[GitHub] [spark] SparkQA commented on issue #26993: [SPARK-30338][SQL] Avoid unnecessary InternalRow copies in ParquetRowConverter

2019-12-31 Thread GitBox
SparkQA commented on issue #26993: [SPARK-30338][SQL] Avoid unnecessary 
InternalRow copies in ParquetRowConverter
URL: https://github.com/apache/spark/pull/26993#issuecomment-569885119
 
 
   **[Test build #115981 has 
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[`e6945e8`](https://github.com/apache/spark/commit/e6945e88a24d51551cba105b5e7e3825bc5e0a69).
* This patch **fails due to an unknown error code, -9**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] AmplabJenkins commented on issue #26993: [SPARK-30338][SQL] Avoid unnecessary InternalRow copies in ParquetRowConverter

2019-12-31 Thread GitBox
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InternalRow copies in ParquetRowConverter
URL: https://github.com/apache/spark/pull/26993#issuecomment-569885283
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26993: [SPARK-30338][SQL] Avoid unnecessary InternalRow copies in ParquetRowConverter

2019-12-31 Thread GitBox
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URL: https://github.com/apache/spark/pull/26993#issuecomment-569885289
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #26993: [SPARK-30338][SQL] Avoid unnecessary InternalRow copies in ParquetRowConverter

2019-12-31 Thread GitBox
SparkQA removed a comment on issue #26993: [SPARK-30338][SQL] Avoid unnecessary 
InternalRow copies in ParquetRowConverter
URL: https://github.com/apache/spark/pull/26993#issuecomment-569861048
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26993: [SPARK-30338][SQL] Avoid unnecessary InternalRow copies in ParquetRowConverter

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[GitHub] [spark] amanomer commented on issue #27056: [SPARK-27217][SQL] Nested schema pruning with Aggregation

2019-12-31 Thread GitBox
amanomer commented on issue #27056: [SPARK-27217][SQL] Nested schema pruning 
with Aggregation
URL: https://github.com/apache/spark/pull/27056#issuecomment-569887119
 
 
   cc @cloud-fan @HyukjinKwon 


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[GitHub] [spark] 07ARB commented on issue #27047: [SPARK-30384][WEBUI]Needs to improve the Column name and Add tooltips for the Fair Scheduler Pool Table

2019-12-31 Thread GitBox
07ARB commented on issue #27047: [SPARK-30384][WEBUI]Needs to improve the 
Column name and Add tooltips for the Fair Scheduler Pool Table
URL: https://github.com/apache/spark/pull/27047#issuecomment-569899785
 
 
   @zhengruifeng , please merge this PR.


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[GitHub] [spark] 07ARB edited a comment on issue #27047: [SPARK-30384][WEBUI]Needs to improve the Column name and Add tooltips for the Fair Scheduler Pool Table

2019-12-31 Thread GitBox
07ARB edited a comment on issue #27047: [SPARK-30384][WEBUI]Needs to improve 
the Column name and Add tooltips for the Fair Scheduler Pool Table
URL: https://github.com/apache/spark/pull/27047#issuecomment-569899785
 
 
   cc @zhengruifeng and @HyukjinKwon, please merge this PR.


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[GitHub] [spark] MaxGekk opened a new pull request #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only default value to be set for removed SQL configs

2019-12-31 Thread GitBox
MaxGekk opened a new pull request #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow 
only default value to be set for removed SQL configs
URL: https://github.com/apache/spark/pull/27057
 
 
   ### What changes were proposed in this pull request?
   In the PR, I propose to throw `AnalysisException` when a removed SQL config 
is set to non-default value. The following SQL configs removed by #26559 are 
marked as removed:
   1. `spark.sql.fromJsonForceNullableSchema`
   2. `spark.sql.legacy.compareDateTimestampInTimestamp`
   3. `spark.sql.legacy.allowCreatingManagedTableUsingNonemptyLocation`
   
   ### Why are the changes needed?
   To improve user experience with Spark SQL by notifying of removed SQL 
configs used by users.
   
