mirror of
https://github.com/osm-search/Nominatim.git
synced 2024-11-23 21:54:10 +03:00
d1eeaa59a6
The _async parameter name is only supported since psycopg 2.7. However, async is a keyword in Python >= 3.7, so using this gives us a syntax error. Working around this by defining the parameters in a dict and handing that into the connect function.
362 lines
12 KiB
Python
Executable File
362 lines
12 KiB
Python
Executable File
#! /usr/bin/env python3
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#-----------------------------------------------------------------------------
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# nominatim - [description]
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#-----------------------------------------------------------------------------
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#
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# Indexing tool for the Nominatim database.
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#
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# Based on C version by Brian Quinion
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#
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# This program is free software; you can redistribute it and/or
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# modify it under the terms of the GNU General Public License
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# as published by the Free Software Foundation; either version 2
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# of the License, or (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License
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# along with this program; if not, write to the Free Software
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# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301, USA.
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#-----------------------------------------------------------------------------
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from argparse import ArgumentParser, RawDescriptionHelpFormatter, ArgumentTypeError
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import logging
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import sys
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import re
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import getpass
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from datetime import datetime
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import psycopg2
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from psycopg2.extras import wait_select
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import select
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log = logging.getLogger()
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def make_connection(options, asynchronous=False):
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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 RankRunner(object):
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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_index_sectors(self):
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return """SELECT geometry_sector, count(*) FROM placex
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WHERE rank_search = {} and indexed_status > 0
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GROUP BY geometry_sector
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ORDER BY geometry_sector""".format(self.rank)
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def sql_nosector_places(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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ORDER BY geometry_sector""".format(self.rank)
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def sql_sector_places(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 geometry_sector = %s""".format(self.rank)
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def sql_index_place(self):
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return "UPDATE placex SET indexed_status = 0 WHERE place_id = %s"
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class InterpolationRunner(object):
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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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def name(self):
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return "interpolation lines (location_property_osmline)"
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def sql_index_sectors(self):
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return """SELECT geometry_sector, count(*) FROM location_property_osmline
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WHERE indexed_status > 0
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GROUP BY geometry_sector
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ORDER BY geometry_sector"""
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def sql_nosector_places(self):
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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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def sql_sector_places(self):
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return """SELECT place_id FROM location_property_osmline
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WHERE indexed_status > 0 and geometry_sector = %s
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ORDER BY geometry_sector"""
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def sql_index_place(self):
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return """UPDATE location_property_osmline
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SET indexed_status = 0 WHERE place_id = %s"""
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class DBConnection(object):
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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.conn = None
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self.connect()
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def connect(self):
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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(options, asynchronous=True)
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self.wait()
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self.cursor = self.conn.cursor()
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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 e:
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if e.pgcode == '40P01':
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log.info("Deadlock detected (params = {}), retry."
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.format(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:
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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 e:
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if e.pgcode == '40P01':
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log.info("Deadlock detected (params = {}), retry.".format(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:
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self.cursor.execute(self.current_query, self.current_params)
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return False
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class Indexer(object):
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""" Main indexing routine.
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"""
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def __init__(self, options):
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self.minrank = max(0, options.minrank)
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self.maxrank = min(30, options.maxrank)
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self.conn = make_connection(options)
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self.threads = [DBConnection(options) for i in range(options.threads)]
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def run(self):
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""" Run indexing over the entire database.
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"""
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log.warning("Starting indexing rank ({} to {}) using {} threads".format(
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self.minrank, self.maxrank, len(self.threads)))
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for rank in range(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(InterpolationRunner())
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self.index(RankRunner(self.maxrank))
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def index(self, obj):
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""" Index a single rank or table. `obj` describes the SQL to use
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for indexing.
