Monday, June 29, 2015

How to Implement Geospatial Search Using Solr | Whitepages blog


How to Implement Geospatial Search Using Solr | Whitepages blog
One approach is to use a bounding box to create a range-based query based on upper and lower bounds for latitude and longitude fields. The problem with this approach is that Lucene will have to potentially scan some very large document sets.

Cartesian Tiers
Cartesian tiers map locations to a series of boxes at increasing levels of precision. At each tier level, the box gets smaller and more precise. We can then query for a number of specific Cartesian tier boxes based on the level of precision we required.

Geohashing

http://tech.meituan.com/solr-spatial-search.html
Cartesian Tiers 笛卡尔层

笛卡尔分层模型的思想是将经纬度转换成更大粒度的分层网格,该模型创建了很多的地理层,每一层在前一层的基础上细化切分粒度,每一个网格被分配一个ID,代表一个地理位置。

基于Solr的空间搜索实践
在Solr中,针对上述的2种原理提供了不同的索引方式去实现,分别是GeohashPrefixTree类和QuadPrefixTree类,其中GeohashPrefixTree对应GeoHash算法(也采用了笛卡尔层的分层思想),QuadPrefixTree对应笛卡尔层的实现。

GeohashPrefixTree与QuadPrefixTree都继承SpatialPrefixTree这个前缀树基类,都使用了分层策略,主要索引和查询逻辑⼀样。不同点在于它们的maxLevels不一样,获取子cell的方式不一样,GeohashPrefixTree有32个子cell(编码为0-z),QuadPrefixTree 只有有4个子cell(编码为ABCD。A:左上,B:右上,C:左下,D:右下)。
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