73。COVAR_SAMP
功能描述：返回一對表達(dá)式的樣本協(xié)方差
SAMPLE：下例CUM_COVS返回定價和最小產(chǎn)品價格的累積樣本協(xié)方差

SELECT product_id, supplier_id,
COVAR_POP(list_price, min_price)
OVER (ORDER BY product_id, supplier_id) AS CUM_COVP,
COVAR_SAMP(list_price, min_price)
OVER (ORDER BY product_id, supplier_id) AS CUM_COVS
FROM product_information p
WHERE category_id = 29
ORDER BY product_id, supplier_id;

PRODUCT_ID SUPPLIER_ID CUM_COVP CUM_COVS
---------- ----------- ---------- ----------
1774 103088 0
1775 103087 1473.25 2946.5
1794 103096 1702.77778 2554.16667
1825 103093 1926.25 2568.33333
2004 103086 1591.4 1989.25
2005 103086 1512.5 1815
2416 103088 1475.97959 1721.97619
.
.

74。COUNT
功能描述：對一組內(nèi)發(fā)生的事情進(jìn)行累積計數(shù)，如果指定*或一些非空常數(shù)，count將對所有行計數(shù)，如果指定一個表達(dá)式，count
返回表達(dá)式非空賦值的計數(shù)，當(dāng)有相同值出現(xiàn)時，這些相等的值都會被納入被計算的值；可以使用DISTINCT來記錄去掉一組中完全
相同的數(shù)據(jù)后出現(xiàn)的行數(shù)。
SAMPLE：下面例子中計算每個員工在按薪水排序中當(dāng)前行附近薪水在[n-50,n+150]之間的行數(shù)，n表示當(dāng)前行的薪水
例如，Philtanker的薪水2200，排在他之前的行中薪水大于等于2200-50的有1行，排在他之后的行中薪水小于等于2200＋150的行
沒有，所以count計數(shù)值cnt3為2（包括自己當(dāng)前行）；cnt2值相當(dāng)于小于等于當(dāng)前行的SALARY值的所有行數(shù)

SELECT last_name, salary, COUNT(*) OVER () AS cnt1,
COUNT(*) OVER (ORDER BY salary) AS cnt2,
COUNT(*) OVER (ORDER BY salary RANGE BETWEEN 50 PRECEDING
AND 150 FOLLOWING) AS cnt3 FROM employees;

LAST_NAME SALARY CNT1 CNT2 CNT3
------------------------- ---------- ---------- ---------- ----------
Olson 2100 107 1 3
Markle 2200 107 3 2
Philtanker 2200 107 3 2
Landry 2400 107 5 8
Gee 2400 107 5 8
Colmenares 2500 107 11 10
Patel 2500 107 11 10
.
.

75。CUME_DIST
功能描述：計算一行在組中的相對位置，CUME_DIST總是返回大于0、小于或等于1的數(shù)，該數(shù)表示該行在N行中的位置。例如，
在一個3行的組中，返回的累計分布值為1/3、2/3、3/3
SAMPLE：下例中計算每個工種的員工按薪水排序依次累積出現(xiàn)的分布百分比

SELECT job_id, last_name, salary, CUME_DIST()
OVER (PARTITION BY job_id ORDER BY salary) AS cume_dist
FROM employees WHERE job_id LIKE 'PU%';

JOB_ID LAST_NAME SALARY CUME_DIST
---------- ------------------------- ---------- ----------
PU_CLERK Colmenares 2500 .2
PU_CLERK Himuro 2600 .4
PU_CLERK Tobias 2800 .6
PU_CLERK Baida 2900 .8
PU_CLERK Khoo 3100 1
PU_MAN Raphaely 11000 1

