Skip to content
GraphScope CI on Kubernetes

feat(interactive): Introduce kafka as another wal storage #5454

Sign in to view logs

feat(interactive): Introduce kafka as another wal storage

feat(interactive): Introduce kafka as another wal storage #5454

Workflow file for this run

.github/workflows/k8s-ci.yml at a6f04fa
name: GraphScope CI on Kubernetes
on:
# Trigger the workflow on push or pull request,
# but only for the main branch
workflow_dispatch:
push:
branches:
- main
paths-ignore:
- 'CONTRIBUTORS'
- 'LICENSE'
- 'NOTICE.txt'
- '**.md'
- '**.rst'
- 'docs/**'
- 'demo/**'
- 'scripts/**'
- 'tutorials/**'
pull_request:
branches:
- main
paths:
- '.github/workflows/k8s-ci.yml'
- 'Makefile'
- 'analytical_engine/**'
- 'charts/**'
- 'coordinator/**'
- 'interactive_engine/**'
- 'k8s/**'
- 'learning_engine/**'
- 'proto/**'
- 'python/**'
- '!**.md'
- '!**.rst'
concurrency:
group: ${{ github.repository }}-${{ github.event.number || github.head_ref || github.sha }}-${{ github.workflow }}
cancel-in-progress: true
env:
GS_IMAGE: registry.cn-hongkong.aliyuncs.com/graphscope/graphscope
jobs:
# JOB to run change detection
changes:
runs-on: ubuntu-20.04
# Set job outputs to values from filter step
outputs:
gae-python: ${{ steps.filter.outputs.gae-python }}
networkx: ${{ steps.filter.outputs.networkx }}
gie-function-test: ${{ steps.filter.outputs.gie-function-test }}
steps:
# For push it's necessary to checkout the code
- uses: actions/checkout@v4
- name: Detect the tmate session
run: |
if grep -v "grep" .github/workflows/k8s-ci.yml | grep "action-tmate"; then
echo 'WARNING!!!the self-hosted machine cannot run tmate session, please debug it manually'
exit 1
fi
# For pull requests it's not necessary to checkout the code
- uses: dorny/paths-filter@v3
id: filter
with:
base: main # Change detection against merge-base with main before push
filters: |
gae-python:
- 'proto/**'
- 'analytical_engine/**'
- 'python/graphscope/analytical/**'
- 'python/graphscope/client/**'
- 'python/graphscope/dataset/**'
- 'python/graphscope/deploy/**'
- 'python/graphscope/framework/**'
- 'python/graphscope/tests/unittest/**'
- 'coordinator/gscoordinator/**'
- '.github/workflows/ci.yml'
networkx:
- 'analytical_engine/apps/**'
- 'analytical_engine/frame/**'
- 'analytical_engine/core/**'
- 'python/graphscope/nx/**'
gie-function-test:
- 'interactive_engine/**'
- 'python/graphscope/interactive/**'
- '.github/workflows/ci.yml'
gie-k8s-failover-test:
- 'interactive_engine/**'
- 'charts/gie-standalone/**'
- name: Cpp Format and Lint Check
run: |
# install clang-format
sudo curl -L https://github.com/muttleyxd/clang-tools-static-binaries/releases/download/master-22538c65/clang-format-8_linux-amd64 --output /usr/bin/clang-format
sudo chmod +x /usr/bin/clang-format
# collect the source files
cd analytical_engine/
files=$(find ./apps ./benchmarks ./core ./frame ./misc ./test \( -name "*.h" -o -name "*.cc" \))
# run format
clang-format -i --style=file $(echo $files)
# validate format
function prepend() { while read line; do echo "${1}${line}"; done; }
GIT_DIFF=$(git diff --ignore-submodules)
if [[ -n $GIT_DIFF ]]; then
echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
echo "| clang-format failures found!"
