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[jvm-packages][breaking]Rework xgboost4j jvm packages for spark #10617

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@wbo4958 wbo4958 commented Jul 22, 2024

About this PR

Features and Fixes

  • Introduce an abstract XGBoost Estimator:

    • Create an abstract base class that encapsulates common functionality for all XGBoost estimators.
    • This will promote code reuse and maintain consistency across different estimators.
  • Update to the latest XGBoost parameters

    • Add all XGBoost parameters supported in XGBoost4j-spark base on this
    • Add setter and getter for these parameters.
    • Remove the deprecated parameters
  • Implement support for XGBoostRanker:

    • Add a new XGBoostRanker estimator for ranking problem.
  • Address the missing value handling:

    • 0 is a meaningful value in machine learning case, the old version enforces 0 as the missing value which may result in XGBoost model inaccurate.
  • Consolidate xgboost4j-gpu and xgboost4j-spark-gpu:

    • Move the functionality of xgboost4j-gpu into xgboost4j-spark-gpu.
    • Remove any soft links in xgboost4j-spark-gpu to ensure a clean structure, Instead, make xgboost4j-spark-gpu extend from xgboost4j-spark and xgboost4j
  • Remove any ETL operations in XGBoost

    • As a thin wrapper of XGBoost4j, it shouldn't wrap much ETL in XGBoost4j itself to make code hard to maintain and read.
  • Create uber jars for xgboost4j-spark and xgboost4j-spark-gpu:

    • Create aggregator module to build uber jars (fat jars) that include all the necessary dependencies for xgboost4j-spark
    • Create aggregator-gpu module to build uber jars for xgboost4j-spark-gpu.
  • Rework the GPU plugin:

    • Rework the GPU plugin to improve its stability and make it more readable and maintainable.
  • Expand sanity tests for CPU and GPU consistency:

    • Increase the coverage of sanity tests to verify that the training and transform results are consistent between CPU and GPU implementations.
    • This will help identify and prevent any discrepancies or bugs related to the GPU support.

Breaking changes

  • Remove some unused parameters like Rabit related parameters and train_test_ratio. etc.

  • Separate XGBoost-spark parameter from the whole XGBoost parameters, and make the constructor of XGBoost estimator only accept the XGBoost parameters instead of parameters for xgboost4j-spark like,

    val xgbParams: Map[String, Any] = Map(
          "max_depth" -> 5,
          "eta" -> 0.2,
          "objective" -> "binary:logistic"
        )
    val est = new XGBoostClassifier(xgbParams)
          .setNumRound(10)
          .setDevice("cpu")
          .setNumWorkers(2)

    or

    val est = new XGBoostClassifier(xgbParams)
          .setMaxDepth(5)
          .setEta(0.2)
          .setObjective("binary:logistic")
          .setNumRound(10)
          .setDevice("cpu")
          .setNumWorkers(2)
  • XGBoostRegressor doesn't support ranking problem anymore, the functionality of ranking has been moved to the new estimator XGBoostRanker. And remove the ETL (like grouping) for ranking problem.

  • Removed the xgboost4j-gpu module and move the functionality into xgboost4j-spark-gpu

Test this PR

  • Unit tests For scala 2.12
mvn clean package
mvn -P gpu clean package
  • Unit tests For scala 2.13
cd xgboost
python dev/change_scala_version.py --scala-version 2.13

cd jvm-packages
mvn clean package
mvn -P gpu clean package

@wbo4958 wbo4958 marked this pull request as draft July 22, 2024 04:41
@wbo4958 wbo4958 changed the title Rework xgboost4j jvm packages for spark [jvm-packages][breaking]Rework xgboost4j jvm packages for spark Jul 22, 2024
@wbo4958 wbo4958 marked this pull request as ready for review July 22, 2024 06:12
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wbo4958 commented Jul 22, 2024

hey @trivialfis @hcho3 @dotbg, please help review this PR, thx very much.

@hcho3
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hcho3 commented Jul 22, 2024

Would you please split this pull requests into smaller chunks so that it is easier to review?

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wbo4958 commented Jul 22, 2024

It's hard to separate it, since it's completely jvm rewrite. The whole code architecture has been re-orged. and totally different implementation.

