[GitHub] [pinot] Eywek commented on issue #7842: feature request: `LIKE` operator in `JSON_MATCH`

[GitBox <gi...@apache.org>]

Eywek commented on issue #7842:
URL: https://github.com/apache/pinot/issues/7842#issuecomment-982655500


   > how slow is "very slow"?
   
   ~600-800ms for 21 documents (vs 22-40ms without this filter)
   
   
   > Is there a natural way for you to filter the JSON documents before applying the `JSONEXTRACTSCALAR` and `REGEXP_LIKE` functions? Without an index structured to support these functions, they are naturally quite expensive.
   
   I'm using a JSON index on the column and operations like `JSON_MATCH(labels, 'demande_intention  = ''foo''')` are fast (30-40ms)
   
   > Have you considered extracting `$.demande_intention` into a text column during ingestion so you can create a text index on it, instead of storing it embedded in JSON?
   
   Yep I know it would be the best way to do it but since the `labels` column contains dynamic data, we don't want to add each field of the JSON object to the schema


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