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Github user cloud-fan commented on the issue:
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cc @liancheng @kiszk
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GitHub user cloud-fan opened a pull request:
https://github.com/apache/spark/pull/17587
[SPARK-20274][SQL] support compatible array element type in encoder
## What changes were proposed in this pull request?
This is a regression caused by SPARK-19716.
Before SPARK-1
Github user facaiy commented on the issue:
https://github.com/apache/spark/pull/17556
```
Test Result (1 failure / +1)
org.apache.spark.storage.TopologyAwareBlockReplicationPolicyBehavior.Peers in 2
racks
```
Does anyone know what is this?
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Github user facaiy commented on the issue:
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is there something wrong with spark CI?
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Github user guoxiaolongzte commented on the issue:
https://github.com/apache/spark/pull/17580
Because of the API changes of Kafka, we do not want to delete it, but to
maintain and modify it.
Although it is absolutely a Kafka producer code, but this is part of spark
streaming, it i
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Github user zjffdu commented on the issue:
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I didn't add metrics like roc for this summary yet, I can add it if it is
necessary.
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GitHub user zjffdu opened a pull request:
https://github.com/apache/spark/pull/17586
[SPARK-20249][ML][PYSPARK] Add summary for LinearSVCModel
## What changes were proposed in this pull request?
Add summary for LinearSVCModel so that user can get the training process
status
Github user jerryshao commented on the issue:
https://github.com/apache/spark/pull/17580
I would say this is not a Spark program, it is absolutely a Kafka producer
code. To maintain a Kafka Producer example in Spark is not a good choice, this
is a legacy code. Because of the API chang
Github user SparkQA commented on the issue:
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Github user gatorsmile commented on the issue:
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cc @cloud-fan
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GitHub user gatorsmile opened a pull request:
https://github.com/apache/spark/pull/17585
[SPARK-20273] [SQL] Disallow Non-deterministic Filter push-down into Join
Conditions
## What changes were proposed in this pull request?
```
sql("SELECT t1.b, rand(0) as r FROM cachedDat
Github user cloud-fan closed the pull request at:
https://github.com/apache/spark/pull/17187
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Github user dilipbiswal commented on the issue:
https://github.com/apache/spark/pull/17330
@cloud-fan Sure Wenchen.
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Github user guoxiaolongzte commented on the issue:
https://github.com/apache/spark/pull/17580
When a user use spark to develop a stream&kafka application, he first
wants to find and learn example program in 'spark \ examples \ src \ main \
java \ org \ apache \ spark \ examples \ st
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/17330
Hi @dilipbiswal can you update now?
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Github user kiszk commented on the issue:
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ping @cloud-fan
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17436#discussion_r110576977
--- Diff: core/src/main/scala/org/apache/spark/SparkConf.scala ---
@@ -67,6 +67,9 @@ class SparkConf(loadDefaults: Boolean) extends Cloneable
with Logging
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17436#discussion_r110576873
--- Diff: core/src/main/java/org/apache/spark/memory/MemoryConsumer.java ---
@@ -41,7 +41,7 @@ protected MemoryConsumer(TaskMemoryManager
taskMemoryManage
Github user asfgit closed the pull request at:
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Github user cloud-fan commented on the issue:
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thanks for the review, merging to master!
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17546#discussion_r110574182
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/CostBasedJoinReorder.scala
---
@@ -54,8 +54,6 @@ case class CostBasedJoinRe
Github user jerryshao commented on the issue:
https://github.com/apache/spark/pull/17580
What is the purpose of adding this example? I think we already have a
`KafkaWordCountProducer` for the convenience of Kafka streaming example, and we
could use that to send events to Kafka. I thin
Github user danielyli commented on the issue:
https://github.com/apache/spark/pull/15899
I'm simply making an argument for a specific use case, though you're right,
it's used for more than just pattern matching.
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Github user asfgit closed the pull request at:
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Github user dbtsai commented on the issue:
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Merged into master.