echo "|"
echo "$GIT_DIFF" | prepend "| "
echo "|"
echo "| Run: "
echo "|"
echo "| make gsa_clformat"
echo "|"
echo "| to fix this error."
echo "|"
echo "| Ensure you are working with clang-format-8, which can be obtained from"
echo "|"
echo "| https://github.com/muttleyxd/clang-tools-static-binaries/releases"
echo "|"
echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
exit -1
fi
# validate cpplint
function ec() { [[ "$1" == "-h" ]] && { shift && eval $* > /dev/null 2>&1; ec=$?; echo $ec; } || eval $*; ec=$?; }
# run cpplint
ec ./misc/cpplint.py $(echo $files)
if [[ "$ec" != "0" ]]; then
echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
echo "| cpplint failures found! Run: "
echo "|"
echo "| make gsa_cpplint"
echo "|"
echo "| to fix this error."
echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
exit -1
fi
- name: Python Format and Lint Check
run: |
echo "Checking formatting for $GITHUB_REPOSITORY"
pip3 install -r coordinator/requirements-dev.txt
pushd python
python3 -m isort --check --diff .
python3 -m black --check --diff .
python3 -m flake8 .
popd
pushd coordinator
python3 -m isort --check --diff .
python3 -m black --check --diff .
python3 -m flake8 .
- name: Setup Java11
uses: actions/setup-java@v4
with:
distribution: 'zulu'
java-version: '11'
- name: Java Format and Lint Check
run: |
wget https://github.com/google/google-java-format/releases/download/v1.13.0/google-java-format-1.13.0-all-deps.jar
files_to_format=$(git ls-files *.java)
# run formatter in-place
java -jar ${GITHUB_WORKSPACE}/google-java-format-1.13.0-all-deps.jar --aosp --skip-javadoc-formatting -i $files_to_format
# validate format
function prepend() { while read line; do echo "${1}${line}"; done; }
GIT_DIFF=$(git diff --ignore-submodules)
if [[ -n $GIT_DIFF ]]; then
echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
echo "| google-java-format failures found!"
echo "|"
echo "$GIT_DIFF" | prepend "| "
echo "|"
echo "| Run: "
echo "|"
echo '| java -jar google-java-format-1.13.0-all-deps.jar --aosp --skip-javadoc-formatting -i $(git ls-files **/*.java)'
echo "|"
echo "| to fix this error."
echo "|"
echo "| Ensure you are working with google-java-format-1.13.0, which can be obtained from"
echo "|"
echo "| https://github.com/google/google-java-format/releases/download/v1.13.0/google-java-format-1.13.0-all-deps.jar"
echo "|"
echo "~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~"
exit -1
fi
build-analytical:
runs-on: [self-hosted, manylinux2014]
needs: [changes]
if: ${{ github.repository == 'alibaba/GraphScope' }}
steps:
- uses: actions/checkout@v4
- name: Build Artifact
run: |
. ${HOME}/.graphscope_env
export INSTALL_DIR=${{ github.workspace }}/install
mkdir ${INSTALL_DIR}
make analytical-install INSTALL_PREFIX=${INSTALL_DIR}
strip ${INSTALL_DIR}/bin/grape_engine
strip ${INSTALL_DIR}/lib/*.so
sudo cp -rs ${INSTALL_DIR}/* ${GRAPHSCOPE_HOME}/
python3 ./k8s/utils/precompile.py --graph --output_dir ${INSTALL_DIR}/builtin
