GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/9425
[SPARK-11466] [core] Avoid mockito in multi-threaded FsHistoryProviderSuite
test.
The test functionality should be the same, but without using mockito; logs
don't
really say anything useful but
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Github user yhuai commented on a diff in the pull request:
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--- Diff:
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---
@@ -166,26 +166,63 @@ abstract class Star extends LeafExpress
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--- Diff: core/src/main/java/org/apache/spark/memory/MemoryConsumer.java ---
@@ -43,10 +41,14 @@ protected MemoryConsumer(TaskMemoryManager
taskMemoryManager)
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ping @yhuai @JoshRosen
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Github user mengxr commented on the pull request:
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Merged into master. @dahlem Could you send a new PR to address @felixcheung
's comment?
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GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/9424
[SPARK-11467] [SQL] add Python API for stddev/variance
Add Python API for
stddev/stddev_pop/stddev_samp/variance/var_pop/var_samp/skewness/kurtosis
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@dbtsai The comment on `LogisticRegressionAggregator` is not addressed
yet. Could you send a PR to fix it?
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Github user dbtsai commented on the pull request:
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Thanks. Merged into master.
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Merged into master. Thanks!
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Github user JoshRosen commented on the pull request:
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Ping @yhuai, any objection to merging this to 1.5? A similar fix has
already been incorporated into master as part of my memory manager
consolidation patch. We could a
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No, that is a compatible change.
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GitHub user JoshRosen opened a pull request:
https://github.com/apache/spark/pull/9423
[SPARK-11424] Guard against double-close() of RecordReaders (branch-1.3
backport)
This is a branch-1.3 backport of #9382, a fix for SPARK-11424.
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Merged to branch-1.4 (1.4.2).
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Github user yhuai commented on the pull request:
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I have created https://issues.apache.org/jira/browse/SPARK-11466.
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Github user yhuai commented on the pull request:
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hmm. If I run `FsHistoryProviderSuite` individually, it is fine.
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@davies, @andrewor14, @rxin: this PR is now ready for review.
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Github user yhuai commented on the pull request:
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@vanzin Looks like this breaks hadoop1 tests. Please see
https://amplab.cs.berkeley.edu/jenkins/view/Spark%20QA%20Test%20(Dashboard)/job/Spark-Master-SBT/AMPLAB_JENKINS_BUI
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Github user vanzin commented on the pull request:
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ping @rxin @zsxwing
This is blocking other stuff I'm working on so I'd really like to push this
soon.
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Github user yhuai commented on the pull request:
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@choochootrain I think you can write your app in SparkSubmitSuite
(https://github.com/apache/spark/blob/master/core/src/test/scala/org/apache/spark/deploy/SparkSubmitSuite.
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Github user davies commented on a diff in the pull request:
https://github.com/apache/spark/pull/8840#discussion_r43699404
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/PartitioningUtils.scala
---
@@ -184,7 +204,8 @@ private[sql] object PartitioningU
Github user gatorsmile commented on the pull request:
https://github.com/apache/spark/pull/9419#issuecomment-153192515
@rick-ibm Will add more comments to explain it. Especially, I will
emphasize this design will expect the optimizer collapses these two projections
into a single one.
Github user choochootrain commented on the pull request:
https://github.com/apache/spark/pull/9367#issuecomment-153191848
i'm writing the test right now, is there an easy way to get the relative
path to the assembled spark jar so I can compile my job against it?
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,75 @@ setMethod("names<-",
}
})
+#' @rdname columns
+#' @nam
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,75 @@ setMethod("names<-",
}
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+#' @nam
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--- Diff:
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@@ -163,18 +170,19 @@ class UnifiedMemoryManagerSuite extends
Mem
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--- Diff:
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@@ -0,0 +1,279 @@
+/*
+ * Licensed to the Apache Software Foundatio
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--- Diff: R/pkg/R/types.R ---
@@ -0,0 +1,41 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreeme
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@olarayej from what I gather from our conversation, "map" = NA should be
what we want initially. @sun-rui ?
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GitHub user davies opened a pull request:
https://github.com/apache/spark/pull/9422
[SPARK-10429] [SQL] make mutableProjection atomic
Right now, SQL's mutable projection updates every value of the mutable
project after it evaluates the corresponding expression. This makes the
behav
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9344#issuecomment-153187016
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Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/9344#discussion_r43696993
--- Diff: core/src/main/scala/org/apache/spark/memory/package.scala ---
@@ -0,0 +1,75 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) und
Github user tedyu commented on the pull request:
https://github.com/apache/spark/pull/9384#issuecomment-153186003
By adding a sleep after 'local metrics' finishes, I captured the following
using ps command:
```
USER PID %CPU %MEMVSZ RSS TTY STAT
hbase
Github user AmplabJenkins commented on the pull request:
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Github user dbtsai commented on the pull request:
https://github.com/apache/spark/pull/9311#issuecomment-153183047
This looks good to me, but I wonder if changing from `val weights` into
`def weights: Vector = coefficients` will cause any binary compatibility issue.
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Github user AmplabJenkins commented on the pull request:
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9344#issuecomment-153182320
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/9393#issuecomment-153182111
@yhuai This only applies to UDFs. What if a user uses built-in expressions,
e.g.:
~~~scala
val a = b + c
val d = a * a
~~~
It may be useful t
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