[GitHub] [spark] JkSelf commented on issue #26846: [SPARK-30213] [SQL]Remove the mutable status in ShuffleQueryStageExec

2019-12-10 Thread GitBox
JkSelf commented on issue #26846: [SPARK-30213] [SQL]Remove the mutable status 
in ShuffleQueryStageExec
URL: https://github.com/apache/spark/pull/26846#issuecomment-564423425
 
 
   Please help to retest. Thanks.


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[GitHub] [spark] HeartSaVioR edited a comment on issue #26821: [SPARK-20656][CORE]Support Incremental parsing of event logs in SHS

2019-12-10 Thread GitBox
HeartSaVioR edited a comment on issue #26821: [SPARK-20656][CORE]Support 
Incremental parsing of event logs in SHS
URL: https://github.com/apache/spark/pull/26821#issuecomment-564422644
 
 
   @shahidki31 
   No I didn't intend to persuade you to close this. I'd just wanted to make 
sure we get a clear picture of full implementation before dealing with each 
part, but it's OK for me if you'd like to deal with current solution as I think 
I can deal with extending the solution with snapshotting.
   
   I can take a look with current solution, but you still need to persuade at 
least one committer to push this forward.
   
   Btw, we'd be better to clarify the performance test in details. It should 
include at least...
   
   * size of event log file for initial load
   * elapsed time for initial load
   * count/size of events for addition (mostly about size)
   * elapsed time for loading additional events
   
   For me, your statement in PR description sounds to me as skipping (via read 
and drop) 2G takes around 2 secs which is still not ideal (as we know how to do 
it better), though I agree that's still a huge improvement.


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[GitHub] [spark] HeartSaVioR commented on issue #26821: [SPARK-20656][CORE]Support Incremental parsing of event logs in SHS

2019-12-10 Thread GitBox
HeartSaVioR commented on issue #26821: [SPARK-20656][CORE]Support Incremental 
parsing of event logs in SHS
URL: https://github.com/apache/spark/pull/26821#issuecomment-564422644
 
 
   @shahidki31 
   No I didn't intend to persuade you to close this. I'd just wanted to make 
sure we get a clear picture of full implementation before dealing with each 
part, but it's OK for me if you'd like to deal with current solution as I think 
I can deal with extending the solution with snapshotting.
   
   I could take a look with current solution, but you still need to persuade at 
least one committer to push this forward.
   
   Btw, we'd be better to clarify the performance test in details. It should 
include at least...
   
   * size of event log file for initial load
   * elapsed time for initial load
   * count/size of events for addition (mostly about size)
   * elapsed time for loading additional events
   
   For me, your statement in PR description sounds to me as skipping (via read 
and drop) 2G takes around 2 secs which is still not ideal (as we know how to do 
it better), though I agree that's still a huge improvement.


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[GitHub] [spark] yaooqinn commented on issue #26847: [SPARK-30214][SQL] Support COMMENT ON syntax

2019-12-10 Thread GitBox
yaooqinn commented on issue #26847: [SPARK-30214][SQL] Support COMMENT ON syntax
URL: https://github.com/apache/spark/pull/26847#issuecomment-564422183
 
 
   a pre-discussion might be found here 
https://github.com/apache/spark/pull/26806 thanks again.


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[GitHub] [spark] yaooqinn commented on issue #26847: [SPARK-30214][SQL] Support COMMENT ON syntax

2019-12-10 Thread GitBox
yaooqinn commented on issue #26847: [SPARK-30214][SQL] Support COMMENT ON syntax
URL: https://github.com/apache/spark/pull/26847#issuecomment-564421490
 
 
   cc @cloud-fan @maropu, thanks for reviewing this.


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[GitHub] [spark] yaooqinn opened a new pull request #26847: [SPARK-30214][SQL] Support COMMENT ON syntax

2019-12-10 Thread GitBox
yaooqinn opened a new pull request #26847: [SPARK-30214][SQL] Support COMMENT 
ON syntax
URL: https://github.com/apache/spark/pull/26847
 
 
   ### What changes were proposed in this pull request?
   
   As the new design of catalog v2, some properties become reserved, e.g. 
`location`, `comment`. We are going to disable setting reserved properties by 
dbproperties or tblproperites directly to avoid confliction with their related 
subClause or specific commands. 
   
   For `comment`, there is no existing syntax to alter yet, so this pull 
request is to add those.
   ```sql
   COMMENT ON (DATABASE|SCHEMA|NAMESPACE) ... IS ...
   COMMENT ON TABLE ... IS ...
   ```
   They are best practice from PostgeSQL and presto.
   
   https://www.postgresql.org/docs/12/sql-comment.html
   https://prestosql.io/docs/current/sql/comment.html
   
   
   
   ### Why are the changes needed?
   Comming feature support.
   
   ### Does this PR introduce any user-facing change?
   yes, add new syntax
   
   
   ### How was this patch tested?
   
   add uts.


