Yes, I can filter.. Did that and for example: https://issues.apache.org/jira/browse/SPARK-15370?jql=project%20%3D%20SPARK%20AND%20resolution%20%3D%20Unresolved%20AND%20affectedVersion%20%3D%202.0.0 <https://issues.apache.org/jira/browse/SPARK-15370?jql=project%20=%20SPARK%20AND%20resolution%20=%20Unresolved%20AND%20affectedVersion%20=%202.0.0>
To rephrase: for 2.0 do you have specific issues that are not a priority and will released maybe with 2.1 for example? Keep up the good work! > On 18 May 2016, at 18:19, Reynold Xin <r...@databricks.com> wrote: > > You can find that by changing the filter to target version = 2.0.0. Cheers. > > On Wed, May 18, 2016 at 9:00 AM, Ovidiu-Cristian MARCU > <ovidiu-cristian.ma...@inria.fr <mailto:ovidiu-cristian.ma...@inria.fr>> > wrote: > +1 Great, I see the list of resolved issues, do you have a list of known > issue you plan to stay with this release? > > with > build/mvn -Pyarn -Phadoop-2.6 -Dhadoop.version=2.7.1 -Phive > -Phive-thriftserver -DskipTests clean package > > mvn -version > Apache Maven 3.3.9 (bb52d8502b132ec0a5a3f4c09453c07478323dc5; > 2015-11-10T17:41:47+01:00) > Maven home: /Users/omarcu/tools/apache-maven-3.3.9 > Java version: 1.7.0_80, vendor: Oracle Corporation > Java home: /Library/Java/JavaVirtualMachines/jdk1.7.0_80.jdk/Contents/Home/jre > Default locale: en_US, platform encoding: UTF-8 > OS name: "mac os x", version: "10.11.5", arch: "x86_64", family: “mac" > > [INFO] Reactor Summary: > [INFO] > [INFO] Spark Project Parent POM ........................... SUCCESS [ 2.635 > s] > [INFO] Spark Project Tags ................................. SUCCESS [ 1.896 > s] > [INFO] Spark Project Sketch ............................... SUCCESS [ 2.560 > s] > [INFO] Spark Project Networking ........................... SUCCESS [ 6.533 > s] > [INFO] Spark Project Shuffle Streaming Service ............ SUCCESS [ 4.176 > s] > [INFO] Spark Project Unsafe ............................... SUCCESS [ 4.809 > s] > [INFO] Spark Project Launcher ............................. SUCCESS [ 6.242 > s] > [INFO] Spark Project Core ................................. SUCCESS [01:20 > min] > [INFO] Spark Project GraphX ............................... SUCCESS [ 9.148 > s] > [INFO] Spark Project Streaming ............................ SUCCESS [ 22.760 > s] > [INFO] Spark Project Catalyst ............................. SUCCESS [ 50.783 > s] > [INFO] Spark Project SQL .................................. SUCCESS [01:05 > min] > [INFO] Spark Project ML Local Library ..................... SUCCESS [ 4.281 > s] > [INFO] Spark Project ML Library ........................... SUCCESS [ 54.537 > s] > [INFO] Spark Project Tools ................................ SUCCESS [ 0.747 > s] > [INFO] Spark Project Hive ................................. SUCCESS [ 33.032 > s] > [INFO] Spark Project HiveContext Compatibility ............ SUCCESS [ 3.198 > s] > [INFO] Spark Project REPL ................................. SUCCESS [ 3.573 > s] > [INFO] Spark Project YARN Shuffle Service ................. SUCCESS [ 4.617 > s] > [INFO] Spark Project YARN ................................. SUCCESS [ 7.321 > s] > [INFO] Spark Project Hive Thrift Server ................... SUCCESS [ 16.496 > s] > [INFO] Spark Project Assembly ............................. SUCCESS [ 2.300 > s] > [INFO] Spark Project External Flume Sink .................. SUCCESS [ 4.219 > s] > [INFO] Spark Project External Flume ....................... SUCCESS [ 6.987 > s] > [INFO] Spark Project External Flume Assembly .............. SUCCESS [ 1.465 > s] > [INFO] Spark Integration for Kafka 0.8 .................... SUCCESS [ 6.891 > s] > [INFO] Spark Project Examples ............................. SUCCESS [ 13.465 > s] > [INFO] Spark Project External Kafka Assembly .............. SUCCESS [ 2.815 > s] > [INFO] > ------------------------------------------------------------------------ > [INFO] BUILD SUCCESS > [INFO] > ------------------------------------------------------------------------ > [INFO] Total time: 07:04 min > [INFO] Finished at: 2016-05-18T17:55:33+02:00 > [INFO] Final Memory: 90M/824M > [INFO] > ------------------------------------------------------------------------ > >> On 18 May 2016, at 16:28, Sean Owen <so...@cloudera.com >> <mailto: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 >> <mailto: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 >>> <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/ >>> <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/ >>> <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 >>> <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/ >>> <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 >>> >>> <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 >> <mailto:dev-unsubscr...@spark.apache.org> >> For additional commands, e-mail: dev-h...@spark.apache.org >> <mailto:dev-h...@spark.apache.org> >> > >