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Oct 8, 2013 at 19:42 comment added djq maybe ORDER BY rank and LIMIT 1 might help (not sure - have not tried)
Oct 8, 2013 at 19:08 comment added Matt Moehr Yes on spatial indexes. Do you mean: select * from <your query> where ranked_distance = 1; ??? Cause that doesn't help performance at all. I think the loop still has to go over all roads for each point.
Oct 8, 2013 at 18:44 comment added djq I assume you have spatial indexes on your geometry columns; did you try adding a subquery to just get the row with rank 1?
Oct 8, 2013 at 18:10 comment added Matt Moehr This "works" but the join is still too slow to really implement this as a solution in my processing flow. Relevant lines from explain are in my above comment. I guess I'm going to have to write a function that does incremental table inserts...
Oct 8, 2013 at 18:08 comment added Matt Moehr -> Nested Loop (cost=0.00..1343261576.55 rows=1 width=706) Join Filter: ((st_closestpoint(l.geom, dade_random_points.wkb_geometry) && st_expand(dade_random_points.wkb_geometry, 200::double precision)) AND (dade_random_points.wkb_geometry && st_expand(st_closestpoint(l.geom, dade_random_points.wkb_geometry), 200::double precision)) AND _st_dwithin(st_closestpoint(l.geom, dade_random_points.wkb_geometry), dade_random_points.wkb_geometry, 200::double precision) AND st_intersects(st_buffer(st_closestpoint(l.geom, dade_random_points.wkb_geometry), 1e-05::double precision), l.geom))
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Oct 7, 2013 at 2:16 history edited djq CC BY-SA 3.0
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Oct 7, 2013 at 1:56 history answered djq CC BY-SA 3.0