Hi Ovidiu-Cristian , The best source of truth is change the filter with target version to 2.1.0. Not a lot of tickets have been targeted yet, but I'd imagine as we get closer to 2.0 release, more will be retargeted at 2.1.0.
On Wed, May 18, 2016 at 10:43 AM, Ovidiu-Cristian MARCU < ovidiu-cristian.ma...@inria.fr> wrote: > 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> 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> 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 >> >> >> > >
