Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/5079#issuecomment-83359940
The tests in 2 PRs are different, this PR is about the UDF jar, but #4586
is the SerDe jar. They may be loaded by difference class loader.
@jeanlyn can
Github user aarondav commented on the pull request:
https://github.com/apache/spark/pull/5004#issuecomment-83369196
Cool, merging this into master. Thanks!
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Github user adrian-wang commented on the pull request:
https://github.com/apache/spark/pull/5079#issuecomment-83372666
@jeanlyn we are not getting same thing. Even our .q file differs. I don't
have CHAR in my .q file.
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Github user viirya commented on the pull request:
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@marmbrus I have updated the design on the JIRA.
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Github user jeanlyn commented on the pull request:
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@chenghao-intel my full code is
```java
import org.apache.hadoop.hive.ql.exec.UDF;
public class hello extends UDF {
public String evaluate(String
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Github user jeanlyn commented on the pull request:
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I also don't have CHAR in `mapjoin_addjar.q`. I only find one
`mapjoin_addjar.q`,and the path of my file is
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--- Diff:
core/src/main/scala/org/apache/spark/executor/CommitDeniedException.scala ---
@@ -22,14 +22,12 @@ import org.apache.spark.{TaskCommitDenied,
Github user srowen commented on the pull request:
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OK I am convinced, merge it. I think both hive profiles are needed in this
example?
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--- Diff: core/src/main/scala/org/apache/spark/executor/Executor.scala ---
@@ -156,12 +160,19 @@ private[spark] class Executor(
serializedTask:
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Github user debasish83 commented on the pull request:
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yeah if it can be parallelized by data it's best to do that and not do any
graphx joins because for graphx the painful thing is to balance the graph and
most of the
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Github user coderxiang commented on the pull request:
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@rxin @mengxr per the comments, I created `MLPairRDDFunctions.scala` and
moved the function there in the update.
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LGTM.
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GitHub user marsishandsome opened a pull request:
https://github.com/apache/spark/pull/5095
Driver's Block Manager does not use spark.driver.host in Yarn-Client mode
In my cluster, the yarn node does not know the client's host name.
So I set spark.driver.host to the ip address
Github user JoshRosen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5096#discussion_r26809195
--- Diff: core/src/main/scala/org/apache/spark/api/r/RRDD.scala ---
@@ -0,0 +1,515 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under
Github user chenghao-intel commented on the pull request:
https://github.com/apache/spark/pull/4685#issuecomment-83823596
@kai-zeng in `HiveTypeCoercion`, there are lots of rules to
guarantee/produce the correct data type for the built-in expressions like here.
I mean, instead of
GitHub user nishkamravi2 reopened a pull request:
https://github.com/apache/spark/pull/5085
[SPARK-6406] Launcher backward compatibility issue-- hadoop should not be
mandatory in spark assembly name
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Github user nishkamravi2 commented on the pull request:
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And btw, we need to check this in
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Github user liancheng commented on the pull request:
https://github.com/apache/spark/pull/3980#issuecomment-83797419
@srowen Don't worry, I'm gradually merging changes of this PR to #4851. An
[experimental Jenkins builder] [1] was also set up for this. These are still
WiP because
Github user liancheng closed the pull request at:
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Github user davies commented on the pull request:
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Close this one, will open an new one by @shivaram
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Github user JoshRosen commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/api/r/RBackend.scala ---
@@ -0,0 +1,145 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
Github user JoshRosen commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/api/r/RBackend.scala ---
@@ -0,0 +1,145 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF)
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Github user nishkamravi2 commented on the pull request:
https://github.com/apache/spark/pull/5085#issuecomment-83824416
Please ignore the comment above (I misread the regex). However, we do need
to relax the check on hadoop. CDH itself names the outermost jar
spark-assembly.jar. As
GitHub user mbonaci opened a pull request:
https://github.com/apache/spark/pull/5097
[SPARK-6370][core] Documentation: Improve all 3 docs for RDD.sample
The docs for the `sample` method were insufficient, now less so.
