GitHub user sameeragarwal opened a pull request:
https://github.com/apache/spark/pull/12055
[SPARK-14263][SQL] Benchmark Vectorized HashMap for GroupBy Aggregates
## What changes were proposed in this pull request?
This PR proposes a new data-structure called based on a vectorized hashmap
that can be potentially _codegened_ in `TungstenAggregate` to speed up
aggregates with group by. Micro-benchmarks show a 10x improvement over the
current `BytesToBytes` aggregation map.
## How was this patch tested?
Intel(R) Core(TM) i7-4960HQ CPU @ 2.60GHz
BytesToBytesMap: Best/Avg Time(ms) Rate(M/s)
Per Row(ns) Relative
-------------------------------------------------------------------------------------------
hash 108 / 119 96.9
10.3 1.0X
fast hash 63 / 70 166.2
6.0 1.7X
arrayEqual 70 / 73 150.8
6.6 1.6X
Java HashMap (Long) 141 / 200 74.3
13.5 0.8X
Java HashMap (two ints) 145 / 185 72.3
13.8 0.7X
Java HashMap (UnsafeRow) 499 / 524 21.0
47.6 0.2X
BytesToBytesMap (off Heap) 483 / 548 21.7
46.0 0.2X
BytesToBytesMap (on Heap) 485 / 562 21.6
46.2 0.2X
Vectorized Hashmap 54 / 60 193.7
5.2 2.0X
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/sameeragarwal/spark vectorized-hashmap
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/12055.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 #12055
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commit 7fd7d705347cb3f45f07d8db2e0188cb534f220d
Author: Sameer Agarwal <[email protected]>
Date: 2016-03-28T18:21:13Z
Vectorized HashMap
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