[GitHub] [spark] SparkQA commented on issue #24936: [SPARK-24634][SS] Add a new metric regarding number of rows later than watermark

2019-08-12 Thread GitBox
SparkQA commented on issue #24936: [SPARK-24634][SS] Add a new metric regarding 
number of rows later than watermark
URL: https://github.com/apache/spark/pull/24936#issuecomment-520317681
 
 
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[GitHub] [spark] SparkQA commented on issue #25408: [SPARK-28687][SQL] Support `epoch`, `isoyear`, `milliseconds` and `microseconds` at `extract()`

2019-08-12 Thread GitBox
SparkQA commented on issue #25408: [SPARK-28687][SQL] Support `epoch`, 
`isoyear`, `milliseconds` and `microseconds` at `extract()`
URL: https://github.com/apache/spark/pull/25408#issuecomment-520317682
 
 
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[GitHub] [spark] SparkQA commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

2019-08-12 Thread GitBox
SparkQA commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read 
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URL: https://github.com/apache/spark/pull/25414#issuecomment-520317675
 
 
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[GitHub] [spark] SparkQA commented on issue #25354: [SPARK-28612][SQL] Add DataFrameWriterV2 API

2019-08-12 Thread GitBox
SparkQA commented on issue #25354: [SPARK-28612][SQL] Add DataFrameWriterV2 API
URL: https://github.com/apache/spark/pull/25354#issuecomment-520317680
 
 
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[GitHub] [spark] SparkQA commented on issue #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not supported on a temporary view

2019-08-12 Thread GitBox
SparkQA commented on issue #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not 
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URL: https://github.com/apache/spark/pull/25149#issuecomment-520317679
 
 
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[GitHub] [spark] SparkQA commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

2019-08-12 Thread GitBox
SparkQA commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` 
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URL: https://github.com/apache/spark/pull/25410#issuecomment-520317676
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25408: [SPARK-28687][SQL] Support `epoch`, `isoyear`, `milliseconds` and `microseconds` at `extract()`

2019-08-12 Thread GitBox
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[GitHub] [spark] SparkQA removed a comment on issue #25408: [SPARK-28687][SQL] Support `epoch`, `isoyear`, `milliseconds` and `microseconds` at `extract()`

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SparkQA removed a comment on issue #25408: [SPARK-28687][SQL] Support `epoch`, 
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[GitHub] [spark] AmplabJenkins commented on issue #25408: [SPARK-28687][SQL] Support `epoch`, `isoyear`, `milliseconds` and `microseconds` at `extract()`

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[GitHub] [spark] AmplabJenkins commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

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[GitHub] [spark] AmplabJenkins commented on issue #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not supported on a temporary view

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[GitHub] [spark] AmplabJenkins commented on issue #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not supported on a temporary view

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[GitHub] [spark] AmplabJenkins commented on issue #24936: [SPARK-24634][SS] Add a new metric regarding number of rows later than watermark

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[GitHub] [spark] AmplabJenkins commented on issue #24936: [SPARK-24634][SS] Add a new metric regarding number of rows later than watermark

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[GitHub] [spark] AmplabJenkins commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

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[GitHub] [spark] AmplabJenkins commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

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[GitHub] [spark] AmplabJenkins commented on issue #25354: [SPARK-28612][SQL] Add DataFrameWriterV2 API

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[GitHub] [spark] AmplabJenkins commented on issue #25354: [SPARK-28612][SQL] Add DataFrameWriterV2 API

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not supported on a temporary view

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24936: [SPARK-24634][SS] Add a new metric regarding number of rows later than watermark

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25408: [SPARK-28687][SQL] Support `epoch`, `isoyear`, `milliseconds` and `microseconds` at `extract()`

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[GitHub] [spark] SparkQA removed a comment on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

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[GitHub] [spark] SparkQA removed a comment on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

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[GitHub] [spark] SparkQA removed a comment on issue #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not supported on a temporary view

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[GitHub] [spark] SparkQA removed a comment on issue #25354: [SPARK-28612][SQL] Add DataFrameWriterV2 API

