Maxim Gekk created SPARK-31318: ---------------------------------- Summary: Split Parquet/Avro configs for rebasing dates/timestamps in read and in write Key: SPARK-31318 URL: https://issues.apache.org/jira/browse/SPARK-31318 Project: Spark Issue Type: Improvement Components: SQL Affects Versions: 3.0.0 Reporter: Maxim Gekk
Currently, Spark provides 2 SQL configs to control rebasing of dates/timestamps in Parquet and Avro datasource: spark.sql.legacy.parquet.rebaseDateTime.enabled spark.sql.legacy.avro.rebaseDateTime.enabled The configs control rebasing in read and in write. That's can be inconvenient for users who want to read files saved by Spark 2.4 and earlier versions, and save dates/timestamps without rebasing. The ticket aims to split the configs, and introduce separate SQL configs for read and for write. -- This message was sent by Atlassian Jira (v8.3.4#803005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org