"""
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
+from nominatim.indexer.progress import ProgressLogger
+from nominatim.indexer import runners
+from nominatim.db.async_connection import DBConnection
LOG = logging.getLogger()
-class RankRunner:
- """ Returns SQL commands for indexing one rank within the placex table.
+
+class Indexer:
+ """ Main indexing routine.
"""
- def __init__(self, rank):
- self.rank = rank
+ def __init__(self, dsn, num_threads):
+ self.dsn = dsn
+ self.num_threads = num_threads
+ self.conn = None
+ self.threads = []
- 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 _setup_connections(self):
+ self.conn = psycopg2.connect(self.dsn)
+ self.threads = [DBConnection(self.dsn) for _ in range(self.num_threads)]
- 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)))
+ def _close_connections(self):
+ if self.conn:
+ self.conn.close()
+ self.conn = None
+ for thread in self.threads:
+ thread.close()
+ self.threads = []
-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 index_full(self, analyse=True):
+ """ Index the complete database. This will first index boudnaries
+ followed by all other objects. When `analyse` is True, then the
+ database will be analysed at the appropriate places to
+ ensure that database statistics are updated.
+ """
+ with psycopg2.connect(self.dsn) as conn:
+ conn.autocommit = True
- def __init__(self, rank):
- self.rank = rank
+ if analyse:
+ def _analyse():
+ with conn.cursor() as cur:
+ cur.execute('ANALYSE')
+ else:
+ def _analyse():
+ pass
- def name(self):
- return "boundaries rank {}".format(self.rank)
+ self.index_by_rank(0, 4)
+ _analyse()
- 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)
+ self.index_boundaries(0, 30)
+ _analyse()
- 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)
+ self.index_by_rank(5, 25)
+ _analyse()
- @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)))
+ self.index_by_rank(26, 30)
+ _analyse()
-class Indexer:
- """ Main indexing routine.
- """
+ self.index_postcodes()
+ _analyse()
- 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):
+ """ Index only administrative boundaries within the given rank range.
+ """
LOG.warning("Starting indexing boundaries using %s threads",
- len(self.threads))
+ self.num_threads)
- for rank in range(max(minrank, 5), min(maxrank, 26)):
- self.index(BoundaryRunner(rank))
+ self._setup_connections()
+
+ try:
+ for rank in range(max(minrank, 4), min(maxrank, 26)):
+ self._index(runners.BoundaryRunner(rank))
+ finally:
+ self._close_connections()
def index_by_rank(self, minrank, maxrank):
- """ Run classic indexing by rank.
+ """ Index all entries of placex in the given rank range (inclusive)
+ in order of their address rank.
+
+ When rank 30 is requested then also interpolations and
+ places with address rank 0 will be indexed.
"""
maxrank = min(maxrank, 30)
LOG.warning("Starting indexing rank (%i to %i) using %i threads",
- minrank, maxrank, len(self.threads))
+ minrank, maxrank, self.num_threads)
+
+ self._setup_connections()
+
+ try:
+ for rank in range(max(1, minrank), maxrank):
+ self._index(runners.RankRunner(rank))
+
+ if maxrank == 30:
+ self._index(runners.RankRunner(0))
+ self._index(runners.InterpolationRunner(), 20)
+ self._index(runners.RankRunner(30), 20)
+ else:
+ self._index(runners.RankRunner(maxrank))
+ finally:
+ self._close_connections()
+
+
+ def index_postcodes(self):
+ """Index the entries ofthe location_postcode table.
+ """
+ LOG.warning("Starting indexing postcodes using %s threads", self.num_threads)
+
+ self._setup_connections()
+
+ try:
+ self._index(runners.PostcodeRunner(), 20)
+ finally:
+ self._close_connections()
+
+ def update_status_table(self):
+ """ Update the status in the status table to 'indexed'.
+ """
+ conn = psycopg2.connect(self.dsn)
- for rank in range(max(1, minrank), maxrank):
- self.index(RankRunner(rank))
+ try:
+ with conn.cursor() as cur:
+ cur.execute('UPDATE import_status SET indexed = true')
- if maxrank == 30:
- self.index(RankRunner(0))
- self.index(InterpolationRunner(), 20)
- self.index(RankRunner(30), 20)
- else:
- self.index(RankRunner(maxrank))
+ conn.commit()
+ finally:
+ conn.close()
- def index(self, obj, batch=1):
- """ Index a single rank or table. `obj` describes the SQL to use
+ def _index(self, runner, batch=1):
+ """ Index a single rank or table. `runner` 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)
+ LOG.warning("Starting %s (using batch size %s)", runner.name(), batch)
cur = self.conn.cursor()
- cur.execute(obj.sql_count_objects())
+ cur.execute(runner.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)
+ progress = ProgressLogger(runner.name(), total_tuples)
if total_tuples > 0:
cur = self.conn.cursor(name='places')
- cur.execute(obj.sql_get_objects())
+ cur.execute(runner.sql_get_objects())
next_thread = self.find_free_thread()
while True:
LOG.debug("Processing places: %s", str(places))
thread = next(next_thread)
- thread.perform(obj.sql_index_place(places))
+ thread.perform(runner.sql_index_place(places))
progress.add(len(places))
cur.close()
projects / nominatim.git / blobdiff