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[GitHub] [spark] AmplabJenkins commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

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[GitHub] [spark] SparkQA removed a comment on issue #24936: [SPARK-24634][SS] Add a new metric regarding number of rows later than watermark

2019-08-12 Thread GitBox
SparkQA removed a comment on issue #24936: [SPARK-24634][SS] Add a new metric 
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URL: https://github.com/apache/spark/pull/24936#issuecomment-520305959
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25408: [SPARK-28687][SQL] Support `epoch`, `isoyear`, `milliseconds` and `microseconds` at `extract()`

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[GitHub] [spark] AmplabJenkins removed a comment on issue #24936: [SPARK-24634][SS] Add a new metric regarding number of rows later than watermark

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25354: [SPARK-28612][SQL] Add DataFrameWriterV2 API

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[GitHub] [spark] dilipbiswal commented on issue #25331: [SPARK-27768][SQL] Infinity, -Infinity, NaN should be recognized in a case insensitive manner.

2019-08-12 Thread GitBox
dilipbiswal commented on issue #25331: [SPARK-27768][SQL] Infinity, -Infinity, 
NaN should be recognized in a case insensitive manner.
URL: https://github.com/apache/spark/pull/25331#issuecomment-520318291
 
 
   @dongjoon-hyun Looks like https://github.com/apache/spark/pull/24881 is 
waiting on this ? Should we get this in while we wait on a decision on a 
migration guide change and take it as a follow-up ? I am fine to wait if we 
want to make the doc change in one pr :-) 


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[GitHub] [spark] beliefer opened a new pull request #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2019-08-12 Thread GitBox
beliefer opened a new pull request #25416: [SPARK-28330][SQL] Support ANSI SQL: 
result offset clause in query expression
URL: https://github.com/apache/spark/pull/25416
 
 
   ## What changes were proposed in this pull request?
   
   This is a ANSI SQL and feature id is `F861`
   ```
::=
   [  ] 
   [  ] [  ] [  ]
   
::=
   OFFSET  { ROW | ROWS }
   ```
   For example:
   ```
   SELECT customer_name, customer_gender FROM customer_dimension 
  WHERE occupation='Dancer' AND customer_city = 'San Francisco' ORDER BY 
customer_name;
   customer_name | customer_gender
   --+-
Amy X. Lang  | Female
Anna H. Li   | Female
Brian O. Weaver  | Male
Craig O. Pavlov  | Male
Doug Z. Goldberg | Male
Harold S. Jones  | Male
Jack E. Perkins  | Male
Joseph W. Overstreet | Male
Kevin . Campbell | Male
Raja Y. Wilson   | Male
Samantha O. Brown| Female
Steve H. Gauthier| Male
William . Nielson| Male
William Z. Roy   | Male
   (14 rows)
   
   SELECT customer_name, customer_gender FROM customer_dimension 
  WHERE occupation='Dancer' AND customer_city = 'San Francisco' ORDER BY 
customer_name OFFSET 8;
  customer_name   | customer_gender
   ---+-
Kevin . Campbell  | Male
Raja Y. Wilson| Male
Samantha O. Brown | Female
Steve H. Gauthier | Male
William . Nielson | Male
William Z. Roy| Male
   (6 rows)
   ```
   There are some mainstream database support the syntax.
   **PostgreSQL:**
   https://www.postgresql.org/docs/11/queries-limit.html
   
   **Vertica:**
   
https://www.vertica.com/docs/9.2.x/HTML/Content/Authoring/SQLReferenceManual/Statements/SELECT/OFFSETClause.htm?zoom_highlight=offset
   