   ### Does this PR introduce any user-facing change?
   Yes, before the `set` command was silently ignored:
   ```sql
   spark-sql> set spark.sql.fromJsonForceNullableSchema=false;
   spark.sql.fromJsonForceNullableSchemafalse
   ```
   after the exception should be raised:
   ```sql
   spark-sql> set spark.sql.fromJsonForceNullableSchema=false;
   Error in query: The SQL config 'spark.sql.fromJsonForceNullableSchema' was 
removed in the version 3.0.0.;
   ```
   
   ### How was this patch tested?
   Added new tests into `SQLConfSuite` for both cases when removed SQL configs 
are set to default and non-default values.


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[GitHub] [spark] MaxGekk commented on a change in pull request #26559: [SPARK-29930][SQL] Remove SQL configs declared to be removed in Spark 3.0

2019-12-31 Thread GitBox
MaxGekk commented on a change in pull request #26559: [SPARK-29930][SQL] Remove 
SQL configs declared to be removed in Spark 3.0
URL: https://github.com/apache/spark/pull/26559#discussion_r362186543
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/internal/SQLConf.scala
 ##
 @@ -720,14 +720,6 @@ object SQLConf {
 .stringConf
 .createWithDefault("_corrupt_record")
 
-  val FROM_JSON_FORCE_NULLABLE_SCHEMA = 
buildConf("spark.sql.fromJsonForceNullableSchema")
 
 Review comment:
   Here is the PR https://github.com/apache/spark/pull/27057


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[GitHub] [spark] SparkQA commented on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only default value to be set for removed SQL configs

2019-12-31 Thread GitBox
SparkQA commented on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only 
default value to be set for removed SQL configs
URL: https://github.com/apache/spark/pull/27057#issuecomment-569902778
 
 
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[`73f887c`](https://github.com/apache/spark/commit/73f887cdfb3ae55e14d23200346099af481d9fab).


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[GitHub] [spark] AmplabJenkins commented on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only default value to be set for removed SQL configs

2019-12-31 Thread GitBox
AmplabJenkins commented on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow 
only default value to be set for removed SQL configs
URL: https://github.com/apache/spark/pull/27057#issuecomment-569903060
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only default value to be set for removed SQL configs

2019-12-31 Thread GitBox
AmplabJenkins commented on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow 
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URL: https://github.com/apache/spark/pull/27057#issuecomment-569903065
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only default value to be set for removed SQL configs

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AmplabJenkins removed a comment on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only default value to be set for removed SQL configs

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[GitHub] [spark] 07ARB removed a comment on issue #27047: [SPARK-30384][WEBUI]Needs to improve the Column name and Add tooltips for the Fair Scheduler Pool Table

2019-12-31 Thread GitBox
07ARB removed a comment on issue #27047: [SPARK-30384][WEBUI]Needs to improve 
the Column name and Add tooltips for the Fair Scheduler Pool Table
URL: https://github.com/apache/spark/pull/27047#issuecomment-569899785
 
 
   cc @zhengruifeng and @HyukjinKwon, please merge this PR.


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[GitHub] [spark] cloud-fan commented on issue #26850: [SPARK-30215][SQL] Remove PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex

2019-12-31 Thread GitBox
cloud-fan commented on issue #26850: [SPARK-30215][SQL] Remove 
PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex
URL: https://github.com/apache/spark/pull/26850#issuecomment-569908126
 
 
   sorry missed this one. Looks reasonable to me, can you reopen it?


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[GitHub] [spark] cloud-fan commented on issue #26923: [SPARK-30284][SQL] CREATE VIEW should keep the current catalog and namespace

2019-12-31 Thread GitBox
cloud-fan commented on issue #26923: [SPARK-30284][SQL] CREATE VIEW should keep 
the current catalog and namespace
URL: https://github.com/apache/spark/pull/26923#issuecomment-569908659
 
 
   retest this please


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[GitHub] [spark] SparkQA commented on issue #26923: [SPARK-30284][SQL] CREATE VIEW should keep the current catalog and namespace

2019-12-31 Thread GitBox
SparkQA commented on issue #26923: [SPARK-30284][SQL] CREATE VIEW should keep 
the current catalog and namespace
URL: https://github.com/apache/spark/pull/26923#issuecomment-569909337
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26923: [SPARK-30284][SQL] CREATE VIEW should keep the current catalog and namespace

2019-12-31 Thread GitBox
AmplabJenkins commented on issue #26923: [SPARK-30284][SQL] CREATE VIEW should 
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[GitHub] [spark] AmplabJenkins commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #26923: [SPARK-30284][SQL] CREATE VIEW should keep the current catalog and namespace

