+1 (non-binding) Built and tested on macOS and Ubuntu.
On Sun, Feb 18, 2018 at 3:19 PM Ricardo Almeida < ricardo.alme...@actnowib.com> wrote: > +1 (non-binding) > > Built and tested on macOS 10.12.6 Java 8 (build 1.8.0_111). No > regressions detected so far. > > > On 18 February 2018 at 16:12, Sean Owen <sro...@apache.org> wrote: > >> +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). >>> >> >