You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "ASF GitHub Bot (Jira)" <ji...@apache.org> on 2026/07/09 20:58:00 UTC
[jira] [Updated] (SPARK-58067) Benchmark SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_INIT_STATE_UDF
[ https://issues.apache.org/jira/browse/SPARK-58067?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
ASF GitHub Bot updated SPARK-58067:
-----------------------------------
Labels: pull-request-available (was: )
> Benchmark SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_INIT_STATE_UDF
> ------------------------------------------------------------
>
> Key: SPARK-58067
> URL: https://issues.apache.org/jira/browse/SPARK-58067
> Project: Spark
> Issue Type: Sub-task
> Components: PySpark
> Affects Versions: 4.3.0
> Reporter: Yicong Huang
> Priority: Major
> Labels: pull-request-available
>
> Add an ASV microbenchmark for the SQL_TRANSFORM_WITH_STATE_PYTHON_ROW_INIT_STATE_UDF eval type, mirroring the existing SQL_TRANSFORM_WITH_STATE_PANDAS_INIT_STATE_UDF benchmark (SPARK-57704) and the non-init Row benchmark (SPARK-57903). This measures the stateful streaming transformation path that uses PySpark Row objects with an initial state (TransformWithStateInPySparkRowInitStateSerializer), 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