2019-12-31 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

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[GitHub] [spark] SparkQA commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
SparkQA commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive 
query execution by default
URL: https://github.com/apache/spark/pull/26813#issuecomment-569910529
 
 
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[GitHub] [spark] beliefer opened a new pull request #27058: [SPARK-30395][SQL] When one or more DISTINCT aggregate expressions operate on the same field, the DISTINCT aggregate expression allows the u

2019-12-31 Thread GitBox
beliefer opened a new pull request #27058: [SPARK-30395][SQL] When one or more 
DISTINCT aggregate expressions operate on the same field, the DISTINCT 
aggregate expression allows the use of the FILTER clause
URL: https://github.com/apache/spark/pull/27058
 
 
   ### What changes were proposed in this pull request?
   This PR is related to https://github.com/apache/spark/pull/26656.
   https://github.com/apache/spark/pull/26656 only support use FILTER clause on 
aggregate expression without DISTINCT.
   This PR will enhance this feature when one or more DISTINCT aggregate 
expressions operate on the same field, the DISTINCT aggregate expression allows 
the use of the FILTER clause.
   Such as:
   ```
   select sum(distinct id) filter (where sex = 'man') from student;
   select class_id, sum(distinct id) filter (where sex = 'man') from student 
group by class_id;
   select count(id) filter (where class_id = 1), sum(distinct id) filter (where 
sex = 'man') from student;
   select class_id, count(id) filter (where class_id = 1), sum(distinct id) 
filter (where sex = 'man') from student group by class_id;
   select sum(distinct id), sum(distinct id) filter (where sex = 'man') from 
student;
   select class_id, sum(distinct id), sum(distinct id) filter (where sex = 
'man') from student group by class_id;
   select class_id, count(id), count(id) filter (where class_id = 1), 
sum(distinct id), sum(distinct id) filter (where sex = 'man') from student 
group by class_id;
   ```
   This PR not support:
   ```
   select class_id, count(distinct sex), sum(distinct id) filter (where sex = 
'man') from student group by class_id;
   select class_id, count(distinct sex) filter (where class_id = 1), 
sum(distinct id) filter (where sex = 'man') from student group by class_id;
   ```
   https://issues.apache.org/jira/browse/SPARK-30396 used for later.
   
   ### Why are the changes needed?
   No
   
   
   ### Does this PR introduce any user-facing change?
   No
   
   
   ### How was this patch tested?
   New UT
   


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[GitHub] [spark] SparkQA commented on issue #27058: [SPARK-30395][SQL] When one or more DISTINCT aggregate expressions operate on the same field, the DISTINCT aggregate expression allows the use of th

2019-12-31 Thread GitBox
SparkQA commented on issue #27058: [SPARK-30395][SQL] When one or more DISTINCT 
aggregate expressions operate on the same field, the DISTINCT aggregate 
expression allows the use of the FILTER clause
URL: https://github.com/apache/spark/pull/27058#issuecomment-569911830
 
 
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[GitHub] [spark] 07ARB commented on issue #27047: [SPARK-30384][WEBUI]Needs to improve the Column name and Add tooltips for the Fair Scheduler Pool Table

2019-12-31 Thread GitBox
07ARB commented on issue #27047: [SPARK-30384][WEBUI]Needs to improve the 
Column name and Add tooltips for the Fair Scheduler Pool Table
URL: https://github.com/apache/spark/pull/27047#issuecomment-569911911
 
 
   @HyukjinKwon and @zhengruifeng , can you please review this MR.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27058: [SPARK-30395][SQL] When one or more DISTINCT aggregate expressions operate on the same field, the DISTINCT aggregate expression allows

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AmplabJenkins removed a comment on issue #27058: [SPARK-30395][SQL] When one or 
more DISTINCT aggregate expressions operate on the same field, the DISTINCT 
aggregate expression allows the use of the FILTER clause
URL: https://github.com/apache/spark/pull/27058#issuecomment-569912072
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27058: [SPARK-30395][SQL] When one or more DISTINCT aggregate expressions operate on the same field, the DISTINCT aggregate expression allows the use

