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https://issues.apache.org/jira/browse/SPARK-34652?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17296947#comment-17296947
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Apache Spark commented on SPARK-34652:
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User 'blcksrx' has created a pull request for this issue:
https://github.com/apache/spark/pull/31771
> Support SchemaRegistry in from_avro method
> ------------------------------------------
>
> Key: SPARK-34652
> URL: https://issues.apache.org/jira/browse/SPARK-34652
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, Structured Streaming
> Affects Versions: 3.1.1
> Reporter: Sayed Mohammad Hossein Torabi
> Priority: Minor
>
> Confluent Schema Registry provides a serving layer for your metadata. It
> provides a RESTful interface for storing and retrieving your Avro®, JSON
> Schema, and Protobuf schemas.
> It would be nice to implement a new method that uses SchemaRegistry instead
> of the raw schema.
> In addition, the DataBricks has already implemented this function. just check
> this link out:
> https://docs.databricks.com/spark/latest/structured-streaming/avro-dataframe.html#example-with-schema-registry
> Maybe it would be a simple and short method but really usefull
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