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https://issues.apache.org/jira/browse/BEAM-3217?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16306393#comment-16306393
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ASF GitHub Bot commented on BEAM-3217:
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lgajowy opened a new pull request #4332: [BEAM-3217] add HadoopInputFormatIO
integration test using DBInputFormat
URL: https://github.com/apache/beam/pull/4332
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@chamikaramj could you take a look whether this PR is going to a good
direction? What do you think about the idea of using JdbcIO to write the data
(there is no write in HadoopInputFormatIO)?
Currently the test is working only for small datasets (100 000 rows, which
is about 3,43 MB). For 1 000 000 (and above) rows the test is flaky (different
hashes get generated). I'm investigating the cause right now.
For a large scale scenario: will 100 000 000 (3,4 GB) rows of data be
enough, or should we generate even larger dataset?
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> Add a performance test for HadoopInputFormatIO
> ----------------------------------------------
>
> Key: BEAM-3217
> URL: https://issues.apache.org/jira/browse/BEAM-3217
> Project: Beam
> Issue Type: Test
> Components: sdk-java-extensions
> Reporter: Chamikara Jayalath
> Assignee: Łukasz Gajowy
>
> We should add a large scale performance test for HadoopInputFormatIO. We
> should use PerfKitBenchmarker based performance testing framework [1] to
> manage Kubernetes based muti-node data store and to publish benchmark results.
> Example input format implementation to use: DBInputFormat to connect to a
> Postgres instance.
> https://github.com/hanborq/hadoop/blob/master/src/mapred/org/apache/hadoop/mapreduce/lib/db/DBInputFormat.java
>
> Example docker image to use: https://hub.docker.com/_/postgres/
> [1] https://beam.apache.org/documentation/io/testing/
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