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Posted to issues@beam.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2020/08/03 20:27:00 UTC
[jira] [Work logged] (BEAM-8258) Implement Nexmark (benchmark
suite) in Python and integrate it with Spark and Flink runners
[ https://issues.apache.org/jira/browse/BEAM-8258?focusedWorklogId=465899&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-465899 ]
ASF GitHub Bot logged work on BEAM-8258:
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Author: ASF GitHub Bot
Created on: 03/Aug/20 20:26
Start Date: 03/Aug/20 20:26
Worklog Time Spent: 10m
Work Description: pabloem commented on pull request #12365:
URL: https://github.com/apache/beam/pull/12365#issuecomment-668225000
oops sorry what happened in this PR after all?
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Issue Time Tracking
-------------------
Worklog Id: (was: 465899)
Time Spent: 2h 20m (was: 2h 10m)
> Implement Nexmark (benchmark suite) in Python and integrate it with Spark and Flink runners
> -------------------------------------------------------------------------------------------
>
> Key: BEAM-8258
> URL: https://issues.apache.org/jira/browse/BEAM-8258
> Project: Beam
> Issue Type: Bug
> Components: testing-nexmark
> Reporter: Ismaël Mejía
> Priority: P3
> Labels: gsoc, gsoc2020, mentor
> Time Spent: 2h 20m
> Remaining Estimate: 0h
>
> Apache Beam [1] is a unified and portable programming model for data processing jobs (pipelines). The Beam model [2, 3, 4] has rich mechanisms to process endless streams of events.
> Nexmark [5] is a benchmark for streaming jobs, basically a set of jobs (queries) to test different use cases of the execution system. Beam implemented Nexmark for Java [6, 7] and it has been succesfully used to improve the features of multiple Beam runners and discover performance regressions.
> Thanks to the work on portability [8] we can now run Beam pipelines on top of open source systems like Apache Spark [9] and Apache Flink [10]. The goal of this issue/project is to implement the Nexmark queries on Python and configure them to run on our CI on top of open source systems like Apache Spark and Apache Flink. The goal is that it helps the project to track and improve the evolution of portable open source runners and our python implementation as we do for Java.
> Because of the time constraints of GSoC we will adjust the goals (sub-tasks) depending on progress.
> [1] https://beam.apache.org/
> [2] https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-101
> [3] https://www.oreilly.com/ideas/the-world-beyond-batch-streaming-102
> [4] https://static.googleusercontent.com/media/research.google.com/en//pubs/archive/43864.pdf
> [5] https://web.archive.org/web/20100620010601/http://datalab.cs.pdx.edu/niagaraST/NEXMark/
> [6] https://beam.apache.org/documentation/sdks/java/testing/nexmark/
> [7] https://github.com/apache/beam/tree/master/sdks/java/testing/nexmark
> [8] https://beam.apache.org/roadmap/portability/
> [9] https://spark.apache.org/
> [10] https://flink.apache.org/
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