76。DENSE_RANK
功能描述：根據(jù)ORDER BY子句中表達(dá)式的值，從查詢返回的每一行，計算它們與其它行的相對位置。組內(nèi)的數(shù)據(jù)按ORDER BY子句排序，然后給每一行賦一個號，從而形成一個序列，該序列從1開始，往后累加。每次ORDER BY表達(dá)式的值發(fā)生變化時，該序列也隨之增加。有同樣值的行得到同樣的數(shù)字序號（認(rèn)為null時相等的）。密集的序列返回的時沒有間隔的數(shù)
SAMPLE：下例中計算每個員工按部門分區(qū)再按薪水排序，依次出現(xiàn)的序列號（注意與RANK函數(shù)的區(qū)別）

SELECT d.department_id , e.last_name, e.salary, DENSE_RANK()
OVER (PARTITION BY e.department_id ORDER BY e.salary) as drank
FROM employees e, departments d
WHERE e.department_id = d.department_id
AND d.department_id IN ('60', '90');

DEPARTMENT_ID LAST_NAME SALARY DRANK
------------- ------------------------- ---------- ----------
60 Lorentz 4200 1
60 Austin 4800 2
60 Pataballa 4800 2
60 Ernst 6000 3
60 Hunold 9000 4
90 Kochhar 17000 1
90 De Haan 17000 1
90 King 24000 2

77。FIRST
功能描述：從DENSE_RANK返回的集合中取出排在最前面的一個值的行（可能多行，因為值可能相等），因此完整的語法需要在開始處加上一個集合函數(shù)以從中取出記錄
SAMPLE：下面例子中DENSE_RANK按部門分區(qū)，再按傭金commission_pct排序，F(xiàn)IRST取出傭金最低的對應(yīng)的所有行，然后前面 的MAX函數(shù)從這個集合中取出薪水最低的值；LAST取出傭金最高的對應(yīng)的所有行，然后前面的MIN函數(shù)從這個集合中取出薪水最高的值
SELECT last_name, department_id, salary,
MIN(salary) KEEP (DENSE_RANK FIRST ORDER BY commission_pct)
OVER (PARTITION BY department_id) "Worst",
MAX(salary) KEEP (DENSE_RANK LAST ORDER BY commission_pct)
OVER (PARTITION BY department_id) "Best"
FROM employees
WHERE department_id in (20,80)
ORDER BY department_id, salary;

LAST_NAME DEPARTMENT_ID SALARY Worst Best
------------------------- ------------- ---------- ---------- ----------
Fay 20 6000 6000 13000
Hartstein 20 13000 6000 13000
Kumar 80 6100 6100 14000
Banda 80 6200 6100 14000
Johnson 80 6200 6100 14000
Ande 80 6400 6100 14000
Lee 80 6800 6100 14000
Tuvault 80 7000 6100 14000
Sewall 80 7000 6100 14000
Marvins 80 7200 6100 14000
Bates 80 7300 6100 14000
.
.
.

78。FIRST_VALUE
功能描述：返回組中數(shù)據(jù)窗口的第一個值。
SAMPLE：下面例子計算按部門分區(qū)按薪水排序的數(shù)據(jù)窗口的第一個值對應(yīng)的名字，如果薪水的第一個值有多個，則從多個對應(yīng)的名字中取缺省排序的第一個名字

SELECT department_id, last_name, salary, FIRST_VALUE(last_name)
OVER (PARTITION BY department_id ORDER BY salary ASC ) AS lowest_sal
FROM employees
WHERE department_id in(20,30);

DEPARTMENT_ID LAST_NAME SALARY LOWEST_SAL
------------- ------------------------- ---------- --------------
20 Fay 6000 Fay
20 Hartstein 13000 Fay
30 Colmenares 2500 Colmenares
30 Himuro 2600 Colmenares
30 Tobias 2800 Colmenares
30 Baida 2900 Colmenares
30 Khoo 3100 Colmenares
30 Raphaely 11000 Colmenares

