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https://issues.apache.org/jira/browse/SOLR-10574?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16044894#comment-16044894
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Erick Erickson commented on SOLR-10574:
---------------------------------------

Sorting Of course. Gah...

But no, not everything is MV in data-driven, there are int/ints pint/pints 
where the "s" variant is MV but the bare variant is SV.

Seeing "pint" really startled me since they've been deprecated since 4.8 or 
so...

> Choose a default configset for Solr 7
> -------------------------------------
>
>                 Key: SOLR-10574
>                 URL: https://issues.apache.org/jira/browse/SOLR-10574
>             Project: Solr
>          Issue Type: Task
>      Security Level: Public(Default Security Level. Issues are Public) 
>            Reporter: Ishan Chattopadhyaya
>            Assignee: Ishan Chattopadhyaya
>            Priority: Blocker
>             Fix For: master (7.0)
>
>         Attachments: SOLR-10574.patch, SOLR-10574.patch, SOLR-10574.patch
>
>
> Currently, the data_driven_schema_configs is the default configset when 
> collections are created using the bin/solr script and no configset is 
> specified.
> However, that may not be the best choice. We need to decide which is the best 
> choice, out of the box, considering many users might create collections 
> without knowing about the concept of a configset going forward.
> (See also SOLR-10272)
> Proposed changes:
> # Remove data_driven_schema_configs and basic_configs
> # Introduce a combined configset, {{_default}} based on the above two 
> configsets.
> # Build a "toggleable" data driven functionality into {{_default}}
> Usage:
> # Create a collection (using _default configset)
> # Data driven / schemaless functionality is enabled by default; so just start 
> indexing your documents.
> # If don't want data driven / schemaless, disable this behaviour: {code}
> curl http://host:8983/solr/coll1/config -d '{"set-user-property": 
> {"update.autoCreateFields":"false"}}'
> {code}
> # Create schema fields using schema API, and index documents



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