select ny, rank() over (partition by ny, gfbm order by zpf desc) as pm from table; select ny, row_number() over (partition by ny, gfbm order by zpf desc) as pm from table; 1. 2. 3. 上面三种方式对应排名如下:
rank() OVER (PARTITION BY depname ORDER BY salary DESC) FROM empsalary; rank函数在当前行的分区内按照ORDER BY子句的顺序为每一个可区分的ORDER BY值产生了一个数字等级。 rank不需要显式的参数,因为它的行为完全决定于OVER子句。 一个窗口函数所考虑的行属于那些通过查询的FROM子句产生并通过WHERE、GROUP B...
SELECT dense_rank()over(partition by road_id ORDER BY len) param,road_id from rs; -- count() over(partition by ... order by ...) SELECT count() over(partition by road_id) param,road_id from rs;
再看一个例子: postgres=#SELECTdepname, empno, salary,rank()OVER(PARTITIONBYdepnameORDERBYsalaryDESC)FROMempsalary; depname|empno|salary|rank---+---+---+---develop|8|6000|1develop|10|5200|2develop|11|5200|2develop|9|4500|4develop|7|4200|5personnel|3|4800|1personnel|2|3900|2personnel|...
rank() over(patition by dept_name order by salary desc) -- 开窗函数,根据部门分组,然后根据薪资排序 from salary_log; 1. 2. 3. 开窗函数语法 想要使用的函数() -- 例如 rank()获取排名、sum()、ave()、count() over( partition by 列 -- 要分组的列(类似于group by) ...
4，rank() OVER()与row_number() OVER()类似主要区别是当组内某⾏字段值相同时，⾏号重复并且⾏号产⽣间隙。postgres=# SELECT rank() OVER(PARTITION BY subject ORDER BY score DESC),*FROM scores;rank | id | subject | stu_name | score ---+---+---+---+--- 1|2| Chinese | use...
WITH inactive_connections AS ( SELECT pid, rank() over (partition by client_addr order by backend_start ASC) as rank FROM pg_stat_activity WHERE pid <> pg_backend_pid( ) AND application_name !~ '(?:psql)|(?:pgAdmin.+)' AND datname = current_database() AND usename = current_user...
(u_ping_time) OVER (PARTITION BY u_imei, a_imei ORDER BY u_ping_time)) + interval '5 hours' AS next_parent_time,-- OG ROW_NUMBER() OVER (PARTITION BY u_imei, a_imei ORDER BY u_ping_time) AS interaction_rank FROM pings ) , dummy as ( select *,next_parent_time-u_ping_...
GROUP BY grid_x,grid_y 网格抽稀算法 selectgrid_x,grid_y,name,lon,lat,dense_rankfrom(selectgrid_x,grid_y,name,lon,lat,dense_rank()over(partition by grid_x order by name desc)dense_rankfrom(selectwidth_bucket(st_x(geom),113.635763,127.161163839957,20)grid_x,width_bucket(st_y(geom),17....