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@mengxr done!
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Merged into master and branch-1.4.
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Right now Spark is on Hive 0.12 / 0.13 although it will become more
possible to use later Hive in the next version. So, that means our Hive
comparison tests are going to
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This LGTM.
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[SPARK-6590] [SQL] df.where accept a string conditionExpr
cc @yhuai
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LGTM
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--- Diff:
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GitHub user rxin opened a pull request:
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[SQL] Rename MathematicalExpression UnaryMathExpression, and specify
BinaryMathExpression's output data type as DoubleType.
Two minor changes.
cc @brkyvz
You can merge this pull request into
Github user dbtsai commented on the pull request:
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Waiting https://github.com/databricks/spark-perf/pull/72 to see if there is
performance regression.
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v
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GitHub user rxin opened a pull request:
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[SPARK-7887][SQL] Remove EvaluatedType from SQL Expression.
This type is not really used. Might as well remove it.
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Github user rxin commented on the pull request:
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cc @davies this might have some conflict with your stuff (although should
be minimal).
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Github user sarutak commented on the pull request:
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Sorry for my late response and thanks for reporting and address this issue
@andrewor14 , @carsonwang !
Actually, Timeline Views in AllJobPage and StagePage have same
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Retest this please
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Thanks @JoshRosen @rxin for comment.I had meet at lease two group by cases
of our production environment run long GC time and finally executor crash.These
case has a co
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Github user rxin commented on the pull request:
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@jeanlyn a better way to do this is to actually run some partial
aggregation, and if we see no reduction in data size, stop the partial
aggregation and just run the aggrega
Github user JoshRosen commented on the pull request:
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I've addressed the review comments. I also ported
BypassMergeSortShuffleWriter to Java and revised its Javadoc comment to try to
better explain how it works.
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@rxin thank you! I'll look into SPARK-6909 this week.
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@piaozhexiu looks good. I will merge once tests come back positive. It'd be
great if you have some cycles to help out with SPARK-6909 to inline the Hive 13
stuff.
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Jenkins, retest this please.
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test this please
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Github user asfgit closed the pull request at:
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Github user yhuai commented on the pull request:
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LGTM. I am merging it to master and branch 1.4.
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@@ -119,6 +119,15 @@ private[sql] abstract class SparkStrategies
Github user JoshRosen commented on the pull request:
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One note on naming: I worry that "partial aggregation" will be confused
with [partial
pre-aggregation](http://ieeexplore.ieee.org/xpl/login.jsp?tp=&arnumber=994787&url
Github user JoshRosen commented on the pull request:
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I guess that the GC benefits here are coming from the fact that the
map-side aggregation must, in the worst case, allocate a map entry for every
possible key, whereas
Github user squito commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
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@@ -1103,9 +1103,14 @@ class DAGScheduler(
// multiple tasks runni
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Can one of the admins verify this patch?
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GitHub user jeanlyn opened a pull request:
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[SPARK-7885][SQL]add config to control map aggregation in spark sql
[SPARK-7885](https://issues.apache.org/jira/browse/SPARK-7885),we add
`spark.sql.partialAggregation.enable`,it's true by default,w
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/6400
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Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/5986
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Github user squito commented on the pull request:
https://github.com/apache/spark/pull/6425#issuecomment-105742746
lgtm, just waiting on tests.
(note this is a followup from https://github.com/apache/spark/pull/6377 for
another "CST")
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/6400#issuecomment-105742714
LGTM. I am merging it to master and branch 1.4.
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/6421#issuecomment-105742646
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/6425#issuecomment-105742629
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Github user AmplabJenkins commented on the pull request:
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