杂

1. 查看所有job

select job,what,failures,broken from user_jobs  

 

2. 为统计增加合计列

select o.platform_order_id,sum(o.system_cost),sum(o.platform_cost),sum(o.spreader_cost),sum(o.shop_cost) from 

bp_platform_order o 

where o.order_status=0

and o.business_type='G3' 

group by rollup(o.platform_order_id)

View Code

 

3. 将一列数据用 "," 拼接起来

select wm_concat(t.shop_id) from shop_info t where t.xx=11691

 

4. 枚举加权值

if (bitand(v_total_steps, e_apply_step.need_extradata)+0 = 0)

if (bitand(v_finished_steps, e_apply_step.need_extradata)+0=e_apply_step.need_extradata)

 

5. SQL%ROWCOUNT!=1

在执行任何DML语句之前，SQL%ROWCOUNT的值都是NULL,对于SELECT INTO语句，如果执行成功，SQL%ROWCOUNT的值为1,如果没有成功或者没有操作(如update、insert、delete为0条），SQL%ROWCOUNT的值为0

 

6. case... when

 1 case var

 2 　　when 条件1 then

 3 　　　　if 条件1_1 then

 4 　　　　　　return ****;

 5 　　　　end if;

 6 　　　　reutrn ****;

 7 　　when 条件2 then

 8 　　　　if 条件2_1 then

 9 　　　　　　return ****;

10 　　　　end if;

11 　　　　reutrn ****;

12 　　else

13 　　　　return 9999;

14 end case;

Case...When

 

7. 多条重复的记录，仅取出按需排序的某一条

1     SELECT Accountno

2       INTO OUTACCOUNTNO

3       FROM (SELECT Accountno,

4                    AccountName,

5                    ROW_NUMBER() OVER(ORDER BY OPTIME DESC) ROWPOS

6               FROM Pub_Agt_Allinpay_Reg_Info

7              WHERE AGTPHONE = InAgtphone

8                AND STATE = '2')

9      WHERE ROWPOS = 1;

排序去重

 

8. 连表更新

1 UPDATE table_1 a

2    SET col_x1 = (SELECT b.col_y1 FROM table_2 b WHERE b.col_n = a.col_m),

3        col_x2 = (SELECT b.col_y2 FROM table_2 b WHERE b.col_n = a.col_m)

4 WHERE EXISTS (SELECT * FROM table_2 b WHERE b.col_n = a.col_m)

写法一

1 UPDATE table_1 a

2    SET (col_x1, col_x2) = (SELECT b.col_y1, b.col_y2 FROM table_2 b WHERE b.col_n = a.col_m)

3 WHERE EXISTS (SELECT * FROM table_2 b WHERE b.col_n = a.col_m);

写法二

 

9. 从某表复制数据到另一个表

 1   insert into PUB_SHOP_INFO

 2     (MOBILE, -- 1

 3      REAL_NAME, -- 2

 4      ID_CARD, -- 3

 5      SHOP_ADDR, -- 4

 6      BELONG_TO)

 7     select t.agtphone, -- 1

 8            t.agtname, -- 2

 9            t.agtidcard, -- 3

10            nvl(t.agtofficeaddr, t.agthomeaddr), --4

11            t.agtbelong -- 5

12       from pub_agt_info_s t;

选定字段复制

 

10. 按某一个时间段进行分组统计

 1 select to_char((trunc(sysdate) +

 2                trunc((o.request_time - trunc(sysdate)) * 24 * 60 / 30) * 30 / 60 / 24),

 3                'hh24:mi') || '-' ||

 4        to_char((trunc(sysdate) +

 5                trunc((o.request_time - trunc(sysdate)) * 24 * 60 / 30 + 1) * 30 / 60 / 24),

 6                'hh24:mi') period,

 7        count(*) 订单笔数,

 8        sum(o.order_fee) 订单总面值,

 9        sum(o.success_fee) 成功总面值

10   from bp_platform_order o

11  where o.request_time >= to_date('20150119', 'yyyymmdd')

12    and o.request_time < to_date('20150119', 'yyyymmdd') + 1

13  group by to_char((trunc(sysdate) +

14                   trunc((o.request_time - trunc(sysdate)) * 24 * 60 / 30) * 30 / 60 / 24),

15                   'hh24:mi') || '-' ||

16           to_char((trunc(sysdate) +

17                   trunc((o.request_time - trunc(sysdate)) * 24 * 60 / 30 + 1) * 30 / 60 / 24),

18                   'hh24:mi')

19  order by 1;

按时间段进行分组统计