+drop type nearplace cascade;
create type nearplace as (
- place_id integer
+ place_id BIGINT
);
+drop type nearfeature cascade;
create type nearfeature as (
- place_id integer,
+ place_id BIGINT,
keywords int[],
rank_address integer,
rank_search integer,
- distance float
+ distance float,
+ 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_place_id ON location_area_country USING BTREE (place_id);
CREATE INDEX idx_location_area_country_geometry ON location_area_country USING GIST (geometry);
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_centroid ON search_name_country USING GIST (centroid);
-CREATE INDEX idx_search_name_country_name_vector ON search_name_country USING GIN (name_vector gin__int_ops) WITH (fastupdate = off);
-CREATE INDEX idx_search_name_country_nameaddress_vector ON search_name_country USING GIN (nameaddress_vector gin__int_ops) WITH (fastupdate = off);
+CREATE INDEX idx_search_name_country_name_vector ON search_name_country USING GIN (name_vector) WITH (fastupdate = off);
-- start
CREATE TABLE location_area_large_-partition- () INHERITS (location_area_large);
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 gin__int_ops) WITH (fastupdate = off);
-CREATE INDEX idx_search_name_-partition-_nameaddress_vector ON search_name_-partition- USING GIN (nameaddress_vector gin__int_ops) WITH (fastupdate = off);
+CREATE INDEX idx_search_name_-partition-_name_vector ON search_name_-partition- USING GIN (name_vector) WITH (fastupdate = off);
CREATE TABLE location_property_-partition- () INHERITS (location_property);
CREATE INDEX idx_location_property_-partition-_place_id ON location_property_-partition- USING BTREE (place_id);
CREATE INDEX idx_location_property_-partition-_parent_place_id ON location_property_-partition- USING BTREE (parent_place_id);
CREATE INDEX idx_location_property_-partition-_housenumber_parent_place_id ON location_property_-partition- USING BTREE (parent_place_id, housenumber);
---CREATE INDEX idx_location_property_-partition-_centroid ON location_property_-partition- USING GIST (centroid);
CREATE TABLE location_road_-partition- (
partition integer,
- place_id INTEGER,
+ place_id BIGINT,
country_code VARCHAR(2)
);
SELECT AddGeometryColumn('location_road_-partition-', 'geometry', 4326, 'GEOMETRY', 2);
-- 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 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
$$
LANGUAGE plpgsql;
-create or replace function deleteLocationArea(in_partition INTEGER, in_place_id integer) RETURNS BOOLEAN AS $$
+create or replace function deleteLocationArea(in_partition INTEGER, in_place_id BIGINT) RETURNS BOOLEAN AS $$
DECLARE
BEGIN
LANGUAGE plpgsql;
create or replace function insertLocationAreaLarge(
- in_partition INTEGER, in_place_id integer, in_country_code VARCHAR(2), in_keywords INTEGER[],
+ in_partition INTEGER, in_place_id BIGINT, in_country_code VARCHAR(2), in_keywords INTEGER[],
in_rank_search INTEGER, in_rank_address INTEGER, in_estimate BOOLEAN,
in_centroid GEOMETRY, in_geometry GEOMETRY) RETURNS BOOLEAN AS $$
DECLARE
IF in_partition = -partition- THEN
FOR r IN
SELECT place_id, name_vector, address_rank, search_rank,
- ST_Distance(centroid, point) as distance
+ ST_Distance(centroid, point) as distance, null as isguess
FROM search_name_-partition-
WHERE name_vector @> ARRAY[isin_token]
AND search_rank < maxrank
UNION ALL
SELECT place_id, name_vector, address_rank, search_rank,
- ST_Distance(centroid, point) as distance
+ ST_Distance(centroid, point) as distance, null as isguess
FROM search_name_country
WHERE name_vector @> ARRAY[isin_token]
AND search_rank < maxrank
IF in_partition = -partition- THEN
FOR r IN
SELECT place_id, name_vector, address_rank, search_rank,
- ST_Distance(centroid, point) as distance
+ ST_Distance(centroid, point) as distance, null as isguess
FROM search_name_-partition-
WHERE name_vector @> ARRAY[isin_token]
AND ST_DWithin(centroid, point, 0.01)
$$
LANGUAGE plpgsql;
+create or replace function getNearestPostcode(in_partition INTEGER, point GEOMETRY)
+ RETURNS TEXT AS $$
+DECLARE
+ out_postcode TEXT;
+BEGIN
+
+-- start
+ IF in_partition = -partition- THEN
+ SELECT postcode
+ FROM location_area_large_-partition- join placex using (place_id)
+ WHERE st_contains(location_area_large_-partition-.geometry, point)
+ AND class = 'place' and type = 'postcode'
+ ORDER BY st_distance(location_area_large_-partition-.centroid, point) ASC limit 1
+ INTO out_postcode;
+ RETURN out_postcode;
+ END IF;
+-- end
+
+ RAISE EXCEPTION 'Unknown partition %', in_partition;
+END
+$$
+LANGUAGE plpgsql;
+
create or replace function insertSearchName(
- in_partition INTEGER, in_place_id integer, in_country_code VARCHAR(2),
+ in_partition INTEGER, in_place_id BIGINT, in_country_code VARCHAR(2),
in_name_vector INTEGER[], in_nameaddress_vector INTEGER[],
in_rank_search INTEGER, in_rank_address INTEGER, in_importance FLOAT,
in_centroid GEOMETRY) RETURNS BOOLEAN AS $$
$$
LANGUAGE plpgsql;
-create or replace function deleteSearchName(in_partition INTEGER, in_place_id integer) RETURNS BOOLEAN AS $$
+create or replace function deleteSearchName(in_partition INTEGER, in_place_id BIGINT) RETURNS BOOLEAN AS $$
DECLARE
BEGIN
LANGUAGE plpgsql;
create or replace function insertLocationRoad(
- in_partition INTEGER, in_place_id integer, in_country_code VARCHAR(2), in_geometry GEOMETRY) RETURNS BOOLEAN AS $$
+ in_partition INTEGER, in_place_id BIGINT, in_country_code VARCHAR(2), in_geometry GEOMETRY) RETURNS BOOLEAN AS $$
DECLARE
BEGIN
$$
LANGUAGE plpgsql;
-create or replace function deleteRoad(in_partition INTEGER, in_place_id integer) RETURNS BOOLEAN AS $$
+create or replace function deleteRoad(in_partition INTEGER, in_place_id BIGINT) RETURNS BOOLEAN AS $$
DECLARE
BEGIN
WHILE search_diameter < 0.1 LOOP
FOR r IN
SELECT place_id, null, null, null,
- ST_Distance(geometry, point) as distance
+ ST_Distance(geometry, point) as distance, null as isguess
FROM location_road_-partition-
WHERE ST_DWithin(geometry, point, search_diameter)
ORDER BY distance ASC limit 1
WHILE search_diameter < 0.01 LOOP
FOR r IN
SELECT place_id, null, null, null,
- ST_Distance(geometry, line) as distance
+ ST_Distance(geometry, line) as distance, null as isguess
FROM location_road_-partition-
WHERE ST_DWithin(line, geometry, search_diameter)
ORDER BY (ST_distance(geometry, p1)+
projects / nominatim.git / blobdiff