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Hi folks! Happy new year :slightly_smiling_face:

Checking in to see if anyone knows a way in Search to pull up mlfeatures via matches against their description.

Hi <@U03SDG8LF5F>, you should be able to user advanced filters in search, change the entity type to `mlfeatures`, since we do index descriptions <https://datahubproject.io/docs/how/search/#advanced-queries>

Here’s a link to something similar in demo:
<https://demo.datahubproject.io/search?filter_description___false___CONTAIN___1=some%20string&amp;filter_entity___false___EQUAL___0=MLFEATURE_TABLE&amp;page=1&amp;query=%2A&amp;unionType=0>

Ah, so would you describe this as the UI not working in the way you’d expect?

Hey Paul - yes, if the supposition was that description was an indexed feature for MLFeatures and MLFeature Tables and should show up in search.

We've been doing a deeper dive on this to see if we can track it, and so far it does look like this is not something that is being indexed. I'll report back when I have a deeper understanding of what's up!

Hey just to report back on this - investigations with our team verified that this is not a Searchable element for MLFeatures!

Hey <@U03SDG8LF5F>, thanks for following up! We’d be happy to accept a contribution here- here’s docs for the annotation to make the field searchable: <https://datahubproject.io/docs/metadata-modeling/extending-the-metadata-model/#searchable>. We want to consider the performance impact on elasticsearch, so it’s likely best to use `TEXT`, rather than `TEXT_PARTIAL` for optimization’s sake.