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Posted to issues@spark.apache.org by "Gengliang Wang (JIRA)" <ji...@apache.org> on 2019/08/12 12:37:00 UTC

[jira] [Created] (SPARK-28698) Allow user-specified output schema in function `to_avro`

Gengliang Wang created SPARK-28698:
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             Summary: Allow user-specified output schema in function `to_avro`
                 Key: SPARK-28698
                 URL: https://issues.apache.org/jira/browse/SPARK-28698
             Project: Spark
          Issue Type: Sub-task
          Components: SQL
    Affects Versions: 3.0.0
            Reporter: Gengliang Wang


The mapping of Spark schema to Avro schema is many-to-many. (See https://spark.apache.org/docs/latest/sql-data-sources-avro.html#supported-types-for-spark-sql---avro-conversion)
The default schema mapping might not be exactly what users want. For example, by default a "string" column is always written as "string" Avro type, but users might want to output the column as "enum" Avro type.
With PR https://github.com/apache/spark/pull/21847, Spark supports user-specified schema in the batch writer. 
For the function `to_avro`, we should support user-specified output schema as well. 



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