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Andy Grove commented on SPARK-30788: ------------------------------------ [~cloud_fan] [~maxgekk] I think the fix version on this issue should be 3.3.0 and not 3.0.0 ? > Support `SimpleDateFormat` and `FastDateFormat` as legacy date/timestamp > formatters > ----------------------------------------------------------------------------------- > > Key: SPARK-30788 > URL: https://issues.apache.org/jira/browse/SPARK-30788 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 3.0.0 > Reporter: Max Gekk > Assignee: Max Gekk > Priority: Major > Fix For: 3.0.0 > > > To be absolutely sure that Spark 3.0 is compatible with 2.4 when > spark.sql.legacy.timeParser.enabled is set to true, need to support > SimpleDateFormat and FastDateFormat as legacy parsers/formatters in > TimestampFormatter. > Spark 2.4.x uses the following parsers for parsing/formatting date/timestamp > strings: > # DateTimeFormat in CSV/JSON datasource > # SimpleDateFormat - is used in JDBC datasource, in partitions parsing. > # SimpleDateFormat in strong mode (lenient = false). It is used by the > date_format, from_unixtime, unix_timestamp and to_unix_timestamp functions. > Spark 3.0 should use the same parsers in those cases. -- This message was sent by Atlassian Jira (v8.20.1#820001) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org