You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Yicong Huang (Jira)" <ji...@apache.org> on 2026/07/02 20:42:00 UTC
[jira] [Created] (SPARK-57903) Benchmark SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_UDF
Yicong Huang created SPARK-57903:
------------------------------------
Summary: Benchmark SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_UDF
Key: SPARK-57903
URL: https://issues.apache.org/jira/browse/SPARK-57903
Project: Spark
Issue Type: Sub-task
Components: PySpark
Affects Versions: 4.3.0
Reporter: Yicong Huang
Add an ASV microbenchmark for the SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_UDF eval type, mirroring the existing SQL_TRANSFORM_WITH_STATE_PANDAS_UDF benchmark (SPARK-57020). This measures the stateful streaming transformation path that uses PySpark Row objects (TransformWithStateInPySparkRowSerializer), to guard against regressions in the upcoming serializer refactor.
--
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