GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/1883
[WIP][SPARK-2961][SQL] Use statistics to skip cached partitions
Adds the ability for `InMemoryColumnarTableScan` to skip partitions that
cannot possibly contain any matching rows, based on statistics collected when
caching. For example, if we know that in a given partition `max(a) = 10` and
there is a predicate `a = 15`, the partition will be skipped.
TODO:
- [ ] More tests
- [ ] Code cleanup
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marmbrus/spark inMemStats
Alternatively you can review and apply these changes as the patch at:
https://github.com/apache/spark/pull/1883.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 #1883
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commit 0c15b4c936ceba91a1125ad43579cca51ceb01eb
Author: Michael Armbrust <[email protected]>
Date: 2014-08-11T02:20:04Z
First draft of partition skipping based on statistics
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