Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/4690#issuecomment-75016363
No, this was already fixed in
https://github.com/apache/spark/commit/49c19fdbad57f0609bbcc9278f9eaa8115a73604
I don't think you have that commit yet here. The problem is
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/4690#issuecomment-75019602
Ah right. I was glancing at the number of commits and thought it hadn't
been rebased. The problem isn't this shutdown hook but another one in
`yarn.ApplicationMaster`.
Github user nishkamravi2 commented on the pull request:
https://github.com/apache/spark/pull/4690#issuecomment-75020545
Agreed. That's why a try-catch block seems enough for this one. Ok with
removing logging.
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Github user watermen commented on the pull request:
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@yhuai Can you review it?
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I have that commit. The problem continues to manifest itself. This is a
workaround, not a fix at the source. I don't think the fix is trivial.
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Github user andrewor14 commented on the pull request:
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retest this please
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Github user marmbrus commented on the pull request:
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ok to test
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Github user marmbrus commented on the pull request:
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/cc @liancheng
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Github user srowen commented on the pull request:
https://github.com/apache/spark/pull/4611#issuecomment-75128516
@andrewor14 Ah! right of course. I looked right past that. Yes that's a
good change then.
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Github user srowen commented on the pull request:
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@zhzhan the problem is not creating 'alpha' features, but consuming them
from elsewhere. These APIs don't exist at all until recent versions of YARN, so
Spark needs
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4460#issuecomment-75129379
I'm OK with a type hierarchy as long as it stays simple (and doesn't turn
into a type system parallel to the DataFrame system).
To support any type of
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4686#issuecomment-75129950
Btw, this fixed my issue with Java examples using DataFrame
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Github user marmbrus commented on the pull request:
https://github.com/apache/spark/pull/4693#issuecomment-75130162
There is no reason to allow custom kryo registration. The SQL serializer
is only ever used to serialize SQL types. Have you seen some bug with us
missing a type?
Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/1462#discussion_r25022847
--- Diff: docs/configuration.md ---
@@ -831,7 +831,7 @@ Apart from these, the following properties are also
available, and may be useful
td0/td
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/1462#issuecomment-75130879
@pwendell @kayousterhout what is the verdict of this? Should we just remove
the ratio altogether? What about backward compatibility?
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Github user mengxr commented on the pull request:
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If we return a `JavaPairRDD`, the user code looks like the following:
~~~
for (Tuple2Long, Int assignment: assignments.collect()) {
... assignment._1()
Github user davies commented on the pull request:
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LGTM
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Github user andrewor14 commented on the pull request:
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@srowen it actually does a `=~` which should be equivalent to a grep:
```
if [[ abc =~ abc ]]; then echo woohoo; fi # woohoo
if [[ ffabc =~ abc ]]; then
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Github user jkbradley commented on the pull request:
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For PIC, the names Assignment / id / cluster sound good to me. Those would
be applicable to other clustering methods if ever needed. Assignment is a
little generic,
Github user zhzhan commented on the pull request:
https://github.com/apache/spark/pull/4683#issuecomment-75124964
@srowen Yarn timeline is in alpha phase, but hadoop is embracing it as it
provides a lot of extra functionalities. I will upload the patch and design
doc to the JIRA.
Github user harishreedharan commented on the pull request:
https://github.com/apache/spark/pull/4688#issuecomment-75124862
Jenkins, retest this
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Github user asfgit closed the pull request at:
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Github user jkbradley commented on the pull request:
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LGTM except for that one comment
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Github user jkbradley commented on the pull request:
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@mbofb Thanks for noticing the issues with rows and cols documentation!
I'll follow that JIRA.
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--- Diff: docs/mllib-frequent-pattern-mining.md ---
@@ -74,11 +74,12 @@ Calling `FPGrowth.run` with transactions returns an
that stores the frequent
Github user jkbradley commented on the pull request:
https://github.com/apache/spark/pull/4695#issuecomment-75125659
Yeah, after reading the code, I like the special classes since the field
names make the code more legible.
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/4150#issuecomment-75131653
Hi @shenh062326 since this is a duplicate would you mind closing this PR?
The associated JIRA is already closed. Thanks.
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Github user andrewor14 commented on a diff in the pull request:
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--- Diff:
core/src/main/scala/org/apache/spark/scheduler/cluster/mesos/MesosSchedulerBackend.scala
---
@@ -62,6 +62,11 @@ private[spark] class
Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/4027#issuecomment-75131737
Hey @tnachen can you add `[Mesos]` to the title?
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Github user mengxr commented on the pull request:
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Merged into master and branch-1.3. Thanks!
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Github user andrewor14 commented on the pull request:
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Hey @lawlerd this seems to be superseded by #4420. Would you mind closing
this PR? Please follow the latest discussion there.
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Github user ilganeli commented on the pull request:
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Hi @andrewor14 - Can you please review the language for the other driver
options and let me know if you agree with it? Thanks!
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--- Diff: core/src/main/scala/org/apache/spark/util/Clock.scala ---
@@ -21,9 +21,36 @@ package org.apache.spark.util
* An interface to represent clocks,
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Mind closing this now?
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Github user liancheng commented on a diff in the pull request:
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/CacheManager.scala
---
@@ -39,7 +39,7 @@ private case class CachedData(plan: LogicalPlan,
Github user liancheng commented on the pull request:
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This PR also added a `CLEAR CACHE` statement, would be good to add this in
the PR description.
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@@ -280,4 +280,43 @@ class CachedTableSuite extends QueryTest {
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SparkSQLParser.scala
---
@@ -74,9 +75,15 @@ private[sql] class SparkSQLParser(fallback: String =
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/SQLContext.scala ---
@@ -888,6 +893,13 @@ class SQLContext(@transient val sparkContext:
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ok to test
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Github user MechCoder commented on the pull request:
https://github.com/apache/spark/pull/4677#issuecomment-75026265
@jkbradley I have fixed up your comments.
Btw, why are there are both a train and a run, which seems to me do the
same thing. Is it not better to have one way
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--- Diff:
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@@ -148,7 +148,13 @@ private[spark] class DiskBlockManager(blockManager:
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--- Diff: sbin/spark-daemon.sh ---
@@ -169,6 +169,7 @@ case $option in
if [[ $(ps -p $TARGET_ID -o args=) =~ $command ]]; then
echo
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GitHub user watermen reopened a pull request:
https://github.com/apache/spark/pull/4427
[SPARK-5651][SQL] Add input64 in blacklist and add test suit for create
table within backticks
Now spark version is only support
```create table table_in_database_creation.test1 as select *
Github user watermen commented on the pull request:
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@marmbrus can you
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Github user AmplabJenkins commented on the pull request:
https://github.com/apache/spark/pull/4693#issuecomment-75075748
Can one of the admins verify this patch?
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