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[GitHub] [spark] shahidki31 edited a comment on issue #26821: [SPARK-20656][CORE]Support Incremental parsing of event logs in SHS

2019-12-10 Thread GitBox
shahidki31 edited a comment on issue #26821: [SPARK-20656][CORE]Support 
Incremental parsing of event logs in SHS
URL: https://github.com/apache/spark/pull/26821#issuecomment-564417301
 
 
   > From what I tested locally, filtering by lines roughly takes about 30 
seconds for file sizes ranging from 10MB to 400MB, while skipping by bytes only 
takes 2 ms for a 400MB file.
   
   Hi @oopDaniel , Actually I tried with both the approaches, and it seems 
skipping bytes seems more complicated as we need to handle more edge cases. 
Also, I tested this PR with 2GB event log file and I think the time to load UI 
took around 2 seconds (?) including filtering and replaying. Also it is not 
difficult to add the skipping bytes, as all we need to do is add the bytes read 
parameter instead of lines read parameter and handle the edge cases. 
@HeartSaVioR I think the approach which you guys are doing is great, as it 
handles restarting SHS. But, if we can review this PR related to incremental 
parsing, extending to snapshotting would be easier I guess.. If there is a 
working PR for that, I can close this.


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[GitHub] [spark] SparkQA commented on issue #26644: [SPARK-30004][SQL] Allow merge UserDefinedType into a native DataType

2019-12-10 Thread GitBox
SparkQA commented on issue #26644: [SPARK-30004][SQL] Allow merge 
UserDefinedType into a native DataType
URL: https://github.com/apache/spark/pull/26644#issuecomment-564419192
 
 
   **[Test build #115158 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/115158/testReport)**
 for PR 26644 at commit 
[`e976297`](https://github.com/apache/spark/commit/e97629726397cbb047b9486e47540f87029abb30).


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[GitHub] [spark] dongjoon-hyun edited a comment on issue #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

2019-12-10 Thread GitBox
dongjoon-hyun edited a comment on issue #26844: [SPARK-30211][INFRA] Use 
python3 in make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564417855
 
 
   FYI, `make-distribution.sh` is also used in the following Jenkins job. I 
triggered to make it sure that our Jenkins is also ready for this change. If it 
fails, we need to file a JIRA issue for that separately. Let's see.
   - 
https://amplab.cs.berkeley.edu/jenkins/view/Spark%20Packaging/job/spark-master-maven-snapshots/2743/


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[GitHub] [spark] dongjoon-hyun commented on issue #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

2019-12-10 Thread GitBox
dongjoon-hyun commented on issue #26844: [SPARK-30211][INFRA] Use python3 in 
make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564417855
 
 
   FYI, `make-distribution.sh` is also used in the following Jenkins job. I 
triggered to make it sure that our Jenkins is also ready for this change. If it 
fails, we need to file a JIRA issue for that separately.
   - 
https://amplab.cs.berkeley.edu/jenkins/view/Spark%20Packaging/job/spark-master-maven-snapshots/2743/


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[GitHub] [spark] zhengruifeng edited a comment on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

2019-12-10 Thread GitBox
zhengruifeng edited a comment on issue #26803: [SPARK-30178][ML] RobustScaler 
support large numFeatures
URL: https://github.com/apache/spark/pull/26803#issuecomment-564413213
 
 
   @srowen I impl a simple `treeAggregateByKey` 
[here](https://github.com/apache/spark/compare/master...zhengruifeng:treeAggByKey?expand=1),
 and made several local tests like:
   ```scala
   val rdd = sc.range(0, 1, 1, 100)
   val rdd2 = rdd.map{i => (i % 10, i)}
   val rdd3 = rdd2.treeAggregateByKey(0.0, new HashPartitioner(3))(_+_, _+_, 3)
   rdd3.collect
   ```
   and ran successfully.
   
   
![image](https://user-images.githubusercontent.com/7322292/70601039-2f8b0480-1c2c-11ea-8cc3-579dd8eb7946.png)
   
   
![image](https://user-images.githubusercontent.com/7322292/70601026-29952380-1c2c-11ea-8449-c27c431b448c.png)
   
   
   BTW, it is reasonable to call `compress` before reduce tasks, so maybe a 
`aggregateByKeyWithinPartitions` is needed? Then we can call `compress` after 
locally aggregation within each partition. I guess they maybe common functions 
and we add this method in RDD/PairRDD?


