]> git.openstreetmap.org Git - nominatim.git/blobdiff - lib-sql/functions/partition-functions.sql
Merge remote-tracking branch 'upstream/master'
[nominatim.git] / lib-sql / functions / partition-functions.sql
index 5eb1aef1e95c535a3160a8252b20c4c1c5c28fb9..20ec3da6bb6853ec38c334ec483f784320e7dc0b 100644 (file)
@@ -17,7 +17,7 @@ CREATE TYPE nearfeaturecentr AS (
   centroid GEOMETRY
 );
 
   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
 -- 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
@@ -51,7 +51,11 @@ BEGIN
   IF in_partition = {{ partition }} THEN
     FOR r IN
       SELECT place_id, keywords, rank_address, rank_search,
   IF in_partition = {{ partition }} THEN
     FOR r IN
       SELECT place_id, keywords, rank_address, rank_search,
-             min(ST_Distance(feature_centroid, geometry)) 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
              isguess, postcode, centroid
       FROM location_area_large_{{ partition }}
       WHERE geometry && feature
@@ -92,7 +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
               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 %}
       RETURN r;
   END IF;
 {% endfor %}