79。LAG
功能描述：可以訪問結(jié)果集中的其它行而不用進(jìn)行自連接。它允許去處理游標(biāo)，就好像游標(biāo)是一個數(shù)組一樣。在給定組中可參考當(dāng)前行之前的行，這樣就可以從組中 與當(dāng)前行一起選擇以前的行。Offset是一個正整數(shù)，其默認(rèn)值為1，若索引超出窗口的范圍，就返回默認(rèn)值（默認(rèn)返回的是組中第一行），其相反的函數(shù)是 LEAD
SAMPLE：下面的例子中列prev_sal返回按hire_date排序的前1行的salary值

SELECT last_name, hire_date, salary,
LAG(salary, 1, 0) OVER (ORDER BY hire_date) AS prev_sal
FROM employees
WHERE job_id = 'PU_CLERK';

LAST_NAME HIRE_DATE SALARY PREV_SAL
------------------------- ---------- ---------- ----------
Khoo 18-5月 -95 3100 0
Tobias 24-7月 -97 2800 3100
Baida 24-12月-97 2900 2800
Himuro 15-11月-98 2600 2900
Colmenares 10-8月 -99 2500 2600

80。LAST
功能描述：從DENSE_RANK返回的集合中取出排在最后面的一個值的行（可能多行，因為值可能相等），因此完整的語法需要在開始處加上一個集合函數(shù)以從中取出記錄
SAMPLE：下面例子中DENSE_RANK按部門分區(qū)，再按傭金commission_pct排序，F(xiàn)IRST取出傭金最低的對應(yīng)的所有行，然后前面 的MAX函數(shù)從這個集合中取出薪水最低的值；LAST取出傭金最高的對應(yīng)的所有行，然后前面的MIN函數(shù)從這個集合中取出薪水最高的值
SELECT last_name, department_id, salary,
MIN(salary) KEEP (DENSE_RANK FIRST ORDER BY commission_pct)
OVER (PARTITION BY department_id) "Worst",
MAX(salary) KEEP (DENSE_RANK LAST ORDER BY commission_pct)
OVER (PARTITION BY department_id) "Best"
FROM employees
WHERE department_id in (20,80)
ORDER BY department_id, salary;

LAST_NAME DEPARTMENT_ID SALARY Worst Best
------------------------- ------------- ---------- ---------- ----------
Fay 20 6000 6000 13000
Hartstein 20 13000 6000 13000
Kumar 80 6100 6100 14000
Banda 80 6200 6100 14000
Johnson 80 6200 6100 14000
Ande 80 6400 6100 14000
Lee 80 6800 6100 14000
Tuvault 80 7000 6100 14000
Sewall 80 7000 6100 14000
Marvins 80 7200 6100 14000
Bates 80 7300 6100 14000
.
81。LAST_VALUE
功能描述：返回組中數(shù)據(jù)窗口的最后一個值。
SAMPLE：下面例子計算按部門分區(qū)按薪水排序的數(shù)據(jù)窗口的最后一個值對應(yīng)的名字，如果薪水的最后一個值有多個，則從多個對應(yīng)的名字中取缺省排序的最后一個名字
SELECT department_id, last_name, salary, LAST_VALUE(last_name)
OVER(PARTITION BY department_id ORDER BY salary) AS highest_sal
FROM employees
WHERE department_id in(20,30);

DEPARTMENT_ID LAST_NAME SALARY HIGHEST_SAL
------------- ------------------------- ---------- ------------
20 Fay 6000 Fay
20 Hartstein 13000 Hartstein
30 Colmenares 2500 Colmenares
30 Himuro 2600 Himuro
30 Tobias 2800 Tobias
30 Baida 2900 Baida
30 Khoo 3100 Khoo
30 Raphaely 11000 Raphaely

82。LEAD
功能描述：LEAD與LAG相反，LEAD可以訪問組中當(dāng)前行之后的行。Offset是一個正整數(shù)，其默認(rèn)值為1，若索引超出窗口的范圍，就返回默認(rèn)值（默認(rèn)返回的是組中第一行）
SAMPLE：下面的例子中每行的"NextHired"返回按hire_date排序的下一行的hire_date值

