TABLE_ID: u32 = 37;
pub const INFORMATION_SCHEMA_SSTS_STORAGE_TABLE_ID: u32 = 38;
/// id for information_schema.ssts_index_meta
pub const INFORMATION_SCHEMA_SSTS_INDEX_META_TABLE_ID: u32 = 39;
/// id for information_schema.alerts
pub const INFORMATION_SCHEMA_ALERTS_TABLE_ID: u32 = 40;
// ----- End of information_schema tables -----
@@ -150,4 +152,9 @@ pub const TRACE_TABLE_NAME_SESSION_KEY: &str = "trace_table_name";
pub fn trace_services_table_name(trace_table_name: &str) -> String {
format!("{}_services", trace_table_name)
}
/// Generate the trace operations table name from the trace table name by adding `_operations` suffix.
pub fn trace_operations_table_name(trace_table_name: &str) -> String {
format!("{}_operations", trace_table_name)
}
// ---- End of special table and fields ----

View File

@@ -11,7 +11,6 @@ workspace = true
common-base.workspace = true
common-error.workspace = true
common-macro.workspace = true
common-stat.workspace = true
config.workspace = true
humantime-serde.workspace = true
object-store.workspace = true

View File

@@ -14,7 +14,6 @@
pub mod config;
pub mod error;
pub mod utils;
use std::time::Duration;

View File

@@ -1,34 +0,0 @@
// Copyright 2023 Greptime Team
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use common_base::readable_size::ReadableSize;
use common_stat::{get_total_cpu_millicores, get_total_memory_readable};
/// `ResourceSpec` holds the static resource specifications of a node,
/// such as CPU cores and memory capacity. These values are fixed
/// at startup and do not change dynamically during runtime.
#[derive(Debug, Clone, Copy)]
pub struct ResourceSpec {
pub cpus: i64,
pub memory: Option<ReadableSize>,
}
impl Default for ResourceSpec {
fn default() -> Self {
Self {
cpus: get_total_cpu_millicores(),
memory: get_total_memory_readable(),
}
}
}

View File

@@ -36,7 +36,7 @@ object_store_opendal.workspace = true
orc-rust = { version = "0.6.3", default-features = false, features = ["async"] }
parquet.workspace = true
paste.workspace = true
regex = "1.7"
regex.workspace = true
serde.workspace = true
snafu.workspace = true
strum.workspace = true

View File

@@ -12,28 +12,11 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use std::future::Future;
use arrow::record_batch::RecordBatch;
use async_trait::async_trait;
use datafusion::parquet::format::FileMetaData;
use snafu::{OptionExt, ResultExt};
use tokio::io::{AsyncWrite, AsyncWriteExt};
use crate::error::{self, Result};
use crate::share_buffer::SharedBuffer;
pub struct LazyBufferedWriter<T, U, F> {
path: String,
writer_factory: F,
writer: Option<T>,
/// None stands for [`LazyBufferedWriter`] closed.
encoder: Option<U>,
buffer: SharedBuffer,
rows_written: usize,
bytes_written: u64,
threshold: usize,
}
use crate::error::Result;
pub trait DfRecordBatchEncoder {
fn write(&mut self, batch: &RecordBatch) -> Result<()>;
@@ -43,126 +26,3 @@ pub trait DfRecordBatchEncoder {
pub trait ArrowWriterCloser {
async fn close(mut self) -> Result<FileMetaData>;
}
impl<
T: AsyncWrite + Send + Unpin,
U: DfRecordBatchEncoder + ArrowWriterCloser,
F: Fn(String) -> Fut,
Fut: Future<Output = Result<T>>,
> LazyBufferedWriter<T, U, F>
{
/// Closes `LazyBufferedWriter` and optionally flushes all data to underlying storage
/// if any row's been written.
pub async fn close_with_arrow_writer(mut self) -> Result<(FileMetaData, u64)> {
let encoder = self
.encoder
.take()
.context(error::BufferedWriterClosedSnafu)?;
let metadata = encoder.close().await?;
// It's important to shut down! flushes all pending writes
self.close_inner_writer().await?;
Ok((metadata, self.bytes_written))
}
}
impl<
T: AsyncWrite + Send + Unpin,
U: DfRecordBatchEncoder,
F: Fn(String) -> Fut,
Fut: Future<Output = Result<T>>,
> LazyBufferedWriter<T, U, F>
{
/// Closes the writer and flushes the buffer data.
pub async fn close_inner_writer(&mut self) -> Result<()> {
// Use `rows_written` to keep a track of if any rows have been written.
// If no row's been written, then we can simply close the underlying
// writer without flush so that no file will be actually created.
if self.rows_written != 0 {
self.bytes_written += self.try_flush(true).await?;
}
if let Some(writer) = &mut self.writer {
writer.shutdown().await.context(error::AsyncWriteSnafu)?;
}
Ok(())
}
pub fn new(
threshold: usize,
buffer: SharedBuffer,
encoder: U,
path: impl AsRef<str>,
writer_factory: F,
) -> Self {
Self {
path: path.as_ref().to_string(),
threshold,
encoder: Some(encoder),
buffer,
rows_written: 0,
bytes_written: 0,
writer_factory,
writer: None,
}
}
pub async fn write(&mut self, batch: &RecordBatch) -> Result<()> {
let encoder = self
.encoder
.as_mut()
.context(error::BufferedWriterClosedSnafu)?;
encoder.write(batch)?;
self.rows_written += batch.num_rows();
self.bytes_written += self.try_flush(false).await?;
Ok(())
}
async fn try_flush(&mut self, all: bool) -> Result<u64> {
let mut bytes_written: u64 = 0;
// Once buffered data size reaches threshold, split the data in chunks (typically 4MB)
// and write to underlying storage.
while self.buffer.buffer.lock().unwrap().len() >= self.threshold {
let chunk = {
let mut buffer = self.buffer.buffer.lock().unwrap();
buffer.split_to(self.threshold)
};
let size = chunk.len();
self.maybe_init_writer()
.await?
.write_all(&chunk)
.await
.context(error::AsyncWriteSnafu)?;
bytes_written += size as u64;
}
if all {
bytes_written += self.try_flush_all().await?;
}
Ok(bytes_written)
}
/// Only initiates underlying file writer when rows have been written.
async fn maybe_init_writer(&mut self) -> Result<&mut T> {
if let Some(ref mut writer) = self.writer {
Ok(writer)
} else {
let writer = (self.writer_factory)(self.path.clone()).await?;
Ok(self.writer.insert(writer))
}
}
async fn try_flush_all(&mut self) -> Result<u64> {
let remain = self.buffer.buffer.lock().unwrap().split();
let size = remain.len();
self.maybe_init_writer()
.await?
.write_all(&remain)
.await
.context(error::AsyncWriteSnafu)?;
Ok(size as u64)
}
}

