[ 
https://issues.apache.org/jira/browse/CALCITE-5814?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=18047834#comment-18047834
 ] 

Zhen Chen commented on CALCITE-5814:
------------------------------------

I executed the following SQL in Spark, and it seems that Spark does not support 
MAP comparisons.
{code:java}
spark-sql (default)> select MAP(3,4,1,2) = MAP(1,2,3,4);                        
                                                                                
   [DATATYPE_MISMATCH.INVALID_ORDERING_TYPE] Cannot resolve "(map(3, 4, 1, 2) = 
map(1, 2, 3, 4))" due to data type mismatch: The `=` does not support ordering 
on type "MAP". SQLSTATE: 42K09; line 1 pos 7;                                   
                                                                                
'Project [unresolvedalias((map(3, 4, 1, 2) = map(1, 2, 3, 4)))]                 
                                                                                
   +- OneRowRelation  {code}

> Simplify 'a = MAP[1,2] AND a = MAP[2,3]' to 'FALSE'
> ---------------------------------------------------
>
>                 Key: CALCITE-5814
>                 URL: https://issues.apache.org/jira/browse/CALCITE-5814
>             Project: Calcite
>          Issue Type: Improvement
>          Components: core
>    Affects Versions: 1.34.0
>            Reporter: Runkang He
>            Assignee: Runkang He
>            Priority: Major
>
> Currently the following expression with const map literal is not simplified 
> to FALSE:
> {code:sql}
> a = MAP[1,2] AND a = MAP[2,3]
> {code}
> Since the map type is an extension to the SQL standard, it's not clear 
> whether it is comparable or not. If comparable, it would be nice to simplify 
> above expression to FALSE.
> Welcome to discuss or provide some information.
> Note that this Jira is inspired from discussion of 
> [CALCITE-5733|https://issues.apache.org/jira/browse/CALCITE-5733].



--
This message was sent by Atlassian Jira
(v8.20.10#820010)

Reply via email to