spark-dev mailing list archives

Site index · List index
Message view « Date » · « Thread »
Top « Date » · « Thread »
From Michael Armbrust <mich...@databricks.com>
Subject Re: [VOTE] Apache Spark 2.2.0 (RC2)
Date Tue, 30 May 2017 19:09:18 GMT
Last call, anything else important in-flight for 2.2?

On Thu, May 25, 2017 at 10:56 AM, Michael Allman <michael@videoamp.com>
wrote:

> PR is here: https://github.com/apache/spark/pull/18112
>
>
> On May 25, 2017, at 10:28 AM, Michael Allman <michael@videoamp.com> wrote:
>
> Michael,
>
> If you haven't started cutting the new RC, I'm working on a documentation
> PR right now I'm hoping we can get into Spark 2.2 as a migration note, even
> if it's just a mention: https://issues.apache.org/jira/browse/SPARK-20888.
>
> Michael
>
>
> On May 22, 2017, at 11:39 AM, Michael Armbrust <michael@databricks.com>
> wrote:
>
> I'm waiting for SPARK-20814
> <https://issues.apache.org/jira/browse/SPARK-20814> at Marcelo's
> request and I'd also like to include SPARK-20844
> <https://issues.apache.org/jira/browse/SPARK-20844>.  I think we should
> be able to cut another RC midweek.
>
> On Fri, May 19, 2017 at 11:53 AM, Nick Pentreath <nick.pentreath@gmail.com
> > wrote:
>
>> All the outstanding ML QA doc and user guide items are done for 2.2 so
>> from that side we should be good to cut another RC :)
>>
>>
>> On Thu, 18 May 2017 at 00:18 Russell Spitzer <russell.spitzer@gmail.com>
>> wrote:
>>
>>> Seeing an issue with the DataScanExec and some of our integration tests
>>> for the SCC. Running dataframe read and writes from the shell seems fine
>>> but the Redaction code seems to get a "None" when doing
>>> SparkSession.getActiveSession.get in our integration tests. I'm not
>>> sure why but i'll dig into this later if I get a chance.
>>>
>>> Example Failed Test
>>> https://github.com/datastax/spark-cassandra-connector/blob/
>>> v2.0.1/spark-cassandra-connector/src/it/scala/com/datastax/
>>> spark/connector/sql/CassandraSQLSpec.scala#L311
>>>
>>> ```[info]   org.apache.spark.SparkException: Job aborted due to stage
>>> failure: Task serialization failed: java.util.NoSuchElementException:
>>> None.get
>>> [info] java.util.NoSuchElementException: None.get
>>> [info] at scala.None$.get(Option.scala:347)
>>> [info] at scala.None$.get(Option.scala:345)
>>> [info] at org.apache.spark.sql.execution.DataSourceScanExec$class.org$
>>> apache$spark$sql$execution$DataSourceScanExec$$redact(
>>> DataSourceScanExec.scala:70)
>>> [info] at org.apache.spark.sql.execution.DataSourceScanExec$$anonfun$
>>> 4.apply(DataSourceScanExec.scala:54)
>>> [info] at org.apache.spark.sql.execution.DataSourceScanExec$$anonfun$
>>> 4.apply(DataSourceScanExec.scala:52)
>>> ```
>>>
>>> Again this only seems to repo in our IT suite so i'm not sure if this is
>>> a real issue.
>>>
>>>
>>> On Tue, May 16, 2017 at 1:40 PM Joseph Bradley <joseph@databricks.com>
>>> wrote:
>>>
>>>> All of the ML/Graph/SparkR QA blocker JIRAs have been resolved.  Thanks
>>>> everyone who helped out on those!
>>>>
>>>> We still have open ML/Graph/SparkR JIRAs targeted at 2.2, but they are
>>>> essentially all for documentation.
>>>>
>>>> Joseph
>>>>
>>>> On Thu, May 11, 2017 at 3:08 PM, Marcelo Vanzin <vanzin@cloudera.com>
>>>> wrote:
>>>>
>>>>> Since you'll be creating a new RC, I'd wait until SPARK-20666 is
>>>>> fixed, since the change that caused it is in branch-2.2. Probably a
>>>>> good idea to raise it to blocker at this point.
>>>>>
>>>>> On Thu, May 11, 2017 at 2:59 PM, Michael Armbrust
>>>>> <michael@databricks.com> wrote:
>>>>> > I'm going to -1 given the outstanding issues and lack of +1s.  I'll
>>>>> create
>>>>> > another RC once ML has had time to take care of the more critical
>>>>> problems.
>>>>> > In the meantime please keep testing this release!
