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[SPARK-19851] Add new aggregates EVERY and ANY (SOME). - #17194
Conversation
@ptkool code wise this looks pretty good. I have one high level question. We could also use the exisiting |
hvanhovell
commented
Mar 7, 2017
ok to test |
@hvanhovell So you're saying |
SparkQA
commented
Mar 7, 2017
Test build #74136 has finished for PR 17194 at commit
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hvanhovell
commented
Mar 7, 2017
I am sorry I have flipped the pairs (I have updated the comment). We can use the ordering of booleans here, false is smaller than true. Let's say that we have column |
ptkool
commented
Mar 7, 2017
I think |
ptkool
commented
Mar 7, 2017
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SparkQA
commented
Mar 8, 2017
Test build #74141 has finished for PR 17194 at commit
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@ptkool Please update the title to include the JIRA Id so that it can be linked to jira automatically. |
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5764f21CompareSparkQA
commented
Mar 13, 2017
Test build #74447 has finished for PR 17194 at commit
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SparkQA
commented
Mar 13, 2017
Test build #74450 has finished for PR 17194 at commit
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SparkQA
commented
Mar 13, 2017
Test build #74457 has finished for PR 17194 at commit
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SparkQA
commented
Mar 13, 2017
Test build #74456 has finished for PR 17194 at commit
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SparkQA
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Mar 14, 2017
Test build #74478 has finished for PR 17194 at commit
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SparkQA
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Mar 14, 2017
Test build #74513 has finished for PR 17194 at commit
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SparkQA
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Mar 14, 2017
Test build #74522 has finished for PR 17194 at commit
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SparkQA
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Mar 15, 2017
Test build #74599 has finished for PR 17194 at commit
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SparkQA
commented
Mar 15, 2017
Test build #74600 has finished for PR 17194 at commit
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SparkQA
commented
Mar 15, 2017
Test build #74601 has finished for PR 17194 at commit
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What changes were proposed in this pull request?
This pull request implements the EVERY and ANY aggregates.
How was this patch tested?
Testing was performed using unit tests, integration tests, and manual tests.