View File

@@ -0,0 +1,202 @@
// Copyright 2023 Greptime Team
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::io;
use std::pin::Pin;
use std::task::{Context, Poll};
use async_compression::tokio::write::{BzEncoder, GzipEncoder, XzEncoder, ZstdEncoder};
use snafu::ResultExt;
use tokio::io::{AsyncWrite, AsyncWriteExt};
use crate::compression::CompressionType;
use crate::error::{self, Result};
/// A compressed writer that wraps an underlying async writer with compression.
///
/// This writer supports multiple compression formats including GZIP, BZIP2, XZ, and ZSTD.
/// It provides transparent compression for any async writer implementation.
pub struct CompressedWriter {
inner: Box<dyn AsyncWrite + Unpin + Send>,
compression_type: CompressionType,
}
impl CompressedWriter {
/// Creates a new compressed writer with the specified compression type.
///
/// # Arguments
///
/// * `writer` - The underlying writer to wrap with compression
/// * `compression_type` - The type of compression to apply
pub fn new(
writer: impl AsyncWrite + Unpin + Send + 'static,
compression_type: CompressionType,
) -> Self {
let inner: Box<dyn AsyncWrite + Unpin + Send> = match compression_type {
CompressionType::Gzip => Box::new(GzipEncoder::new(writer)),
CompressionType::Bzip2 => Box::new(BzEncoder::new(writer)),
CompressionType::Xz => Box::new(XzEncoder::new(writer)),
CompressionType::Zstd => Box::new(ZstdEncoder::new(writer)),
CompressionType::Uncompressed => Box::new(writer),
};
Self {
inner,
compression_type,
}
}
/// Returns the compression type used by this writer.
pub fn compression_type(&self) -> CompressionType {
self.compression_type
}
/// Flush the writer and shutdown compression
pub async fn shutdown(mut self) -> Result<()> {
self.inner
.shutdown()
.await
.context(error::AsyncWriteSnafu)?;
Ok(())
}
}
impl AsyncWrite for CompressedWriter {
fn poll_write(
mut self: Pin<&mut Self>,
cx: &mut Context<'_>,
buf: &[u8],
) -> Poll<io::Result<usize>> {
Pin::new(&mut self.inner).poll_write(cx, buf)
}
fn poll_flush(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<io::Result<()>> {
Pin::new(&mut self.inner).poll_flush(cx)
}
fn poll_shutdown(mut self: Pin<&mut Self>, cx: &mut Context<'_>) -> Poll<io::Result<()>> {
Pin::new(&mut self.inner).poll_shutdown(cx)
}
}
/// A trait for converting async writers into compressed writers.
///
/// This trait is automatically implemented for all types that implement [`AsyncWrite`].
pub trait IntoCompressedWriter {
/// Converts this writer into a [`CompressedWriter`] with the specified compression type.
///
/// # Arguments
///
/// * `self` - The underlying writer to wrap with compression
/// * `compression_type` - The type of compression to apply
fn into_compressed_writer(self, compression_type: CompressionType) -> CompressedWriter
where
Self: AsyncWrite + Unpin + Send + 'static + Sized,
{
CompressedWriter::new(self, compression_type)
}
}
impl<W: AsyncWrite + Unpin + Send + 'static> IntoCompressedWriter for W {}
#[cfg(test)]
mod tests {
use tokio::io::{AsyncReadExt, AsyncWriteExt, duplex};
use super::*;
#[tokio::test]
async fn test_compressed_writer_gzip() {
let (duplex_writer, mut duplex_reader) = duplex(1024);
let mut writer = duplex_writer.into_compressed_writer(CompressionType::Gzip);
let original = b"test data for gzip compression";
writer.write_all(original).await.unwrap();
writer.shutdown().await.unwrap();
let mut buffer = Vec::new();
duplex_reader.read_to_end(&mut buffer).await.unwrap();
// The compressed data should be different from the original
assert_ne!(buffer, original);
assert!(!buffer.is_empty());
}
#[tokio::test]
async fn test_compressed_writer_bzip2() {
let (duplex_writer, mut duplex_reader) = duplex(1024);
let mut writer = duplex_writer.into_compressed_writer(CompressionType::Bzip2);
let original = b"test data for bzip2 compression";
writer.write_all(original).await.unwrap();
writer.shutdown().await.unwrap();
let mut buffer = Vec::new();
duplex_reader.read_to_end(&mut buffer).await.unwrap();
// The compressed data should be different from the original
assert_ne!(buffer, original);
assert!(!buffer.is_empty());
}
#[tokio::test]
async fn test_compressed_writer_xz() {
let (duplex_writer, mut duplex_reader) = duplex(1024);
let mut writer = duplex_writer.into_compressed_writer(CompressionType::Xz);
let original = b"test data for xz compression";
writer.write_all(original).await.unwrap();
writer.shutdown().await.unwrap();
let mut buffer = Vec::new();
duplex_reader.read_to_end(&mut buffer).await.unwrap();
// The compressed data should be different from the original
assert_ne!(buffer, original);
assert!(!buffer.is_empty());
}
#[tokio::test]
async fn test_compressed_writer_zstd() {
let (duplex_writer, mut duplex_reader) = duplex(1024);
let mut writer = duplex_writer.into_compressed_writer(CompressionType::Zstd);
let original = b"test data for zstd compression";
writer.write_all(original).await.unwrap();
writer.shutdown().await.unwrap();
let mut buffer = Vec::new();
duplex_reader.read_to_end(&mut buffer).await.unwrap();
// The compressed data should be different from the original
assert_ne!(buffer, original);
assert!(!buffer.is_empty());
}
#[tokio::test]
async fn test_compressed_writer_uncompressed() {
let (duplex_writer, mut duplex_reader) = duplex(1024);
let mut writer = duplex_writer.into_compressed_writer(CompressionType::Uncompressed);
let original = b"test data for uncompressed";
writer.write_all(original).await.unwrap();
writer.shutdown().await.unwrap();
let mut buffer = Vec::new();
duplex_reader.read_to_end(&mut buffer).await.unwrap();
// Uncompressed data should be the same as the original
assert_eq!(buffer, original);
}
}

View File

@@ -194,12 +194,6 @@ pub enum Error {
location: Location,
},
#[snafu(display("Buffered writer closed"))]
BufferedWriterClosed {
#[snafu(implicit)]
location: Location,
},
#[snafu(display("Failed to write parquet file, path: {}", path))]
WriteParquet {
path: String,
@@ -208,6 +202,14 @@ pub enum Error {
#[snafu(source)]
error: parquet::errors::ParquetError,
},
#[snafu(display("Failed to build file stream"))]
BuildFileStream {
#[snafu(implicit)]
location: Location,
#[snafu(source)]
error: datafusion::error::DataFusionError,
},
}
pub type Result<T> = std::result::Result<T, Error>;
@@ -239,7 +241,7 @@ impl ErrorExt for Error {
| ReadRecordBatch { .. }
| WriteRecordBatch { .. }
| EncodeRecordBatch { .. }
| BufferedWriterClosed { .. }
| BuildFileStream { .. }
| OrcReader { .. } => StatusCode::Unexpected,
}
}

