Github user rxin commented on a diff in the pull request:
https://github.com/apache/spark/pull/15532#discussion_r83930227
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/collectionOperations.scala
---
@@ -124,7 +124,14 @@ case class SortArray(base:
Github user ericl commented on the issue:
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Jenkins test this please
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Github user kiszk commented on the issue:
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@ericl thank you very much
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Github user tdas commented on the issue:
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LGTM. Merging to master and 2.0
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Github user davies commented on the issue:
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Merging this into master, thanks!
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Github user weiqingy commented on a diff in the pull request:
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--- Diff: docs/sql-programming-guide.md ---
@@ -422,8 +422,8 @@ In the simplest form, the default data source
(`parquet` unless otherwise config
You ca
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Github user rxin commented on the issue:
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cc @cloud-fan
This looks good to me -- but I don't remember why we didn't merge it
earlier already.
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Github user itg-abby commented on the issue:
https://github.com/apache/spark/pull/15496
It is possible that I am missing something or that I have unintentionally
obfuscated this pull request, I will try summarizing my understanding/purpose
and see if it sheds any light:
Dense
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Github user rxin commented on the issue:
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The user can track this pretty easily themselves, can't they?
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Github user rxin commented on the issue:
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Merging in master. Thanks.
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Merging in master.
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Merging in master/branch-2.0. Thanks!
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Github user davies commented on the issue:
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cc @JoshRosen
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Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/15481#discussion_r83946120
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/CoarseGrainedSchedulerBackend.scala
---
@@ -392,9 +392,23 @@ class CoarseGrainedSchedulerBa
Github user zsxwing commented on a diff in the pull request:
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--- Diff:
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---
@@ -92,19 +92,19 @@ class CoarseGrainedSchedulerBac
Github user zsxwing commented on the issue:
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LGTM. Merging to master. Thanks!
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Github user rxin commented on the issue:
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Merging in master. Thanks.
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GitHub user tdas opened a pull request:
https://github.com/apache/spark/pull/15535
[SPARK-17731][SQL][STREAMING][FOLLOWUP] Refactored StreamingQueryListener
APIs for branch-2.0
This is the branch-2.0 PR of #15530 to make the APIs consistent with the
master. Since these APIs are exp
Github user asfgit closed the pull request at:
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Github user gatorsmile commented on the issue:
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Thanks! Close it now
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Github user SparkQA commented on the issue:
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Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15450
I don't feel strongly either way, but I don't like the potential of this:
scala
model.getK
scala> 3
model.clusterCenters.length
scala> 1
Should we conside
Github user tdas commented on the issue:
https://github.com/apache/spark/pull/15530
@rxin Can you take a look once again.
Note that there is a separate PR for the same changes in branch-2.0 (with
different Mima excludes) - https://github.com/apache/spark/pull/15535/files
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/15525
Actually I'm seeing the following exceptions locally as well as on Jenkins
for Hadoop 2.2:
```
[error]
/scratch/rxin/spark/core/src/main/scala/org/apache/spark/util/Utils.scala:1489:
valu
Github user rxin commented on the issue:
https://github.com/apache/spark/pull/15535
LGTM
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Github user drewrobb commented on the issue:
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@yanboliang would you be able to review this patch?
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Github user rxin commented on the issue:
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LGTM
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Github user rxin commented on the issue:
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Thanks for the explanation. Merging in master/branch-2.0.
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Github user ajbozarth commented on a diff in the pull request:
https://github.com/apache/spark/pull/15490#discussion_r83950235
--- Diff:
core/src/main/scala/org/apache/spark/deploy/history/FsHistoryProvider.scala ---
@@ -262,6 +263,17 @@ private[history] class FsHistoryProvider(con
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LGTM
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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 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 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 yhuai commented on the issue:
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@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 ajbozarth commented on the issue:
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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 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:
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@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 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
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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 SparkQA commented on the issue:
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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
Github user zsxwing commented on the issue:
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This one breaks hadoop-2.2 builds:
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Github user tdas commented on the issue:
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I cancelled previous jenkins tests, hence the failures.
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Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15218#discussion_r83961053
--- 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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Github user falaki commented on the issue:
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@wangmiao1981 would you please also test the master branch?
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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 wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15218#discussion_r83962588
--- Diff: core/src/main/scala/org/apache/spark/scheduler/TaskAssigner.scala
---
@@ -0,0 +1,151 @@
+/*
+ * Licensed to the Apache Software Founda
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Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/15218#discussion_r83963294
--- Diff:
core/src/main/scala/org/apache/spark/scheduler/TaskSchedulerImpl.scala ---
@@ -250,24 +263,26 @@ private[spark] class TaskSchedulerImpl(
Github user sethah commented on the issue:
https://github.com/apache/spark/pull/15496
@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 zsxwing commented on the issue:
https://github.com/apache/spark/pull/15537
LGTM pending tests
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Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/14553#discussion_r83953473
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/Source.scala
---
@@ -30,16 +30,30 @@ trait Source {
/** Returns the schem
Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/14553#discussion_r83965312
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala
---
@@ -336,17 +342,27 @@ class StreamExecution(
}
Github user zsxwing commented on a diff in the pull request:
https://github.com/apache/spark/pull/14553#discussion_r83965244
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/execution/streaming/StreamExecution.scala
---
@@ -336,17 +342,27 @@ class StreamExecution(
}
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/15398
**[Test build #67147 has
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/67147/consoleFull)**
for PR 15398 at commit
[`85a3a38`](https://github.com/apache/spark/commit/8
Github user ajbozarth commented on the issue:
https://github.com/apache/spark/pull/15490
The dir is actually already displayed so I just added a few words to
clarify that the current setting is displayed above.
**
for PR 15530 at commit
[`0257b9e`](https://github.com/apache/spark/commit/
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