【发布时间】:2018-10-22 10:57:07
【问题描述】:
我将 PostGIS 与 Postgresql 一起使用,以便能够通过存储在位置列 Geometry/Point SRID: 4326 中的坐标来定位某个半径内的条目。以下是我正在试验的两个查询:
第一个距离以米为单位,use_spheroid=true
EXPLAIN ANALYZE SELECT count(*) FROM "cars" WHERE ST_DWithin(location, ST_SetSRID(ST_MakePoint(20, -30), 4326), 105000, true) LIMIT 1000;
QUERY PLAN
--------------
Limit (cost=11884.28..11884.30 rows=1 width=8) (actual time=18.843..18.844 rows=1 loops=1)
-> Aggregate (cost=11884.28..11884.30 rows=1 width=8) (actual time=18.842..18.843 rows=1 loops=1)
-> Seq Scan on cars (cost=0.00..11883.33 rows=381 width=0) (actual time=0.486..18.827 rows=38 loops=1)
Filter: (((location)::geography && '0101000020E610000000000000000034400000000000003EC0'::geography) AND ('0101000020E610000000000000000034400000000000003EC0'::geography && _st_expand((location)::geography, '105000'::double precision)) AND _st_dwithin((location)::geography, '0101000020E610000000000000000034400000000000003EC0'::geography, '105000'::double precision, true))
Rows Removed by Filter: 28549
Planning time: 0.166 ms
Execution time: 18.878 ms
(7 rows)
第二,我假设,接受度数的距离,并且 use_spheroid 默认为 false。更正:原来这仍然使用 use_spheroid=true,但与此调用匹配的函数签名需要几何和 SRID 单位,即 4326 的度数。
EXPLAIN ANALYZE SELECT count(*) FROM "cars" WHERE ST_DWithin(location, ST_SetSRID(ST_MakePoint(20, -30), 4326), 1) LIMIT 1000;
QUERY PLAN
-----------------------------
Limit (cost=145.30..145.31 rows=1 width=8) (actual time=0.154..0.155 rows=1 loops=1)
-> Aggregate (cost=145.30..145.31 rows=1 width=8) (actual time=0.154..0.154 rows=1 loops=1)
-> Bitmap Heap Scan on cars (cost=4.59..145.29 rows=3 width=0) (actual time=0.050..0.147 rows=37 loops=1)
Recheck Cond: (location && '0103000020E6100000010000000500000000000000000033400000000000003FC000000000000033400000000000003DC000000000000035400000000000003DC000000000000035400000000000003FC000000000000033400000000000003FC0'::geometry)
Filter: (('0101000020E610000000000000000034400000000000003EC0'::geometry && st_expand(location, '1'::double precision)) AND _st_dwithin(location, '0101000020E610000000000000000034400000000000003EC0'::geometry, '1'::double precision))
Rows Removed by Filter: 11
Heap Blocks: exact=47
-> Bitmap Index Scan on cars_location_index (cost=0.00..4.59 rows=42 width=0) (actual time=0.037..0.037 rows=48 loops=1)
Index Cond: (location && '0103000020E6100000010000000500000000000000000033400000000000003FC000000000000033400000000000003DC000000000000035400000000000003DC000000000000035400000000000003FC000000000000033400000000000003FC0'::geometry)
Planning time: 0.280 ms
Execution time: 0.188 ms
(11 rows)
两个查询都返回相似的结果(+/- 因为精度)。然而,第一个运行速度慢了 100 倍。同样将use_spheroid 设置为false 并不能保证使用索引,当距离太小(45)时,它会退回到Seq Scan。这是应该的还是我做错了什么?
补充:经过更多实验后,我将列类型更改为 Geography.Point,现在它始终使用索引。问题似乎已解决,但我仍然对使用 Geometry 类型观察到的行为感到困惑。
【问题讨论】:
标签: postgresql gis postgis