strip ${INSTALL_DIR}/builtin/*/*.so
- name: Upload Artifacts
uses: actions/upload-artifact@v4
with:
name: analytical
path: ${{ github.workspace }}/install
retention-days: 5
build-analytical-java:
runs-on: [self-hosted, manylinux2014]
needs: [changes]
#if: ${{ github.repository == 'alibaba/GraphScope' }}
if: false
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
with:
path: ~/.m2/repository
key: ${{ runner.os }}-maven-${{ hashFiles('**/pom.xml') }}
restore-keys: |
${{ runner.os }}-maven-
- name: Build Artifact
run: |
. ${HOME}/.graphscope_env
export INSTALL_DIR=${{ github.workspace }}/install
mkdir ${INSTALL_DIR}
make analytical-java-install INSTALL_PREFIX=${INSTALL_DIR}
strip ${INSTALL_DIR}/bin/grape_engine
strip ${INSTALL_DIR}/bin/graphx_runner
strip ${INSTALL_DIR}/lib/*.so
sudo cp -rs ${INSTALL_DIR}/* ${GRAPHSCOPE_HOME}/
python3 ./k8s/utils/precompile.py --graph --output_dir ${INSTALL_DIR}/builtin
strip ${INSTALL_DIR}/builtin/*/*.so
- name: Upload Artifacts
uses: actions/upload-artifact@v4
with:
name: analytical-java
path: ${{ github.workspace }}/install
retention-days: 5
build-interactive:
runs-on: [self-hosted, manylinux2014]
needs: [changes]
if: ${{ github.repository == 'alibaba/GraphScope' }}
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
with:
path: ~/.m2/repository
key: ${{ runner.os }}-maven-${{ hashFiles('**/pom.xml') }}
restore-keys: |
${{ runner.os }}-maven-
- uses: actions/cache@v4
with:
path: |
~/.cargo/bin/
~/.cargo/registry/index/
~/.cargo/registry/cache/
~/.cargo/git/db/
~/.cache/sccache
key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
- name: Build Artifact
run: |
. ${HOME}/.graphscope_env
mkdir install
export SCCACHE_DIR=~/.cache/sccache
export RUSTC_WRAPPER=/usr/local/bin/sccache
sccache --start-server
make interactive-install BUILD_TYPE="debug" INSTALL_PREFIX=${{ github.workspace }}/install
strip install/bin/gaia_executor
sccache --show-stats
- name: Upload Artifacts
uses: actions/upload-artifact@v4
with:
name: interactive
path: ${{ github.workspace }}/install
retention-days: 5
build-learning:
runs-on: [self-hosted, manylinux2014]
needs: [changes]
if: ${{ github.repository == 'alibaba/GraphScope' }}
steps:
- uses: actions/checkout@v4
with:
submodules: true
- uses: actions/cache@v4
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- name: Build Artifact
run: |
mkdir install
make learning-install INSTALL_PREFIX=${{ github.workspace }}/install
cd ${{ github.workspace }}/python
pip3 install -r requirements.txt -r requirements-dev.txt --user
python3 setup.py bdist_wheel
auditwheel_path=$(python3 -c "import auditwheel; print(auditwheel.__path__[0] + '/main_repair.py')")
sed -i 's/p.error/logger.warning/g' ${auditwheel_path}
export LD_LIBRARY_PATH=$LD_LIBRARY_PATH:${{ github.workspace }}/learning_engine/graph-learn/graphlearn/built/lib
auditwheel repair dist/*.whl
python3 -m pip install wheelhouse/*.whl; \
cp wheelhouse/*.whl ${{ github.workspace }}/install/
cd ${{ github.workspace }}/coordinator