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DISTINCT aggregate expressions operate on the same field, the DISTINCT 
aggregate expression allows the use of the FILTER clause
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27058: [SPARK-30395][SQL] When one or more DISTINCT aggregate expressions operate on the same field, the DISTINCT aggregate expression allows

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[GitHub] [spark] AmplabJenkins commented on issue #27058: [SPARK-30395][SQL] When one or more DISTINCT aggregate expressions operate on the same field, the DISTINCT aggregate expression allows the use

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DISTINCT aggregate expressions operate on the same field, the DISTINCT 
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[GitHub] [spark] SparkQA commented on issue #27059: [SPARK-30398][ML] PCA/RegressionMetrics/RowMatrix avoid unnecessary computation

2019-12-31 Thread GitBox
SparkQA commented on issue #27059: [SPARK-30398][ML] 
PCA/RegressionMetrics/RowMatrix avoid unnecessary computation
URL: https://github.com/apache/spark/pull/27059#issuecomment-569914273
 
 
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[GitHub] [spark] zhengruifeng opened a new pull request #27059: [SPARK-30398][ML] PCA/RegressionMetrics/RowMatrix avoid unnecessary computation

2019-12-31 Thread GitBox
zhengruifeng opened a new pull request #27059: [SPARK-30398][ML] 
PCA/RegressionMetrics/RowMatrix avoid unnecessary computation
URL: https://github.com/apache/spark/pull/27059
 
 
   ### What changes were proposed in this pull request?
   use `.ml.Summarizer` instead of `.mllib.MultivariateOnlineSummarizer` to 
avoid computation of unused metrics
   
   
   ### Why are the changes needed?
   to avoid computation of unused metrics
   
   
   ### Does this PR introduce any user-facing change?
   No
   
   
   ### How was this patch tested?
   existing testsuites


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[GitHub] [spark] AmplabJenkins commented on issue #27059: [SPARK-30398][ML] PCA/RegressionMetrics/RowMatrix avoid unnecessary computation

2019-12-31 Thread GitBox
AmplabJenkins commented on issue #27059: [SPARK-30398][ML] 
PCA/RegressionMetrics/RowMatrix avoid unnecessary computation
URL: https://github.com/apache/spark/pull/27059#issuecomment-569914430
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #27059: [SPARK-30398][ML] PCA/RegressionMetrics/RowMatrix avoid unnecessary computation

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PCA/RegressionMetrics/RowMatrix avoid unnecessary computation
URL: https://github.com/apache/spark/pull/27059#issuecomment-569914435
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #27059: [SPARK-30398][ML] PCA/RegressionMetrics/RowMatrix avoid unnecessary computation

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PCA/RegressionMetrics/RowMatrix avoid unnecessary computation
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[GitHub] [spark] 07ARB edited a comment on issue #27051: [SPARK-30389][SQL]Validate file type extension during add jar command.

2019-12-31 Thread GitBox
07ARB edited a comment on issue #27051: [SPARK-30389][SQL]Validate file type 
extension during add jar command.
URL: https://github.com/apache/spark/pull/27051#issuecomment-569855412
 
 
   even if we are doing like this, i feel it's not correct as per our 
documentation, we should force end-user to upload proper extension file.
   
https://spark.apache.org/docs/3.0.0-preview/sql-ref-syntax-aux-resource-mgmt-add-jar.html
   
   ![Screenshot 2019-12-31 at 9 42 10 
AM](https://user-images.githubusercontent.com/8948111/71609865-e89c8900-2bb1-11ea-8f73-30c7545c2073.png)
   


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[GitHub] [spark] 012huang opened a new pull request #27060: [SPARK-30246][CORE][SHUFFLE]fix spark external shuffle memory leak

2019-12-31 Thread GitBox
012huang opened a new pull request #27060: [SPARK-30246][CORE][SHUFFLE]fix 
spark external shuffle memory leak
URL: https://github.com/apache/spark/pull/27060
 
