Chendi.Xue created SPARK-37124:
----------------------------------
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 .
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
