I looked back at the first one (SPARK-37618), it expects/assumes a 0022
umask to correctly test the behavior. I'm not sure how to get that to not
fail or be ignored with a more open umask.

On Thu, May 5, 2022 at 1:56 PM Sean Owen <sro...@gmail.com> wrote:

> I'm seeing test failures; is anyone seeing ones like this? This is Java 8
> / Scala 2.12 / Ubuntu 22.04:
>
> - SPARK-37618: Sub dirs are group writable when removing from shuffle
> service enabled *** FAILED ***
>   [OWNER_WRITE, GROUP_READ, GROUP_WRITE, GROUP_EXECUTE, OTHERS_READ,
> OWNER_READ, OTHERS_EXECUTE, OWNER_EXECUTE] contained GROUP_WRITE
> (DiskBlockManagerSuite.scala:155)
>
> - Check schemas for expression examples *** FAILED ***
>   396 did not equal 398 Expected 396 blocks in result file but got 398.
> Try regenerating the result files. (ExpressionsSchemaSuite.scala:161)
>
>  Function 'bloom_filter_agg', Expression class
> 'org.apache.spark.sql.catalyst.expressions.aggregate.BloomFilterAggregate'
> "" did not start with "
>       Examples:
>   " (ExpressionInfoSuite.scala:142)
>
> On Thu, May 5, 2022 at 6:01 AM Maxim Gekk
> <maxim.g...@databricks.com.invalid> 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 10th 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-rc1 (commit
>> 482b7d54b522c4d1e25f3e84eabbc78126f22a3d):
>> https://github.com/apache/spark/tree/v3.3.0-rc1
>>
>> The release files, including signatures, digests, etc. can be found at:
>> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-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-1402
>>
>> The documentation corresponding to this release can be found at:
>> https://dist.apache.org/repos/dist/dev/spark/v3.3.0-rc1-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-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 3.3.0?
>> ===========================================
>> 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.
>>
>

-- 
Adam Binford

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