[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-19 Thread asfgit
Github user asfgit closed the pull request at:

https://github.com/apache/spark/pull/7506


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-19 Thread rxin
Github user rxin commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122638167
  
I've merged this.



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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-19 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122637538
  
Merged build finished. Test PASSed.


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-19 Thread SparkQA
Github user SparkQA commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122637521
  
  [Test build #37759 has 
finished](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/37759/console)
 for   PR 7506 at commit 
[`e44a4a0`](https://github.com/apache/spark/commit/e44a4a0579ea65093fdb7ca39749855be3a50fcd).
 * This patch **passes all tests**.
 * This patch merges cleanly.
 * This patch adds the following public classes _(experimental)_:
  * `case class Hour(child: Expression) extends UnaryExpression with 
ImplicitCastInputTypes `
  * `case class Minute(child: Expression) extends UnaryExpression with 
ImplicitCastInputTypes `
  * `case class Second(child: Expression) extends UnaryExpression with 
ImplicitCastInputTypes `
  * `case class DayOfYear(child: Expression) extends UnaryExpression with 
ImplicitCastInputTypes `
  * `case class Year(child: Expression) extends UnaryExpression with 
ImplicitCastInputTypes `
  * `case class Quarter(child: Expression) extends UnaryExpression with 
ImplicitCastInputTypes `
  * `case class Month(child: Expression) extends UnaryExpression with 
ImplicitCastInputTypes `
  * `case class DayOfMonth(child: Expression) extends UnaryExpression with 
ImplicitCastInputTypes `
  * `case class WeekOfYear(child: Expression) extends UnaryExpression with 
ImplicitCastInputTypes `
  * `case class DateFormatClass(left: Expression, right: Expression) 
extends BinaryExpression`



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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread rxin
Github user rxin commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633558
  
Both MySQL and HANA use dayofmonth, without the underscore?


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread tarekauel
Github user tarekauel commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633436
  
@rxin Could you do this little fix as well?
https://github.com/apache/spark/pull/7505/files

Why do we switch from day_of_month to dayofmonth? Most SQL implementations 
use underscores:
[MySQL](https://dev.mysql.com/doc/refman/5.0/en/func-op-summary-ref.html) 
[SAP 
HANA](http://help.sap.com/saphelp_hanaplatform/helpdata/en/20/9f228975191014baed94f1b69693ae/content.htm?frameset=/en/20/9ddefe75191014ac249bf78ba2a1e9/frameset.htm¤t_toc=/en/2e/1ef8b4f4554739959886e55d4c127b/plain.htm&node_id=91&show_children=false)
 
[Oracle](http://docs.oracle.com/cd/B19306_01/server.102/b14200/functions001.htm#i88891)
I would prefer underscores, because they improve the readability, if you 
write all SQL stuff in caps, like:
`SELECT name, age, DAY_OF_MONTH(birthday) AS birthday FROM people WHERE age 
> 15` compared to `SELECT name, age, DAYOFMONTH(birthday) AS birthday FROM 
people WHERE age > 15`
I'm not a Python pro, but I thought that underscores are 'pythonic', aren't 
they?


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread davies
Github user davies commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633426
  
LGTM


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633378
  
Merged build finished. Test FAILed.


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633291
  
Merged build finished. Test FAILed.


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633260
  
 Merged build triggered.


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633264
  
Merged build started.


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread SparkQA
Github user SparkQA commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633237
  
  [Test build #37759 has 
started](https://amplab.cs.berkeley.edu/jenkins/job/SparkPullRequestBuilder/37759/consoleFull)
 for   PR 7506 at commit 
[`e44a4a0`](https://github.com/apache/spark/commit/e44a4a0579ea65093fdb7ca39749855be3a50fcd).


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633099
  
 Merged build triggered.


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633104
  
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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread rxin
Github user rxin commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633048
  
cc @tarekauel and @davies 


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633012
  
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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread AmplabJenkins
Github user AmplabJenkins commented on the pull request:

https://github.com/apache/spark/pull/7506#issuecomment-122633011
  
 Merged build triggered.


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread rxin
Github user rxin commented on a diff in the pull request:

https://github.com/apache/spark/pull/7506#discussion_r34955144
  
--- Diff: sql/core/src/main/scala/org/apache/spark/sql/functions.scala ---
@@ -1748,182 +1748,6 @@ object functions {
*/
   def length(columnName: String): Column = length(Column(columnName))
 
-  
//
--- End diff --

note that this previously cut right into the middle of string functions so 
I moved them


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[GitHub] spark pull request: [SQL] Make date/time functions more consistent...

2015-07-18 Thread rxin
GitHub user rxin opened a pull request:

https://github.com/apache/spark/pull/7506

[SQL] Make date/time functions more consistent with other database systems.

This renames some of the functions that are just merged in order to be more 
consistent with other databases. Also did some small cleanups.

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

$ git pull https://github.com/rxin/spark datetime

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

https://github.com/apache/spark/pull/7506.patch

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

This closes #7506


commit 9c08fdc73d601bb856a16fca4c8c700dc29f3717
Author: Reynold Xin 
Date:   2015-07-19T06:12:08Z

[SQL] Make date/time functions more consistent with other database systems.

This renames some of the functions that are just merged in order to be more 
consistent with other databases.

Also did some small cleanups.




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