select ny, dense_rank() over (partition by ny, gfbm order by zpf desc) as pm from table; 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...
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;
SELECTsum(salary) OVER (PARTITION by depname),avg(salary) OVER (PARTITION bydepname),*from empsalary; 16.统计人员在所在部门的薪水排名情况 select rank()over(partition by depname ORDER BY salary),* from empsalary; select row_number() over(PARTITION by depnameorder by salary desc),* from ...
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),17.7650105263925,35.6746737273545,20)grid_y,name,lon,latfrommytable)a)bwheredense_rank<=3...
GROUP BY orgunits.id, rooms.id ) as temp1 ) as temp2 where ordernum<=1 ; -- Q6: create or replace view Q6(program_id, stream_id) as select program_id,stream_id from ( select program_id,stream_id,RANK() OVER (PARTITION BY program_id ORDER BY ordernum DESC) as ordernum from ...
(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_...
rank() OVER (PARTITION BY depname ORDER BY salary DESC, empno) AS pos FROM empsalary ) AS ss WHERE pos < 3; SELECT sum(salary) OVER w, avg(salary) OVER w FROM empsalary WINDOW w AS (PARTITION BY depname ORDER BY salary DESC); SELECT name, altitude FROM ONLY cities WHERE altitude...
sql语句: select * from(select SYSTEMID,COMMANDID,SUBTYPE,LISTCONTENT,STRING1,STRING2,STRING3,STRING4,STRING5,NUMBER1,NUMBER2,NUMBER3,NUMBER4,NUMBER5, rank() over(partition by e.comma[Done]mysql in (#{list}) 只能查询/删除第一条的问题 数据如下(注意age是int类型): sql如下(注意是#不是$)...
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) ...