 
   ### What changes were proposed in this pull request?
   An app finished abnormal sometimes may cause shuffe service memory leak. In 
one of our production cases, the app failed for Stage cancelled as SparkContext 
has already shut down. the strange is there are still requests for fetch 
shuffle data and cause error in server side as below:
   ```
   2019-12-08 22:23:33,375 ERROR server.TransportRequestHandler 
(TransportRequestHandler.java:processFetchRequest(132)) - Error opening block 
StreamChunkId{streamId=1902064894814, chunkIndex=0} for request from 
/10.221.115.175:38582
   java.lang.RuntimeException: Executor is not registered 
(appId=application_1574499669561_954327, execId=4514)
   ```
   the client sie also show corresponding log like this:
   ```
   org.apache.spark.shuffle.FetchFailedException: Failure while fetching 
StreamChunkId{streamId=1902064894814, chunkIndex=0}: 
java.lang.RuntimeException: Executor is not registered 
(appId=application_1574499669561_954327, execId=4514)
   ```
   in some cases, the request for `OpenBlocks` is still on the fly. In the code 
`ExternalShuffleBlockHandler#handleMessage`, it will register a `StreamState` 
to `OneForOneStreamManager#streams`, then reply an success response to client 
unconditionally , the client receive the response and then fire 
`ChunkFetchRequest` to fetch chunk, but at this time, the app has got event 
`APPLICATION_STOP` and executed `ExternalShuffleService#applicationRemoved` 
method to clean the app's `ExecutorShuffleInfo`, this made `Executor is not 
registered` error happended. even though when the client channel is closing, 
the `TransportRequestHandler#channelInactive` was called to clean the 
StreamState with relate channel, but when cleanning the `StreamState buffter`, 
it also lookup `ManagedBuffer` with` appId` and `execId` info which have been 
cleaned in executors object. we can also find the log:  `StreamManager 
connectionTerminated() callback failed` in NM's log file.
   
   so, when an `OpenBlocks` request come, we should lookup 
`ExternalShuffleBlockResolver#executors` , if the realted app is exited, we 
should not registering a `StreamState` and just close the client (or reply an 
special message to client and in client side to handle it). and when an app get 
`APPLICATION_STOP` to call `applicationRemoved`, we should clean the the 
related `streamState` before `ExecutorShuffleInfo` has been cleaned, this is 
what the PR changes and prevents the shuffle service memory leak.
   
   ### Why are the changes needed?
   The external shuffle service memory leak has a great impact on cluster with 
dynanic on and may cause NM crash.
   
   ### Does this PR introduce any user-facing change?
   No
   
   ### How was this patch tested?
   with existing ut


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[GitHub] [spark] AmplabJenkins commented on issue #27060: [SPARK-30246][CORE][SHUFFLE]fix spark external shuffle memory leak

2019-12-31 Thread GitBox
AmplabJenkins commented on issue #27060: [SPARK-30246][CORE][SHUFFLE]fix spark 
external shuffle memory leak
URL: https://github.com/apache/spark/pull/27060#issuecomment-569916413
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] AmplabJenkins commented on issue #27060: [SPARK-30246][CORE][SHUFFLE]fix spark external shuffle memory leak

2019-12-31 Thread GitBox
AmplabJenkins commented on issue #27060: [SPARK-30246][CORE][SHUFFLE]fix spark 
external shuffle memory leak
URL: https://github.com/apache/spark/pull/27060#issuecomment-569916599
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #27060: [SPARK-30246][CORE][SHUFFLE]fix spark external shuffle memory leak

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AmplabJenkins removed a comment on issue #27060: 
[SPARK-30246][CORE][SHUFFLE]fix spark external shuffle memory leak
URL: https://github.com/apache/spark/pull/27060#issuecomment-569916413
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] AmplabJenkins commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
AmplabJenkins commented on issue #26813: [SPARK-30188][SQL][WIP] Enable 
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URL: https://github.com/apache/spark/pull/26813#issuecomment-569918508
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
SparkQA removed a comment on issue #26813: [SPARK-30188][SQL][WIP] Enable 
adaptive query execution by default
URL: https://github.com/apache/spark/pull/26813#issuecomment-569910529
 
 
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[GitHub] [spark] SparkQA commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
SparkQA commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive 
query execution by default
URL: https://github.com/apache/spark/pull/26813#issuecomment-569918463
 
 
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[`15f58ac`](https://github.com/apache/spark/commit/15f58ac0583c06c81bd4f6f63ddfe9da121b32a4).
* This patch **fails Spark unit tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] cloud-fan commented on issue #26437: [SPARK-29800][SQL] Plan non-correlated Exists 's subquery in PlanSubqueries

2019-12-31 Thread GitBox
cloud-fan commented on issue #26437: [SPARK-29800][SQL] Plan non-correlated 
Exists 's subquery in PlanSubqueries
URL: https://github.com/apache/spark/pull/26437#issuecomment-569920054
 
 
   @AngersZh any updates?


