X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/40f9d52ad8b48e0dc6b1ac89305c1e4ef1c43884..2e6ff1b7508e738c1ecb4647aa5890422b771121:/lib-sql/functions/partition-functions.sql diff --git a/lib-sql/functions/partition-functions.sql b/lib-sql/functions/partition-functions.sql index 97afec15..20ec3da6 100644 --- a/lib-sql/functions/partition-functions.sql +++ b/lib-sql/functions/partition-functions.sql @@ -1,3 +1,10 @@ +-- SPDX-License-Identifier: GPL-2.0-only +-- +-- This file is part of Nominatim. (https://nominatim.org) +-- +-- Copyright (C) 2022 by the Nominatim developer community. +-- For a full list of authors see the git log. + DROP TYPE IF EXISTS nearfeaturecentr CASCADE; CREATE TYPE nearfeaturecentr AS ( place_id BIGINT, @@ -10,7 +17,7 @@ CREATE TYPE nearfeaturecentr AS ( centroid GEOMETRY ); --- feature intersects geoemtry +-- feature intersects geometry -- for areas and linestrings they must touch at least along a line CREATE OR REPLACE FUNCTION is_relevant_geometry(de9im TEXT, geom_type TEXT) RETURNS BOOLEAN @@ -32,7 +39,10 @@ BEGIN END $$ LANGUAGE plpgsql IMMUTABLE; -create or replace function getNearFeatures(in_partition INTEGER, feature GEOMETRY, maxrank INTEGER) RETURNS setof nearfeaturecentr AS $$ +CREATE OR REPLACE function getNearFeatures(in_partition INTEGER, feature GEOMETRY, + feature_centroid GEOMETRY, + maxrank INTEGER) +RETURNS setof nearfeaturecentr AS $$ DECLARE r nearfeaturecentr%rowtype; BEGIN @@ -41,7 +51,11 @@ BEGIN IF in_partition = {{ partition }} THEN FOR r IN SELECT place_id, keywords, rank_address, rank_search, - min(ST_Distance(feature, centroid)) as distance, + CASE WHEN isguess THEN ST_Distance(feature, centroid) + ELSE min(ST_Distance(feature_centroid, geometry)) + -- tie breaker when distance is the same (i.e. way is on boundary) + + 0.00001 * ST_Distance(feature, centroid) + END as distance, isguess, postcode, centroid FROM location_area_large_{{ partition }} WHERE geometry && feature @@ -82,7 +96,7 @@ BEGIN AND rank_address between from_rank and to_rank AND token_matches_address(token_info, key, keywords) GROUP BY place_id, keywords, rank_address, rank_search, isguess, postcode, centroid - ORDER BY bool_or(ST_Intersects(geometry, feature)), distance LIMIT 1; + ORDER BY bool_or(ST_Intersects(geometry, feature)) DESC, distance LIMIT 1; RETURN r; END IF; {% endfor %}