-#! /usr/bin/env python
+#! /usr/bin/env python3
#-----------------------------------------------------------------------------
# nominatim - [description]
#-----------------------------------------------------------------------------
import re
import getpass
from datetime import datetime
-import psycopg2
-from psycopg2.extras import wait_select
-import threading
-from queue import Queue
-
-log = logging.getLogger()
-
-def make_connection(options, asynchronous=False):
- return psycopg2.connect(dbname=options.dbname, user=options.user,
- password=options.password, host=options.host,
- port=options.port, async_=asynchronous)
-
-class IndexingThread(threading.Thread):
-
- def __init__(self, queue, barrier, options):
- super().__init__()
- self.conn = make_connection(options)
- self.conn.autocommit = True
-
- self.cursor = self.conn.cursor()
- self.perform("SET lc_messages TO 'C'")
- self.perform(InterpolationRunner.prepare())
- self.perform(RankRunner.prepare())
- self.queue = queue
- self.barrier = barrier
-
- def run(self):
- sql = None
- while True:
- item = self.queue.get()
- if item is None:
- break
- elif isinstance(item, str):
- sql = item
- self.barrier.wait()
- else:
- self.perform(sql, (item,))
-
- def perform(self, sql, args=None):
- while True:
- try:
- self.cursor.execute(sql, args)
- return
- except psycopg2.extensions.TransactionRollbackError as e:
- if e.pgcode is None:
- raise RuntimeError("Postgres exception has no error code")
- if e.pgcode == '40P01':
- log.info("Deadlock detected, retry.")
- else:
- raise
+import select
+from indexer.progress import ProgressLogger
+from indexer.db import DBConnection, make_connection
+log = logging.getLogger()
-class Indexer(object):
+class RankRunner(object):
+ """ Returns SQL commands for indexing one rank within the placex table.
+ """
- def __init__(self, options):
- self.options = options
- self.conn = make_connection(options)
+ def __init__(self, rank):
+ self.rank = rank
- self.threads = []
- self.queue = Queue(maxsize=1000)
- self.barrier = threading.Barrier(options.threads + 1)
- for i in range(options.threads):
- t = IndexingThread(self.queue, self.barrier, options)
- self.threads.append(t)
- t.start()
+ def name(self):
+ return "rank {}".format(self.rank)
- def run(self):
- log.info("Starting indexing rank ({} to {}) using {} threads".format(
- self.options.minrank, self.options.maxrank,
- self.options.threads))
+ def sql_count_objects(self):
+ return """SELECT count(*) FROM placex
+ WHERE rank_address = {} and indexed_status > 0
+ """.format(self.rank)
- for rank in range(self.options.minrank, 30):
- self.index(RankRunner(rank))
+ def sql_get_objects(self):
+ return """SELECT place_id FROM placex
+ WHERE indexed_status > 0 and rank_address = {}
+ ORDER BY geometry_sector""".format(self.rank)
- if self.options.maxrank >= 30:
- self.index(InterpolationRunner())
- self.index(RankRunner(30))
+ def sql_index_place(self, ids):
+ return "UPDATE placex SET indexed_status = 0 WHERE place_id IN ({})"\
+ .format(','.join((str(i) for i in ids)))
- self.queue_all(None)
- for t in self.threads:
- t.join()
- def queue_all(self, item):
- for t in self.threads:
- self.queue.put(item)
+class InterpolationRunner(object):
+ """ Returns SQL commands for indexing the address interpolation table
+ location_property_osmline.
