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https://issues.apache.org/jira/browse/SPARK-27124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16789376#comment-16789376
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Gabor Somogyi commented on SPARK-27124:
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{quote}This is reachable via Py4J FWIW{quote}
How exactly? Maybe just doc has to be extended to highlight this functionality.
>From use-case perspective I've seen many users struggling with avro and report
>problems but most of the time it was caused by wrong schema.
I would like to mitigate this somehow.
> Expose org.apache.spark.sql.avro.SchemaConverters as developer API
> ------------------------------------------------------------------
>
> Key: SPARK-27124
> URL: https://issues.apache.org/jira/browse/SPARK-27124
> Project: Spark
> Issue Type: Improvement
> Components: PySpark, SQL
> Affects Versions: 3.0.0
> Reporter: Gabor Somogyi
> Priority: Minor
>
> org.apache.spark.sql.avro.SchemaConverters provides extremely useful APIs to
> convert schema between Spark SQL and avro. This is reachable from scala side
> but not from pyspark. I suggest to add this as a developer API to ease
> development for pyspark users.
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