View File

@@ -30,12 +30,22 @@ use arrow::record_batch::RecordBatch;
use arrow_schema::{ArrowError, Schema as ArrowSchema};
use async_trait::async_trait;
use bytes::{Buf, Bytes};
use datafusion::datasource::physical_plan::FileOpenFuture;
use common_recordbatch::DfSendableRecordBatchStream;
use datafusion::datasource::file_format::file_compression_type::FileCompressionType as DfCompressionType;
use datafusion::datasource::listing::PartitionedFile;
use datafusion::datasource::object_store::ObjectStoreUrl;
use datafusion::datasource::physical_plan::{
FileGroup, FileOpenFuture, FileScanConfigBuilder, FileSource, FileStream,
};
use datafusion::error::{DataFusionError, Result as DataFusionResult};
use datafusion::physical_plan::SendableRecordBatchStream;
use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet;
use datatypes::arrow::datatypes::SchemaRef;
use futures::{StreamExt, TryStreamExt};
use object_store::ObjectStore;
use object_store_opendal::OpendalStore;
use snafu::ResultExt;
use tokio::io::AsyncWriteExt;
use tokio_util::compat::FuturesAsyncWriteCompatExt;
use self::csv::CsvFormat;
@@ -43,7 +53,8 @@ use self::json::JsonFormat;
use self::orc::OrcFormat;
use self::parquet::ParquetFormat;
use crate::DEFAULT_WRITE_BUFFER_SIZE;
use crate::buffered_writer::{DfRecordBatchEncoder, LazyBufferedWriter};
use crate::buffered_writer::DfRecordBatchEncoder;
use crate::compressed_writer::{CompressedWriter, IntoCompressedWriter};
use crate::compression::CompressionType;
use crate::error::{self, Result};
use crate::share_buffer::SharedBuffer;
@@ -195,33 +206,128 @@ pub async fn infer_schemas(
ArrowSchema::try_merge(schemas).context(error::MergeSchemaSnafu)
}
pub async fn stream_to_file<T: DfRecordBatchEncoder, U: Fn(SharedBuffer) -> T>(
/// Writes data to a compressed writer if the data is not empty.
///
/// Does nothing if `data` is empty; otherwise writes all data and returns any error.
async fn write_to_compressed_writer(
compressed_writer: &mut CompressedWriter,
data: &[u8],
) -> Result<()> {
if !data.is_empty() {
compressed_writer
.write_all(data)
.await
.context(error::AsyncWriteSnafu)?;
}
Ok(())
}
/// Streams [SendableRecordBatchStream] to a file with optional compression support.
/// Data is buffered and flushed according to the given `threshold`.
/// Ensures that writer resources are cleanly released and that an empty file is not
/// created if no rows are written.
///
/// Returns the total number of rows successfully written.
pub async fn stream_to_file<E>(
mut stream: SendableRecordBatchStream,
store: ObjectStore,
path: &str,
threshold: usize,
concurrency: usize,
encoder_factory: U,
) -> Result<usize> {
let buffer = SharedBuffer::with_capacity(threshold);
let encoder = encoder_factory(buffer.clone());
let mut writer = LazyBufferedWriter::new(threshold, buffer, encoder, path, |path| async {
store
.writer_with(&path)
compression_type: CompressionType,
encoder_factory: impl Fn(SharedBuffer) -> E,
) -> Result<usize>
where
E: DfRecordBatchEncoder,
{
// Create the file writer with OpenDAL's built-in buffering
let writer = store
.writer_with(path)
.concurrent(concurrency)
.chunk(DEFAULT_WRITE_BUFFER_SIZE.as_bytes() as usize)
.await
.map(|v| v.into_futures_async_write().compat_write())
.context(error::WriteObjectSnafu { path })
});
.with_context(|_| error::WriteObjectSnafu { path })?
.into_futures_async_write()
.compat_write();
// Apply compression if needed
let mut compressed_writer = writer.into_compressed_writer(compression_type);
// Create a buffer for the encoder
let buffer = SharedBuffer::with_capacity(threshold);
let mut encoder = encoder_factory(buffer.clone());
let mut rows = 0;
// Process each record batch
while let Some(batch) = stream.next().await {
let batch = batch.context(error::ReadRecordBatchSnafu)?;
writer.write(&batch).await?;
// Write batch using the encoder
encoder.write(&batch)?;
rows += batch.num_rows();
loop {
let chunk = {
let mut buffer_guard = buffer.buffer.lock().unwrap();
if buffer_guard.len() < threshold {
break;
}
writer.close_inner_writer().await?;
buffer_guard.split_to(threshold)
};
write_to_compressed_writer(&mut compressed_writer, &chunk).await?;
}
}
// If no row's been written, just simply close the underlying writer
// without flush so that no file will be actually created.
if rows != 0 {
// Final flush of any remaining data
let final_data = {
let mut buffer_guard = buffer.buffer.lock().unwrap();
buffer_guard.split()
};
write_to_compressed_writer(&mut compressed_writer, &final_data).await?;
}
// Shutdown compression and close writer
compressed_writer.shutdown().await?;
Ok(rows)
}
/// Creates a [FileStream] for reading data from a file with optional column projection
/// and compression support.
///
/// Returns [SendableRecordBatchStream].
pub async fn file_to_stream(
store: &ObjectStore,
filename: &str,
file_schema: SchemaRef,
file_source: Arc<dyn FileSource>,
projection: Option<Vec<usize>>,
compression_type: CompressionType,
) -> Result<DfSendableRecordBatchStream> {
let df_compression: DfCompressionType = compression_type.into();
let config = FileScanConfigBuilder::new(
ObjectStoreUrl::local_filesystem(),
file_schema,
file_source.clone(),
)
.with_file_group(FileGroup::new(vec![PartitionedFile::new(
filename.to_string(),
0,
)]))
.with_projection(projection)
.with_file_compression_type(df_compression)
.build();
let store = Arc::new(OpendalStore::new(store.clone()));
let file_opener = file_source
.with_projection(&config)
.create_file_opener(store, &config, 0);
let stream = FileStream::new(&config, 0, file_opener, &ExecutionPlanMetricsSet::new())
.context(error::BuildFileStreamSnafu)?;
Ok(Box::pin(stream))
}