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[GitHub] [spark] cloud-fan commented on a change in pull request #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
cloud-fan commented on a change in pull request #26813: [SPARK-30188][SQL][WIP] 
Enable adaptive query execution by default
URL: https://github.com/apache/spark/pull/26813#discussion_r362206963
 
 

 ##
 File path: sql/core/src/test/resources/sql-tests/inputs/explain.sql
 ##
 @@ -4,7 +4,7 @@ CREATE table  explain_temp2 (key int, val int) USING PARQUET;
 CREATE table  explain_temp3 (key int, val int) USING PARQUET;
 
 SET spark.sql.codegen.wholeStage = true;
-
+SET spark.sql.adaptive.enabled = false;
 
 Review comment:
   since we are touchinng it, let's use the right approach. We should put this 
line at the beginning of this file
   ```
   --SET spark.sql.codegen.wholeStage = true
   --SET spark.sql.adaptive.enabled = false
   ```


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[GitHub] [spark] cloud-fan commented on a change in pull request #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
cloud-fan commented on a change in pull request #26813: [SPARK-30188][SQL][WIP] 
Enable adaptive query execution by default
URL: https://github.com/apache/spark/pull/26813#discussion_r362207621
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/util/DataFrameCallbackSuite.scala
 ##
 @@ -89,38 +91,46 @@ class DataFrameCallbackSuite extends QueryTest with 
SharedSparkSession {
   }
 
   test("get numRows metrics by callback") {
-val metrics = ArrayBuffer.empty[Long]
-val listener = new QueryExecutionListener {
-  // Only test successful case here, so no need to implement `onFailure`
-  override def onFailure(funcName: String, qe: QueryExecution, error: 
Throwable): Unit = {}
-
-  override def onSuccess(funcName: String, qe: QueryExecution, duration: 
Long): Unit = {
-val metric = qe.executedPlan match {
-  case w: WholeStageCodegenExec => w.child.longMetric("numOutputRows")
-  case other => other.longMetric("numOutputRows")
+withSQLConf(SQLConf.ADAPTIVE_EXECUTION_ENABLED.key -> "true") {
+  // with AQE on, the WholeStageCodegen rule is applied when running 
QueryStageExec.
+  val metrics = ArrayBuffer.empty[Long]
+  val listener = new QueryExecutionListener {
+// Only test successful case here, so no need to implement `onFailure`
+override def onFailure(funcName: String, qe: QueryExecution, error: 
Throwable): Unit = {}
+
+override def onSuccess(funcName: String, qe: QueryExecution, duration: 
Long): Unit = {
+  val plan = qe.executedPlan match {
+case a: AdaptiveSparkPlanExec => a.executedPlan
 
 Review comment:
   This appears many times, we can introduce a `stripAQEPlan` method in 
`AdaptiveSparkPlanHelper` to do it.


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[GitHub] [spark] SparkQA commented on issue #27059: [SPARK-30398][ML] PCA/RegressionMetrics/RowMatrix avoid unnecessary computation

2019-12-31 Thread GitBox
SparkQA commented on issue #27059: [SPARK-30398][ML] 
PCA/RegressionMetrics/RowMatrix avoid unnecessary computation
URL: https://github.com/apache/spark/pull/27059#issuecomment-569922368
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #27059: [SPARK-30398][ML] PCA/RegressionMetrics/RowMatrix avoid unnecessary computation

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[GitHub] [spark] 07ARB edited a comment on issue #27047: [SPARK-30384][WEBUI]Needs to improve the Column name and Add tooltips for the Fair Scheduler Pool Table

2019-12-31 Thread GitBox
07ARB edited a comment on issue #27047: [SPARK-30384][WEBUI]Needs to improve 
the Column name and Add tooltips for the Fair Scheduler Pool Table
URL: https://github.com/apache/spark/pull/27047#issuecomment-569911911
 
 
   cc @srowen  all tests passed.


