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Github user tedyu commented on the pull request:
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By adding a sleep after 'local metrics' finishes, I captured the following
using ps command:
```
USER PID %CPU %MEMVSZ RSS TTY STAT
hbase
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--- Diff:
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@@ -163,18 +170,19 @@ class UnifiedMemoryManagerSuite extends
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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 JoshRosen commented on the pull request:
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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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hmm. If I run `FsHistoryProviderSuite` individually, it is fine.
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@vanzin Looks like this breaks hadoop1 tests. Please see
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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
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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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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/9296#issuecomment-153201122
Merged into master. @dahlem Could you send a new PR to address @felixcheung
's comment?
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/unresolved.scala
---
@@ -166,26 +166,63 @@ abstract class Star extends
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@@ -166,26 +166,63 @@ abstract class Star extends
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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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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:
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@@ -77,8 +77,16 @@ private[sql] object
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Merged to branch-1.4 (1.4.2).
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Github user JoshRosen closed the pull request at:
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GitHub user JoshRosen opened a pull request:
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[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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Github user mengxr commented on the pull request:
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No, that is a compatible change.
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Merged into master. Thanks!
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ping @yhuai @JoshRosen
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--- Diff:
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@@ -166,26 +166,63 @@ abstract class Star extends
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SparkListenerSuite running out of memory is quite common on Jenkins:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,75 @@ setMethod("names<-",
}
})
+#' @rdname columns
+#'
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,75 @@ setMethod("names<-",
}
})
+#' @rdname columns
+#'
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@@ -184,7 +204,8 @@ private[sql] object
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Github user yhuai commented on the pull request:
https://github.com/apache/spark/pull/9367#issuecomment-153192578
@choochootrain I think you can write your app in SparkSubmitSuite
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.
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Github user dbtsai commented on the pull request:
https://github.com/apache/spark/pull/9311#issuecomment-153200678
Thanks. Merged into master.
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Github user mengxr commented on the pull request:
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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 olarayej commented on the pull request:
https://github.com/apache/spark/pull/8984#issuecomment-153179661
@sun-rui @felixcheung In types.R, should I then replace:
COMPLEX_TYPES <- c("map"=NA, "array"=NA, "struct"=NA)
by:
COMPLEX_TYPES <-
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9218#discussion_r43694097
--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,75 @@ setMethod("names<-",
}
})
+#' @rdname columns
+#'
Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/9218#discussion_r43694062
--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,75 @@ setMethod("names<-",
}
})
+#' @rdname columns
+#'
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/r/SparkRWrappers.scala
---
@@ -51,13 +51,22 @@ private[r] object SparkRWrappers {
pipeline.fit(df)
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
Github user dbtsai commented on the pull request:
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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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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)
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
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https://github.com/apache/spark/pull/6880#discussion_r43697828
--- Diff:
mllib/src/main/scala/org/apache/spark/mllib/clustering/DpMeans.scala ---
@@ -0,0 +1,279 @@
+/*
+ * Licensed to the Apache Software
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Github user felixcheung commented on the pull request:
https://github.com/apache/spark/pull/8984#issuecomment-153188047
@olarayej from what I gather from our conversation, "map" = NA should be
what we want initially. @sun-rui ?
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Github user felixcheung commented on a diff in the pull request:
https://github.com/apache/spark/pull/8984#discussion_r43697786
--- Diff: R/pkg/R/types.R ---
@@ -0,0 +1,41 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/9393#issuecomment-153190509
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9344#issuecomment-153194220
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