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Posted to jira@arrow.apache.org by "Andrew Lamb (Jira)" <ji...@apache.org> on 2020/10/06 10:11:00 UTC
[jira] [Updated] (ARROW-10163) [Rust] [DataFusion] Allow DataFusion
to cast all type combinations supported by Arrow cast kernel
[ https://issues.apache.org/jira/browse/ARROW-10163?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Andrew Lamb updated ARROW-10163:
--------------------------------
Summary: [Rust] [DataFusion] Allow DataFusion to cast all type combinations supported by Arrow cast kernel (was: [Rust] [DataFusion] Allow DataFusion to cast all type combinations supposed by Arrow cast kernel)
> [Rust] [DataFusion] Allow DataFusion to cast all type combinations supported by Arrow cast kernel
> -------------------------------------------------------------------------------------------------
>
> Key: ARROW-10163
> URL: https://issues.apache.org/jira/browse/ARROW-10163
> Project: Apache Arrow
> Issue Type: Sub-task
> Reporter: Andrew Lamb
> Assignee: Andrew Lamb
> Priority: Major
>
> When the DataFusion planner inserts casts, today it relies on special logic to determine the valid coded casts.
> The actual arrow cast kernels support a much wider range of data types, and thus DataFusion is artificially limiting the casts it supports for no particularly good reason I can see.
> This ticket tracks the work to remove the extra casting checking in the datafusion planner and instead simply rely on runtime check of arrow cast compute kernel
> The potential downside of this approach is that the error may be generated later in the execution process (rather than the planner), and possibly have a less specific error message, the upside is there is less code and we get several conversions immediately (like timestamp predicate casting)
> I also plan to add DictionaryArray support to the casting kernels and I would like to avoid having to replicate some part of that logic in DataFusion
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