pip3 install -r requirements.txt -r requirements-dev.txt --user
python3 setup.py bdist_wheel
cp dist/*.whl ${{ github.workspace }}/install/
- name: Upload Artifacts
uses: actions/upload-artifact@v4
with:
name: learning
path: ${{ github.workspace }}/install
retention-days: 5
# build-coordinator:
# runs-on: ubuntu-latest
# needs: [changes]
# if: false # Wheels of learning includes coordinator and client
# steps:
# - uses: actions/checkout@v4g
k8s-test:
runs-on: [self-hosted, ubuntu2004]
if: ${{ github.repository == 'alibaba/GraphScope' }}
needs: [build-analytical, build-interactive, build-learning]
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- uses: actions/download-artifact@v4
with:
path: artifacts
- name: Add envs to GITHUB_ENV
run: |
short_sha=$(git rev-parse --short HEAD)
echo "SHORT_SHA=${short_sha}" >> $GITHUB_ENV
- name: Build Images
run: |
cd ${GITHUB_WORKSPACE}/k8s
# Use a dummy builder image (tag=ci, which is actually a busybox) to reduce time and space to pull the builder
make analytical CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
make interactive CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
make coordinator CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
docker images
- name: Install Python dependencies
run: |
cd ${GITHUB_WORKSPACE}/python
pip3 install -r requirements.txt -r requirements-dev.txt
pip3 install pytest pytest-cov pytest-timeout pytest-xdist
# build python client proto
cd ${GITHUB_WORKSPACE}/python
python3 setup.py build_proto
# install mars
# python3 -m pip install pymars==0.8.0
- name: Setup SSH
run: |
ssh-keygen -t rsa -f ~/.ssh/id_rsa -N ''
cat ~/.ssh/id_rsa.pub >> ~/.ssh/authorized_keys
chmod og-wx ~/.ssh/authorized_keys
echo "StrictHostKeyChecking no" >> ~/.ssh/config
sudo /etc/init.d/ssh start
- name: Prepare Kubernetes
env:
GS_TEST_DIR: ${{ github.workspace }}/gstest
run: |
# download dataset
git clone -b master --single-branch --depth=1 https://github.com/7br/gstest.git ${GS_TEST_DIR}
minikube start --base-image='registry-vpc.cn-hongkong.aliyuncs.com/graphscope/kicbase:v0.0.30' \
--cpus='12' --memory='32000mb' --disk-size='40000mb' \
--mount=true --mount-string="${GS_TEST_DIR}:${GS_TEST_DIR}"
mkdir -p ${{ github.workspace }}
- name: Load Images
run: |
# create a kubernetes cluster with 2 nodes
#TODO(caoye)
#minikube start --base-image='registry-vpc.cn-hongkong.aliyuncs.com/graphscope/kicbase:v0.0.32' \
# --nodes 2 --cpus='6' --memory='16000mb' --disk-size='20000mb' \
# --mount=true --mount-string="${GS_TEST_DIR}:${GS_TEST_DIR}"
export GS_REGISTRY=""
export GS_TAG=${SHORT_SHA}
minikube image load graphscope/coordinator:${SHORT_SHA}
echo "Loaded coordinator"
minikube image load graphscope/analytical:${SHORT_SHA}
echo "Loaded analytical"
minikube image load graphscope/interactive-frontend:${SHORT_SHA}
echo "Loaded frontend"
minikube image load graphscope/interactive-executor:${SHORT_SHA}
echo "Loaded executor"
