Punya, Let me see if I can publish these under rc1 as well. In the future this will all be automated but current it's a somewhat manual task.
- Patrick On Tue, May 19, 2015 at 9:32 AM, Punyashloka Biswal <punya.bis...@gmail.com> wrote: > When publishing future RCs to the staging repository, would it be possible > to use a version number that includes the "rc1" designation? In the current > setup, when I run a build against the artifacts at > https://repository.apache.org/content/repositories/orgapachespark-1092/org/apache/spark/spark-core_2.10/1.4.0/, > my local Maven cache will get polluted with things that claim to be 1.4.0 > but aren't. It would be preferable for the version number to be 1.4.0-rc1 > instead. > > Thanks! > Punya > > > On Tue, May 19, 2015 at 12:20 PM Sean Owen <so...@cloudera.com> wrote: >> >> Before I vote, I wanted to point out there are still 9 Blockers for 1.4.0. >> I'd like to use this status to really mean "must happen before the release". >> Many of these may be already fixed, or aren't really blockers -- can just be >> updated accordingly. >> >> I bet at least one will require further work if it's really meant for 1.4, >> so all this means is there is likely to be another RC. We should still kick >> the tires on RC1. >> >> (I also assume we should be extra conservative about what is merged into >> 1.4 at this point.) >> >> >> SPARK-6784 SQL Clean up all the inbound/outbound conversions for DateType >> Adrian Wang >> >> SPARK-6811 SparkR Building binary R packages for SparkR Shivaram >> Venkataraman >> >> SPARK-6941 SQL Provide a better error message to explain that tables >> created from RDDs are immutable >> SPARK-7158 SQL collect and take return different results >> SPARK-7478 SQL Add a SQLContext.getOrCreate to maintain a singleton >> instance of SQLContext Tathagata Das >> >> SPARK-7616 SQL Overwriting a partitioned parquet table corrupt data Cheng >> Lian >> >> SPARK-7654 SQL DataFrameReader and DataFrameWriter for input/output API >> Reynold Xin >> >> SPARK-7662 SQL Exception of multi-attribute generator anlysis in >> projection >> >> SPARK-7713 SQL Use shared broadcast hadoop conf for partitioned table >> scan. Yin Huai >> >> >> On Tue, May 19, 2015 at 5:10 PM, Patrick Wendell <pwend...@gmail.com> >> wrote: >>> >>> Please vote on releasing the following candidate as Apache Spark version >>> 1.4.0! >>> >>> The tag to be voted on is v1.4.0-rc1 (commit 777a081): >>> >>> https://git-wip-us.apache.org/repos/asf?p=spark.git;a=commit;h=777a08166f1fb144146ba32581d4632c3466541e >>> >>> The release files, including signatures, digests, etc. can be found at: >>> http://people.apache.org/~pwendell/spark-1.4.0-rc1/ >>> >>> Release artifacts are signed with the following key: >>> https://people.apache.org/keys/committer/pwendell.asc >>> >>> The staging repository for this release can be found at: >>> https://repository.apache.org/content/repositories/orgapachespark-1092/ >>> >>> The documentation corresponding to this release can be found at: >>> http://people.apache.org/~pwendell/spark-1.4.0-rc1-docs/ >>> >>> Please vote on releasing this package as Apache Spark 1.4.0! >>> >>> The vote is open until Friday, May 22, at 17:03 UTC and passes >>> if a majority of at least 3 +1 PMC votes are cast. >>> >>> [ ] +1 Release this package as Apache Spark 1.4.0 >>> [ ] -1 Do not release this package because ... >>> >>> To learn more about Apache Spark, please see >>> http://spark.apache.org/ >>> >>> == How can I help test this release? == >>> If you are a Spark user, you can help us test this release by >>> taking a Spark 1.3 workload and running on this release candidate, >>> then reporting any regressions. >>> >>> == What justifies a -1 vote for this release? == >>> This vote is happening towards the end of the 1.4 QA period, >>> so -1 votes should only occur for significant regressions from 1.3.1. >>> Bugs already present in 1.3.X, minor regressions, or bugs related >>> to new features will not block this release. >>> >>> --------------------------------------------------------------------- >>> To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org >>> For additional commands, e-mail: dev-h...@spark.apache.org >>> >> > --------------------------------------------------------------------- To unsubscribe, e-mail: dev-unsubscr...@spark.apache.org For additional commands, e-mail: dev-h...@spark.apache.org
