mosche opened a new pull request, #25297:
URL: https://github.com/apache/beam/pull/25297

   A bug in the collection encoder of the Spark dataset runner (aka Spark 
structured streaming runner) may result in corrupted data after a groupByKey if 
the dataset is converted to an RDD and persisted.
   
   The collection encoder just wraps the underlying serialized UnsafeArrayData 
for primitive types to present a Collection as a result of deserialization. 
However, Spark may reuse the underlying unsafe object and with that corrupt 
values. 
   
   This PR ensures the data is always copied when exposed. Usage in other cases 
such as Map deserialization is fine as values are eventually copied when 
constructing the map.
   
   I wasn't able to reproduce this in a Unit test. VR tests in 
https://github.com/apache/beam/pull/25187 will verify the behavior.
   
   Fixes #25296 
   
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