Can you test `./build/mvn clean package -Phive` ? Thanks
发件人: Bjørn Jørgensen <bjornjorgen...@gmail.com> 日期: 2023年3月11日 星期六 20:33 收件人: Xinrong Meng <xinrong.apa...@gmail.com> 抄送: beliefer <belie...@163.com>, dev <dev@spark.apache.org> 主题: Re: Re: [VOTE] Release Apache Spark 3.4.0 (RC4) Ubuntu 23.04 java --version openjdk 17.0.6 2023-01-17 OpenJDK Runtime Environment (build 17.0.6+10-Ubuntu-1) OpenJDK 64-Bit Server VM (build 17.0.6+10-Ubuntu-1, mixed mode, sharing) python3 Python 3.11.1 (main, Dec 31 2022, 10:23:59) [GCC 12.2.0] on linux ./build/mvn clean package - broadcast join - test temp view *** FAILED *** io.grpc.StatusRuntimeException: INTERNAL: Error while instantiating 'org.apache.spark.sql.hive.HiveExternalCatalog': at io.grpc.Status.asRuntimeException(Status.java:535) at io.grpc.stub.ClientCalls$BlockingResponseStream.hasNext(ClientCalls.java:660) at scala.collection.convert.Wrappers$JIteratorWrapper.hasNext(Wrappers.scala:45) at scala.collection.Iterator.find(Iterator.scala:993) at scala.collection.Iterator.find$(Iterator.scala:992) at scala.collection.AbstractIterator.find(Iterator.scala:1431) at org.apache.spark.sql.SparkSession.$anonfun$sql$1(SparkSession.scala:246) at org.apache.spark.sql.SparkSession.$anonfun$sql$1$adapted(SparkSession.scala:238) at org.apache.spark.sql.SparkSession.newDataset(SparkSession.scala:371) at org.apache.spark.sql.SparkSession.newDataFrame(SparkSession.scala:365) ... - column resolution - test implicit encoder resolution *** FAILED *** 2023-03-11T00:01:01.810547 did not equal 2023-03-11T00:01:01.810547662 (SQLImplicitsTestSuite.scala:63) FunctionTestSuite: Run completed in 36 seconds, 921 milliseconds. Total number of tests run: 683 Suites: completed 12, aborted 0 Tests: succeeded 676, failed 7, canceled 0, ignored 1, pending 0 *** 7 TESTS FAILED *** [INFO] ------------------------------------------------------------------------ [INFO] Reactor Summary for Spark Project Parent POM 3.4.0: [INFO] [INFO] Spark Project Parent POM ........................... SUCCESS [ 6.417 s] [INFO] Spark Project Tags ................................. SUCCESS [ 8.257 s] [INFO] Spark Project Sketch ............................... SUCCESS [ 29.830 s] [INFO] Spark Project Local DB ............................. SUCCESS [ 20.144 s] [INFO] Spark Project Networking ........................... SUCCESS [01:14 min] [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 19.269 s] [INFO] Spark Project Unsafe ............................... SUCCESS [ 21.489 s] [INFO] Spark Project Launcher ............................. SUCCESS [ 10.221 s] [INFO] Spark Project Core ................................. SUCCESS [40:11 min] [INFO] Spark Project ML Local Library ..................... SUCCESS [ 40.290 s] [INFO] Spark Project GraphX ............................... SUCCESS [02:26 min] [INFO] Spark Project Streaming ............................ SUCCESS [06:07 min] [INFO] Spark Project Catalyst ............................. SUCCESS [12:05 min] [INFO] Spark Project SQL .................................. SUCCESS [ 02:13 h] [INFO] Spark Project ML Library ........................... SUCCESS [22:12 min] [INFO] Spark Project Tools ................................ SUCCESS [ 6.802 s] [INFO] Spark Project Hive ................................. SUCCESS [ 01:09 h] [INFO] Spark Project REPL ................................. SUCCESS [02:01 min] [INFO] Spark Project Assembly ............................. SUCCESS [ 10.987 s] [INFO] Kafka 0.10+ Token Provider for Streaming ........... SUCCESS [ 24.884 s] [INFO] Spark Integration for Kafka 0.10 ................... SUCCESS [01:40 min] [INFO] Kafka 0.10+ Source for Structured Streaming ........ SUCCESS [34:14 min] [INFO] Spark Project Examples ............................. SUCCESS [ 57.978 s] [INFO] Spark Integration for Kafka 0.10 Assembly .......... SUCCESS [ 18.300 s] [INFO] Spark Avro ......................................... SUCCESS [02:01 min] [INFO] Spark Project Connect Common ....................... SUCCESS [ 43.491 s] [INFO] Spark Project Connect Server ....................... SUCCESS [01:03 min] [INFO] Spark Project Connect Client ....................... FAILURE [01:14 min] [INFO] Spark Protobuf ..................................... SKIPPED [INFO] ------------------------------------------------------------------------ [INFO] BUILD FAILURE [INFO] ------------------------------------------------------------------------ [INFO] Total time: 05:34 h [INFO] Finished at: 2023-03-11T00:01:14+01:00 [INFO] ------------------------------------------------------------------------ [ERROR] Failed to execute goal org.scalatest:scalatest-maven-plugin:2.2.0:test (test) on project spark-connect-client-jvm_2.12: There are test failures -> [Help 1] [ERROR] [ERROR] To see the full stack trace of the errors, re-run Maven with the -e switch. [ERROR] Re-run Maven using the -X switch to enable full debug logging. [ERROR] [ERROR] For more information about the errors and possible solutions, please read the following articles: [ERROR] [Help 1] http://cwiki.apache.org/confluence/display/MAVEN/MojoFailureException<https://mailshield.baidu.com/check?q=uvNqv3q7iidBzcpxgEE0ifvMIOqlC%2bcJlro4NIY4KsQQXSbUE%2b%2f3N0Mffl%2bxwkotAXBqL4CkZ9nCh29ZLDtsAHvMJSICooWbPcYYtg%3d%3d> [ERROR] [ERROR] After correcting the problems, you can resume the build with the command [ERROR] mvn <args> -rf :spark-connect-client-jvm_2.12 lør. 11. mar. 2023 kl. 03:18 skrev Xinrong Meng <xinrong.apa...@gmail.com<mailto:xinrong.apa...@gmail.com>>: Thank you @beliefer. On Sat, Mar 11, 2023 at 9:54 AM beliefer <belie...@163.com<mailto:belie...@163.com>> wrote: There is a bug fix. https://issues.apache.org/jira/browse/SPARK-42740<https://mailshield.baidu.com/check?q=NVNhlwVywiOTCef8T1gkvdM0FJPiRXW0XDTsxTdVihE5VNqAB%2bBUE80Fvv4Muc%2bPWRzDh%2bC%2fsZ0%3d> 在 2023-03-10 20:48:30，"Xinrong Meng" <xinrong.apa...@gmail.com<mailto:xinrong.apa...@gmail.com>> 写道： https://issues.apache.org/jira/browse/SPARK-42745<https://mailshield.baidu.com/check?q=xEgAkkbgayAR25TelzQxZpD4XLAs5vursloH6z282%2bkgIbF%2bv8a0k11jNv9v5%2b7RNntWzkbJY5o%3d> can be a new release blocker, thanks @Peter Toth<mailto:peter.t...@gmail.com> for reporting that. On Fri, Mar 10, 2023 at 8:21 PM Xinrong Meng <xinrong.apa...@gmail.com<mailto:xinrong.apa...@gmail.com>> wrote: Please vote on releasing the following candidate(RC4) as Apache Spark version 3.4.0. The vote is open until 11:59pm Pacific time March 15th and passes if a majority +1 PMC votes are cast, with a minimum of 3 +1 votes. [ ] +1 Release this package as Apache Spark 3.4.0 [ ] -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 v3.4.0-rc4 (commit 4000d6884ce973eb420e871c8d333431490be763): https://github.com/apache/spark/tree/v3.4.0-rc4<https://mailshield.baidu.com/check?q=6IirG7fziePvCacOReK6jUdmuJP6KMbW4fUCndc6OVnk85KXW4QmYTMsmVjwV321SbCcMA%3d%3d> The release files, including signatures, digests, etc. can be found at: https://dist.apache.org/repos/dist/dev/spark/v3.4.0-rc4-bin/<https://mailshield.baidu.com/check?q=XJc0cv5rM0eszvOkhyfTtNH5GLa1nGF%2fWbwvlNPTR7sc0vDaxlyyE%2b0WuhWJjjQSWG%2b0Ln%2fr18mKRROk%2btTsLA%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-1438<https://mailshield.baidu.com/check?q=GlTXcuxQCx%2b7W2QorEq0jIiTn0Obe3TpRSeGffKHyCRHzt4zuzVuXHSsN3WVaI5u6WDuGiU5q9TUMjTURM9x5ZPnt0EXKc%2bHT%2fgTqQ%3d%3d> The documentation corresponding to this release can be found at: https://dist.apache.org/repos/dist/dev/spark/v3.4.0-rc4-docs/<https://mailshield.baidu.com/check?q=oAXUzuRiGyXS1%2frfhLFDCOB5UIxLKqhijZlhbufhSTFpYIjhSoL0ylxmvm2vrWWw7bCvL%2bvzXhkncvNMEln2ndc0J6A%3d> The list of bug fixes going into 3.4.0 can be found at the following URL: https://issues.apache.org/jira/projects/SPARK/versions/12351465<https://mailshield.baidu.com/check?q=hdSxPMAr37WGNHJRNA4Mh1JkSlqjUL%2bM8BgEclwc23ePHCBzkAjvhgnZa0N7SPRWAcgfoLXjX43CxJXmKnDj0LIElJs%3d> This release is using the release script of the tag v3.4.0-rc4. 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 3.4.0? =========================================== The current list of open tickets targeted at 3.4.0 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" = 3.4.0 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. Thanks, Xinrong Meng -- Bjørn Jørgensen Vestre Aspehaug 4, 6010 Ålesund Norge +47 480 94 297
