[
https://issues.apache.org/jira/browse/SPARK-26744?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Gengliang Wang updated SPARK-26744:
-----------------------------------
Issue Type: Sub-task (was: Improvement)
Parent: SPARK-27589
> Support schema validation in File Source V2
> -------------------------------------------
>
> Key: SPARK-26744
> URL: https://issues.apache.org/jira/browse/SPARK-26744
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Major
> Fix For: 3.0.0
>
>
> The internal API supportDataType in FileFormat validates the output/input
> schema before task execution starts. So that we can avoid launching
> read/write tasks which would fail. Also, users can see clean error messages.
> This PR is to implement the same internal API in the FileDataSourceV2
> framework. Comparing to FileFormat, FileDataSourceV2 has multiple layers. The
> API is added in two places:
> 1. Read path: the table schema is determined in TableProvider.getTable. The
> actual read schema can be a subset of the table schema. This PR proposes to
> validate the actual read schema in FileScan.
> 2. Write path: validate the actual output schema in FileWriteBuilder.
--
This message was sent by Atlassian JIRA
(v7.6.3#76005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
