[SPARK-4937][SQL] Normalizes conjunctions and disjunctions to eliminate common predicates by liancheng · Pull Request #3784 · apache/spark

liancheng · 2014-12-24T05:56:59Z

This PR is a simplified version of several filter optimization rules introduced in #3778 authored by @scwf. Newly introduced optimizations include:

a && a => a
a || a => a
(a || b || c || ...) && (a || b || d || ...) => a && b && (c || d || ...)

The 3rd rule is particularly useful for optimizing the following query, which is planned into a cartesian product

SELECT*FROM t1, t2
WHERE (t1.key=t2.keyANDt1.value>10)
OR (t1.key=t2.keyANDt2.value<20)

to the following one, which is planned into an equi-join:

SELECT*FROM t1, t2
WHEREt1.key=t2.keyAND (t1.value>10ORt2.value<20)

The example above is quite artificial, but common predicates are likely to appear in real life complex queries (like the one mentioned in #3778).

A difference between this PR and #3778 is that these optimizations are not limited to Filter, but are generalized to all logical plan nodes. Thanks to @scwf for bringing up these optimizations, and @chenghao-intel for the generalization suggestion.

SparkQA · 2014-12-24T05:57:30Z

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AmplabJenkins · 2014-12-24T05:57:35Z

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chenghao-intel · 2014-12-25T05:09:11Z

f.transformExpressionUp instead? And this rule also can be applied to the normal expressions, not just only for expression in Filter. Move this into BooleanSimplification?

Ah, f.transformExpressionUp is really a good idea! Moving to BooleanSimplification also makes sense. Thanks for the suggestions :)

chenghao-intel · 2014-12-25T05:14:45Z

This is really helpful optimization, and the implementation makes sense to me, and it would be great if we apply the rules for the those non Filter expressions also.

SparkQA · 2014-12-25T09:27:29Z

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scwf · 2014-12-25T14:56:53Z

Hi @liancheng, i admit my PR is more complicated, but this only cover three cases, i think we'd better adding a separate rule to optimize And/Or in sql for as many as possible cases, not mix several cases in BooleanSimplification. So I am refactorying my PR to make it more readable and clean.

SparkQA · 2014-12-25T15:47:30Z

Test build #24821 has started for PR 3784 at commit caca560.

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Test build #24821 has finished for PR 3784 at commit caca560.

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scwf · 2014-12-26T01:41:57Z

Hi, @liancheng, my PR originally also not limited to Filter, i used transformExpressionsDown from my first version, the tittle of my first version is not accurate:)

liancheng · 2014-12-27T05:35:04Z

Hey @scwf, I've posted my reply in #3778, so lets discuss these rules there to prevent distraction.

marmbrus · 2014-12-30T21:38:45Z

Thanks! I've merged this to master.

Adds an optimization rule for filter normalization
cf95639

liancheng mentioned this pull request Dec 24, 2014
[SPARK-4937][SQL] Adding optimization to simplify the And, Or condition in spark sql #3778
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liancheng changed the title ~~[SPARK-4937] Normalizes conjunctions and disjunctions to eliminate common predicates~~[SPARK-4937][SQL] Normalizes conjunctions and disjunctions to eliminate common predicatesDec 24, 2014

liancheng added 2 commits December 24, 2014 14:08

Forgot our sacred Apache licence header...
2abbf8e

Fixes typo in comment
5d54349

liancheng force-pushed the normalize-filters branch from 3cf7937 to 0e51101Compare December 24, 2014 07:52

Fixes test failure, adds more tests
4ab3a58

liancheng force-pushed the normalize-filters branch from 0e51101 to 4ab3a58Compare December 24, 2014 08:04

chenghao-intel reviewed Dec 25, 2014
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liancheng force-pushed the normalize-filters branch from 00aaa63 to f4d9b8fCompare December 25, 2014 09:31

liancheng force-pushed the normalize-filters branch from f4d9b8f to 601d5f6Compare December 25, 2014 09:33

Moves filter normalization into BooleanSimplification rule
caca560

liancheng force-pushed the normalize-filters branch from 601d5f6 to caca560Compare December 25, 2014 15:44

asfgit closed this in 61a99f6Dec 30, 2014

liancheng deleted the normalize-filters branch December 31, 2014 00:29

liancheng mentioned this pull request Dec 23, 2015
[SPARK-6624][SQL]Add CNF Normalization as part of optimization #8200
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