You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "jibiyr (Jira)" <ji...@apache.org> on 2023/04/13 13:30:00 UTC
[jira] [Created] (SPARK-43127) pandas udf/udaf not support partial merge
jibiyr created SPARK-43127:
------------------------------
Summary: pandas udf/udaf not support partial merge
Key: SPARK-43127
URL: https://issues.apache.org/jira/browse/SPARK-43127
Project: Spark
Issue Type: Improvement
Components: PySpark
Affects Versions: 3.3.2
Reporter: jibiyr
hi community:
I use pandas udf in pysaprk,when I apply udf on grouped dataframe,it cost too many memory,I think it because pandas udaf not support partial merge
code like:
spark_df.groupby('a').applyinpandas(func,schema)
--
This message was sent by Atlassian Jira
(v8.20.10#820010)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org