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Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala ---
@@ -17,7 +17,7 @@
package org.apache.spark.sql.hive
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/logical/commands.scala
---
@@ -60,3 +60,16 @@ case class ExplainCommand(plan:
Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
---
@@ -257,6 +250,88 @@ class HiveQuerySuite extends
Github user rxin commented on a diff in the pull request:
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--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveStrategies.scala ---
@@ -81,6 +81,20 @@ private[hive] trait HiveStrategies {
def
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala ---
@@ -362,13 +367,19 @@ private[hive] object HiveQl {
}
}
+
Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/917#issuecomment-46526650
(Looks like this needs a rebase?)
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--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala ---
@@ -362,13 +367,19 @@ private[hive] object HiveQl {
}
}
+
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Github user mengxr commented on the pull request:
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Jenkins, retest this please.
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Github user ash211 commented on the pull request:
https://github.com/apache/spark/pull/1019#issuecomment-46527409
I found this JETTY bug which is a potential improvement they could make.
https://jira.codehaus.org/browse/JETTY-1229
Updates to this PR forthcoming
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Github user dongwang218 commented on the pull request:
https://github.com/apache/spark/pull/643#issuecomment-46527471
@mengxr, per your comments on stochastic update performance:
1. Training data are reordered. The effect on runtime is quite small.
2. Regularize weights after
Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/1105#issuecomment-46527438
Thanks, merged into master.
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Github user asfgit closed the pull request at:
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Github user ash211 commented on the pull request:
https://github.com/apache/spark/pull/1019#issuecomment-46527678
Latest iteration:
14/06/19 02:28:27 WARN JettyUtils: Failed to create UI on port :4040.
Trying again on port :4041 - Failure(java.net.BindException: Address
Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/1019#discussion_r13955026
--- Diff: conf/log4j.properties.template ---
@@ -6,6 +6,6 @@ log4j.appender.console.layout=org.apache.log4j.PatternLayout
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--- Diff: conf/log4j.properties.template ---
@@ -6,6 +6,6 @@ log4j.appender.console.layout=org.apache.log4j.PatternLayout
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Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/1124#discussion_r13955115
--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -212,7 +208,12 @@ private[spark] class Executor(
val
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Jenkins, retest this please.
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Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/1124#discussion_r13955220
--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -212,7 +208,12 @@ private[spark] class Executor(
val
Github user ash211 commented on a diff in the pull request:
https://github.com/apache/spark/pull/1107#discussion_r13955228
--- Diff: core/src/main/scala/org/apache/spark/HttpServer.scala ---
@@ -41,45 +41,73 @@ private[spark] class ServerStateException(message:
String) extends
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Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/1124#discussion_r13955317
--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -212,7 +208,12 @@ private[spark] class Executor(
val
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/1118#discussion_r13955335
--- Diff: sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveQl.scala ---
@@ -120,6 +119,12 @@ private[hive] object HiveQl {
TOK_SWITCHDATABASE
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/940#issuecomment-46529144
@nevillelyh Is there a JIRA for it? Is it fixed in 0.8.1?
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Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/999#issuecomment-46529253
Ah yeah, this might not have been super clear, but this has at least been
my assumption. We do want to make both SQL and GraphX be non-alpha soon though,
perhaps as early
Github user mateiz commented on a diff in the pull request:
https://github.com/apache/spark/pull/1064#discussion_r13955604
--- Diff:
core/src/main/scala/org/apache/spark/shuffle/hash/HashShuffleReader.scala ---
@@ -31,10 +31,24 @@ class HashShuffleReader[K, C](
Github user mateiz commented on the pull request:
https://github.com/apache/spark/pull/1064#issuecomment-46529414
Hey, sorry, been a bit busy lately but I will take a look soon. At a quick
glance it looks pretty good.
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Github user kayousterhout commented on the pull request:
https://github.com/apache/spark/pull/1124#issuecomment-46529444
So this can make performance worse for folks that set spark.akka.frameSize
in the SparkConf that's on the executor to be higher, right, because this
commit means
GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/1129
[SPARK-2191][SQL] Make sure InsertIntoHiveTable doesn't execute more than
once.
