+1 from me ass well. On Tue, Apr 7, 2015 at 4:36 AM, Sean Owen <so...@cloudera.com> wrote: > I think that's close enough for a +1: > > Signatures and hashes are good. > LICENSE, NOTICE still check out. > Compiles for a Hadoop 2.6 + YARN + Hive profile. > > JIRAs with target version = 1.2.x look legitimate; no blockers. > > I still observe several Hive test failures with: > mvn -Phadoop-2.4 -Pyarn -Phive -Phive-0.13.1 -Dhadoop.version=2.6.0 > -DskipTests clean package; mvn -Phadoop-2.4 -Pyarn -Phive > -Phive-0.13.1 -Dhadoop.version=2.6.0 test > .. though again I think these are not regressions but known issues in > older branches. > > FYI there are 16 Critical issues still open for 1.2.x: > > SPARK-6209,ExecutorClassLoader can leak connections after failing to > load classes from the REPL class server,Josh Rosen,In Progress,4/5/15 > SPARK-5098,Number of running tasks become negative after tasks > lost,,Open,1/14/15 > SPARK-4888,"Spark EC2 doesn't mount local disks for i2.8xlarge > instances",,Open,1/27/15 > SPARK-4879,Missing output partitions after job completes with > speculative execution,Josh Rosen,Open,3/5/15 > SPARK-4568,Publish release candidates under $VERSION-RCX instead of > $VERSION,Patrick Wendell,Open,11/24/14 > SPARK-4520,SparkSQL exception when reading certain columns from a > parquet file,sadhan sood,Open,1/21/15 > SPARK-4514,SparkContext localProperties does not inherit property > updates across thread reuse,Josh Rosen,Open,3/31/15 > SPARK-4454,Race condition in DAGScheduler,Josh Rosen,Reopened,2/18/15 > SPARK-4452,Shuffle data structures can starve others on the same > thread for memory,Tianshuo Deng,Open,1/24/15 > SPARK-4356,Test Scala 2.11 on Jenkins,Patrick Wendell,Open,11/12/14 > SPARK-4258,NPE with new Parquet Filters,Cheng Lian,Reopened,4/3/15 > SPARK-4194,Exceptions thrown during SparkContext or SparkEnv > construction might lead to resource leaks or corrupted global > state,,In Progress,4/2/15 > SPARK-4159,"Maven build doesn't run JUnit test suites",Sean Owen,Open,1/11/15 > SPARK-4106,Shuffle write and spill to disk metrics are > incorrect,,Open,10/28/14 > SPARK-3492,Clean up Yarn integration code,Andrew Or,Open,9/12/14 > SPARK-3461,Support external groupByKey using > repartitionAndSortWithinPartitions,Sandy Ryza,Open,11/10/14 > SPARK-2984,FileNotFoundException on _temporary directory,,Open,12/11/14 > SPARK-2532,Fix issues with consolidated shuffle,,Open,3/26/15 > SPARK-1312,Batch should read based on the batch interval provided in > the StreamingContext,Tathagata Das,Open,12/24/14 > > On Sun, Apr 5, 2015 at 7:24 PM, Patrick Wendell <pwend...@gmail.com> wrote: >> Please vote on releasing the following candidate as Apache Spark version >> 1.2.2! >> >> The tag to be voted on is v1.2.2-rc1 (commit 7531b50): >> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=7531b50e406ee2e3301b009ceea7c684272b2e27 >> >> The list of fixes present in this release can be found at: >> http://bit.ly/1DCNddt >> >> The release files, including signatures, digests, etc. can be found at: >> http://people.apache.org/~pwendell/spark-1.2.2-rc1/ >> >> 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/orgapachespark-1082/ >> >> The documentation corresponding to this release can be found at: >> http://people.apache.org/~pwendell/spark-1.2.2-rc1-docs/ >> >> Please vote on releasing this package as Apache Spark 1.2.2! >> >> The vote is open until Thursday, April 08, at 00:30 UTC and passes >> if a majority of at least 3 +1 PMC votes are cast. >> >> [ ] +1 Release this package as Apache Spark 1.2.2 >> [ ] -1 Do not release this package because ... >> >> To learn more about Apache Spark, please see >> http://spark.apache.org/ >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >> For additional commands, e-mail: dev-h...@spark.apache.org >>
--------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org