[jira] [Assigned] (SPARK-22239) User-defined window functions with pandas udf
[ 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} -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-22239) User-defined window functions with pandas udf
[ 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} -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org
[jira] [Assigned] (SPARK-22239) User-defined window functions with pandas udf
[ 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} -- This message was sent by Atlassian JIRA (v7.6.3#76005) - To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org