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[GitHub] [spark] cloud-fan commented on a change in pull request #26773: [SPARK-30126][CORE] sparkContext.addFile and sparkContext.addJar fails when file path contains spaces

2019-12-10 Thread GitBox
cloud-fan commented on a change in pull request #26773: [SPARK-30126][CORE] 
sparkContext.addFile and sparkContext.addJar fails when file path contains 
spaces
URL: https://github.com/apache/spark/pull/26773#discussion_r356439923
 
 

 ##
 File path: core/src/test/scala/org/apache/spark/SparkContextSuite.scala
 ##
 @@ -233,6 +233,42 @@ class SparkContextSuite extends SparkFunSuite with 
LocalSparkContext with Eventu
 }
   }
 
+  test("SPARK-30126: addFile when file path contains spaces with recursive 
works") {
+withTempDir { dir =>
+  try {
+val sep = File.separator
+val tmpDir = Utils.createTempDir(dir.getAbsolutePath + sep + "test 
space")
+val tmpConfFile1 = File.createTempFile("test", ".conf", tmpDir)
 
 Review comment:
   can we also add space in the file name to prove it works?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

2019-12-10 Thread GitBox
AmplabJenkins removed a comment on issue #26844: [SPARK-30211][INFRA] Use 
python3 in make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564417286
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

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python3 in make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564417274
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

2019-12-10 Thread GitBox
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URL: https://github.com/apache/spark/pull/26844#issuecomment-564417286
 
 
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[GitHub] [spark] shahidki31 commented on issue #26821: [SPARK-20656][CORE]Support Incremental parsing of event logs in SHS

2019-12-10 Thread GitBox
shahidki31 commented on issue #26821: [SPARK-20656][CORE]Support Incremental 
parsing of event logs in SHS
URL: https://github.com/apache/spark/pull/26821#issuecomment-564417301
 
 
   > From what I tested locally, filtering by lines roughly takes about 30 
seconds for file sizes ranging from 10MB to 400MB, while skipping by bytes only 
takes 2 ms for a 400MB file.
   
   Hi @oopDaniel , Actually I tried with both the approach, and it seems 
skipping bytes seems more complicated as we need to handle more edge cases. 
Also, I tested this PR with 2GB event log file and I think the time to load UI 
took around 2 seconds (?) including filtering and replaying. Also it is not 
difficult to add the skipping bytes, as all we need to do is add the bytes read 
parameter instead of lines read parameter and handle the edge cases. 
@HeartSaVioR I think the approach which you guys are doing is great, as it 
handles restarting SHS. But, if we can review this PR related to incremental 
parsing, extending to snapshotting would be easier I guess.. If there is a 
working PR for that, I can close this.


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[GitHub] [spark] AmplabJenkins commented on issue #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

2019-12-10 Thread GitBox
AmplabJenkins commented on issue #26844: [SPARK-30211][INFRA] Use python3 in 
make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564417274
 
 
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[GitHub] [spark] cloud-fan commented on a change in pull request #26779: [SPARK-30150][SQL] ADD FILE, ADD JAR, LIST FILE & LIST JAR Command do not accept quoted path

2019-12-10 Thread GitBox
cloud-fan commented on a change in pull request #26779: [SPARK-30150][SQL] ADD 
FILE, ADD JAR, LIST FILE & LIST JAR Command do not accept quoted path
URL: https://github.com/apache/spark/pull/26779#discussion_r356438818
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/SparkSqlParserSuite.scala
 ##
 @@ -259,4 +259,22 @@ class SparkSqlParserSuite extends AnalysisTest {
   parser.parsePlan("ALTER SCHEMA foo SET DBPROPERTIES ('x' = 'y')"))
 assertEqual("DESC DATABASE foo", parser.parsePlan("DESC SCHEMA foo"))
   }
+
+  test("manage resources") {
+assertEqual("ADD FILE abc.txt", AddFileCommand("abc.txt"))
+assertEqual("ADD FILE \'abc.txt\'", AddFileCommand("abc.txt"))
 
 Review comment:
   shall we use `'`? it's easier to read


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[GitHub] [spark] dongjoon-hyun commented on issue #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

2019-12-10 Thread GitBox
dongjoon-hyun commented on issue #26844: [SPARK-30211][INFRA] Use python3 in 
make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564416361
 
 
   It's merged now. Please proceed to the docker issue and ping me if you need 
my help.


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[GitHub] [spark] SparkQA commented on issue #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

2019-12-10 Thread GitBox
SparkQA commented on issue #26844: [SPARK-30211][INFRA] Use python3 in 
make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564416473
 
 
   **[Test build #115145 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/115145/testReport)**
 for PR 26844 at commit 
[`d395904`](https://github.com/apache/spark/commit/d395904b113c0159f866fec3f2f3257313a355c8).
* This patch passes all tests.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] SparkQA removed a comment on issue #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

2019-12-10 Thread GitBox
SparkQA removed a comment on issue #26844: [SPARK-30211][INFRA] Use python3 in 
make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564383404
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #26644: [SPARK-30004][SQL] Allow merge UserDefinedType into a native DataType

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[GitHub] [spark] dongjoon-hyun closed pull request #26844: [SPARK-30211][INFRA] Use python3 in make-distribution.sh

2019-12-10 Thread GitBox
dongjoon-hyun closed pull request #26844: [SPARK-30211][INFRA] Use python3 in 
make-distribution.sh
URL: https://github.com/apache/spark/pull/26844
 
 
   


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[GitHub] [spark] SparkQA commented on issue #26817: [SPARK-30192][SQL] support column position in DS v2

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SparkQA commented on issue #26846: [SPARK-30213] [SQL]Remove the mutable status 
in ShuffleQueryStageExec
URL: https://github.com/apache/spark/pull/26846#issuecomment-564414338
 
 
   **[Test build #115152 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/115152/testReport)**
 for PR 26846 at commit 
[`7ab903c`](https://github.com/apache/spark/commit/7ab903c4c77b5c4d439571d060de9a59c2eccf6d).