@cloud-fan #15994 is still needed when a user wants to fill in default long
value with a extremely large value into NaN. Thanks.
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Github user rxin commented on the issue:
https://github.com/apache/spark/pull/17574
Meh let's not bother. There isn't any harm in the current setup since it's
already a transitive dependency. Why waste time on those?
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17546#discussion_r110573027
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/CostBasedJoinReorder.scala
---
@@ -218,28 +220,44 @@ object JoinReorderDP e
Github user shaolinliu commented on the issue:
https://github.com/apache/spark/pull/17581
Sorry, I am wrong. It's just increase user's query time, not occupy the
resource.
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Github user gatorsmile commented on the issue:
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You can make a try.
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Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17546#discussion_r110570339
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/CostBasedJoinReorder.scala
---
@@ -327,3 +345,104 @@ object JoinReorderDP e
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17546#discussion_r110570287
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/CostBasedJoinReorder.scala
---
@@ -327,3 +345,104 @@ object JoinReorderDP e
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17546#discussion_r110569876
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/CostBasedJoinReorder.scala
---
@@ -327,3 +345,104 @@ object JoinReorderDP e
Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17528
I just found some references about the order. It seems there was a question
about it -
http://stackoverflow.com/questions/18544006/how-do-i-indicate-collate-order-in-roxygen2
and https://cran.r
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Github user cloud-fan commented on the issue:
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thanks, merging to master!
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Github user cloud-fan commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/NGrams.scala
---
@@ -0,0 +1,258 @@
+/*
+ * Licensed to
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17359#discussion_r110568699
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/NGrams.scala
---
@@ -0,0 +1,249 @@
+/*
+ * Licensed to
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17574
@gatorsmile Thanks for the search. I don't see any usage of it in
`sql/core` now. It is only used in `core`, `repl`, `graphx`. So I am wondering
if we can completely remove it from the dependency.
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17359#discussion_r110568613
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/NGrams.scala
---
@@ -0,0 +1,258 @@
+/*
+ * Licensed to
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17359#discussion_r110568482
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/aggregate/NGrams.scala
---
@@ -0,0 +1,249 @@
+/*
+ * Licensed to
Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17574
@viirya Based on the code change history,
https://github.com/apache/spark/pull/13642 removed the usage of ASM in the test
case `SQLMetricsSuite.scala`. Thus, it is safe to remove the test depende
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Github user asfgit closed the pull request at:
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Github user gatorsmile commented on the issue:
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Thanks! Merging to master/2.1
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17359
Regarding the performance issue, does this change have significant
improvement compared with Hive's?
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Github user viirya commented on the issue:
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> When SQLConf.THRIFTSERVER_INCREMENTAL_COLLECT is open, the process is :
beeline[get] -> hs2[get] -> executor[ret] -> hs2[ret] ->beeline[ret]
and in the process,the executor's resource i
Github user shaolinliu commented on the issue:
https://github.com/apache/spark/pull/17581
In a department, we can not constraint everyone, but when we start ts2 with
this parameter, even if the user goes wrong, it does not matter.We have used
the SQLConf.THRIFTSERVER_INCREMENTAL_COLLE
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Can one of the admins verify this patch?
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Github user hhbyyh commented on the issue:
https://github.com/apache/spark/pull/17583
No unit test is added for now as I'm not sure if this is something that
would interests the community.
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GitHub user MirrorZ opened a pull request:
https://github.com/apache/spark/pull/17584
Document Master URL format in high availability set up
## What changes were proposed in this pull request?
Add documentation for adding master url in multi host, port format for
standalone
GitHub user hhbyyh opened a pull request:
https://github.com/apache/spark/pull/17583
[SPARK-20271]Add FuncTransformer to simplify custom transformer creation
## What changes were proposed in this pull request?
Just to share some code I implemented to help easily create a cus
Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17581
> In the production, the user often select without a limit, often lead to
service offline,this is a general situation, so increase the parameters.
