GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/11065
[SPARK-13095] [SQL] improve performance for broadcast join with dimension
table
This PR improve the performance for Broadcast join with dimension tables,
which is common in data warehouse.
If the join key can fit in a long, we will use a special api `get(Long)` to
get the rows from HashedRelation.
If the HashedRelation only have unique keys, we will use a special api
`getValue(Long)` or `getValue(InternalRow)`.
If the keys can fit within a long, also the keys are dense, we will use a
array of UnsafeRow, instead a hash map.
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/davies/spark gen_dim
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/11065.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 #11065
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commit c0ca36a4b2b3a638e3cbcd59edf0e75609b97777
Author: Davies Liu <[email protected]>
Date: 2016-02-03T18:45:00Z
improve performance for broadcast join with dimension table
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