SELECT last_name, hire_date,
LEAD(hire_date, 1) OVER (ORDER BY hire_date) AS "NextHired"
FROM employees WHERE department_id = 30;

LAST_NAME HIRE_DATE NextHired
------------------------- --------- ---------
Raphaely 07-DEC-94 18-MAY-95
Khoo 18-MAY-95 24-JUL-97
Tobias 24-JUL-97 24-DEC-97
Baida 24-DEC-97 15-NOV-98
Himuro 15-NOV-98 10-AUG-99
Colmenares 10-AUG-99

83。MAX
功能描述：在一個組中的數(shù)據(jù)窗口中查找表達(dá)式的最大值。
SAMPLE：下面例子中dept_max返回當(dāng)前行所在部門的最大薪水值

SELECT department_id, last_name, salary,
MAX(salary) OVER (PARTITION BY department_id) AS dept_max
FROM employees WHERE department_id in (10,20,30);

DEPARTMENT_ID LAST_NAME SALARY DEPT_MAX
------------- ------------------------- ---------- ----------
10 Whalen 4400 4400
20 Hartstein 13000 13000
20 Fay 6000 13000
30 Raphaely 11000 11000
30 Khoo 3100 11000
30 Baida 2900 11000
30 Tobias 2800 11000
30 Himuro 2600 11000
30 Colmenares 2500 11000

84。MIN
功能描述：在一個組中的數(shù)據(jù)窗口中查找表達(dá)式的最小值。
SAMPLE：下面例子中dept_min返回當(dāng)前行所在部門的最小薪水值

SELECT department_id, last_name, salary,
MIN(salary) OVER (PARTITION BY department_id) AS dept_min
FROM employees WHERE department_id in (10,20,30);

DEPARTMENT_ID LAST_NAME SALARY DEPT_MIN
------------- ------------------------- ---------- ----------
10 Whalen 4400 4400
20 Hartstein 13000 6000
20 Fay 6000 6000
30 Raphaely 11000 2500
30 Khoo 3100 2500
30 Baida 2900 2500
30 Tobias 2800 2500
30 Himuro 2600 2500
30 Colmenares 2500 2500

85。NTILE
功能描述：將一個組分為"表達(dá)式"的散列表示，例如，如果表達(dá)式=4，則給組中的每一行分配一個數(shù)（從1到4），如果組中有20行，則給前5行分配1，給 下5行分配2等等。如果組的基數(shù)不能由表達(dá)式值平均分開，則對這些行進(jìn)行分配時，組中就沒有任何percentile的行數(shù)比其它percentile的 行數(shù)超過一行，最低的percentile是那些擁有額外行的percentile。例如，若表達(dá)式=4，行數(shù)=21，則percentile=1的有5 行，percentile=2的有5行等等。
SAMPLE：下例中把6行數(shù)據(jù)分為4份

SELECT last_name, salary,
NTILE(4) OVER (ORDER BY salary DESC) AS quartile FROM employees
WHERE department_id = 100;

LAST_NAME SALARY QUARTILE
------------------------- ---------- ----------
Greenberg 12000 1
Faviet 9000 1
Chen 8200 2
Urman 7800 2
Sciarra 7700 3
Popp 6900 4

86。PERCENT_RANK
功能描述：和CUME_DIST（累積分配）函數(shù)類似，對于一個組中給定的行來說，在計算那行的序號時，先減1，然后除以n-1（n為組中所有的行數(shù)）。該函數(shù)總是返回0～1（包括1）之間的數(shù)。
SAMPLE：下例中如果Khoo的salary為2900，則pr值為0.6，因為RANK函數(shù)對于等值的返回序列值是一樣的

SELECT department_id, last_name, salary,
PERCENT_RANK()
OVER (PARTITION BY department_id ORDER BY salary) AS pr
FROM employees
WHERE department_id < 50
ORDER BY department_id,salary;

