keep slim tables in ssd for osm2pgsql

[nominatim.git] / sql / partitions.src.sql

diff --git a/sql/partitions.src.sql b/sql/partitions.src.sql
index 9c078980b84c65fb65d2925ae42c90dd9e0643ad..3fb7962c4e5d3a62bb0d6ca8e6b641ed10aeb2a0 100644 (file)
--- a/sql/partitions.src.sql
+++ b/sql/partitions.src.sql
@@ -13,6 +13,17 @@ create type nearfeature as (
   isguess boolean
 );
 
+drop type nearfeaturecentr cascade;
+create type nearfeaturecentr as (
+  place_id BIGINT,
+  keywords int[],
+  rank_address integer,
+  rank_search integer,
+  distance float,
+  isguess boolean,
+  centroid GEOMETRY
+);
+
 CREATE TABLE location_area_country () INHERITS (location_area_large);
 CREATE INDEX idx_location_area_country_geometry ON location_area_country USING GIST (geometry) TABLESPACE ssd;
 
@@ -46,21 +57,21 @@ CREATE INDEX idx_location_road_-partition-_place_id ON location_road_-partition-
 
 -- end
 
-create or replace function getNearFeatures(in_partition INTEGER, point GEOMETRY, maxrank INTEGER, isin_tokens INT[]) RETURNS setof nearfeature AS $$
+create or replace function getNearFeatures(in_partition INTEGER, point GEOMETRY, maxrank INTEGER, isin_tokens INT[]) RETURNS setof nearfeaturecentr AS $$
 DECLARE
-  r nearfeature%rowtype;
+  r nearfeaturecentr%rowtype;
 BEGIN
 
 -- start
   IF in_partition = -partition- THEN
     FOR r IN 
-      SELECT place_id, keywords, rank_address, rank_search, min(ST_Distance(point, centroid)) as distance, isguess FROM (
+      SELECT place_id, keywords, rank_address, rank_search, min(ST_Distance(point, centroid)) as distance, isguess, centroid FROM (
         SELECT * FROM location_area_large_-partition- WHERE ST_Contains(geometry, point) and rank_search < maxrank
         UNION ALL
         SELECT * FROM location_area_country WHERE ST_Contains(geometry, point) and rank_search < maxrank
       ) as location_area
       GROUP BY place_id, keywords, rank_address, rank_search, isguess, centroid
-      ORDER BY rank_address desc, isin_tokens && keywords desc, isguess asc, 
+      ORDER BY rank_address, isin_tokens && keywords desc, isguess asc,
         ST_Distance(point, centroid) * 
           CASE 
                WHEN rank_address = 16 AND rank_search = 15 THEN 0.2 -- capital city