mirror of
https://github.com/osm-search/Nominatim.git
synced 2026-02-26 11:08:13 +00:00
use psycopg's SQL quoting where possible
Use the SQL formatting supplied with psycopg whenever the query needs to be put together from snippets.
This commit is contained in:
@@ -5,13 +5,17 @@ tasks.
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import functools
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import functools
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import psycopg2.extras
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import psycopg2.extras
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from psycopg2 import sql as pysql
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# pylint: disable=C0111
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# pylint: disable=C0111
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def _mk_valuelist(template, num):
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return pysql.SQL(',').join([pysql.SQL(template)] * num)
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class AbstractPlacexRunner:
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class AbstractPlacexRunner:
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""" Returns SQL commands for indexing of the placex table.
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""" Returns SQL commands for indexing of the placex table.
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"""
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"""
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SELECT_SQL = 'SELECT place_id FROM placex'
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SELECT_SQL = pysql.SQL('SELECT place_id FROM placex ')
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def __init__(self, rank, analyzer):
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def __init__(self, rank, analyzer):
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self.rank = rank
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self.rank = rank
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@@ -21,11 +25,12 @@ class AbstractPlacexRunner:
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@staticmethod
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@staticmethod
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@functools.lru_cache(maxsize=1)
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@functools.lru_cache(maxsize=1)
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def _index_sql(num_places):
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def _index_sql(num_places):
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return """ UPDATE placex
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return pysql.SQL(
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SET indexed_status = 0, address = v.addr, token_info = v.ti
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""" UPDATE placex
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FROM (VALUES {}) as v(id, addr, ti)
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SET indexed_status = 0, address = v.addr, token_info = v.ti
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WHERE place_id = v.id
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FROM (VALUES {}) as v(id, addr, ti)
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""".format(','.join(["(%s, %s::hstore, %s::jsonb)"] * num_places))
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WHERE place_id = v.id
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""").format(_mk_valuelist("(%s, %s::hstore, %s::jsonb)", num_places))
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@staticmethod
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@staticmethod
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@@ -52,14 +57,15 @@ class RankRunner(AbstractPlacexRunner):
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return "rank {}".format(self.rank)
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return "rank {}".format(self.rank)
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def sql_count_objects(self):
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def sql_count_objects(self):
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return """SELECT count(*) FROM placex
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return pysql.SQL("""SELECT count(*) FROM placex
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WHERE rank_address = {} and indexed_status > 0
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WHERE rank_address = {} and indexed_status > 0
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""".format(self.rank)
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""").format(pysql.Literal(self.rank))
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def sql_get_objects(self):
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def sql_get_objects(self):
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return """{} WHERE indexed_status > 0 and rank_address = {}
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return self.SELECT_SQL + pysql.SQL(
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ORDER BY geometry_sector
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"""WHERE indexed_status > 0 and rank_address = {}
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""".format(self.SELECT_SQL, self.rank)
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ORDER BY geometry_sector
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""").format(pysql.Literal(self.rank))
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class BoundaryRunner(AbstractPlacexRunner):
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class BoundaryRunner(AbstractPlacexRunner):
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@@ -71,17 +77,18 @@ class BoundaryRunner(AbstractPlacexRunner):
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return "boundaries rank {}".format(self.rank)
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return "boundaries rank {}".format(self.rank)
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def sql_count_objects(self):
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def sql_count_objects(self):
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return """SELECT count(*) FROM placex
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return pysql.SQL("""SELECT count(*) FROM placex
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WHERE indexed_status > 0
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WHERE indexed_status > 0
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AND rank_search = {}
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AND rank_search = {}
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AND class = 'boundary' and type = 'administrative'
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AND class = 'boundary' and type = 'administrative'
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""".format(self.rank)
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""").format(pysql.Literal(self.rank))
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def sql_get_objects(self):
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def sql_get_objects(self):
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return """{} WHERE indexed_status > 0 and rank_search = {}
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return self.SELECT_SQL + pysql.SQL(
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and class = 'boundary' and type = 'administrative'
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"""WHERE indexed_status > 0 and rank_search = {}
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ORDER BY partition, admin_level
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and class = 'boundary' and type = 'administrative'
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""".format(self.SELECT_SQL, self.rank)
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ORDER BY partition, admin_level
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""").format(pysql.Literal(self.rank))
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class InterpolationRunner:
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class InterpolationRunner:
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@@ -120,11 +127,11 @@ class InterpolationRunner:
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@staticmethod
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@staticmethod
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@functools.lru_cache(maxsize=1)
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@functools.lru_cache(maxsize=1)
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def _index_sql(num_places):
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def _index_sql(num_places):
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return """ UPDATE location_property_osmline
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return pysql.SQL("""UPDATE location_property_osmline
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SET indexed_status = 0, address = v.addr, token_info = v.ti
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SET indexed_status = 0, address = v.addr, token_info = v.ti
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FROM (VALUES {}) as v(id, addr, ti)
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FROM (VALUES {}) as v(id, addr, ti)
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WHERE place_id = v.id
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WHERE place_id = v.id
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""".format(','.join(["(%s, %s::hstore, %s::jsonb)"] * num_places))
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""").format(_mk_valuelist("(%s, %s::hstore, %s::jsonb)", num_places))
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def index_places(self, worker, places):
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def index_places(self, worker, places):
