sfc-gh-dhuo opened a new pull request, #37557:
URL: https://github.com/apache/spark/pull/37557

   …BYTE_ARRAY as a standalone encong column encoding.
   
   
   java.lang.UnsupportedOperationException: Unsupported encoding: 
DELTA_LENGTH_BYTE_ARRAY
   
   Added additional test case to ParquetIOSuite based on the associated
   test file from https://github.com/apache/parquet-testing
   
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   ### What changes were proposed in this pull request?
   Add DELTA_LENGTH_BYTE_ARRAY as a recognized encoding in 
VectorizedColumnReader so that
   vectorized reads succeed when there are columns using 
DELTA_LENGTH_BYTE_ARRAY as a standalone
   encoding.
   
   
   ### Why are the changes needed?
   
   Spark currently throws an exception for DELTA_LENGTH_BYTE_ARRAY columns when 
vectorized
   reads are enabled and trying to read `delta_length_byte_array.parquet` from 
https://github.com/apache/parquet-testing:
   
       java.lang.UnsupportedOperationException: Unsupported encoding: 
DELTA_LENGTH_BYTE_ARRAY
   
   ### Does this PR introduce _any_ user-facing change?
   Yes - previously throw UNSUPPORTED exception. Now reads the encoding same as 
if vectorized reads are disabled.
   
   
   ### How was this patch tested?
   Added test case to ParquetIOSuite; made sure it fails without the fix to 
VectorizedColumnReader and passes after.
   


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