# minikube image load graphscope/learning:${SHORT_SHA}
# echo "loaded learning"
- uses: dashanji/kubernetes-log-export-action@v5
env:
SHOW_TIMESTAMPS: 'true'
OUTPUT_DIR: ${{ github.workspace }}/k8s-ci-helm-installation-logs
NAMESPACES: "gs*,default"
MODE: start
- name: Helm Test of installation
env:
GS_TEST_DIR: ${{ github.workspace }}/gstest
run: |
cd charts
helm template graphscope --set image.registry="",image.tag="${SHORT_SHA}",withJupyter=false,volumes.enabled=true,volumes.items.data.field.path=${GS_TEST_DIR},engines.log_level=DEBUG \
./graphscope
helm install graphscope --set image.registry="",image.tag="${SHORT_SHA}",withJupyter=false,volumes.enabled=true,volumes.items.data.field.path=${GS_TEST_DIR},engines.log_level=DEBUG \
./graphscope
helm test graphscope --timeout 5m0s
- name: Test demo script of helm installation
run: |
export NODE_IP=$(kubectl get pod -lgraphscope.coordinator.name=coordinator-graphscope -ojsonpath="{.items[0].status.hostIP}")
export NODE_PORT=$(kubectl get services coordinator-service-graphscope -ojsonpath="{.spec.ports[0].nodePort}")
echo "GraphScope service listen on ${NODE_IP}:${NODE_PORT}"
export GS_ADDR=${NODE_IP}:${NODE_PORT}
cd ${GITHUB_WORKSPACE}/python
python3 -m pytest -d --tx popen//python=python3 \
-s -vvv \
./graphscope/tests/kubernetes/test_demo_script.py \
-k test_helm_installation
- uses: dashanji/kubernetes-log-export-action@v5
env:
OUTPUT_DIR: ${{ github.workspace }}/k8s-ci-helm-installation-logs
MODE: stop
- name: Delete Helm Cluster
run: helm delete graphscope
- uses: dashanji/kubernetes-log-export-action@v5
env:
SHOW_TIMESTAMPS: 'true'
OUTPUT_DIR: ${{ github.workspace }}/k8s-ci-demo-script-test-logs
NAMESPACES: "gs*,default"
MODE: start
- name: Kubernetes Test
env:
GS_TEST_DIR: ${{ github.workspace }}/gstest
run: |
export GS_REGISTRY=""
export GS_TAG=${SHORT_SHA}
cd ${GITHUB_WORKSPACE}/python
export PATH=${HOME}/.local/bin:${PATH}
python3 -m pytest -d --tx popen//python=python3 \
--ignore=./graphscope/tests/kubernetes/test_store_service.py \
--cov=graphscope --cov-config=.coveragerc --cov-report=xml --cov-report=term \
-s -vvv --log-cli-level=INFO \
./graphscope/tests/kubernetes
- name: Upload Coverage
uses: codecov/codecov-action@v4
continue-on-error: true
with:
files: ./python/coverage.xml
token: ${{ secrets.CODECOV_TOKEN }}
verbose: true
- name: HDFS test
if: false # FIXME(siyuan): Open this test
env:
JAVA_HOME: /usr/lib/jvm/default-java
GS_TEST_DIR: ${{ github.workspace }}/gstest
run: |
export GS_REGISTRY=""
export GS_TAG=${SHORT_SHA}
# install hadoop HDFS
tar -zxf /home/runner/hadoop-2.10.2.tar.gz -C /tmp/
cd ${GITHUB_WORKSPACE}/.github/workflows/hadoop_scripts
./prepare_hadoop.sh /tmp/hadoop-2.10.2
export PATH=${PATH}:/tmp/hadoop-2.10.2/bin
# upload data to HDFS
hadoop fs -mkdir /ldbc_sample || true
hadoop fs -chmod 777 /ldbc_sample
hadoop fs -put ${GS_TEST_DIR}/ldbc_sample/person_0_0.csv /ldbc_sample/person_0_0.csv
hadoop fs -put ${GS_TEST_DIR}/ldbc_sample/person_knows_person_0_0.csv /ldbc_sample/person_knows_person_0_0.csv