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[GitHub] [spark] dongjoon-hyun removed a comment on issue #26844: [SPARK-30211][INFRA] Switch python to python3 in make-distribution.sh

2019-12-10 Thread GitBox
dongjoon-hyun removed a comment on issue #26844: [SPARK-30211][INFRA] Switch 
python to python3 in make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564414062
 
 
   Let's revert the doc~


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26844: [SPARK-30211][INFRA] Switch python to python3 in make-distribution.sh

2019-12-10 Thread GitBox
dongjoon-hyun commented on a change in pull request #26844: 
[SPARK-30211][INFRA] Switch python to python3 in make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#discussion_r356435745
 
 

 ##
 File path: docs/building-spark.md
 ##
 @@ -66,7 +66,7 @@ with Maven profile settings and so on like the direct Maven 
build. Example:
 
 ./dev/make-distribution.sh --name custom-spark --pip --r --tgz -Psparkr 
-Phive -Phive-thriftserver -Pmesos -Pyarn -Pkubernetes
 
-This will build Spark distribution along with Python pip and R packages. For 
more information on usage, run `./dev/make-distribution.sh --help`
+This will build Spark distribution along with Python pip and R packages. (Note 
that build with Python pip package requires Python 3.6). For more information 
on usage, run `./dev/make-distribution.sh --help`
 
 Review comment:
   ~Ur, shall we revert this line since there is Python 3.7 and 3.8?~
   Oops, Never mind.


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26844: [SPARK-30211][INFRA] Switch python to python3 in make-distribution.sh

2019-12-10 Thread GitBox
dongjoon-hyun commented on a change in pull request #26844: 
[SPARK-30211][INFRA] Switch python to python3 in make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#discussion_r356435745
 
 

 ##
 File path: docs/building-spark.md
 ##
 @@ -66,7 +66,7 @@ with Maven profile settings and so on like the direct Maven 
build. Example:
 
 ./dev/make-distribution.sh --name custom-spark --pip --r --tgz -Psparkr 
-Phive -Phive-thriftserver -Pmesos -Pyarn -Pkubernetes
 
-This will build Spark distribution along with Python pip and R packages. For 
more information on usage, run `./dev/make-distribution.sh --help`
+This will build Spark distribution along with Python pip and R packages. (Note 
that build with Python pip package requires Python 3.6). For more information 
on usage, run `./dev/make-distribution.sh --help`
 
 Review comment:
   Ur, shall we revert this line since there is Python 3.7 and 3.8?


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[GitHub] [spark] cloud-fan commented on issue #26811: [SPARK-29600][SQL] array_contains built in function is not backward compatible in 3.0

2019-12-10 Thread GitBox
cloud-fan commented on issue #26811: [SPARK-29600][SQL] array_contains built in 
function is not backward compatible in 3.0
URL: https://github.com/apache/spark/pull/26811#issuecomment-564414076
 
 
   @amanomer do you know which PR causes the compatibility issue? We need to 
see if it's intentional or not. If it's intentional, there should be a 
migration guide.


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[GitHub] [spark] dongjoon-hyun commented on issue #26844: [SPARK-30211][INFRA] Switch python to python3 in make-distribution.sh

2019-12-10 Thread GitBox
dongjoon-hyun commented on issue #26844: [SPARK-30211][INFRA] Switch python to 
python3 in make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564414062
 
 
   Let's revert the doc~


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[GitHub] [spark] Fokko commented on issue #26644: [SPARK-30004][SQL] Allow merge UserDefinedType into a native DataType

2019-12-10 Thread GitBox
Fokko commented on issue #26644: [SPARK-30004][SQL] Allow merge UserDefinedType 
into a native DataType
URL: https://github.com/apache/spark/pull/26644#issuecomment-564413559
 
 
   Rebased onto master


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[GitHub] [spark] wangyum commented on issue #26844: [SPARK-30211][INFRA] Switch python to python3 in make-distribution.sh

2019-12-10 Thread GitBox
wangyum commented on issue #26844: [SPARK-30211][INFRA] Switch python to 
python3 in make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564413141
 
 
   > Do you want to do that separately? Then, I'll merge this first.
   
   Yes. I'd like to do that separately.


