mirror of
https://github.com/osm-search/Nominatim.git
synced 2026-03-13 22:34:07 +00:00
move indexing function into its own Python module
This makes it mow a standard function of our new Python library instead of a stand-alone program.
This commit is contained in:
Sarah Hoffmann
@@ -1,116 +0,0 @@
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# SPDX-License-Identifier: GPL-2.0-only
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#
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# This file is part of Nominatim.
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# Copyright (C) 2021 by the Nominatim developer community.
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# For a full list of authors see the git log.
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""" Database helper functions for the indexer.
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"""
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import logging
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import psycopg2
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from psycopg2.extras import wait_select
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LOG = logging.getLogger()
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def make_connection(options, asynchronous=False):
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""" Create a psycopg2 connection from the given options.
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"""
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params = {'dbname' : options.dbname,
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'user' : options.user,
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'password' : options.password,
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'host' : options.host,
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'port' : options.port,
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'async' : asynchronous}
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return psycopg2.connect(**params)
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class DBConnection:
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""" A single non-blocking database connection.
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"""
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def __init__(self, options):
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self.current_query = None
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self.current_params = None
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self.options = options
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self.conn = None
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self.cursor = None
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self.connect()
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def connect(self):
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""" (Re)connect to the database. Creates an asynchronous connection
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with JIT and parallel processing disabled. If a connection was
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already open, it is closed and a new connection established.
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The caller must ensure that no query is pending before reconnecting.
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"""
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if self.conn is not None:
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self.cursor.close()
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self.conn.close()
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self.conn = make_connection(self.options, asynchronous=True)
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self.wait()
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self.cursor = self.conn.cursor()
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# Disable JIT and parallel workers as they are known to cause problems.
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# Update pg_settings instead of using SET because it does not yield
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# errors on older versions of Postgres where the settings are not
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# implemented.
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self.perform(
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""" UPDATE pg_settings SET setting = -1 WHERE name = 'jit_above_cost';
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UPDATE pg_settings SET setting = 0
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WHERE name = 'max_parallel_workers_per_gather';""")
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self.wait()
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def wait(self):
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""" Block until any pending operation is done.
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"""
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while True:
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try:
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wait_select(self.conn)
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self.current_query = None
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return
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except psycopg2.extensions.TransactionRollbackError as error:
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if error.pgcode == '40P01':
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LOG.info("Deadlock detected (params = %s), retry.",
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str(self.current_params))
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self.cursor.execute(self.current_query, self.current_params)
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else:
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raise
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except psycopg2.errors.DeadlockDetected: # pylint: disable=E1101
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self.cursor.execute(self.current_query, self.current_params)
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def perform(self, sql, args=None):
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""" Send SQL query to the server. Returns immediately without
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blocking.
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"""
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self.current_query = sql
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self.current_params = args
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self.cursor.execute(sql, args)
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def fileno(self):
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""" File descriptor to wait for. (Makes this class select()able.)
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"""
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return self.conn.fileno()
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def is_done(self):
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""" Check if the connection is available for a new query.
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Also checks if the previous query has run into a deadlock.
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If so, then the previous query is repeated.
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"""
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if self.current_query is None:
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return True
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try:
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if self.conn.poll() == psycopg2.extensions.POLL_OK:
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self.current_query = None
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return True
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except psycopg2.extensions.TransactionRollbackError as error:
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if error.pgcode == '40P01':
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LOG.info("Deadlock detected (params = %s), retry.", str(self.current_params))
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self.cursor.execute(self.current_query, self.current_params)
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else:
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raise
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except psycopg2.errors.DeadlockDetected: # pylint: disable=E1101
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self.cursor.execute(self.current_query, self.current_params)
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return False
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191
nominatim/indexer/indexer.py
Normal file
191
nominatim/indexer/indexer.py
Normal file
@@ -0,0 +1,191 @@
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"""
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Main work horse for indexing (computing addresses) the database.
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"""
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# pylint: disable=C0111
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import logging
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import select
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from .progress import ProgressLogger
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from db.async_connection import DBConnection, make_connection
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LOG = logging.getLogger()
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class RankRunner:
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""" Returns SQL commands for indexing one rank within the placex table.
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"""
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def __init__(self, rank):
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self.rank = rank
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def name(self):
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return "rank {}".format(self.rank)
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def sql_count_objects(self):
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return """SELECT count(*) FROM placex
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WHERE rank_address = {} and indexed_status > 0
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""".format(self.rank)
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def sql_get_objects(self):
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return """SELECT place_id FROM placex
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WHERE indexed_status > 0 and rank_address = {}
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ORDER BY geometry_sector""".format(self.rank)
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@staticmethod
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def sql_index_place(ids):
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return "UPDATE placex SET indexed_status = 0 WHERE place_id IN ({})"\
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.format(','.join((str(i) for i in ids)))
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class InterpolationRunner:
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""" Returns SQL commands for indexing the address interpolation table
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location_property_osmline.
