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https://issues.apache.org/jira/browse/SOLR-12367?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16631637#comment-16631637
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Kamuela Lau commented on SOLR-12367:
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I have attached a patch to address the issue in the description. The message
will now say "org.apache.solr.ltr.model.ModelException: Features cannot be
null; perhaps check for missing features". To reproduce, follow the same
procedure as described in the description.
For now, I have not dealt with the ClassCastException that shows up in the
comment (i.e. upload features, then execute above) for casting a Long to a
Double, however should this be deemed necessary, I can add that to the patch,
or create another issue for it.
Any comments would be appreciated.
> When adding a model referencing a non-existent feature the error message is
> very ambiguous
> ------------------------------------------------------------------------------------------
>
> Key: SOLR-12367
> URL: https://issues.apache.org/jira/browse/SOLR-12367
> Project: Solr
> Issue Type: Improvement
> Security Level: Public(Default Security Level. Issues are Public)
> Components: contrib - LTR
> Affects Versions: 7.3.1
> Reporter: Georg Sorst
> Priority: Minor
> Attachments: SOLR-12367.patch
>
>
> When adding a model that references a non-existent feature a very ambiguous
> error message is thrown, something like "Model type does not exist
> org.apache.solr.ltr.model.{{LinearModel}}".
>
> To reproduce, do not add any features and just add a model, for example by
> doing this:
>
> {{curl -XPUT 'http://localhost:8983/solr/gettingstarted/schema/model-store'
> --data-binary '}}
> {
> {{ "class": "org.apache.solr.ltr.model.LinearModel",}}
> {{ "name": "myModel",}}
> {{ "features": [ \{"name": "whatever" }],}}
> {{ "params": {"weights": {"whatever": 1.0}}}}
> {{}' -H 'Content-type:application/json'}}
>
> The resulting error message "Model type does not exist
> {{org.apache.solr.ltr.model.LinearModel" is extremely misleading and cost me
> a while to figure out the actual cause.}}
>
> A more suitable error message should probably indicate the name of the
> missing feature that the model is trying to reference.
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