[GitHub] spark pull request #15195: [SPARK-17632][SQL]make console sink and other sin...

2016-10-26 Thread chuanlei
Github user chuanlei closed the pull request at:

https://github.com/apache/spark/pull/15195


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[GitHub] spark issue #15195: [SPARK-17632][SQL]make console sink and other sinks work...

2016-10-26 Thread chuanlei
Github user chuanlei commented on the issue:

https://github.com/apache/spark/pull/15195
  
ok, I will close this pr.
Thanks for the reply. 
@jerryshao @lw-lin  @marmbrus @tdas 


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[GitHub] spark issue #15195: [SPARK-17632][SQL]make console sink and other sinks work...

2016-09-26 Thread chuanlei
Github user chuanlei commented on the issue:

https://github.com/apache/spark/pull/15195
  
@marmbrus 
Could you have a look at this pr?


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[GitHub] spark pull request #15195: [SPARK-17632][SQL]make console sink and other sin...

2016-09-25 Thread chuanlei
Github user chuanlei commented on a diff in the pull request:

https://github.com/apache/spark/pull/15195#discussion_r80401708
  
--- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala 
---
@@ -290,8 +284,8 @@ final class DataStreamWriter[T] private[sql](ds: 
Dataset[T]) {
 df,
 dataSource.createSink(outputMode),
 outputMode,
-useTempCheckpointLocation = useTempCheckpointLocation,
-recoverFromCheckpointLocation = recoverFromCheckpointLocation,
+useTempCheckpointLocation = true,
--- End diff --

Actually, I am implementing kafka source for kafka0.8. When I ran the tests 
for my implementation, I find the `ConsoleSink` cannot **continue** to process 
data.

So I think if we provide `checkPointLocation` for the **sinks**,  it can 
continue to process data. If we do not provide this option, it is ok  to start 
from beginning.  Not only the **other sinks**, I think all the sinks should 
follow the pattern above.


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[GitHub] spark pull request #15195: [SPARK-17632][SQL]make console sink and other sin...

2016-09-24 Thread chuanlei
Github user chuanlei commented on a diff in the pull request:

https://github.com/apache/spark/pull/15195#discussion_r80357457
  
--- Diff: 
sql/core/src/main/scala/org/apache/spark/sql/streaming/DataStreamWriter.scala 
---
@@ -290,8 +284,8 @@ final class DataStreamWriter[T] private[sql](ds: 
Dataset[T]) {
 df,
 dataSource.createSink(outputMode),
 outputMode,
-useTempCheckpointLocation = useTempCheckpointLocation,
-recoverFromCheckpointLocation = recoverFromCheckpointLocation,
+useTempCheckpointLocation = true,
--- End diff --

Firstly, if **users want** to use temporary checkpoint location for 
'**other sinks**', it is ok even if we will lost the processed data history. 
User has the control of  sql behavior.

Secondly, If users want to **continue** the process of data even  for` 
ConsoleSink` under the condition of 'set checkpoint location', we should give 
the freedom to users. Again, users has the control of sql behavior.


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[GitHub] spark pull request #15195: [SPARK-17632][SQL]make console sink and other sin...

2016-09-22 Thread chuanlei
GitHub user chuanlei opened a pull request:

https://github.com/apache/spark/pull/15195

[SPARK-17632][SQL]make console sink and other sinks work with 
recoverFromCheckpointLoca…

## What changes were proposed in this pull request?

make console sink and other sinks work with 'recoverFromCheckpointLocation' 
option enabled


## How was this patch tested?

it is so trivial that no test needed

Author: Chuanlei Ni <nichuan...@gmail.com>

You can merge this pull request into a Git repository by running:

$ git pull https://github.com/chuanlei/spark 
fix-console-sink-work-with-recoverFromCheckpointLocation-enabled

Alternatively you can review and apply these changes as the patch at:

https://github.com/apache/spark/pull/15195.patch

To close this pull request, make a commit to your master/trunk branch
with (at least) the following in the commit message:

This closes #15195


commit 4d64ac68b187e5e93bf2e47ffd45ef2f6aadc407
Author: nichuanlei <nichuan...@360.cn>
Date:   2016-09-22T07:59:35Z

make console sink and other sinks work with recoverFromCheckpointLocation 
option enabled




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