You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Luca Canali (Jira)" <ji...@apache.org> on 2022/02/04 19:49:00 UTC
[jira] [Updated] (SPARK-38098) Add support for ArrayType of nested StructType to arrow-based conversion
[ https://issues.apache.org/jira/browse/SPARK-38098?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Luca Canali updated SPARK-38098:
--------------------------------
Description:
This proposes to add support for ArrayType of nested StructType to arrow-based conversion.
This allows Pandas UDFs, mapInArrow UDFs, and toPandas to operate on columns of type Array of Struct, via arrow serialization.
was:This is to allow Pandas UDFs (and mapInArrow UDFs) to operate on columns of type Array of Struct via arrow serialization.
> Add support for ArrayType of nested StructType to arrow-based conversion
> ------------------------------------------------------------------------
>
> Key: SPARK-38098
> URL: https://issues.apache.org/jira/browse/SPARK-38098
> Project: Spark
> Issue Type: Improvement
> Components: PySpark
> Affects Versions: 3.2.1
> Reporter: Luca Canali
> Priority: Minor
>
> This proposes to add support for ArrayType of nested StructType to arrow-based conversion.
> This allows Pandas UDFs, mapInArrow UDFs, and toPandas to operate on columns of type Array of Struct, via arrow serialization.
--
This message was sent by Atlassian Jira
(v8.20.1#820001)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org