X-Git-Url: https://git.openstreetmap.org/nominatim.git/blobdiff_plain/7d911f9ffbdf63b2b2a45c3a3ee7063d006a5779..f2b2b2b92ca87fdf6ae8fcd7062db76ff4c42f51:/nominatim/tokenizer/icu_tokenizer.py diff --git a/nominatim/tokenizer/icu_tokenizer.py b/nominatim/tokenizer/icu_tokenizer.py index b6e64637..9032d71b 100644 --- a/nominatim/tokenizer/icu_tokenizer.py +++ b/nominatim/tokenizer/icu_tokenizer.py @@ -31,6 +31,11 @@ DBCFG_TERM_NORMALIZATION = "tokenizer_term_normalization" LOG = logging.getLogger() +WORD_TYPES =(('country_names', 'C'), + ('postcodes', 'P'), + ('full_word', 'W'), + ('housenumbers', 'H')) + def create(dsn: str, data_dir: Path) -> 'ICUTokenizer': """ Create a new instance of the tokenizer provided by this module. """ @@ -62,7 +67,8 @@ class ICUTokenizer(AbstractTokenizer): if init_db: self.update_sql_functions(config) - self._init_db_tables(config) + self._setup_db_tables(config) + self._create_base_indices(config, 'word') def init_from_project(self, config: Configuration) -> None: @@ -80,9 +86,7 @@ class ICUTokenizer(AbstractTokenizer): """ Do any required postprocessing to make the tokenizer data ready for use. """ - with connect(self.dsn) as conn: - sqlp = SQLPreprocessor(conn, config) - sqlp.run_sql_file(conn, 'tokenizer/legacy_tokenizer_indices.sql') + self._create_lookup_indices(config, 'word') def update_sql_functions(self, config: Configuration) -> None: @@ -100,24 +104,109 @@ class ICUTokenizer(AbstractTokenizer): self.init_from_project(config) - def update_statistics(self) -> None: + def update_statistics(self, config: Configuration, threads: int = 2) -> None: """ Recompute frequencies for all name words. """ with connect(self.dsn) as conn: - if conn.table_exists('search_name'): - with conn.cursor() as cur: - cur.drop_table("word_frequencies") - LOG.info("Computing word frequencies") + if not conn.table_exists('search_name'): + return + + with conn.cursor() as cur: + cur.execute('ANALYSE search_name') + if threads > 1: + cur.execute('SET max_parallel_workers_per_gather TO %s', + (min(threads, 6),)) + + if conn.server_version_tuple() < (12, 0): + LOG.info('Computing word frequencies') + cur.drop_table('word_frequencies') + cur.drop_table('addressword_frequencies') cur.execute("""CREATE TEMP TABLE word_frequencies AS SELECT unnest(name_vector) as id, count(*) FROM search_name GROUP BY id""") - cur.execute("CREATE INDEX ON word_frequencies(id)") - LOG.info("Update word table with recomputed frequencies") - cur.execute("""UPDATE word - SET info = info || jsonb_build_object('count', count) - FROM word_frequencies WHERE word_id = id""") - cur.drop_table("word_frequencies") + cur.execute('CREATE INDEX ON word_frequencies(id)') + cur.execute("""CREATE TEMP TABLE addressword_frequencies AS + SELECT unnest(nameaddress_vector) as id, count(*) + FROM search_name GROUP BY id""") + cur.execute('CREATE INDEX ON addressword_frequencies(id)') + cur.execute("""CREATE OR REPLACE FUNCTION word_freq_update(wid INTEGER, + INOUT info JSONB) + AS $$ + DECLARE rec RECORD; + BEGIN + IF info is null THEN + info = '{}'::jsonb; + END IF; + FOR rec IN SELECT count FROM word_frequencies WHERE id = wid + LOOP + info = info || jsonb_build_object('count', rec.count); + END LOOP; + FOR rec IN SELECT count FROM addressword_frequencies WHERE id = wid + LOOP + info = info || jsonb_build_object('addr_count', rec.count); + END LOOP; + IF info = '{}'::jsonb THEN + info = null; + END IF; + END; + $$ LANGUAGE plpgsql IMMUTABLE; + """) + LOG.info('Update word table with recomputed frequencies') + cur.drop_table('tmp_word') + cur.execute("""CREATE TABLE tmp_word AS + SELECT word_id, word_token, type, word, + word_freq_update(word_id, info) as info + FROM word + """) + cur.drop_table('word_frequencies') + cur.drop_table('addressword_frequencies') + else: + LOG.info('Computing word frequencies') + cur.drop_table('word_frequencies') + cur.execute('ANALYSE search_name') + cur.execute('ANALYSE word') + cur.execute(""" + CREATE TEMP TABLE word_frequencies AS + WITH word_freq AS MATERIALIZED ( + SELECT unnest(name_vector) as id, count(*) + FROM search_name GROUP BY id), + addr_freq AS MATERIALIZED ( + SELECT unnest(nameaddress_vector) as id, count(*) + FROM search_name GROUP BY id) + SELECT coalesce(a.id, w.id) as id, + (CASE WHEN w.count is null THEN '{}'::JSONB + ELSE jsonb_build_object('count', w.count) END + || + CASE WHEN a.count is null THEN '{}'::JSONB + ELSE jsonb_build_object('addr_count', a.count) END) as info + FROM word_freq w FULL JOIN addr_freq a ON a.id = w.id; + """) + cur.execute('CREATE