Validated SHAs + tag vs source.zip file.
Run mvn clean install -Prelease OK
Validated that the 3 regressions reported for RC1 were fixed.
Run Nexmark on Direct/Flink runner on local mode, no regressions now.
Installed python version on virtualenv and run local wordcount with success.
Checked that the hadoop-input-format artifact is in the extended staging area.
On Tue, Feb 13, 2018 at 5:41 PM, Jean-Baptiste Onofré <j...@nanthrax.net> wrote:
> +1 (binding)
> Tested the Spark runner (with wordcount example and beam samples)
> Tested the performance of the direct runner
> I just updated the spreadsheet.
> On 02/11/2018 06:33 AM, Jean-Baptiste Onofré wrote:
>> Hi everyone,
>> Please review and vote on the release candidate #3 for the version 2.3.0, as
>> [ ] +1, Approve the release
>> [ ] -1, Do not approve the release (please provide specific comments)
>> The complete staging area is available for your review, which includes:
>> * JIRA release notes ,
>> * the official Apache source release to be deployed to dist.apache.org ,
>> which is signed with the key with fingerprint C8282E76 ,
>> * all artifacts to be deployed to the Maven Central Repository ,
>> * source code tag "v2.3.0-RC3" ,
>> * website pull request listing the release and publishing the API reference
>> manual .
>> * Java artifacts were built with Maven 3.3.9 and Oracle JDK 1.8.0_111.
>> * Python artifacts are deployed along with the source release to the
>> dist.apache.org .
>> The vote will be open for at least 72 hours. It is adopted by majority
>> with at least 3 PMC affirmative votes.
>>  https://dist.apache.org/repos/dist/dev/beam/2.3.0/
>>  https://dist.apache.org/repos/dist/release/beam/KEYS
>>  https://repository.apache.org/content/repositories/orgapachebeam-1028/
>>  https://github.com/apache/beam/tree/v2.3.0-RC3
>>  https://github.com/apache/beam-site/pull/381
> Jean-Baptiste Onofré
> Talend - http://www.talend.com