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Posted to issues@beam.apache.org by "Kyle Weaver (Jira)" <ji...@apache.org> on 2019/09/03 23:10:00 UTC
[jira] [Updated] (BEAM-8141) Add an integration test suite for
cross-language transforms for Spark runner
[ https://issues.apache.org/jira/browse/BEAM-8141?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kyle Weaver updated BEAM-8141:
------------------------------
Description:
We should add an integration test suite that covers following.
(1) Currently available Java IO connectors that do not use UDFs work for Python SDK on Spark runner.
(2) Currently available Python IO connectors that do not use UDFs work for Java SDK on Spark runner.
(3) Currently available Java/Python pipelines work in a scalable manner for cross-language pipelines (for example, try 10GB, 100GB input for textio/avroio for Java and Python).
was:
We should add an integration test suite that covers following.
(1) Currently available Java IO connectors that do not use UDFs work for Python SDK on Flink runner.
(2) Currently available Python IO connectors that do not use UDFs work for Java SDK on Flink runner.
(3) Currently available Java/Python pipelines work in a scalable manner for cross-language pipelines (for example, try 10GB, 100GB input for textio/avroio for Java and Python).
> Add an integration test suite for cross-language transforms for Spark runner
> ----------------------------------------------------------------------------
>
> Key: BEAM-8141
> URL: https://issues.apache.org/jira/browse/BEAM-8141
> Project: Beam
> Issue Type: Test
> Components: testing
> Reporter: Kyle Weaver
> Assignee: Kyle Weaver
> Priority: Major
> Fix For: 2.15.0
>
>
> We should add an integration test suite that covers following.
> (1) Currently available Java IO connectors that do not use UDFs work for Python SDK on Spark runner.
> (2) Currently available Python IO connectors that do not use UDFs work for Java SDK on Spark runner.
> (3) Currently available Java/Python pipelines work in a scalable manner for cross-language pipelines (for example, try 10GB, 100GB input for textio/avroio for Java and Python).
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