DEPARTMENT_ID LAST_NAME SALARY PR
------------- ------------------------- ---------- ----------
10 Whalen 4400 0
20 Fay 6000 0
20 Hartstein 13000 1
30 Colmenares 2500 0
30 Himuro 2600 0.2
30 Tobias 2800 0.4
30 Baida 2900 0.6
30 Khoo 3100 0.8
30 Raphaely 11000 1
40 Mavris 6500 0

87。PERCENTILE_CONT
功能描述：返回一個與輸入的分布百分比值相對應(yīng)的數(shù)據(jù)值，分布百分比的計算方法見函數(shù)PERCENT_RANK，如果沒有正好對應(yīng)的數(shù)據(jù)值，就通過下面算法來得到值：
RN = 1+ (P*(N-1)) 其中P是輸入的分布百分比值，N是組內(nèi)的行數(shù)
CRN = CEIL(RN) FRN = FLOOR(RN)
if (CRN = FRN = RN) then
(value of expression from row at RN)
else
(CRN - RN) * (value of expression for row at FRN) +
(RN - FRN) * (value of expression for row at CRN)
注意：本函數(shù)與PERCENTILE_DISC的區(qū)別在找不到對應(yīng)的分布值時返回的替代值的計算方法不同

SAMPLE：在下例中，對于部門60的Percentile_Cont值計算如下：
P=0.7 N=5 RN =1+ (P*(N-1)=1+(0.7*(5-1))=3.8 CRN = CEIL(3.8)=4
FRN = FLOOR(3.8)=3
（4 - 3.8）* 4800 + (3.8 - 3) * 6000 = 5760

SELECT last_name, salary, department_id,
PERCENTILE_CONT(0.7) WITHIN GROUP (ORDER BY salary)
OVER (PARTITION BY department_id) "Percentile_Cont",
PERCENT_RANK()
OVER (PARTITION BY department_id ORDER BY salary) "Percent_Rank"
FROM employees WHERE department_id IN (30, 60);

LAST_NAME SALARY DEPARTMENT_ID Percentile_Cont Percent_Rank
------------------------- ---------- ------------- --------------- ------------
Colmenares 2500 30 3000 0
Himuro 2600 30 3000 0.2
Tobias 2800 30 3000 0.4
Baida 2900 30 3000 0.6
Khoo 3100 30 3000 0.8
Raphaely 11000 30 3000 1
Lorentz 4200 60 5760 0
Austin 4800 60 5760 0.25
Pataballa 4800 60 5760 0.25
Ernst 6000 60 5760 0.75
Hunold 9000 60 5760 1

88。PERCENTILE_DISC
功能描述：返回一個與輸入的分布百分比值相對應(yīng)的數(shù)據(jù)值，分布百分比的計算方法見函數(shù)CUME_DIST，如果沒有正好對應(yīng)的數(shù)據(jù)值，就取大于該分布值的下一個值。
注意：本函數(shù)與PERCENTILE_CONT的區(qū)別在找不到對應(yīng)的分布值時返回的替代值的計算方法不同

SAMPLE：下例中0.7的分布值在部門30中沒有對應(yīng)的Cume_Dist值，所以就取下一個分布值0.83333333所對應(yīng)的SALARY來替代

SELECT last_name, salary, department_id,
PERCENTILE_DISC(0.7) WITHIN GROUP (ORDER BY salary )
OVER (PARTITION BY department_id) "Percentile_Disc",
CUME_DIST() OVER (PARTITION BY department_id ORDER BY salary) "Cume_Dist"
FROM employees
WHERE department_id in (30, 60);

LAST_NAME SALARY DEPARTMENT_ID Percentile_Disc Cume_Dist
------------------------- ---------- ------------- --------------- ----------
Colmenares 2500 30 3100 .166666667
Himuro 2600 30 3100 .333333333
Tobias 2800 30 3100 .5
Baida 2900 30 3100 .666666667
Khoo 3100 30 3100 .833333333
Raphaely 11000 30 3100 1
Lorentz 4200 60 6000 .2
Austin 4800 60 6000 .6
Pataballa 4800 60 6000 .6
Ernst 6000 60 6000 .8
Hunold 9000 60 6000 1

