[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/19082
  
Nope. You can wait for the answers from the JVM experts. : )


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[GitHub] spark issue #19287: [SPARK-22074][Core] Task killed by other attempt task sh...

2017-10-08 Thread SparkQA
Github user SparkQA commented on the issue:

https://github.com/apache/spark/pull/19287
  
**[Test build #82546 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/82546/testReport)**
 for PR 19287 at commit 
[`1c8c849`](https://github.com/apache/spark/commit/1c8c84937e85302f2ac48bcbdbdb5507c9b445e4).
 * This patch passes all tests.
 * This patch merges cleanly.
 * This patch adds no public classes.


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[GitHub] spark issue #19287: [SPARK-22074][Core] Task killed by other attempt task sh...

2017-10-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/19287
  
Test PASSed.
Refer to this link for build results (access rights to CI server needed): 
https://amplab.cs.berkeley.edu/jenkins//job/SparkPullRequestBuilder/82546/
Test PASSed.


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[GitHub] spark issue #19287: [SPARK-22074][Core] Task killed by other attempt task sh...

2017-10-08 Thread AmplabJenkins
Github user AmplabJenkins commented on the issue:

https://github.com/apache/spark/pull/19287
  
Merged build finished. Test PASSed.


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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread viirya
Github user viirya commented on the issue:

https://github.com/apache/spark/pull/19082
  
Ok. Any comments from @kiszk and @rednaxelafx on this topic? :)


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[GitHub] spark issue #19287: [SPARK-22074][Core] Task killed by other attempt task sh...

2017-10-08 Thread jerryshao
Github user jerryshao commented on the issue:

https://github.com/apache/spark/pull/19287
  
LGTM, merging to master. Thanks!


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[GitHub] spark pull request #19287: [SPARK-22074][Core] Task killed by other attempt ...

2017-10-08 Thread asfgit
Github user asfgit closed the pull request at:

https://github.com/apache/spark/pull/19287


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[GitHub] spark pull request #19444: [SPARK-22214][SQL] Refactor the list hive partiti...

2017-10-08 Thread jiangxb1987
Github user jiangxb1987 commented on a diff in the pull request:

https://github.com/apache/spark/pull/19444#discussion_r143390226
  
--- Diff: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/catalog/interface.scala
 ---
@@ -405,6 +405,11 @@ object CatalogTypes {
* Specifications of a table partition. Mapping column name to column 
value.
*/
   type TablePartitionSpec = Map[String, String]
+
+  /**
+   * Initialize an empty spec.
+   */
+  lazy val emptyTablePartitionSpec: TablePartitionSpec = Map.empty[String, 
String]
--- End diff --

We wanted to refer the val `emptyTablePartitionSpec` as 
`TablePartitionSpec`, not `Map[String, String]`, though they are equal.


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[GitHub] spark issue #19399: [SPARK-22175][WEB-UI] Add status column to history page

2017-10-08 Thread guoxiaolongzte
Github user guoxiaolongzte commented on the issue:

https://github.com/apache/spark/pull/19399
  
Nice, I think it should be merged.


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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/19082
  
The relation is very clear. Let me copy what I said above

> Just imagine we have two nodes, we want to do a horizontal/ring cut. 
Basically, in this scenario, horizontal/ring cutting means whether we do a 
whole-stage codegen or not.

After horizontal/ring cutting, each operator will be in a single blocking 
loop. That means, whole-stage codegen is off. 


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[GitHub] spark issue #19287: [SPARK-22074][Core] Task killed by other attempt task sh...

2017-10-08 Thread xuanyuanking
Github user xuanyuanking commented on the issue:

https://github.com/apache/spark/pull/19287
  
Thanks all reviewers!


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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread viirya
Github user viirya commented on the issue:

https://github.com/apache/spark/pull/19082
  
Yeah, once we exceed `hugeMethodLimit`, wholestage codegen is disabled. Can 
you tell me how `hugeMethodLimit` makes each operator to a single blocking 
loop? We didn't run codegen now.


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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread viirya
Github user viirya commented on the issue:

https://github.com/apache/spark/pull/19082
  
> After horizontal/ring cutting, each operator will be in a single blocking 
loop. That means, whole-stage codegen is off.

And do we have anything to cut the operators to individual single blocking 
loop? I didn't see we have anything to do this.


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[GitHub] spark issue #19145: [spark-21933][yarn] Spark Streaming request more executo...

2017-10-08 Thread klion26
Github user klion26 commented on the issue:

https://github.com/apache/spark/pull/19145
  
sorry for the late response, IIUC, in MR, this case handled by below
1. AM received the container failed message
2. AM will check whether there are any attempts of the same task is RUNNING 
or SUCCEED
2.1 If step 2 returns true, then MR ignores the failed message
2.2 if step 2 returns false, then MR will request a new container and run 
the specified task



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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/19082
  
Sorry, it is really hard to explain it to you. Maybe you can first think 
about why the whole-stage codegen works better the previous solution? 


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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread viirya
Github user viirya commented on the issue:

https://github.com/apache/spark/pull/19082
  
No. I think you should explain it because this is your concern. You just 
need to point out, where is the single blocking loop for the two operators?


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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/19082
  
Just try to help you understand it. If you don't want it, I can keep quiet. 


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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread viirya
Github user viirya commented on the issue:

https://github.com/apache/spark/pull/19082
  
@gatorsmile You can't just drop few words without explanation and simply 
say that others works don't work. I do respect your work/comments and you 
should respect my works too.


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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread viirya
Github user viirya commented on the issue:

https://github.com/apache/spark/pull/19082
  
If you really can't or don't willing to explain, we can wait for @kiszk or 
@rednaxelafx to explain it.


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[GitHub] spark pull request #19420: [SPARK-22191] [SQL] Add hive serde example with s...

2017-10-08 Thread crlalam
Github user crlalam commented on a diff in the pull request:

https://github.com/apache/spark/pull/19420#discussion_r143118902
  
--- Diff: 
examples/src/main/java/org/apache/spark/examples/sql/hive/JavaSparkHiveExample.java
 ---
@@ -124,6 +124,13 @@ public static void main(String[] args) {
 // ...
 // $example off:spark_hive$
 
+// Hive serde's are also supported with serde properties.
+   String sqlQuery = "CREATE TABLE src_serde(key decimal(38,18), value 
int) USING hive"
--- End diff --

Hi @dongjoon-hyun ,
Thanks for the review and pointing me to the coding style. Fixed coding 
style issues and updated the pull request. Please take a look.


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[GitHub] spark issue #19082: [SPARK-21870][SQL] Split aggregation code into small fun...

2017-10-08 Thread gatorsmile
Github user gatorsmile commented on the issue:

https://github.com/apache/spark/pull/19082
  
OK. Based on your attitudes, I do not care it.


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