+1 (non-binding) Thank you Chao
Kazu | Kazuyuki Tanimura | ktanim...@apple.com | +1-408-207-7176 Apple Confidential and Proprietary Information This email and any attachments is privileged and contains confidential information intended only for the recipient(s) named above. Any other distribution, forwarding, copying or disclosure of this message is strictly prohibited. If you have received this email in error, please notify me immediately by telephone or return email, and delete this message from your system. > On Nov 15, 2022, at 10:04 AM, Sean Owen <sro...@gmail.com> wrote: > > +1 from me, at least from my testing. Java 8 + Scala 2.12 and Java 8 + Scala > 2.13 worked for me, and I didn't see a test hang. I am testing with Python > 3.10 FWIW. > > On Tue, Nov 15, 2022 at 6:37 AM Yang,Jie(INF) <yangji...@baidu.com > <mailto:yangji...@baidu.com>> wrote: > Hi, all > > > > I test v3.2.3 with following command: > > > > ``` > > dev/change-scala-version.sh 2.13 > > build/mvn clean install -Phadoop-3 -Phadoop-cloud -Pmesos -Pyarn > -Pkinesis-asl -Phive-thriftserver -Pspark-ganglia-lgpl -Pkubernetes -Phive > -Pscala-2.13 -fn > > ``` > > > > The testing environment is: > > > > OS: CentOS 6u3 Final > > Java: zulu 11.0.17 > > Python: 3.9.7 > > Scala: 2.13 > > > > The above test command has been executed twice, and all times hang in the > following stack: > > > > ``` > > "ScalaTest-main-running-JoinSuite" #1 prio=5 os_prio=0 cpu=312870.06ms > elapsed=1552.65s tid=0x00007f2ddc02d000 nid=0x7132 waiting on condition > [0x00007f2de3929000] > > java.lang.Thread.State: WAITING (parking) > > at jdk.internal.misc.Unsafe.park(java.base@11.0.17/Native Method) > > - parking to wait for <0x0000000790d00050> (a > java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject) > > at > java.util.concurrent.locks.LockSupport.park(java.base@11.0.17/LockSupport.java:194) > > at > java.util.concurrent.locks.AbstractQueuedSynchronizer$ConditionObject.await(java.base@11.0.17/AbstractQueuedSynchronizer.java:2081) > > at > java.util.concurrent.LinkedBlockingQueue.take(java.base@11.0.17/LinkedBlockingQueue.java:433) > > at > org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.$anonfun$getFinalPhysicalPlan$1(AdaptiveSparkPlanExec.scala:275) > > at > org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec$$Lambda$9429/0x0000000802269840.apply(Unknown > Source) > > at org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:775) > > at > org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.getFinalPhysicalPlan(AdaptiveSparkPlanExec.scala:228) > > - locked <0x0000000790d00208> (a java.lang.Object) > > at > org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.withFinalPlanUpdate(AdaptiveSparkPlanExec.scala:370) > > at > org.apache.spark.sql.execution.adaptive.AdaptiveSparkPlanExec.doExecute(AdaptiveSparkPlanExec.scala:355) > > at > org.apache.spark.sql.execution.SparkPlan.$anonfun$execute$1(SparkPlan.scala:185) > > at > org.apache.spark.sql.execution.SparkPlan$$Lambda$8573/0x0000000801f99c40.apply(Unknown > Source) > > at > org.apache.spark.sql.execution.SparkPlan.$anonfun$executeQuery$1(SparkPlan.scala:223) > > at > org.apache.spark.sql.execution.SparkPlan$$Lambda$8574/0x0000000801f9a040.apply(Unknown > Source) > > at > org.apache.spark.rdd.RDDOperationScope$.withScope(RDDOperationScope.scala:151) > > at > org.apache.spark.sql.execution.SparkPlan.executeQuery(SparkPlan.scala:220) > > at > org.apache.spark.sql.execution.SparkPlan.execute(SparkPlan.scala:181) > > at > org.apache.spark.sql.execution.QueryExecution.toRdd$lzycompute(QueryExecution.scala:172) > > - locked <0x0000000790d00218> (a > org.apache.spark.sql.execution.QueryExecution) > > at > org.apache.spark.sql.execution.QueryExecution.toRdd(QueryExecution.scala:171) > > at org.apache.spark.sql.Dataset.rdd$lzycompute(Dataset.scala:3247) > > - locked <0x0000000790d002d8> (a org.apache.spark.sql.Dataset) > > at org.apache.spark.sql.Dataset.rdd(Dataset.scala:3245) > > at > org.apache.spark.sql.QueryTest$.