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Apache Spark commented on SPARK-21786: -------------------------------------- User 'fjh100456' has created a pull request for this issue: https://github.com/apache/spark/pull/20087 > The 'spark.sql.parquet.compression.codec' configuration doesn't take effect > on tables with partition field(s) > ------------------------------------------------------------------------------------------------------------- > > Key: SPARK-21786 > URL: https://issues.apache.org/jira/browse/SPARK-21786 > Project: Spark > Issue Type: Bug > Components: SQL > Affects Versions: 2.2.0 > Reporter: Jinhua Fu > > For tables created like below, 'spark.sql.parquet.compression.codec' doesn't > take any effect when insert data. And because the default compression codec > is 'uncompressed', if I want to change the compression codec, I have to > change it by 'set parquet.compression=xxxx'. > Contrast,tables without any partition field will work normal with > 'spark.sql.parquet.compression.codec',and the default compression codec is > 'snappy', but it seems 'parquet.compression' no longer in effect. > Should we use the ‘spark.sql.parquet.compression.codec’ configuration > uniformly? > ---------------------------------------------------------------------------------------------------- > CREATE TABLE Test_Parquet(provincecode int, citycode int, districtcode int) > PARTITIONED BY (p_provincecode int) > STORED AS PARQUET; > INSERT OVERWRITE TABLE Test_Parquet select * from TableB; -- This message was sent by Atlassian JIRA (v6.4.14#64029) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org