from textwrap import dedent
from pathlib import Path
-from psycopg2 import sql as pysql
+from psycopg import sql as pysql
from ..config import Configuration
-from ..db.connection import Connection, connect
-from ..db.utils import execute_file, CopyBuffer
+from ..db.connection import Connection, connect, postgis_version_tuple,\
+ drop_tables, table_exists
+from ..db.utils import execute_file
from ..db.sql_preprocessor import SQLPreprocessor
from ..version import NOMINATIM_VERSION
for entry in levels:
_add_address_level_rows_from_entry(rows, entry)
- with conn.cursor() as cur:
- cur.drop_table(table)
+ drop_tables(conn, table)
+ with conn.cursor() as cur:
cur.execute(pysql.SQL("""CREATE TABLE {} (
country_code varchar(2),
class TEXT,
rank_address SMALLINT)
""").format(pysql.Identifier(table)))
- cur.execute_values(pysql.SQL("INSERT INTO {} VALUES %s")
- .format(pysql.Identifier(table)), rows)
+ cur.executemany(pysql.SQL("INSERT INTO {} VALUES (%s, %s, %s, %s, %s)")
+ .format(pysql.Identifier(table)), rows)
cur.execute(pysql.SQL('CREATE UNIQUE INDEX ON {} (country_code, class, type)')
.format(pysql.Identifier(table)))
if not data_file.exists():
return 1
- # Only import the first occurence of a wikidata ID.
+ # Only import the first occurrence of a wikidata ID.
# This keeps indexes and table small.
wd_done = set()
with connect(dsn) as conn:
+ drop_tables(conn, 'wikipedia_article', 'wikipedia_redirect', 'wikimedia_importance')
with conn.cursor() as cur:
- cur.drop_table('wikipedia_article')
- cur.drop_table('wikipedia_redirect')
- cur.drop_table('wikimedia_importance')
cur.execute("""CREATE TABLE wikimedia_importance (
language TEXT NOT NULL,
title TEXT NOT NULL,
wikidata TEXT
) """)
- with gzip.open(str(data_file), 'rt') as fd, CopyBuffer() as buf:
- for row in csv.DictReader(fd, delimiter='\t', quotechar='|'):
- wd_id = int(row['wikidata_id'][1:])
- buf.add(row['language'], row['title'], row['importance'],
- None if wd_id in wd_done else row['wikidata_id'])
- wd_done.add(wd_id)
-
- if buf.size() > 10000000:
- with conn.cursor() as cur:
- buf.copy_out(cur, 'wikimedia_importance',
- columns=['language', 'title', 'importance',
- 'wikidata'])
+ copy_cmd = """COPY wikimedia_importance(language, title, importance, wikidata)
+ FROM STDIN"""
+ with gzip.open(str(data_file), 'rt') as fd, cur.copy(copy_cmd) as copy:
+ for row in csv.DictReader(fd, delimiter='\t', quotechar='|'):
+ wd_id = int(row['wikidata_id'][1:])
+ copy.write_row((row['language'],
+ row['title'],
+ row['importance'],
+ None if wd_id in wd_done else row['wikidata_id']))
+ wd_done.add(wd_id)
- with conn.cursor() as cur:
- buf.copy_out(cur, 'wikimedia_importance',
- columns=['language', 'title', 'importance', 'wikidata'])
-
- with conn.cursor() as cur:
cur.execute("""CREATE INDEX IF NOT EXISTS idx_wikimedia_importance_title
ON wikimedia_importance (title)""")
cur.execute("""CREATE INDEX IF NOT EXISTS idx_wikimedia_importance_wikidata
return 1
with connect(dsn) as conn:
- postgis_version = conn.postgis_version_tuple()
+ postgis_version = postgis_version_tuple(conn)
if postgis_version[0] < 3:
LOG.error('PostGIS version is too old for using OSM raster data.')
return 2
template = "\nrequire_once(CONST_LibDir.'/website/{}');\n"
- search_name_table_exists = bool(conn and conn.table_exists('search_name'))
+ search_name_table_exists = bool(conn and table_exists(conn, 'search_name'))
for script in WEBSITE_SCRIPTS:
if not search_name_table_exists and script == 'search.php':