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Posted to issues@spark.apache.org by "Chendi.Xue (Jira)" <ji...@apache.org> on 2021/10/27 00:57:00 UTC

[jira] [Created] (SPARK-37124) Support Writable ArrowColumnarVector

Chendi.Xue created SPARK-37124:
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             Summary: Support Writable ArrowColumnarVector
                 Key: SPARK-37124
                 URL: https://issues.apache.org/jira/browse/SPARK-37124
             Project: Spark
          Issue Type: New Feature
          Components: SQL
    Affects Versions: 3.2.0
            Reporter: Chendi.Xue


This Jira is aim to add Arrow format as an alternative for ColumnVector solution.

Current ArrowColumnVector is not fully equivalent to OnHeap/OffHeapColumnVector in spark, and since Arrow API is now being more stable, and using pandas udf will perform much better than python udf.

I am  proposing to fully support arrow format as an alternative to ColumnVector just like the other two.

What I did in this PR is to create a new class in the same package with OnHeap/OffHeapColumnVector and extend from WritableColumnVector to support all put APIs.

UTs are covering all Data Format with testing on writing to columnVector and reading from columnVector. I also added 3 UTs for testing on loading from ArrowRecordBatch and allocateColumns .



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