Hello list
I have a question about how QGIS (specifically the pgRouting Layer plugin) uses
psycopg2 and a connection to PostgreSQL to run a query and return a result.
I am using pgRouting with Ordnance Survey's Open Roads network for the UK. It
is a large network with over 3 million links and 2.6 million nodes. Using the
pgRouting Layer plugin in QGIS 2.6.1 and 2.8.2 to interact with the network.
It is really slow to solve routes ~ 1m20s per solution. I am also using
PgAdmin3 to run the same queries against the same network and they are also
slow (~1m20s) but I can speed them up using a bounding box in the query (in
some cases by 400x!). In the pgRouting Layer plugin I have updated the
djikstra.py file to use the query with a bounding box but the result is still
returned in ~ 1m20s. Running the same query in the SQL pane in DB Manager
returns the result in ~ 100ms.
So, I guess the question is "Is psycopg2 (or python) the bottleneck in running
queries in the pgRouting Layer plugin?" and maybe a secondary question is "how
does DB Manager connect to the database and run the query so quickly?"
The queries
Without bounding box ~ 1m20s
SELECT seq, id1 AS node, id2 AS edge, cost FROM pgr_dijkstra('
SELECT gid AS id,
source::integer,
target::integer,
cost_len::double precision AS cost,
rcost_len::double precision AS reverse_cost
FROM or_network',
1190869, 586365, false, true);
With a bounding box ~ 200ms
SELECT seq, id1 AS node, id2 AS edge, cost FROM pgr_dijkstra('
SELECT gid AS id,
source::integer,
target::integer,
cost_len::double precision AS cost,
rcost_len::double precision AS reverse_cost
FROM or_network
WHERE geometry && ST_Expand(
(SELECT ST_Collect(the_geom) FROM
or_network_vertices_pgr WHERE id IN (1190869, 586365)),2000)',
1190869, 586365, false, true);
Thanks in advance
Ross
Ross McDonald | GIS Data Coordinator | Resources Department, IT Division |
Angus Council, Angus House, Orchardbank Business Park, Forfar, DD8 1AT
T: 01307 476419 | F: 01307 476401 | E:
[email protected]<mailto:[email protected]>
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