+1 - Ported all our internal jobs to run on 1.6.1 with no regressions. On Wed, Mar 9, 2016 at 7:04 AM, Kousuke Saruta <saru...@oss.nttdata.co.jp> wrote:
> +1 (non-binding) > > > On 2016/03/09 4:28, Burak Yavuz wrote: > > +1 > > On Tue, Mar 8, 2016 at 10:59 AM, Andrew Or <and...@databricks.com> wrote: > >> +1 >> >> 2016-03-08 10:59 GMT-08:00 Yin Huai < <yh...@databricks.com> >> yh...@databricks.com>: >> >>> +1 >>> >>> On Mon, Mar 7, 2016 at 12:39 PM, Reynold Xin < <r...@databricks.com> >>> r...@databricks.com> wrote: >>> >>>> +1 (binding) >>>> >>>> >>>> On Sun, Mar 6, 2016 at 12:08 PM, Egor Pahomov < >>>> <pahomov.e...@gmail.com>pahomov.e...@gmail.com> wrote: >>>> >>>>> +1 >>>>> >>>>> Spark ODBC server is fine, SQL is fine. >>>>> >>>>> 2016-03-03 12:09 GMT-08:00 Yin Yang < <yy201...@gmail.com> >>>>> yy201...@gmail.com>: >>>>> >>>>>> Skipping docker tests, the rest are green: >>>>>> >>>>>> [INFO] Spark Project External Kafka ....................... SUCCESS >>>>>> [01:28 min] >>>>>> [INFO] Spark Project Examples ............................. SUCCESS >>>>>> [02:59 min] >>>>>> [INFO] Spark Project External Kafka Assembly .............. SUCCESS [ >>>>>> 11.680 s] >>>>>> [INFO] >>>>>> ------------------------------------------------------------------------ >>>>>> [INFO] BUILD SUCCESS >>>>>> [INFO] >>>>>> ------------------------------------------------------------------------ >>>>>> [INFO] Total time: 02:16 h >>>>>> [INFO] Finished at: 2016-03-03T11:17:07-08:00 >>>>>> [INFO] Final Memory: 152M/4062M >>>>>> >>>>>> On Thu, Mar 3, 2016 at 8:55 AM, Yin Yang < <yy201...@gmail.com> >>>>>> yy201...@gmail.com> wrote: >>>>>> >>>>>>> When I ran test suite using the following command: >>>>>>> >>>>>>> build/mvn clean -Phive -Phive-thriftserver -Pyarn -Phadoop-2.6 >>>>>>> -Dhadoop.version=2.7.0 package >>>>>>> >>>>>>> I got failure in Spark Project Docker Integration Tests : >>>>>>> >>>>>>> 16/03/02 17:36:46 INFO RemoteActorRefProvider$RemotingTerminator: >>>>>>> Remote daemon shut down; proceeding with flushing remote transports. >>>>>>> ^[[31m*** RUN ABORTED ***^[[0m >>>>>>> ^[[31m com.spotify.docker.client.DockerException: >>>>>>> java.util.concurrent.ExecutionException: >>>>>>> com.spotify.docker.client.shaded.javax.ws.rs.ProcessingException: >>>>>>> java.io. IOException: No such file or directory^[[0m >>>>>>> ^[[31m at >>>>>>> com.spotify.docker.client.DefaultDockerClient.propagate(DefaultDockerClient.java:1141)^[[0m >>>>>>> ^[[31m at >>>>>>> com.spotify.docker.client.DefaultDockerClient.request(DefaultDockerClient.java:1082)^[[0m >>>>>>> ^[[31m at >>>>>>> com.spotify.docker.client.DefaultDockerClient.ping(DefaultDockerClient.java:281)^[[0m >>>>>>> ^[[31m at >>>>>>> org.apache.spark.sql.jdbc.DockerJDBCIntegrationSuite.beforeAll(DockerJDBCIntegrationSuite.scala:76)^[[0m >>>>>>> ^[[31m at >>>>>>> org.scalatest.BeforeAndAfterAll$class.beforeAll(BeforeAndAfterAll.scala:187)^[[0m >>>>>>> ^[[31m at >>>>>>> org.apache.spark.sql.jdbc.DockerJDBCIntegrationSuite.beforeAll(DockerJDBCIntegrationSuite.scala:58)^[[0m >>>>>>> ^[[31m at >>>>>>> org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:253)^[[0m >>>>>>> ^[[31m at >>>>>>> org.apache.spark.sql.jdbc.DockerJDBCIntegrationSuite.run(DockerJDBCIntegrationSuite.scala:58)^[[0m >>>>>>> ^[[31m at >>>>>>> org.scalatest.Suite$class.callExecuteOnSuite$1(Suite.scala:1492)^[[0m >>>>>>> ^[[31m at >>>>>>> org.scalatest.Suite$$anonfun$runNestedSuites$1.apply(Suite.scala:1528)^[[0m >>>>>>> ^[[31m ...