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Wenchen Fan resolved SPARK-45891. --------------------------------- Fix Version/s: 4.0.0 Resolution: Fixed Issue resolved by pull request 45539 [https://github.com/apache/spark/pull/45539] > Support Variant data type > ------------------------- > > Key: SPARK-45891 > URL: https://issues.apache.org/jira/browse/SPARK-45891 > Project: Spark > Issue Type: New Feature > Components: SQL > Affects Versions: 4.0.0 > Reporter: Chenhao Li > Assignee: Chenhao Li > Priority: Major > Labels: pull-request-available > Fix For: 4.0.0 > > > I propose to add a Variant data type in Spark. It is used to efficiently > represent semi-structured values without a user-specified schema. Currently, > many users are depending on JSON expressions to handle JSON data, which can > often lead to repeated JSON parsing and degraded performance. One of the > major goals of the Variant type is to use a more efficient binary > representation internally and avoid repeated JSON parsing. At the same time, > it keeps the flexibility of schemaless JSON data. -- 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