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+/*
+ * Licensed to the
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+/*
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Github user dongjoon-hyun commented on the issue:
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Thank you for guiding me. I hope this PR become more valuable in Spark, too.
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Github user husseinhazimeh commented on the issue:
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@rxin your feedback would be appreciated
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Github user dongjoon-hyun commented on the issue:
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That's a good point of view. Right. I agree with you, `DROP/CREATE isn't
the best solution in all cases`. We can automatically check the schema
**compatibility** in some way.
Let me dig
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Github user dongjoon-hyun commented on the issue:
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@hvanhovell .
I rebased and updated one place for `isTemporaryTable`.
Thank you for in-depth review.
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Github user lianhuiwang commented on the issue:
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@hvanhovell I have addressed some of your comments. Thanks. Could you look
at again?
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Github user dongjoon-hyun commented on a diff in the pull request:
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Github user sethah commented on the issue:
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@MechCoder I addressed your comments. I updated the scala doc for
`findSplitsForContinuousFeature` to reflect the return type. I think it's fine
to simply fix the doc for now. Let me know if you see
Github user GayathriMurali commented on the issue:
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@hhbyyh Thanks for helping out. Updated commit includes logic to include
topicDistributionCol @yanboliang
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--- Diff:
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@@ -137,14 +137,47 @@ class RandomForestSuite extends SparkFunSuite
Github user petermaxlee commented on the issue:
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I submitted a new pull request https://github.com/apache/spark/pull/14138
and in that version only static methods are supported.
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GitHub user petermaxlee opened a pull request:
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[SPARK-16284][SQL] Implement reflect SQL function
## What changes were proposed in this pull request?
This patch implements reflect SQL function, which can be used to invoke a
Java method
Github user dongjoon-hyun commented on a diff in the pull request:
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--- Diff:
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Github user vanzin commented on the issue:
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I'd like to get this in soon, so pending tests, I'll leave this open until
tomorrow and then push, unless I hear otherwise.
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windows?)
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I'll leave this open until EOD then push the change.
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Github user hvanhovell commented on the issue:
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Cherry picked this into 2.0.
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/Percentile.scala
---
@@ -0,0 +1,148 @@
+/*
+ * Licensed
Github user srowen commented on the issue:
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OK, later we'd have to make the base version 2.0.0 right? that's fine
though either way we have to bump something later, so was going to wait, but,
no big deal either way, especially if it reduces
Github user asfgit closed the pull request at:
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Github user jiangxb1987 commented on the issue:
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@hvanhovell Thank you for your kindly review, the suggestions are quite
useful for me. I'll try to get some time later today to update some fixes.
Thanks!
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I'm going to merge this in master.
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Github user rxin commented on the issue:
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Yup once we actually release we can bump the base version. The good thing
with the new approach is that we can now define mima excludes based on 2.0 or
2.1 versions already.
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Github user dongjoon-hyun commented on the issue:
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If pissible, I hope. :)
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@rxin I added configurability; does that look reasonable? there are several
ways to play this one.
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14130
That's why I did https://github.com/apache/spark/pull/14128
Base mima version is still 1.6, and 2.0 and 2.1 currently has the same set
of excludes.
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/14088
Merged build finished. Test FAILed.
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/14088
**[Test build #62095 has
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14115
Should this be in 2.0?
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Github user petermaxlee commented on the issue:
https://github.com/apache/spark/pull/14131
I've added the checkEvaluation fix here too.
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/14115
@hvanhovell please leave a message on the pr next time when you merge one
-- and also indicate the branch this was merged in (master in this case).
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Github user phalodi commented on the issue:
https://github.com/apache/spark/pull/14135
@srowen yeah you are right i will close this request can you please look
into documentation pull request https://github.com/apache/spark/pull/14104
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