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https://issues.apache.org/jira/browse/SPARK-45891?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Wenchen Fan resolved SPARK-45891.
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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.
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