89。RANK
功能描述：根據(jù)ORDER BY子句中表達(dá)式的值，從查詢返回的每一行，計算它們與其它行的相對位置。組內(nèi)的數(shù)據(jù)按ORDER BY子句排序，
然后給每一行賦一個號，從而形成一個序列，該序列從1開始，往后累加。每次ORDER BY表達(dá)式的值發(fā)生變化時，該序列也隨之增加。
有同樣值的行得到同樣的數(shù)字序號（認(rèn)為null時相等的）。然而，如果兩行的確得到同樣的排序，則序數(shù)將隨后跳躍。若兩行序數(shù)為1，
則沒有序數(shù)2，序列將給組中的下一行分配值3，DENSE_RANK則沒有任何跳躍。
SAMPLE：下例中計算每個員工按部門分區(qū)再按薪水排序，依次出現(xiàn)的序列號（注意與DENSE_RANK函數(shù)的區(qū)別）

SELECT d.department_id , e.last_name, e.salary, RANK()
OVER (PARTITION BY e.department_id ORDER BY e.salary) as drank
FROM employees e, departments d
WHERE e.department_id = d.department_id
AND d.department_id IN ('60', '90');

DEPARTMENT_ID LAST_NAME SALARY DRANK
------------- ------------------------- ---------- ----------
60 Lorentz 4200 1
60 Austin 4800 2
60 Pataballa 4800 2
60 Ernst 6000 4
60 Hunold 9000 5
90 Kochhar 17000 1
90 De Haan 17000 1
90 King 24000 3

90。RATIO_TO_REPORT
功能描述：該函數(shù)計算expression/(sum(expression))的值，它給出相對于總數(shù)的百分比，即當(dāng)前行對sum(expression)的貢獻(xiàn)。
SAMPLE：下例計算每個員工的工資占該類員工總工資的百分比

SELECT last_name, salary, RATIO_TO_REPORT(salary) OVER () AS rr
FROM employees
WHERE job_id = 'PU_CLERK';

LAST_NAME SALARY RR
------------------------- ---------- ----------
Khoo 3100 .223021583
Baida 2900 .208633094
Tobias 2800 .201438849
Himuro 2600 .18705036
Colmenares 2500 .179856115

91。REGR_ (Linear Regression) Functions
功能描述：這些線性回歸函數(shù)適合最小二乘法回歸線，有9個不同的回歸函數(shù)可使用。
REGR_SLOPE：返回斜率，等于COVAR_POP(expr1, expr2) / VAR_POP(expr2)
REGR_INTERCEPT：返回回歸線的y截距，等于
AVG(expr1) - REGR_SLOPE(expr1, expr2) * AVG(expr2)
REGR_COUNT：返回用于填充回歸線的非空數(shù)字對的數(shù)目
REGR_R2：返回回歸線的決定系數(shù)，計算式為：
If VAR_POP(expr2) = 0 then return NULL
If VAR_POP(expr1) = 0 and VAR_POP(expr2) != 0 then return 1
If VAR_POP(expr1) > 0 and VAR_POP(expr2 != 0 then
return POWER(CORR(expr1,expr),2)
REGR_AVGX：計算回歸線的自變量(expr2)的平均值，去掉了空對(expr1, expr2)后，等于AVG(expr2)
REGR_AVGY：計算回歸線的應(yīng)變量(expr1)的平均值，去掉了空對(expr1, expr2)后，等于AVG(expr1)
REGR_SXX： 返回值等于REGR_COUNT(expr1, expr2) * VAR_POP(expr2)
REGR_SYY： 返回值等于REGR_COUNT(expr1, expr2) * VAR_POP(expr1)
REGR_SXY: 返回值等于REGR_COUNT(expr1, expr2) * COVAR_POP(expr1, expr2)

