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Github user zhzhan commented on the issue:
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@wangmiao1981 Thanks for reviewing this. I will open another PR solving
these comments soon.
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Github user scwf commented on the issue:
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ok, i will revert to the initial commit.
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Github user ueshin commented on the issue:
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@rxin I think the failure is not related to this PR.
The build for hadoop-2.2 is failing after reverted.
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -1486,10 +1485,10 @@ private[spark] object Utils extends Logging {
val gzInput
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Github user jerryshao commented on the issue:
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Seems it could be changed to `send` instead.
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Github user falaki commented on the issue:
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@shivaram it was indeed my fault. I did not run local tests after I added
the heartbeat. I am now using +1 for heartbeat.
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Github user cloud-fan commented on the issue:
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@rxin this depends on how often we will debug for branch 2.0 in the future
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--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -1486,10 +1485,10 @@ private[spark] object Utils extends Logging {
val gzInp
Github user cloud-fan commented on the issue:
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retest this please
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Github user falaki commented on the issue:
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Thanks @wangmiao1981. I thin it is best to file a separate JIRA for this
issue. Thanks a lot for catching it.
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I am merging this.
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I am merging this.
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Github user jodersky commented on the issue:
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no objections from me ;)
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GitHub user ericl opened a pull request:
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[SPARK-17994] [SQL] Add back a file status cache for catalog tables
## What changes were proposed in this pull request?
In SPARK-16980, we removed the full in-memory cache of table partitions
Github user mateiz commented on a diff in the pull request:
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--- Diff:
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@@ -75,9 +75,11 @@ class KryoSerializerSuite extends SparkFunSuite wit
Github user mateiz commented on the issue:
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Looks pretty good overall! I made two small comments but it seems
worthwhile to add in and it's not a huge change.
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--- Diff:
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@@ -78,8 +79,14 @@ class KryoSerializer(conf: SparkConf)
.filter(!
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GitHub user mallman opened a pull request:
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[SPARK-17993][SQL] Fix Parquet log output redirection
(Link to Jira issue: https://issues.apache.org/jira/browse/SPARK-17993)
## What changes were proposed in this pull request?
PR
Github user ajbozarth commented on the issue:
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Jenkins, retest this please
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Github user wangmiao1981 commented on the issue:
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Master Branch:
16/10/18 16:10:15 ERROR Executor: Exception in task 0.0 in stage 1.0 (TID 1)
java.lang.NegativeArraySizeException
at org.apache.spark.api.r.SerDe$.readStringBy
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--- Diff: core/src/main/scala/org/apache/spark/rdd/RDD.scala ---
@@ -1589,7 +1589,8 @@ abstract class RDD[T: ClassTag](
* This is introduced as an alias
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Github user HyukjinKwon commented on the issue:
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Thank you both. Will adress the comments soon.
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Github user ajbozarth commented on the issue:
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The dir is actually already displayed so I just added a few words to
clarify that the current setting is displayed above.
**
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Github user zsxwing commented on a diff in the pull request:
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--- Diff:
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---
@@ -336,17 +342,27 @@ class StreamExecution(
}
Github user zsxwing commented on a diff in the pull request:
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--- Diff:
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---
@@ -336,17 +342,27 @@ class StreamExecution(
}
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--- Diff:
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@@ -30,16 +30,30 @@ trait Source {
/** Returns the schem
Github user zsxwing commented on the issue:
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LGTM pending tests
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Github user sethah commented on the issue:
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@itg-abby I see what you're going for, but I don't think it's a great idea
in general. For many operations on sparse vectors, we should not materialize
the sparse vector as dense. I'm not sure if it'
Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15218#discussion_r83963294
--- Diff:
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@@ -250,24 +263,26 @@ private[spark] class TaskSchedulerImpl(
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskAssigner.scala
---
@@ -0,0 +1,151 @@
+/*
+ * Licensed to the Apache Software Founda
GitHub user loneknightpy opened a pull request:
https://github.com/apache/spark/pull/15537
[SPARK-17711] [test-hadoop2.2] Fix hadoop2.2 compilation error
## What changes were proposed in this pull request?
Fix hadoop2.2 compilation error.
## How was this patch teste
Github user falaki commented on the issue:
https://github.com/apache/spark/pull/15421
@wangmiao1981 would you please also test the master branch?
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskAssigner.scala
---
@@ -0,0 +1,154 @@
+/*
+ * Licensed to the Apache Software Founda
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I cancelled previous jenkins tests, hence the failures.
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Github user zsxwing commented on the issue:
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This one breaks hadoop-2.2 builds:
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Github user ajbozarth commented on the issue:
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@rxin The reds only show up on failed tasks or a high gc time, what would
you expect from each color? Also this was a while ago (and one of my first prs)
so I'm willing to revisit how this was don
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Github user rxin commented on the issue:
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So I looked at the UI today and I have to say the color code is *extremely
confusing*. On a normal cluster I saw a bunch of reds, which is usually
reserved for errors.
(I'm going to leave
Github user asfgit closed the pull request at:
https://github.com/apache/spark/pull/15445
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Github user davies commented on the issue:
https://github.com/apache/spark/pull/15445
@viirya That's good point, javaToPython can only used for known types that
could deserialized in Java (for example, some types in sql and ml), this PR
make better sense.
Merging this into ma
Github user jodersky commented on the issue:
https://github.com/apache/spark/pull/15398
Agreed, I'll update the regex parsing to copy Hive's behaviour
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Github user mridulm commented on the issue:
https://github.com/apache/spark/pull/15481
@zsxwing Ah, then simply making it send() instead of askWithRetry() should
do, no ?
That was actually in the initial PR - I was not sure if we want to change
the behavior from askWithRetry to se
Github user ajbozarth commented on the issue:
https://github.com/apache/spark/pull/15536
This is a purely aesthetic update as the lines already show the exact time,
but given jobs are shown as ranges the executor bubbles center alignment on the
line was confusing visually for some.
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15536
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Github user yhuai commented on the issue:
https://github.com/apache/spark/pull/15274
@DanielMe oh, I see. `get_json_object` will not parse json array. You need
to have a UDF to do that for Spark 1.6.
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Github user zsxwing commented on the issue:
https://github.com/apache/spark/pull/15481
> reset is called in YarnSchedulerEndpoint which ideally should not be a
blocking action.
I'm wondering if we can also fix this.
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GitHub user ajbozarth opened a pull request:
https://github.com/apache/spark/pull/15536
[SPARK-13275] [Web UI] Visually clarified executors start time in timeline
## What changes were proposed in this pull request?
Updated the Executors added/removed bubble in the time line
Github user mridulm commented on the issue:
https://github.com/apache/spark/pull/15481
@scwf I think the initial fix with a small change might be sufficient.
What I meant was something like this :
```
protected def reset(): Unit = {
val executors = synchroniz
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15535
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