   **MySQL:**
   https://dev.mysql.com/doc/refman/5.6/en/select.html
   
   ## How was this patch tested?
   new UT.
   There are some show of the PR on my production environment.
   ```
   spark-sql> select * from gja_test_partition;
   a   A   ao  1
   b   B   bo  1
   c   C   co  1
   d   D   do  1
   e   E   eo  2
   g   G   go  2
   h   H   ho  2
   j   J   jo  2
   f   F   fo  3
   k   K   ko  3
   l   L   lo  4
   i   I   io  4
   Time taken: 6.618 s
   spark-sql> select * from gja_test_partition offset 3;
   d   D   do  1
   e   E   eo  2
   g   G   go  2
   h   H   ho  2
   j   J   jo  2
   f   F   fo  3
   k   K   ko  3
   l   L   lo  4
   i   I   io  4
   Time taken: 6.368 s
   spark-sql> select * from gja_test_partition limit 5 offset 3;
   d   D   do  1
   e   E   eo  2
   g   G   go  2
   h   H   ho  2
   j   J   jo  2
   Time taken: 25.141 s
   spark-sql> select * from gja_test_partition order by key;
   a   A   ao  1
   b   B   bo  1
   c   C   co  1
   d   D   do  1
   e   E   eo  2
   f   F   fo  3
   g   G   go  2
   h   H   ho  2
   i   I   io  4
   j   J   jo  2
   k   K   ko  3
   l   L   lo  4
   Time taken: 16.894 s
   spark-sql> select * from gja_test_partition order by key offset 3;
   d   D   do  1
   e   E   eo  2
   f   F   fo  3
   g   G   go  2
   h   H   ho  2
   i   I   io  4
   j   J   jo  2
   k   K   ko  3
   l   L   lo  4
   Time taken: 19.191 s
   spark-sql> select * from gja_test_partition order by key limit 5 offset 3;
   d   D   do  1
   e   E   eo  2
   f   F   fo  3
   g   G   go  2
   h   H   ho  2
   Time taken: 12.556 s
   ```


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not supported on a temporary view

2019-08-12 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

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[GitHub] [spark] Udbhav30 commented on issue #24601: [SPARK-27702][K8S] Allow using some alternatives for service accounts

2019-08-12 Thread GitBox
Udbhav30 commented on issue #24601: [SPARK-27702][K8S] Allow using some 
alternatives for service accounts
URL: https://github.com/apache/spark/pull/24601#issuecomment-520318407
 
 
   > could you describe the test procedure in the `How was this patch tested?` 
section of PR description? For example, how to create new service account and 
how to use that?
   
   Sure! thanks @dongjoon-hyun 
   Yes i have updated in PR if there is no service account how user can have 
alternatives to it. 
   
   
   


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25354: [SPARK-28612][SQL] Add DataFrameWriterV2 API

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[GitHub] [spark] beliefer removed a comment on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

2019-08-12 Thread GitBox
beliefer removed a comment on issue #25172: [SPARK-28412][SQL] ANSI SQL: 
OVERLAY function support byte array
URL: https://github.com/apache/spark/pull/25172#issuecomment-519867222
 
 
   @maropu @dongjoon-hyun  Could you take a look at this PR? Thanks.


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[GitHub] [spark] AmplabJenkins removed a comment on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

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[GitHub] [spark] beliefer commented on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY function support byte array

2019-08-12 Thread GitBox
beliefer commented on issue #25172: [SPARK-28412][SQL] ANSI SQL: OVERLAY 
function support byte array
URL: https://github.com/apache/spark/pull/25172#issuecomment-520318732
 
 
   @maropu I have followed your suggestion, could you take a look again?


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[GitHub] [spark] AmplabJenkins commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2019-08-12 Thread GitBox
AmplabJenkins commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: 
result offset clause in query expression
URL: https://github.com/apache/spark/pull/25416#issuecomment-520318942
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] AmplabJenkins commented on issue #25408: [SPARK-28687][SQL] Support `epoch`, `isoyear`, `milliseconds` and `microseconds` at `extract()`

2019-08-12 Thread GitBox
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[GitHub] [spark] AmplabJenkins commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

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[GitHub] [spark] AmplabJenkins commented on issue #25408: [SPARK-28687][SQL] Support `epoch`, `isoyear`, `milliseconds` and `microseconds` at `extract()`

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[GitHub] [spark] AmplabJenkins commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

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[GitHub] [spark] MaxGekk commented on a change in pull request #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

