Github user steveloughran commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/deploy/SparkHadoopUtil.scala
---
@@ -130,6 +130,21 @@ class SparkHadoopUtil extends Logging {
Github user falaki commented on a diff in the pull request:
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--- Diff: R/pkg/R/DataFrame.R ---
@@ -276,6 +276,57 @@ setMethod("names<-",
}
})
+#' @rdname columns
+#' @name
Github user asfgit closed the pull request at:
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Github user sethah commented on a diff in the pull request:
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--- Diff: sql/core/src/test/scala/org/apache/spark/sql/QueryTest.scala ---
@@ -168,6 +191,28 @@ object QueryTest {
return None
}
+
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/ann/LossFunction.scala
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@@ -0,0 +1,117 @@
+/*
+ * Licensed to the Apache Software
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--- Diff: mllib/src/main/scala/org/apache/spark/ml/ann/Layer.scala ---
@@ -546,65 +446,83 @@ private[ml] object FeedForwardTopology {
* Model of
Github user dilipbiswal commented on the pull request:
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@marmbrus
Michael, i tried putting "retest this please" in the comment but it does
not seem to start the tests ? Is there a way to restart the tests ?
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Github user marmbrus commented on the pull request:
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Thanks, merging to master.
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+1 on `spark.r.driver.command` and `spark.r.command`
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I vote for simplicity for SparkR and not have multiple session.
In fact I observe it is already messy to handle DataFrame created by a
different SparkContext
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Jenkins, this is ok to test.
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--- Diff:
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@@ -40,7 +42,8 @@ private[streaming] case class
GitHub user pronix opened a pull request:
https://github.com/apache/spark/pull/9221
update twitter4j to 4.0.4 version
update twitter4j to 4.0.4 version
https://issues.apache.org/jira/browse/SPARK-11245
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Github user sun-rui commented on the pull request:
https://github.com/apache/spark/pull/9205#issuecomment-150119806
is it possible for lin-r to skip # comment with code outside a function
body?
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--- Diff: R/pkg/R/SQLContext.R ---
@@ -17,6 +17,34 @@
# SQLcontext.R: SQLContext-driven functions
+#' Temporary function to reroute
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Github user ckadner commented on a diff in the pull request:
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--- Diff:
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--- Diff:
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@@ -428,6 +441,9 @@ class ReceiverTracker(ssc:
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core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosClusterScheduler.scala
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@@ -443,9 +444,13 @@ private[spark] class
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--- Diff: python/pyspark/streaming/listener.py ---
@@ -0,0 +1,75 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
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--- Diff:
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@@ -72,4 +78,56 @@ class MesosClusterSchedulerSuite
GitHub user FRosner opened a pull request:
https://github.com/apache/spark/pull/9222
SPARK-11258 Remove quadratic runtime complexity for converting a Spark
DataFrame into an R data.frame
https://issues.apache.org/jira/browse/SPARK-11258
I was not able to locate an existing
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--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/scheduler/ReceivedBlockTracker.scala
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@@ -235,8 +350,67 @@ private[streaming] class
Github user zsxwing commented on a diff in the pull request:
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--- Diff:
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@@ -40,7 +42,8 @@ private[streaming] case class
Github user zsxwing commented on the pull request:
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My 2 cents about this PR: is it possible to create a new `WriteAheadLog`
(such as, BatchWriteAheadLog) that wraps the existing `WriteAheadLog` and
implement the new
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Github user zsxwing commented on the pull request:
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I suggest adding some Python friendly classes for `BatchInfo`,
`ReceiverInfo`, `OutputOperationInfo` and converting these Scala objects to
them. Some Scala things, like
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GitHub user rxin opened a pull request:
https://github.com/apache/spark/pull/9219
[SPARK-11256] Mark all Stage/ResultStage/ShuffleMapStage internal state as
private.
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Github user zsxwing commented on a diff in the pull request:
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Github user chenghao-intel commented on a diff in the pull request:
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--- Diff:
sql/hive-thriftserver/src/main/scala/org/apache/spark/sql/hive/thriftserver/HiveThriftServer2.scala
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@@ -67,6 +68,46 @@ object
Github user steveloughran commented on the pull request:
https://github.com/apache/spark/pull/9221#issuecomment-150151459
Looking @ the twitter4j poms, their dependencies pull in a
com.googlecode.kryo -given the kryo pain its a possible troublespot. However,
that com.googlecode
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Seems like there is a real failure?
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GitHub user felixcheung opened a pull request:
https://github.com/apache/spark/pull/9218
[SPARK-9319][SPARKR] Add support for setting column names, types
Add support for for colnames, colnames<-, coltypes<-
I will merge with PR 8984 (coltypes) once it is in, possibly
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--- Diff:
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GitHub user kevinyu98 opened a pull request:
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[SPARK-5966]
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https://github.com/apache/spark/pull/9190#discussion_r42780810
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -0,0 +1,398 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9190#issuecomment-150305783
**[Test build #44162 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/44162/consoleFull)**
for PR 9190 at commit
Github user djalova commented on a diff in the pull request:
https://github.com/apache/spark/pull/9186#discussion_r42782220
--- Diff: python/pyspark/streaming/listener.py ---
@@ -0,0 +1,75 @@
+#
+# Licensed to the Apache Software Foundation (ASF) under one or more
+#
GitHub user rmarsch opened a pull request:
https://github.com/apache/spark/pull/9228
[SPARK-11261] [Core] Provide a more flexible alternative to Jdbc RDD
-Provide JdbcPartitioningRDD that allows fine grained control of the
queries run per Spark partition against the JDBC
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