^[[0m >>>>>>> ^[[31m Cause: java.util.concurrent.ExecutionException: >>>>>>> com.spotify.docker.client.shaded.javax.ws.rs.ProcessingException: >>>>>>> java.io.IOException: No such file or directory^[[0m >>>>>>> ^[[31m at >>>>>>> jersey.repackaged.com.google.common.util.concurrent.AbstractFuture$Sync.getValue(AbstractFuture.java:299)^[[0m >>>>>>> ^[[31m at >>>>>>> jersey.repackaged.com.google.common.util.concurrent.AbstractFuture$Sync.get(AbstractFuture.java:286)^[[0m >>>>>>> ^[[31m at >>>>>>> jersey.repackaged.com.google.common.util.concurrent.AbstractFuture.get(AbstractFuture.java:116)^[[0m >>>>>>> ^[[31m at >>>>>>> com.spotify.docker.client.DefaultDockerClient.request(DefaultDockerClient.java:1080)^[[0m >>>>>>> ^[[31m at >>>>>>> com.spotify.docker.client.DefaultDockerClient.ping(DefaultDockerClient.java:281)^[[0m >>>>>>> ^[[31m at >>>>>>> org.apache.spark.sql.jdbc.DockerJDBCIntegrationSuite.beforeAll(DockerJDBCIntegrationSuite.scala:76)^[[0m >>>>>>> ^[[31m at >>>>>>> org.scalatest.BeforeAndAfterAll$class.beforeAll(BeforeAndAfterAll.scala:187)^[[0m >>>>>>> ^[[31m at >>>>>>> org.apache.spark.sql.jdbc.DockerJDBCIntegrationSuite.beforeAll(DockerJDBCIntegrationSuite.scala:58)^[[0m >>>>>>> ^[[31m at >>>>>>> org.scalatest.BeforeAndAfterAll$class.run(BeforeAndAfterAll.scala:253)^[[0m >>>>>>> ^[[31m at >>>>>>> org.apache.spark.sql.jdbc.DockerJDBCIntegrationSuite.run(DockerJDBCIntegrationSuite.scala:58)^[[0m >>>>>>> ^[[31m ...^[[0m >>>>>>> ^[[31m Cause: >>>>>>> com.spotify.docker.client.shaded.javax.ws.rs.ProcessingException: >>>>>>> java.io.IOException: No such file or directory^[[0m >>>>>>> ^[[31m at >>>>>>> org.glassfish.jersey.apache.connector.ApacheConnector.apply(ApacheConnector.java:481)^[[0m >>>>>>> ^[[31m at >>>>>>> org.glassfish.jersey.apache.connector.ApacheConnector$1.run(ApacheConnector.java:491)^[[0m >>>>>>> ^[[31m at >>>>>>> java.util.concurrent.Executors$RunnableAdapter.call(Executors.java:471)^[[0m >>>>>>> ^[[31m at >>>>>>> java.util.concurrent.FutureTask.run(FutureTask.java:262)^[[0m >>>>>>> ^[[31m at >>>>>>> jersey.repackaged.com.google.common.util.concurrent.MoreExecutors$DirectExecutorService.execute(MoreExecutors.java:299)^[[0m >>>>>>> ^[[31m at >>>>>>> java.util.concurrent.AbstractExecutorService.submit(AbstractExecutorService.java:110)^[[0m >>>>>>> ^[[31m at >>>>>>> jersey.repackaged.com.google.common.util.concurrent.AbstractListeningExecutorService.submit(AbstractListeningExecutorService.java:50)^[[0m >>>>>>> ^[[31m at >>>>>>> jersey.repackaged.com.google.common.util.concurrent.AbstractListeningExecutorService.submit(AbstractListeningExecutorService.java:37)^[[0m >>>>>>> ^[[31m at >>>>>>> org.glassfish.jersey.apache.connector.ApacheConnector.apply(ApacheConnector.java:487)^[[0m >>>>>>> ^[[31m at >>>>>>> org.glassfish.jersey.client.ClientRuntime$2.run(ClientRuntime.java:177)^[[0m >>>>>>> ^[[31m ...^[[0m >>>>>>> ^[[31m Cause: java.io.IOException: No such file or directory^[[0m >>>>>>> ^[[31m at >>>>>>> jnr.unixsocket.UnixSocketChannel.doConnect(UnixSocketChannel.java:94)^[[0m >>>>>>> >>>>>>> Has anyone seen the above ? >>>>>>> >>>>>>> On Wed, Mar 2, 2016 at 2:45 PM, Michael Armbrust < >>>>>>> <mich...