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2016-07-05 Thread rxin
Github user rxin commented on the issue: https://github.com/apache/spark/pull/13494 @lianhuiwang please update the pull request description to include the actual cases that are supported in this pull request. --- If your project is set up for it, you can reply to this email and

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2016-07-04 Thread lianhuiwang
Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13494 @cloud-fan Thanks. I have updated with some of your comments. Yes, it is not a small patch and it needs more reviewers. @yhuai @liancheng Could you take a look at this PR? Thanks. ---

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2016-07-03 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13494 LGTM exception some naming/testing comments. This is not a small patch and definitely need more reviewers. Let's also add more comments inside the new rule to make it easier to review.

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2016-07-01 Thread lianhuiwang
Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13494 @cloud-fan I have updated with your branch code. Thanks a lot. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project

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2016-07-01 Thread lianhuiwang
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2016-06-30 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13494 hi @lianhuiwang , we need to propagate partition information bottom up, but adding a `isMetadataColumn` to `NamedExpression` is kind of overkill. I tried to simplify it a little bit, and make it

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2016-06-29 Thread lianhuiwang
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2016-06-29 Thread lianhuiwang
Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13494 @cloud-fan Thanks. Now i add 'isPartitionColumn' (maybe use other name) to AttributeReference in order to check partition columns in Aggregate. --- If your project is set up for it, you can

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2016-06-27 Thread lianhuiwang
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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

2016-06-27 Thread SparkQA
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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

2016-06-27 Thread AmplabJenkins
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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

2016-06-27 Thread AmplabJenkins
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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

2016-06-27 Thread SparkQA
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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

2016-06-27 Thread SparkQA
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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

2016-06-27 Thread lianhuiwang
Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13494 @cloud-fan Thanks for addressing two points. For 1, I have updated for it. For 2, Now at the end it just replace relation plan with LogicalRDD. --- If your project is set up for it, you can

[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

2016-06-27 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13494 Hi @lianhuiwang , thanks for working on it, looks pretty good! Some suggestions about the strategy: 1. instead of handling `Distinct`, I think we can expand the optimizable cases in

[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

2016-06-26 Thread SparkQA
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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

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[GitHub] spark issue #13494: [SPARK-15752] [SQL] support optimization for metadata on...

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2016-06-24 Thread lianhuiwang
Github user lianhuiwang commented on the issue: https://github.com/apache/spark/pull/13494 @rxin @cloud-fan I have updated this PR for many comments. Can you take a look at? Thanks. --- If your project is set up for it, you can reply to this email and have your reply appear on

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