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"""
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log.warning("Starting {}".format(obj.name()))
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cur = self.conn.cursor(name='main')
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cur.execute(obj.sql_index_sectors())
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total_tuples = 0
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for r in cur:
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total_tuples += r[1]
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log.debug("Total number of rows; {}".format(total_tuples))
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cur.scroll(0, mode='absolute')
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next_thread = self.find_free_thread()
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done_tuples = 0
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rank_start_time = datetime.now()
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sector_sql = obj.sql_sector_places()
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index_sql = obj.sql_index_place()
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min_grouped_tuples = total_tuples - len(self.threads) * 1000
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next_info = 100 if log.isEnabledFor(logging.INFO) else total_tuples + 1
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for r in cur:
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sector = r[0]
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# Should we do the remaining ones together?
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do_all = done_tuples > min_grouped_tuples
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pcur = self.conn.cursor(name='places')
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if do_all:
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pcur.execute(obj.sql_nosector_places())
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else:
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pcur.execute(sector_sql, (sector, ))
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for place in pcur:
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place_id = place[0]
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log.debug("Processing place {}".format(place_id))
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thread = next(next_thread)
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thread.perform(index_sql, (place_id,))
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done_tuples += 1
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if done_tuples >= next_info:
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now = datetime.now()
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done_time = (now - rank_start_time).total_seconds()
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tuples_per_sec = done_tuples / done_time
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log.info("Done {} in {} @ {:.3f} per second - {} ETA (seconds): {:.2f}"
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.format(done_tuples, int(done_time),
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tuples_per_sec, obj.name(),
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(total_tuples - done_tuples)/tuples_per_sec))
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next_info += int(tuples_per_sec)
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pcur.close()
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if do_all:
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break
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cur.close()
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for t in self.threads:
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t.wait()
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rank_end_time = datetime.now()
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diff_seconds = (rank_end_time-rank_start_time).total_seconds()
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log.warning("Done {}/{} in {} @ {:.3f} per second - FINISHED {}\n".format(
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done_tuples, total_tuples, int(diff_seconds),
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done_tuples/diff_seconds, obj.name()))
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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 t in self.threads:
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while not t.is_done():
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wait_select(t.conn)
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t.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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def nominatim_arg_parser():
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""" Setup the command-line parser for the tool.
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"""
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def h(s):
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return re.sub("\s\s+" , " ", s)
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p = ArgumentParser(description="Indexing tool for Nominatim.",
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formatter_class=RawDescriptionHelpFormatter)
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p.add_argument('-d', '--database',
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dest='dbname', action='store', default='nominatim',
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help='Name of the PostgreSQL database to connect to.')
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p.add_argument('-U', '--username',
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dest='user', action='store',
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help='PostgreSQL user name.')
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p.add_argument('-W', '--password',
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dest='password_prompt', action='store_true',
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help='Force password prompt.')
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p.add_argument('-H', '--host',
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dest='host', action='store',
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help='PostgreSQL server hostname or socket location.')
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p.add_argument('-P', '--port',
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dest='port', action='store',
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help='PostgreSQL server port')
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p.add_argument('-r', '--minrank',
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dest='minrank', type=int, metavar='RANK', default=0,
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help='Minimum/starting rank.')
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p.add_argument('-R', '--maxrank',
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dest='maxrank', type=int, metavar='RANK', default=30,
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help='Maximum/finishing rank.')
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p.add_argument('-t', '--threads',
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dest='threads', type=int, metavar='NUM', default=1,
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help='Number of threads to create for indexing.')
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p.add_argument('-v', '--verbose',
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dest='loglevel', action='count', default=0,
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help='Increase verbosity')
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return p
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if __name__ == '__main__':
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logging.basicConfig(stream=sys.stderr, format='%(levelname)s: %(message)s')
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options = nominatim_arg_parser().parse_args(sys.argv[1:])
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log.setLevel(max(3 - options.loglevel, 0) * 10)
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options.password = None
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if options.password_prompt:
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password = getpass.getpass("Database password: ")
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options.password = password
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Indexer(options).run()
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