Hello ,
If you use filters rather than query , the scoring should be out of
picture.
Thanks
Vineeth
On Wed, Sep 3, 2014 at 9:34 PM, André Hänsel <[email protected]> wrote:
> I have an index with about a million entries with a rather dynamic
> structure. The queries I want to perform are of the kind: "give me exactly
> the entries that contain '*abc*' and '*def*' in any two fields". The
> results can be returned in an arbitrary order.
>
> Since I still need the analyzer for accent and case folding and the like,
> the query I end up with is:
> {
> "query": {
> "match": {
> "_all": {
> "query": "abc def",
> "operator": "and"
> }
> }
> }
> }
>
> I have the exact same dataset in Sphinx with min_infix_length = 3 (the
> Sphinx equivalent of "min_gram: 3") and on my development machine no query
> takes longer than 100 ms (in Sphinx).
>
> I haven't even activated the ngrams in Elasticsearch yet and it already
> takes more than 500 ms to search for a new set of terms.
>
> Now I wonder if this rather bad performance is related to the scoring that
> is performed and what I can do to make it (much) better. Can I maybe turn
> off the scoring (since I don't care about the order at all) and get better
> performance by that?
>
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