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https://issues.apache.org/jira/browse/SPARK-27124?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16789494#comment-16789494
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Gabor Somogyi commented on SPARK-27124:
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Yeah, the python implementation would use the same what you've shown and this
would be a helper to make life easier.
At the moment SchemaConverters not mentioned in the doc at all. Do you think it
worth to add documentation to explain this area a bit more?
(I know it's not API but since it's hard to come up with proper schema
especially for beginners peoples somehow forced to use it)
> 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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