Github user yjshen commented on the pull request:
https://github.com/apache/spark/pull/8200#issuecomment-166268307
@marmbrus @maropu @gatorsmile I've update my PR to add CNFNormalization
into the Optimizer. I'm so sorry for the delay in my reply.
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Github user maropu commented on the pull request:
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@gatorsmile +1 and great work :))
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Github user gatorsmile commented on the pull request:
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It sounds like multiple PRs are blocked by this PR. I will submit a PR for
fixing it tomorrow. Thanks!
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Github user gatorsmile commented on the pull request:
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As discussed in another PR https://github.com/apache/spark/pull/10362, we
plan to add CNF normalization into the Optimizer. Will you do it? Otherwise, I
can do it. Th
Github user marmbrus commented on the pull request:
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I don't think that is true. Its pretty standard to convert predicates into
CNF as part of optimization: http://db.cs.berkeley.edu/papers/UCB-MS-zfong.pdf
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@marmbrus converting a filter into CNF may lead to an expanded filter,
which I think is not necessarily a general optimisation.
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Is there a reason to not do all of this in the optimizer?
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Since #5700 has been merged, I would revert the PR to its original version,
without De Morgan's laws
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@liancheng , is the current version OK to you? seems you didn't see the
updates.
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Jenkins, retest this please.
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Github user cloud-fan commented on the pull request:
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Ah got it! Thanks for the explanation :)
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Github user liancheng commented on the pull request:
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@cloud-fan Conjunctions (`And` predicates) are more friendlier to filter
push-down optimization. Because it doesn't require both branches to be
convertible. Take predi
Github user cloud-fan commented on the pull request:
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I'm new to data source, can someone explain what can we benefit from CNF?
I'm sorry if this question is too stupid...
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@liancheng, do you mind to review this again? Thanks.
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Thanks @liancheng , I will update my PR soon.
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Hey @yjshen, I noticed that both this PR and #8132 are closed and code is
cleaned. Seems to be misoperation? Your original PR branches still exist in
your own repo tho
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GitHub user yjshen opened a pull request:
https://github.com/apache/spark/pull/8200
[SPARK-6624][SQL]Convert filters into CNF for data sources
This PR aims at converting filters into CNF, i.e. AND of ORs. By doing
this, we can possibly push more filters into datasource.
For
Github user yjshen closed the pull request at:
https://github.com/apache/spark/pull/8193
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/8193#issuecomment-131071292
Merged build finished. Test PASSed.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8193#issuecomment-131071034
[Test build #40856 has
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/8193#issuecomment-131025562
[Test build #40856 has
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Github user yjshen commented on the pull request:
https://github.com/apache/spark/pull/8193#issuecomment-131024720
cc @rxin @liancheng
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Github user AmplabJenkins commented on the pull request:
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Merged build triggered.
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GitHub user yjshen opened a pull request:
https://github.com/apache/spark/pull/8193
[SPARK-6624][SQL]Convert filters into CNF for data sources
This PR aims at converting filters into CNF, i.e. AND of ORs. By doing
this, we can possibly push more filters into datasource.
For
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