[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

2016-11-20 Thread hvanhovell
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/15704 I am reverting this from 2.1. See https://issues.apache.org/jira/browse/SPARK-18515 for more information. --- If your project is set up for it, you can reply to this email and have your reply

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2016-11-15 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 I feel that we are really so close to 2.1. :) --- 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

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2016-11-15 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 I see. I agree. Thank you so much for cherry-picking. --- 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

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2016-11-15 Thread hvanhovell
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/15704 @dongjoon-hyun I have cherry picked it into branch 2.1. Please note that I will revert this as soon as it causes any problems, and then will push this to 2.2. --- If your project is set up for

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2016-11-15 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Oh, @hvanhovell. Can make a backport for branch-2.1 which will release this month? --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub

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2016-11-15 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you so much, @hvanhovell , @gatorsmile, @viirya ! --- 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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2016-11-15 Thread hvanhovell
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/15704 Merging to master. 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 not have this feature enabled and

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2016-11-15 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Hi, @hvanhovell or @gatorsmile . Could you merge this PR? --- 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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2016-11-14 Thread SparkQA
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2016-11-14 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you, @hvanhovell ! --- 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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2016-11-14 Thread hvanhovell
Github user hvanhovell commented on the issue: https://github.com/apache/spark/pull/15704 LGTM - pending jenkins --- 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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2016-11-14 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you for review, again. I'll fix them soon. --- 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

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2016-11-12 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15704 LGTM and let's see if @hvanhovell has more comments. --- 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

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2016-11-11 Thread SparkQA
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2016-11-11 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you, @viirya . I added a prevention logic to prevent that case. Now the PR works more like Hive. Hi, @hvanhovell . Could you review when you have sometime? --- If your

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2016-11-10 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you, @viirya ! I also feel like that. --- 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

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2016-11-10 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15704 The changes to parsing looks good to me. --- 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

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2016-11-10 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you, @hvanhovell . Now, this PR becomes much concise due to your advice. --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as

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2016-11-03 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you, @hvanhovell . I'll revise the PR. --- 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

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2016-11-03 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15704 Making sense. I think we can collect all matched partitions for all given specs. And do if exists check during the collecting. And then drop the distinct partitions. --- If your project is set up

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2016-11-03 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/15704 When the partition specs have `equal to` only, our implementation first checks all before starting the actual drop. See the

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2016-11-03 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15704 No. The first spec will drop the partition and the second spec will be failed. --- 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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2016-11-03 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/15704 Let us think this more carefully. In the following case, in which the partition specs have the overlapping range ```Scala sql("ALTER TABLE sales DROP PARTITION (quarter <= 3), PARTITION

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2016-11-03 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15704 Described in hive manual: https://cwiki.apache.org/confluence/display/Hive/LanguageManual+DDL#LanguageManualDDL-DropPartitions In Hive 0.7.0 or later, DROP returns an error if the partition

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2016-11-03 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/15704 Tonight, I did not finish the review, but I have a general question about this PR: ``` ALTER TABLE table DROP [IF EXISTS] PARTITION spec1[, PARTITION spec2, ...] ``` It sounds

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2016-11-03 Thread SparkQA
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2016-11-03 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 I addressed all comments. For the upcoming comments, I'll handle them tomorrow. Thank you so much always, @gatorsmile . --- If your project is set up for it, you can reply to this email and

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2016-11-03 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you, @gatorsmile ! I'll fix soon. --- 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

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2016-11-02 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you so much, @viirya . I added the testcase and fixed related bug again. --- 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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2016-11-02 Thread viirya
Github user viirya commented on the issue: https://github.com/apache/spark/pull/15704 LGTM except one comment for the test. cc @hvanhovell for second look. --- 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

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2016-11-02 Thread dongjoon-hyun
Github user dongjoon-hyun commented on the issue: https://github.com/apache/spark/pull/15704 Thank you for review, @viirya . I'll fix them tomorrow~ --- 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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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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[GitHub] spark issue #15704: [SPARK-17732][SQL] ALTER TABLE DROP PARTITION should sup...

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