X-Git-Url: https://git.openstreetmap.org./nominatim.git/blobdiff_plain/dd03aeb966c2a101759d447a0fa00340812c89da..a2edbbf78a9612193d7751806d310de385549dee:/nominatim/tools/database_import.py diff --git a/nominatim/tools/database_import.py b/nominatim/tools/database_import.py index 7d71386f..efbf2ec8 100644 --- a/nominatim/tools/database_import.py +++ b/nominatim/tools/database_import.py @@ -5,18 +5,18 @@ import logging import os import selectors import subprocess -import shutil from pathlib import Path import psutil -import psycopg2 +import psycopg2.extras -from ..db.connection import connect, get_pg_env -from ..db import utils as db_utils -from ..db.async_connection import DBConnection -from .exec_utils import run_osm2pgsql -from ..errors import UsageError -from ..version import POSTGRESQL_REQUIRED_VERSION, POSTGIS_REQUIRED_VERSION +from nominatim.db.connection import connect, get_pg_env +from nominatim.db import utils as db_utils +from nominatim.db.async_connection import DBConnection +from nominatim.db.sql_preprocessor import SQLPreprocessor +from nominatim.tools.exec_utils import run_osm2pgsql +from nominatim.errors import UsageError +from nominatim.version import POSTGRESQL_REQUIRED_VERSION, POSTGIS_REQUIRED_VERSION LOG = logging.getLogger() @@ -88,49 +88,6 @@ def setup_extensions(conn): 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. @@ -178,20 +135,45 @@ def import_osm_data(osm_file, options, drop=False, ignore_errors=False): Path(options['flatnode_file']).unlink() -def truncate_data_tables(conn, max_word_frequency=None): +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) + sql.env.globals['db']['reverse_only'] = reverse_only + + sql.run_sql_file(conn, 'tables.sql') + + +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) + sql.run_sql_file(conn, 'table-triggers.sql') + + +def create_partition_tables(conn, config): + """ Create tables that have explicit partitioning. + """ + sql = SQLPreprocessor(conn, config) + sql.run_sql_file(conn, 'partition-tables.src.sql') + + +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') - cur.execute('TRUNCATE search_name') + 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') @@ -201,23 +183,13 @@ def truncate_data_tables(conn, max_word_frequency=None): 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 chunks. place_threads = max(1, threads - 1) @@ -227,7 +199,7 @@ def load_data(dsn, data_dir, threads): conn.perform("""INSERT INTO placex ({0}) SELECT {0} FROM place WHERE osm_id % {1} = {2} - AND NOT (class='place' and type='houses') + AND NOT (class='place' and (type='houses' or type='postcode')) AND ST_IsValid(geometry) """.format(_COPY_COLUMNS, place_threads, imod)) sel.register(conn, selectors.EVENT_READ, conn) @@ -257,3 +229,59 @@ def load_data(dsn, data_dir, threads): with connect(dsn) as conn: with conn.cursor() as cur: cur.execute('ANALYSE') + + +def create_search_indices(conn, config, 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) + + sql.run_sql_file(conn, 'indices.sql', drop=drop) + +def create_country_names(conn, tokenizer, languages=None): + """ Add default country names to search index. `languages` is a comma- + separated list of language codes as used in OSM. If `languages` is not + empty then only name translations for the given languages are added + to the index. + """ + if languages: + languages = languages.split(',') + + def _include_key(key): + return key == 'name' or \ + (key.startswith('name:') \ + and (not languages or key[5:] in languages)) + + with conn.cursor() as cur: + psycopg2.extras.register_hstore(cur) + cur.execute("""SELECT country_code, name FROM country_name + WHERE country_code is not null""") + + with tokenizer.name_analyzer() as analyzer: + for code, name in cur: + names = {'countrycode' : code} + if code == 'gb': + names['short_name'] = 'UK' + if code == 'us': + names['short_name'] = 'United States' + + # country names (only in languages as provided) + if name: + names.update(((k, v) for k, v in name.items() if _include_key(k))) + + analyzer.add_country_names(code, names) + + conn.commit()