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@@ -157,6 +164,6 @@ class PostcodeRunner:
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@staticmethod
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@staticmethod
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def index_places(worker, ids):
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def index_places(worker, ids):
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worker.perform(""" UPDATE location_postcode SET indexed_status = 0
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worker.perform(pysql.SQL("""UPDATE location_postcode SET indexed_status = 0
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WHERE place_id IN ({})
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WHERE place_id IN ({})""")
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""".format(','.join((str(i[0]) for i in ids))))
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.format(pysql.SQL(',').join((pysql.Literal(i[0]) for i in ids))))
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@@ -383,9 +383,9 @@ class LegacyICUNameAnalyzer:
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if word_tokens:
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if word_tokens:
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cur.execute("""INSERT INTO word (word_id, word_token, country_code,
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cur.execute("""INSERT INTO word (word_id, word_token, country_code,
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search_name_count)
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search_name_count)
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(SELECT nextval('seq_word'), token, '{}', 0
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(SELECT nextval('seq_word'), token, %s, 0
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FROM unnest(%s) as token)
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FROM unnest(%s) as token)
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""".format(country_code), (list(word_tokens),))
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""", (country_code, list(word_tokens)))
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def process_place(self, place):
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def process_place(self, place):
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@@ -9,6 +9,7 @@ from pathlib import Path
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import psutil
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import psutil
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import psycopg2.extras
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import psycopg2.extras
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from psycopg2 import sql as pysql
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from nominatim.db.connection import connect, get_pg_env
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from nominatim.db.connection import connect, get_pg_env
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from nominatim.db import utils as db_utils
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from nominatim.db import utils as db_utils
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@@ -185,7 +186,10 @@ def truncate_data_tables(conn):
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conn.commit()
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conn.commit()
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_COPY_COLUMNS = 'osm_type, osm_id, class, type, name, admin_level, address, extratags, geometry'
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_COPY_COLUMNS = pysql.SQL(',').join(map(pysql.Identifier,
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('osm_type', 'osm_id', 'class', 'type',
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'name', 'admin_level', 'address',
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'extratags', 'geometry')))
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def load_data(dsn, threads):
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def load_data(dsn, threads):
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@@ -197,12 +201,15 @@ def load_data(dsn, threads):
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for imod in range(place_threads):
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for imod in range(place_threads):
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conn = DBConnection(dsn)
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conn = DBConnection(dsn)
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conn.connect()
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conn.connect()
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conn.perform("""INSERT INTO placex ({0})
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conn.perform(
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SELECT {0} FROM place
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pysql.SQL("""INSERT INTO placex ({columns})
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WHERE osm_id % {1} = {2}
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SELECT {columns} FROM place
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AND NOT (class='place' and (type='houses' or type='postcode'))
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WHERE osm_id % {total} = {mod}
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AND ST_IsValid(geometry)
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AND NOT (class='place' and (type='houses' or type='postcode'))
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""".format(_COPY_COLUMNS, place_threads, imod))
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AND ST_IsValid(geometry)
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""").format(columns=_COPY_COLUMNS,
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total=pysql.Literal(place_threads),
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mod=pysql.Literal(imod)))
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sel.register(conn, selectors.EVENT_READ, conn)
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sel.register(conn, selectors.EVENT_READ, conn)
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# Address interpolations go into another table.
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# Address interpolations go into another table.
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@@ -3,6 +3,8 @@ Functions for removing unnecessary data from the database.
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"""
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"""
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from pathlib import Path
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from pathlib import Path
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from psycopg2 import sql as pysql
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UPDATE_TABLES = [
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UPDATE_TABLES = [
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'address_levels',
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'address_levels',
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'gb_postcode',
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'gb_postcode',
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@@ -21,11 +23,11 @@ def drop_update_tables(conn):
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""" Drop all tables only necessary for updating the database from
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""" Drop all tables only necessary for updating the database from
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OSM replication data.
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OSM replication data.
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"""
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"""
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parts = (pysql.SQL("(tablename LIKE {})").format(pysql.Literal(t)) for t in UPDATE_TABLES)
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where = ' or '.join(["(tablename LIKE '{}')".format(t) for t in UPDATE_TABLES])
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with conn.cursor() as cur:
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with conn.cursor() as cur:
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cur.execute("SELECT tablename FROM pg_tables WHERE " + where)
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cur.execute(pysql.SQL("SELECT tablename FROM pg_tables WHERE ")
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+ pysql.SQL(' or ').join(parts))
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tables = [r[0] for r in cur]
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tables = [r[0] for r in cur]
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for table in tables:
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for table in tables:
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@@ -58,7 +58,7 @@ def load_address_levels(conn, table, levels):
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rank_address SMALLINT)""".format(table))
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rank_address SMALLINT)""".format(table))
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cur.execute_values(pysql.SQL("INSERT INTO {} VALUES %s")
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cur.execute_values(pysql.SQL("INSERT INTO {} VALUES %s")
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.format(pysql.Identifier(table)), rows)
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.format(pysql.Identifier(table)), rows)
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cur.execute('CREATE UNIQUE INDEX ON {} (country_code, class, type)'.format(table))
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cur.execute('CREATE UNIQUE INDEX ON {} (country_code, class, type)'.format(table))
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