LOG = logging.getLogger()
+
+class PlaceFetcher:
+ """ Asynchronous connection that fetches place details for processing.
+ """
+ def __init__(self, dsn, setup_conn):
+ self.wait_time = 0
+ self.current_ids = None
+ self.conn = DBConnection(dsn, cursor_factory=psycopg2.extras.DictCursor)
+
+ with setup_conn.cursor() as cur:
+ # need to fetch those manually because register_hstore cannot
+ # fetch them on an asynchronous connection below.
+ hstore_oid = cur.scalar("SELECT 'hstore'::regtype::oid")
+ hstore_array_oid = cur.scalar("SELECT 'hstore[]'::regtype::oid")
+
+ psycopg2.extras.register_hstore(self.conn.conn, oid=hstore_oid,
+ array_oid=hstore_array_oid)
+
+ def close(self):
+ """ Close the underlying asynchronous connection.
+ """
+ if self.conn:
+ self.conn.close()
+ self.conn = None
+
+
+ def fetch_next_batch(self, cur, runner):
+ """ Send a request for the next batch of places.
+ If details for the places are required, they will be fetched
+ asynchronously.
+
+ Returns true if there is still data available.
+ """
+ ids = cur.fetchmany(100)
+
+ if not ids:
+ self.current_ids = None
+ return False
+
+ if hasattr(runner, 'get_place_details'):
+ runner.get_place_details(self.conn, ids)
+ self.current_ids = []
+ else:
+ self.current_ids = ids
+
+ return True
+
+ def get_batch(self):
+ """ Get the next batch of data, previously requested with
+ `fetch_next_batch`.
+ """
+ if self.current_ids is not None and not self.current_ids:
+ tstart = time.time()
+ self.conn.wait()
+ self.wait_time += time.time() - tstart
+ self.current_ids = self.conn.cursor.fetchall()
+
+ return self.current_ids
+
+ def __enter__(self):
+ return self
+
+
+ def __exit__(self, exc_type, exc_value, traceback):
+ self.conn.wait()
+ self.close()
+
class WorkerPool:
""" A pool of asynchronous database connections.
def __init__(self, dsn, pool_size):
self.threads = [DBConnection(dsn) for _ in range(pool_size)]
self.free_workers = self._yield_free_worker()
+ self.wait_time = 0
def finish_all(self):
ready = self.threads
command_stat = 0
else:
+ tstart = time.time()
_, ready, _ = select.select([], self.threads, [])
+ self.wait_time += time.time() - tstart
def __enter__(self):
def __exit__(self, exc_type, exc_value, traceback):
+ self.finish_all()
self.close()
total_tuples = cur.scalar(runner.sql_count_objects())
LOG.debug("Total number of rows: %i", total_tuples)
- # need to fetch those manually because register_hstore cannot
- # fetch them on an asynchronous connection below.
- hstore_oid = cur.scalar("SELECT 'hstore'::regtype::oid")
- hstore_array_oid = cur.scalar("SELECT 'hstore[]'::regtype::oid")
-
conn.commit()
progress = ProgressLogger(runner.name(), total_tuples)
- fetcher_wait = 0
- pool_wait = 0
-
if total_tuples > 0:
with conn.cursor(name='places') as cur:
cur.execute(runner.sql_get_objects())
- fetcher = DBConnection(self.dsn, cursor_factory=psycopg2.extras.DictCursor)
- psycopg2.extras.register_hstore(fetcher.conn,
- oid=hstore_oid,
- array_oid=hstore_array_oid)
-
- with WorkerPool(self.dsn, self.num_threads) as pool:
- places = self._fetch_next_batch(cur, fetcher, runner)
- while places is not None:
- if not places:
- t0 = time.time()
- fetcher.wait()
- fetcher_wait += time.time() - t0
- places = fetcher.cursor.fetchall()
+ with PlaceFetcher(self.dsn, conn) as fetcher:
+ with WorkerPool(self.dsn, self.num_threads) as pool:
+ has_more = fetcher.fetch_next_batch(cur, runner)
+ while has_more:
+ places = fetcher.get_batch()
- # asynchronously get the next batch
- next_places = self._fetch_next_batch(cur, fetcher, runner)
+ # asynchronously get the next batch
+ has_more = fetcher.fetch_next_batch(cur, runner)
- # And insert the curent batch
- for idx in range(0, len(places), batch):
- t0 = time.time()
- worker = pool.next_free_worker()
- pool_wait += time.time() - t0
- part = places[idx:idx+batch]
- LOG.debug("Processing places: %s", str(part))
- runner.index_places(worker, part)
- progress.add(len(part))
+ # And insert the curent batch
+ for idx in range(0, len(places), batch):
+ part = places[idx:idx+batch]
+ LOG.debug("Processing places: %s", str(part))
+ runner.index_places(pool.next_free_worker(), part)
+ progress.add(len(part))
- places = next_places
-
- pool.finish_all()
-
- fetcher.wait()
- fetcher.close()
+ LOG.info("Wait time: fetcher: %.2fs, pool: %.2fs",
+ fetcher.wait_time, pool.wait_time)
conn.commit()
progress.done()
- LOG.warning("Wait time: fetcher: {}s, pool: {}s".format(fetcher_wait, pool_wait))
-
-
- def _fetch_next_batch(self, cur, fetcher, runner):
- ids = cur.fetchmany(100)
-
- if not ids:
- return None
-
- if not hasattr(runner, 'get_place_details'):
- return ids
-
- runner.get_place_details(fetcher, ids)
- return []
""".format(','.join(["(%s, %s::hstore, %s::jsonb)"] * num_places))
- def get_place_details(self, worker, ids):
+ @staticmethod
+ def get_place_details(worker, ids):
worker.perform("""SELECT place_id, (placex_prepare_update(placex)).*
FROM placex WHERE place_id IN %s""",
(tuple((p[0] for p in ids)), ))
@staticmethod
def sql_get_objects():
- return """SELECT place_id, get_interpolation_address(address, osm_id) as address
+ return """SELECT place_id
FROM location_property_osmline
WHERE indexed_status > 0
ORDER BY geometry_sector"""
+ @staticmethod
+ def get_place_details(worker, ids):
+ worker.perform("""SELECT place_id, get_interpolation_address(address, osm_id) as address
+ FROM location_property_osmline WHERE place_id IN %s""",
+ (tuple((p[0] for p in ids)), ))
+
+
@staticmethod
@functools.lru_cache(maxsize=1)
def _index_sql(num_places):