2019-08-12 Thread GitBox
MaxGekk commented on a change in pull request #25410: [SPARK-28690][SQL] Add 
the `date_part` function for timestamps and dates
URL: https://github.com/apache/spark/pull/25410#discussion_r312798763
 
 

 ##
 File path: 
sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/datetimeExpressions.scala
 ##
 @@ -1876,3 +1876,38 @@ case class Decade(child: Expression) extends 
UnaryExpression with ImplicitCastIn
 defineCodeGen(ctx, ev, c => s"$dtu.getDecade($c)")
   }
 }
+
+case class DatePart(field: Expression, source: Expression, child: Expression)
 
 Review comment:
   I ran new test `date_part.sql` via:
   ```shell
   build/sbt "sql/test-only *SQLQueryTestSuite -- -z date_part.sql"
   ```
   but didn't get the error.


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[GitHub] [spark] SparkQA commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2019-08-12 Thread GitBox
SparkQA commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result 
offset clause in query expression
URL: https://github.com/apache/spark/pull/25416#issuecomment-520319604
 
 
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[GitHub] [spark] SparkQA commented on issue #25408: [SPARK-28687][SQL] Support `epoch`, `isoyear`, `milliseconds` and `microseconds` at `extract()`

2019-08-12 Thread GitBox
SparkQA commented on issue #25408: [SPARK-28687][SQL] Support `epoch`, 
`isoyear`, `milliseconds` and `microseconds` at `extract()`
URL: https://github.com/apache/spark/pull/25408#issuecomment-520319603
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2019-08-12 Thread GitBox
AmplabJenkins removed a comment on issue #25416: [SPARK-28330][SQL] Support 
ANSI SQL: result offset clause in query expression
URL: https://github.com/apache/spark/pull/25416#issuecomment-520318942
 
 
   Can one of the admins verify this patch?


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[GitHub] [spark] AmplabJenkins commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

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result offset clause in query expression
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[GitHub] [spark] SparkQA commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2019-08-12 Thread GitBox
SparkQA commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result 
offset clause in query expression
URL: https://github.com/apache/spark/pull/25416#issuecomment-520319863
 
 
   **[Test build #108955 has 
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[`b1c04e1`](https://github.com/apache/spark/commit/b1c04e1317870bc21f04ae1e3481bbc67a102b3d).
* This patch **fails Scala style tests**.
* This patch merges cleanly.
* This patch adds no public classes.


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[GitHub] [spark] MaxGekk commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

2019-08-12 Thread GitBox
MaxGekk commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` 
function for timestamps and dates
URL: https://github.com/apache/spark/pull/25410#issuecomment-520319799
 
 
   jenkins, retest this, please


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[GitHub] [spark] SparkQA removed a comment on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2019-08-12 Thread GitBox
SparkQA removed a comment on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: 
result offset clause in query expression
URL: https://github.com/apache/spark/pull/25416#issuecomment-520319604
 
 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

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AmplabJenkins removed a comment on issue #25410: [SPARK-28690][SQL] Add the 
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[GitHub] [spark] AmplabJenkins commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

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[GitHub] [spark] AmplabJenkins commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

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[GitHub] [spark] AmplabJenkins removed a comment on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

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[GitHub] [spark] AngersZhuuuu commented on issue #25201: [SPARK-28419][SQL] Enable SparkThriftServer support proxy user's authentication .

2019-08-12 Thread GitBox
AngersZh commented on issue #25201: [SPARK-28419][SQL] Enable 
SparkThriftServer support proxy user's authentication .
URL: https://github.com/apache/spark/pull/25201#issuecomment-520320785
 
 
   @gatorsmile 
In my pr, I will create a HiveClientImple for each user to let them have 
their own Hive privilege.
   But all old Unit Test is to start a local mode hive metastore, it conflict 
to my method. cause all SparkThriftServer Unit test failed
   


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[GitHub] [spark] SparkQA commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` function for timestamps and dates

2019-08-12 Thread GitBox
SparkQA commented on issue #25410: [SPARK-28690][SQL] Add the `date_part` 
function for timestamps and dates
URL: https://github.com/apache/spark/pull/25410#issuecomment-520321258
 