>>>>> >
>>>>> > On Tue, May 9, 2017 at 2:00 AM, Kazuaki Ishizaki <
>>>>> ISHIZAKI@jp.ibm.com>
>>>>> > wrote:
>>>>> >>
>>>>> >> +1 (non-binding)
>>>>> >>
>>>>> >> I tested it on Ubuntu 16.04 and OpenJDK8 on ppc64le. All of
the
>>>>> tests for
>>>>> >> core have passed.
>>>>> >>
>>>>> >> $ java -version
>>>>> >> openjdk version "1.8.0_111"
>>>>> >> OpenJDK Runtime Environment (build
>>>>> >> 1.8.0_111-8u111-b14-2ubuntu0.16.04.2-b14)
>>>>> >> OpenJDK 64-Bit Server VM (build 25.111-b14, mixed mode)
>>>>> >> $ build/mvn -DskipTests -Phive -Phive-thriftserver -Pyarn
>>>>> -Phadoop-2.7
>>>>> >> package install
>>>>> >> $ build/mvn -Phive -Phive-thriftserver -Pyarn -Phadoop-2.7 test
-pl
>>>>> core
>>>>> >> ...
>>>>> >> Run completed in 15 minutes, 12 seconds.
>>>>> >> Total number of tests run: 1940
>>>>> >> Suites: completed 206, aborted 0
>>>>> >> Tests: succeeded 1940, failed 0, canceled 4, ignored 8, pending
0
>>>>> >> All tests passed.
>>>>> >> [INFO]
>>>>> >> ------------------------------------------------------------
>>>>> ------------
>>>>> >> [INFO] BUILD SUCCESS
>>>>> >> [INFO]
>>>>> >> ------------------------------------------------------------
>>>>> ------------
>>>>> >> [INFO] Total time: 16:51 min
>>>>> >> [INFO] Finished at: 2017-05-09T17:51:04+09:00
>>>>> >> [INFO] Final Memory: 53M/514M
>>>>> >> [INFO]
>>>>> >> ------------------------------------------------------------
>>>>> ------------
>>>>> >> [WARNING] The requested profile "hive" could not be activated
>>>>> because it
>>>>> >> does not exist.
>>>>> >>
>>>>> >>
>>>>> >> Kazuaki Ishizaki,
>>>>> >>
>>>>> >>
>>>>> >>
>>>>> >> From:        Michael Armbrust <michael@databricks.com>
>>>>> >> To:        "dev@spark.apache.org" <dev@spark.apache.org>
>>>>> >> Date:        2017/05/05 02:08
>>>>> >> Subject:        [VOTE] Apache Spark 2.2.0 (RC2)
>>>>> >> ________________________________
>>>>> >>
>>>>> >>
>>>>> >>
>>>>> >> Please vote on releasing the following candidate as Apache Spark
>>>>> version
>>>>> >> 2.2.0. The vote is open until Tues, May 9th, 2017 at 12:00 PST
and
>>>>> passes if
>>>>> >> a majority of at least 3 +1 PMC votes are cast.
>>>>> >>
>>>>> >> [ ] +1 Release this package as Apache Spark 2.2.0
>>>>> >> [ ] -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 v2.2.0-rc2
>>>>> >> (1d4017b44d5e6ad156abeaae6371747f111dd1f9)
>>>>> >>
>>>>> >> List of JIRA tickets resolved can be found with this filter.
>>>>> >>
>>>>> >> The release files, including signatures, digests, etc. can be
found
>>>>> at:
>>>>> >> http://home.apache.org/~pwendell/spark-releases/spark-2.2.0-
>>>>> rc2-bin/
>>>>> >>
>>>>> >> Release artifacts are signed with the following key:
>>>>> >> https://people.apache.org/keys/committer/pwendell.asc
>>>>> >>
>>>>> >> The staging repository for this release can be found at:
>>>>> >> https://repository.apache.org/content/repositories/orgapache
>>>>> spark-1236/
>>>>> >>
>>>>> >> The documentation corresponding to this release can be found
at:
>>>>> >> http://people.apache.org/~pwendell/spark-releases/spark-2.2.
>>>>> 0-rc2-docs/
>>>>> >>
>>>>> >>
>>>>> >> 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.
>>>>> >>
>>>>> >> What should happen to JIRA tickets still targeting 2.2.0?
>>>>> >>
>>>>> >> 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 2.3.0 or 2.2.1.
>>>>> >>
>>>>> >> 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 2.1.1.
>>>>> >>
>>>>> >
>>>>>
>>>>>
>>>>>
>>>>> --
>>>>> Marcelo
>>>>>
>>>>> ---------------------------------------------------------------------
>>>>> To unsubscribe e-mail: dev-unsubscribe@spark.apache.org
>>>>>
>>>>>
>>>>
>>>>
>>>> --
>>>> Joseph Bradley
>>>> Software Engineer - Machine Learning
>>>> Databricks, Inc.
>>>> [image: http://databricks.com] <http://databricks.com/>
>>>>
>>>
>
>
>

Mime
View raw message