+ """
- def index(self, obj):
- log.info("Starting {}".format(obj.name()))
+ def name(self):
+ return "interpolation lines (location_property_osmline)"
- self.queue_all(obj.sql_index_place())
- self.barrier.wait()
+ def sql_count_objects(self):
+ return """SELECT count(*) FROM location_property_osmline
+ WHERE indexed_status > 0"""
- cur = self.conn.cursor(name="main")
- cur.execute(obj.sql_index_sectors())
+ def sql_get_objects(self):
+ return """SELECT place_id FROM location_property_osmline
+ WHERE indexed_status > 0
+ ORDER BY geometry_sector"""
- total_tuples = 0
- for r in cur:
- total_tuples += r[1]
- log.debug("Total number of rows; {}".format(total_tuples))
+ def sql_index_place(self, ids):
+ return """UPDATE location_property_osmline
+ SET indexed_status = 0 WHERE place_id IN ({})"""\
+ .format(','.join((str(i) for i in ids)))
- cur.scroll(0, mode='absolute')
+class BoundaryRunner(object):
+ """ Returns SQL commands for indexing the administrative boundaries
+ of a certain rank.
+ """
- done_tuples = 0
- rank_start_time = datetime.now()
- for r in cur:
- sector = r[0]
+ def __init__(self, rank):
+ self.rank = rank
- # Should we do the remaining ones together?
- do_all = total_tuples - done_tuples < len(self.threads) * 1000
+ def name(self):
+ return "boundaries rank {}".format(self.rank)
- pcur = self.conn.cursor(name='places')
+ def sql_count_objects(self):
+ return """SELECT count(*) FROM placex
+ WHERE indexed_status > 0
+ AND rank_search = {}
+ AND class = 'boundary' and type = 'administrative'""".format(self.rank)
- if do_all:
- pcur.execute(obj.sql_nosector_places())
- else:
- pcur.execute(obj.sql_sector_places(), (sector, ))
+ def sql_get_objects(self):
+ return """SELECT place_id FROM placex
+ WHERE indexed_status > 0 and rank_search = {}
+ and class = 'boundary' and type = 'administrative'
+ ORDER BY partition, admin_level""".format(self.rank)
- for place in pcur:
- place_id = place[0]
- log.debug("Processing place {}".format(place_id))
+ def sql_index_place(self, ids):
+ return "UPDATE placex SET indexed_status = 0 WHERE place_id IN ({})"\
+ .format(','.join((str(i) for i in ids)))
- self.queue.put(place_id)
- done_tuples += 1
+class Indexer(object):
+ """ Main indexing routine.
+ """
- pcur.close()
+ def __init__(self, options):
+ self.minrank = max(1, options.minrank)
+ self.maxrank = min(30, options.maxrank)
+ self.conn = make_connection(options)
+ self.threads = [DBConnection(options) for i in range(options.threads)]
- if do_all:
- break
+ def index_boundaries(self):
+ log.warning("Starting indexing boundaries using {} threads".format(
+ len(self.threads)))
- cur.close()
+ for rank in range(max(self.minrank, 5), min(self.maxrank, 26)):
+ self.index(BoundaryRunner(rank))
- self.queue_all("")
- self.barrier.wait()
+ def index_by_rank(self):
+ """ Run classic indexing by rank.
+ """
+ log.warning("Starting indexing rank ({} to {}) using {} threads".format(
+ self.minrank, self.maxrank, len(self.threads)))
- rank_end_time = datetime.now()
- diff_seconds = (rank_end_time-rank_start_time).total_seconds()
+ for rank in range(max(1, self.minrank), self.maxrank):
+ self.index(RankRunner(rank))
- log.info("Done {} in {} @ {} per second - FINISHED {}\n".format(
- done_tuples, int(diff_seconds),
- done_tuples/diff_seconds, obj.name()))
+ if self.maxrank == 30:
+ self.index(RankRunner(0))
+ self.index(InterpolationRunner(), 20)
-class RankRunner(object):
+ self.index(RankRunner(self.maxrank), 20)
- def __init__(self, rank):
- self.rank = rank
+ def index(self, obj, batch=1):
+ """ Index a single rank or table. `obj` describes the SQL to use
+ for indexing. `batch` describes the number of objects that
+ should be processed with a single SQL statement
+ """
+ log.warning("Starting {}".format(obj.name()))