View File

@@ -157,7 +157,14 @@ pub async fn stream_to_csv(
concurrency: usize,
format: &CsvFormat,
) -> Result<usize> {
stream_to_file(stream, store, path, threshold, concurrency, |buffer| {
stream_to_file(
stream,
store,
path,
threshold,
concurrency,
format.compression_type,
|buffer| {
let mut builder = WriterBuilder::new();
if let Some(timestamp_format) = &format.timestamp_format {
builder = builder.with_timestamp_format(timestamp_format.to_owned())
@@ -169,7 +176,8 @@ pub async fn stream_to_csv(
builder = builder.with_time_format(time_format.to_owned())
}
builder.build(buffer)
})
},
)
.await
}
@@ -181,13 +189,21 @@ impl DfRecordBatchEncoder for csv::Writer<SharedBuffer> {
#[cfg(test)]
mod tests {
use std::sync::Arc;
use common_recordbatch::adapter::DfRecordBatchStreamAdapter;
use common_recordbatch::{RecordBatch, RecordBatches};
use common_test_util::find_workspace_path;
use datafusion::datasource::physical_plan::{CsvSource, FileSource};
use datatypes::prelude::ConcreteDataType;
use datatypes::schema::{ColumnSchema, Schema};
use datatypes::vectors::{Float64Vector, StringVector, UInt32Vector, VectorRef};
use futures::TryStreamExt;
use super::*;
use crate::file_format::{
FORMAT_COMPRESSION_TYPE, FORMAT_DELIMITER, FORMAT_HAS_HEADER,
FORMAT_SCHEMA_INFER_MAX_RECORD, FileFormat,
FORMAT_SCHEMA_INFER_MAX_RECORD, FileFormat, file_to_stream,
};
use crate::test_util::{format_schema, test_store};
@@ -297,4 +313,166 @@ mod tests {
}
);
}
#[tokio::test]
async fn test_compressed_csv() {
// Create test data
let column_schemas = vec![
ColumnSchema::new("id", ConcreteDataType::uint32_datatype(), false),
ColumnSchema::new("name", ConcreteDataType::string_datatype(), false),
ColumnSchema::new("value", ConcreteDataType::float64_datatype(), false),
];
let schema = Arc::new(Schema::new(column_schemas));
// Create multiple record batches with different data
let batch1_columns: Vec<VectorRef> = vec![
Arc::new(UInt32Vector::from_slice(vec![1, 2, 3])),
Arc::new(StringVector::from(vec!["Alice", "Bob", "Charlie"])),
Arc::new(Float64Vector::from_slice(vec![10.5, 20.3, 30.7])),
];
let batch1 = RecordBatch::new(schema.clone(), batch1_columns).unwrap();
let batch2_columns: Vec<VectorRef> = vec![
Arc::new(UInt32Vector::from_slice(vec![4, 5, 6])),
Arc::new(StringVector::from(vec!["David", "Eva", "Frank"])),
Arc::new(Float64Vector::from_slice(vec![40.1, 50.2, 60.3])),
];
let batch2 = RecordBatch::new(schema.clone(), batch2_columns).unwrap();
let batch3_columns: Vec<VectorRef> = vec![
Arc::new(UInt32Vector::from_slice(vec![7, 8, 9])),
Arc::new(StringVector::from(vec!["Grace", "Henry", "Ivy"])),
Arc::new(Float64Vector::from_slice(vec![70.4, 80.5, 90.6])),
];
let batch3 = RecordBatch::new(schema.clone(), batch3_columns).unwrap();
// Combine all batches into a RecordBatches collection
let recordbatches = RecordBatches::try_new(schema, vec![batch1, batch2, batch3]).unwrap();
// Test with different compression types
let compression_types = vec![
CompressionType::Gzip,
CompressionType::Bzip2,
CompressionType::Xz,
CompressionType::Zstd,
];
// Create a temporary file path
let temp_dir = common_test_util::temp_dir::create_temp_dir("test_compressed_csv");
for compression_type in compression_types {
let format = CsvFormat {
compression_type,
..CsvFormat::default()
};
// Use correct format without Debug formatter
let compressed_file_name =
format!("test_compressed_csv.{}", compression_type.file_extension());
let compressed_file_path = temp_dir.path().join(&compressed_file_name);
let compressed_file_path_str = compressed_file_path.to_str().unwrap();
// Create a simple file store for testing
let store = test_store("/");
// Export CSV with compression
let rows = stream_to_csv(
Box::pin(DfRecordBatchStreamAdapter::new(recordbatches.as_stream())),
store,
compressed_file_path_str,
1024,
1,
&format,
)
.await
.unwrap();
assert_eq!(rows, 9);
// Verify compressed file was created and has content
assert!(compressed_file_path.exists());
let file_size = std::fs::metadata(&compressed_file_path).unwrap().len();
assert!(file_size > 0);
// Verify the file is actually compressed
let file_content = std::fs::read(&compressed_file_path).unwrap();
// Compressed files should not start with CSV header
// They should have compression magic bytes
match compression_type {
CompressionType::Gzip => {
// Gzip magic bytes: 0x1f 0x8b
assert_eq!(file_content[0], 0x1f, "Gzip file should start with 0x1f");
assert_eq!(
file_content[1], 0x8b,
"Gzip file should have 0x8b as second byte"
);
}
CompressionType::Bzip2 => {
// Bzip2 magic bytes: 'BZ'
assert_eq!(file_content[0], b'B', "Bzip2 file should start with 'B'");
assert_eq!(
file_content[1], b'Z',
"Bzip2 file should have 'Z' as second byte"
);
}
CompressionType::Xz => {
// XZ magic bytes: 0xFD '7zXZ'
assert_eq!(file_content[0], 0xFD, "XZ file should start with 0xFD");
}
CompressionType::Zstd => {
// Zstd magic bytes: 0x28 0xB5 0x2F 0xFD
assert_eq!(file_content[0], 0x28, "Zstd file should start with 0x28");
assert_eq!(
file_content[1], 0xB5,
"Zstd file should have 0xB5 as second byte"
);
}
_ => {}
}
// Verify the compressed file can be decompressed and content matches original data
let store = test_store("/");
let schema = Arc::new(
CsvFormat {
compression_type,
..Default::default()
}
.infer_schema(&store, compressed_file_path_str)
.await
.unwrap(),
);
let csv_source = CsvSource::new(true, b',', b'"')
.with_schema(schema.clone())
.with_batch_size(8192);
let stream = file_to_stream(
&store,
compressed_file_path_str,
schema.clone(),
csv_source.clone(),
None,
compression_type,
)
.await
.unwrap();
let batches = stream.try_collect::<Vec<_>>().await.unwrap();
let pretty_print = arrow::util::pretty::pretty_format_batches(&batches)
.unwrap()
.to_string();
let expected = r#"+----+---------+-------+
| id | name | value |
+----+---------+-------+
| 1 | Alice | 10.5 |
| 2 | Bob | 20.3 |
| 3 | Charlie | 30.7 |
| 4 | David | 40.1 |
| 5 | Eva | 50.2 |
| 6 | Frank | 60.3 |
| 7 | Grace | 70.4 |
| 8 | Henry | 80.5 |
| 9 | Ivy | 90.6 |
+----+---------+-------+"#;
assert_eq!(expected, pretty_print);
}
}
}

