Re: [VOTE] SPARK 4.0.0-preview1 (RC1)
RC1 failed because of this issue. I'll cut RC2 after we downgrade Jetty to 9.x. On Sat, May 11, 2024 at 3:37 PM Cheng Pan wrote: > -1 (non-binding) > > A small question, the tag is orphan but I suppose it should belong to the > master branch. > > Seems YARN integration is broken due to javax => jakarta namespace > migration, I filled SPARK-48238, and left some comments on > https://github.com/apache/spark/pull/45154 > > Caused by: java.lang.IllegalStateException: class > org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter is not a > jakarta.servlet.Filter > at > org.sparkproject.jetty.servlet.FilterHolder.doStart(FilterHolder.java:99) > ~[spark-core_2.13-4.0.0-preview1.jar:4.0.0-preview1] > at > org.sparkproject.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:93) > ~[spark-core_2.13-4.0.0-preview1.jar:4.0.0-preview1] > at > org.sparkproject.jetty.servlet.ServletHandler.lambda$initialize$2(ServletHandler.java:724) > ~[spark-core_2.13-4.0.0-preview1.jar:4.0.0-preview1] > at > java.base/java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1625) > ~[?:?] > at > java.base/java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:734) > ~[?:?] > at > java.base/java.util.stream.ReferencePipeline$Head.forEach(ReferencePipeline.java:762) > ~[?:?] > at > org.sparkproject.jetty.servlet.ServletHandler.initialize(ServletHandler.java:749) > ~[spark-core_2.13-4.0.0-preview1.jar:4.0.0-preview1] > ... 38 more > > Thanks, > Cheng Pan > > > > On May 11, 2024, at 13:55, Wenchen Fan wrote: > > > > Please vote on releasing the following candidate as Apache Spark version > 4.0.0-preview1. > > > > The vote is open until May 16 PST and passes if a majority +1 PMC votes > are cast, with > > a minimum of 3 +1 votes. > > > > [ ] +1 Release this package as Apache Spark 4.0.0-preview1 > > [ ] -1 Do not release this package because ... > > > > To learn more about Apache Spark, please see http://spark.apache.org/ > > > > The tag to be voted on is v4.0.0-preview1-rc1 (commit > 7dcf77c739c3854260464d732dbfb9a0f54706e7): > > https://github.com/apache/spark/tree/v4.0.0-preview1-rc1 > > > > The release files, including signatures, digests, etc. can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc1-bin/ > > > > Signatures used for Spark RCs can be found in this file: > > https://dist.apache.org/repos/dist/dev/spark/KEYS > > > > The staging repository for this release can be found at: > > https://repository.apache.org/content/repositories/orgapachespark-1454/ > > > > The documentation corresponding to this release can be found at: > > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc1-docs/ > > > > The list of bug fixes going into 4.0.0 can be found at the following URL: > > https://issues.apache.org/jira/projects/SPARK/versions/12353359 > > > > 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 an out of date RC going forward). > >
Re: [VOTE] SPARK 4.0.0-preview1 (RC1)
-1 (non-binding) A small question, the tag is orphan but I suppose it should belong to the master branch. Seems YARN integration is broken due to javax => jakarta namespace migration, I filled SPARK-48238, and left some comments on https://github.com/apache/spark/pull/45154 Caused by: java.lang.IllegalStateException: class org.apache.hadoop.yarn.server.webproxy.amfilter.AmIpFilter is not a jakarta.servlet.Filter at org.sparkproject.jetty.servlet.FilterHolder.doStart(FilterHolder.java:99) ~[spark-core_2.13-4.0.0-preview1.jar:4.0.0-preview1] at org.sparkproject.jetty.util.component.AbstractLifeCycle.start(AbstractLifeCycle.java:93) ~[spark-core_2.13-4.0.0-preview1.jar:4.0.0-preview1] at org.sparkproject.jetty.servlet.ServletHandler.lambda$initialize$2(ServletHandler.java:724) ~[spark-core_2.13-4.0.0-preview1.jar:4.0.0-preview1] at java.base/java.util.ArrayList$ArrayListSpliterator.forEachRemaining(ArrayList.java:1625) ~[?:?] at java.base/java.util.stream.Streams$ConcatSpliterator.forEachRemaining(Streams.java:734) ~[?:?] at java.base/java.util.stream.ReferencePipeline$Head.forEach(ReferencePipeline.java:762) ~[?:?] at org.sparkproject.jetty.servlet.ServletHandler.initialize(ServletHandler.java:749) ~[spark-core_2.13-4.0.0-preview1.jar:4.0.0-preview1] ... 38 more Thanks, Cheng Pan > On May 11, 2024, at 13:55, Wenchen Fan wrote: > > Please vote on releasing the following candidate as Apache Spark version > 4.0.0-preview1. > > The vote is open until May 16 PST and passes if a majority +1 PMC votes are > cast, with > a minimum of 3 +1 votes. > > [ ] +1 Release this package as Apache Spark 4.0.0-preview1 > [ ] -1 Do not release this package because ... > > To learn more about Apache Spark, please see http://spark.apache.org/ > > The tag to be voted on is v4.0.0-preview1-rc1 (commit > 7dcf77c739c3854260464d732dbfb9a0f54706e7): > https://github.com/apache/spark/tree/v4.0.0-preview1-rc1 > > The release files, including signatures, digests, etc. can be found at: > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc1-bin/ > > Signatures used for Spark RCs can be found in this file: > https://dist.apache.org/repos/dist/dev/spark/KEYS > > The staging repository for this release can be found at: > https://repository.apache.org/content/repositories/orgapachespark-1454/ > > The documentation corresponding to this release can be found at: > https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc1-docs/ > > The list of bug fixes going into 4.0.0 can be found at the following URL: > https://issues.apache.org/jira/projects/SPARK/versions/12353359 > > 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 an out of date RC going forward). - To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
[VOTE] SPARK 4.0.0-preview1 (RC1)
Please vote on releasing the following candidate as Apache Spark version 4.0.0-preview1. The vote is open until May 16 PST and passes if a majority +1 PMC votes are cast, with a minimum of 3 +1 votes. [ ] +1 Release this package as Apache Spark 4.0.0-preview1 [ ] -1 Do not release this package because ... To learn more about Apache Spark, please see http://spark.apache.org/ The tag to be voted on is v4.0.0-preview1-rc1 (commit 7dcf77c739c3854260464d732dbfb9a0f54706e7): https://github.com/apache/spark/tree/v4.0.0-preview1-rc1 The release files, including signatures, digests, etc. can be found at: https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc1-bin/ Signatures used for Spark RCs can be found in this file: https://dist.apache.org/repos/dist/dev/spark/KEYS The staging repository for this release can be found at: https://repository.apache.org/content/repositories/orgapachespark-1454/ The documentation corresponding to this release can be found at: https://dist.apache.org/repos/dist/dev/spark/v4.0.0-preview1-rc1-docs/ The list of bug fixes going into 4.0.0 can be found at the following URL: https://issues.apache.org/jira/projects/SPARK/versions/12353359 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 an out of date RC going forward).
