2 1
3 .927372984 4 .807019972 5 .932745567 6 .94682861 7 .965342011 8 .955768075 9 .959542618 10 .938618575 11 .880931415 12 .882769189
SAMPLE 4：下例计算1998年12月最后两周产品260的销售量中已开发票数量和总数量的累积平均值 SELECT t.day_number_in_month,
REGR_AVGY(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_month_desc, t.day_number_in_month) \
REGR_AVGX(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_month_desc, t.day_number_in_month) \
FROM sales s, times t WHERE s.time_id = t.time_id AND s.prod_id = 260
AND t.fiscal_month_desc = '1998-12' AND t.fiscal_week_number IN (51, 52) ORDER BY t.day_number_in_month;
DAY_NUMBER_IN_MONTH Regr_AvgY Regr_AvgX ------------------- ---------- ---------- 14 882 24.5 14 882 24.5 15 801 22.25 15 801 22.25 16 777.6 21.6
18 642.857143 17.8571429 18 642.857143 17.8571429 20 589.5 16.375 21 544 15.1111111
22 592.363636 16.4545455 22 592.363636 16.4545455 24 553.846154 15.3846154 24 553.846154 15.3846154 26 522 14.5
27 578.4 16.0666667
SAMPLE 5：下例计算产品260和270在1998年2月周末销售量中已开发票数量和总数量的累积REGR_SXY, REGR_SXX, and REGR_SYY统计值
SELECT t.day_number_in_month,
REGR_SXY(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_year, t.fiscal_month_desc) \ REGR_SYY(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_year, t.fiscal_month_desc) \ REGR_SXX(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_year, t.fiscal_month_desc) \ FROM sales s, times t WHERE s.time_id = t.time_id AND prod_id IN (270, 260)
AND t.fiscal_month_desc = '1998-02' AND t.day_number_in_week IN (6,7) ORDER BY t.day_number_in_month;
DAY_NUMBER_IN_MONTH Regr_sxy Regr_syy Regr_sxx ------------------- ---------- ---------- ---------- 1 18870.4 2116198.4 258.4 1 18870.4 2116198.4 258.4 1 18870.4 2116198.4 258.4 1 18870.4 2116198.4 258.4 7 18870.4 2116198.4 258.4 8 18870.4 2116198.4 258.4 14 18870.4 2116198.4 258.4 15 18870.4 2116198.4 258.4 21 18870.4 2116198.4 258.4 22 18870.4 2116198.4 258.4 ? 103。ROW_NUMBER
功能描述：返回有序组中一行的偏移量，从而可用于按特定标准排序的行号。 SAMPLE：下例返回每个员工再在每个部门中按员工号排序后的顺序号 SELECT department_id, last_name, employee_id, ROW_NUMBER() OVER (PARTITION BY department_id ORDER BY employee_id) AS emp_id FROM employees
WHERE department_id < 50;
DEPARTMENT_ID LAST_NAME EMPLOYEE_ID EMP_ID ------------- ------------------------- ----------- ---------- 10 Whalen 200 1 20 Hartstein 201 1 20 Fay 202 2 30 Raphaely 114 1 30 Khoo 115 2 30 Baida 116 3 30 Tobias 117 4 30 Himuro 118 5 30 Colmenares 119 6 40 Mavris 203 1
104。STDDEV
功能描述：计算当前行关于组的标准偏离。（Standard Deviation） SAMPLE：下例返回部门30按雇佣日期排序的薪水值的累积标准偏离 SELECT last_name, hire_date,salary,
STDDEV(salary) OVER (ORDER BY hire_date) \ FROM employees
WHERE department_id = 30;
LAST_NAME HIRE_DATE SALARY StdDev
------------------------- ---------- ---------- ---------- Raphaely 07-12月-94 11000 0 Khoo 18-5月 -95 3100 5586.14357 Tobias 24-7月 -97 2800 4650.0896 Baida 24-12月-97 2900 4035.26125 Himuro 15-11月-98 2600 3649.2465 Colmenares 10-8月 -99 2500 3362.58829
105。STDDEV_POP
功能描述：该函数计算总体标准偏离，并返回总体变量的平方根，其返回值与VAR_POP函数的平方根相同。（Standard Deviation－Population）
SAMPLE：下例返回部门20、30、60的薪水值的总体标准偏差 SELECT department_id, last_name, salary,
STDDEV_POP(salary) OVER (PARTITION BY department_id) AS pop_std FROM employees
WHERE department_id in (20,30,60);
DEPARTMENT_ID LAST_NAME SALARY POP_STD ------------- ------------------------- ---------- ---------- 20 Hartstein 13000 3500 20 Fay 6000 3500
30 Raphaely 11000 3069.6091 30 Khoo 3100 3069.6091 30 Baida 2900 3069.6091 30 Colmenares 2500 3069.6091 30 Himuro 2600 3069.6091 30 Tobias 2800 3069.6091 60 Hunold 9000 1722.32401 60 Ernst 6000 1722.32401 60 Austin 4800 1722.32401 60 Pataballa 4800 1722.32401 60 Lorentz 4200 1722.32401 106。STDDEV_SAMP