# prepare CI environments
export HDFS_TEST_DIR=hdfs:///ldbc_sample
export HDFS_HOST=$(hostname -I | awk '{print $1}')
# run test
cd ${GITHUB_WORKSPACE}/python
python3 -m pytest -d --tx popen//python=python3 \
-s -vvv \
./graphscope/tests/kubernetes/test_demo_script.py \
-k test_demo_on_hdfs
# Check the result file have successfully written to the given location
# hdfs dfs -test -e /ldbc_sample/res.csv_0 && hdfs dfs -test -e /ldbc_sample/res.csv_1
- uses: dashanji/kubernetes-log-export-action@v5
env:
OUTPUT_DIR: ${{ github.workspace }}/k8s-ci-demo-script-test-logs
MODE: stop
- name: Upload the k8s logs to artifact
uses: actions/upload-artifact@v4
if: ${{ always() }}
continue-on-error: true
with:
name: k8s-test-logs
path: ${{ github.workspace }}/k8s-ci-*-logs
gie-test:
runs-on: [self-hosted, ubuntu2004]
needs: [build-analytical, build-interactive, build-learning]
if: ${{ needs.changes.outputs.gie-function-test == 'true' && github.repository == 'alibaba/GraphScope' }}
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
with:
path: ~/.cache/pip
key: ${{ runner.os }}-pip-${{ hashFiles('**/requirements.txt') }}
restore-keys: |
${{ runner.os }}-pip-
- uses: actions/download-artifact@v4
with:
path: artifacts
- name: Add envs to GITHUB_ENV
run: |
short_sha=$(git rev-parse --short HEAD)
echo "SHORT_SHA=${short_sha}" >> $GITHUB_ENV
- name: Build Images
run: |
cd ${GITHUB_WORKSPACE}/k8s
# Use a dummy builder image (tag=ci, which is actually a busybox) to reduce time and space to pull the builder
make analytical CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
make interactive CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
make coordinator CI=true VERSION=${SHORT_SHA} REGISTRY=registry-vpc.cn-hongkong.aliyuncs.com BUILDER_VERSION=ci
docker images
- name: Install Python dependencies
run: |
cd ${GITHUB_WORKSPACE}/python
pip3 install -r requirements.txt -r requirements-dev.txt
pip3 install pytest pytest-cov pytest-timeout pytest-xdist
# build python client proto
python3 setup.py build_proto
- name: Run Function Test
run: |
export GS_TEST_DIR=${GITHUB_WORKSPACE}/interactive_engine/tests/src/main/resources
minikube start --base-image='registry-vpc.cn-hongkong.aliyuncs.com/graphscope/kicbase:v0.0.30' \
--cpus='12' --memory='32000mb' --disk-size='60000mb' \
--mount=true --mount-string="${GS_TEST_DIR}:${GS_TEST_DIR}"
export GS_REGISTRY=""
export GS_TAG=${SHORT_SHA}
minikube image load graphscope/coordinator:${SHORT_SHA}
minikube image load graphscope/analytical:${SHORT_SHA}
minikube image load graphscope/interactive-frontend:${SHORT_SHA}
minikube image load graphscope/interactive-executor:${SHORT_SHA}
export PYTHONPATH=${GITHUB_WORKSPACE}/python:${PYTHONPATH}
cd ${GITHUB_WORKSPACE}/interactive_engine && mvn clean install --quiet -DskipTests -Drust.compile.skip=true -P graphscope
cd ${GITHUB_WORKSPACE}/interactive_engine/tests
# ./function_test.sh 8111 1
./function_test.sh 8112 2
build-gie-experimental:
needs: [changes]
