+1, excited for 2.0! On Wed, May 18, 2016 at 10:06 AM, Krishna Sankar <ksanka...@gmail.com> wrote:
> +1. Looks Good. > The mllib results are in line with 1.6.1. Deprecation messages. I will > convert to ml and test later in the day. > Also will try GraphX exercises for our Strata London Tutorial > > Quick Notes: > > 1. pyspark env variables need to be changed > - IPYTHON and IPYTHON_OPTS are removed > - This works > - PYSPARK_DRIVER_PYTHON=ipython > PYSPARK_DRIVER_PYTHON_OPTS="notebook" > ~/Downloads/spark-2.0.0-preview/bin/pyspark --packages > com.databricks:spark-csv_2.10:1.4.0 > 2. maven 3.3.9 is required. (I was running 3.3.3) > 3. Tons of interesting warnings and deprecations. > - The messages look descriptive and very helpful (Thanks. This will > help migration to 2.0, mllib -> ml et al). Will dig deeper. > 4. Compiled OSX 10.10 (Yosemite) OK Total time: 31:28 min > mvn clean package -Pyarn -Phadoop-2.6 -DskipTests > - Spark version is 2.0.0-preview > - Tested pyspark, mllib (iPython 4.2.0) > > Cheers & Good work folks > <k/> > > On Wed, May 18, 2016 at 7:28 AM, Sean Owen <so...@cloudera.com> wrote: > >> I think it's a good idea. Although releases have been preceded before >> by release candidates for developers, it would be good to get a formal >> preview/beta release ratified for public consumption ahead of a new >> major release. Better to have a little more testing in the wild to >> identify problems before 2.0.0 is finalized. >> >> +1 to the release. License, sigs, etc check out. On Ubuntu 16 + Java >> 8, compilation and tests succeed for "-Pyarn -Phive >> -Phive-thriftserver -Phadoop-2.6". >> >> On Wed, May 18, 2016 at 6:40 AM, Reynold Xin <r...@apache.org> wrote: >> > Hi, >> > >> > In the past the Apache Spark community have created preview packages >> (not >> > official releases) and used those as opportunities to ask community >> members >> > to test the upcoming versions of Apache Spark. Several people in the >> Apache >> > community have suggested we conduct votes for these preview packages and >> > turn them into formal releases by the Apache foundation's standard. >> Preview >> > releases are not meant to be functional, i.e. they can and highly likely >> > will contain critical bugs or documentation errors, but we will be able >> to >> > post them to the project's website to get wider feedback. They should >> > satisfy the legal requirements of Apache's release policy >> > (http://www.apache.org/dev/release.html) such as having proper >> licenses. >> > >> > >> > Please vote on releasing the following candidate as Apache Spark version >> > 2.0.0-preview. The vote is open until Friday, May 20, 2015 at 11:00 PM >> PDT >> > and passes if a majority of at least 3 +1 PMC votes are cast. >> > >> > [ ] +1 Release this package as Apache Spark 2.0.0-preview >> > [ ] -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 2.0.0-preview >> > (8f5a04b6299e3a47aca13cbb40e72344c0114860) >> > >> > The release files, including signatures, digests, etc. can be found at: >> > >> http://home.apache.org/~pwendell/spark-releases/spark-2.0.0-preview-bin/ >> > >> > Release artifacts are signed with the following key: >> > https://people.apache.org/keys/committer/pwendell.asc >> > >> > The documentation corresponding to this release can be found at: >> > >> http://home.apache.org/~pwendell/spark-releases/spark-2.0.0-preview-docs/ >> > >> > The list of resolved issues are: >> > >> https://issues.apache.org/jira/browse/SPARK-15351?jql=project%20%3D%20SPARK%20AND%20fixVersion%20%3D%202.0.0 >> > >> > >> > If you are a Spark user, you can help us test this release by taking an >> > existing Apache Spark workload and running on this candidate, then >> reporting >> > any regressions. >> > >> >> --------------------------------------------------------------------- >> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >> For additional commands, e-mail: dev-h...@spark.apache.org >> >> >