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chore(spark): fix typo in writer #557

chore(spark): fix typo in writer

chore(spark): fix typo in writer #557

Workflow file for this run

# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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
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# 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.
name: GraphAr Spark CI
on:
# Trigger the workflow on push or pull request,
# but only for the main branch
push:
branches:
- main
paths:
- 'maven-projects/spark/**'
- '.github/workflows/spark.yaml'
pull_request:
branches:
- main
paths:
- 'maven-projects/spark/**'
- '.github/workflows/spark.yaml'
concurrency:
group: ${{ github.repository }}-${{ github.event.number || github.head_ref || github.sha }}-${{ github.workflow }}
cancel-in-progress: true
jobs:
test:
runs-on: ubuntu-20.04
if: ${{ !contains(github.event.pull_request.title, 'WIP') && github.event.pull_request.draft == false }}
env:
GAR_TEST_DATA: ${{ github.workspace }}/graphar-testing/
strategy:
fail-fast: false
matrix:
include:
- mvn-profile: "datasources-32"
spark: "spark-3.2.4"
spark-hadoop: "spark-3.2.4-bin-hadoop3.2"
- mvn-profile: "datasources-33"
spark: "spark-3.3.4"
spark-hadoop: "spark-3.3.4-bin-hadoop3"
- mvn-profile: "datasources-34"
spark: "spark-3.4.3"
spark-hadoop: "spark-3.4.3-bin-hadoop3"
- mvn-profile: "datasources-35"
spark: "spark-3.5.1"
spark-hadoop: "spark-3.5.1-bin-hadoop3"
steps:
- uses: actions/checkout@v4
with:
submodules: true
- name: Code Format Check
working-directory: maven-projects/spark
run: |
export JAVA_HOME=${JAVA_HOME_11_X64}
mvn --no-transfer-progress spotless:check
- name: Download test data
run: |
git clone https://github.com/apache/incubator-graphar-testing.git $GAR_TEST_DATA --depth 1
- name: Build GraphAr Spark
working-directory: maven-projects/spark
run: |
export JAVA_HOME=${JAVA_HOME_11_X64}
echo "Build ${{ matrix.mvn-profile }}"
mvn --no-transfer-progress clean package -DskipTests -Dspotless.check.skip=true -P ${{ matrix.mvn-profile }}
- name: Build Spark Docs
working-directory: maven-projects/spark
run: |
export JAVA_HOME=${JAVA_HOME_11_X64}
echo "Build ${{ matrix.mvn-profile }}"
# FIXME: the install is not necessary, but it is a workaround for the issue
mvn install --no-transfer-progress --no-transfer-progress -DskipTests -Dspotless.check.skip=true
mvn --no-transfer-progress scala:doc
- name: Run test
working-directory: maven-projects/spark
run: |
export JAVA_HOME=${JAVA_HOME_11_X64}
export SPARK_TESTING=1
echo "Test ${{ matrix.mvn-profile }}"
mvn test --no-transfer-progress -Dspotless.check.skip=true -P ${{ matrix.mvn-profile }}
- name: Generate JaCoCo Coverage Report
working-directory: maven-projects/spark
run: |
export JAVA_HOME=${JAVA_HOME_11_X64}
mvn jacoco:report --no-transfer-progress -P ${{ matrix.mvn-profile }}
- name: Upload coverage to Codecov
uses: codecov/codecov-action@v4
with:
files: "./maven-projects/spark/graphar/target/site/jacoco/jacoco.xml"
token: ${{ secrets.CODECOV_TOKEN }}
- name: Run Neo4j2GraphAr example
working-directory: maven-projects/spark
run: |
export JAVA_HOME=${JAVA_HOME_11_X64}
scripts/get-spark-to-home.sh ${{ matrix.spark }} ${{ matrix.spark-hadoop }}
export SPARK_HOME="${HOME}/${{ matrix.spark-hadoop }}"
export PATH="${SPARK_HOME}/bin":"${PATH}"
scripts/get-neo4j-to-home.sh
export NEO4J_HOME="${HOME}/neo4j-community-4.4.23"
export PATH="${NEO4J_HOME}/bin":"${PATH}"
neo4j-admin set-initial-password neo4j
scripts/deploy-neo4j-movie-data.sh
scripts/build.sh ${{ matrix.mvn-profile }}
export NEO4J_USR="neo4j"
export NEO4J_PWD="neo4j"
scripts/run-neo4j2graphar.sh
# clean the movie data and import from GraphAr
echo "match (a) -[r] -> () delete a, r;match (a) delete a;" | cypher-shell -u ${NEO4J_USR} -p ${NEO4J_PWD} -d neo4j --format plain
scripts/run-graphar2neo4j.sh
# Apache Spark version 3.4.3 is not supported by the current NebulaGraph Spark Connector.
- name: Run Nebula2GraphAr example
# https://github.com/orgs/community/discussions/37883#discussioncomment-4021318
if: ${{ matrix.spark < 'spark-3.4.3' }}
working-directory: maven-projects/spark
run: |
export JAVA_HOME=${JAVA_HOME_11_X64}
scripts/get-nebula-to-home.sh
export SPARK_HOME="${HOME}/${{ matrix.spark-hadoop }}"
export PATH="${SPARK_HOME}/bin":"${PATH}"
scripts/get-nebula-to-home.sh
scripts/deploy-nebula-default-data.sh
scripts/build.sh ${{ matrix.mvn-profile }}
scripts/run-nebula2graphar.sh
# clean the data
docker run \
--rm \
--name nebula-console-loader \
--network nebula-docker-env_nebula-net \
vesoft/nebula-console:nightly -addr 172.28.3.1 -port 9669 -u root -p nebula -e "use basketballplayer; clear space basketballplayer;"
# import from GraphAr
scripts/run-graphar2nebula.sh
- name: Run Neo4j importer
working-directory: maven-projects/spark
run: |
export JAVA_HOME=${JAVA_HOME_11_X64}
export SPARK_HOME="${HOME}/${{ matrix.spark-hadoop }}"
export PATH="${SPARK_HOME}/bin":"${PATH}"
scripts/build.sh ${{ matrix.mvn-profile }}
# run the importer
cd import
./neo4j.sh neo4j.json
- name: Run LdbcSample2GraphAr example
working-directory: maven-projects/spark
run: |
export JAVA_HOME=${JAVA_HOME_11_X64}
export SPARK_HOME="${HOME}/${{ matrix.spark-hadoop }}"
export PATH="${SPARK_HOME}/bin":"${PATH}"
scripts/build.sh ${{ matrix.mvn-profile }}
scripts/run-ldbc-sample2graphar.sh