$anonfun$getErrorMessageInCheckAnswer$1(QueryTest.scala:265) > > at > org.apache.spark.sql.QueryTest$$$Lambda$8564/0x0000000801f94440.apply$mcJ$sp(Unknown > Source) > > at > scala.runtime.java8.JFunction0$mcJ$sp.apply(JFunction0$mcJ$sp.scala:17) > > at > org.apache.spark.sql.execution.SQLExecution$.withSQLConfPropagated(SQLExecution.scala:163) > > at > org.apache.spark.sql.QueryTest$.getErrorMessageInCheckAnswer(QueryTest.scala:265) > > at org.apache.spark.sql.QueryTest$.checkAnswer(QueryTest.scala:242) > > at org.apache.spark.sql.QueryTest.checkAnswer(QueryTest.scala:151) > > at org.apache.spark.sql.JoinSuite.checkAnswer(JoinSuite.scala:58) > > at > org.apache.spark.sql.JoinSuite.$anonfun$new$138(JoinSuite.scala:1062) > > at > org.apache.spark.sql.JoinSuite$$Lambda$2827/0x00000008013d5840.apply$mcV$sp(Unknown > Source) > > at > scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.scala:18) > > at org.scalatest.OutcomeOf.outcomeOf(OutcomeOf.scala:85) > > at org.scalatest.OutcomeOf.outcomeOf$(OutcomeOf.scala:83) > > at org.scalatest.OutcomeOf$.outcomeOf(OutcomeOf.scala:104) > > at org.scalatest.Transformer.apply(Transformer.scala:22) > > at org.scalatest.Transformer.apply(Transformer.scala:20) > > at > org.scalatest.funsuite.AnyFunSuiteLike$$anon$1.apply(AnyFunSuiteLike.scala:226) > > at org.apache.spark.SparkFunSuite.withFixture(SparkFunSuite.scala:190) > > at > org.scalatest.funsuite.AnyFunSuiteLike.invokeWithFixture$1(AnyFunSuiteLike.scala:224) > > at > org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTest$1(AnyFunSuiteLike.scala:236) > > at > org.scalatest.funsuite.AnyFunSuiteLike$$Lambda$8386/0x0000000801f0a840.apply(Unknown > Source) > > at org.scalatest.SuperEngine.runTestImpl(Engine.scala:306) > > at > org.scalatest.funsuite.AnyFunSuiteLike.runTest(AnyFunSuiteLike.scala:236) > > at > org.scalatest.funsuite.AnyFunSuiteLike.runTest$(AnyFunSuiteLike.scala:218) > > at org.apache.spark.SparkFunSuite.org > <http://org.apache.spark.sparkfunsuite.org/>$scalatest$BeforeAndAfterEach$$super$runTest(SparkFunSuite.scala:62) > > at > org.scalatest.BeforeAndAfterEach.runTest(BeforeAndAfterEach.scala:234) > > at > org.scalatest.BeforeAndAfterEach.runTest$(BeforeAndAfterEach.scala:227) > > at org.apache.spark.SparkFunSuite.runTest(SparkFunSuite.scala:62) > > at > org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$runTests$1(AnyFunSuiteLike.scala:269) > > at > org.scalatest.funsuite.AnyFunSuiteLike$$Lambda$8382/0x0000000801f0e840.apply(Unknown > Source) > > at > org.scalatest.SuperEngine.$anonfun$runTestsInBranch$1(Engine.scala:413) > > at > org.scalatest.SuperEngine$$Lambda$8383/0x0000000801f0d840.apply(Unknown > Source) > > at scala.collection.immutable.List.foreach(List.scala:333) > > at org.scalatest.SuperEngine.traverseSubNodes$1(Engine.scala:401) > > at org.scalatest.SuperEngine.runTestsInBranch(Engine.scala:396) > > at org.scalatest.SuperEngine.runTestsImpl(Engine.scala:475) > > at > org.scalatest.funsuite.AnyFunSuiteLike.runTests(AnyFunSuiteLike.scala:269) > > at > org.scalatest.funsuite.AnyFunSuiteLike.runTests$(AnyFunSuiteLike.scala:268) > > at org.scalatest.funsuite.AnyFunSuite.runTests(AnyFunSuite.scala:1563) > > at org.scalatest.Suite.run(Suite.scala:1112) > > at org.scalatest.Suite.run$(Suite.scala:1094) > > at org.scalatest.funsuite.AnyFunSuite.org > <http://org.scalatest.funsuite.anyfunsuite.org/>$scalatest$funsuite$AnyFunSuiteLike$$super$run(AnyFunSuite.scala:1563) > > at > org.scalatest.funsuite.AnyFunSuiteLike.