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[GitHub] [spark] zhengruifeng commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

2019-12-10 Thread GitBox
zhengruifeng commented on issue #26803: [SPARK-30178][ML] RobustScaler support 
large numFeatures
URL: https://github.com/apache/spark/pull/26803#issuecomment-564413213
 
 
   @srowen I impl a simple `treeAggregateByKey` 
[here](https://github.com/apache/spark/compare/master...zhengruifeng:treeAggByKey?expand=1),
 and made several local tests like:
   ```scala
   val rdd = sc.range(0, 1, 1, 100)
   val rdd2 = rdd.map{i => (i % 10, i)}
   val rdd3 = rdd2.treeAggregateByKey(0.0, new HashPartitioner(3))(_+_, _+_, 2)
   rdd3.collect
   ```
   and ran successfully.
   
![image](https://user-images.githubusercontent.com/7322292/70599939-67dd1380-1c29-11ea-8fa8-146972395ef5.png)
   
   BTW, it is reasonable to call `compress` before reduce tasks, so maybe a 
`aggregateByKeyWithinPartitions` is needed? Then we can call `compress` after 
locally aggregation within each partition. I guess they maybe common functions 
and we add this method in RDD/PairRDD?


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[GitHub] [spark] Fokko commented on a change in pull request #26780: [SPARK-27506][SQL] Allow deserialization of Avro data using compatible schemas

2019-12-10 Thread GitBox
Fokko commented on a change in pull request #26780: [SPARK-27506][SQL] Allow 
deserialization of Avro data using compatible schemas 
URL: https://github.com/apache/spark/pull/26780#discussion_r356433990
 
 

 ##
 File path: python/pyspark/sql/avro/functions.py
 ##
 @@ -30,9 +30,10 @@
 @since(3.0)
 def from_avro(data, jsonFormatSchema, options={}):
 """
-Converts a binary column of avro format into its corresponding catalyst 
value. The specified
-schema must match the read data, otherwise the behavior is undefined: it 
may fail or return
-arbitrary result.
+Converts a binary column of avro format into its corresponding catalyst 
value. If a writer's
 
 Review comment:
   Thanks


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[GitHub] [spark] Fokko commented on a change in pull request #26780: [SPARK-27506][SQL] Allow deserialization of Avro data using compatible schemas

2019-12-10 Thread GitBox
Fokko commented on a change in pull request #26780: [SPARK-27506][SQL] Allow 
deserialization of Avro data using compatible schemas 
URL: https://github.com/apache/spark/pull/26780#discussion_r356433702
 
 

 ##
 File path: 
external/avro/src/main/scala/org/apache/spark/sql/avro/functions.scala
 ##
 @@ -45,9 +45,10 @@ object functions {
   }
 
   /**
-   * Converts a binary column of avro format into its corresponding catalyst 
value. The specified
-   * schema must match the read data, otherwise the behavior is undefined: it 
may fail or return
-   * arbitrary result.
+   * Converts a binary column of avro format into its corresponding catalyst 
value. If a writer's
+   * schema is provided in the options, a different (but compatible) schema 
can be used for reading.
 
 Review comment:
   Good point, thanks


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[GitHub] [spark] cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

2019-12-10 Thread GitBox
cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] 
Implement a helper method for aliasing functions
URL: https://github.com/apache/spark/pull/26808#discussion_r356432760
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/stat/StatFunctions.scala
 ##
 @@ -254,7 +254,8 @@ object StatFunctions extends Logging {
 stats.toLowerCase(Locale.ROOT) match {
   case "count" => (child: Expression) => 
Count(child).toAggregateExpression()
   case "mean" => (child: Expression) => 
Average(child).toAggregateExpression()
-  case "stddev" => (child: Expression) => 
StddevSamp(child).toAggregateExpression()
+  case "stddev" => (child: Expression) =>
+StddevSamp("stddev_samp", child).toAggregateExpression()
 
 Review comment:
   shall we use `stddev` here?


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[GitHub] [spark] cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

2019-12-10 Thread GitBox
cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] 
Implement a helper method for aliasing functions
URL: https://github.com/apache/spark/pull/26808#discussion_r356432466
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/stat/StatFunctions.scala
 ##
 @@ -254,7 +254,8 @@ object StatFunctions extends Logging {
 stats.toLowerCase(Locale.ROOT) match {
   case "count" => (child: Expression) => 
Count(child).toAggregateExpression()
   case "mean" => (child: Expression) => 
Average(child).toAggregateExpression()
-  case "stddev" => (child: Expression) => 
StddevSamp(child).toAggregateExpression()
+  case "stddev" => (child: Expression) =>
+StddevSamp("stddev_samp", child).toAggregateExpression()
 
 Review comment:
   can we create a `object StddevSamp` and define the default name in the 
`apply` method?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26817: [SPARK-30192][SQL] support column position in DS v2

