"""
import logging
import select
+import time
import psycopg2.extras
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")
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)
+ fetcher = DBConnection(self.dsn, cursor_factory=psycopg2.extras.DictCursor)
psycopg2.extras.register_hstore(fetcher.conn,
oid=hstore_oid,
array_oid=hstore_array_oid)
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()
# asynchronously get the next batch
# 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)
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(1000)
+ ids = cur.fetchmany(100)
if not ids:
return None