- def name(self):
- return "rank {}".format(self.rank)
+ cur = self.conn.cursor()
+ cur.execute(obj.sql_count_objects())
- @classmethod
- def prepare(cls):
- return """PREPARE rnk_index AS
- UPDATE placex
- SET indexed_status = 0 WHERE place_id = $1"""
+ total_tuples = cur.fetchone()[0]
+ log.debug("Total number of rows: {}".format(total_tuples))
- def sql_index_sectors(self):
- return """SELECT geometry_sector, count(*) FROM placex
- WHERE rank_search = {} and indexed_status > 0
- GROUP BY geometry_sector
- ORDER BY geometry_sector""".format(self.rank)
+ cur.close()
- def sql_nosector_places(self):
- return """SELECT place_id FROM placex
- WHERE indexed_status > 0 and rank_search = {}
- ORDER BY geometry_sector""".format(self.rank)
+ progress = ProgressLogger(obj.name(), total_tuples)
- def sql_sector_places(self):
- return """SELECT place_id FROM placex
- WHERE indexed_status > 0 and geometry_sector = %s
- ORDER BY geometry_sector"""
+ if total_tuples > 0:
+ cur = self.conn.cursor(name='places')
+ cur.execute(obj.sql_get_objects())
- def sql_index_place(self):
- return "EXECUTE rnk_index(%s)"
+ next_thread = self.find_free_thread()
+ while True:
+ places = [p[0] for p in cur.fetchmany(batch)]
+ if len(places) == 0:
+ break
+ log.debug("Processing places: {}".format(places))
+ thread = next(next_thread)
-class InterpolationRunner(object):
+ thread.perform(obj.sql_index_place(places))
+ progress.add(len(places))
- def name(self):
- return "interpolation lines (location_property_osmline)"
+ cur.close()
- @classmethod
- def prepare(cls):
- return """PREPARE ipl_index AS
- UPDATE location_property_osmline
- SET indexed_status = 0 WHERE place_id = $1"""
+ for t in self.threads:
+ t.wait()
- def sql_index_sectors(self):
- return """SELECT geometry_sector, count(*) FROM location_property_osmline
- WHERE indexed_status > 0
- GROUP BY geometry_sector
- ORDER BY geometry_sector"""
+ progress.done()
- def sql_nosector_places(self):
- return """SELECT place_id FROM location_property_osmline
- WHERE indexed_status > 0
- ORDER BY geometry_sector"""
+ def find_free_thread(self):
+ """ Generator that returns the next connection that is free for
+ sending a query.
+ """
+ ready = self.threads
+ command_stat = 0
- def sql_sector_places(self):
- return """SELECT place_id FROM location_property_osmline
- WHERE indexed_status > 0 and geometry_sector = %s
- ORDER BY geometry_sector"""
+ while True:
+ for thread in ready:
+ if thread.is_done():
+ command_stat += 1
+ yield thread
+
+ # refresh the connections occasionaly to avoid potential
+ # memory leaks in Postgresql.
+ if command_stat > 100000:
+ for t in self.threads:
+ while not t.is_done():
+ t.wait()
+ t.connect()
+ command_stat = 0
+ ready = self.threads
+ else:
+ ready, _, _ = select.select(self.threads, [], [])
- def sql_index_place(self):
- return "EXECUTE ipl_index(%s)"
+ assert False, "Unreachable code"
def nominatim_arg_parser():
def h(s):
return re.sub("\s\s+" , " ", s)
- p = ArgumentParser(description=__doc__,
+ p = ArgumentParser(description="Indexing tool for Nominatim.",
formatter_class=RawDescriptionHelpFormatter)
p.add_argument('-d', '--database',
p.add_argument('-P', '--port',
dest='port', action='store',
help='PostgreSQL server port')
+ p.add_argument('-b', '--boundary-only',
+ dest='boundary_only', action='store_true',
+ help='Only index administrative boundaries (ignores min/maxrank).')
p.add_argument('-r', '--minrank',
dest='minrank', type=int, metavar='RANK', default=0,
help='Minimum/starting rank.')
password = getpass.getpass("Database password: ")
options.password = password
- Indexer(options).run()
+ if options.boundary_only:
+ Indexer(options).index_boundaries()
+ else:
+ Indexer(options).index_by_rank()
projects / nominatim.git / blobdiff