[jira] [Assigned] (SPARK-22239) User-defined window functions with pandas udf

2018-06-12 Thread Hyukjin Kwon (JIRA) 


 [ 
https://issues.apache.org/jira/browse/SPARK-22239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Hyukjin Kwon reassigned SPARK-22239:


Assignee: Li Jin

> User-defined window functions with pandas udf
> -
>
> Key: SPARK-22239
> URL: https://issues.apache.org/jira/browse/SPARK-22239
> Project: Spark
>  Issue Type: Sub-task
>  Components: PySpark
>Affects Versions: 2.2.0
> Environment: 
>Reporter: Li Jin
>Assignee: Li Jin
>Priority: Major
> Fix For: 2.4.0
>
>
> Window function is another place we can benefit from vectored udf and add 
> another useful function to the pandas_udf suite.
> Example usage (preliminary):
> {code:java}
> w = Window.partitionBy('id').orderBy('time').rangeBetween(-200, 0)
> @pandas_udf(DoubleType())
> def ema(v1):
> return v1.ewm(alpha=0.5).mean().iloc[-1]
> df.withColumn('v1_ema', ema(df.v1).over(window))
> {code}



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[jira] [Assigned] (SPARK-22239) User-defined window functions with pandas udf

2018-04-16 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-22239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-22239:


Assignee: (was: Apache Spark)

> User-defined window functions with pandas udf
> -
>
> Key: SPARK-22239
> URL: https://issues.apache.org/jira/browse/SPARK-22239
> Project: Spark
>  Issue Type: Sub-task
>  Components: PySpark
>Affects Versions: 2.2.0
> Environment: 
>Reporter: Li Jin
>Priority: Major
>
> Window function is another place we can benefit from vectored udf and add 
> another useful function to the pandas_udf suite.
> Example usage (preliminary):
> {code:java}
> w = Window.partitionBy('id').orderBy('time').rangeBetween(-200, 0)
> @pandas_udf(DoubleType())
> def ema(v1):
> return v1.ewm(alpha=0.5).mean().iloc[-1]
> df.withColumn('v1_ema', ema(df.v1).over(window))
> {code}



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[jira] [Assigned] (SPARK-22239) User-defined window functions with pandas udf

2018-04-16 Thread Apache Spark (JIRA) 

 [ 
https://issues.apache.org/jira/browse/SPARK-22239?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
 ]

Apache Spark reassigned SPARK-22239:


Assignee: Apache Spark

> User-defined window functions with pandas udf
> -
>
> Key: SPARK-22239
> URL: https://issues.apache.org/jira/browse/SPARK-22239
> Project: Spark
>  Issue Type: Sub-task
>  Components: PySpark
>Affects Versions: 2.2.0
> Environment: 
>Reporter: Li Jin
>Assignee: Apache Spark
>Priority: Major
>
> Window function is another place we can benefit from vectored udf and add 
> another useful function to the pandas_udf suite.
> Example usage (preliminary):
> {code:java}
> w = Window.partitionBy('id').orderBy('time').rangeBetween(-200, 0)
> @pandas_udf(DoubleType())
> def ema(v1):
> return v1.ewm(alpha=0.5).mean().iloc[-1]
> df.withColumn('v1_ema', ema(df.v1).over(window))
> {code}



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