 
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[GitHub] [spark] hddong commented on issue #25412: [SPARK-28691][EXAMPLES] DirectKafkaWordCount supoort kafka with kerberos

2019-08-12 Thread GitBox
hddong commented on issue #25412: [SPARK-28691][EXAMPLES] DirectKafkaWordCount 
supoort kafka with kerberos
URL: https://github.com/apache/spark/pull/25412#issuecomment-520322215
 
 
   > Hi, @hddong . Thank you for making a PR.
   > 
   > * Since `DirectKafkaWordCount.scala` and `JavaDirectKafkaWordCount.java` 
is a pair for language parity, this PR should update them together consistently.
   > * And, just out of curiosity, why do you want to have a Kerberized example 
at `DirectKafkaWordCount`? Do you want to change another examples like 
`StructuredKafkaWordCount.scala`, too?
   
   1. `JavaDirectKafkaWordCount.java`  done. 
   
   2. Most of our environment is Kerberized, when we do test if sparkstreaming 
can read from kafka normally in some case, we need to copy one more jar from 
somewhere else. So, I think it will be convenient if examples can test by 
default.
   
   3. I'm glad to change other like `StructuredKafkaWordCount.scala` , I will 
make a new PR later


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[GitHub] [spark] hddong edited a comment on issue #25412: [SPARK-28691][EXAMPLES] DirectKafkaWordCount supoort kafka with kerberos

2019-08-12 Thread GitBox
hddong edited a comment on issue #25412: [SPARK-28691][EXAMPLES] 
DirectKafkaWordCount supoort kafka with kerberos
URL: https://github.com/apache/spark/pull/25412#issuecomment-520322215
 
 
   > Hi, @hddong . Thank you for making a PR.
   > 
   > * Since `DirectKafkaWordCount.scala` and `JavaDirectKafkaWordCount.java` 
is a pair for language parity, this PR should update them together consistently.
   > * And, just out of curiosity, why do you want to have a Kerberized example 
at `DirectKafkaWordCount`? Do you want to change another examples like 
`StructuredKafkaWordCount.scala`, too?
   
   1. `JavaDirectKafkaWordCount.java`  done. 
   
   2. Most of our environment is Kerberized, when we test if sparkstreaming can 
read from kafka normally in some case, we need to copy one more jar from 
somewhere else. So, I think it will be convenient if examples can test by 
default.
   
   3. I'm glad to change other like `StructuredKafkaWordCount.scala` , I will 
make a new PR later


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[GitHub] [spark] WeichenXu123 commented on issue #25391: [SPARK-28366][CORE][FOLLOW-UP] Refine logging in driver when loading single large unsplittable file

2019-08-12 Thread GitBox
WeichenXu123 commented on issue #25391: [SPARK-28366][CORE][FOLLOW-UP] Refine 
logging in driver when loading single large unsplittable file
URL: https://github.com/apache/spark/pull/25391#issuecomment-520322618
 
 
   CC @cloud-fan 


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[GitHub] [spark] wangyum opened a new pull request #25417: [SPARK-28686][SQL][TEST] Move udf_radians from HiveCompatibilitySuite to HiveQuerySuite

2019-08-12 Thread GitBox
wangyum opened a new pull request #25417: [SPARK-28686][SQL][TEST] Move 
udf_radians from HiveCompatibilitySuite to HiveQuerySuite
URL: https://github.com/apache/spark/pull/25417
 
 
   ## What changes were proposed in this pull request?
   
   This PR moves `udf_radians` from `HiveCompatibilitySuite` to 
`HiveQuerySuite` to make it easy to test with JDK 11 because it results 
different value from JDK 9:
   ```java
   public class TestRadians {
 public static void main(String[] args) {
   System.out.println(java.lang.Math.toRadians(57.2958));
 }
   }
   ```
   ```sh
   [root@spark-3267648 ~]# javac TestRadians.java
   [root@spark-3267648 ~]# /usr/lib/jdk-11.0.3/bin/java TestRadians
   1.003575641672
   [root@spark-3267648 ~]# /usr/lib/jdk8u222-b10/bin/java TestRadians
   1.00357564167
   ```
   
