[jira] [Updated] (SPARK-30273) Add melt() function

2019-12-16 Thread Shelby Vanhooser (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-30273?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shelby Vanhooser updated SPARK-30273:
-
Description: 
- Adds melt() functionality based on 
[this]([https://stackoverflow.com/a/41673644/12474509)] implementation

 

[https://github.com/apache/spark/pull/26912/files]

  was:- Adds melt() functionality based on 
[this]([https://stackoverflow.com/a/41673644/12474509)] implementation


> Add melt() function
> ---
>
> Key: SPARK-30273
> URL: https://issues.apache.org/jira/browse/SPARK-30273
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 2.4.4
>Reporter: Shelby Vanhooser
>Priority: Major
>  Labels: PySpark, feature
>
> - Adds melt() functionality based on 
> [this]([https://stackoverflow.com/a/41673644/12474509)] implementation
>  
> [https://github.com/apache/spark/pull/26912/files]



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[jira] [Created] (SPARK-30273) Add melt() function

2019-12-16 Thread Shelby Vanhooser (Jira)
Shelby Vanhooser created SPARK-30273:


 Summary: Add melt() function
 Key: SPARK-30273
 URL: https://issues.apache.org/jira/browse/SPARK-30273
 Project: Spark
  Issue Type: Improvement
  Components: PySpark
Affects Versions: 2.4.4
Reporter: Shelby Vanhooser


- Adds melt() functionality based on 
[this]([https://stackoverflow.com/a/41673644/12474509)] implementation



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[jira] [Updated] (SPARK-30273) Add melt() function

2019-12-16 Thread Shelby Vanhooser (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-30273?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shelby Vanhooser updated SPARK-30273:
-
Labels: PySpark feature  (was: )

> Add melt() function
> ---
>
> Key: SPARK-30273
> URL: https://issues.apache.org/jira/browse/SPARK-30273
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 2.4.4
>Reporter: Shelby Vanhooser
>Priority: Major
>  Labels: PySpark, feature
>
> - Adds melt() functionality based on 
> [this]([https://stackoverflow.com/a/41673644/12474509)] implementation



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[jira] [Commented] (SPARK-30257) Mapping simpleString to Spark SQL types

2019-12-13 Thread Shelby Vanhooser (Jira)


[ 
https://issues.apache.org/jira/browse/SPARK-30257?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel=16995896#comment-16995896
 ] 

Shelby Vanhooser commented on SPARK-30257:
--

All tests passing! 

> Mapping simpleString to Spark SQL types
> ---
>
> Key: SPARK-30257
> URL: https://issues.apache.org/jira/browse/SPARK-30257
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 2.4.4
>Reporter: Shelby Vanhooser
>Priority: Critical
>
> The PySpark mapping from simpleString to Spark SQL types are too manual right 
> now; instead, pyspark.sql.types should expose a method that maps the 
> simpleString representation of these types to the underlying Spark SQL ones
>  
> Tracked here : [https://github.com/apache/spark/pull/26884]



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[jira] [Updated] (SPARK-30257) Mapping simpleString to Spark SQL types

2019-12-13 Thread Shelby Vanhooser (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-30257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shelby Vanhooser updated SPARK-30257:
-
Labels: PySpark feature  (was: )

> Mapping simpleString to Spark SQL types
> ---
>
> Key: SPARK-30257
> URL: https://issues.apache.org/jira/browse/SPARK-30257
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 2.4.4
>Reporter: Shelby Vanhooser
>Priority: Critical
>  Labels: PySpark, feature
>
> The PySpark mapping from simpleString to Spark SQL types are too manual right 
> now; instead, pyspark.sql.types should expose a method that maps the 
> simpleString representation of these types to the underlying Spark SQL ones
>  
> Tracked here : [https://github.com/apache/spark/pull/26884]



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[jira] [Updated] (SPARK-30257) Mapping simpleString to Spark SQL types