2019-12-10 Thread GitBox
AmplabJenkins removed a comment on issue #26817: [SPARK-30192][SQL] support 
column position in DS v2
URL: https://github.com/apache/spark/pull/26817#issuecomment-564410295
 
 
   Test PASSed.
   Refer to this link for build results (access rights to CI server needed): 
   
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[GitHub] [spark] cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

2019-12-10 Thread GitBox
cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] 
Implement a helper method for aliasing functions
URL: https://github.com/apache/spark/pull/26808#discussion_r356432466
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/stat/StatFunctions.scala
 ##
 @@ -254,7 +254,8 @@ object StatFunctions extends Logging {
 stats.toLowerCase(Locale.ROOT) match {
   case "count" => (child: Expression) => 
Count(child).toAggregateExpression()
   case "mean" => (child: Expression) => 
Average(child).toAggregateExpression()
-  case "stddev" => (child: Expression) => 
StddevSamp(child).toAggregateExpression()
+  case "stddev" => (child: Expression) =>
+StddevSamp("stddev_samp", child).toAggregateExpression()
 
 Review comment:
   can we create a `object StddevSamp` and define the default name in the 
`apply` method?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26817: [SPARK-30192][SQL] support column position in DS v2

2019-12-10 Thread GitBox
AmplabJenkins removed a comment on issue #26817: [SPARK-30192][SQL] support 
column position in DS v2
URL: https://github.com/apache/spark/pull/26817#issuecomment-564410289
 
 
   Merged build finished. Test PASSed.


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[GitHub] [spark] wangyum commented on issue #26844: [SPARK-30211][INFRA] Switch python to python3 in make-distribution.sh

2019-12-10 Thread GitBox
wangyum commented on issue #26844: [SPARK-30211][INFRA] Switch python to 
python3 in make-distribution.sh
URL: https://github.com/apache/spark/pull/26844#issuecomment-564410098
 
 
   SPARK-29672 changed it: 
https://github.com/apache/spark/pull/26330/files#diff-8cf6167d58ce775a08acafcfe6f40966


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[GitHub] [spark] AmplabJenkins commented on issue #26817: [SPARK-30192][SQL] support column position in DS v2

2019-12-10 Thread GitBox
AmplabJenkins commented on issue #26817: [SPARK-30192][SQL] support column 
position in DS v2
URL: https://github.com/apache/spark/pull/26817#issuecomment-564410289
 
 
   Merged build finished. Test PASSed.


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[GitHub] [spark] AmplabJenkins commented on issue #26817: [SPARK-30192][SQL] support column position in DS v2

2019-12-10 Thread GitBox
AmplabJenkins commented on issue #26817: [SPARK-30192][SQL] support column 
position in DS v2
URL: https://github.com/apache/spark/pull/26817#issuecomment-564410295
 
 
   Test PASSed.
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[GitHub] [spark] cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

2019-12-10 Thread GitBox
cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] 
Implement a helper method for aliasing functions
URL: https://github.com/apache/spark/pull/26808#discussion_r356432239
 
 

 ##
 File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/parser/ExpressionParserSuite.scala
 ##
 @@ -794,12 +794,18 @@ class ExpressionParserSuite extends AnalysisTest {
   }
 
   test("Support respect nulls keywords for first_value and last_value") {
-assertEqual("first_value(a ignore nulls)", First('a, 
Literal(true)).toAggregateExpression())
-assertEqual("first_value(a respect nulls)", First('a, 
Literal(false)).toAggregateExpression())
-assertEqual("first_value(a)", First('a, 
Literal(false)).toAggregateExpression())
-assertEqual("last_value(a ignore nulls)", Last('a, 
Literal(true)).toAggregateExpression())
-assertEqual("last_value(a respect nulls)", Last('a, 
Literal(false)).toAggregateExpression())
-assertEqual("last_value(a)", Last('a, 
Literal(false)).toAggregateExpression())
+assertEqual("first_value(a ignore nulls)",
+  First('a, Literal(true)).toAggregateExpression())
 
 Review comment:
   ditto, unnecessary change


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[GitHub] [spark] cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

2019-12-10 Thread GitBox
cloud-fan commented on a change in pull request #26808: [SPARK-30184][SQL] 
Implement a helper method for aliasing functions
URL: https://github.com/apache/spark/pull/26808#discussion_r356432177
 
 

 ##
 File path: 
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/aggregate/LastTestSuite.scala
 ##
 @@ -24,7 +24,8 @@ import org.apache.spark.sql.types.IntegerType
 class LastTestSuite extends SparkFunSuite {
   val input = AttributeReference("input", IntegerType, nullable = true)()
   val evaluator = DeclarativeAggregateEvaluator(Last(input, Literal(false)), 
Seq(input))
-  val evaluatorIgnoreNulls = DeclarativeAggregateEvaluator(Last(input, 
Literal(true)), Seq(input))
+  val evaluatorIgnoreNulls = DeclarativeAggregateEvaluator(
+Last(input, Literal(true)), Seq(input))
 
