Hello, I have a large sneakers database, on which I'm performing full-text searches.
Single word queries work as expected.
Multi-word queries are quite strange:
When I search for Air Max, Air Jordan 11 comes before Off-White Air Max 97.
- I think InnoDB should return
Off-White Air Max 97first as it contains a full-match, andAir Jordan 11matches only the tokenAir. But the Appwrite API returns everything matching with eitherAirorMaxin a non-prioritized order. - Looking at the source code, I can see that Appwrite is using boolean mode for the search, but is also stripping all useful characters to perform operations (
+-@><...). So, how can I perform aANDfull-text search? (Matching only names containingAir Max)
Thanks
Can you try passing "Air Max" as your search value?
Tried both "Air Max" and 'Air Max', none of them make a difference
What exactly is your code?
Using the Dart SDK:
listDocuments(
databaseId: '...',
collectionId: '...',
queries: [
Query.limit(limit),
Query.offset(skip),
Query.search('indexed_search_term', "Air Max"), // Also tried "'Air Max'" and '"Air Max"'
]
);
Hmm let me test this when I'm at my desk later
so a network request with this:
queries[0]=search("search", "Air Max")
returns:
but like this:
queries[0]=search("search", "\"Air Max\"")
returns:
Oh great I'll try that during the day
It's working perfectly @Steven, thanks for your help.
I think it would really help to improve the doc regarding the full-text search, because most of the advanced behaviour are not described and we need to search through Discord / Github Issues / Source Code to have more info.
Especially for a AND matching which I think is a quite common use-case.
improve the doc regarding the full-text search
In particular for search, we have this: https://github.com/appwrite/appwrite/discussions/5005#discussioncomment-4681079
Especially for a AND matching which I think is a quite common use-case.
What do you mean?
Yes that was the Issue I was refering. Could be great to have this info directly in the doc.
By AND search I mean being able to search for results containing all the words, not one of the word.
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