   ## How was this patch tested?
   
   manual tests
   


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[GitHub] [spark] wangyum commented on a change in pull request #25417: [SPARK-28686][SQL][TEST] Move udf_radians from HiveCompatibilitySuite to HiveQuerySuite

2019-08-12 Thread GitBox
wangyum commented on a change in pull request #25417: [SPARK-28686][SQL][TEST] 
Move udf_radians from HiveCompatibilitySuite to HiveQuerySuite
URL: https://github.com/apache/spark/pull/25417#discussion_r312803739
 
 

 ##
 File path: 
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
 ##
 @@ -1207,6 +1208,22 @@ class HiveQuerySuite extends HiveComparisonTest with 
SQLTestUtils with BeforeAnd
   }
 }
   }
+
+  // This test case is moved from HiveCompatibilitySuite to make it easy to 
test with JDK 11.
+  test("udf_radians") {
+withSQLConf("hive.fetch.task.conversion" -> "more") {
+  val result = sql("select radians(57.2958) FROM src tablesample (1 
rows)").collect()
+  if (SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9)) {
 
 Review comment:
   It's from JDK 9:
   ```shell
   [root@spark-3267648 jdk-9.0.4+11]# bin/jshell
   |  Welcome to JShell -- Version 9.0.4
   |  For an introduction type: /help intro
   
   jshell> System.out.println(java.lang.Math.toRadians(57.2958));
   1.003575641672
   ```


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[GitHub] [spark] AmplabJenkins commented on issue #25417: [SPARK-28686][SQL][TEST] Move udf_radians from HiveCompatibilitySuite to HiveQuerySuite

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AmplabJenkins commented on issue #25417: [SPARK-28686][SQL][TEST] Move 
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[GitHub] [spark] AmplabJenkins commented on issue #25417: [SPARK-28686][SQL][TEST] Move udf_radians from HiveCompatibilitySuite to HiveQuerySuite

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AmplabJenkins commented on issue #25417: [SPARK-28686][SQL][TEST] Move 
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[GitHub] [spark] SparkQA commented on issue #25417: [SPARK-28686][SQL][TEST] Move udf_radians from HiveCompatibilitySuite to HiveQuerySuite

2019-08-12 Thread GitBox
SparkQA commented on issue #25417: [SPARK-28686][SQL][TEST] Move udf_radians 
from HiveCompatibilitySuite to HiveQuerySuite
URL: https://github.com/apache/spark/pull/25417#issuecomment-520325013
 
 
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[GitHub] [spark] sarutak commented on issue #25374: [SPARK-28647][WEBUI] Remove additional-metrics.js

2019-08-12 Thread GitBox
sarutak commented on issue #25374: [SPARK-28647][WEBUI] Remove 
additional-metrics.js
URL: https://github.com/apache/spark/pull/25374#issuecomment-520325273
 
 
   @srowen Thanks for reminding me. I've updated.


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[GitHub] [spark] AmplabJenkins commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2019-08-12 Thread GitBox
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URL: https://github.com/apache/spark/pull/25416#issuecomment-520326362
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2019-08-12 Thread GitBox
AmplabJenkins commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: 
result offset clause in query expression
URL: https://github.com/apache/spark/pull/25416#issuecomment-520326368
 
 
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[GitHub] [spark] wangyum commented on a change in pull request #25417: [SPARK-28686][SQL][TEST] Move udf_radians from HiveCompatibilitySuite to HiveQuerySuite

2019-08-12 Thread GitBox
wangyum commented on a change in pull request #25417: [SPARK-28686][SQL][TEST] 
Move udf_radians from HiveCompatibilitySuite to HiveQuerySuite
URL: https://github.com/apache/spark/pull/25417#discussion_r312803739
 
 

