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https://issues.apache.org/jira/browse/BEAM-6683?focusedWorklogId=243584&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-243584
 ]

ASF GitHub Bot logged work on BEAM-6683:
----------------------------------------

                Author: ASF GitHub Bot
            Created on: 16/May/19 19:03
            Start Date: 16/May/19 19:03
    Worklog Time Spent: 10m 
      Work Description: ihji commented on pull request #8174: [BEAM-6683] add 
createCrossLanguageValidatesRunner task
URL: https://github.com/apache/beam/pull/8174#discussion_r284854091
 
 

 ##########
 File path: sdks/python/apache_beam/runners/worker/sdk_worker_main.py
 ##########
 @@ -197,6 +198,19 @@ def _get_worker_count(pipeline_options):
   return 12
 
 
+def _load_avro_coder(pipeline_options):
+  experiments = pipeline_options.view_as(DebugOptions).experiments
+
+  experiments = experiments if experiments else []
+
+  for experiment in experiments:
+    # There should only be 1 match so returning from the loop
+    if re.match(r'xlang_test', experiment):
 
 Review comment:
   same here.
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 243584)
    Time Spent: 9h  (was: 8h 50m)

> Add an integration test suite for cross-language transforms for Flink runner
> ----------------------------------------------------------------------------
>
>                 Key: BEAM-6683
>                 URL: https://issues.apache.org/jira/browse/BEAM-6683
>             Project: Beam
>          Issue Type: Test
>          Components: testing
>            Reporter: Chamikara Jayalath
>            Assignee: Heejong Lee
>            Priority: Major
>          Time Spent: 9h
>  Remaining Estimate: 0h
>
> 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). 
>  



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