（下面的例子都是在SH用戶下完成的）
SAMPLE 1：下例計算1998年最后三個星期中兩種產(chǎn)品（260和270）在周末的銷售量中已開發(fā)票數(shù)量和總數(shù)量的累積斜率和回歸線的截距

SELECT t.fiscal_month_number "Month", t.day_number_in_month "Day",
REGR_SLOPE(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_month_desc, t.day_number_in_month) AS CUM_SLOPE,
REGR_INTERCEPT(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_month_desc, t.day_number_in_month) AS CUM_ICPT
FROM sales s, times t
WHERE s.time_id = t.time_id
AND s.prod_id IN (270, 260)
AND t.fiscal_year=1998
AND t.fiscal_week_number IN (50, 51, 52)
AND t.day_number_in_week IN (6,7)
ORDER BY t.fiscal_month_desc, t.day_number_in_month;

Month Day CUM_SLOPE CUM_ICPT
---------- ---------- ---------- ----------
12 12 -68 1872
12 12 -68 1872
12 13 -20.244898 1254.36735
12 13 -20.244898 1254.36735
12 19 -18.826087 1287
12 20 62.4561404 125.28655
12 20 62.4561404 125.28655
12 20 62.4561404 125.28655
12 20 62.4561404 125.28655
12 26 67.2658228 58.9712313
12 26 67.2658228 58.9712313
12 27 37.5245541 284.958221
12 27 37.5245541 284.958221
12 27 37.5245541 284.958221

SAMPLE 2：下例計算1998年4月每天的累積交易數(shù)量

SELECT UNIQUE t.day_number_in_month,
REGR_COUNT(s.amount_sold, s.quantity_sold)
OVER (PARTITION BY t.fiscal_month_number ORDER BY t.day_number_in_month)
"Regr_Count"
FROM sales s, times t
WHERE s.time_id = t.time_id
AND t.fiscal_year = 1998 AND t.fiscal_month_number = 4;

DAY_NUMBER_IN_MONTH Regr_Count
------------------- ----------
1 825
2 1650
3 2475
4 3300
.
26 21450
30 22200

SAMPLE 3：下例計算1998年每月銷售量中已開發(fā)票數(shù)量和總數(shù)量的累積回歸線決定系數(shù)

SELECT t.fiscal_month_number,
REGR_R2(SUM(s.amount_sold), SUM(s.quantity_sold))
OVER (ORDER BY t.fiscal_month_number) "Regr_R2"
FROM sales s, times t
WHERE s.time_id = t.time_id
AND t.fiscal_year = 1998
GROUP BY t.fiscal_month_number
ORDER BY t.fiscal_month_number;

FISCAL_MONTH_NUMBER Regr_R2
------------------- ----------
1
2 1
3 .927372984
4 .807019972
5 .932745567
6 .94682861
7 .965342011
8 .955768075
9 .959542618
10 .938618575
11 .880931415
12 .882769189

SAMPLE 4：下例計算1998年12月最后兩周產(chǎn)品260的銷售量中已開發(fā)票數(shù)量和總數(shù)量的累積平均值

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_AvgY",
REGR_AVGX(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_month_desc, t.day_number_in_month)
"Regr_AvgX"
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：下例計算產(chǎn)品260和270在1998年2月周末銷售量中已開發(fā)票數(shù)量和總數(shù)量的累積REGR_SXY, REGR_SXX, and REGR_SYY統(tǒng)計值

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_sxy",
REGR_SYY(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_year, t.fiscal_month_desc) "Regr_syy",
REGR_SXX(s.amount_sold, s.quantity_sold)
OVER (ORDER BY t.fiscal_year, t.fiscal_month_desc) "Regr_sxx"
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

92。ROW_NUMBER
功能描述：返回有序組中一行的偏移量，從而可用于按特定標(biāo)準(zhǔn)排序的行號。
SAMPLE：下例返回每個員工再在每個部門中按員工號排序后的順序號

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

oracle 函數(shù)2