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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link=blue vlink=purple><div class=WordSection1><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Thanks! That did the trick. I had previously tried a slightly different version of your solution but it was far less efficient.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><div><div style='border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in 0in 0in'><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span></b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'> postgis-users-bounces@lists.osgeo.org [mailto:postgis-users-bounces@lists.osgeo.org] <b>On Behalf Of </b>Pierre Racine<br><b>Sent:</b> Monday, April 08, 2013 10:41 AM<br><b>To:</b> PostGIS Users Discussion<br><b>Subject:</b> Re: [postgis-users] Nearest Neighbor on Large Datasets<o:p></o:p></span></p></div></div><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Try this:<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>SELECT grid.pk_uid, point.pk_uid AS el_id, point.elevation<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>FROM grid_rail_lines grid, elev_rail_combined point <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>WHERE point.pk_uid  = (SELECT point.pk_uid id2<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>        FROM grid_rail_lines point <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>        ORDER BY point.geom <-> grid.geom<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>        LIMIT 1)<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>ORDER BY grid.pk_uid<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><div style='border:none;border-left:solid blue 1.5pt;padding:0in 0in 0in 4.0pt'><div><div style='border:none;border-top:solid #B5C4DF 1.0pt;padding:3.0pt 0in 0in 0in'><p class=MsoNormal><b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'>From:</span></b><span style='font-size:10.0pt;font-family:"Tahoma","sans-serif"'> <a href="mailto:postgis-users-bounces@lists.osgeo.org">postgis-users-bounces@lists.osgeo.org</a> [<a href="mailto:postgis-users-bounces@lists.osgeo.org">mailto:postgis-users-bounces@lists.osgeo.org</a>] <b>On Behalf Of </b>Spencer Gardner<br><b>Sent:</b> Monday, April 08, 2013 11:08 AM<br><b>To:</b> 'PostGIS Users Discussion'<br><b>Subject:</b> [postgis-users] Nearest Neighbor on Large Datasets<o:p></o:p></span></p></div></div><p class=MsoNormal><o:p> </o:p></p><div><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>I have a layer of grid cells and a layer of discreet points representing elevation samples. My grid layer has a total of about 430,000 cells, the elevation data contains about 320,000 points, and both datasets have spatial indexes on them. I need to join each grid cell with the nearest elevation point (within at most 30 feet of the cell’s center point). To accomplish this, I created the following query:<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>SELECT DISTINCT ON (grid_rail_lines.pk_uid)<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>  grid_rail_lines.pk_uid<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>, elev_rail_combined.pk_uid AS el_id<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>, elev_rail_combined.elevation<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>FROM<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>  grid_rail_lines JOIN elev_rail_combined<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>    ON grid_rail_lines.the_geom<->elev_rail_combined.the_geom < 30<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>ORDER BY<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>  grid_rail_lines.pk_uid ASC<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>, grid_rail_lines.the_geom<->elev_rail_combined.the_geom ASC<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>EXPLAIN provides the following information (also available at <a href="http://explain.depesz.com/s/Vsm">depesz</a>):<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Unique  (cost=141973943356.82..142206589733.23 rows=434170 width=624)<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>  ->  Sort  (cost=141973943356.82..142090266545.03 rows=46529275283 width=624)<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>        Sort Key: grid_rail_lines.pk_uid, ((grid_rail_lines.the_geom <-> elev_rail_combined.the_geom))<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>        ->  Nested Loop  (cost=0.00..4910712887.16 rows=46529275283 width=624)<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>              Join Filter: ((grid_rail_lines.the_geom <-> elev_rail_combined.the_geom) < 30::double precision)<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>              ->  Seq Scan on grid_rail_lines  (cost=0.00..13202.70 rows=434170 width=484)<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>              ->  Seq Scan on elev_rail_combined  (cost=0.00..6220.05 rows=321505 width=140)<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>I let this query run over the weekend and it took a total of 21 hours. These datasets are rather large so I expect it to take a long time, but I wonder if there is a more efficient way to conduct the join. As far as I can tell, I’ve structured the query as recommended in the documentation. Does anyone have ideas for how to improve performance? <o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Thanks,<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:11.0pt;font-family:"Calibri","sans-serif";color:#1F497D'>Spencer<o:p></o:p></span></p></div><div class=MsoNormal align=center style='text-align:center'><hr size=3 width="100%" align=center></div><div><p class=MsoNormal><i><span style='font-size:10.0pt;font-family:"Arial","sans-serif"'>This e-mail and any files transmitted with it are confidential and are intended solely for the use of the individual or entity to whom they are addressed. If you are NOT the intended recipient and receive this communication, please delete this message and any attachments. Thank you.</span></i><o:p></o:p></p></div></div></div><HR>
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<DIV><font style="FONT-FAMILY: ; FONT-SIZE: 11px"><span style="FONT-FAMILY: 'arial', 'sans-serif'; FONT-SIZE: 10pt">This e-mail and any files transmitted with it are confidential and are intended solely for the use of the individual or entity to whom they are addressed.<span> </span>If you are NOT the intended recipient and receive this communication, please delete this message and any attachments. Thank you.</span></font></em></DIV></body></html>