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Correctly indexing latitude and longitude values in Lucene

Am working on a "US based nearest city search within a given radius" functionality using Lucene API. Am indexing city's lat and long values in Lucene as follows:

doc.Add(new Field("latitude", paddedLatitude, Field.Store.YES, Field.Index.UN_TOKENIZED));

doc.Add(new Field("longitude", paddedLongitude, Field.Store.YES, Field.Index.UN_TOKENIZED));

Since Lucene only understands strings and not numbers, am padding lat and long values.

For example, if original lat and long are 41.811846 and -87.820628 respectively, after padding,values look like:

paddedLatitude -->"0041.811846" and paddedLongitude-->"-087.820628"

Am doing the same padding while building the nearest city query(using Lucene's ConstantScoreRangeQuery class).

Given the fact that lat and long values could be decimal/negative numbers, is this the right approach to index them so that I would get correct nearest cities in the search results when lucene would perform a number Range/comparison operation on these values?

Thanks.

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user74042 Avatar asked Jun 28 '09 16:06

user74042


2 Answers

Here's the bleeding edge about Searching Numerical Fields in Lucene by Uwe Schindler, the expert on the subject. You may need to use the older (and slower) ConstantScoreRangeQuery because Lucene.net is a bit behind Lucene, and the class NumericRangeQuery described in the link was not yet released in Java Lucene.

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Yuval F Avatar answered Sep 30 '22 11:09

Yuval F


The linked article in Yuval F's answer made me realize I was wrong in an earlier answer, which you seem to be relying on.

You shouldn't index negative numbers as is, especially in this case, where some of the values are negative and some are positive.

This article seems to have a pretty good discussion of spatial search. He uses some transformations to make all the values positive, and he also touches on other subjects you should probably be aware of, like distance calculations.

One thing to remember if you're encoding the values is to encode them both for the indexing and when building the query.

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itsadok Avatar answered Sep 30 '22 12:09

itsadok