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Date: Thu, 19 Apr 2012 20:10:39 +0000 (UTC)
From: "Peter Karich (Created) (JIRA)" <jira@apache.org>
To: sis-commits@incubator.apache.org
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Subject: [jira] [Created] (SIS-45) Performance improvement of
 queryByPointRadius
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Performance improvement of queryByPointRadius
---------------------------------------------

                 Key: SIS-45
                 URL: https://issues.apache.org/jira/browse/SIS-45
             Project: Spatial Information Systems
          Issue Type: Improvement
            Reporter: Peter Karich


If I didn't make a mistake a search with the normal distance method took ~2.4s and with this distance method it takes only about 0.7s:

{code}
  public static double getHaversineDistance(double fromLat, double fromLon, double toLat, double toLon) {
    double dLat = Math.toRadians(toLat - fromLat);
        double dLon = Math.toRadians(toLon - fromLon);
        double a = Math.sin(dLat / 2) * Math.sin(dLat / 2)
                + Math.cos(Math.toRadians(fromLat)) * Math.cos(Math.toRadians(toLat)) * Math.sin(dLon / 2) * Math.sin(dLon / 2);
        return EARTH_RADIUS * 2 * Math.asin(Math.sqrt(a));
  }
{code}

Also one should think about normalizing the distance before the search so that one does not need the whole last line which should give further speed improvements.

I'm still unsure why it takes roughly the same time in my example for 10km, 20km and 40kmm where at every step a lot more nodes are involved. Normally I would say the mode nodes - the more comparisons it'll take and the slower it should get. But it doesn't. Probably I'm measuring wrong?

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