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);
+CREATE INDEX idx_location_area_country_geometry ON location_area_country USING GIST (geometry) TABLESPACE ssd;
CREATE TABLE search_name_country () INHERITS (search_name_blank);
-CREATE INDEX idx_search_name_country_place_id ON search_name_country USING BTREE (place_id);
-CREATE INDEX idx_search_name_country_name_vector ON search_name_country USING GIN (name_vector) WITH (fastupdate = off);
+CREATE INDEX idx_search_name_country_place_id ON search_name_country USING BTREE (place_id) TABLESPACE ssd;
+CREATE INDEX idx_search_name_country_name_vector ON search_name_country USING GIN (name_vector) WITH (fastupdate = off) TABLESPACE ssd;
-- start
CREATE TABLE location_area_large_-partition- () INHERITS (location_area_large);
-CREATE INDEX idx_location_area_large_-partition-_place_id ON location_area_large_-partition- USING BTREE (place_id);
-CREATE INDEX idx_location_area_large_-partition-_geometry ON location_area_large_-partition- USING GIST (geometry);
+CREATE INDEX idx_location_area_large_-partition-_place_id ON location_area_large_-partition- USING BTREE (place_id) TABLESPACE ssd;
+CREATE INDEX idx_location_area_large_-partition-_geometry ON location_area_large_-partition- USING GIST (geometry) TABLESPACE ssd;
CREATE TABLE search_name_-partition- () INHERITS (search_name_blank);
-CREATE INDEX idx_search_name_-partition-_place_id ON search_name_-partition- USING BTREE (place_id);
-CREATE INDEX idx_search_name_-partition-_centroid ON search_name_-partition- USING GIST (centroid);
-CREATE INDEX idx_search_name_-partition-_name_vector ON search_name_-partition- USING GIN (name_vector) WITH (fastupdate = off);
+CREATE INDEX idx_search_name_-partition-_place_id ON search_name_-partition- USING BTREE (place_id) TABLESPACE ssd;
+CREATE INDEX idx_search_name_-partition-_centroid ON search_name_-partition- USING GIST (centroid) TABLESPACE ssd;
+CREATE INDEX idx_search_name_-partition-_name_vector ON search_name_-partition- USING GIN (name_vector) WITH (fastupdate = off) TABLESPACE ssd;
CREATE TABLE location_property_-partition- () INHERITS (location_property);
CREATE INDEX idx_location_property_-partition-_place_id ON location_property_-partition- USING BTREE (place_id);
country_code VARCHAR(2)
);
SELECT AddGeometryColumn('location_road_-partition-', 'geometry', 4326, 'GEOMETRY', 2);
-CREATE INDEX idx_location_road_-partition-_geometry ON location_road_-partition- USING GIST (geometry);
-CREATE INDEX idx_location_road_-partition-_place_id ON location_road_-partition- USING BTREE (place_id);
+CREATE INDEX idx_location_road_-partition-_geometry ON location_road_-partition- USING GIST (geometry) TABLESPACE ssd;
+CREATE INDEX idx_location_road_-partition-_place_id ON location_road_-partition- USING BTREE (place_id) TABLESPACE ssd;
-- 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