View File

@@ -115,10 +115,17 @@ pub async fn stream_to_json(
path: &str,
threshold: usize,
concurrency: usize,
format: &JsonFormat,
) -> Result<usize> {
stream_to_file(stream, store, path, threshold, concurrency, |buffer| {
json::LineDelimitedWriter::new(buffer)
})
stream_to_file(
stream,
store,
path,
threshold,
concurrency,
format.compression_type,
json::LineDelimitedWriter::new,
)
.await
}
@@ -130,10 +137,21 @@ impl DfRecordBatchEncoder for json::Writer<SharedBuffer, LineDelimited> {
#[cfg(test)]
mod tests {
use std::sync::Arc;
use common_recordbatch::adapter::DfRecordBatchStreamAdapter;
use common_recordbatch::{RecordBatch, RecordBatches};
use common_test_util::find_workspace_path;
use datafusion::datasource::physical_plan::{FileSource, JsonSource};
use datatypes::prelude::ConcreteDataType;
use datatypes::schema::{ColumnSchema, Schema};
use datatypes::vectors::{Float64Vector, StringVector, UInt32Vector, VectorRef};
use futures::TryStreamExt;
use super::*;
use crate::file_format::{FORMAT_COMPRESSION_TYPE, FORMAT_SCHEMA_INFER_MAX_RECORD, FileFormat};
use crate::file_format::{
FORMAT_COMPRESSION_TYPE, FORMAT_SCHEMA_INFER_MAX_RECORD, FileFormat, file_to_stream,
};
use crate::test_util::{format_schema, test_store};
fn test_data_root() -> String {
@@ -203,4 +221,165 @@ mod tests {
}
);
}
#[tokio::test]
async fn test_compressed_json() {
// Create test data
let column_schemas = vec![
ColumnSchema::new("id", ConcreteDataType::uint32_datatype(), false),
ColumnSchema::new("name", ConcreteDataType::string_datatype(), false),
ColumnSchema::new("value", ConcreteDataType::float64_datatype(), false),
];
let schema = Arc::new(Schema::new(column_schemas));
// Create multiple record batches with different data
let batch1_columns: Vec<VectorRef> = vec![
Arc::new(UInt32Vector::from_slice(vec![1, 2, 3])),
Arc::new(StringVector::from(vec!["Alice", "Bob", "Charlie"])),
Arc::new(Float64Vector::from_slice(vec![10.5, 20.3, 30.7])),
];
let batch1 = RecordBatch::new(schema.clone(), batch1_columns).unwrap();
let batch2_columns: Vec<VectorRef> = vec![
Arc::new(UInt32Vector::from_slice(vec![4, 5, 6])),
Arc::new(StringVector::from(vec!["David", "Eva", "Frank"])),
Arc::new(Float64Vector::from_slice(vec![40.1, 50.2, 60.3])),
];
let batch2 = RecordBatch::new(schema.clone(), batch2_columns).unwrap();
let batch3_columns: Vec<VectorRef> = vec![
Arc::new(UInt32Vector::from_slice(vec![7, 8, 9])),
Arc::new(StringVector::from(vec!["Grace", "Henry", "Ivy"])),
Arc::new(Float64Vector::from_slice(vec![70.4, 80.5, 90.6])),
];
let batch3 = RecordBatch::new(schema.clone(), batch3_columns).unwrap();
// Combine all batches into a RecordBatches collection
let recordbatches = RecordBatches::try_new(schema, vec![batch1, batch2, batch3]).unwrap();
// Test with different compression types
let compression_types = vec![
CompressionType::Gzip,
CompressionType::Bzip2,
CompressionType::Xz,
CompressionType::Zstd,
];
// Create a temporary file path
let temp_dir = common_test_util::temp_dir::create_temp_dir("test_compressed_json");
for compression_type in compression_types {
let format = JsonFormat {
compression_type,
..JsonFormat::default()
};
let compressed_file_name =
format!("test_compressed_json.{}", compression_type.file_extension());
let compressed_file_path = temp_dir.path().join(&compressed_file_name);
let compressed_file_path_str = compressed_file_path.to_str().unwrap();
// Create a simple file store for testing
let store = test_store("/");
// Export JSON with compression
let rows = stream_to_json(
Box::pin(DfRecordBatchStreamAdapter::new(recordbatches.as_stream())),
store,
compressed_file_path_str,
1024,
1,
&format,
)
.await
.unwrap();
assert_eq!(rows, 9);
// Verify compressed file was created and has content
assert!(compressed_file_path.exists());
let file_size = std::fs::metadata(&compressed_file_path).unwrap().len();
assert!(file_size > 0);
// Verify the file is actually compressed
let file_content = std::fs::read(&compressed_file_path).unwrap();
// Compressed files should not start with '{' (JSON character)
// They should have compression magic bytes
match compression_type {
CompressionType::Gzip => {
// Gzip magic bytes: 0x1f 0x8b
assert_eq!(file_content[0], 0x1f, "Gzip file should start with 0x1f");
assert_eq!(
file_content[1], 0x8b,
"Gzip file should have 0x8b as second byte"
);
}
CompressionType::Bzip2 => {
// Bzip2 magic bytes: 'BZ'
assert_eq!(file_content[0], b'B', "Bzip2 file should start with 'B'");
assert_eq!(
file_content[1], b'Z',
"Bzip2 file should have 'Z' as second byte"
);
}
CompressionType::Xz => {
// XZ magic bytes: 0xFD '7zXZ'
assert_eq!(file_content[0], 0xFD, "XZ file should start with 0xFD");
}
CompressionType::Zstd => {
// Zstd magic bytes: 0x28 0xB5 0x2F 0xFD
assert_eq!(file_content[0], 0x28, "Zstd file should start with 0x28");
assert_eq!(
file_content[1], 0xB5,
"Zstd file should have 0xB5 as second byte"
);
}
_ => {}
}
// Verify the compressed file can be decompressed and content matches original data
let store = test_store("/");
let schema = Arc::new(
JsonFormat {
compression_type,
..Default::default()
}
.infer_schema(&store, compressed_file_path_str)
.await
.unwrap(),
);
let json_source = JsonSource::new()
.with_schema(schema.clone())
.with_batch_size(8192);
let stream = file_to_stream(
&store,
compressed_file_path_str,
schema.clone(),
json_source.clone(),
None,
compression_type,
)
.await
.unwrap();
let batches = stream.try_collect::<Vec<_>>().await.unwrap();
let pretty_print = arrow::util::pretty::pretty_format_batches(&batches)
.unwrap()
.to_string();
let expected = r#"+----+---------+-------+
| id | name | value |
+----+---------+-------+
| 1 | Alice | 10.5 |
| 2 | Bob | 20.3 |
| 3 | Charlie | 30.7 |
| 4 | David | 40.1 |
| 5 | Eva | 50.2 |
| 6 | Frank | 60.3 |
| 7 | Grace | 70.4 |
| 8 | Henry | 80.5 |
| 9 | Ivy | 90.6 |
+----+---------+-------+"#;
assert_eq!(expected, pretty_print);
}
}
}

View File

@@ -16,6 +16,7 @@
#![feature(type_alias_impl_trait)]
pub mod buffered_writer;
pub mod compressed_writer;
pub mod compression;
pub mod error;
pub mod file_format;

View File

@@ -28,7 +28,7 @@ use object_store::ObjectStore;
use object_store::services::Fs;
use crate::file_format::csv::{CsvFormat, stream_to_csv};
use crate::file_format::json::stream_to_json;
use crate::file_format::json::{JsonFormat, stream_to_json};
use crate::test_util;
pub const TEST_BATCH_SIZE: usize = 100;
@@ -122,13 +122,16 @@ pub async fn setup_stream_to_json_test(origin_path: &str, threshold: impl Fn(usi
let output_path = format!("{}/{}", dir.path().display(), "output");
let json_format = JsonFormat::default();
assert!(
stream_to_json(
Box::pin(stream),
tmp_store.clone(),
&output_path,
threshold(size),
8
8,
&json_format,
)
.await
.is_ok()

View File

@@ -45,3 +45,19 @@ pub fn from_err_code_msg_to_header(code: u32, msg: &str) -> HeaderMap {
header.insert(GREPTIME_DB_HEADER_ERROR_MSG, msg);
header
}
/// Returns the external root cause of the source error (exclude the current error).
pub fn root_source(err: &dyn std::error::Error) -> Option<&dyn std::error::Error> {
// There are some divergence about the behavior of the `sources()` API
// in https://github.com/rust-lang/rust/issues/58520
// So this function iterates the sources manually.
let mut root = err.source();
while let Some(r) = root {
if let Some(s) = r.source() {
root = Some(s);
} else {
break;
}
}
root
}

View File

@@ -97,9 +97,9 @@ pub trait Event: Send + Sync + Debug {
vec![]
}
/// Add the extra row to the event with the default row.
fn extra_row(&self) -> Result<Row> {
Ok(Row { values: vec![] })
/// Add the extra rows to the event with the default row.
fn extra_rows(&self) -> Result<Vec<Row>> {
Ok(vec![Row { values: vec![] }])
}
/// Returns the event as any type.
@@ -159,7 +159,8 @@ pub fn build_row_inserts_request(events: &[&Box<dyn Event>]) -> Result<RowInsert
let mut rows: Vec<Row> = Vec::with_capacity(events.len());
for event in events {
let extra_row = event.extra_row()?;
let extra_rows = event.extra_rows()?;
for extra_row in extra_rows {
let mut values = Vec::with_capacity(3 + extra_row.values.len());
values.extend([
ValueData::StringValue(event.event_type().to_string()).into(),
@@ -169,6 +170,7 @@ pub fn build_row_inserts_request(events: &[&Box<dyn Event>]) -> Result<RowInsert
values.extend(extra_row.values);
rows.push(Row { values });
}
}
Ok(RowInsertRequests {
inserts: vec![RowInsertRequest {

View File

@@ -104,7 +104,7 @@ impl MetaClientSelector {
let cfg = ChannelConfig::new()
.connect_timeout(Duration::from_secs(30))
.timeout(Duration::from_secs(30));
let channel_manager = ChannelManager::with_config(cfg);
let channel_manager = ChannelManager::with_config(cfg, None);
Self {
meta_client,
channel_manager,

View File

@@ -107,8 +107,8 @@ impl Event for SlowQueryEvent {
]
}
fn extra_row(&self) -> Result<Row> {
Ok(Row {
fn extra_rows(&self) -> Result<Vec<Row>> {
Ok(vec![Row {
values: vec![
ValueData::U64Value(self.cost).into(),
ValueData::U64Value(self.threshold).into(),
@@ -119,7 +119,7 @@ impl Event for SlowQueryEvent {
ValueData::TimestampMillisecondValue(self.promql_start.unwrap_or(0)).into(),
ValueData::TimestampMillisecondValue(self.promql_end.unwrap_or(0)).into(),
],
})
}])
}
fn json_payload(&self) -> Result<String> {

