[jira] [Commented] (SPARK-34652) Support SchemaRegistry in from_avro method

["Apache Spark (Jira)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-34652?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17465201#comment-17465201 ] 

Apache Spark commented on SPARK-34652:
--------------------------------------

User 'blcksrx' has created a pull request for this issue:
https://github.com/apache/spark/pull/35019

> Support SchemaRegistry in from_avro method
> ------------------------------------------
>
>                 Key: SPARK-34652
>                 URL: https://issues.apache.org/jira/browse/SPARK-34652
>             Project: Spark
>          Issue Type: Improvement
>          Components: SQL
>    Affects Versions: 3.3.0
>            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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