+1 Compiled, ran newly-introduced PySpark Hadoop input/output examples.
On Thu, Sep 4, 2014 at 1:10 PM, Egor Pahomov <pahomov.e...@gmail.com> wrote: > +1 > > Compiled, ran on yarn-hadoop-2.3 simple job. > > > 2014-09-04 22:22 GMT+04:00 Henry Saputra <henry.sapu...@gmail.com>: > > > LICENSE and NOTICE files are good > > Hash files are good > > Signature files are good > > No 3rd parties executables > > Source compiled > > Run local and standalone tests > > Test persist off heap with Tachyon looks good > > > > +1 > > > > - Henry > > > > On Wed, Sep 3, 2014 at 12:24 AM, Patrick Wendell <pwend...@gmail.com> > > wrote: > > > Please vote on releasing the following candidate as Apache Spark > version > > 1.1.0! > > > > > > The tag to be voted on is v1.1.0-rc4 (commit 2f9b2bd): > > > > > > https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=2f9b2bd7844ee8393dc9c319f4fefedf95f5e460 > > > > > > The release files, including signatures, digests, etc. can be found at: > > > http://people.apache.org/~pwendell/spark-1.1.0-rc4/ > > > > > > 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-1031/ > > > > > > The documentation corresponding to this release can be found at: > > > http://people.apache.org/~pwendell/spark-1.1.0-rc4-docs/ > > > > > > Please vote on releasing this package as Apache Spark 1.1.0! > > > > > > The vote is open until Saturday, September 06, at 08:30 UTC and passes > if > > > a majority of at least 3 +1 PMC votes are cast. > > > > > > [ ] +1 Release this package as Apache Spark 1.1.0 > > > [ ] -1 Do not release this package because ... > > > > > > To learn more about Apache Spark, please see > > > http://spark.apache.org/ > > > > > > == Regressions fixed since RC3 == > > > SPARK-3332 - Issue with tagging in EC2 scripts > > > SPARK-3358 - Issue with regression for m3.XX instances > > > > > > == What justifies a -1 vote for this release? == > > > This vote is happening very late into the QA period compared with > > > previous votes, so -1 votes should only occur for significant > > > regressions from 1.0.2. Bugs already present in 1.0.X will not block > > > this release. > > > > > > == What default changes should I be aware of? == > > > 1. The default value of "spark.io.compression.codec" is now "snappy" > > > --> Old behavior can be restored by switching to "lzf" > > > > > > 2. PySpark now performs external spilling during aggregations. > > > --> Old behavior can be restored by setting "spark.shuffle.spill" to > > "false". > > > > > > 3. PySpark uses a new heuristic for determining the parallelism of > > > shuffle operations. > > > --> Old behavior can be restored by setting > > > "spark.default.parallelism" to the number of cores in the cluster. > > > > > > --------------------------------------------------------------------- > > > 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 > > > > > > > -- > > > > *Sincerely yoursEgor PakhomovScala Developer, Yandex* >