 ##
 File path: 
sql/hive/src/test/scala/org/apache/spark/sql/hive/execution/HiveQuerySuite.scala
 ##
 @@ -1207,6 +1208,22 @@ class HiveQuerySuite extends HiveComparisonTest with 
SQLTestUtils with BeforeAnd
   }
 }
   }
+
+  // This test case is moved from HiveCompatibilitySuite to make it easy to 
test with JDK 11.
+  test("udf_radians") {
+withSQLConf("hive.fetch.task.conversion" -> "more") {
+  val result = sql("select radians(57.2958) FROM src tablesample (1 
rows)").collect()
+  if (SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9)) {
 
 Review comment:
   It's from JDK 9:
   ```shell
   [root@spark-3267648 jdk-9.0.4+11]# bin/jshell
   |  Welcome to JShell -- Version 9.0.4
   |  For an introduction type: /help intro
   
   jshell> System.out.println(java.lang.Math.toRadians(57.2958));
   1.003575641672
   ```


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[GitHub] [spark] SparkQA commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result offset clause in query expression

2019-08-12 Thread GitBox
SparkQA commented on issue #25416: [SPARK-28330][SQL] Support ANSI SQL: result 
offset clause in query expression
URL: https://github.com/apache/spark/pull/25416#issuecomment-520326885
 
 
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[GitHub] [spark] wangyum commented on a change in pull request #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

2019-08-12 Thread GitBox
wangyum commented on a change in pull request #25414: [SPARK-28688][SQL][TEST] 
Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala 
on JDK 11
URL: https://github.com/apache/spark/pull/25414#discussion_r312808404
 
 

 ##
 File path: 
sql/hive/src/test/scala/org/apache/spark/sql/hive/client/VersionsSuite.scala
 ##
 @@ -620,6 +620,8 @@ class VersionsSuite extends SparkFunSuite with Logging {
 test(s"$version: sql read hive materialized view") {
   // HIVE-14249 Since Hive 2.3.0, materialized view is supported.
   if (version == "2.3" || version == "3.0" || version == "3.1") {
+// Since Hive 3.0(HIVE-19383), client.runSqlHive is not supported on 
JDK 11.
+assume(!(SystemUtils.isJavaVersionAtLeast(JavaVersion.JAVA_9) && 
version != "2.3"))
 
 Review comment:
   How about?
   ```
   // Since Hive 3.0(HIVE-19383), we can not run local mapreduce by 
`client.runSqlHive` with JDK 11.
   ```


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[GitHub] [spark] wangyum commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

2019-08-12 Thread GitBox
wangyum commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read 
hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11
URL: https://github.com/apache/spark/pull/25414#issuecomment-520328686
 
 
   retest this please


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[GitHub] [spark] SparkQA commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

2019-08-12 Thread GitBox
SparkQA commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read 
hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11
URL: https://github.com/apache/spark/pull/25414#issuecomment-520328885
 
 
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[GitHub] [spark] AmplabJenkins commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

2019-08-12 Thread GitBox
AmplabJenkins commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test 
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[GitHub] [spark] AmplabJenkins commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

2019-08-12 Thread GitBox
AmplabJenkins commented on issue #25414: [SPARK-28688][SQL][TEST] Skip test 
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

2019-08-12 Thread GitBox
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[GitHub] [spark] AmplabJenkins removed a comment on issue #25414: [SPARK-28688][SQL][TEST] Skip test `read hive materialized view` since Hive 3.0 in VersionsSuite.scala on JDK 11

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[GitHub] [spark] wangyum commented on a change in pull request #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not supported on a temporary view

2019-08-12 Thread GitBox
wangyum commented on a change in pull request #25149: [SPARK-28383][SQL] SHOW 
CREATE TABLE is not supported on a temporary view
URL: https://github.com/apache/spark/pull/25149#discussion_r312814045
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/execution/SQLViewSuite.scala
 ##
 @@ -159,7 +159,9 @@ abstract class SQLViewSuite extends QueryTest with 
SQLTestUtils {
 
Thread.currentThread().getContextClassLoader.getResource("data/files/employee.dat")
   assertNoSuchTable(s"""LOAD DATA LOCAL INPATH "$dataFilePath" INTO TABLE 
$viewName""")
   assertNoSuchTable(s"TRUNCATE TABLE $viewName")
-  assertNoSuchTable(s"SHOW CREATE TABLE $viewName")
+  intercept[AnalysisException] {
 