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[GitHub] [spark] SparkQA commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
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URL: https://github.com/apache/spark/pull/26813#issuecomment-569924868
 
 
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[GitHub] [spark] fuwhu opened a new pull request #26850: [SPARK-30215][SQL] Remove PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex

2019-12-31 Thread GitBox
fuwhu opened a new pull request #26850: [SPARK-30215][SQL] Remove 
PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex
URL: https://github.com/apache/spark/pull/26850
 
 
   ### What changes were proposed in this pull request?
   Remove PrunedInMemoryFileIndex and merge its functionality into 
InMemoryFileIndex.
   
   
   ### Why are the changes needed?
   PrunedInMemoryFileIndex is only used in CatalogFileIndex.filterPartitions, 
and its name is kind of confusing, we can completely merge its functionality 
into InMemoryFileIndex and remove the class.
   
   
   ### Does this PR introduce any user-facing change?
   No
   
   
   ### How was this patch tested?
   Existing unit tests.
   


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[GitHub] [spark] AmplabJenkins commented on issue #26850: [SPARK-30215][SQL] Remove PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26850: [SPARK-30215][SQL] Remove PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex

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[GitHub] [spark] fuwhu commented on issue #26850: [SPARK-30215][SQL] Remove PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex

2019-12-31 Thread GitBox
fuwhu commented on issue #26850: [SPARK-30215][SQL] Remove 
PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex
URL: https://github.com/apache/spark/pull/26850#issuecomment-569926243
 
 
   @cloud-fan
   Sure, reopened, please help review.


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[GitHub] [spark] SparkQA commented on issue #26850: [SPARK-30215][SQL] Remove PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex

2019-12-31 Thread GitBox
SparkQA commented on issue #26850: [SPARK-30215][SQL] Remove 
PrunedInMemoryFileIndex and merge its functionality into InMemoryFileIndex
URL: https://github.com/apache/spark/pull/26850#issuecomment-569927042
 
 
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[GitHub] [spark] 07ARB edited a comment on issue #27047: [SPARK-30384][WEBUI]Needs to improve the Column name and Add tooltips for the Fair Scheduler Pool Table

2019-12-31 Thread GitBox
07ARB edited a comment on issue #27047: [SPARK-30384][WEBUI]Needs to improve 
the Column name and Add tooltips for the Fair Scheduler Pool Table
URL: https://github.com/apache/spark/pull/27047#issuecomment-569911911
 
 
   cc @srowen  all tests passed. 
   Wish you a Happy New Year.


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[GitHub] [spark] ConeyLiu closed pull request #24237: [SPARK-27319][SQL] Filter out dir based on PathFilter before listing them

2019-12-31 Thread GitBox
ConeyLiu closed pull request #24237: [SPARK-27319][SQL] Filter out dir based on 
PathFilter before listing them
URL: https://github.com/apache/spark/pull/24237
 
 
   


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[GitHub] [spark] Ngone51 opened a new pull request #27061: [MINOR][CORE] Process bar should print new line to avoid polluting logs

2019-12-31 Thread GitBox
Ngone51 opened a new pull request #27061: [MINOR][CORE] Process bar should 
print new line to avoid polluting logs
URL: https://github.com/apache/spark/pull/27061
 
 
   
   
   ### What changes were proposed in this pull request?
   
   
   Use `println()` instead of `print()` to show process bar in console.
   
   
   ### Why are the changes needed?
   
   
   Logs are polluted by process bar:
   
   
![image](https://user-images.githubusercontent.com/16397174/71623164-942af500-2c15-11ea-9275-7645f67bfd8e.png)
   
   This is easy to reproduce:
   
   1. start `./bin/spark-shell`
   2. `sc.setLogLevel("INFO")`
   3. run: `spark.range(1).coalesce(1).write.parquet("/tmp/result")`
   
   ### Does this PR introduce any user-facing change?
   
   
   Yeah, more friendly format in console.
   
   ### How was this patch tested?
   
   
   Tested manually.
   


