Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/351#issuecomment-39817138
I don't think this merges cleanly at present - mind up-merging it? Also the
test utility has been merged into mater now so you can remove it from this PR.
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GitHub user witgo opened a pull request:
https://github.com/apache/spark/pull/357
Fix:SPARK-1441 Compile Spark Core error with Hadoop 0.23.x
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$ git pull https://github.com/witgo/spark SPARK-1441
Alternatively yo
GitHub user techaddict opened a pull request:
https://github.com/apache/spark/pull/356
SPARK-1428: MLlib should convert non-float64 NumPy arrays to float64
instead of complaining
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Github user witgo commented on the pull request:
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Good job, guys.
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Merged into master.
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Looks good to me. Thanks @tdas and @andrewor14 for a ton of work on this
patch. I'll merge this.
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This passed tests, it appears there was an issue with the junit output
stuff on jenkins...
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Github user asfgit closed the pull request at:
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Github user rxin commented on the pull request:
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ok i merged this. thanks
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Github user willb commented on the pull request:
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I'm still tracking down exactly where this problem is coming from, but
here's a little more detail on what's going wrong with Python accumulators when
the closure passed to
GitHub user techaddict opened a pull request:
https://github.com/apache/spark/pull/355
SPARK-1433: Upgrade Mesos dependency to 0.17.0
Mesos 0.13.0 was released 6 months ago.
Upgrade Mesos dependency to 0.17.0
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/126#issuecomment-39810858
Looks like there were failures here:
```
[info] - query block statuses *** FAILED *** (30 seconds, 11 milliseconds)
[info] java.util.concurrent.TimeoutEx
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SchemaRDDLike.scala
---
@@ -62,4 +64,41 @@ trait SchemaRDDLike {
def registerAsTable(tableName: Stri
Github user rxin commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SchemaRDDLike.scala
---
@@ -62,4 +64,41 @@ trait SchemaRDDLike {
def registerAsTable(tableName: Stri
Github user rxin commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SchemaRDDLike.scala
---
@@ -62,4 +64,41 @@ trait SchemaRDDLike {
def registerAsTable(tableName: Stri
Github user tdas commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/util/TimeStampedHashMap.scala ---
@@ -87,53 +86,67 @@ class TimeStampedHashMap[A, B](updateTimeStampOnGet:
Boolean
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Jenkins, test this please.
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--- Diff:
core/src/main/scala/org/apache/spark/util/TimeStampedHashMap.scala ---
@@ -87,53 +86,67 @@ class TimeStampedHashMap[A, B](updateTimeStampOnGet:
Boo
Github user manishamde commented on the pull request:
https://github.com/apache/spark/pull/298#issuecomment-39808066
LGTM!
A couple of minor suggestions:
+ case class Split could be marked as Developer API
+ def loadLabeledData and val usage in DecisionTree object could
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--- Diff:
core/src/main/scala/org/apache/spark/storage/DiskBlockManager.scala ---
@@ -90,6 +90,20 @@ private[spark] class DiskBlockManager(shuffleManager:
Shuffl
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--- Diff:
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@@ -90,6 +90,20 @@ private[spark] class DiskBlockManager(shuffleManager:
Sh
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--- Diff:
core/src/main/scala/org/apache/spark/broadcast/HttpBroadcast.scala ---
@@ -54,7 +85,15 @@ private[spark] class HttpBroadcast[T](@transient var
valu
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--- Diff:
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@@ -54,7 +85,15 @@ private[spark] class HttpBroadcast[T](@transient var
value_ :
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--- Diff:
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@@ -54,7 +85,15 @@ private[spark] class HttpBroadcast[T](@transient var
valu
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--- Diff:
core/src/main/scala/org/apache/spark/broadcast/HttpBroadcast.scala ---
@@ -17,34 +17,65 @@
package org.apache.spark.broadcast
-impo
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@@ -17,34 +17,65 @@
package org.apache.spark.broadcast
-
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--- Diff:
core/src/main/scala/org/apache/spark/broadcast/BroadcastFactory.scala ---
@@ -27,7 +27,8 @@ import org.apache.spark.SparkConf
* entire Spark job.
GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/354
[SQL] SPARK-1424 Generalize insertIntoTable functions on SchemaRDDs
I don't think this is quite done yet, but want to hear what people think
about this API.
You can merge this pull request into a G
Github user tdas commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/broadcast/Broadcast.scala ---
@@ -51,49 +51,80 @@ import org.apache.spark._
* @tparam T Type of the data conta
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--- Diff:
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@@ -27,7 +27,8 @@ import org.apache.spark.SparkConf
* entire Spark j
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--- Diff: core/src/main/scala/org/apache/spark/ContextCleaner.scala ---
@@ -0,0 +1,203 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under on
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--- Diff: core/src/main/scala/org/apache/spark/broadcast/Broadcast.scala ---
@@ -51,49 +51,80 @@ import org.apache.spark._
* @tparam T Type of the data c
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--- Diff: core/src/main/scala/org/apache/spark/ContextCleaner.scala ---
@@ -0,0 +1,203 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under on
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--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -233,6 +233,13 @@ class SparkContext(
@volatile private[spark] var dagScheduler = n
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--- Diff: core/src/main/scala/org/apache/spark/ContextCleaner.scala ---
@@ -0,0 +1,203 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under on
Github user rxin commented on the pull request:
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ok merged
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--- Diff: core/src/main/scala/org/apache/spark/SparkContext.scala ---
@@ -233,6 +233,13 @@ class SparkContext(
@volatile private[spark] var dagScheduler
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--- Diff: core/src/main/scala/org/apache/spark/ContextCleaner.scala ---
@@ -0,0 +1,203 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under on
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--- Diff: core/src/main/scala/org/apache/spark/ContextCleaner.scala ---
@@ -0,0 +1,203 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) unde
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@@ -0,0 +1,203 @@
+/*
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--- Diff: core/src/main/scala/org/apache/spark/ContextCleaner.scala ---
@@ -0,0 +1,203 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) unde
Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/330#issuecomment-39805127
Hi @rxin @marmbrus, fixed the bug and added a regression test. Please help
to verify, thanks.
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/346#issuecomment-39804460
Here is a case where the streaming tests passed with the option turned on.
The solution to the hive tests is to parallelize them as was done here:
https://travis-
Github user haosdent commented on the pull request:
https://github.com/apache/spark/pull/346#issuecomment-39804422
Thank you for your quick reply. I should do some learning about this. Thank
you again!
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/353#issuecomment-39804336
Merged build triggered.
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/353#issuecomment-39804341
Merged build started.
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/346#issuecomment-39804217
The hive tests are likely failing to complete more often because #275
turned on a whole bunch more.
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GitHub user dbtsai opened a pull request:
https://github.com/apache/spark/pull/353
SPARK-1157: L-BFGS Optimizer based on Breeze's implementation.
This PR uses Breeze's L-BFGS implement, and Breeze dependency has already
been introduced by Xiangrui's sparse input format work in SPARK
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/346#issuecomment-39804104
InputStreamsSuite has been failing and the hive tests have taken more than
50 minutes long before this option was turned on.
They have also both passed since this
Github user haosdent commented on the pull request:
https://github.com/apache/spark/pull/346#issuecomment-39803998
@marmbrus IMHO, I am afraid this option trigger potential exist bugs
related serialization. After the commit, all builds in travis have two problem:
1. Failed in
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/274#issuecomment-39803855
Build triggered.
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