GitHub user kiszk opened a pull request:
https://github.com/apache/spark/pull/18704
[SPARK-20783][SQL] Create CachedBatchColumnVector to abstract existing
compressed column (batch method)
## What changes were proposed in this pull request?
This PR adds a new class `OnHeapCachedBatch` class, which can have
compressed data by using `CompressibleColumnAccessor`, derived from
`ColumnVector` class.
As first step of this implementation, this JIRA supports primitive data
types. Another PR will support array and other data types.
Current implementation adds compressed data by using `putByteArray()`
method, and then gets data by using a getter (e.g. `getInt()`).
Thisimplementation decompress data in batch into uncompressed column batch,
as @rxin suggested at
[here](https://github.com/apache/spark/pull/18468#issuecomment-316914076).
Another implementation uses adapter approach [as @cloud-fan
suggested](https://github.com/apache/spark/pull/18468).
## How was this patch tested?
Added test suites
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/kiszk/spark SPARK-20783a
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/18704.patch
To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:
This closes #18704
----
commit c09f05f75f85203be9032ffcdcedf7f39c668a7a
Author: Kazuaki Ishizaki <ishiz...@jp.ibm.com>
Date: 2017-07-21T14:17:05Z
initial commit for batch implementation as @rxin suggested
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