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From "ASF GitHub Bot (JIRA)" <>
Subject [jira] [Commented] (BEAM-3060) Add performance tests for commonly used file-based I/O PTransforms
Date Mon, 13 Nov 2017 10:43:00 GMT


ASF GitHub Bot commented on BEAM-3060:

GitHub user DariuszAniszewski opened a pull request:

    [BEAM-3060] TextIOIT: DataFlow and PerfKit profiles + big hash

    This PR adds Maven profiles for DataFlow runner and PerfKit to `file-based-io-tests`
    Additionally hash for large dataset is added and doc for `TextIOIT` is fixed. 
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You can merge this pull request into a Git repository by running:

    $ git pull textioit-dataflow-perfkit

Alternatively you can review and apply these changes as the patch at:

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

    This closes #4120
commit c787e317cf42b21e41cccdf4f2abfeb28f5ab7e3
Author: Dariusz Aniszewski <>
Date:   2017-11-07T16:25:55Z

    Dataflow and PerfKit profiles; hash for 100.000.000 lines


> Add performance tests for commonly used file-based I/O PTransforms
> ------------------------------------------------------------------
>                 Key: BEAM-3060
>                 URL:
>             Project: Beam
>          Issue Type: Test
>          Components: sdk-java-core
>            Reporter: Chamikara Jayalath
>            Assignee: Szymon Nieradka
> 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]

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