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## What changes were proposed in this pull request? 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. ## How was this patch tested? Unit test. Closes #25419 from gengliangwang/to_avro. Authored-by: Gengliang Wang <gengliang.wang@databricks.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com> |
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