[GitHub] spark issue #13756: [SPARK-16041][SQL] Disallow Duplicate Columns in partiti...

2016-08-04 Thread gatorsmile
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2016-07-28 Thread SparkQA
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2016-07-28 Thread SparkQA
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2016-07-28 Thread gatorsmile
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2016-07-22 Thread SparkQA
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2016-07-22 Thread gatorsmile
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2016-07-12 Thread gatorsmile
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2016-07-12 Thread SparkQA
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2016-07-12 Thread gatorsmile
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2016-07-05 Thread SparkQA
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2016-07-05 Thread gatorsmile
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2016-07-01 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/13756 ping @liancheng @cloud-fan --- 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 does not have this feature enabled and

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2016-06-24 Thread gatorsmile
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2016-06-24 Thread SparkQA
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2016-06-24 Thread SparkQA
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2016-06-23 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/13756 Your suggestion is very good! Let me try it tonight. Thanks! --- 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 does

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2016-06-23 Thread cloud-fan
Github user cloud-fan commented on the issue: https://github.com/apache/spark/pull/13756 I'm thinking about if it's possible to concentrate error checking logics at one place for table creation. For example, we check duplicated table column names at parser for SQL

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2016-06-23 Thread SparkQA
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2016-06-22 Thread SparkQA
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2016-06-21 Thread SparkQA
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2016-06-21 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/13756 It sounds like `PreWriteCheck` rule is a good home for adding this checking. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If

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2016-06-20 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/13756 : ) Sharp eye! `blockBy` is the parameter name I used for another Project. Sorry for the wrong name. I did it more than once. Let me try to find a common place in Analyzer for this.

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2016-06-20 Thread liancheng
Github user liancheng commented on the issue: https://github.com/apache/spark/pull/13756 I think it would be better to move these checks to the analyzer, so that the SQL equivalents of those structures (partitioning and bucketing) can also benefit from them. --- If your project is

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2016-06-20 Thread liancheng
Github user liancheng commented on the issue: https://github.com/apache/spark/pull/13756 Do you mean `bucketBy` instead of `blockBy` in the PR title? --- 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 does

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2016-06-18 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/13756 @cloud-fan @yhuai @liancheng @clockfly Could you please review this PR? Thanks! --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well.

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2016-06-17 Thread SparkQA
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