@Kishore Nallan 🎉👍 😁

👋 I was about to ping you later today. Closing out a few nice-to-have-s!

Ok, waiting for a ping then thanks 😄

@Tugay Karaçay I've commented on the earlier gist with the details: https://gist.github.com/jasonbosco/c712b52a4b29e84ebce82c9a5ec82ffc

Thanks @Kishore Nallan We will try it ASAP 👍

Once you do

index: false

it essentially amounts to the field being ignored totally. So facet indexing will not happen if

index

is set to

false

.

Oh I see, I totally misunderstood the

index: false

usage thanks.

👍 Let me know if you run into any gotchas.

Ok I have two questions if you have time?

Yes

1. Why applying multiple filters affects response time dramatically?

1. It is probably because as you add more and more filters for a prefix search, it becomes harder and harder to find enough results (especially to satisfy

typo_tokens_threshold)

so the search has to become really exhaustive and that takes longer. The intersections of matching IDs of each of those filters will also take time with so many filters. 2. I don't quite follow this question, but there is a

found

field returned in search response.

I don’t quite follow this question, but there is a 

found

 field returned in search response.

For example we have an

int[]

field if we apply filter

1<= x <=4

and if field value is

[1,2,3,4,5]

then search result returns

found: 4

That's not how the

found

is expected to work. I just tried it on an array field on a single document and it is not showing that behavior:

curl "<http://localhost:8108/collections/companies/documents>" -X POST -H "Content-Type: application/json" \
-H "X-TYPESENSE-API-KEY: ${TYPESENSE_API_KEY}" -d '{
    "company_name": "Stark Industries",
    "num_employees": 5215,
    "category_fct": "defence", "values": [1,2,3,4,5],
    "description_text": "Some text that will not be indexed."
}'
{"category_fct":"defence","company_name":"Stark Industries","description_text":"Some text that will not be indexed.","id":"1","num_employees":5215,"values":[1,2,3,4,5]}

curl "<http://localhost:8108/collections/companies/documents/search?q=stark&query_by=company_name&filter_by=values>:>2&x-typesense-api-key=abcd&prefix=false"
{"facet_counts":[],"found":1,"hits":[{"document":{"category_fct":"defence","company_name":"Stark Industries","description_text":"Some text that will not be indexed.","id":"1","num_employees":5215,"values":[1,2,3,4,5]},"highlights":[{"field":"company_name","matched_tokens":["Stark"],"snippet":"<mark>Stark</mark> Industries"}],"text_match":130816}],"out_of":2,"page":1,"request_params":{"collection_name":"companies","per_page":10,"q":"stark"},"search_time_ms":1}

Hmm ok I will try to recreate this scenario 👍

Okay, I can reproduce. I will take a look.

Thank you! 😁