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https://issues.apache.org/jira/browse/BEAM-3060?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16249368#comment-16249368
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ASF GitHub Bot commented on BEAM-3060:
--------------------------------------
GitHub user DariuszAniszewski opened a pull request:
https://github.com/apache/beam/pull/4120
[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 https://github.com/DariuszAniszewski/beam
textioit-dataflow-perfkit
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/beam/pull/4120.patch
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 <dariusz.aniszew...@polidea.com>
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: https://issues.apache.org/jira/browse/BEAM-3060
> 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] https://beam.apache.org/documentation/io/testing/
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