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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 Fri, 24 Nov 2017 05:56:00 GMT


ASF GitHub Bot commented on BEAM-3060:

chamikaramj commented on a change in pull request #4149: [BEAM-3060] Add Compressed TextIOIT

 File path: sdks/java/io/file-based-io-tests/src/test/java/org/apache/beam/sdk/io/text/
 @@ -83,25 +90,82 @@ private static String appendTimestamp(String filenamePrefix) {
     return String.format("%s_%s", filenamePrefix, new Date().getTime());
-  @Test
-  public void writeThenReadAll() {
-    PCollection<String> testFilenames = pipeline
-        .apply("Generate sequence", GenerateSequence.from(0).to(numberOfTextLines))
-        .apply("Produce text lines", ParDo.of(new DeterministicallyConstructTestTextLineFn()))
-        .apply("Write content to files", TextIO.write().to(filenamePrefix).withOutputFilenames())
-        .getPerDestinationOutputFilenames().apply(Values.<String>create());
+  /** IO IT with no compression. */
+  @RunWith(JUnit4.class)
 Review comment:
   This means that this test will be picked up by all test suites (including Java pre-commit),
isn't it ? Not sure if we want to do that due to the size of this test. Adding to post-commit
tests should be fine.

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> 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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