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Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/755#issuecomment-42920541
Also we might want to call this saveAsPickleFile and pickleFile instead to
make clear that it's not compatible with the Java/Scala objectFile.
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GitHub user ash211 opened a pull request:
https://github.com/apache/spark/pull/756
SPARK-1818 Freshen Mesos documentation
Place more emphasis on using precompiled binary versions of Spark and Mesos
instead of encouraging the reader to compile from source.
You can merge this
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Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/756#discussion_r12569697
--- Diff: docs/running-on-mesos.md ---
@@ -3,19 +3,105 @@ layout: global
title: Running Spark on Mesos
---
-Spark can run on clusters
Github user scwf commented on a diff in the pull request:
https://github.com/apache/spark/pull/714#discussion_r12502268
--- Diff: core/src/main/scala/org/apache/spark/storage/BlockManager.scala
---
@@ -1045,6 +1045,9 @@ private[spark] object BlockManager extends Logging {
Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/755#issuecomment-42920512
How can you make sure that in future versions of PySpark, the same
deserializer will be used? You should force this to save pickled objects
somehow instead of relying on
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Github user ash211 commented on a diff in the pull request:
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--- Diff: docs/running-on-mesos.md ---
@@ -3,19 +3,105 @@ layout: global
title: Running Spark on Mesos
---
-Spark can run on clusters
Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/756#discussion_r12570563
--- Diff: docs/running-on-mesos.md ---
@@ -3,19 +3,105 @@ layout: global
title: Running Spark on Mesos
---
-Spark can run on clusters
Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/756#discussion_r12570645
--- Diff: docs/running-on-mesos.md ---
@@ -3,19 +3,105 @@ layout: global
title: Running Spark on Mesos
---
-Spark can run on clusters
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Github user pwendell commented on the pull request:
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Made a few surface level comments - this is a great and much-needed update.
Thanks!
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Github user mateiz commented on the pull request:
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Jenkins, this is ok to test
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/446#issuecomment-42713490
test this please.
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GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/718
[SPARK-1768] History server enhancements.
Two improvements to the history server:
- Separate the HTTP handling from history fetching, so that it's easy to add
new backends later
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Github user asfgit closed the pull request at:
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/552#issuecomment-42450961
@ScrapCodes you'll need to merge this with master - unfortunately there was
another patch that renamed/moved some of the example files.
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--- Diff:
examples/src/main/scala/org/apache/spark/examples/mllib/MovieLensALS.scala ---
@@ -121,11 +157,14 @@ object MovieLensALS {
}
/**
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Github user ash211 commented on the pull request:
https://github.com/apache/spark/pull/756#issuecomment-42930878
cc: @ceteri -- we're updating the Spark documentation for running on Mesos.
Given your expertise with this setup (I believe you did the video and wrote
the docs below),
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/436#issuecomment-42933352
@pwendell On the subject of SPARK-1623, this PR / JIRA can also go in, in
my opinion. It's a related small good fix to a potential test problem. Then I
think both are
GitHub user ueshin opened a pull request:
https://github.com/apache/spark/pull/757
[SPARK-1819] [SQL] Fix GetField.nullable.
`GetField.nullable` should be `true` not only when `field.nullable` is
`true` but also when `child.nullable` is `true`.
You can merge this pull request into
Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/756#discussion_r12570602
--- Diff: docs/running-on-mesos.md ---
@@ -3,19 +3,105 @@ layout: global
title: Running Spark on Mesos
---
-Spark can run on clusters
Github user larvaboy commented on a diff in the pull request:
https://github.com/apache/spark/pull/737#discussion_r12574227
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregates.scala
---
@@ -269,6 +308,34 @@ case class CountFunction(expr:
Github user larvaboy commented on the pull request:
https://github.com/apache/spark/pull/737#issuecomment-42934624
All the review issues should have been fixed in the most recent version of
the code. Please let me know if I missed anything.
Thanks a lot for the quick
Github user larvaboy commented on a diff in the pull request:
https://github.com/apache/spark/pull/737#discussion_r12574394
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregates.scala
---
@@ -166,10 +167,48 @@ case class
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@@ -166,10 +167,48 @@ case class
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Github user maasg commented on a diff in the pull request:
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--- Diff: docs/running-on-mesos.md ---
@@ -3,19 +3,109 @@ layout: global
title: Running Spark on Mesos
---
-Spark can run on clusters managed
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Github user maasg commented on the pull request:
https://github.com/apache/spark/pull/756#issuecomment-42945385
Great work.
