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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2020/10/30 03:43:46 UTC

[GitHub] [spark] HyukjinKwon opened a new pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

HyukjinKwon opened a new pull request #30198:
URL: https://github.com/apache/spark/pull/30198


   ### What changes were proposed in this pull request?
   
   This PR proposes to switch the class loader strategy from `ScalaLibrary` to `Flat` (see https://www.scala-sbt.org/1.x/docs/In-Process-Classloaders.html). See also https://github.com/sbt/sbt/issues/5736
   
   ### Why are the changes needed?
   
   To make the build unflaky.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No, dev-only.
   
   ### How was this patch tested?
   
   GitHub Actions build in this test.


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[GitHub] [spark] HyukjinKwon edited a comment on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon edited a comment on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719425435


   @maropu, I am not very sure. From reading the doc, seems it dose because it will change a class loader, within SBT, that is used during `test` tasks. I think the SBT maintainer suggested this way because he suspects that there's something wrong in the reused class loader. So by changing it to `Flat`, it won't be reused anymore.
   
   Ideally it should not have any behaviour change even with the default `ScalaLibrary` but seems it did (?).


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[GitHub] [spark] HyukjinKwon edited a comment on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon edited a comment on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719431198


   Oh, @gemelen. Yeah that would have been better. But it's okay because currently there is only one Spark in the release (in terms of JDK, not Hive or Hadoop versions), that is built by JDK 8, that can run on both JDK 8 and JDK 11.
   
   GitHub Actions has a job that builds it with JDK 11 but that's more about a sanity check so we can easily drop JDK 8 and move to JDK 11 later. I think we can just remove this out when we migrate to JDK 11 later.


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[GitHub] [spark] HyukjinKwon edited a comment on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon edited a comment on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719431198


   Oh, @gemelen. Yeah that would have been better. But it's okay because currently there is only one Spark in the release (in terms of JDK, not Hive or Hadoop versions), that is built by JDK 8, that can run on both JRE 8 and JRE 11.
   
   GitHub Actions has a job that compiles it with JDK 11 (without running tests) but that's more about a sanity check so we can easily drop JDK 8 and move to JDK 11 later. I think we can just remove this out when we migrate to JDK 11 later.


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[GitHub] [spark] HyukjinKwon edited a comment on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon edited a comment on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719427691


   I ran the build 15 times. Meaning 150 times compilation, and I don't see the same error anymore. Other errors look something already going on without this PR.
   
   I am going to merge this.. let's see how it goes.
   
   Merged to master.


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[GitHub] [spark] HyukjinKwon commented on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719425435


   @maropu, I am not very sure. From reading the doc, seems it dose because it will change a class loader, within SBT, that is used during `test` tasks. I think the SBT maintainer suggested this way by suspecting that there's something wrong in the reused class loader. So by changing it to `Flat`, it won't be reused anymore.
   
   Ideally it should not have any behaviour change even with the default `ScalaLibrary` but seems it did (?).


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[GitHub] [spark] SparkQA commented on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719342926


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[GitHub] [spark] HyukjinKwon commented on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-727917492


   Thanks @MaxGekk. It became less frequent given my observation but maybe I was wrong. I will check the builds tomorrow more closely.


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[GitHub] [spark] HyukjinKwon commented on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719427691


   I ran the build 15 times. Meaning 150 times build, and I don't see the same error anymore. Other errors look something already going on without this PR.
   
   I am going to merge this.. let's see how it goes.
   
   Merged to master.


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[GitHub] [spark] MaxGekk commented on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
MaxGekk commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-727916511


   I still observe the issue in https://github.com/apache/spark/pull/30377/checks?check_run_id=1405697533


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URL: https://github.com/apache/spark/pull/30198#issuecomment-719323867






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Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719168632


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[GitHub] [spark] HyukjinKwon commented on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719256412


   @dongjoon-hyun, @maropu, @gengliangwang, @gemelen, could we merge this and see how it goes if the tests pass?
   Seems 5 consecutive builds passed without that issue - I retriggered 5 more builds again just for doubly sure.


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[GitHub] [spark] HyukjinKwon edited a comment on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon edited a comment on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719431198


   Oh, @gemelen. Yeah that would have been better. But it's okay because currently there is only one Spark in the release (in terms of JDK, not Hive or Hadoop versions), that is built by JDK 8, that also works on both JDK 8 and JDK 11.
   
   GitHub Actions has a job that builds it with JDK 11 but that's more about a sanity check so we can easily drop JDK 8 and move to JDK 11 later. I think we can just remove this out when we migrate to JDK 11 later.


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[GitHub] [spark] HyukjinKwon commented on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
HyukjinKwon commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719431198


   Oh, @gemelen. Yeah that would have been better. But it's okay because currently there is only one Spark in the release, that is built by JDK 8, that also works on both JDK 8 and JDK 11.
   
   GitHub Actions has a job that builds it with JDK 11 but that's more about a sanity check so we can easily drop JDK 8 and move to JDK 11 later. I think we can just remove this out when we migrate to JDK 11 later.


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Posted by GitBox <gi...@apache.org>.
SparkQA commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719159577


   **[Test build #130437 has started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/130437/testReport)** for PR 30198 at commit [`57606c7`](https://github.com/apache/spark/commit/57606c7a2288db306d5abfe31bd51df956ae1d6d).


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[GitHub] [spark] maropu commented on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
maropu commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719304451


   looks fine. just out of curiosity; this strategy change doesn't affects test running time?


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[GitHub] [spark] gemelen commented on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

Posted by GitBox <gi...@apache.org>.
gemelen commented on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719428339


   Won't it be useful to guard this setting with condition to use only on JVM earlier than 11 then?
   // Seems I'm a bit late with that :)


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[GitHub] [spark] HyukjinKwon closed pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

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[GitHub] [spark] HyukjinKwon edited a comment on pull request #30198: [SPARK-33297][BUILD] Switch to use flat class loader strategy in SBT

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HyukjinKwon edited a comment on pull request #30198:
URL: https://github.com/apache/spark/pull/30198#issuecomment-719431198


   Oh, @gemelen. Yeah that would have been better. But it's okay because currently there is only one Spark in the release (in terms of JDK, not Hive or Hadoop versions), that is built by JDK 8, that can run on both JRE 8 and JRE 11.
   
   GitHub Actions has a job that builds it with JDK 11 but that's more about a sanity check so we can easily drop JDK 8 and move to JDK 11 later. I think we can just remove this out when we migrate to JDK 11 later.


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