Thanks for the details Etienne ! The good news is that the artifacts seem OK and the overall Nexmark results are consistent with the 2.4.0 release ones.
I'm starting a complete review using the beam-samples as well. Regards JB On 07/06/2018 16:14, Etienne Chauchot wrote: > Hi, > I've just run the nexmark queries on v2.5.0-RC1 tag > What we can notice: > - query 3 (exercises CoGroupByKey, state and timer) shows different > output with DR between batch and streaming and with the other runners => > I compared with v2.4 there were still these differences but with > different output size numbers > > - query 6 (exercises specialized combiner) shows different output > between the runners => the correct output is 401. strange that in batch > mode some runners output les Sellers. I compared with v2.4 same output > > - response time of query 7 (exercices Max transform, fanout and side > input) is very slow on DR => I compared with v2.4 , comparable execution > times > > I'm not comparing q10 because it is a write to GCS so it is very specific. > > => Basically no regression comparing to v2.4 > > For the record here is the output (waiting for ongoing perfkit integration): > > > 1. DR batch > > Performance: > > Conf Runtime(sec) (Baseline) Events(/sec) (Baseline) Results > (Baseline) > > 0000 5,8 17283,1 100000 > > > 0001 3,2 31104,2 92000 > > > 0002 1,2 82918,7 351 > > > 0003 2,2 46210,7 458 > > > 0004 1,2 8503,4 40 > > > 0005 4,0 25220,7 12 > > > 0006 0,9 11148,3 401 > > > 0007 13,2 7580,9 1 > > > 0008 1,5 67340,1 6000 > > > 0009 0,7 14025,2 298 > > > 0010 12,8 7793,0 1 > > > 0011 2,4 42319,1 1919 > > > 0012 1,6 61462,8 1919 > > ========================================================================================== > > 2. DR streaming > > Performance: > > Conf Runtime(sec) (Baseline) Events(/sec) (Baseline) Results > (Baseline) > > 0000 6,5 15285,8 100000 > > > 0001 3,7 27397,3 92000 > > > 0002 1,4 69108,5 351 > > > 0003 3,2 31181,8 447 > > > 0004 1,2 8361,2 40 > > > 0005 5,3 18903,6 12 > > > 0006 0,9 11111,1 401 > > > 0007 82,5 1212,2 1 > > > 0008 2,0 51072,5 6000 > > > 0009 0,8 12903,2 298 > > > 0010 49,5 2021,8 1 > > > 0011 3,9 25667,4 1919 > > > 0012 2,4 41067,8 1919 > > ========================================================================================== > > 3. Flink batch > Performance: > > Conf Runtime(sec) (Baseline) Events(/sec) (Baseline) Results > (Baseline) > > 0000 1,0 97656,3 100000 > > > 0001 0,7 141643,1 92000 > > > 0002 0,4 228310,5 351 > > > 0003 1,6 64020,5 580 > > > 0004 0,7 13831,3 40 > > > 0005 1,4 72939,5 12 > > > 0006 0,5 20491,8 103 > > > 0007 1,3 74239,0 1 > > > 0008 0,8 121506,7 6000 > > > 0009 0,6 17953,3 298 > > > 0010 1,3 74682,6 1 > > > 0011 1,1 92936,8 1919 > > > 0012 0,8 123001,2 1919 > > ========================================================================================== > > 4. Flink streaming > Performance: > > Conf Runtime(sec) (Baseline) Events(/sec) (Baseline) Results > (Baseline) > > 0000 5,4 18677,6 100000 > > > 0001 2,8 35511,4 92000 > > > 0002 1,8 54318,3 351 > > > 0003 2,4 41614,6 580 > > > 0004 1,0 10341,3 40 > > > 0005 3,4 29568,3 12 > > > 0006 0,7 13369,0 401 > > > 0007 2,8 36192,5 1 > > > 0008 1,8 54854,6 6000 > > > 0009 0,7 13369,0 298 > > > 0010 3,4 29841,8 2 > > > 0011 5,0 19932,2 1919 > > > 0012 2,6 38835,0 1919 > > ========================================================================================== > > 5. Spark batch > Performance: > > Conf Runtime(sec) (Baseline) Events(/sec) (Baseline) Results > (Baseline) > > 0000 1,5 65445,0 100000 > > > 0001 1,3 79491,3 92000 > > > 0002 0,9 112107,6 351 > > > 0003 2,0 48804,3 580 > > > 0004 1,2 8382,2 40 > > > 0005 2,0 50838,8 12 > > > 0006 1,0 9699,3 103 > > > 0007 2,3 43308,8 1 > > > 0008 2,1 46794,6 6000 > > > 0009 1,1 8976,7 298 > > > 0010 1,6 62111,8 1 > > > 0011 2,1 46598,3 1919 > > > 0012 2,3 43687,2 1919 > > ========================================================================================== > > Le mercredi 06 juin 2018 à 10:50 +0200, Etienne Chauchot a écrit : >> Thanks JB for all your work ! I believe doing the first gradle release >> must have been hard. >> I'll run Nexmark on the release and keep you posted. >> >> Best >> Etienne >> >> >> Le mercredi 06 juin 2018 à 10:44 +0200, Jean-Baptiste Onofré a écrit : >>> Hi everyone, >>> >>> Please review and vote on the release candidate #1 for the version >>> 2.5.0, as follows: >>> >>> [ ] +1, Approve the release >>> [ ] -1, Do not approve the release (please provide specific comments) >>> >>> NB: this is the first release using Gradle, so don't be too harsh ;) A >>> PR about the release guide will follow thanks to this release. >>> >>> The complete staging area is available for your review, which includes: >>> * JIRA release notes [1], >>> * the official Apache source release to be deployed to dist.apache.org >>> [2], which is signed with the key with fingerprint C8282E76 [3], >>> * all artifacts to be deployed to the Maven Central Repository [4], >>> * source code tag "v2.5.0-RC1" [5], >>> * website pull request listing the release and publishing the API >>> reference manual [6]. >>> * Java artifacts were built with Gradle 4.7 (wrapper) and OpenJDK/Oracle >>> JDK 1.8.0_172 (Oracle Corporation 25.172-b11). >>> * Python artifacts are deployed along with the source release to the >>> dist.apache.org [2]. >>> >>> The vote will be open for at least 72 hours. It is adopted by majority >>> approval, with at least 3 PMC affirmative votes. >>> >>> Thanks, >>> JB >>> >>> [1] >>> https://issues.apache.org/jira/secure/ReleaseNote.jspa?projectId=12319527&version=12342847 >>> [2] https://dist.apache.org/repos/dist/dev/beam/2.5.0/ >>> [3] https://dist.apache.org/repos/dist/release/beam/KEYS >>> [4] https://repository.apache.org/content/repositories/orgapachebeam-1041/ >>> [5] https://github.com/apache/beam/tree/v2.5.0-RC1 >>> [6] https://github.com/apache/beam-site/pull/463 >>> -- Jean-Baptiste Onofré [email protected] http://blog.nanthrax.net Talend - http://www.talend.com
