[VOTE] Release Apache Spark 1.5.2 (RC1)

Please vote on releasing the following candidate as Apache Spark version 1.5.2. The vote is open until Wed Oct 28, 2015 at 08:00 UTC and passes if a majority of at least 3 +1 PMC votes are cast. [ ] +1 Release this package as Apache Spark 1.5.2 [ ] -1 Do not release this package because ... The

Duplicate (?) code paths to handle Executor failures

Hi all, I noticed that when the JVM for an executor fails, in Standalone mode, we have two duplicate code paths that handle the failure, one via Akka, and the second via the Worker/ExecutorRunner: via Akka: (1) CoarseGrainedSchedulerBackend is notified that the remote Akka endpoint is

Re: [VOTE] Release Apache Spark 1.5.2 (RC1)

The signatures and licenses are fine. I continue to get failures in these tests though, with "-Pyarn -Phadoop-2.6 -Phive -Phive-thriftserver" on Ubuntu 15 / Java 7. - Unpersisting HttpBroadcast on executors and driver in distributed mode *** FAILED *** java.util.concurrent.TimeoutException:

Re: [VOTE] Release Apache Spark 1.5.2 (RC1)

Should 1.5.2 wait for Josh's fix of SPARK-11293? On Sun, Oct 25, 2015 at 2:25 PM, Sean Owen wrote: > The signatures and licenses are fine. I continue to get failures in > these tests though, with "-Pyarn -Phadoop-2.6 -Phive > -Phive-thriftserver" on Ubuntu 15 / Java 7. > > -

Re: Unable to run applications on spark in standalone cluster mode

No.. the ./sbin/start-master.sh --ip option did not work... It is still the same error -- View this message in context: http://apache-spark-developers-list.1001551.n3.nabble.com/Unable-to-run-applications-on-spark-in-standalone-cluster-mode-tp14683p14779.html Sent from the Apache Spark

spark-sql / apache-drill / jboss-tiied

Hi, In terms of federated query, has anyone done any evaluation between spark-sql and drill and jboss-tiied. I have a very urgent requirement for creating a virtualized layer (sitting atop several databases) and am evaluating these 3 as an option.. Any help would be appreciated. I know Spark-SQL

Adding support for truncate operator

Hi! I noticed that SparkSQL does not support truncate operator as of now. Can we add it? I am willing to send over a PR for it

Re: Adding support for truncate operator

My bad. I did not specify that I meant truncate operator on a column similar to how other maths operators work. On Sun, Oct 25, 2015 at 9:36 PM, Ted Yu wrote: > Have you seen the following ? > [SPARK-3907][SQL] Add truncate table support > > Cheers > > On Sun, Oct 25, 2015

Re: [VOTE] Release Apache Spark 1.5.2 (RC1)

I believe you still need to "clean package" and then "test" separately. Or did the change to make that unnecessary go in to 1.5? FWIW I do not see this (my results coming soon) On Sun, Oct 25, 2015 at 4:28 PM, Ted Yu wrote: > When I ran the following command: >