PostgreSQL PostGIS 的5种空间距离排序(knn)算法
摘要:?標簽 PostgreSQL , PostGIS , operator , ops , knn 背景 PostgreSQL GiST索引支持排序接口,可以支撐空間、標準、數組、文本向量、文本等類型的排序。
標簽
PostgreSQL , PostGIS , operator , ops , knn
背景
PostgreSQL GiST索引支持排序接口,可以支撐空間、標準、數組、文本向量、文本等類型的排序。
分別表示:
1、給定一空間位置,按空間距離排序輸出
2、給定一數組、全文檢索值、字符串,按數組、全文檢索、字符串相似度排序輸出
3、給定一標準類型的值,按標準類型的距離排序
數據庫目前支持哪些排序操作符,可以參考:《PostgreSQL 如何確定某個opclass支持哪些操作符(支持索引),JOIN方法,排序》
postgres=# select oprleft::regtype,oprright::regtype,oprresult::regtype,oprname,oprkind,oprcode from pg_operator where oid in (select amopopr from pg_amop where amopsortfamily<>0); oprleft | oprright | oprresult | oprname | oprkind | oprcode -----------------------------+-----------------------------+------------------+---------+---------+------------------------------------ point | point | double precision | <-> | b | point_distance circle | point | double precision | <-> | b | dist_cpoint polygon | point | double precision | <-> | b | dist_polyp geometry | geometry | double precision | <-> | b | geometry_distance_centroid geometry | geometry | double precision | <#> | b | geometry_distance_box geometry | geometry | double precision | <<->> | b | geometry_distance_centroid_nd geometry | geometry | double precision | |=| | b | geometry_distance_cpa geography | geography | double precision | <-> | b | geography_distance_knn oprcode是這個操作符對應的函數,要知道操作符的算法,可以下載postgis源碼根據函數找到其C代碼。安裝了PostGIS后,對于空間排序,目前支持5種算法
PostGIS 空間排序算法
1、2D平面,兩個對象實際距離
<-> — Returns the 2D distance between A and B.2、計算兩條有效軌跡類型的距離(如果兩個軌跡沒有交集, 返回空)
|=| — Returns the distance between A and B trajectories at their closest point of approach.3、2D平面,兩個對象bound box實面的距離(所以如果BOUND BOX與另一對象 相交,包含,說明距離為0)
<#> — Returns the 2D distance between A and B bounding boxes.4、與1類似,多維對象,返回兩個bound box 中心點的距離
<<->> — Returns the n-D distance between the centroids of A and B bounding boxes.5、與3類似,多維對象,返回兩個bound box 實體的距離
<<#>> — Returns the n-D distance between A and B bounding boxes.例子
1、點和線段的實際距離
postgres=# select st_setsrid(st_makepoint(1,2),4326) <-> st_setsrid(ST_MakeLine(ST_MakePoint(0,0.9), ST_MakePoint(3,4)),4326); ?column? -------------------- 0.0463614285010702 (1 row)2、點和線段(BOUND BOX實體)的距離
postgres=# select st_setsrid(st_makepoint(1,2),4326) <#> st_setsrid(ST_MakeLine(ST_MakePoint(0,0.9), ST_MakePoint(3,4)),4326); ?column? ---------- 0 (1 row)3、兩個不相交軌跡(范圍沒有相交)的距離
postgres=# WITH inp AS ( SELECT ST_AddMeasure('LINESTRING Z (0 0 0, 10 0 5)'::geometry, extract(epoch from '2015-05-26 10:01'::timestamptz), extract(epoch from '2015-05-26 11:01'::timestamptz) ) a, ST_AddMeasure('LINESTRING Z (0 2 10, 12 1 2)'::geometry, extract(epoch from '2015-05-25 01:00'::timestamptz), extract(epoch from '2015-05-25 13:00'::timestamptz) ) b ) SELECT ST_DistanceCPA(a,b) distance FROM inp; distance ---------- (1 row)4、兩個有相交(范圍有交集)的距離 (lower1upper1 與 lower2upper2 有相交)
postgres=# WITH inp AS ( SELECT ST_AddMeasure('LINESTRING Z (0 0 0, 10 0 5)'::geometry, extract(epoch from '2015-05-26 10:01'::timestamptz), -- lower extract(epoch from '2015-05-26 11:01'::timestamptz) -- upper ) a, ST_AddMeasure('LINESTRING Z (0 2 10, 12 1 2)'::geometry, extract(epoch from '2015-05-25 01:00'::timestamptz), -- lower extract(epoch from '2015-05-26 13:00'::timestamptz) -- upper ) b ) SELECT ST_DistanceCPA(a,b) distance FROM inp; distance ------------------ 3.07479618495659 (1 row)5、兩個有相交(范圍有交集)的距離
postgres=# WITH inp AS ( SELECT ST_AddMeasure('LINESTRING Z (0 0 0, 10 0 5)'::geometry, extract(epoch from '2015-05-26 10:01'::timestamptz), extract(epoch from '2015-05-26 11:01'::timestamptz) ) a, ST_AddMeasure('LINESTRING Z (0 2 10, 12 1 2)'::geometry, extract(epoch from '2015-05-25 01:00'::timestamptz), extract(epoch from '2015-05-26 10:10'::timestamptz) ) b ) SELECT ST_DistanceCPA(a,b) distance FROM inp; distance ----------------- 10.621322893124 (1 row)排序用法
select * from tbl order by geom <-> 某個空間對象常量;參考
http://workshops.boundlessgeo.com/postgis-intro/knn.html
http://postgis.net/docs/manual-2.4/reference.html#Operators
http://postgis.net/docs/manual-2.4/geometry_distance_cpa.html
http://postgis.net/docs/manual-2.4/ST_DistanceCPA.html
《PostgreSQL 如何確定某個opclass支持哪些操作符(支持索引),JOIN方法,排序》
原文鏈接
本文為云棲社區原創內容,未經允許不得轉載。?
總結
以上是生活随笔為你收集整理的PostgreSQL PostGIS 的5种空间距离排序(knn)算法的全部內容,希望文章能夠幫你解決所遇到的問題。
- 上一篇: 基于OGG Datahub插件将Orac
- 下一篇: 机器学习必备:前20名Python人工智