2019-12-13 Thread Shelby Vanhooser (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-30257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shelby Vanhooser updated SPARK-30257:
-
Component/s: (was: Input/Output)
 PySpark

> Mapping simpleString to Spark SQL types
> ---
>
> Key: SPARK-30257
> URL: https://issues.apache.org/jira/browse/SPARK-30257
> Project: Spark
>  Issue Type: Improvement
>  Components: PySpark
>Affects Versions: 2.4.4
>Reporter: Shelby Vanhooser
>Priority: Critical
>
> The PySpark mapping from simpleString to Spark SQL types are too manual right 
> now; instead, pyspark.sql.types should expose a method that maps the 
> simpleString representation of these types to the underlying Spark SQL ones
>  
> Tracked here : [https://github.com/apache/spark/pull/26884]



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[jira] [Updated] (SPARK-30257) Mapping simpleString to Spark SQL types

2019-12-13 Thread Shelby Vanhooser (Jira)


 [ 
https://issues.apache.org/jira/browse/SPARK-30257?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Shelby Vanhooser updated SPARK-30257:
-
Description: 
The PySpark mapping from simpleString to Spark SQL types are too manual right 
now; instead, pyspark.sql.types should expose a method that maps the 
simpleString representation of these types to the underlying Spark SQL ones

 

Tracked here : [https://github.com/apache/spark/pull/26884]

  was:The PySpark mapping from simpleString to Spark SQL types are too manual 
right now; instead, pyspark.sql.types should expose a method that maps the 
simpleString representation of these types to the underlying Spark SQL ones


> Mapping simpleString to Spark SQL types
> ---
>
> Key: SPARK-30257
> URL: https://issues.apache.org/jira/browse/SPARK-30257
> Project: Spark
>  Issue Type: Improvement
>  Components: Input/Output
>Affects Versions: 2.4.4
>Reporter: Shelby Vanhooser
>Priority: Critical
>
> The PySpark mapping from simpleString to Spark SQL types are too manual right 
> now; instead, pyspark.sql.types should expose a method that maps the 
> simpleString representation of these types to the underlying Spark SQL ones
>  
> Tracked here : [https://github.com/apache/spark/pull/26884]



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[jira] [Created] (SPARK-30257) Mapping simpleString to Spark SQL types

2019-12-13 Thread Shelby Vanhooser (Jira)
Shelby Vanhooser created SPARK-30257:


 Summary: Mapping simpleString to Spark SQL types
 Key: SPARK-30257
 URL: https://issues.apache.org/jira/browse/SPARK-30257
 Project: Spark
  Issue Type: Improvement
  Components: Input/Output
Affects Versions: 2.4.4
Reporter: Shelby Vanhooser


The PySpark mapping from simpleString to Spark SQL types are too manual right 
now; instead, pyspark.sql.types should expose a method that maps the 
simpleString representation of these types to the underlying Spark SQL ones



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[jira] [Created] (SPARK-26860) RangeBetween docs appear to be wrong

2019-02-12 Thread Shelby Vanhooser (JIRA)
Shelby Vanhooser created SPARK-26860:


 Summary: RangeBetween docs appear to be wrong 
 Key: SPARK-26860
 URL: https://issues.apache.org/jira/browse/SPARK-26860
 Project: Spark
  Issue Type: Bug
  Components: PySpark
Affects Versions: 2.4.0
Reporter: Shelby Vanhooser


The docs describing 
[RangeBetween|http://spark.apache.org/docs/2.4.0/api/python/_modules/pyspark/sql/window.html#Window.rangeBetween]
 for PySpark appear to be duplicates of 
[RowsBetween|http://spark.apache.org/docs/2.4.0/api/python/_modules/pyspark/sql/window.html#Window.rowsBetween]
 even though these are functionally different windows.  Rows between reference 
proceeding and succeeding rows, but rangeBetween is based on the values in 
these rows.  



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