1 # SPDX-License-Identifier: GPL-2.0-only
3 # This file is part of Nominatim. (https://nominatim.org)
5 # Copyright (C) 2022 by the Nominatim developer community.
6 # For a full list of authors see the git log.
8 Mix-ins that provide the actual commands for the indexer for various indexing
13 from psycopg2 import sql as pysql
15 from nominatim.indexer.place_info import PlaceInfo
17 # pylint: disable=C0111
19 def _mk_valuelist(template, num):
20 return pysql.SQL(',').join([pysql.SQL(template)] * num)
23 class AbstractPlacexRunner:
24 """ Returns SQL commands for indexing of the placex table.
26 SELECT_SQL = pysql.SQL('SELECT place_id FROM placex ')
27 UPDATE_LINE = "(%s, %s::hstore, %s::hstore, %s::int, %s::jsonb)"
29 def __init__(self, rank, analyzer):
31 self.analyzer = analyzer
35 @functools.lru_cache(maxsize=1)
36 def _index_sql(num_places):
39 SET indexed_status = 0, address = v.addr, token_info = v.ti,
40 name = v.name, linked_place_id = v.linked_place_id
41 FROM (VALUES {}) as v(id, name, addr, linked_place_id, ti)
43 """).format(_mk_valuelist(AbstractPlacexRunner.UPDATE_LINE, num_places))
47 def get_place_details(worker, ids):
48 worker.perform("""SELECT place_id, extra.*
49 FROM placex, LATERAL placex_indexing_prepare(placex) as extra
50 WHERE place_id IN %s""",
51 (tuple((p[0] for p in ids)), ))
54 def index_places(self, worker, places):
57 for field in ('place_id', 'name', 'address', 'linked_place_id'):
58 values.append(place[field])
59 values.append(PlaceInfo(place).analyze(self.analyzer))
61 worker.perform(self._index_sql(len(places)), values)
64 class RankRunner(AbstractPlacexRunner):
65 """ Returns SQL commands for indexing one rank within the placex table.
69 return "rank {}".format(self.rank)
71 def sql_count_objects(self):
72 return pysql.SQL("""SELECT count(*) FROM placex
73 WHERE rank_address = {} and indexed_status > 0
74 """).format(pysql.Literal(self.rank))
76 def sql_get_objects(self):
77 return self.SELECT_SQL + pysql.SQL(
78 """WHERE indexed_status > 0 and rank_address = {}
79 ORDER BY geometry_sector
80 """).format(pysql.Literal(self.rank))
83 class BoundaryRunner(AbstractPlacexRunner):
84 """ Returns SQL commands for indexing the administrative boundaries
89 return "boundaries rank {}".format(self.rank)
91 def sql_count_objects(self):
92 return pysql.SQL("""SELECT count(*) FROM placex
93 WHERE indexed_status > 0
95 AND class = 'boundary' and type = 'administrative'
96 """).format(pysql.Literal(self.rank))
98 def sql_get_objects(self):
99 return self.SELECT_SQL + pysql.SQL(
100 """WHERE indexed_status > 0 and rank_search = {}
101 and class = 'boundary' and type = 'administrative'
102 ORDER BY partition, admin_level
103 """).format(pysql.Literal(self.rank))
106 class InterpolationRunner:
107 """ Returns SQL commands for indexing the address interpolation table
108 location_property_osmline.
111 def __init__(self, analyzer):
112 self.analyzer = analyzer
117 return "interpolation lines (location_property_osmline)"
120 def sql_count_objects():
121 return """SELECT count(*) FROM location_property_osmline
122 WHERE indexed_status > 0"""
125 def sql_get_objects():
126 return """SELECT place_id
127 FROM location_property_osmline
128 WHERE indexed_status > 0
129 ORDER BY geometry_sector"""
133 def get_place_details(worker, ids):
134 worker.perform("""SELECT place_id, get_interpolation_address(address, osm_id) as address
135 FROM location_property_osmline WHERE place_id IN %s""",
136 (tuple((p[0] for p in ids)), ))
140 @functools.lru_cache(maxsize=1)
141 def _index_sql(num_places):
142 return pysql.SQL("""UPDATE location_property_osmline
143 SET indexed_status = 0, address = v.addr, token_info = v.ti
144 FROM (VALUES {}) as v(id, addr, ti)
145 WHERE place_id = v.id
146 """).format(_mk_valuelist("(%s, %s::hstore, %s::jsonb)", num_places))
149 def index_places(self, worker, places):
152 values.extend((place[x] for x in ('place_id', 'address')))
153 values.append(PlaceInfo(place).analyze(self.analyzer))
155 worker.perform(self._index_sql(len(places)), values)
159 class PostcodeRunner:
160 """ Provides the SQL commands for indexing the location_postcode table.
165 return "postcodes (location_postcode)"
168 def sql_count_objects():
169 return 'SELECT count(*) FROM location_postcode WHERE indexed_status > 0'
172 def sql_get_objects():
173 return """SELECT place_id FROM location_postcode
174 WHERE indexed_status > 0
175 ORDER BY country_code, postcode"""
178 def index_places(worker, ids):
179 worker.perform(pysql.SQL("""UPDATE location_postcode SET indexed_status = 0
180 WHERE place_id IN ({})""")
181 .format(pysql.SQL(',').join((pysql.Literal(i[0]) for i in ids))))