 Review comment:
   nit: unnecessary change


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[GitHub] [spark] JkSelf opened a new pull request #26846: [SPARK-30213] [SQL]Remove the mutable status in ShuffleQueryStageExec

2019-12-10 Thread GitBox
JkSelf opened a new pull request #26846: [SPARK-30213] [SQL]Remove the mutable 
status in ShuffleQueryStageExec
URL: https://github.com/apache/spark/pull/26846
 
 
   
   
   ### What changes were proposed in this pull request?
   Currently `ShuffleQueryStageExec `contain the mutable status, eg 
`mapOutputStatisticsFuture `variable. So It is not easy to pass when we copy 
`ShuffleQueryStageExec`. This PR will put the `mapOutputStatisticsFuture ` 
variable from `ShuffleQueryStageExec` to `ShuffleExchangeExec`. And then we can 
pass the value of `mapOutputStatisticsFuture ` when copying.
   
   
   
   ### Why are the changes needed?
   In order to remove the mutable status in `ShuffleQueryStageExec`
   
   
   
   ### Does this PR introduce any user-facing change?
   No
   
   
   
   ### How was this patch tested?
   Existing uts
   
   


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[GitHub] [spark] HeartSaVioR commented on issue #24128: [SPARK-27188][SS] FileStreamSink: provide a new option to have retention on output files

2019-12-10 Thread GitBox
HeartSaVioR commented on issue #24128: [SPARK-27188][SS] FileStreamSink: 
provide a new option to have retention on output files
URL: https://github.com/apache/spark/pull/24128#issuecomment-564409487
 
 
   @uncleGen 
   Hi, do you plan to go ahead with your idea? I have been thinking about this 
issue, and your idea seems to be a realistic solution which doesn't introduce 
too much changes. While we may also want to find the solution which could deal 
with most of things, but for now it would be great even only with your idea.
   
   Otherwise, would you mind if I pick your idea up if you're not planning to 
do it?


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[GitHub] [spark] SparkQA commented on issue #26817: [SPARK-30192][SQL] support column position in DS v2

2019-12-10 Thread GitBox
SparkQA commented on issue #26817: [SPARK-30192][SQL] support column position 
in DS v2
URL: https://github.com/apache/spark/pull/26817#issuecomment-564409357
 
 
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[GitHub] [spark] PavithraRamachandran commented on issue #26384: [SPARK-29460] [WEBUI]Add tooltip for Jobs page

2019-12-10 Thread GitBox
PavithraRamachandran commented on issue #26384: [SPARK-29460] [WEBUI]Add 
tooltip for Jobs page
URL: https://github.com/apache/spark/pull/26384#issuecomment-564408513
 
 
   @srowen could you help me re trigger the PR build?


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[GitHub] [spark] HeartSaVioR commented on issue #26845: [SPARK-21869][SS] Revise Kafka producer pool to implement 'expire' correctly

2019-12-10 Thread GitBox
HeartSaVioR commented on issue #26845: [SPARK-21869][SS] Revise Kafka producer 
pool to implement 'expire' correctly
URL: https://github.com/apache/spark/pull/26845#issuecomment-564407397
 
 
   Ah yes I had been investigating the issue. Thanks for reminding! Will update 
soon.


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[GitHub] [spark] amanomer commented on a change in pull request #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

2019-12-10 Thread GitBox
amanomer commented on a change in pull request #26808: [SPARK-30184][SQL] 
Implement a helper method for aliasing functions
URL: https://github.com/apache/spark/pull/26808#discussion_r356428632
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteDistinctAggregates.scala
 ##
 @@ -198,7 +198,7 @@ object RewriteDistinctAggregates extends Rule[LogicalPlan] 
{
 
 // Select the result of the first aggregate in the last aggregate.
 val result = AggregateExpression(
-  aggregate.First(evalWithinGroup(regularGroupId, 
operator.toAttribute), Literal(true)),
+  new aggregate.First(evalWithinGroup(regularGroupId, 
operator.toAttribute), Literal(true)),
 
 Review comment:
   Done


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26832: [SPARK-30202][ML][PYSPARK] impl QuantileTransform

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[GitHub] [spark] SparkQA removed a comment on issue #26832: [SPARK-30202][ML][PYSPARK] impl QuantileTransform

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[GitHub] [spark] SparkQA commented on issue #26832: [SPARK-30202][ML][PYSPARK] impl QuantileTransform

2019-12-10 Thread GitBox
SparkQA commented on issue #26832: [SPARK-30202][ML][PYSPARK] impl 
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URL: https://github.com/apache/spark/pull/26832#issuecomment-564404957
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

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[GitHub] [spark] AmplabJenkins commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

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[GitHub] [spark] SparkQA removed a comment on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

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[GitHub] [spark] SparkQA commented on issue #26803: [SPARK-30178][ML] RobustScaler support large numFeatures

