1168a68872
* [jvm-packages] Add Scala version suffix to xgboost-jvm package (#9776) * Update JVM script (#9714) * Revamp pom.xml * Update instructions in prepare_jvm_release.py * Fix formatting * [jvm-packages] Fix POM for xgboost-jvm metapackage (#9893) * [jvm-packages] Fix POM for xgboost-jvm metapackage * Add script for updating the Scala version * Update change_scala_version.py to also change scala.version property (#9897) * Remove 'release-cpu-only' profile * Remove scala-2.13 profile; enable gpu package for Scala 2.13
63 lines
3.9 KiB
Bash
Executable File
63 lines
3.9 KiB
Bash
Executable File
#!/bin/bash
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set -e
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set -x
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# Initialize local Maven repository
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./tests/ci_build/initialize_maven.sh
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cd jvm-packages
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jvm_packages_dir=`pwd`
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# Get version number of XGBoost4J and other auxiliary information
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xgboost4j_version=$(mvn help:evaluate -Dexpression=project.version -q -DforceStdout)
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maven_compiler_source=$(mvn help:evaluate -Dexpression=maven.compiler.source -q -DforceStdout)
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maven_compiler_target=$(mvn help:evaluate -Dexpression=maven.compiler.target -q -DforceStdout)
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spark_version=$(mvn help:evaluate -Dexpression=spark.version -q -DforceStdout)
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if [ ! -z "$RUN_INTEGRATION_TEST" ]; then
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cd $jvm_packages_dir/xgboost4j-tester
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python3 get_iris.py
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cd $jvm_packages_dir
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fi
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for scala_binary_version in "2.12" "2.13"; do
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cd ..
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python dev/change_scala_version.py --scala-version ${scala_binary_version}
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cd jvm-packages
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scala_version=$(mvn help:evaluate -Dexpression=scala.version -q -DforceStdout)
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# Install XGBoost4J JAR into local Maven repository
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mvn --no-transfer-progress install:install-file -Dfile=./xgboost4j/target/xgboost4j_${scala_binary_version}-${xgboost4j_version}.jar -DgroupId=ml.dmlc -DartifactId=xgboost4j_${scala_binary_version} -Dversion=${xgboost4j_version} -Dpackaging=jar
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mvn --no-transfer-progress install:install-file -Dfile=./xgboost4j/target/xgboost4j_${scala_binary_version}-${xgboost4j_version}-tests.jar -DgroupId=ml.dmlc -DartifactId=xgboost4j_${scala_binary_version} -Dversion=${xgboost4j_version} -Dpackaging=test-jar -Dclassifier=tests
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mvn --no-transfer-progress install:install-file -Dfile=./xgboost4j-spark/target/xgboost4j-spark_${scala_binary_version}-${xgboost4j_version}.jar -DgroupId=ml.dmlc -DartifactId=xgboost4j-spark_${scala_binary_version} -Dversion=${xgboost4j_version} -Dpackaging=jar
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mvn --no-transfer-progress install:install-file -Dfile=./xgboost4j-example/target/xgboost4j-example_${scala_binary_version}-${xgboost4j_version}.jar -DgroupId=ml.dmlc -DartifactId=xgboost4j-example_${scala_binary_version} -Dversion=${xgboost4j_version} -Dpackaging=jar
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cd xgboost4j-tester
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# Generate pom.xml for XGBoost4J-tester, a dummy project to run XGBoost4J tests
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python3 ./generate_pom.py ${xgboost4j_version} ${maven_compiler_source} ${maven_compiler_target} ${spark_version} ${scala_version} ${scala_binary_version}
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# Build package and unit tests with XGBoost4J
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mvn --no-transfer-progress clean package
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xgboost4j_tester_jar="$jvm_packages_dir/xgboost4j-tester/target/xgboost4j-tester_${scala_binary_version}-1.0-SNAPSHOT-jar-with-dependencies.jar"
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# Run integration tests with XGBoost4J
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java -jar $xgboost4j_tester_jar
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# Run integration tests with XGBoost4J-Spark
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if [ ! -z "$RUN_INTEGRATION_TEST" ]; then
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# Changing directory so that we do not mix code and resulting files
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cd target
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if [[ "$scala_binary_version" == "2.12" ]]; then
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/opt/spark-scala-2.12/bin/spark-submit --class ml.dmlc.xgboost4j.scala.example.spark.SparkTraining --master 'local[8]' ${xgboost4j_tester_jar} $jvm_packages_dir/xgboost4j-tester/iris.csv
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/opt/spark-scala-2.12/bin/spark-submit --class ml.dmlc.xgboost4j.scala.example.spark.SparkMLlibPipeline --master 'local[8]' ${xgboost4j_tester_jar} $jvm_packages_dir/xgboost4j-tester/iris.csv ${PWD}/native_model-${scala_version} ${PWD}/pipeline_model-${scala_version}
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elif [[ "$scala_binary_version" == "2.13" ]]; then
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/opt/spark-scala-2.13/bin/spark-submit --class ml.dmlc.xgboost4j.scala.example.spark.SparkTraining --master 'local[8]' ${xgboost4j_tester_jar} $jvm_packages_dir/xgboost4j-tester/iris.csv
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/opt/spark-scala-2.13/bin/spark-submit --class ml.dmlc.xgboost4j.scala.example.spark.SparkMLlibPipeline --master 'local[8]' ${xgboost4j_tester_jar} $jvm_packages_dir/xgboost4j-tester/iris.csv ${PWD}/native_model-${scala_version} ${PWD}/pipeline_model-${scala_version}
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else
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echo "Unexpected scala version: $scala_version ($scala_binary_version)."
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fi
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fi
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cd $jvm_packages_dir
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done
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set +x
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set +e
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