I'd love to see some more background of the dynamics of Spark running on
Mesos. It has been a tough learning experience to get our Spark + Spark
Streaming
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Github user ash211 commented on the pull request:
https://github.com/apache/spark/pull/756#issuecomment-42928672
Made changes to cover Patrick's suggestions.
I had some trouble getting LZO libraries accessible from the Mesos executor
and never actually got that working. Do
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Github user maasg commented on a diff in the pull request:
https://github.com/apache/spark/pull/756#discussion_r12578801
--- Diff: docs/running-on-mesos.md ---
@@ -25,31 +115,52 @@ val conf = new SparkConf()
val sc = new SparkContext(conf)
{% endhighlight %}
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https://github.com/apache/spark/pull/681#issuecomment-42443819
Can one of the admins verify this patch?
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Github user aarondav commented on the pull request:
https://github.com/apache/spark/pull/688#issuecomment-42507202
Should probably do this for sbt as well
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Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/736#issuecomment-42955215
@rxin I'm sorry I didn't got a link for that, but I didn't find any
discussion about performance issue of Iterator#size, either. I just checked the
source code of
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/732#issuecomment-42889334
Okay, i'll pull this in. If there was a reason to swallow exceptions then
we can add that back easily.
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Github user witgo closed the pull request at:
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Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/725#discussion_r12594375
--- Diff:
mllib/src/test/scala/org/apache/spark/mllib/classification/SVMSuite.scala ---
@@ -69,6 +69,43 @@ class SVMSuite extends FunSuite with
Github user mengxr commented on the pull request:
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ah, I made this ...
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Github user erikerlandson commented on the pull request:
https://github.com/apache/spark/pull/714#issuecomment-42983694
I coded up a proposal where SparkConf owns the checking inside of getInt(),
getDouble() and friends, described here:
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Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/736#issuecomment-42968273
This is not equivalent performance wise from casual look.
Even assuming everything is same, it is still invoking function in loop
versus direct addition.
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Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/758#discussion_r12598841
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala ---
@@ -143,20 +185,35 @@ case class HiveTableScan(
}
def
Github user marmbrus commented on a diff in the pull request:
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala ---
@@ -102,16 +105,55 @@ case class HiveTableScan(
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala ---
@@ -143,20 +185,35 @@ case class HiveTableScan(
}
def
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/758#discussion_r12598829
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala ---
@@ -143,20 +185,35 @@ case class HiveTableScan(
}
def
Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/758#issuecomment-42991927
Nice speed up! :)
I looked at the test failure. Looks like [this
Github user marmbrus commented on a diff in the pull request:
https://github.com/apache/spark/pull/758#discussion_r12598783
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/hiveOperators.scala ---
@@ -143,20 +185,35 @@ case class HiveTableScan(
}
def
GitHub user liancheng opened a pull request:
https://github.com/apache/spark/pull/758
[SPARK-1368][SQL] Optimized HiveTableScan
JIRA issue: [SPARK-1368](https://issues.apache.org/jira/browse/SPARK-1368)
This PR introduces two major updates:
- Replaced FP style code
Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/717#issuecomment-42992463
@willb can you also add a test case where an inline function is using
return statement in its closure to make sure that is allowed? e.g.
```scala
Github user ScrapCodes commented on a diff in the pull request:
https://github.com/apache/spark/pull/552#discussion_r12370101
--- Diff:
examples/src/main/java/org/apache/spark/examples/JavaLogQuery.java ---
@@ -98,15 +99,11 @@ public static Stats extractStats(String line) {
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/506#issuecomment-42990283
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GitHub user andrewor14 opened a pull request:
https://github.com/apache/spark/pull/759
[SPARK-1816] LiveListenerBus dies if a listener throws an exception
The solution is to wrap a try / catch / log around the posting of each
event to each listener.
You can merge this pull request
Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/759#issuecomment-42995350
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/670#issuecomment-42995335
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