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https://issues.apache.org/jira/browse/BEAM-6683?focusedWorklogId=289919&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-289919
 ]

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

                Author: ASF GitHub Bot
            Created on: 06/Aug/19 18:27
            Start Date: 06/Aug/19 18:27
    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_r311210973
 
 

 ##########
 File path: sdks/python/apache_beam/coders/coders.py
 ##########
 @@ -787,6 +788,40 @@ def as_deterministic_coder(self, step_label, 
error_message=None):
     return self
 
 
+AVRO_CODER_URN = "beam:coder:avro:v1"
+
+
+class AvroCoder(FastCoder):
+  """A coder used for AvroRecord values."""
+
+  def __init__(self, schema):
+    self.schema = schema
+
+  def _create_impl(self):
+    return coder_impl.AvroCoderImpl(self.schema)
+
+  def is_deterministic(self):
+    # TODO: need to confirm if it's deterministic
 
 Review comment:
   created https://issues.apache.org/jira/browse/BEAM-7903
 
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 289919)
    Time Spent: 22h 10m  (was: 22h)

> 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: 22h 10m
>  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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