+1 from me as last time, same outcome.
I saw one test fail, but passed on a second run, so just seems flaky.
- subscribing topic by name from latest offsets (failOnDataLoss: true) ***
FAILED ***
Error while stopping stream:
query.exception() is not empty after clean stop:
org.apache.spark.sql.streaming.StreamingQueryException: Writing job failed.
=== Streaming Query ===
Identifier: [id = cdd647ec-d7f0-437b-9950-ce9d79d691d1, runId =
3a7cf7ec-670a-48b6-8185-8b6cd7e27f96]
Current Committed Offsets: {KafkaSource[Subscribe[topic-4]]:
{"topic-4":{"2":1,"4":1,"1":0,"3":0,"0":2}}}
Current Available Offsets: {}
Current State: TERMINATED
Thread State: RUNNABLE
On Sat, Feb 17, 2018 at 3:41 PM Sameer Agarwal <samee...@apache.org> wrote:
> Please vote on releasing the following candidate as Apache Spark version
> 2.3.0. The vote is open until Thursday February 22, 2018 at 8:00:00 am UTC
> and passes if a majority of at least 3 PMC +1 votes are cast.
>
>
> [ ] +1 Release this package as Apache Spark 2.3.0
>
> [ ] -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 v2.3.0-rc4:
> https://github.com/apache/spark/tree/v2.3.0-rc4
> (44095cb65500739695b0324c177c19dfa1471472)
>
> List of JIRA tickets resolved in this release can be found here:
> https://issues.apache.org/jira/projects/SPARK/versions/12339551
>
> The release files, including signatures, digests, etc. can be found at:
> https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc4-bin/
>
> Release artifacts are signed with the following key:
> 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-1265/
>
> The documentation corresponding to this release can be found at:
>
> https://dist.apache.org/repos/dist/dev/spark/v2.3.0-rc4-docs/_site/index.html
>
>
> FAQ
>
> =======================================
> What are the unresolved issues targeted for 2.3.0?
> =======================================
>
> Please see https://s.apache.org/oXKi. At the time of writing, there are
> currently no known release blockers.
>
> =========================
> 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 2.3.0?
> ===========================================
>
> 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 2.3.1 or 2.4.0 as
> appropriate.
>
> ===================
> Why is my bug not fixed?
> ===================
>
> In order to make timely releases, we will typically not hold the release
> unless the bug in question is a regression from 2.2.0. That being said, if
> there is something which is a regression from 2.2.0 and has not been
> correctly targeted please ping me or a committer to help target the issue
> (you can see the open issues listed as impacting Spark 2.3.0 at
> https://s.apache.org/WmoI).
>