You can merge this pull request into a Git repository by running:
$ git pull
Github user kayousterhout commented on a diff in the pull request:
https://github.com/apache/spark/pull/1124#discussion_r13955665
--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -212,7 +208,12 @@ private[spark] class Executor(
val
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Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/1019#discussion_r13955854
--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -194,11 +194,16 @@ private[spark] object JettyUtils extends Logging {
Github user pwendell commented on a diff in the pull request:
https://github.com/apache/spark/pull/1019#discussion_r13955863
--- Diff: core/src/main/scala/org/apache/spark/ui/JettyUtils.scala ---
@@ -194,11 +194,16 @@ private[spark] object JettyUtils extends Logging {
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1124#issuecomment-46530221
For the first scenario, it won't make the performance worse because the
system doesn't really work now for serialized task result of size between 10M
and
Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/1019#issuecomment-46530285
Two minor things. I can just fix them on merging this if it otherwise
passes tests (of course, unless you strongly prefer saying `port :4040` instead
of `port 4040`.
Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/1124#issuecomment-46530379
@mengxr I think the scenario is where people have set SPARK_JAVA_OPTS in
`spark-env` and copied this to all of the nodes. In that case, the
configuration will be
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Github user pwendell commented on the pull request:
https://github.com/apache/spark/pull/1124#issuecomment-46530520
@mengxr this actually hung up while running tests:
```
[info] MapOutputTrackerSuite:
[info] - compressSize
[info] - decompressSize
[info] -
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1124#issuecomment-46531328
I don't get it. As long as the actor systems are created from
AkkaUtils.createActorSystem, the minimum value of the max frame size is 10M.
All unit tests passed on
Github user kayousterhout commented on the pull request:
https://github.com/apache/spark/pull/1124#issuecomment-46531448
I see -- you're right about the min frame size. @pwendell was talking
about the first case, where I think the config parameter is currently being
correctly
GitHub user marmbrus opened a pull request:
https://github.com/apache/spark/pull/1130
[SQL] Improve Speed of InsertIntoHiveTable
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/marmbrus/spark noFunctional
Alternatively you can
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Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1124#issuecomment-46531776
Just tested `- 1024` in `SchedulerBackend`. The system did hang up when the
task size is close to 10M - 1024 ...
~~~
scala val random = new
Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/791#issuecomment-46532970
did a manual merge :)
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Github user rxin commented on the pull request:
https://github.com/apache/spark/pull/1118#issuecomment-46534190
hmmm a lot of tests are failing because the output doesn't match exactly
Hive's ...
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GitHub user li-zhihui opened a pull request:
https://github.com/apache/spark/pull/1131
[SPARK-2193] Improve tasks preferrd locality by sorting tasks partial or...
Now, the last executor(s) maybe not get itâs preferred task(s), although
these tasks have build in
Github user AmplabJenkins commented on the pull request:
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Can one of the admins verify this patch?
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Github user WangTaoTheTonic commented on the pull request:
https://github.com/apache/spark/pull/1106#issuecomment-46536007
Make it short, the commit will better balance the load strategy when there
comes a lot of drivers, while not result in bad performance when drivers is
few as
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Github user mridulm commented on the pull request:
https://github.com/apache/spark/pull/1131#issuecomment-46537074
A preferred task for one worker might be picked up by another worker on
process/node/rack only if they are at the same locality level : in which case,
it is irrelevant
Github user xiajunluan commented on the pull request:
https://github.com/apache/spark/pull/1113#issuecomment-46537162
you could open a JIRA issue to describe you request.
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Github user li-zhihui commented on the pull request:
https://github.com/apache/spark/pull/1131#issuecomment-46540777
@mridulm
for example:
2 tasks(task_x, task_y), 2 executors(host1, host2)
task_x.preferredLocations = [host2, host3, host1]
task_y.preferredLocations =
GitHub user mengxr opened a pull request:
https://github.com/apache/spark/pull/1132
[SPARK-1112, 2156] Bootstrap to fetch the driver's Spark properties.
This is an alternative solution to #1124 . Before launching the executor
backend, we first fetch driver's spark properties and
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/1124#issuecomment-46541699
@pwendell @kayousterhout I put an alternative solution in #1132 . Please
let me know which do you prefer.
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GitHub user ueshin opened a pull request:
https://github.com/apache/spark/pull/1133
[SPARK-2196] [SQL] Fix nullability of CaseWhen.
`CaseWhen` should use `branches.length` to check if `elseValue` is provided
or not.
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