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Xiaonan Yang resolved SPARK-40649. ---------------------------------- Resolution: Duplicate > Infer date type for Json schema inference > ----------------------------------------- > > Key: SPARK-40649 > URL: https://issues.apache.org/jira/browse/SPARK-40649 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 3.2.1 > Reporter: Xiaonan Yang > Assignee: Jonathan Cui > Priority: Major > Fix For: 3.4.0 > > > 1. If a column contains only dates, it should be of “date” type in the > inferred schema > * If the date format and the timestamp format are identical (e.g. both are > yyyy/mm/dd), entries will default to being interpreted as Date > 2. If a column contains dates and timestamps, it should be of “timestamp” > type in the inferred schema > > A similar issue was opened in the past but was reverted due to the lack of > strict pattern matching. -- This message was sent by Atlassian Jira (v8.20.10#820010) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org