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Feature request unload as parquet file #116

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parisni opened this issue Dec 22, 2022 · 0 comments

parisni commented Dec 22, 2022

Parquet format is up to 2x faster to unload and consumes up to 6x less storage in Amazon S3, compared with text formats. See https://docs.aws.amazon.com/redshift/latest/dg/r_UNLOAD.html

Currently CSV is used to unload which is inneficient. I can't see a valid reason to keep using CSV and maintain custom code to transform it to rdd / dataframe
See https://github.com/spark-redshift-community/spark-redshift/blob/master/src/main/scala/io/github/spark_redshift_community/spark/redshift/RedshiftRelation.scala#L198

parisni mentioned this issue

[WIP] Provide spark catalog, dsv2 and use parquet for copy/unload #120

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