View File

@@ -47,10 +47,12 @@ h3o = { version = "0.6", optional = true }
hyperloglogplus = "0.4"
jsonb.workspace = true
memchr = "2.7"
mito-codec.workspace = true
nalgebra.workspace = true
num = "0.4"
num-traits = "0.2"
paste.workspace = true
regex.workspace = true
s2 = { version = "0.0.12", optional = true }
serde.workspace = true
serde_json.workspace = true

View File

@@ -12,6 +12,7 @@
// See the License for the specific language governing permissions and
// limitations under the License.
mod build_index_table;
mod flush_compact_region;
mod flush_compact_table;
mod migrate_region;
@@ -26,6 +27,7 @@ use reconcile_catalog::ReconcileCatalogFunction;
use reconcile_database::ReconcileDatabaseFunction;
use reconcile_table::ReconcileTableFunction;
use crate::admin::build_index_table::BuildIndexFunction;
use crate::flush_flow::FlushFlowFunction;
use crate::function_registry::FunctionRegistry;
@@ -40,6 +42,7 @@ impl AdminFunction {
registry.register(CompactRegionFunction::factory());
registry.register(FlushTableFunction::factory());
registry.register(CompactTableFunction::factory());
registry.register(BuildIndexFunction::factory());
registry.register(FlushFlowFunction::factory());
registry.register(ReconcileCatalogFunction::factory());
registry.register(ReconcileDatabaseFunction::factory());

View File

@@ -0,0 +1,80 @@
// Copyright 2023 Greptime Team
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use arrow::datatypes::DataType as ArrowDataType;
use common_error::ext::BoxedError;
use common_macro::admin_fn;
use common_query::error::{
InvalidFuncArgsSnafu, MissingTableMutationHandlerSnafu, Result, TableMutationSnafu,
UnsupportedInputDataTypeSnafu,
};
use datafusion_expr::{Signature, Volatility};
use datatypes::prelude::*;
use session::context::QueryContextRef;
use session::table_name::table_name_to_full_name;
use snafu::{ResultExt, ensure};
use table::requests::BuildIndexTableRequest;
use crate::handlers::TableMutationHandlerRef;
#[admin_fn(
name = BuildIndexFunction,
display_name = build_index,
sig_fn = build_index_signature,
ret = uint64
)]
pub(crate) async fn build_index(
table_mutation_handler: &TableMutationHandlerRef,
query_ctx: &QueryContextRef,
params: &[ValueRef<'_>],
) -> Result<Value> {
ensure!(
params.len() == 1,
InvalidFuncArgsSnafu {
err_msg: format!(
"The length of the args is not correct, expect 1, have: {}",
params.len()
),
}
);
let ValueRef::String(table_name) = params[0] else {
return UnsupportedInputDataTypeSnafu {
function: "build_index",
datatypes: params.iter().map(|v| v.data_type()).collect::<Vec<_>>(),
}
.fail();
};
let (catalog_name, schema_name, table_name) = table_name_to_full_name(table_name, query_ctx)
.map_err(BoxedError::new)
.context(TableMutationSnafu)?;
let affected_rows = table_mutation_handler
.build_index(
BuildIndexTableRequest {
catalog_name,
schema_name,
table_name,
},
query_ctx.clone(),
)
.await?;
Ok(Value::from(affected_rows as u64))
}
fn build_index_signature() -> Signature {
Signature::uniform(1, vec![ArrowDataType::Utf8], Volatility::Immutable)
}

View File

@@ -29,6 +29,8 @@ use arrow::array::StructArray;
use arrow_schema::{FieldRef, Fields};
use common_telemetry::debug;
use datafusion::functions_aggregate::all_default_aggregate_functions;
use datafusion::functions_aggregate::count::Count;
use datafusion::functions_aggregate::min_max::{Max, Min};
use datafusion::optimizer::AnalyzerRule;
use datafusion::optimizer::analyzer::type_coercion::TypeCoercion;
use datafusion::physical_planner::create_aggregate_expr_and_maybe_filter;
@@ -413,6 +415,51 @@ impl AggregateUDFImpl for StateWrapper {
fn coerce_types(&self, arg_types: &[DataType]) -> datafusion_common::Result<Vec<DataType>> {
self.inner.coerce_types(arg_types)
}
fn value_from_stats(
&self,
statistics_args: &datafusion_expr::StatisticsArgs,
) -> Option<ScalarValue> {
let inner = self.inner().inner().as_any();
// only count/min/max need special handling here, for getting result from statistics
// the result of count/min/max is also the result of count_state so can return directly
let can_use_stat = inner.is::<Count>() || inner.is::<Max>() || inner.is::<Min>();
if !can_use_stat {
return None;
}
// fix return type by extract the first field's data type from the struct type
let state_type = if let DataType::Struct(fields) = &statistics_args.return_type {
if fields.is_empty() {
return None;
}
fields[0].data_type().clone()
} else {
return None;
};
let fixed_args = datafusion_expr::StatisticsArgs {
statistics: statistics_args.statistics,
return_type: &state_type,
is_distinct: statistics_args.is_distinct,
exprs: statistics_args.exprs,
};
let ret = self.inner().value_from_stats(&fixed_args)?;
// wrap the result into struct scalar value
let fields = if let DataType::Struct(fields) = &statistics_args.return_type {
fields
} else {
return None;
};
let array = ret.to_array().ok()?;
let struct_array = StructArray::new(fields.clone(), vec![array], None);
let ret = ScalarValue::Struct(Arc::new(struct_array));
Some(ret)
}
}
/// The wrapper's input is the same as the original aggregate function's input,

View File

@@ -12,10 +12,12 @@
// See the License for the specific language governing permissions and
// limitations under the License.
use crate::aggrs::vector::avg::VectorAvg;
use crate::aggrs::vector::product::VectorProduct;
use crate::aggrs::vector::sum::VectorSum;
use crate::function_registry::FunctionRegistry;
mod avg;
mod product;
mod sum;
@@ -25,5 +27,6 @@ impl VectorFunction {
pub fn register(registry: &FunctionRegistry) {
registry.register_aggr(VectorSum::uadf_impl());
registry.register_aggr(VectorProduct::uadf_impl());
registry.register_aggr(VectorAvg::uadf_impl());
}
}

