FYI, this RC includes SPARK-59407/SPARK-59804, which made line splitting in the event log replay reader about 5x slower than in 4.0.4 (History Server UI loading and event log compaction). SPARK-60158 fixes it and is already on branch-4.0, but it landed after RC2 was cut. It is a performance regression, not a correctness issue, so I don’t consider it a blocker, but it would be good to pick it up if there is another RC.
On Mon, Oct 12, 2026 at 11:56 AM Uroš Bojanić <[email protected]> wrote: > Please vote on releasing the following candidate as Apache Spark version > 4.0.5. > > The vote is open until Thu, 15 Oct 2026 12:38:20 PDT and passes if a > majority +1 PMC votes are cast, with > a minimum of 3 +1 votes. > > [ ] +1 Release this package as Apache Spark 4.0.5 > [ ] -1 Do not release this package because ... > > To learn more about Apache Spark, please see https://spark.apache.org/ > > The tag to be voted on is v4.0.5-rc2 (commit 51d701c09de): > https://github.com/apache/spark/tree/v4.0.5-rc2 > > The release files, including signatures, digests, etc. can be found at: > https://dist.apache.org/repos/dist/dev/spark/v4.0.5-rc2-bin/ > > Signatures used for Spark RCs can be found in this file: > https://downloads.apache.org/spark/KEYS > > The staging repository for this release can be found at: > https://repository.apache.org/content/repositories/orgapachespark-1535/ > > The documentation corresponding to this release can be found at: > https://dist.apache.org/repos/dist/dev/spark/v4.0.5-rc2-docs/ > > The list of bug fixes going into 4.0.5 can be found at the following URL: > https://issues.apache.org/jira/projects/SPARK/versions/12357251 > > 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 via "pip install > https://dist.apache.org/repos/dist/dev/spark/v4.0.5-rc2-bin/pyspark-4.0.5.tar.gz > " > and see if anything important breaks. > In the Java/Scala, you can add the staging repository to your project's > 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 you don't end up building with an out of date RC going forward).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: [email protected] > >
