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Gabor Somogyi commented on SPARK-27124: --------------------------------------- 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. -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org