I'm going to start this with a +1!
On Thu, Dec 15, 2016 at 9:42 PM, Shivaram Venkataraman < shiva...@eecs.berkeley.edu> wrote: > In addition to usual binary artifacts, this is the first release where > we have installable packages for Python [1] and R [2] that are part of > the release. I'm including instructions to test the R package below. > Holden / other Python developers can chime in if there are special > instructions to test the pip package. > > To test the R source package you can follow the following commands. > 1. Download the SparkR source package from > http://people.apache.org/~pwendell/spark-releases/spark- > 2.1.0-rc5-bin/SparkR_2.1.0.tar.gz > 2. Install the source package with R CMD INSTALL SparkR_2.1.0.tar.gz > 3. As the SparkR package doesn't contain Spark JARs (this is due to > package size limits from CRAN), we'll need to run [3] > export SPARKR_RELEASE_DOWNLOAD_URL="http://people.apache.org/~ > pwendell/spark-releases/spark-2.1.0-rc5-bin/spark-2.1.0-bin-hadoop2.6.tgz" > 4. Launch R. You can now use include SparkR with `library(SparkR)` and > test it with your applications. > 5. Note that the first time a SparkSession is created the binary > artifacts will the downloaded. > > Thanks > Shivaram > > [1] https://issues.apache.org/jira/browse/SPARK-18267 > [2] https://issues.apache.org/jira/browse/SPARK-18590 > [3] Note that this isn't required once 2.1.0 has been released as > SparkR can automatically resolve and download releases. > > On Thu, Dec 15, 2016 at 9:16 PM, Reynold Xin <r...@databricks.com> wrote: > > Please vote on releasing the following candidate as Apache Spark version > > 2.1.0. The vote is open until Sun, December 18, 2016 at 21:30 PT and > passes > > if a majority of at least 3 +1 PMC votes are cast. > > > > [ ] +1 Release this package as Apache Spark 2.1.0 > > [ ] -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 v2.1.0-rc5 > > (cd0a08361e2526519e7c131c42116bf56fa62c76) > > > > List of JIRA tickets resolved are: > > https://issues.apache.org/jira/issues/?jql=project%20% > 3D%20SPARK%20AND%20fixVersion%20%3D%202.1.0 > > > > The release files, including signatures, digests, etc. can be found at: > > http://home.apache.org/~pwendell/spark-releases/spark-2.1.0-rc5-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/orgapachespark-1223/ > > > > The documentation corresponding to this release can be found at: > > http://people.apache.org/~pwendell/spark-releases/spark-2.1.0-rc5-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 2.1.0? > > > > 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 2.1.1 or 2.2.0. > > > > What happened to RC3/RC5? > > > > They had issues withe release packaging and as a result were skipped. > > >
