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https://issues.apache.org/jira/browse/FLINK-16679?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Flink Jira Bot updated FLINK-16679:
-----------------------------------
      Labels: auto-deprioritized-major auto-deprioritized-minor  (was: 
auto-deprioritized-major stale-minor)
    Priority: Not a Priority  (was: Minor)

This issue was labeled "stale-minor" 7 days ago and has not received any 
updates so it is being deprioritized. If this ticket is actually Minor, please 
raise the priority and ask a committer to assign you the issue or revive the 
public discussion.


> Investigate more efficient outer join plans
> -------------------------------------------
>
>                 Key: FLINK-16679
>                 URL: https://issues.apache.org/jira/browse/FLINK-16679
>             Project: Flink
>          Issue Type: Improvement
>          Components: Table SQL / Planner
>            Reporter: Timo Walther
>            Priority: Not a Priority
>              Labels: auto-deprioritized-major, auto-deprioritized-minor
>
> FLINK-16344 avoids errors due to incompatible types during planning by 
> preserving the nullability attributes of nested types. It added an additional 
> check for {{rt.getStructKind == StructKind.PEEK_FIELDS_NO_EXPAND}} to only 
> cover nested rows. Not top-level rows. But it seems that a couple of 
> execution plans would look nicer if the nullability property is preserved for 
> top-level rows as well. However, a lot of join tests fail we should 
> investigate this issue if we would like to have more efficient execution 
> plans.
> The comment in {{RelDataTypeFactoryImpl#createTypeWithNullability}} says:
> {code}
> According to the SQL standard, nullability for struct types can be defined 
> only for columns, which translates to top level structs. Nested struct 
> attributes are always nullable, so in principle we could always set the 
> nested attributes to be nullable.
> {code}



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