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Github user shivaram commented on the pull request:
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@pwendell @rxin We might push some more fixes as they come in, but I think
this should be ready for review
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Sorry, clicked on the close button in error.
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Github user rxin commented on a diff in the pull request:
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--- Diff: graphx/src/main/scala/org/apache/spark/graphx/VertexRDD.scala ---
@@ -128,7 +128,7 @@ abstract class VertexRDD[VD](
*
* @param other
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Github user srowen commented on a diff in the pull request:
https://github.com/apache/spark/pull/5075#discussion_r26805662
--- Diff: core/src/main/scala/org/apache/spark/rdd/PairRDDFunctions.scala
---
@@ -163,6 +163,28 @@ class PairRDDFunctions[K, V](self: RDD[(K, V)])
}
GitHub user shivaram opened a pull request:
https://github.com/apache/spark/pull/5096
[SPARK-5654] Integrate SparkR
This pull requests integrates SparkR, an R frontend for Spark. The SparkR
package contains both RDD and DataFrame APIs in R and is integrated with
Spark's submission
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--- Diff: core/src/main/scala/org/apache/spark/api/r/RBackendHandler.scala
---
@@ -0,0 +1,222 @@
+/*
+ * Licensed to the Apache Software Foundation
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https://github.com/apache/spark/pull/4685#discussion_r26810586
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/arithmetic.scala
---
@@ -18,21 +18,28 @@
package
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GitHub user yhuai opened a pull request:
https://github.com/apache/spark/pull/5094
[SPARK-6367][SQL] Use the proper data type for those expressions that are
hijacking existing data types.
This PR adds internal UDTs for expressions that are hijacking existing data
types.
The
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@@ -0,0 +1,515 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under
Github user dragos commented on the pull request:
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LGTM, FWIW :)
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--- Diff: yarn/src/main/scala/org/apache/spark/deploy/yarn/Client.scala ---
@@ -903,6 +908,30 @@ object Client extends Logging {
}
/**
Github user kdatta commented on the pull request:
https://github.com/apache/spark/pull/3234#issuecomment-83823758
I had to add the Junit dependency in graphx/pom.xml to compile. Did you see
this issue? We might have to update the pom file.
-Kushal.
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--- Diff:
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@@ -151,7 +152,15 @@ class TestHiveContext(sc: SparkContext)
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Github user tanyinyan commented on the pull request:
https://github.com/apache/spark/pull/5055#issuecomment-83407453
Yesï¼I have made this constructor and setter public
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Github user advancedxy commented on the pull request:
https://github.com/apache/spark/pull/4783#issuecomment-83410489
@shivaram @srowen Tuple2(Int, Int) got specialized to Tuple2$mcII$sp class.
But the Tuple2$mcII$sp is a subclass of Tuple2. So in our implementation, the
specialized
GitHub user jongyoul opened a pull request:
https://github.com/apache/spark/pull/5088
[SPARK-6286][Mesos][minor] Handle missing Mesos case TASK_ERROR
- Made TaskState.isFailed for handling TASK_LOST and TASK_ERROR and
synchronizing CoarseMesosSchedulerBackend and
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https://github.com/apache/spark/pull/4610#issuecomment-83399347
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GitHub user ypcat opened a pull request:
https://github.com/apache/spark/pull/5087
[SPARK-6408] [SQL] Fix JDBCRDD filtering string literals
You can merge this pull request into a Git repository by running:
$ git pull https://github.com/ypcat/spark spark-6408
Alternatively
Github user haiyangsea commented on the pull request:
https://github.com/apache/spark/pull/5082#issuecomment-83411727
It looks like a greate feature!
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Github user suyanNone commented on the pull request:
https://github.com/apache/spark/pull/4055#issuecomment-83422662
This patch is forgotten by us...
@srowen @markhamstra @kayousterhout
this patch can prevent from endless retry which may occurs after a
executor is killed or
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