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@viirya @gatorsmile This pull request will help us improve the performance
of nested queries by a larger margin. This pull request performs well with
deeper level nests. I would like to have
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Github user WeichenXu123 commented on the issue:
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@zhengruifeng OK. so the the part of `KMeans` in this PR still works. No
need change I think.
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Rebased to the master.
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@gatorsmile good, i have add assert to all the other test cases in this
suite.
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Thanks! Merging to master.
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cc @holdenk and @ueshin, could you maybe take a look when you have some
time?
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Jenkins, retest this please.
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According to your review comments, I updated the comment , too.
Thank you again for spending your time to review my PRs!
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Github user dongjoon-hyun commented on a diff in the pull request:
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Github user zhengruifeng commented on the issue:
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`MinMaxScalerSuite` fails because `MinMaxScaler` need the behavior of
ignoring `NaN`. So I think there are 2 options:
1, `MultivariateOnlineSummarizer/Summarizer` support param
Github user jerryshao commented on a diff in the pull request:
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Github user jerryshao commented on the issue:
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Currently for Spark yarn-client application, we don't support fetching
files using above `SparkFiles.get` API. Since you already know where the file
is in client mode, so may be you don't need to
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Github user anabranch commented on the issue:
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I don't think this is necessarily my call but you're effectively writing a
hive udf, not a Spark one that depends on this. Writing a Spark UDF would
allow this to work just fine and the
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@WeichenXu123 Current impl of `mllib.KMeans` seems do not support caching,
it just (log
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Github user jerryshao commented on the issue:
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@vanzin @srowen pushed another commit to change 2.10 repl code, I tested
locally with 2.10 code, please review.
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Github user dongjoon-hyun commented on the issue:
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Thank you very much for review, @HyukjinKwon ! ð
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@@ -18,12 +18,13 @@
package
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package org.apache.spark.sql.hive.orc
Github user zhengruifeng commented on the issue:
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@WeichenXu123 Agree that we should pass `handlePersistence` to mllib impl.
Thanks for pointing it out!
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cc @zhengruifeng
I update my comment you need check again, thanks!
I read the PR again, it still do not resolve double-caching issue in KMeans.
in KMean, your code
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ping
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--- Diff: sql/core/src/test/resources/sql-tests/inputs/group-by.sql ---
@@ -30,8 +30,15 @@ SELECT a + 2, COUNT(b) FROM testData GROUP BY a + 1;
SELECT a
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Github user zhengruifeng commented on the issue:
https://github.com/apache/spark/pull/19084
ping @WeichenXu123 @srowen
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GitHub user zhengruifeng opened a pull request:
https://github.com/apache/spark/pull/19084
[SPARK-20711][ML]MultivariateOnlineSummarizer incorrect min/max for NaN
value
## What changes were proposed in this pull request?
current impl of min/max ignore `NaN`
for a
GitHub user maropu opened a pull request:
https://github.com/apache/spark/pull/19083
[SPARK-21871][SQL] Check actual bytecode size when compiling generated code
## What changes were proposed in this pull request?
This pr added code to check actual bytecode size when compiling
Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/18787#discussion_r135952994
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/arrow/ArrowConverters.scala
---
@@ -111,6 +125,66 @@ private[sql] object ArrowConverters {
Github user ueshin commented on a diff in the pull request:
https://github.com/apache/spark/pull/18787#discussion_r135952996
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/arrow/ArrowConvertersSuite.scala
---
@@ -1629,6 +1632,39 @@ class ArrowConvertersSuite
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/18860
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