UNIQUE INDEX ON word_frequencies(id) INCLUDE(info)') + cur.execute('ANALYSE word_frequencies') + LOG.info('Update word table with recomputed frequencies') + cur.drop_table('tmp_word') + cur.execute("""CREATE TABLE tmp_word AS + SELECT word_id, word_token, type, word, + (CASE WHEN wf.info is null THEN word.info + ELSE coalesce(word.info, '{}'::jsonb) || wf.info + END) as info + FROM word LEFT JOIN word_frequencies wf + ON word.word_id = wf.id + ORDER BY word_id + """) + cur.drop_table('word_frequencies') + + with conn.cursor() as cur: + cur.execute('SET max_parallel_workers_per_gather TO 0') + + sqlp = SQLPreprocessor(conn, config) + sqlp.run_string(conn, + 'GRANT SELECT ON tmp_word TO "{{config.DATABASE_WEBUSER}}"') conn.commit() + self._create_base_indices(config, 'tmp_word') + self._create_lookup_indices(config, 'tmp_word') + self._move_temporary_word_table('tmp_word') + def _cleanup_housenumbers(self) -> None: @@ -183,19 +272,32 @@ class ICUTokenizer(AbstractTokenizer): self.loader.make_token_analysis()) - def _install_php(self, phpdir: Path, overwrite: bool = True) -> None: + def most_frequent_words(self, conn: Connection, num: int) -> List[str]: + """ Return a list of the `num` most frequent full words + in the database. + """ + with conn.cursor() as cur: + cur.execute("""SELECT word, sum((info->>'count')::int) as count + FROM word WHERE type = 'W' + GROUP BY word + ORDER BY count DESC LIMIT %s""", (num,)) + return list(s[0].split('@')[0] for s in cur) + + + def _install_php(self, phpdir: Optional[Path], overwrite: bool = True) -> None: """ Install the php script for the tokenizer. """ - assert self.loader is not None - php_file = self.data_dir / "tokenizer.php" + if phpdir is not None: + assert self.loader is not None + php_file = self.data_dir / "tokenizer.php" - if not php_file.exists() or overwrite: - php_file.write_text(dedent(f"""\ - None: @@ -207,16 +309,84 @@ class ICUTokenizer(AbstractTokenizer): self.loader.save_config_to_db(conn) - def _init_db_tables(self, config: Configuration) -> None: + def _setup_db_tables(self, config: Configuration) -> None: + """ Set up the word table and fill it with pre-computed word + frequencies. + """ + with connect(self.dsn) as conn: + with conn.cursor() as cur: + cur.drop_table('word') + sqlp = SQLPreprocessor(conn, config) + sqlp.run_string(conn, """ + CREATE TABLE word ( + word_id INTEGER, + word_token text NOT NULL, + type text NOT NULL, + word text, + info jsonb + ) {{db.tablespace.search_data}}; + GRANT SELECT ON word TO "{{config.DATABASE_WEBUSER}}"; + + DROP SEQUENCE IF EXISTS seq_word; + CREATE SEQUENCE seq_word start 1; + GRANT SELECT ON seq_word to "{{config.DATABASE_WEBUSER}}"; + """) + conn.commit() + + + def _create_base_indices(self, config: Configuration, table_name: str) -> None: """ Set up the word table and fill it with pre-computed word frequencies. """ with connect(self.dsn) as conn: sqlp = SQLPreprocessor(conn, config) - sqlp.run_sql_file(conn, 'tokenizer/icu_tokenizer_tables.sql') + sqlp.run_string(conn, + """CREATE INDEX idx_{{table_name}}_word_token ON {{table_name}} + USING BTREE (word_token) {{db.tablespace.search_index}}""", + table_name=table_name) + for name, ctype in WORD_TYPES: + sqlp.run_string(conn, + """CREATE INDEX idx_{{table_name}}_{{idx_name}} ON {{table_name}} + USING BTREE (word) {{db.tablespace.address_index}} + WHERE type = '{{column_type}}' + """, + table_name=table_name, idx_name=name, + column_type=ctype) conn.commit() + def _create_lookup_indices(self, config: Configuration, table_name: str) -> None: + """ Create additional indexes used when running the API. + """ + with connect(self.dsn) as conn: + sqlp = SQLPreprocessor(conn, config) + # Index required for details lookup. + sqlp.run_string(conn, """ + CREATE INDEX IF NOT EXISTS idx_{{table_name}}_word_id + ON {{table_name}} USING BTREE (word_id) {{db.tablespace.search_index}} + """, + table_name=table_name) + conn.commit() + + + def _move_temporary_word_table(self, old: str) -> None: + """ Rename all tables and indexes used by the tokenizer. + """ + with connect(self.dsn) as conn: + with conn.cursor() as cur: + cur.drop_table('word') + cur.execute(f"ALTER TABLE {old} RENAME TO word") + for idx in ('word_token', 'word_id'): + cur.execute(f"""ALTER INDEX idx_{old}_{idx} + RENAME TO idx_word_{idx}""") + for name, _ in WORD_TYPES: + cur.execute(f"""ALTER INDEX idx_{old}_{name} + RENAME TO idx_word_{name}""") + conn.commit() + + + + class ICUNameAnalyzer(AbstractAnalyzer): """ The ICU analyzer uses the ICU library for splitting names.