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https://issues.apache.org/jira/browse/SPARK-26765?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16756178#comment-16756178
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Apache Spark commented on SPARK-26765:
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User 'gengliangwang' has created a pull request for this issue:
https://github.com/apache/spark/pull/23699
> Avro: Validate input and output schema
> --------------------------------------
>
> Key: SPARK-26765
> URL: https://issues.apache.org/jira/browse/SPARK-26765
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: Gengliang Wang
> Assignee: Gengliang Wang
> Priority: Minor
> Fix For: 3.0.0
>
>
> The API supportDataType in FileFormat helps to validate the output/input
> schema before exection starts. So that we can avoid some invalid data source
> IO, and users can see clean error messages.
> This PR is to override the validation API in Avro data source.
> Also, as per the spec of Avro(https://avro.apache.org/docs/1.8.2/spec.html),
> NullType is supported. This PR fixes the handling of NullType.
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