+1
2016-05-19 18:20 GMT+02:00 Xiangrui Meng <m...@databricks.com>: > +1 > > On Thu, May 19, 2016 at 9:18 AM Joseph Bradley <jos...@databricks.com> > wrote: > >> +1 >> >> On Wed, May 18, 2016 at 10:49 AM, Reynold Xin <r...@databricks.com> >> wrote: >> >>> 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 >>>>> >>>>> >>>>> >>>> >>>> >>>
