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Re: efficient way to do "fuzzy" join

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A little related bonus :

when doing the time-join,
the next step is to interpolate to have a more accurate estimation :

-------------------------------------------------------------------------------------------
DROP FUNCTION IF EXISTS range_interpolate(nr anyrange,obs anyelement) ;
    CREATE OR REPLACE FUNCTION range_interpolate(nr anyrange,obs anyelement)
        RETURNS TABLE(lower_weight NUMERIC,upper_weight NUMERIC)
    AS $$
        --@param a range
        --@param an observation (value) of the same type as the range
        --@return the weight to apply to lower bound and upper bound of range to get the value.

        --exceptions : -inf or +inf : weight of the bound is 0, the other 1.
        --exceptions : range = a point : returns weight of 0.5 for each bound (they are identical but the asociated data may not be)
        SELECT
        CASE     WHEN upper(nr)=lower(nr) THEN ROW(0.5,0.5)
            --WHEN obs=lower(nr) AND obs=upper(nr) THEN ARRAY[0.5,0.5]
            --THEN (obs-lower(nr))/ra, (upper(nr)-obs)/ra
            WHEN lower_inf(nr)=TRUE OR lower(nr) IS NULL THEN ROW(0,1)
            WHEN upper_inf(nr)=TRUE OR upper(nr) IS NULL THEN ROW(1,0)
            ELSE ROW( (upper(nr)-obs)/(upper(nr)-lower(nr)),(obs-lower(nr))/(upper(nr)-lower(nr)))
            END
       
        --testing :
        --SELECT * FROM range_interpolate(numrange(1,10) ,  round(10,2))
    $$
    LANGUAGE SQL
    IMMUTABLE
    RETURNS NULL ON NULL INPUT;
--------------------------------------------------------------
Cheers,
Rémi-C

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