pan3793 opened a new pull request, #51725: URL: https://github.com/apache/spark/pull/51725
<!-- Thanks for sending a pull request! Here are some tips for you: 1. If this is your first time, please read our contributor guidelines: https://spark.apache.org/contributing.html 2. Ensure you have added or run the appropriate tests for your PR: https://spark.apache.org/developer-tools.html 3. If the PR is unfinished, add '[WIP]' in your PR title, e.g., '[WIP][SPARK-XXXX] Your PR title ...'. 4. Be sure to keep the PR description updated to reflect all changes. 5. Please write your PR title to summarize what this PR proposes. 6. If possible, provide a concise example to reproduce the issue for a faster review. 7. If you want to add a new configuration, please read the guideline first for naming configurations in 'core/src/main/scala/org/apache/spark/internal/config/ConfigEntry.scala'. 8. If you want to add or modify an error type or message, please read the guideline first in 'common/utils/src/main/resources/error/README.md'. --> ### What changes were proposed in this pull request? <!-- Please clarify what changes you are proposing. The purpose of this section is to outline the changes and how this PR fixes the issue. If possible, please consider writing useful notes for better and faster reviews in your PR. See the examples below. 1. If you refactor some codes with changing classes, showing the class hierarchy will help reviewers. 2. If you fix some SQL features, you can provide some references of other DBMSes. 3. If there is design documentation, please add the link. 4. If there is a discussion in the mailing list, please add the link. --> Currently, JPMS args are only applied to `SparkSubmit`-based processes, for non-`SparkSubmit` processes, e.g. Spark History Server, BeeLine, JPMS args are not applied automatically. For example, when trying run Spark History Server with Java 24, I see [JEP 472](https://openjdk.org/jeps/472) complains ``` $ spark-4.1.0-SNAPSHOT-bin-hadoop3 SPARK_NO_DAEMONIZE=1 sbin/start-history-server.sh starting org.apache.spark.deploy.history.HistoryServer, logging to /Users/chengpan/app/spark-4.1.0-SNAPSHOT-bin-hadoop3/logs/spark-chengpan-org.apache.spark.deploy.history.HistoryServer-1-H27212-MAC-01.local.out Spark Command: /Users/chengpan/.sdkman/candidates/java/24.0.2-tem/bin/java -cp /Users/chengpan/app/spark-4.1.0-SNAPSHOT-bin-hadoop3/conf/:/Users/chengpan/app/spark-4.1.0-SNAPSHOT-bin-hadoop3/jars/slf4j-api-2.0.17.jar:/Users/chengpan/app/spark-4.1.0-SNAPSHOT-bin-hadoop3/jars/* -Xmx1g org.apache.spark.deploy.history.HistoryServer ======================================== Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties 25/07/30 21:28:39 INFO HistoryServer: Started daemon with process name: 54576@H27212-MAC-01.local 25/07/30 21:28:39 INFO SignalUtils: Registering signal handler for TERM 25/07/30 21:28:39 INFO SignalUtils: Registering signal handler for HUP 25/07/30 21:28:39 INFO SignalUtils: Registering signal handler for INT WARNING: A restricted method in java.lang.System has been called WARNING: java.lang.System::loadLibrary has been called by org.apache.hadoop.util.NativeCodeLoader in an unnamed module (file:/Users/chengpan/app/spark-4.1.0-SNAPSHOT-bin-hadoop3/jars/hadoop-client-api-3.4.1.jar) WARNING: Use --enable-native-access=ALL-UNNAMED to avoid a warning for callers in this module WARNING: Restricted methods will be blocked in a future release unless native access is enabled 25/07/30 21:28:39 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties ... ``` ### Why are the changes needed? <!-- Please clarify why the changes are needed. For instance, 1. If you propose a new API, clarify the use case for a new API. 2. If you fix a bug, you can clarify why it is a bug. --> I think the JPMS args defined at `JavaModuleOptions.DEFAULT_MODULE_OPTIONS` are intended to be applied to all Spark process, so I would classify this as a bug. ### Does this PR introduce _any_ user-facing change? <!