<-> — 返回 A 和 B 之间的 2D 距离。
double precision <->( geometry A , geometry B );
double precision <->( geography A , geography B );
The <-> operator returns the 2D distance between two geometries. Used in the "ORDER BY" clause provides index-assisted nearest-neighbor result sets with true KNN distance search for geometries, and distance on the sphere for geographies.
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该操作符将利用几何上可能可用的 2D GiST 索引。 它与其他使用空间索引的运算符不同,只有当该运算符位于 ORDER BY 子句中时才会使用空间索引。 |
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仅当其中一个几何图形是常量(不在子查询/cte 中)时,索引才会启动。 例如 'SRID=3005;POINT(1011102 450541)'::geometry 而不是 a.geom |
有关详细示例,请参阅 PostGIS 研讨会:最近邻搜索。
Enhanced: 2.2.0 -- True KNN ("K nearest neighbor") behavior for geometry and geography. Note for geography KNN is based on sphere rather than spheroid.
Changed: 2.2.0 -- Old hybrid-syntax workarounds may be slower once true KNN is available. See examples below.
Availability: 2.0.0 -- Weak KNN provides nearest neighbors based on geometry centroid distances instead of true distances. Exact results for points, inexact for all other types.
SELECT ST_Distance(geom, 'SRID=3005;POINT(1011102 450541)'::geometry) as d,edabbr, vaabbr
FROM va2005
ORDER BY d limit 10;
d | edabbr | vaabbr
------------------+--------+--------
0 | ALQ | 128
5541.57712511724 | ALQ | 129A
5579.67450712005 | ALQ | 001
6083.4207708641 | ALQ | 131
7691.2205404848 | ALQ | 003
7900.75451037313 | ALQ | 122
8694.20710669982 | ALQ | 129B
9564.24289057111 | ALQ | 130
12089.665931705 | ALQ | 127
18472.5531479404 | ALQ | 002
(10 rows)
KNN的原始答案是:
SELECT st_distance(geom, 'SRID=3005;POINT(1011102 450541)'::geometry) as d,edabbr, vaabbr
FROM va2005
ORDER BY geom <-> 'SRID=3005;POINT(1011102 450541)'::geometry limit 10;
d | edabbr | vaabbr
------------------+--------+--------
0 | ALQ | 128
5541.57712511724 | ALQ | 129A
5579.67450712005 | ALQ | 001
6083.4207708641 | ALQ | 131
7691.2205404848 | ALQ | 003
7900.75451037313 | ALQ | 122
8694.20710669982 | ALQ | 129B
9564.24289057111 | ALQ | 130
12089.665931705 | ALQ | 127
18472.5531479404 | ALQ | 002
(10 rows)
如果您对这两个查询运行“EXPLAIN ANALYZE”,您将看到第二个查询的性能有所提高。
When a plan cannot produce exact distances directly, use a hybrid query to find the true nearest neighbors. First a CTE query using the index-assisted KNN, then an exact query to get correct ordering:
WITH index_query AS (
SELECT ST_Distance(geom, 'SRID=3005;POINT(1011102 450541)'::geometry) as d,edabbr, vaabbr
FROM va2005
ORDER BY geom <-> 'SRID=3005;POINT(1011102 450541)'::geometry LIMIT 100)
SELECT *
FROM index_query
ORDER BY d limit 10;
d | edabbr | vaabbr
------------------+--------+--------
0 | ALQ | 128
5541.57712511724 | ALQ | 129A
5579.67450712005 | ALQ | 001
6083.4207708641 | ALQ | 131
7691.2205404848 | ALQ | 003
7900.75451037313 | ALQ | 122
8694.20710669982 | ALQ | 129B
9564.24289057111 | ALQ | 130
12089.665931705 | ALQ | 127
18472.5531479404 | ALQ | 002
(10 rows)