[ https://issues.apache.org/jira/browse/SPARK-31318?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Maxim Gekk updated SPARK-31318: ------------------------------- Parent: SPARK-30951 Issue Type: Sub-task (was: Improvement) > 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: Sub-task > Components: SQL > Affects Versions: 3.0.0 > Reporter: Maxim Gekk > Priority: Major > > 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