-- Note that it means *any* user-facing change including all aspects such as new features, bug fixes, or other behavior changes. Documentation-only updates are not considered user-facing changes. If yes, please clarify the previous behavior and the change this PR proposes - provide the console output, description and/or an example to show the behavior difference if possible. If possible, please also clarify if this is a user-facing change compared to the released Spark versions or within the unreleased branches such as master. If no, write 'No'. --> Seems no, as I haven't seen Spark deamon process failures caused by missing JPMS args in our real use cases. ### How was this patch tested? <!-- If tests were added, say they were added here. Please make sure to add some test cases that check the changes thoroughly including negative and positive cases if possible. If it was tested in a way different from regular unit tests, please clarify how you tested step by step, ideally copy and paste-able, so that other reviewers can test and check, and descendants can verify in the future. If tests were not added, please describe why they were not added and/or why it was difficult to add. If benchmark tests were added, please run the benchmarks in GitHub Actions for the consistent environment, and the instructions could accord to: https://spark.apache.org/developer-tools.html#github-workflow-benchmarks. --> UT is added. Also verified Spark History Server start command: ``` spark-4.1.0-SNAPSHOT-bin-SPARK-53020 SPARK_NO_DAEMONIZE=1 sbin/start-history-server.sh starting org.apache.spark.deploy.history.HistoryServer, logging to /Users/chengpan/app/spark-4.1.0-SNAPSHOT-bin-SPARK-53020/logs/spark-chengpan-org.apache.spark.deploy.history.HistoryServer-1-H27212-MAC-01.local.out Spark Command: /Users/chengpan/.sdkman/candidates/java/24.0.2-tem/bin/java -cp /Users/chengpan/app/spark-4.1.0-SNAPSHOT-bin-SPARK-53020/conf/:/Users/chengpan/app/spark-4.1.0-SNAPSHOT-bin-SPARK-53020/jars/slf4j-api-2.0.17.jar:/Users/chengpan/app/spark-4.1.0-SNAPSHOT-bin-SPARK-53020/jars/* -Xmx1g -XX:+IgnoreUnrecognizedVMOptions --add-modules=jdk.incubator.vector --add-opens=java.base/java.lang=ALL-UNNAMED --add-opens=java.base/java.lang.invoke=ALL-UNNAMED --add-opens=java.base/java.lang.reflect=ALL-UNNAMED --add-opens=java.base/java.io=ALL-UNNAMED --add-opens=java.base/java.net=ALL-UNNAMED --add-opens=java.base/java.nio=ALL-UNNAMED --add-opens=java.base/java.util=ALL-UNNAMED --add-opens=java.base/java.util.concurrent=ALL-UNNAMED --add-opens=java.base/java.util.concurrent.atomic=ALL-UNNAMED --add-opens=java.base/jdk.internal.ref=ALL-UNNAMED --add-opens=java.base/sun.nio.ch=ALL-UNNAMED --add-opens=java.base/sun.nio.cs=ALL-UNNAMED --add-opens=java.base/sun.security.action=ALL-UNNAMED --add-opens=java.base/sun.util.calendar=ALL-UNNAMED --add-opens=java.security.jgss/sun.security.krb5=ALL-UNNAMED -Djdk.reflect.useDirectMethodHandle=false -Dio.netty.tryReflectionSetAccessible=true --enable-native-access=ALL-UNNAMED org.apache.spark.deploy.history.HistoryServer ======================================== WARNING: Using incubator modules: jdk.incubator.vector WARNING: package sun.security.action not in java.base Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties 25/07/30 22:06:38 INFO HistoryServer: Started daemon with process name: 60622@H27212-MAC-01.local 25/07/30 22:06:38 INFO SignalUtils: Registering signal handler for TERM 25/07/30 22:06:38 INFO SignalUtils: Registering signal handler for HUP 25/07/30 22:06:38 INFO SignalUtils: Registering signal handler for INT 25/07/30 22:06:38 WARN NativeCodeLoader: Unable to load native-hadoop library for your platform... using builtin-java classes where applicable Using Spark's default log4j profile: org/apache/spark/log4j2-defaults.properties ... ``` ### Was this patch authored or co-authored using generative AI tooling? <!-- If generative AI tooling has been used in the process of authoring this patch, please include the phrase: 'Generated-by: ' followed by the name of the tool and its version. If no, write 'No'. Please refer to the [ASF Generative Tooling Guidance](https://www.apache.org/legal/generative-tooling.html) for details. --> No. -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For queries about this service, please contact Infrastructure at: us...@infra.apache.org --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org