If the users tend to select without a limit
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GitHub user jerryshao opened a pull request:
https://github.com/apache/spark/pull/17582
[SPARK-20239][Core] Improve HistoryServer's ACL mechanism
## What changes were proposed in this pull request?
Current SHS (Spark History Server) two different ACLs:
* ACL of base
Github user shaolinliu commented on the issue:
https://github.com/apache/spark/pull/17581
My opinion is:
In the production, the user often select without a limit, often lead to
service offline,this is a general situation, so increase the parameters.
When SQLConf.THRIFTSERVER_I
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/17577
LGTM, do we still need #15994 ?
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Github user HyukjinKwon commented on the issue:
https://github.com/apache/spark/pull/17561
@ueshin, about Jenkins thing, please refer
https://github.com/apache/spark/pull/17469#issuecomment-292663021. It might be
helpful.
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Github user SparkQA commented on the issue:
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17581
Btw, I am not sure why you said `SQLConf.THRIFTSERVER_INCREMENTAL_COLLECT`
will waste cluster resource. The difference between incremental collect or not
is whether the results will be materialized a
Github user cloud-fan commented on a diff in the pull request:
https://github.com/apache/spark/pull/17541#discussion_r110564162
--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
---
@@ -359,9 +359,59 @@ abstract class QueryPlan[PlanType <:
Github user cloud-fan commented on the issue:
https://github.com/apache/spark/pull/17541
retest this please
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Github user viirya commented on the issue:
https://github.com/apache/spark/pull/17581
If the user really need to limit the returned results, why don't directly
use a `limit` operator?
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Github user viirya commented on the issue:
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Previous reviews can be found at #17561.
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Github user ueshin commented on the issue:
https://github.com/apache/spark/pull/17581
cc @viirya, and also cc @dongjoon-hyun @srowen for previous work
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Github user viirya commented on a diff in the pull request:
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--- Diff:
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/plans/QueryPlan.scala
---
@@ -359,9 +359,59 @@ abstract class QueryPlan[PlanType <:
Que
Github user ueshin commented on the issue:
https://github.com/apache/spark/pull/17581
ok to test
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Can one of the admins verify this patch?
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Github user shaolinliu commented on the issue:
https://github.com/apache/spark/pull/17581
@ueshin please take a look at this pr, thanks.
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GitHub user shaolinliu opened a pull request:
https://github.com/apache/spark/pull/17581
[SPARK-20248][ SQL]Spark SQL add limit parameter to enhance the reliability.
## What changes were proposed in this pull request?
Add a parameter "spark.sql.thriftServer.retainedResults"
Github user shaolinliu closed the pull request at:
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Github user shaolinliu commented on the issue:
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ok.
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Github user viirya commented on the issue:
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LGTM
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Github user HyukjinKwon commented on a diff in the pull request:
https://github.com/apache/spark/pull/17149#discussion_r110560960
--- Diff:
sql/hive/src/main/scala/org/apache/spark/sql/hive/HiveExternalCatalog.scala ---
@@ -285,7 +285,7 @@ private[spark] class HiveExternalCatalog(c
Github user ueshin commented on the issue:
https://github.com/apache/spark/pull/17561
I don't know the reason but Jenkins doesn't work here.
@shaolinliu Could you close this and send another pr to make Jenkins work?
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/17541
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17541
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Github user AmplabJenkins commented on the issue:
https://github.com/apache/spark/pull/17541
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Github user jerryshao commented on the issue:
https://github.com/apache/spark/pull/17558
@wangyum , the fix of your PR is more like a bug fix, whereas the comment
above is actually a feature request, these two things are not completely
matched. I would suggest to focus on shriftserver
Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17541
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/17541
retest this please
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Github user SparkQA commented on the issue:
https://github.com/apache/spark/pull/17541
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Github user AmplabJenkins commented on the issue:
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