Github user jurriaan commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219207482
I'll create a JIRA just to be sure, thanks!
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Github user HyukjinKwon commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219207342
Oh, I just meant it changes codes to support partitioned table for text
data source which seems disabled in Spark 2.0. It seems the guide says it does
not a JIRA o
Github user jurriaan commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219207031
@HyukjinKwon It's related to
https://issues.apache.org/jira/browse/SPARK-14463. Or should I create a new
JIRA?
And how is this changing existing behaviour? It
Github user HyukjinKwon commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219199027
(I think it might need a JIRA because it seems changing existing behaviour)
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219165088
Test PASSed.
Refer to this link for build results (access rights to CI server needed):
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219165082
Merged build finished. Test PASSed.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219164866
**[Test build #58591 has
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for PR 13104 at commit
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219147522
**[Test build #58591 has
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219146749
ok to test
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/13104#issuecomment-219130685
Can one of the admins verify this patch?
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GitHub user jurriaan opened a pull request:
https://github.com/apache/spark/pull/13104
Fix reading of partitioned format=text datasets
I was using this in Spark 1.6.1 but it broke in Spark 2.0.0.
It would be logical if you could also write those,
but not entirely sure ho
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