2019-12-10 Thread GitBox
SparkQA commented on issue #26803: [SPARK-30178][ML] RobustScaler support large 
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URL: https://github.com/apache/spark/pull/26803#issuecomment-564404790
 
 
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[GitHub] [spark] SparkQA commented on issue #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

2019-12-10 Thread GitBox
SparkQA commented on issue #26808: [SPARK-30184][SQL] Implement a helper method 
for aliasing functions
URL: https://github.com/apache/spark/pull/26808#issuecomment-564404094
 
 
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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26840: [SPARK-30038][SQL] DESCRIBE FUNCTION should do multi-catalog resolution

2019-12-10 Thread GitBox
dongjoon-hyun commented on a change in pull request #26840: [SPARK-30038][SQL] 
DESCRIBE FUNCTION should do multi-catalog resolution
URL: https://github.com/apache/spark/pull/26840#discussion_r356423436
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
 ##
 @@ -1799,6 +1799,18 @@ class DataSourceV2SQLSuite
 }
   }
 
+  test("DESCRIBE FUNCTION not valid v1 namespace") {
+val e = intercept[AnalysisException] {
+  sql(s"DESCRIBE FUNCTION testcat.ns1.ns2.fun")
 
 Review comment:
   `s"` -> `"`.


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26840: [SPARK-30038][SQL] DESCRIBE FUNCTION should do multi-catalog resolution

2019-12-10 Thread GitBox
dongjoon-hyun commented on a change in pull request #26840: [SPARK-30038][SQL] 
DESCRIBE FUNCTION should do multi-catalog resolution
URL: https://github.com/apache/spark/pull/26840#discussion_r356423491
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/connector/DataSourceV2SQLSuite.scala
 ##
 @@ -1799,6 +1799,18 @@ class DataSourceV2SQLSuite
 }
   }
 
+  test("DESCRIBE FUNCTION not valid v1 namespace") {
+val e = intercept[AnalysisException] {
+  sql(s"DESCRIBE FUNCTION testcat.ns1.ns2.fun")
+}
+assert(e.message.contains("DESCRIBE FUNCTION is only supported in v1 
catalog"))
+
+val e1 = intercept[AnalysisException] {
+  sql(s"DESCRIBE FUNCTION default.ns1.ns2.fun")
 
 Review comment:
   `s"` -> `"`.


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[GitHub] [spark] dongjoon-hyun commented on a change in pull request #26840: [SPARK-30038][SQL] DESCRIBE FUNCTION should do multi-catalog resolution

2019-12-10 Thread GitBox
dongjoon-hyun commented on a change in pull request #26840: [SPARK-30038][SQL] 
DESCRIBE FUNCTION should do multi-catalog resolution
URL: https://github.com/apache/spark/pull/26840#discussion_r356423053
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveSessionCatalog.scala
 ##
 @@ -472,6 +472,19 @@ class ResolveSessionCatalog(
 tableName.asTableIdentifier,
 propertyKey)
 
+case DescribeFunctionStatement(CatalogAndIdentifierParts(catalog, 
functionName), extended) =>
+  val functionIdentifier = if (isSessionCatalog(catalog)) {
+  functionName match {
 
 Review comment:
   ? indentation from line 477 to 483?


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[GitHub] [spark] AmplabJenkins removed a comment on issue #26512: [SPARK-29493][SQL] Arrow MapType support

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

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[GitHub] [spark] AmplabJenkins removed a comment on issue #26512: [SPARK-29493][SQL] Arrow MapType support

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[GitHub] [spark] cloud-fan commented on a change in pull request #26817: [SPARK-30192][SQL] support column position in DS v2

2019-12-10 Thread GitBox
cloud-fan commented on a change in pull request #26817: [SPARK-30192][SQL] 
support column position in DS v2
URL: https://github.com/apache/spark/pull/26817#discussion_r356422627
 
 

 ##
 File path: 
sql/catalyst/src/main/java/org/apache/spark/sql/connector/catalog/TableChange.java
 ##
 @@ -113,7 +114,30 @@ static TableChange addColumn(
   DataType dataType,
   boolean isNullable,
   String comment) {
-return new AddColumn(fieldNames, dataType, isNullable, comment);
+return new AddColumn(fieldNames, dataType, isNullable, comment, null);
+  }
+
+  /**
+   * Create a TableChange for adding a column.
+   * 
+   * If the field already exists, the change will result in an {@link 
IllegalArgumentException}.
+   * If the new field is nested and its parent does not exist or is not a 
struct, the change will
+   * result in an {@link IllegalArgumentException}.
 
 Review comment:
   This doc is for catalog implementations. They should throw 
`IllegalArgumentException` if something goes wrong.


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[GitHub] [spark] AmplabJenkins commented on issue #26808: [SPARK-30184][SQL] Implement a helper method for aliasing functions

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