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[pyspark] rework the log #514

[pyspark] rework the log

[pyspark] rework the log #514

Workflow file for this run

name: XGBoost-JVM-Tests
on: [push, pull_request]
permissions:
contents: read # to fetch code (actions/checkout)
jobs:
test-with-jvm:
name: Test JVM on OS ${{ matrix.os }}
runs-on: ${{ matrix.os }}
strategy:
fail-fast: false
matrix:
os: [windows-latest, ubuntu-latest, macos-11]
steps:
- uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11 # v4.1.1
with:
submodules: 'true'
- uses: mamba-org/setup-micromamba@422500192359a097648154e8db4e39bdb6c6eed7 # v1.8.1
with:
micromamba-version: '1.5.6-0'
environment-name: jvm_tests
create-args: >-
python=3.10
awscli
cache-downloads: true
cache-environment: true
init-shell: bash powershell
- name: Cache Maven packages
uses: actions/cache@13aacd865c20de90d75de3b17ebe84f7a17d57d2 # v4.0.0
with:
path: ~/.m2
key: ${{ runner.os }}-m2-${{ hashFiles('./jvm-packages/pom.xml') }}
restore-keys: ${{ runner.os }}-m2-${{ hashFiles('./jvm-packages/pom.xml') }}
- name: Build xgboost4j.dll
run: |
mkdir build
cd build
cmake .. -G"Visual Studio 17 2022" -A x64 -DJVM_BINDINGS=ON
cmake --build . --config Release
if: matrix.os == 'windows-latest'
- name: Test XGBoost4J (Core)
run: |
cd jvm-packages
mvn test -B -pl :xgboost4j_2.12
- name: Extract branch name
shell: bash
run: |
echo "branch=${GITHUB_REF#refs/heads/}" >> "$GITHUB_OUTPUT"
id: extract_branch
if: |
(github.ref == 'refs/heads/master' || contains(github.ref, 'refs/heads/release_')) &&
(matrix.os == 'windows-latest' || matrix.os == 'macos-11')
- name: Publish artifact xgboost4j.dll to S3
run: |
cd lib/
Rename-Item -Path xgboost4j.dll -NewName xgboost4j_${{ github.sha }}.dll
dir
python -m awscli s3 cp xgboost4j_${{ github.sha }}.dll s3://xgboost-nightly-builds/${{ steps.extract_branch.outputs.branch }}/libxgboost4j/ --acl public-read --region us-west-2
if: |
(github.ref == 'refs/heads/master' || contains(github.ref, 'refs/heads/release_')) &&
matrix.os == 'windows-latest'
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID_IAM_S3_UPLOADER }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY_IAM_S3_UPLOADER }}
- name: Publish artifact libxgboost4j.dylib to S3
shell: bash -l {0}
run: |
cd lib/
mv -v libxgboost4j.dylib libxgboost4j_${{ github.sha }}.dylib
ls
python -m awscli s3 cp libxgboost4j_${{ github.sha }}.dylib s3://xgboost-nightly-builds/${{ steps.extract_branch.outputs.branch }}/libxgboost4j/ --acl public-read --region us-west-2
if: |
(github.ref == 'refs/heads/master' || contains(github.ref, 'refs/heads/release_')) &&
matrix.os == 'macos-11'
env:
AWS_ACCESS_KEY_ID: ${{ secrets.AWS_ACCESS_KEY_ID_IAM_S3_UPLOADER }}
AWS_SECRET_ACCESS_KEY: ${{ secrets.AWS_SECRET_ACCESS_KEY_IAM_S3_UPLOADER }}
- name: Test XGBoost4J (Core, Spark, Examples)
run: |
rm -rfv build/
cd jvm-packages
mvn -B test
if: matrix.os == 'ubuntu-latest' # Distributed training doesn't work on Windows
env:
RABIT_MOCK: ON
- name: Build and Test XGBoost4J with scala 2.13
run: |
rm -rfv build/
cd jvm-packages
mvn -B clean install test -Pdefault,scala-2.13
if: matrix.os == 'ubuntu-latest' # Distributed training doesn't work on Windows
env:
RABIT_MOCK: ON