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https://issues.apache.org/jira/browse/SPARK-24881?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Apache Spark reassigned SPARK-24881:
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Assignee: Apache Spark
> New options - compression and compressionLevel
> ----------------------------------------------
>
> Key: SPARK-24881
> URL: https://issues.apache.org/jira/browse/SPARK-24881
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 2.3.1
> Reporter: Maxim Gekk
> Assignee: Apache Spark
> Priority: Minor
>
> Currently Avro datasource takes the compression codec name from SQL config
> (config key is hard coded in AvroFileFormat):
> https://github.com/apache/spark/blob/106880edcd67bc20e8610a16f8ce6aa250268eeb/external/avro/src/main/scala/org/apache/spark/sql/avro/AvroFileFormat.scala#L121-L125
> . The obvious cons of it is modification of the global config can impact of
> multiple writes.
> A purpose of the ticket is to add new Avro option - "compression" the same as
> we already have for other datasource like JSON, CSV and etc. If new option is
> not set by an user, we take settings from SQL config
> spark.sql.avro.compression.codec. If the former one is not set too, default
> compression codec will be snappy (this is current behavior in the master).
> Besides of the compression option, need to add another option -
> compressionLevel which should reflect another SQL config in Avro:
> https://github.com/apache/spark/blob/106880edcd67bc20e8610a16f8ce6aa250268eeb/external/avro/src/main/scala/org/apache/spark/sql/avro/AvroFileFormat.scala#L122
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