View File

@@ -0,0 +1,270 @@
// Copyright 2023 Greptime Team
//
// Licensed under the Apache License, Version 2.0 (the "License");
// you may not use this file except in compliance with the License.
// You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software
// distributed under the License is distributed on an "AS IS" BASIS,
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
// See the License for the specific language governing permissions and
// limitations under the License.
use std::borrow::Cow;
use std::sync::Arc;
use arrow::array::{Array, ArrayRef, AsArray, BinaryArray, LargeStringArray, StringArray};
use arrow::compute::sum;
use arrow::datatypes::UInt64Type;
use arrow_schema::{DataType, Field};
use datafusion_common::{Result, ScalarValue};
use datafusion_expr::{
Accumulator, AggregateUDF, Signature, SimpleAggregateUDF, TypeSignature, Volatility,
};
use datafusion_functions_aggregate_common::accumulator::AccumulatorArgs;
use nalgebra::{Const, DVector, DVectorView, Dyn, OVector};
use crate::scalars::vector::impl_conv::{
binlit_as_veclit, parse_veclit_from_strlit, veclit_to_binlit,
};
/// The accumulator for the `vec_avg` aggregate function.
#[derive(Debug, Default)]
pub struct VectorAvg {
sum: Option<OVector<f32, Dyn>>,
count: u64,
}
impl VectorAvg {
/// Create a new `AggregateUDF` for the `vec_avg` aggregate function.
pub fn uadf_impl() -> AggregateUDF {
let signature = Signature::one_of(
vec![
TypeSignature::Exact(vec![DataType::Utf8]),
TypeSignature::Exact(vec![DataType::LargeUtf8]),
TypeSignature::Exact(vec![DataType::Binary]),
],
Volatility::Immutable,
);
let udaf = SimpleAggregateUDF::new_with_signature(
"vec_avg",
signature,
DataType::Binary,
Arc::new(Self::accumulator),
vec![
Arc::new(Field::new("sum", DataType::Binary, true)),
Arc::new(Field::new("count", DataType::UInt64, true)),
],
);
AggregateUDF::from(udaf)
}
fn accumulator(args: AccumulatorArgs) -> Result<Box<dyn Accumulator>> {
if args.schema.fields().len() != 1 {
return Err(datafusion_common::DataFusionError::Internal(format!(
"expect creating `VEC_AVG` with only one input field, actual {}",
args.schema.fields().len()
)));
}
let t = args.schema.field(0).data_type();
if !matches!(t, DataType::Utf8 | DataType::LargeUtf8 | DataType::Binary) {
return Err(datafusion_common::DataFusionError::Internal(format!(
"unexpected input datatype {t} when creating `VEC_AVG`"
)));
}
Ok(Box::new(VectorAvg::default()))
}
fn inner(&mut self, len: usize) -> &mut OVector<f32, Dyn> {
self.sum
.get_or_insert_with(|| OVector::zeros_generic(Dyn(len), Const::<1>))
}
fn update(&mut self, values: &[ArrayRef], is_update: bool) -> Result<()> {
if values.is_empty() {
return Ok(());
};
let vectors = match values[0].data_type() {
DataType::Utf8 => {
let arr: &StringArray = values[0].as_string();
arr.iter()
.filter_map(|x| x.map(|s| parse_veclit_from_strlit(s).map_err(Into::into)))
.map(|x| x.map(Cow::Owned))
.collect::<Result<Vec<_>>>()?
}
DataType::LargeUtf8 => {
let arr: &LargeStringArray = values[0].as_string();
arr.iter()
.filter_map(|x| x.map(|s| parse_veclit_from_strlit(s).map_err(Into::into)))
.map(|x: Result<Vec<f32>>| x.map(Cow::Owned))
.collect::<Result<Vec<_>>>()?
}
DataType::Binary => {
let arr: &BinaryArray = values[0].as_binary();
arr.iter()
.filter_map(|x| x.map(|b| binlit_as_veclit(b).map_err(Into::into)))
.collect::<Result<Vec<_>>>()?
}
_ => {
return Err(datafusion_common::DataFusionError::NotImplemented(format!(
"unsupported data type {} for `VEC_AVG`",
values[0].data_type()
)));
}
};
if vectors.is_empty() {
return Ok(());
}
let len = if is_update {
vectors.len() as u64
} else {
sum(values[1].as_primitive::<UInt64Type>()).unwrap_or_default()
};
let dims = vectors[0].len();
let mut sum = DVector::zeros(dims);
for v in vectors {
if v.len() != dims {
return Err(datafusion_common::DataFusionError::Execution(
"vectors length not match: VEC_AVG".to_string(),
));
}
let v_view = DVectorView::from_slice(&v, dims);
sum += &v_view;
}
*self.inner(dims) += sum;
self.count += len;
Ok(())
}
}
impl Accumulator for VectorAvg {
fn state(&mut self) -> Result<Vec<ScalarValue>> {
let vector = match &self.sum {
None => ScalarValue::Binary(None),
Some(sum) => ScalarValue::Binary(Some(veclit_to_binlit(sum.as_slice()))),
};
Ok(vec![vector, ScalarValue::from(self.count)])
}
fn update_batch(&mut self, values: &[ArrayRef]) -> Result<()> {
self.update(values, true)
}
fn merge_batch(&mut self, states: &[ArrayRef]) -> Result<()> {
self.update(states, false)
}
fn evaluate(&mut self) -> Result<ScalarValue> {
match &self.sum {
None => Ok(ScalarValue::Binary(None)),
Some(sum) => Ok(ScalarValue::Binary(Some(veclit_to_binlit(
(sum / self.count as f32).as_slice(),
)))),
}
}
fn size(&self) -> usize {
size_of_val(self)
}
}
#[cfg(test)]
mod tests {
use std::sync::Arc;
use arrow::array::StringArray;
use datatypes::scalars::ScalarVector;
use datatypes::vectors::{ConstantVector, StringVector, Vector};
use super::*;
#[test]
fn test_update_batch() {
// test update empty batch, expect not updating anything
let mut vec_avg = VectorAvg::default();
vec_avg.update_batch(&[]).unwrap();
assert!(vec_avg.sum.is_none());
assert_eq!(ScalarValue::Binary(None), vec_avg.evaluate().unwrap());
// test update one not-null value
let mut vec_avg = VectorAvg::default();
let v: Vec<ArrayRef> = vec![Arc::new(StringArray::from(vec![
Some("[1.0,2.0,3.0]".to_string()),
Some("[4.0,5.0,6.0]".to_string()),
]))];
vec_avg.update_batch(&v).unwrap();
assert_eq!(
ScalarValue::Binary(Some(veclit_to_binlit(&[2.5, 3.5, 4.5]))),
vec_avg.evaluate().unwrap()
);
// test update one null value
let mut vec_avg = VectorAvg::default();
let v: Vec<ArrayRef> = vec![Arc::new(StringArray::from(vec![Option::<String>::None]))];
vec_avg.update_batch(&v).unwrap();
assert_eq!(ScalarValue::Binary(None), vec_avg.evaluate().unwrap());
// test update no null-value batch
let mut vec_avg = VectorAvg::default();
let v: Vec<ArrayRef> = vec![Arc::new(StringArray::from(vec![
Some("[1.0,2.0,3.0]".to_string()),
Some("[4.0,5.0,6.0]".to_string()),
Some("[7.0,8.0,9.0]".to_string()),
]))];
vec_avg.update_batch(&v).unwrap();
assert_eq!(
ScalarValue::Binary(Some(veclit_to_binlit(&[4.0, 5.0, 6.0]))),
vec_avg.evaluate().unwrap()
);
// test update null-value batch
let mut vec_avg = VectorAvg::default();
let v: Vec<ArrayRef> = vec![Arc::new(StringArray::from(vec![
Some("[1.0,2.0,3.0]".to_string()),
None,
Some("[7.0,8.0,9.0]".to_string()),
]))];
vec_avg.update_batch(&v).unwrap();
assert_eq!(
ScalarValue::Binary(Some(veclit_to_binlit(&[4.0, 5.0, 6.0]))),
vec_avg.evaluate().unwrap()
);
let mut vec_avg = VectorAvg::default();
let v: Vec<ArrayRef> = vec![Arc::new(StringArray::from(vec![
None,
Some("[4.0,5.0,6.0]".to_string()),
Some("[7.0,8.0,9.0]".to_string()),
]))];
vec_avg.update_batch(&v).unwrap();
assert_eq!(
ScalarValue::Binary(Some(veclit_to_binlit(&[5.5, 6.5, 7.5]))),
vec_avg.evaluate().unwrap()
);
// test update with constant vector
let mut vec_avg = VectorAvg::default();
let v: Vec<ArrayRef> = vec![
Arc::new(ConstantVector::new(
Arc::new(StringVector::from_vec(vec!["[1.0,2.0,3.0]".to_string()])),
4,
))
.to_arrow_array(),
];
vec_avg.update_batch(&v).unwrap();
assert_eq!(
ScalarValue::Binary(Some(veclit_to_binlit(&[1.0, 2.0, 3.0]))),
vec_avg.evaluate().unwrap()
);
}
}