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"""
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@staticmethod
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def name():
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return "interpolation lines (location_property_osmline)"
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@staticmethod
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def sql_count_objects():
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return """SELECT count(*) FROM location_property_osmline
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WHERE indexed_status > 0"""
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@staticmethod
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def sql_get_objects():
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return """SELECT place_id FROM location_property_osmline
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WHERE indexed_status > 0
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ORDER BY geometry_sector"""
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@staticmethod
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def sql_index_place(ids):
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return """UPDATE location_property_osmline
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SET indexed_status = 0 WHERE place_id IN ({})"""\
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.format(','.join((str(i) for i in ids)))
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class BoundaryRunner:
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""" Returns SQL commands for indexing the administrative boundaries
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of a certain rank.
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"""
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def __init__(self, rank):
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self.rank = rank
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def name(self):
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return "boundaries rank {}".format(self.rank)
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def sql_count_objects(self):
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return """SELECT count(*) FROM placex
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WHERE indexed_status > 0
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AND rank_search = {}
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AND class = 'boundary' and type = 'administrative'""".format(self.rank)
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def sql_get_objects(self):
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return """SELECT place_id FROM placex
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WHERE indexed_status > 0 and rank_search = {}
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and class = 'boundary' and type = 'administrative'
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ORDER BY partition, admin_level""".format(self.rank)
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@staticmethod
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def sql_index_place(ids):
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return "UPDATE placex SET indexed_status = 0 WHERE place_id IN ({})"\
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.format(','.join((str(i) for i in ids)))
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class Indexer:
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""" Main indexing routine.
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"""
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def __init__(self, opts):
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self.minrank = max(1, opts.minrank)
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self.maxrank = min(30, opts.maxrank)
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self.conn = make_connection(opts)
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self.threads = [DBConnection(opts) for _ in range(opts.threads)]
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def index_boundaries(self):
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LOG.warning("Starting indexing boundaries using %s threads",
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len(self.threads))
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for rank in range(max(self.minrank, 5), min(self.maxrank, 26)):
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self.index(BoundaryRunner(rank))
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def index_by_rank(self):
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""" Run classic indexing by rank.
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"""
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LOG.warning("Starting indexing rank (%i to %i) using %i threads",
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self.minrank, self.maxrank, len(self.threads))
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for rank in range(max(1, self.minrank), self.maxrank):
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self.index(RankRunner(rank))
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if self.maxrank == 30:
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self.index(RankRunner(0))
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self.index(InterpolationRunner(), 20)
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self.index(RankRunner(self.maxrank), 20)
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else:
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self.index(RankRunner(self.maxrank))
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def index(self, obj, batch=1):
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""" Index a single rank or table. `obj` describes the SQL to use
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for indexing. `batch` describes the number of objects that
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should be processed with a single SQL statement
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"""
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LOG.warning("Starting %s (using batch size %s)", obj.name(), batch)
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cur = self.conn.cursor()
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cur.execute(obj.sql_count_objects())
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total_tuples = cur.fetchone()[0]
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LOG.debug("Total number of rows: %i", total_tuples)
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cur.close()
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progress = ProgressLogger(obj.name(), total_tuples)
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if total_tuples > 0:
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cur = self.conn.cursor(name='places')
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cur.execute(obj.sql_get_objects())
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next_thread = self.find_free_thread()
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while True:
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places = [p[0] for p in cur.fetchmany(batch)]
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if not places:
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break
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LOG.debug("Processing places: %s", str(places))
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thread = next(next_thread)
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thread.perform(obj.sql_index_place(places))
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progress.add(len(places))
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cur.close()
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for thread in self.threads:
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thread.wait()
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progress.done()
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def find_free_thread(self):
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""" Generator that returns the next connection that is free for
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sending a query.
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"""
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ready = self.threads
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command_stat = 0
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while True:
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for thread in ready:
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if thread.is_done():
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command_stat += 1
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yield thread
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# refresh the connections occasionaly to avoid potential
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# memory leaks in Postgresql.
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if command_stat > 100000:
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for thread in self.threads:
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while not thread.is_done():
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thread.wait()
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thread.connect()
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command_stat = 0
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ready = self.threads
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else:
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ready, _, _ = select.select(self.threads, [], [])
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assert False, "Unreachable code"
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