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https://issues.apache.org/jira/browse/SPARK-59151?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Aleksandr Chernousov updated SPARK-59151:
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Summary: Variant aggregation- canonicalization (was: Variant aggregation-
canonicalisation)
> Variant aggregation- canonicalization
> -------------------------------------
>
> Key: SPARK-59151
> URL: https://issues.apache.org/jira/browse/SPARK-59151
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 5.0.0
> Reporter: Aleksandr Chernousov
> Priority: Major
>
> Implement canonicalization (+ fastpath aka checking if Variant is already
> canonicalized)
> This part contains only canonicalization, without wiring to expressions
> After canonicalization Variant should have
> - All dict keys sorted
> - No unused keys
> - All numeric types normalized to smallest fitting datatype (e.g.: [10 as
> int64] and [10.0 as decimal] to 10 as int8
> - float/double -0.0 converted to 0.0
> - Have all NaNs in normalised form
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