[ https://issues.apache.org/jira/browse/SPARK-21404?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Reynold Xin updated SPARK-21404: -------------------------------- Issue Type: Sub-task (was: Improvement) Parent: SPARK-22216 > Simple Vectorized Python UDFs using Arrow > ----------------------------------------- > > Key: SPARK-21404 > URL: https://issues.apache.org/jira/browse/SPARK-21404 > Project: Spark > Issue Type: Sub-task > Components: PySpark, SQL > Affects Versions: 2.3.0 > Reporter: Bryan Cutler > > Using Arrow, Python UDFs can be evaluated in vectorized form by using the > column data as Pandas.Series. This will offer a performance gain by > computing the return column data in one operation instead of iterating over > each row to calculate a single element and appending to a list, as is > currently done. The existing Python UDF api can be used to implement this, > which specifies the return type, and since not all functions may be able to > be vectorized there would need to be a way to enable this optimizaiton, such > as a SQLConf. > This is designed as a preliminary step for the existing SPIP: Vectorized UDFs > in Python SPARK-21190 that could be used as a basis for whatever expanded API > is decided upon there. -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org