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https://issues.apache.org/jira/browse/SPARK-34378?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17415783#comment-17415783
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Apache Spark commented on SPARK-34378:
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User 'xkrogen' has created a pull request for this issue:
https://github.com/apache/spark/pull/34009
> Support extra optional Avro fields in AvroSerializer
> ----------------------------------------------------
>
> Key: SPARK-34378
> URL: https://issues.apache.org/jira/browse/SPARK-34378
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 3.0.1
> Reporter: Erik Krogen
> Priority: Major
>
> Currently, when writing out Avro data using a custom schema ({{avroSchema}}),
> if there are any extra Avro fields which do not have a matching field in the
> Catalyst schema, the serialization will fail. This is much more strict than
> on the deserialization path, where Avro fields not present in the Catalyst
> schema are ignored, and Catalyst fields not present in the Avro schema are
> allowed as long as they are nullable. I believe it will be more user-friendly
> if extra Avro fields are allowed, as long as they are optional. This makes it
> easier for users to write out data with Avro schemas which may be outside of
> their control.
> If there is concern about the safety of this approach (i.e. there are use
> cases where users want strict matching), we can make it configurable.
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