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https://issues.apache.org/jira/browse/CALCITE-4999?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17493478#comment-17493478
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Julian Hyde commented on CALCITE-4999:
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Thanks for checking, [~rubenql]. That's as I suspected. So I think the solution
is to return an array of scalars (e.g. {{INTEGER ARRAY}}) when the query
returns 1 column, and continue to return an array of {{ROW}} when the query has
2 or more columns. And do the same for {{MULTISET}}.
[~dmsysolyatin] Can you change the subject (and, if necessary, description) of
this Jira now we know the underlying cause?
> `least restrictive` type inference does not work when one operand is scalar
> and another is row with one field
> -------------------------------------------------------------------------------------------------------------
>
> Key: CALCITE-4999
> URL: https://issues.apache.org/jira/browse/CALCITE-4999
> Project: Calcite
> Issue Type: Bug
> Components: core
> Reporter: Dmitry Sysolyatin
> Assignee: Dmitry Sysolyatin
> Priority: Major
> Labels: pull-request-available
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> I faced with a issue that the following query:
> {code:java}
> SELECT ARRAY_CONCAT(ARRAY['1', '2'], array(select 'toast.' || x from
> unnest(ARRAY['1','2']) x)) {code}
> didn't work, because of:
> {code:java}
> java.lang.IllegalArgumentException: Cannot infer return type for
> ARRAY_CONCAT; operand types: [CHAR(1) ARRAY, RecordType(CHAR(7) EXPR$0)
> ARRAY]{code}
> `least restrictive` type inference does not work when one operand is scalar
> and another is row with one field
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