forked from hans/Nominatim
indexer: fetch ids in batches
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@@ -183,6 +183,9 @@ class Indexer:
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total_tuples = cur.scalar(runner.sql_count_objects())
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LOG.debug("Total number of rows: %i", total_tuples)
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hstore_oid = cur.scalar("SELECT 'hstore'::regtype::oid")
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hstore_array_oid = cur.scalar("SELECT 'hstore[]'::regtype::oid")
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conn.commit()
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progress = ProgressLogger(runner.name(), total_tuples)
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@@ -191,20 +194,49 @@ class Indexer:
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with conn.cursor(name='places') as cur:
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cur.execute(runner.sql_get_objects())
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fetcher = DBConnection(self.dsn)
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psycopg2.extras.register_hstore(fetcher.conn,
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oid=hstore_oid,
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array_oid=hstore_array_oid)
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with WorkerPool(self.dsn, self.num_threads) as pool:
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while True:
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places = cur.fetchmany(batch)
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places = self._fetch_next_batch(cur, fetcher, runner)
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while places is not None:
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if not places:
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break
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fetcher.wait()
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places = fetcher.cursor.fetchall()
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LOG.debug("Processing places: %s", str(places))
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worker = pool.next_free_worker()
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# asynchronously get the next batch
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next_places = self._fetch_next_batch(cur, fetcher, runner)
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runner.index_places(worker, places)
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progress.add(len(places))
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# And insert the curent batch
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for idx in range(0, len(places), batch):
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worker = pool.next_free_worker()
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part = places[idx:idx+batch]
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LOG.debug("Processing places: %s", str(part))
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runner.index_places(worker, part)
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progress.add(len(part))
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places = next_places
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pool.finish_all()
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fetcher.wait()
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fetcher.close()
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conn.commit()
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progress.done()
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def _fetch_next_batch(self, cur, fetcher, runner):
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ids = cur.fetchmany(1000)
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if not ids:
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return None
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if not hasattr(runner, 'get_place_details'):
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return ids
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runner.get_place_details(fetcher, ids)
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return []
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