import os
import selectors
import subprocess
-import shutil
from pathlib import Path
import psutil
-import psycopg2
from nominatim.db.connection import connect, get_pg_env
from nominatim.db import utils as db_utils
raise UsageError('PostGIS version is too old.')
-def install_module(src_dir, project_dir, module_dir, conn=None):
- """ Copy the normalization module from src_dir into the project
- directory under the '/module' directory. If 'module_dir' is set, then
- use the module from there instead and check that it is accessible
- for Postgresql.
-
- The function detects when the installation is run from the
- build directory. It doesn't touch the module in that case.
-
- If 'conn' is given, then the function also tests if the module
- can be access via the given database.
- """
- if not module_dir:
- module_dir = project_dir / 'module'
-
- if not module_dir.exists() or not src_dir.samefile(module_dir):
-
- if not module_dir.exists():
- module_dir.mkdir()
-
- destfile = module_dir / 'nominatim.so'
- shutil.copy(str(src_dir / 'nominatim.so'), str(destfile))
- destfile.chmod(0o755)
-
- LOG.info('Database module installed at %s', str(destfile))
- else:
- LOG.info('Running from build directory. Leaving database module as is.')
- else:
- LOG.info("Using custom path for database module at '%s'", module_dir)
-
- if conn is not None:
- with conn.cursor() as cur:
- try:
- cur.execute("""CREATE FUNCTION nominatim_test_import_func(text)
- RETURNS text AS '{}/nominatim.so', 'transliteration'
- LANGUAGE c IMMUTABLE STRICT;
- DROP FUNCTION nominatim_test_import_func(text)
- """.format(module_dir))
- except psycopg2.DatabaseError as err:
- LOG.fatal("Error accessing database module: %s", err)
- raise UsageError("Database module cannot be accessed.") from err
-
-
def import_base_data(dsn, sql_dir, ignore_partitions=False):
""" Create and populate the tables with basic static data that provides
the background for geocoding. Data is assumed to not yet exist.
Path(options['flatnode_file']).unlink()
-def create_tables(conn, config, sqllib_dir, reverse_only=False):
+def create_tables(conn, config, reverse_only=False):
""" Create the set of basic tables.
When `reverse_only` is True, then the main table for searching will
be skipped and only reverse search is possible.
"""
- sql = SQLPreprocessor(conn, config, sqllib_dir)
+ sql = SQLPreprocessor(conn, config)
sql.env.globals['db']['reverse_only'] = reverse_only
sql.run_sql_file(conn, 'tables.sql')
-def create_table_triggers(conn, config, sqllib_dir):
+def create_table_triggers(conn, config):
""" Create the triggers for the tables. The trigger functions must already
have been imported with refresh.create_functions().
"""
- sql = SQLPreprocessor(conn, config, sqllib_dir)
+ sql = SQLPreprocessor(conn, config)
sql.run_sql_file(conn, 'table-triggers.sql')
-def create_partition_tables(conn, config, sqllib_dir):
+def create_partition_tables(conn, config):
""" Create tables that have explicit partitioning.
"""
- sql = SQLPreprocessor(conn, config, sqllib_dir)
+ sql = SQLPreprocessor(conn, config)
sql.run_sql_file(conn, 'partition-tables.src.sql')
-def truncate_data_tables(conn, max_word_frequency=None):
+def truncate_data_tables(conn):
""" Truncate all data tables to prepare for a fresh load.
"""
with conn.cursor() as cur:
- cur.execute('TRUNCATE word')
cur.execute('TRUNCATE placex')
cur.execute('TRUNCATE place_addressline')
cur.execute('TRUNCATE location_area')
cur.execute('TRUNCATE location_area_country')
- cur.execute('TRUNCATE location_property')
cur.execute('TRUNCATE location_property_tiger')
cur.execute('TRUNCATE location_property_osmline')
cur.execute('TRUNCATE location_postcode')
for table in [r[0] for r in list(cur)]:
cur.execute('TRUNCATE ' + table)
- if max_word_frequency is not None:
- # Used by getorcreate_word_id to ignore frequent partial words.
- cur.execute("""CREATE OR REPLACE FUNCTION get_maxwordfreq()
- RETURNS integer AS $$
- SELECT {} as maxwordfreq;
- $$ LANGUAGE SQL IMMUTABLE
- """.format(max_word_frequency))
- conn.commit()
+ conn.commit()
_COPY_COLUMNS = 'osm_type, osm_id, class, type, name, admin_level, address, extratags, geometry'
-def load_data(dsn, data_dir, threads):
+def load_data(dsn, threads):
""" Copy data into the word and placex table.
"""
- # Pre-calculate the most important terms in the word list.
- db_utils.execute_file(dsn, data_dir / 'words.sql')
-
sel = selectors.DefaultSelector()
# Then copy data from place to placex in <threads - 1> chunks.
place_threads = max(1, threads - 1)
cur.execute('ANALYSE')
-def create_search_indices(conn, config, sqllib_dir, drop=False):
+def create_search_indices(conn, config, drop=False):
""" Create tables that have explicit partitioning.
"""
cur.execute('DROP INDEX "{}"'.format(idx))
conn.commit()
- sql = SQLPreprocessor(conn, config, sqllib_dir)
+ sql = SQLPreprocessor(conn, config)
sql.run_sql_file(conn, 'indices.sql', drop=drop)
projects / nominatim.git / blobdiff