Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/9634#discussion_r44569414
--- Diff:
sql/core/src/main/scala/org/apache/spark/sql/sources/interfaces.scala ---
@@ -236,8 +236,8 @@ abstract class BaseRelation {
/**
*
Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/9237#issuecomment-155874897
I'm on Linux; that's really weird, because the Linux behavior is how I
expect `SO_REUSEADDR` to work. From `man 7 socket`:
When the listening socket is bound
Github user yhuai commented on a diff in the pull request:
https://github.com/apache/spark/pull/9634#discussion_r44569324
--- Diff:
sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFilterSuite.scala
---
@@ -336,4 +336,29 @@ class ParquetFilterSuite
GitHub user yhuai opened a pull request:
https://github.com/apache/spark/pull/9634
[SPARK-11661] [SQL] Still pushdown filters returned by unhandledFilters.
https://issues.apache.org/jira/browse/SPARK-11661
You can merge this pull request into a Git repository by running:
$ git
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Github user vanzin commented on the pull request:
https://github.com/apache/spark/pull/9624#issuecomment-155874229
I don't really know what's the source of the problem. My best guess is some
incompatibility between the version of ivy embedded in sbt and the version of
ivy used by Spar
Github user reggert commented on a diff in the pull request:
https://github.com/apache/spark/pull/9264#discussion_r44568927
--- Diff: core/src/main/scala/org/apache/spark/FutureAction.scala ---
@@ -116,57 +119,26 @@ class SimpleFutureAction[T] private[spark](jobWaiter:
JobWaiter[_]
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--- Diff: core/src/main/scala/org/apache/spark/FutureAction.scala ---
@@ -229,28 +183,15 @@ class ComplexFutureAction[T] extends FutureAction[T] {
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Github user jacek-lewandowski commented on the pull request:
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jenkins, test this please
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Github user aray commented on the pull request:
https://github.com/apache/spark/pull/7841#issuecomment-155871674
@yhuai RE your questions (3 was already addressed above):
>1. Should we always ask users to provide pivot values?
The argument for not requiring values I think is con
Github user reggert commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/rdd/AsyncRDDActions.scala ---
@@ -66,14 +65,22 @@ class AsyncRDDActions[T: ClassTag](self: RDD[T])
extends Seri
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Github user JoshRosen commented on the pull request:
https://github.com/apache/spark/pull/9624#issuecomment-155870366
Do you know what the origin of the problem is? Is it a concurrency or
locking bug in Spark? There are many applications which use Ivy that don't run
into these problem
Github user brkyvz commented on the pull request:
https://github.com/apache/spark/pull/9367#issuecomment-155869908
My vote is with (3). I feel it requires the least amount of new code that
you have to write and is more maintainable.
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Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/9264#discussion_r44567088
--- Diff: core/src/main/scala/org/apache/spark/FutureAction.scala ---
@@ -116,57 +119,26 @@ class SimpleFutureAction[T] private[spark](jobWaiter:
JobWaiter
Github user mengxr commented on the pull request:
https://github.com/apache/spark/pull/9320#issuecomment-155869334
@yinxusen Let's take a safe approach. Remove the link but leave the text:
~~~
Find full example code at examples/src/main/#{clean_markup} in the Spark
repo.
Github user aray commented on a diff in the pull request:
https://github.com/apache/spark/pull/7841#discussion_r44566886
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/GroupedData.scala ---
@@ -273,6 +280,60 @@ class GroupedData protected[sql](
def sum(colNames: Strin
Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/9264#discussion_r44567004
--- Diff: core/src/main/scala/org/apache/spark/FutureAction.scala ---
@@ -116,57 +119,26 @@ class SimpleFutureAction[T] private[spark](jobWaiter:
JobWaiter
Github user jbonofre commented on the pull request:
https://github.com/apache/spark/pull/9487#issuecomment-15586
Let me revert the unecessary commits.
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Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/9237#issuecomment-155868674
> Is that true? This code throws an exception:
What's your environment? I can run your codes without any exception. My OS
is Mac OS X 10.10.5.
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@JoshRosen
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--- Diff: sql/core/src/main/scala/org/apache/spark/sql/Dataset.scala ---
@@ -381,6 +383,16 @@ class Dataset[T] private[sql](
new Dataset(sqlContext,
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GitHub user vanzin opened a pull request:
https://github.com/apache/spark/pull/9633
[SPARK-11655] [core] Fix deadlock in handling of launcher stop().
The stop() callback was trying to close the launcher connection in the
same thread that handles connection data, which ended up ca
Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/9264#discussion_r44566495
--- Diff: core/src/main/scala/org/apache/spark/rdd/AsyncRDDActions.scala ---
@@ -95,19 +102,18 @@ class AsyncRDDActions[T: ClassTag](self: RDD[T])
extends
Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/9264#discussion_r44566403
--- Diff: core/src/main/scala/org/apache/spark/rdd/AsyncRDDActions.scala ---
@@ -66,14 +65,22 @@ class AsyncRDDActions[T: ClassTag](self: RDD[T])
extends S
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/DAGScheduler.scala
---
@@ -23,6 +23,7 @@ import java.util.concurrent.TimeUnit
import java.uti
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retest this please
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Thanks, merging to master and 1.6.
