+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 >>>> >>>> >>>> >>> >>> >>