- Remove xgboost4j-gpu and move its functionality to xgboost4j-spark-gpu
- Remove any soft links in xgboost4j-spark-gpu
- Abstract an XGBoost Estimator which handles the common functionality for all xgboost estimators.
- Support XGBoostRanker
- Remove any unnecessary ETL in XGBoost
- Fix the missing value usage
- Support uber jar for xgboost4j-spark
- Support uber jar for xgboost4j-spark-gpu
- Rework GPU plugin
- More sannity test to ensure the training/transform results are same between CPU and GPU.
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hcho3 commented Jul 22, 2024

I won't review the code, since I don't think I am qualified to review such a large change in the Java/Scala code base. The best I can do is to review the changes in the CI/CD pipelines.

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wbo4958 commented Jul 22, 2024

I won't review the code, since I don't think I am qualified to review such a large change in the Java/Scala code base. The best I can do is to review the changes in the CI/CD pipelines.

Thx

@dotbg
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dotbg commented Jul 22, 2024

@wbo4958 thank you for the PR. I shall find some time to go through it. Unfortunately, I was very busy lately :(
@hcho3 thank you for reviewing the CI/CD part. this should easen the review for me.

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left a few comments, but I am rather far from done yet

@@ -133,7 +133,7 @@
<property name="braceAdjustment" value="0"/>
<property name="caseIndent" value="2"/>
<property name="throwsIndent" value="4"/>
<property name="lineWrappingIndentation" value="4"/>
<property name="lineWrappingIndentation" value="2"/>
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Let's make this change in another PR

<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<maven.compiler.source>1.8</maven.compiler.source>
<maven.compiler.target>1.8</maven.compiler.target>
<flink.version>1.19.0</flink.version>
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Suggested change
<flink.version>1.19.0</flink.version>
<flink.version>1.19.1</flink.version>

<junit.version>4.13.2</junit.version>
<spark.version>3.5.1</spark.version>
<spark.version.gpu>3.5.1</spark.version.gpu>
<fasterxml.jackson.version>2.15.2</fasterxml.jackson.version>
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Suggested change
<fasterxml.jackson.version>2.15.2</fasterxml.jackson.version>
<fasterxml.jackson.version>2.17.2</fasterxml.jackson.version>

<maven.wagon.http.retryHandler.count>5</maven.wagon.http.retryHandler.count>
<log.capi.invocation>OFF</log.capi.invocation>
<use.cuda>OFF</use.cuda>
<spark.rapids.version>24.04.1</spark.rapids.version>
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Suggested change
<spark.rapids.version>24.04.1</spark.rapids.version>
<spark.rapids.version>24.06.0</spark.rapids.version>

<use.cuda>OFF</use.cuda>
<spark.rapids.version>24.04.1</spark.rapids.version>
<cudf.classifier>cuda12</cudf.classifier>
<scalatest.version>3.2.18</scalatest.version>
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Suggested change
<scalatest.version>3.2.18</scalatest.version>
<scalatest.version>3.2.19</scalatest.version>

<plugin>
<groupId>org.apache.maven.plugins</groupId>
<artifactId>maven-jar-plugin</artifactId>
<version>3.4.1</version>
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Suggested change
<version>3.4.1</version>
<version>3.4.2</version>

@@ -82,19 +82,27 @@ This file is divided into 3 sections:
</check>

<check level="error" class="org.scalastyle.scalariform.ClassNamesChecker" enabled="true">
<parameters><parameter name="regex"><![CDATA[[A-Z][A-Za-z]*]]></parameter></parameters>
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let's have these changes in another PR.

"device" -> device
)
)
).setNumRound(10).setNumWorkers(numWorkers)
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will it still work if we specify the map values instead?

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wbo4958 commented Jul 22, 2024

HI @dotbg, Thx for review, some other reviewers complained this PR is quite huge PR, So I will break it down to smaller PRs. Will let you know. Thx again.

@wbo4958 wbo4958 marked this pull request as draft July 23, 2024 01:28
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@wbo4958 can we close this PR?

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wbo4958 commented Nov 20, 2024

Yes, close this PR

@wbo4958 wbo4958 closed this Nov 20, 2024
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