GitHub user ooq opened a pull request:
https://github.com/apache/spark/pull/14349
[SPARK-16524][SQL] Add RowBatch and RowBasedHashMapGenerator
## What changes were proposed in this pull request?
This PR is the first step for the following feature:
For hash aggregation in Spark SQL, we use a fast aggregation hashmap to act
as a "cache" in order to boost aggregation performance. Previously, the hashmap
is backed by a `ColumnarBatch`. This has performance issues when we have wide
schema for the aggregation table (large number of key fields or value fields).
In this JIRA, we support another implementation of fast hashmap, which is
backed by a `RowBasedKeyValueBatch`. We then automatically pick between the two
implementations based on certain knobs.
In this first-step PR, implementations for `RowBasedKeyValueBatch` and
`RowBasedHashMapGenerator` are added.
## How was this patch tested?
Unit tests: `RowBasedKeyValueBatchSuite`
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ooq/spark SPARK-16524
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/14349.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 #14349
----
commit e40a3c6d6c889049bb19967547fc821854580453
Author: Qifan Pu <[email protected]>
Date: 2016-07-25T20:28:22Z
SPARK-16524 done.
commit 33978cbc533f4948a77f983f1f3fc1ac75dedeac
Author: Qifan Pu <[email protected]>
Date: 2016-07-25T20:31:29Z
Update VectorizedHashMapGenerator.scala
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