@databricks.com>mich...@databricks.com> wrote: >>>>>>> >>>>>>>> Please vote on releasing the following candidate as Apache Spark >>>>>>>> version 1.6.1! >>>>>>>> >>>>>>>> The vote is open until Saturday, March 5, 2016 at 20:00 UTC and >>>>>>>> passes if a majority of at least 3+1 PMC votes are cast. >>>>>>>> >>>>>>>> [ ] +1 Release this package as Apache Spark 1.6.1 >>>>>>>> [ ] -1 Do not release this package because ... >>>>>>>> >>>>>>>> To learn more about Apache Spark, please see >>>>>>>> <http://spark.apache.org/>http://spark.apache.org/ >>>>>>>> >>>>>>>> The tag to be voted on is *v1.6.1-rc1 >>>>>>>> (15de51c238a7340fa81cb0b80d029a05d97bfc5c) >>>>>>>> <https://github.com/apache/spark/tree/v1.6.1-rc1>* >>>>>>>> >>>>>>>> The release files, including signatures, digests, etc. can be found >>>>>>>> at: >>>>>>>> >>>>>>>> <https://home.apache.org/%7Epwendell/spark-releases/spark-1.6.1-rc1-bin/> >>>>>>>> https://home.apache.org/~pwendell/spark-releases/spark-1.6.1-rc1-bin/ >>>>>>>> >>>>>>>> Release artifacts are signed with the following key: >>>>>>>> <https://people.apache.org/keys/committer/pwendell.asc> >>>>>>>> https://people.apache.org/keys/committer/pwendell.asc >>>>>>>> >>>>>>>> The staging repository for this release can be found at: >>>>>>>> >>>>>>>> <https://repository.apache.org/content/repositories/orgapachespark-1180/> >>>>>>>> https://repository.apache.org/content/repositories/orgapachespark-1180/ >>>>>>>> >>>>>>>> The test repository (versioned as v1.6.1-rc1) for this release can >>>>>>>> be found at: >>>>>>>> >>>>>>>> <https://repository.apache.org/content/repositories/orgapachespark-1179/> >>>>>>>> https://repository.apache.org/content/repositories/orgapachespark-1179/ >>>>>>>> >>>>>>>> The documentation corresponding to this release can be found at: >>>>>>>> >>>>>>>> <https://home.apache.org/%7Epwendell/spark-releases/spark-1.6.1-rc1-docs/> >>>>>>>> https://home.apache.org/~pwendell/spark-releases/spark-1.6.1-rc1-docs/ >>>>>>>> >>>>>>>> >>>>>>>> ======================================= >>>>>>>> == 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 from 1.6.0. >>>>>>>> >>>>>>>> ================================================ >>>>>>>> == What justifies a -1 vote for this release? == >>>>>>>> ================================================ >>>>>>>> This is a maintenance release in the 1.6.x series. Bugs already >>>>>>>> present in 1.6.0, missing features, or bugs related to new features >>>>>>>> will >>>>>>>> not necessarily block this release. >>>>>>>> >>>>>>>> =============================================================== >>>>>>>> == What should happen to JIRA tickets still targeting 1.6.0? == >>>>>>>> =============================================================== >>>>>>>> 1. It is OK for documentation patches to target 1.6.1 and still go >>>>>>>> into branch-1.6, since documentations will be published separately >>>>>>>> from the >>>>>>>> release. >>>>>>>> 2. New features for non-alpha-modules should target 1.7+. >>>>>>>> 3. Non-blocker bug fixes should target 1.6.2 or 2.0.0, or drop the >>>>>>>> target version. >>>>>>>> >>>>>>> >>>>>>> >>>>>> >>>>> >>>>> >>>>> -- >>>>> >>>>> >>>>> *Sincerely yours Egor Pakhomov * >>>>> >>>> >>>> >>> >> > >