功能描述： 该函数计算累积样本标准偏离，并返回总体变量的平方根，其返回值与VAR_POP函数的平方根相同。（Standard Deviation－Sample）
SAMPLE：下例返回部门20、30、60的薪水值的样本标准偏差 SELECT department_id, last_name, hire_date, salary,
STDDEV_SAMP(salary) OVER
(PARTITION BY department_id ORDER BY hire_date
ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS cum_sdev FROM employees
WHERE department_id in (20,30,60);
DEPARTMENT_ID LAST_NAME HIRE_DATE SALARY CUM_SDEV ------------- ------------------------- ---------- ---------- ---------- 20 Hartstein 17-2月 -96 13000 20 Fay 17-8月 -97 6000 4949.74747 30 Raphaely 07-12月-94 11000 30 Khoo 18-5月 -95 3100 5586.14357 30 Tobias 24-7月 -97 2800 4650.0896 30 Baida 24-12月-97 2900 4035.26125 30 Himuro 15-11月-98 2600 3649.2465 30 Colmenares 10-8月 -99 2500 3362.58829 60 Hunold 03-1月 -90 9000
60 Ernst 21-5月 -91 6000 2121.32034 60 Austin 25-6月 -97 4800 2163.33077 60 Pataballa 05-2月 -98 4800 1982.42276 60 Lorentz 07-2月 -99 4200 1925.61678
107。SUM
功能描述：该函数计算组中表达式的累积和。 SAMPLE：下例计算同一经理下员工的薪水累积值 SELECT manager_id, last_name, salary,
SUM (salary) OVER (PARTITION BY manager_id ORDER BY salary RANGE UNBOUNDED PRECEDING) l_csum FROM employees
WHERE manager_id in (101,103,108); MANAGER_ID LAST_NAME SALARY L_CSUM ---------- ------------------------- ---------- ---------- 101 Whalen 4400 4400 101 Mavris 6500 10900 101 Baer 10000 20900 101 Greenberg 12000 44900 101 Higgins 12000 44900 103 Lorentz 4200 4200 103 Austin 4800 13800 103 Pataballa 4800 13800 103 Ernst 6000 19800 108 Popp 6900 6900 108 Sciarra 7700 14600 108 Urman 7800 22400 108 Chen 8200 30600
108 Faviet 9000 39600 108。VAR_POP
功能描述：（Variance Population）该函数返回非空集合的总体变量（忽略null），VAR_POP进行如下计算：
(SUM(expr2) - SUM(expr)2 / COUNT(expr)) / COUNT(expr)
SAMPLE：下例计算1998年每月销售的累积总体和样本变量（本例在SH用户下运行） SELECT t.calendar_month_desc, VAR_POP(SUM(s.amount_sold))
OVER (ORDER BY t.calendar_month_desc) \ VAR_SAMP(SUM(s.amount_sold))
OVER (ORDER BY t.calendar_month_desc) \ FROM sales s, times t
WHERE s.time_id = t.time_id AND t.calendar_year = 1998 GROUP BY t.calendar_month_desc; CALENDAR Var_Pop Var_Samp -------- ---------- ---------- 1998-01 0
1998-02 6.1321E+11 1.2264E+12 1998-03 4.7058E+11 7.0587E+11 1998-04 4.6929E+11 6.2572E+11 1998-05 1.5524E+12 1.9405E+12 1998-06 2.3711E+12 2.8453E+12 1998-07 3.7464E+12 4.3708E+12 1998-08 3.7852E+12 4.3260E+12 1998-09 3.5753E+12 4.0222E+12 1998-10 3.4343E+12 3.8159E+12 1998-11 3.4245E+12 3.7669E+12 1998-12 4.8937E+12 5.3386E+12 109。VAR_SAMP
功能描述：（Variance Sample）该函数返回非空集合的样本变量（忽略null），VAR_POP进行如下计算： (SUM(expr*expr)-SUM(expr)*SUM(expr)/COUNT(expr))/(COUNT(expr)-1) SAMPLE：下例计算1998年每月销售的累积总体和样本变量 SELECT t.calendar_month_desc, VAR_POP(SUM(s.amount_sold))
OVER (ORDER BY t.calendar_month_desc) \ VAR_SAMP(SUM(s.amount_sold))
OVER (ORDER BY t.calendar_month_desc) \ FROM sales s, times t
WHERE s.time_id = t.time_id AND t.calendar_year = 1998 GROUP BY t.calendar_month_desc; CALENDAR Var_Pop Var_Samp -------- ---------- ---------- 1998-01 0
1998-02 6.1321E+11 1.2264E+12
1998-03 4.7058E+11 7.0587E+11 1998-04 4.6929E+11 6.2572E+11 1998-05 1.5524E+12 1.9405E+12 1998-06 2.3711E+12 2.8453E+12 1998-07 3.7464E+12 4.3708E+12 1998-08 3.7852E+12 4.3260E+12 1998-09 3.5753E+12 4.0222E+12 1998-10 3.4343E+12 3.8159E+12 1998-11 3.4245E+12 3.7669E+12 1998-12 4.8937E+12 5.3386E+12 110。VARIANCE
功能描述：该函数返回表达式的变量，Oracle计算该变量如下： 如果表达式中行数为1，则返回0
如果表达式中行数大于1，则返回VAR_SAMP
SAMPLE：下例返回部门30按雇佣日期排序的薪水值的累积变化 SELECT last_name, salary, VARIANCE(salary) OVER (ORDER BY hire_date) \ FROM employees
WHERE department_id = 30; LAST_NAME SALARY Variance
------------------------- ---------- ---------- Raphaely 11000 0 Khoo 3100 31205000 Tobias 2800 21623333.3 Baida 2900 16283333.3 Himuro 2600 13317000 Colmenares 2500 11307000
oracle+110个常用函数