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[GitHub] [spark] SparkQA commented on issue #27061: [MINOR][CORE] Process bar should print new line to avoid polluting logs

2019-12-31 Thread GitBox
SparkQA commented on issue #27061: [MINOR][CORE] Process bar should print new 
line to avoid polluting logs
URL: https://github.com/apache/spark/pull/27061#issuecomment-569931641
 
 
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[GitHub] [spark] amanomer edited a comment on issue #27056: [SPARK-27217][SQL] Nested schema pruning with Aggregation

2019-12-31 Thread GitBox
amanomer edited a comment on issue #27056: [SPARK-27217][SQL] Nested schema 
pruning with Aggregation
URL: https://github.com/apache/spark/pull/27056#issuecomment-569887119
 
 
   cc @cloud-fan @HyukjinKwon @Ngone51 


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[GitHub] [spark] SparkQA commented on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only default value to be set for removed SQL configs

2019-12-31 Thread GitBox
SparkQA commented on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only 
default value to be set for removed SQL configs
URL: https://github.com/apache/spark/pull/27057#issuecomment-569933577
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #27057: [SPARK-29930][SQL][FOLLOW-UP] Allow only default value to be set for removed SQL configs

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[GitHub] [spark] AmplabJenkins commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
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[GitHub] [spark] SparkQA commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

2019-12-31 Thread GitBox
SparkQA commented on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive 
query execution by default
URL: https://github.com/apache/spark/pull/26813#issuecomment-569937916
 
 
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[GitHub] [spark] SparkQA removed a comment on issue #26813: [SPARK-30188][SQL][WIP] Enable adaptive query execution by default

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[GitHub] [spark] beliefer commented on a change in pull request #27058: [SPARK-30395][SQL] When one or more DISTINCT aggregate expressions operate on the same field, the DISTINCT aggregate expression

2019-12-31 Thread GitBox
beliefer commented on a change in pull request #27058: [SPARK-30395][SQL] When 
one or more DISTINCT aggregate expressions operate on the same field, the 
DISTINCT aggregate expression allows the use of the FILTER clause
URL: https://github.com/apache/spark/pull/27058#discussion_r362226499
 
 

 ##
 File path: 
sql/core/src/test/resources/sql-tests/results/group-by-filter.sql.out
 ##
 @@ -177,43 +185,56 @@ struct
 NULL   NULL
 
 
--- !query 16
+-- !query 17
+SELECT dept_id, SUM(DISTINCT salary) FILTER (WHERE date_format(hiredate, 
"-MM-dd HH:mm:ss") > "2001-01-01 00:00:00") FROM emp GROUP BY dept_id
+-- !query 17 schema
+struct
+-- !query 17 output
+10 300.0
 
 Review comment:
   This result is incorrect. I will check.


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[GitHub] [spark] beliefer commented on a change in pull request #27058: [SPARK-30395][SQL] When one or more DISTINCT aggregate expressions operate on the same field, the DISTINCT aggregate expression

2019-12-31 Thread GitBox
beliefer commented on a change in pull request #27058: [SPARK-30395][SQL] When 
one or more DISTINCT aggregate expressions operate on the same field, the 
DISTINCT aggregate expression allows the use of the FILTER clause
URL: https://github.com/apache/spark/pull/27058#discussion_r362227598
 
 

 ##
 File path: 
sql/core/src/test/resources/sql-tests/results/group-by-filter.sql.out
 ##
 @@ -95,41 +95,49 @@ struct
 
 
 -- !query 9
-SELECT a, COUNT(b) FILTER (WHERE a >= 2) FROM testData GROUP BY a
+SELECT COUNT(DISTINCT id) FILTER (WHERE date_format(hiredate, "-MM-dd 
HH:mm:ss") = "2001-01-01 00:00:00") FROM emp
 -- !query 9 schema
-struct
+struct
 -- !query 9 output
+3
 
 Review comment:
   This result is incorrect too.
   It seems the I have to check `date_format`.
   @maropu Do you know the reason?


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[GitHub] [spark] SparkQA removed a comment on issue #26923: [SPARK-30284][SQL] CREATE VIEW should keep the current catalog and namespace

2019-12-31 Thread GitBox
SparkQA removed a comment on issue #26923: [SPARK-30284][SQL] CREATE VIEW 
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[GitHub] [spark] SparkQA commented on issue #26923: [SPARK-30284][SQL] CREATE VIEW should keep the current catalog and namespace

2019-12-31 Thread GitBox
SparkQA commented on issue #26923: [SPARK-30284][SQL] CREATE VIEW should keep 
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