+ conn.commit()
+
+
+def import_osm_data(osm_file, options, drop=False, ignore_errors=False):
+ """ Import the given OSM file. 'options' contains the list of
+ default settings for osm2pgsql.
+ """
+ options['import_file'] = osm_file
+ options['append'] = False
+ options['threads'] = 1
+
+ if not options['flatnode_file'] and options['osm2pgsql_cache'] == 0:
+ # Make some educated guesses about cache size based on the size
+ # of the import file and the available memory.
+ mem = psutil.virtual_memory()
+ fsize = os.stat(str(osm_file)).st_size
+ options['osm2pgsql_cache'] = int(min((mem.available + mem.cached) * 0.75,
+ fsize * 2) / 1024 / 1024) + 1
+
+ run_osm2pgsql(options)
+
+ with connect(options['dsn']) as conn:
+ if not ignore_errors:
+ with conn.cursor() as cur:
+ cur.execute('SELECT * FROM place LIMIT 1')
+ if cur.rowcount == 0:
+ raise UsageError('No data imported by osm2pgsql.')
+
+ if drop:
+ conn.drop_table('planet_osm_nodes')
+
+ if drop:
+ if options['flatnode_file']:
+ Path(options['flatnode_file']).unlink()
+
+
+def create_tables(conn, config, sqllib_dir, 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.env.globals['db']['reverse_only'] = reverse_only
+
+ sql.run_sql_file(conn, 'tables.sql')
+
+
+def create_table_triggers(conn, config, sqllib_dir):
+ """ 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.run_sql_file(conn, 'table-triggers.sql')
+
+
+def create_partition_tables(conn, config, sqllib_dir):
+ """ Create tables that have explicit partitioning.
+ """
+ sql = SQLPreprocessor(conn, config, sqllib_dir)
+ sql.run_sql_file(conn, 'partition-tables.src.sql')
+
+
+def truncate_data_tables(conn, max_word_frequency=None):
+ """ 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')
+ if conn.table_exists('search_name'):
+ cur.execute('TRUNCATE search_name')
+ cur.execute('DROP SEQUENCE IF EXISTS seq_place')
+ cur.execute('CREATE SEQUENCE seq_place start 100000')
+
+ cur.execute("""SELECT tablename FROM pg_tables
+ WHERE tablename LIKE 'location_road_%'""")
+
+ 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()
+
+_COPY_COLUMNS = 'osm_type, osm_id, class, type, name, admin_level, address, extratags, geometry'
+
+def load_data(dsn, data_dir, 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)
+ for imod in range(place_threads):
+ conn = DBConnection(dsn)
+ conn.connect()
+ conn.perform("""INSERT INTO placex ({0})
+ SELECT {0} FROM place
+ WHERE osm_id % {1} = {2}
+ AND NOT (class='place' and type='houses')
+ AND ST_IsValid(geometry)
+ """.format(_COPY_COLUMNS, place_threads, imod))
+ sel.register(conn, selectors.EVENT_READ, conn)
+
+ # Address interpolations go into another table.
+ conn = DBConnection(dsn)
+ conn.connect()
+ conn.perform("""INSERT INTO location_property_osmline (osm_id, address, linegeo)
+ SELECT osm_id, address, geometry FROM place
+ WHERE class='place' and type='houses' and osm_type='W'
+ and ST_GeometryType(geometry) = 'ST_LineString'
+ """)
+ sel.register(conn, selectors.EVENT_READ, conn)
+
+ # Now wait for all of them to finish.
+ todo = place_threads + 1
+ while todo > 0:
+ for key, _ in sel.select(1):
+ conn = key.data
+ sel.unregister(conn)
+ conn.wait()
+ conn.close()
+ todo -= 1
+ print('.', end='', flush=True)
+ print('\n')
+
+ with connect(dsn) as conn:
+ with conn.cursor() as cur:
+ cur.execute('ANALYSE')
+
+
+def create_search_indices(conn, config, sqllib_dir, drop=False):
+ """ Create tables that have explicit partitioning.
+ """
+
+ # If index creation failed and left an index invalid, they need to be
+ # cleaned out first, so that the script recreates them.
+ with conn.cursor() as cur:
+ cur.execute("""SELECT relname FROM pg_class, pg_index
+ WHERE pg_index.indisvalid = false
+ AND pg_index.indexrelid = pg_class.oid""")
+ bad_indices = [row[0] for row in list(cur)]
+ for idx in bad_indices:
+ LOG.info("Drop invalid index %s.", idx)
+ cur.execute('DROP INDEX "{}"'.format(idx))
+ conn.commit()
+
+ sql = SQLPreprocessor(conn, config, sqllib_dir)
+
+ sql.run_sql_file(conn, 'indices.sql', drop=drop)
+
+def create_country_names(conn, config):
+ """ Create search index for default country names.
+ """
+
+ with conn.cursor() as cur:
+ cur.execute("""select
+ getorcreate_country(make_standard_name('uk')
+ , 'gb')""")
+ cur.execute("""select getorcreate_country(make_standard_name('united states'), 'us')""")
+ cur.execute("""select count(*) from
+ (select getorcreate_country(make_standard_name(country_code),
+ country_code) from country_name where country_code is not null) as x""")
+ cur.execute("""select count(*) from
+ (select getorcreate_country(make_standard_name(name->'name'),
+ country_code) from country_name where name ? 'name') as x""")
+ sql_statement = """select count(*) from (select getorcreate_country(make_standard_name(v)
+ , country_code) from (select country_code, skeys(name)
+ as k, svals(name) as v from country_name) x where k """
+
+ languages = config.LANGUAGES
+
+ if languages:
+ sql_statement += 'in '
+ delim = '('
+ for language in languages.split(','):
+ sql_statement += delim + "'name:" + language + "'"
+ delim = ','
+
+ sql_statement += ')'
+ else:
+ sql_statement += "like 'name:%'"
+ sql_statement += ') v'
+ cur.execute(sql_statement)
+ conn.commit()
projects / nominatim.git / blobdiff