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Posted to issues@spark.apache.org by "Wenchen Fan (JIRA)" <ji...@apache.org> on 2019/08/13 12:57:00 UTC
[jira] [Assigned] (SPARK-28698) Allow user-specified output schema
in function `to_avro`
[ https://issues.apache.org/jira/browse/SPARK-28698?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Wenchen Fan reassigned SPARK-28698:
-----------------------------------
Assignee: Gengliang Wang
> 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
> Assignee: Gengliang Wang
> Priority: Major
>
> 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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