 Review comment:
   Fixed


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[GitHub] [spark] wangyum commented on a change in pull request #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not supported on a temporary view

2019-08-12 Thread GitBox
wangyum commented on a change in pull request #25149: [SPARK-28383][SQL] SHOW 
CREATE TABLE is not supported on a temporary view
URL: https://github.com/apache/spark/pull/25149#discussion_r312814019
 
 

 ##
 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/command/tables.scala
 ##
 @@ -949,16 +949,22 @@ case class ShowCreateTableCommand(table: 
TableIdentifier) extends RunnableComman
 
   override def run(sparkSession: SparkSession): Seq[Row] = {
 val catalog = sparkSession.sessionState.catalog
-val tableMetadata = catalog.getTableMetadata(table)
-
-// TODO: unify this after we unify the CREATE TABLE syntax for hive serde 
and data source table.
-val stmt = if (DDLUtils.isDatasourceTable(tableMetadata)) {
-  showCreateDataSourceTable(tableMetadata)
+if (catalog.isTemporaryTable(table)) {
+  throw new AnalysisException(
+s"SHOW CREATE TABLE is not supported on a temporary view: 
${table.identifier}")
 } else {
-  showCreateHiveTable(tableMetadata)
-}
+  val tableMetadata = catalog.getTableMetadata(table)
 
-Seq(Row(stmt))
+  // TODO: unify this after we unify the
 
 Review comment:
   Done: https://issues.apache.org/jira/browse/SPARK-28692


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[GitHub] [spark] SparkQA commented on issue #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not supported on a temporary view

2019-08-12 Thread GitBox
SparkQA commented on issue #25149: [SPARK-28383][SQL] SHOW CREATE TABLE is not 
supported on a temporary view
URL: https://github.com/apache/spark/pull/25149#issuecomment-520335205
 
 
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[GitHub] [spark] HyukjinKwon commented on a change in pull request #25415: [SPARK-28390][SQL][PYTHON][TESTS] [FOLLOW-UP]Convert and port 'pgSQL/select_having.sql' into UDF test base

2019-08-12 Thread GitBox
HyukjinKwon commented on a change in pull request #25415: 
[SPARK-28390][SQL][PYTHON][TESTS] [FOLLOW-UP]Convert and port 
'pgSQL/select_having.sql' into UDF test base
URL: https://github.com/apache/spark/pull/25415#discussion_r312816773
 
 

 ##
 File path: 
sql/core/src/test/resources/sql-tests/inputs/udf/pgSQL/udf-select_having.sql
 ##
 @@ -6,7 +6,7 @@
 -- 
https://github.com/postgres/postgres/blob/REL_12_BETA2/src/test/regress/sql/select_having.sql
 --
 -- This test file was converted from inputs/pgSQL/select_having.sql
--- TODO: We should add UDFs in GROUP BY clause when [SPARK-28445] is resolved.
+-- TODO: We should add UDFs in GROUP BY clause when [SPARK-28386] and 
[SPARK-26741] is resolved.
 
 Review comment:
   I am a bit lost about this or I forget something.
   Can't we add UDF in group-by clause (resolved in SPARK-28445)?


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[GitHub] [spark] advancedxy commented on a change in pull request #25398: [SPARK-28659][SQL] Use data source if convertible in insert overwrite directory

2019-08-12 Thread GitBox
advancedxy commented on a change in pull request #25398: [SPARK-28659][SQL] Use 
data source if convertible in insert overwrite directory
URL: https://github.com/apache/spark/pull/25398#discussion_r312814580
 
 

 ##
 File path: 
sql/core/src/test/scala/org/apache/spark/sql/sources/InsertSuite.scala
 ##
 @@ -441,7 +441,6 @@ class InsertSuite extends DataSourceTest with 
SharedSQLContext {
 sql(
   s"""
  |INSERT OVERWRITE LOCAL DIRECTORY '$path'
- |STORED AS orc
 
 Review comment:
   I believe the test case name should be modified correspondingly and a new 
test case for (orc/parquet) should be added.


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