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https://issues.apache.org/jira/browse/SPARK-59534?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-59534:
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Labels: pull-request-available (was: )
> Support implicit casting for time_bucket timestamp arguments
> ------------------------------------------------------------
>
> Key: SPARK-59534
> URL: https://issues.apache.org/jira/browse/SPARK-59534
> Project: Spark
> Issue Type: Improvement
> Components: SQL
> Affects Versions: 5.0.0
> Reporter: Nikolina Vraneš
> Priority: Major
> Labels: pull-request-available
>
> Problem
> time_bucket requires TIMESTAMP or TIMESTAMP_NTZ for its timestamp and origin
> arguments. It rejects DATE and STRING inputs because the expression disables
> implicit input casting. This differs from Spark functions that declare
> timestamp input types and use the standard type-coercion rules.
> Proposed change
> Enable standard implicit casting for the time_bucket timestamp and origin
> arguments. In ANSI and legacy modes, DATE and STRING inputs cast to
> TIMESTAMP. Keep bucket_size strict. A STRING bucket size remains invalid
> because the interval input types do not accept an implicit STRING cast.
> Tests
> Add ANSI and legacy type-coercion tests. Add SQL coverage for DATE and STRING
> timestamp and origin arguments. Regenerate the execution and analyzer golden
> files.
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