$anonfun$run$1(AnyFunSuiteLike.scala:273) > > at > org.scalatest.funsuite.AnyFunSuiteLike$$Lambda$8376/0x0000000801f07840.apply(Unknown > Source) > > at org.scalatest.SuperEngine.runImpl(Engine.scala:535) > > at > org.scalatest.funsuite.AnyFunSuiteLike.run(AnyFunSuiteLike.scala:273) > > at > org.scalatest.funsuite.AnyFunSuiteLike.run$(AnyFunSuiteLike.scala:272) > > at org.apache.spark.SparkFunSuite.org > <http://org.apache.spark.sparkfunsuite.org/>$scalatest$BeforeAndAfterAll$$super$run(SparkFunSuite.scala:62) > > at > org.scalatest.BeforeAndAfterAll.liftedTree1$1(BeforeAndAfterAll.scala:213) > > at org.scalatest.BeforeAndAfterAll.run(BeforeAndAfterAll.scala:210) > > at org.scalatest.BeforeAndAfterAll.run$(BeforeAndAfterAll.scala:208) > > at org.apache.spark.SparkFunSuite.run(SparkFunSuite.scala:62) > > at org.scalatest.Suite.callExecuteOnSuite$1(Suite.scala:1175) > > at org.scalatest.Suite.$anonfun$runNestedSuites$1(Suite.scala:1222) > > at org.scalatest.Suite$$Lambda$7247/0x000000080193d040.apply(Unknown > Source) > > at scala.collection.ArrayOps$.foreach$extension(ArrayOps.scala:1323) > > at org.scalatest.Suite.runNestedSuites(Suite.scala:1220) > > at org.scalatest.Suite.runNestedSuites$(Suite.scala:1154) > > at > org.scalatest.tools.DiscoverySuite.runNestedSuites(DiscoverySuite.scala:30) > > at org.scalatest.Suite.run(Suite.scala:1109) > > at org.scalatest.Suite.run$(Suite.scala:1094) > > at org.scalatest.tools.DiscoverySuite.run(DiscoverySuite.scala:30) > > at org.scalatest.tools.SuiteRunner.run(SuiteRunner.scala:45) > > at > org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13(Runner.scala:1322) > > at > org.scalatest.tools.Runner$.$anonfun$doRunRunRunDaDoRunRun$13$adapted(Runner.scala:1316) > > at > org.scalatest.tools.Runner$$$Lambda$7245/0x000000080193e840.apply(Unknown > Source) > > at scala.collection.immutable.List.foreach(List.scala:333) > > at org.scalatest.tools.Runner$.doRunRunRunDaDoRunRun(Runner.scala:1316) > > at > org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24(Runner.scala:993) > > at > org.scalatest.tools.Runner$.$anonfun$runOptionallyWithPassFailReporter$24$adapted(Runner.scala:971) > > at > org.scalatest.tools.Runner$$$Lambda$60/0x0000000800148040.apply(Unknown > Source) > > at > org.scalatest.tools.Runner$.withClassLoaderAndDispatchReporter(Runner.scala:1482) > > at > org.scalatest.tools.Runner$.runOptionallyWithPassFailReporter(Runner.scala:971) > > at org.scalatest.tools.Runner$.main(Runner.scala:775) > > at org.scalatest.tools.Runner.main(Runner.scala) > > ``` > > I think the test case being executed is `SPARK-28323: PythonUDF should be > able to use in join condition`, does anyone have the same problem? > > > > Yang Jie > > > > > > 发件人: huaxin gao <huaxin.ga...@gmail.com <mailto:huaxin.ga...@gmail.com>> > 日期: 2022年11月15日 星期二 13:59 > 收件人: "L. C. Hsieh" <vii...@gmail.com <mailto:vii...@gmail.com>> > 抄送: Dongjoon Hyun <dongjoon.h...@gmail.com <mailto:dongjoon.h...@gmail.com>>, > Chao Sun <sunc...@apache.org <mailto:sunc...@apache.org>>, dev > <dev@spark.apache.org <mailto:dev@spark.apache.org>> > 主题: Re: [VOTE] Release Spark 3.2.3 (RC1) > > > > +1 > > > > Thanks Chao! > > > > On Mon, Nov 14, 2022 at 9:37 PM L. C. Hsieh <vii...@gmail.com > <mailto:vii...@gmail.com>> wrote: > > +1 > > Thanks Chao. > > On Mon, Nov 14, 2022 at 6:55 PM Dongjoon Hyun <dongjoon.h...@gmail.com > <mailto:dongjoon.h...@gmail.com>> wrote: > > > > +1 > > > > Thank you, Chao. > > > > On Mon, Nov 14, 2022 at 4:12 PM Chao Sun <sunc...@apache.org > > <mailto:sunc...@apache.org>> wrote: > >> > >> Please vote on releasing the following candidate as Apache Spark version > >> 3.2.3. > >> > >> The vote is open until 11:59pm Pacific time Nov 17th and passes if a > >> majority +1 PMC votes are cast, with a minimum of 3 +1 votes. > >> > >> [ ] +1 Release this package as Apache Spark 3.2.3 > >> [ ] -1 Do not release this package because ... > >> > >> To learn more about Apache Spark, please see http://spark.apache.org/ > >> <https://mailshield.baidu.com/check?q=eJcUboQ1HRRomPZKEwRzpl69wA8DbI%2fNIiRNsQ%3d%3d> > >> > >> The tag to be voted on is v3.2.3-rc1 (commit > >> b53c341e0fefbb33d115ab630369a18765b7763d): > >> https://github.com/apache/spark/tree/v3.2.3-rc1 > >> <https://mailshield.baidu.com/check?q=1l6n2dPAt62Hg3fIHnm%2bZiYaoxYOpGmWVjYnQimr29zfPU2uzgcQkLawzjK1HF%2bdD1yLsQ%3d%3d> > >> > >> The release files, including signatures, digests, etc. can be found at: > >> https://dist.apache.org/repos/dist/dev/spark/v3.2.3-rc1-bin/ > >> <https://mailshield.baidu.com/check?q=%2bhYCySw46HEVZlrXDDlrMzy6tGHW57fkaPIHyKgUBg1o83YtunwZU58LlZ4ZuxMWCmqht4FYN7WaSUyqTl4vFw%3d%3d> > >> > >> Signatures used for Spark RCs can be found in this file: > >> https://dist.apache.org/repos/dist/dev/spark/KEYS > >> <https://mailshield.baidu.com/check?q=E6fHbSXEWw02TTJBpc3bfA9mi7ea0YiWcNHkm%2fDJxwlaWinGnMdaoO1PahHhgj00vKwcbElpuHA%3d> > >> > >> The staging repository for this release can be found at: > >> https://repository.apache.org/content/repositories/orgapachespark-1431/ > >> <https://mailshield.baidu.com/check?q=wDoqNv5amlDmohUUV9yoBzlZBzBNp%2boFTrpIiSJ1wVxVYO3fQIzfMzclIsTAx8QnfdrepoSTkqsCu6xyMsjDBjXEXXyCYM501j8CMA%3d%3d> > >> > >> The documentation corresponding to this release can be found at: > >> https://dist.apache.org/repos/dist/dev/spark/v3.2.3-rc1-docs/ > >> <https://mailshield.baidu.com/check?q=bkrbaqzrftuBwkOZuV2GMw%2b3MANrfqFNBDTqjFATKt3KVRHB2cw5JRGvO5UfSg%2bchMROqtBVhqX2%2bDX0hO0azrRJ%2fI4%3d> > >> > >> The list of bug fixes going into 3.2.3 can be found at the following URL: > >> https://issues.apache.org/jira/projects/SPARK/versions/12352105 > >> <https://mailshield.baidu.com/check?q=InWtXpCRA7pNM4sgk90HUJRIE0cQByBdwj%2bfh%2bAu9JfLFQp7oZSMs0uliYo08CplvvNo3kRvPzALmuBJNTz39yYCyUw%3d> > >> > >> This release is using the release script of the tag v3.2.3-rc1. > >> > >> > >> FAQ > >> > >> ========================= > >> How can I help test this release? > >> ========================= > >> If you are a Spark user, you can help us test this release by taking > >> an existing Spark workload and running on this release candidate, then > >> reporting any regressions. > >> > >> If you're working in PySpark you can set up a virtual env and install > >> the current RC and see if anything important breaks, in the Java/Scala > >> you can add the staging repository to your projects resolvers and test > >> with the RC (make sure to clean up the artifact cache before/after so > >> you don't end up building with a out of date RC going forward). > >> > >> =========================================== > >> What should happen to JIRA tickets still targeting 3.2.3? > >> =========================================== > >> The current list of open tickets targeted at 3.2.3 can be found at: > >> https://issues.apache.org/jira/projects/SPARK > >> <https://mailshield.baidu.com/check?q=4UUpJqq41y71Gnuj0qTUYo6hTjqzT7oytN6x%2fvgC5XUtQUC8MfJ77tj7K70O%2f1QMmNoa1A%3d%3d> > >> and search for "Target > >> Version/s" = 3.2.3 > >> > >> Committers should look at those and triage. Extremely important bug > >> fixes, documentation, and API tweaks that impact compatibility should > >> be worked on immediately. Everything else please retarget to an > >> appropriate release. > >> > >> ================== > >> But my bug isn't fixed? > >> ================== > >> In order to make timely releases, we will typically not hold the > >> release unless the bug in question is a regression from the previous > >> release. That being said, if there is something which is a regression > >> that has not been correctly targeted please ping me or a committer to > >> help target the issue. > >> > >> --------------------------------------------------------------------- > >> To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > >> <mailto:dev-unsubscr...@spark.apache.org> > >> > > --------------------------------------------------------------------- > To unsubscribe e-mail: dev-unsubscr...@spark.apache.org > <mailto:dev-unsubscr...@spark.apache.org>
