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Posted to issues@spark.apache.org by "Gengliang Wang (JIRA)" <ji...@apache.org> on 2019/04/29 05:47:00 UTC
[jira] [Updated] (SPARK-26744) Support schema validation in File
Source V2
[ 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.
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