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Nominatim/nominatim/indexer/indexer.py
2021-01-20 21:30:27 +01:00

200 lines
6.1 KiB
Python

"""
Main work horse for indexing (computing addresses) the database.
"""
# pylint: disable=C0111
import logging
import select
import psycopg2
from .progress import ProgressLogger
from ..db.async_connection import DBConnection
LOG = logging.getLogger()
class RankRunner:
""" Returns SQL commands for indexing one rank within the placex table.
"""
def __init__(self, rank):
self.rank = rank
def name(self):
return "rank {}".format(self.rank)
def sql_count_objects(self):
return """SELECT count(*) FROM placex
WHERE rank_address = {} and indexed_status > 0
""".format(self.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)
@staticmethod
def sql_index_place(ids):
return "UPDATE placex SET indexed_status = 0 WHERE place_id IN ({})"\
.format(','.join((str(i) for i in ids)))
class InterpolationRunner:
""" Returns SQL commands for indexing the address interpolation table
location_property_osmline.
"""
@staticmethod
def name():
return "interpolation lines (location_property_osmline)"
@staticmethod
def sql_count_objects():
return """SELECT count(*) FROM location_property_osmline
WHERE indexed_status > 0"""
@staticmethod
def sql_get_objects():
return """SELECT place_id FROM location_property_osmline
WHERE indexed_status > 0
ORDER BY geometry_sector"""
@staticmethod
def sql_index_place(ids):
return """UPDATE location_property_osmline
SET indexed_status = 0 WHERE place_id IN ({})"""\
.format(','.join((str(i) for i in ids)))
class BoundaryRunner:
""" Returns SQL commands for indexing the administrative boundaries
of a certain rank.
"""
def __init__(self, rank):
self.rank = rank
def name(self):
return "boundaries rank {}".format(self.rank)
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)
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)
@staticmethod
def sql_index_place(ids):
return "UPDATE placex SET indexed_status = 0 WHERE place_id IN ({})"\
.format(','.join((str(i) for i in ids)))
class Indexer:
""" Main indexing routine.
"""
def __init__(self, dsn, num_threads):
self.conn = psycopg2.connect(dsn)
self.threads = [DBConnection(dsn) for _ in range(num_threads)]
def index_boundaries(self, minrank, maxrank):
LOG.warning("Starting indexing boundaries using %s threads",
len(self.threads))
for rank in range(max(minrank, 4), min(maxrank, 26)):
self.index(BoundaryRunner(rank))
def index_by_rank(self, minrank, maxrank):
""" Run classic indexing by rank.
"""
maxrank = min(maxrank, 30)
LOG.warning("Starting indexing rank (%i to %i) using %i threads",
minrank, maxrank, len(self.threads))
for rank in range(max(1, minrank), maxrank):
self.index(RankRunner(rank))
if maxrank == 30:
self.index(RankRunner(0))
self.index(InterpolationRunner(), 20)
self.index(RankRunner(30), 20)
else:
self.index(RankRunner(maxrank))
def update_status_table(self):
""" Update the status in the status table to 'indexed'.
"""
with self.conn.cursor() as cur:
cur.execute('UPDATE import_status SET indexed = true')
self.conn.commit()
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 %s (using batch size %s)", obj.name(), batch)
cur = self.conn.cursor()
cur.execute(obj.sql_count_objects())
total_tuples = cur.fetchone()[0]
LOG.debug("Total number of rows: %i", total_tuples)
cur.close()
progress = ProgressLogger(obj.name(), total_tuples)
if total_tuples > 0:
cur = self.conn.cursor(name='places')
cur.execute(obj.sql_get_objects())
next_thread = self.find_free_thread()
while True:
places = [p[0] for p in cur.fetchmany(batch)]
if not places:
break
LOG.debug("Processing places: %s", str(places))
thread = next(next_thread)
thread.perform(obj.sql_index_place(places))
progress.add(len(places))
cur.close()
for thread in self.threads:
thread.wait()
progress.done()
def find_free_thread(self):
""" Generator that returns the next connection that is free for
sending a query.
"""
ready = self.threads
command_stat = 0
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 thread in self.threads:
while not thread.is_done():
thread.wait()
thread.connect()
command_stat = 0
ready = self.threads
else:
ready, _, _ = select.select(self.threads, [], [])
assert False, "Unreachable code"