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@feynmanliang Thanks for the tip! My unit tests fail. It has a problem with
the new RNG in Spark, so I updated the seeds and the asserts. However the fail
seems to corr
Github user andrewor14 commented on a diff in the pull request:
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--- Diff: core/src/main/scala/org/apache/spark/scheduler/JobWaiter.scala ---
@@ -49,29 +51,14 @@ private[spark] class JobWaiter[T](
dagScheduler.ca
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Github user rxin commented on the pull request:
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I've merged this.
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(racing. I just merge this too)
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Github user davies commented on the pull request:
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Merging this into master and 1.6.
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Github user brkyvz commented on the pull request:
https://github.com/apache/spark/pull/9390#issuecomment-155865783
@sun-rui With this patch, you should be able to enable this test:
https://github.com/apache/spark/blob/27524a3a9ccee6fbe56149180ebfb3f74e0957e7/core/src/test/scala/org
Github user choochootrain commented on the pull request:
https://github.com/apache/spark/pull/9367#issuecomment-155865241
@srowen @andrewor14 @yhuai
it seems like the SPARK-8489 approach would be less invasive, but also less
maintainable. any preferences? i'd like to stick wit
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@@ -197,4 +197,31 @@ class AsyncRDDActionsSuite extends SparkFunSuite with
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Github user zsxwing commented on the pull request:
https://github.com/apache/spark/pull/9186#issuecomment-155864069
BTW, LGTM for the new Python APIs.
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--- Diff: python/pyspark/__init__.py ---
@@ -36,6 +36,53 @@
Finer-grained cache persistence levels.
"""
+import os
+import re
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Github user zsxwing commented on the pull request:
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Could you add some codes in tests to demonstrate all fields in
`JavaBatchInfo`, `JavaReceiverInfo` and `JavaOutputOperationInfo` can be
accessed in Python? It's not nece
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--- Diff: core/src/main/scala/org/apache/spark/FutureAction.scala ---
@@ -20,13 +20,16 @@ package org.apache.spark
import java.util.Collections
impor
Github user CharlesYeh commented on the pull request:
https://github.com/apache/spark/pull/9571#issuecomment-155863566
I'm assuming you didn't make a HistorySource in HistoryServer (what
MasterSource in Master does) because it requires the MetricsSystem.
Where does MetricsSyst
Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/9264#discussion_r44564180
--- Diff: core/src/main/scala/org/apache/spark/FutureAction.scala ---
@@ -116,57 +120,26 @@ class SimpleFutureAction[T] private[spark](jobWaiter:
JobWaiter
Github user davies commented on the pull request:
https://github.com/apache/spark/pull/9618#issuecomment-155863448
These two tests need fix:
```
org.apache.spark.sql.execution.metric.SQLMetricsSuite.Project metrics
42 ms 1
org.apache.spark.sql.hive.execution.HiveEx
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Github user andrewor14 commented on the pull request:
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Oops, sorry. Thanks for fixing.
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core/src/test/scala/org/apache/spark/rdd/AsyncRDDActionsSuite.scala ---
@@ -197,4 +197,31 @@ class AsyncRDDActionsSuite extends SparkFunSuite wit
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--- Diff:
streaming/src/main/scala/org/apache/spark/streaming/api/java/JavaStreamingListener.scala
---
@@ -18,6 +18,82 @@
package org.apache.spark.strea
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Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9347#issuecomment-155861521
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Github user AmplabJenkins commented on the pull request:
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Github user radekg commented on a diff in the pull request:
https://github.com/apache/spark/pull/9608#discussion_r44563045
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -810,7 +810,7 @@ private[spark] object Utils extends Logging {
* Get the local ma
Github user cloud-fan commented on the pull request:
https://github.com/apache/spark/pull/9632#issuecomment-155860628
cc @marmbrus
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GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/9632
[SQL][WIP] simplify encoder framework
The idea is: keep the encoder unresolved until the last moment we need to
use it for execution.
Then we only need one method `bind` that need to be called
Github user andrewor14 commented on a diff in the pull request:
https://github.com/apache/spark/pull/9264#discussion_r44562528
--- Diff: core/src/main/scala/org/apache/spark/FutureAction.scala ---
@@ -20,13 +20,16 @@ package org.apache.spark
import java.util.Collections
im
Github user radekg commented on a diff in the pull request:
https://github.com/apache/spark/pull/9608#discussion_r44562422
--- Diff: core/src/main/scala/org/apache/spark/util/Utils.scala ---
@@ -810,7 +810,7 @@ private[spark] object Utils extends Logging {
* Get the local ma
Github user SparkQA commented on the pull request:
https://github.com/apache/spark/pull/9621#issuecomment-155859998
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Github user andrewor14 commented on the pull request:
https://github.com/apache/spark/pull/9487#issuecomment-155859656
I agree, we should just put it under total time. The KV pairs at the top of
the page are for summary info aggregated across tasks and that's exactly what
this is. It
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