Wenchen Fan created SPARK-20960:
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Summary: make ColumnVector public
Key: SPARK-20960
URL: https://issues.apache.org/jira/browse/SPARK-20960
Project: Spark
Issue Type: New Feature
Components: SQL
Affects Versions: 2.3.0
Reporter: Wenchen Fan
Assignee: Wenchen Fan
ColumnVector is an internal interface in Spark SQL, which is only used for
vectorized parquet reader to represent the in-memory columnar format.
In Spark 2.3 we want to make ColumnVector public, so that we can provide a more
efficient way for data exchanges between Spark and external systems. For
example, we can use ColumnVector to build the columnar read API in data source
framework, we can use ColumnVector to build a more efficient UDF API, etc.
We also want to introduce a new ColumnVector implementation based on Apache
Arrow(basically just a wrapper over Arrow), so that external systems(like
Python Pandas DataFrame) can build ColumnVector very easily.
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