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https://issues.apache.org/jira/browse/BEAM-3060?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16265648#comment-16265648
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ASF GitHub Bot commented on BEAM-3060:
--------------------------------------

chamikaramj commented on a change in pull request #4169: [BEAM-3060] Added 
support for multiple filesystems in TextIO
URL: https://github.com/apache/beam/pull/4169#discussion_r153042000
 
 

 ##########
 File path: 
sdks/java/io/common/src/test/java/org/apache/beam/sdk/io/common/IOTestPipelineOptions.java
 ##########
 @@ -100,4 +100,14 @@
   String getFilenamePrefix();
 
   void setFilenamePrefix(String prefix);
+
+  @Description("Google cloud storage - bucket_name/path")
+  String getGcsLocation();
 
 Review comment:
   Why don't we use fileNamePrefix for all file-systems instead of introducing 
a property per file-system ?

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> 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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