[jira] [Work logged] (BEAM-3060) Add performance tests for commonly used file-based I/O PTransforms

["ASF GitHub Bot (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/BEAM-3060?focusedWorklogId=104231&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-104231 ]

ASF GitHub Bot logged work on BEAM-3060:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 21/May/18 20:19
            Start Date: 21/May/18 20:19
    Worklog Time Spent: 10m 
      Work Description: szewi opened a new pull request #5441: [BEAM-3060] HDFS large cluster configuration. Jenkins job updated to use large cl…
URL: https://github.com/apache/beam/pull/5441
 
 
   …uster.
   
   All files have meaningful description. This PR switches Jenkins job to use hdfs large cluster in all jenkins jobs that use hdfs. Large cluster is configured as 1 namenode and 3 datanodes. StatefulSet introduced in kubernetes 1.9 is used instead of ReplicationControlller as better solution for solving cluster auto-configuration issues. Docker image with hadoop 2.7.1 is hosted in public docker hub and being pulled from it.
   
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 104231)
    Time Spent: 8.5h  (was: 8h 20m)

> Add performance tests for commonly used file-based I/O PTransforms
> ------------------------------------------------------------------
>
>                 Key: BEAM-3060
>                 URL: https://issues.apache.org/jira/browse/BEAM-3060
>             Project: Beam
>          Issue Type: Test
>          Components: sdk-java-core
>            Reporter: Chamikara Jayalath
>            Assignee: Szymon Nieradka
>            Priority: Major
>          Time Spent: 8.5h
>  Remaining Estimate: 0h
>
> We recently added a performance testing framework [1] that can be used to do following.
> (1) Execute Beam tests using PerfkitBenchmarker
> (2) Manage Kubernetes-based deployments of data stores.
> (3) Easily publish benchmark results. 
> I think it will be useful to add performance tests for commonly used file-based I/O PTransforms using this framework. I suggest looking into following formats initially.
> (1) AvroIO
> (2) TextIO
> (3) Compressed text using TextIO
> (4) TFRecordIO
> It should be possibly to run these tests for various Beam runners (Direct, Dataflow, Flink, Spark, etc.) and file-systems (GCS, local, HDFS, etc.) easily.
> In the initial version, tests can be made manually triggerable for PRs through Jenkins. Later, we could make some of these tests run periodically and publish benchmark results (to BigQuery) through PerfkitBenchmarker.
> [1] https://beam.apache.org/documentation/io/testing/



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