View File

@@ -34,6 +34,8 @@ use crate::scalars::json::JsonFunction;
use crate::scalars::matches::MatchesFunction;
use crate::scalars::matches_term::MatchesTermFunction;
use crate::scalars::math::MathFunction;
use crate::scalars::primary_key::DecodePrimaryKeyFunction;
use crate::scalars::string::register_string_functions;
use crate::scalars::timestamp::TimestampFunction;
use crate::scalars::uddsketch_calc::UddSketchCalcFunction;
use crate::scalars::vector::VectorFunction as VectorScalarFunction;
@@ -142,6 +144,7 @@ pub static FUNCTION_REGISTRY: LazyLock<Arc<FunctionRegistry>> = LazyLock::new(||
ExpressionFunction::register(&function_registry);
UddSketchCalcFunction::register(&function_registry);
HllCalcFunction::register(&function_registry);
DecodePrimaryKeyFunction::register(&function_registry);
// Full text search function
MatchesFunction::register(&function_registry);
@@ -154,6 +157,9 @@ pub static FUNCTION_REGISTRY: LazyLock<Arc<FunctionRegistry>> = LazyLock::new(||
// Json related functions
JsonFunction::register(&function_registry);
// String related functions
register_string_functions(&function_registry);
// Vector related functions
VectorScalarFunction::register(&function_registry);
VectorAggrFunction::register(&function_registry);

View File

@@ -25,7 +25,9 @@ use common_query::Output;
use common_query::error::Result;
use session::context::QueryContextRef;
use store_api::storage::RegionId;
use table::requests::{CompactTableRequest, DeleteRequest, FlushTableRequest, InsertRequest};
use table::requests::{
BuildIndexTableRequest, CompactTableRequest, DeleteRequest, FlushTableRequest, InsertRequest,
};
/// A trait for handling table mutations in `QueryEngine`.
#[async_trait]
@@ -47,6 +49,13 @@ pub trait TableMutationHandler: Send + Sync {
ctx: QueryContextRef,
) -> Result<AffectedRows>;
/// Trigger an index build task for the table.
async fn build_index(
&self,
request: BuildIndexTableRequest,
ctx: QueryContextRef,
) -> Result<AffectedRows>;
/// Trigger a flush task for a table region.
async fn flush_region(&self, region_id: RegionId, ctx: QueryContextRef)
-> Result<AffectedRows>;

View File

@@ -20,6 +20,8 @@ pub mod json;
pub mod matches;
pub mod matches_term;
pub mod math;
pub mod primary_key;
pub(crate) mod string;
pub mod vector;
pub(crate) mod hll_count;

View File

@@ -20,7 +20,9 @@ use common_query::error;
use common_time::{Date, Timestamp};
use datafusion_common::DataFusionError;
use datafusion_common::arrow::array::{Array, AsArray, StringViewBuilder};
use datafusion_common::arrow::datatypes::{ArrowTimestampType, DataType, Date32Type, TimeUnit};
use datafusion_common::arrow::datatypes::{
ArrowTimestampType, DataType, Date32Type, Date64Type, TimeUnit,
};
use datafusion_expr::{ColumnarValue, ScalarFunctionArgs, Signature};
use snafu::ResultExt;
@@ -40,6 +42,7 @@ impl Default for DateFormatFunction {
signature: helper::one_of_sigs2(
vec![
DataType::Date32,
DataType::Date64,
DataType::Timestamp(TimeUnit::Second, None),
DataType::Timestamp(TimeUnit::Millisecond, None),
DataType::Timestamp(TimeUnit::Microsecond, None),
@@ -115,6 +118,29 @@ impl Function for DateFormatFunction {
builder.append_option(result.as_deref());
}
}
DataType::Date64 => {
let left = left.as_primitive::<Date64Type>();
for i in 0..size {
let date = left.is_valid(i).then(|| {
let ms = left.value(i);
Timestamp::new_millisecond(ms)
});
let format = formats.is_valid(i).then(|| formats.value(i));
let result = match (date, format) {
(Some(ts), Some(fmt)) => {
Some(ts.as_formatted_string(fmt, Some(timezone)).map_err(|e| {
DataFusionError::Execution(format!(
"cannot format {ts:?} as '{fmt}': {e}"
))
})?)
}
_ => None,
};
builder.append_option(result.as_deref());
}
}
x => {
return Err(DataFusionError::Execution(format!(
"unsupported input data type {x}"
@@ -137,7 +163,9 @@ mod tests {
use std::sync::Arc;
use arrow_schema::Field;
use datafusion_common::arrow::array::{Date32Array, StringArray, TimestampSecondArray};
use datafusion_common::arrow::array::{
Date32Array, Date64Array, StringArray, TimestampSecondArray,
};
use datafusion_common::config::ConfigOptions;
use datafusion_expr::{TypeSignature, Volatility};
@@ -166,7 +194,7 @@ mod tests {
Signature {
type_signature: TypeSignature::OneOf(sigs),
volatility: Volatility::Immutable
} if sigs.len() == 5));
} if sigs.len() == 6));
}
#[test]
@@ -213,6 +241,50 @@ mod tests {
}
}
#[test]
fn test_date64_date_format() {
let f = DateFormatFunction::default();
let dates = vec![Some(123000), None, Some(42000), None];
let formats = vec![
"%Y-%m-%d %T.%3f",
"%Y-%m-%d %T.%3f",
"%Y-%m-%d %T.%3f",
"%Y-%m-%d %T.%3f",
];
let results = [
Some("1970-01-01 00:02:03.000"),
None,
Some("1970-01-01 00:00:42.000"),
None,
];
let mut config_options = ConfigOptions::default();
config_options.extensions.insert(FunctionContext::default());
let config_options = Arc::new(config_options);
let args = ScalarFunctionArgs {
args: vec![
ColumnarValue::Array(Arc::new(Date64Array::from(dates))),
ColumnarValue::Array(Arc::new(StringArray::from_iter_values(formats))),
],
arg_fields: vec![],
number_rows: 4,
return_field: Arc::new(Field::new("x", DataType::Utf8View, false)),
config_options,
};
let result = f
.invoke_with_args(args)
.and_then(|x| x.to_array(4))
.unwrap();
let vector = result.as_string_view();
assert_eq!(4, vector.len());
for (actual, expect) in vector.iter().zip(results) {
assert_eq!(actual, expect);
}
}
#[test]
fn test_date_date_format() {
let f = DateFormatFunction::default();

View File

@@ -14,6 +14,7 @@
mod binary;
mod ctx;
mod if_func;
mod is_null;
mod unary;
@@ -22,6 +23,7 @@ pub use ctx::EvalContext;
pub use unary::scalar_unary_op;
use crate::function_registry::FunctionRegistry;
use crate::scalars::expression::if_func::IfFunction;
use crate::scalars::expression::is_null::IsNullFunction;
pub(crate) struct ExpressionFunction;
@@ -29,5 +31,6 @@ pub(crate) struct ExpressionFunction;
impl ExpressionFunction {
pub fn register(registry: &FunctionRegistry) {
registry.register_scalar(IsNullFunction::default());
registry.register_scalar(IfFunction::default());
}
}

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