# Require the user id of the self-hosted is 1001, which may need to be
# configured manually when a new self-hosted runner is added.
runs-on: [self-hosted, manylinux2014]
if: ${{ github.repository == 'alibaba/GraphScope' }}
steps:
- uses: actions/checkout@v4
- uses: actions/cache@v4
with:
path: ~/.m2/repository
key: ${{ runner.os }}-maven-${{ hashFiles('**/pom.xml') }}
restore-keys: |
${{ runner.os }}-maven-
- uses: actions/cache@v4
with:
path: |
~/.cargo/bin/
~/.cargo/registry/index/
~/.cargo/registry/cache/
~/.cargo/git/db/
~/.cache/sccache
key: ${{ runner.os }}-cargo-${{ hashFiles('**/Cargo.lock') }}
- name: Build GIE Experimental Artifacts
run: |
. ~/.graphscope_env
export RPC_TARGET=start_rpc_server_k8s
cd interactive_engine/compiler && make build rpc.target=${RPC_TARGET}
cd ${GITHUB_WORKSPACE}
strip interactive_engine/executor/ir/target/release/${RPC_TARGET}
strip interactive_engine/executor/ir/target/release/libir_core.so
tar -czf artifacts.tar.gz interactive_engine/compiler/target/libs \
interactive_engine/compiler/target/compiler-0.0.1-SNAPSHOT.jar \
interactive_engine/compiler/conf \
interactive_engine/compiler/set_properties.sh \
interactive_engine/executor/ir/target/release/libir_core.so \
interactive_engine/executor/ir/target/release/${RPC_TARGET}
- name: Upload Artifact
uses: actions/upload-artifact@v4
with:
name: gie-experimental
path: |
artifacts.tar.gz
retention-days: 5
gie-k8s-failover-test:
if: false # No need to run this test for now
needs: [build-gie-experimental]
runs-on: [self-hosted, ubuntu2004]
# if: ${{ github.repository == 'alibaba/GraphScope' }}
steps:
- uses: actions/checkout@v4
- uses: actions/download-artifact@v4
with:
name: gie-experimental
path: artifacts
- name: Add envs to GITHUB_ENV
run: |
short_sha=$(git rev-parse --short HEAD)
echo "SHORT_SHA=${short_sha}" >> $GITHUB_ENV
- name: Prepare Docker Image
run: |
docker build \
-t registry.cn-hongkong.aliyuncs.com/graphscope/interactive-experimental:${SHORT_SHA} \
-f .github/workflows/docker/interactive-experimental-local-artifacts.Dockerfile .
- name: Prepare Cluster and Data
env:
GS_TEST_DIR: ${{ github.workspace }}/gstest
STORE_DATA_PATH: /tmp/data
GIE_IMAGE: registry.cn-hongkong.aliyuncs.com/graphscope/interactive-experimental
run: |
# prepare graph data
git clone -b master --single-branch --depth=1 https://github.com/7br/gstest.git ${GS_TEST_DIR}
mkdir -p ${STORE_DATA_PATH}
cp -r ${GS_TEST_DIR}/modern_graph_exp_bin/* ${STORE_DATA_PATH}
# prepare minikube cluster
minikube start --base-image='registry-vpc.cn-hongkong.aliyuncs.com/graphscope/kicbase:v0.0.30' \
--cpus='12' --memory='32000mb' --disk-size='60000mb' \
--mount=true --mount-string="${STORE_DATA_PATH}:${STORE_DATA_PATH}"
minikube image load ${GIE_IMAGE}:${SHORT_SHA}
# install python gremlin client
pip install gremlinpython
- uses: dashanji/kubernetes-log-export-action@v5
env:
SHOW_TIMESTAMPS: 'true'
OUTPUT_DIR: ${{ github.workspace }}/k8s-failover-logs
NAMESPACES: "gs*,default"
MODE: start
- name: Run K8S Failover Test
run: |
cd ${GITHUB_WORKSPACE}/charts
# create local persistent volume which contains graph data for test
kubectl apply -f ./gie-standalone/tools/pvc.yaml
# create gie instance (compiler & executor & exp storage)
helm install test ./gie-standalone \
--set frontend.image.repository=graphscope/interactive-experimental \
--set frontend.image.tag=${SHORT_SHA} \
--set executor.image.repository=graphscope/interactive-experimental \
--set executor.image.tag=${SHORT_SHA} \
--set storageType=Experimental \
--set schemaConfig=expr_modern_schema.json \
--set executor.replicaCount=2 \
--set frontend.service.type=NodePort
# run failover test
cd ${GITHUB_WORKSPACE}/interactive_engine/compiler && ./ir_k8s_failover_ci.sh default test-gie-standalone 2 1
- uses: dashanji/kubernetes-log-export-action@v5
env:
OUTPUT_DIR: ${{ github.workspace }}/k8s-failover-logs
MODE: stop
- name: upload the k8s logs to artifact
uses: actions/upload-artifact@v4
continue-on-error: true
if: ${{ always() }}
with:
name: k8s-failover-logs
path: ${{ github.workspace }}/k8s-failover-logs