[PR] [#37994] Fix NullPointerException in Spark Runner with multiple outputs and serialization [beam]

Tue, 31 Mar 2026 02:47:49 -0700 


stankiewicz opened a new pull request, #38011:
URL: https://github.com/apache/beam/pull/38011

   When using Spark StorageLevels that require serialization (e.g., 
MEMORY_AND_DISK_SER). the Spark Runner would fail with a NullPointerException 
if a ParDo had unconsumed outputs. This occurred because unconsumed outputs are 
pruned from the coder map, leaving them without a coder during the RDD encoding 
phase.
       
   This fix:
     - Updates `TranslationUtils.getTupleTagEncodeFunction` to return null for 
tags without a coder.
     - Adds non-null filtering before RDD persistence in `TransformTranslator`, 
  `StatefulStreamingParDoEvaluator`, and `StreamingTransformTranslator` to  
gracefully skip these unconsumed outputs.
     -  Added a regression test in `TransformTranslatorTest` to verify the fix 
with multiple outputs and serialization enabled.
   
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