Re: [VOTE] Release Spark 3.3.0 (RC3)
Hi All, The voting for Spark 3.3.0 RC3 failed due to reported correctness issues (regressions): 1. [Merged] https://issues.apache.org/jira/browse/SPARK-39293 2. [In progress] https://issues.apache.org/jira/browse/SPARK-39313 Maxim Gekk Software Engineer Databricks, Inc. On Fri, May 27, 2022 at 8:22 PM Takuya Ueshin wrote: > -1 > > I found a correctness issue of ArrayAggregate and the fix was merged after > the RC3 cut. > > - https://issues.apache.org/jira/browse/SPARK-39293 > - https://github.com/apache/spark/pull/36674 > > Thanks. > > > On Tue, May 24, 2022 at 10:21 AM Maxim Gekk > wrote: > >> Please vote on releasing the following candidate as >> Apache Spark version 3.3.0. >> >> The vote is open until 11:59pm Pacific time May 27th and passes if a >> majority +1 PMC votes are cast, with a minimum of 3 +1 votes. >> >> [ ] +1 Release this package as Apache Spark 3.3.0 >> [ ] -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 v3.3.0-rc3 (commit >> a7259279d07b302a51456adb13dc1e41a6fd06ed): >> https://github.com/apache/spark/tree/v3.3.0-rc3 >> >> The release files, including signatures, digests, etc. can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc3-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-1404 >> >> The documentation corresponding to this release can be found at: >> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc3-docs/ >> >> The list of bug fixes going into 3.3.0 can be found at the following URL: >> https://issues.apache.org/jira/projects/SPARK/versions/12350369 >> >> This release is using the release script of the tag v3.3.0-rc3. >> >> >> 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 3.3.0? >> === >> The current list of open tickets targeted at 3.3.0 can be found at: >> https://issues.apache.org/jira/projects/SPARK and search for "Target >> Version/s" = 3.3.0 >> >> 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. >> >> Maxim Gekk >> >> Software Engineer >> >> Databricks, Inc. >> >
Re: [VOTE] Release Spark 3.3.0 (RC3)
-1 I found a correctness issue of ArrayAggregate and the fix was merged after the RC3 cut. - https://issues.apache.org/jira/browse/SPARK-39293 - https://github.com/apache/spark/pull/36674 Thanks. On Tue, May 24, 2022 at 10:21 AM Maxim Gekk wrote: > Please vote on releasing the following candidate as > Apache Spark version 3.3.0. > > The vote is open until 11:59pm Pacific time May 27th and passes if a > majority +1 PMC votes are cast, with a minimum of 3 +1 votes. > > [ ] +1 Release this package as Apache Spark 3.3.0 > [ ] -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 v3.3.0-rc3 (commit > a7259279d07b302a51456adb13dc1e41a6fd06ed): > https://github.com/apache/spark/tree/v3.3.0-rc3 > > The release files, including signatures, digests, etc. can be found at: > https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc3-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-1404 > > The documentation corresponding to this release can be found at: > https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc3-docs/ > > The list of bug fixes going into 3.3.0 can be found at the following URL: > https://issues.apache.org/jira/projects/SPARK/versions/12350369 > > This release is using the release script of the tag v3.3.0-rc3. > > > 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 3.3.0? > === > The current list of open tickets targeted at 3.3.0 can be found at: > https://issues.apache.org/jira/projects/SPARK and search for "Target > Version/s" = 3.3.0 > > 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. > > Maxim Gekk > > Software Engineer > > Databricks, Inc. >
Re: [VOTE] Release Spark 3.3.0 (RC3)
+1. Ran through internal tests. Tom Graves On Tue, May 24, 2022 at 12:14 PM Maxim Gekk wrote: > > Please vote on releasing the following candidate as Apache Spark version > 3.3.0. > > The vote is open until 11:59pm Pacific time May 27th and passes if a majority > +1 PMC votes are cast, with a minimum of 3 +1 votes. > > [ ] +1 Release this package as Apache Spark 3.3.0 > [ ] -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 v3.3.0-rc3 (commit > a7259279d07b302a51456adb13dc1e41a6fd06ed): > https://github.com/apache/spark/tree/v3.3.0-rc3 > > The release files, including signatures, digests, etc. can be found at: > https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc3-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-1404 > > The documentation corresponding to this release can be found at: > https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc3-docs/ > > The list of bug fixes going into 3.3.0 can be found at the following URL: > https://issues.apache.org/jira/projects/SPARK/versions/12350369 > > This release is using the release script of the tag v3.3.0-rc3. > > > 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 3.3.0? > === > The current list of open tickets targeted at 3.3.0 can be found at: > https://issues.apache.org/jira/projects/SPARK and search for "Target > Version/s" = 3.3.0 > > 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. > > Maxim Gekk > > Software Engineer > > Databricks, Inc. - To unsubscribe e-mail: dev-unsubscr...@spark.apache.org
Re: [VOTE] Release Spark 3.3.0 (RC3)
+1. Ran through internal tests. Tom Graves On Tuesday, May 24, 2022, 12:13:56 PM CDT, Maxim Gekk wrote: Please vote on releasing the following candidate as Apache Spark version 3.3.0. The vote is open until 11:59pm Pacific time May 27th and passes if a majority +1 PMC votes are cast, with a minimum of 3 +1 votes. [ ] +1 Release this package as Apache Spark 3.3.0 [ ] -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 v3.3.0-rc3 (commit a7259279d07b302a51456adb13dc1e41a6fd06ed): https://github.com/apache/spark/tree/v3.3.0-rc3 The release files, including signatures, digests, etc. can be found at: https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc3-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-1404 The documentation corresponding to this release can be found at: https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc3-docs/ The list of bug fixes going into 3.3.0 can be found at the following URL: https://issues.apache.org/jira/projects/SPARK/versions/12350369 This release is using the release script of the tag v3.3.0-rc3. 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 3.3.0? === The current list of open tickets targeted at 3.3.0 can be found at: https://issues.apache.org/jira/projects/SPARK and search for "Target Version/s" = 3.3.0 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. Maxim Gekk Software Engineer Databricks, Inc.
