Oracle 分析函数详解(Analytic Functions)--示例部分
Analytic functions are commonly used in data warehousing environments. In the list of analytic functions that follows, functions followed by an asterisk (*) allow the full syntax, including the windowing_clause
.
分析函数一般用于数据仓库环境。以下是分析函数列表,其中带星号的表示支持窗口语句windowing_clause.
AVG *
CORR *
COVAR_POP *
COVAR_SAMP *
COUNT *
CUME_DIST
DENSE_RANK
FIRST
FIRST_VALUE *
LAG
LAST
LAST_VALUE *
LEAD
MAX *
MIN *
NTILE
PERCENT_RANK
PERCENTILE_CONT
PERCENTILE_DISC
RANK
RATIO_TO_REPORT
REGR_ (Linear Regression) Functions *
ROW_NUMBER
STDDEV *
STDDEV_POP *
STDDEV_SAMP *
SUM *
VAR_POP *
VAR_SAMP *
VARIANCE *
-------------------------------------------------------------------
1、AVG 为聚合函数用于求平均:
- SELECT manager_id, last_name, hire_date, salary,
- AVG(salary) OVER (PARTITION BY manager_id ORDER BY hire_date
- ROWS BETWEEN 1 PRECEDING AND 1 FOLLOWING) AS c_mavg
- FROM employees;
- MANAGER_ID LAST_NAME HIRE_DATE SALARY C_MAVG
- ---------- ------------------------- --------- ---------- ----------
- 100 Kochhar 21-SEP-89 17000 17000
- 100 De Haan 13-JAN-93 17000 15000
- 100 Raphaely 07-DEC-94 11000 11966.6667
- 100 Kaufling 01-MAY-95 7900 10633.3333
- 100 Hartstein 17-FEB-96 13000 9633.33333
- 100 Weiss 18-JUL-96 8000 11666.6667
- 100 Russell 01-OCT-96 14000 11833.3333
2、CORR 返回一对表达式的相关系数:
- SELECT employee_id, job_id,
- TO_CHAR((SYSDATE - hire_date) YEAR TO MONTH ) "Yrs-Mns", salary,
- CORR(SYSDATE-hire_date, salary)
- OVER(PARTITION BY job_id) AS "Correlation"
- FROM employees
- WHERE department_id in (50, 80)
- ORDER BY job_id, employee_id;
- EMPLOYEE_ID JOB_ID Yrs-Mns SALARY Correlation
- ----------- ---------- ------- ---------- -----------
- 145 SA_MAN +08-07 14000 .912385598
- 146 SA_MAN +08-04 13500 .912385598
- 147 SA_MAN +08-02 12000 .912385598
- 148 SA_MAN +05-07 11000 .912385598
- 149 SA_MAN +05-03 10500 .912385598
- 150 SA_REP +08-03 10000 .80436755
- 151 SA_REP +08-02 9500 .80436755
- 152 SA_REP +07-09 9000 .80436755
- 153 SA_REP +07-01 8000 .80436755
- 154 SA_REP +06-05 7500 .80436755
- 155 SA_REP +05-06 7000 .80436755
3、COVAR_POP 返回一对表达式的总体协方差;
4、COVAR_SAMP 返回一对表达式的样本协方差;
5、COUNT 返回总行数:(每行对应的数据窗口是之前行幅度值不超过50,之后行幅度值不超过150)
- SELECT last_name, salary,
- COUNT(*) OVER (ORDER BY salary RANGE BETWEEN 50 PRECEDING
- AND 150 FOLLOWING) AS mov_count FROM employees;
- LAST_NAME SALARY MOV_COUNT
- ------------------------- ---------- ----------
- Olson 2100 3
- Markle 2200 2
- Philtanker 2200 2
- Landry 2400 8
- Gee 2400 8
- Colmenares 2500 10
- Patel 2500 10
- . . .
6、dense_rank 返回排名,用于TOPN查询:
查询假设薪资15500 、佣金5%的员工在employees表中排名
- SELECT DENSE_RANK(15500, .05) WITHIN GROUP
- (ORDER BY salary DESC, commission_pct) "Dense Rank"
- FROM employees;
- Dense Rank
- -------------------
- 3
- SELECT d.department_name, 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 ('30', '40');
- DEPARTMENT_NAME LAST_NAME SALARY DRANK
- ----------------------- ------------------ ---------- ----------
- Purchasing Colmenares 2500 1
- Purchasing Himuro 2600 2
- Purchasing Tobias 2800 3
- Purchasing Baida 2900 4
- Purchasing Khoo 3100 5
- Purchasing Raphaely 11000 6
- Human Resources Marvis 6500 1
7、first 当所查字段不是排序字段时返回分组范围内最大、最小值:
- 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
- ORDER BY department_id, salary;
- LAST_NAME DEPARTMENT_ID SALARY Worst Best
- ------------------- ------------- ---------- ---------- ----------
- Whalen 10 4400 4400 4400
- Fay 20 6000 6000 13000
- Hartstein 20 13000 6000 13000
- . . .
- Gietz 110 8300 8300 12000
- Higgins 110 12000 8300 12000
- Grant 7000 7000 7000
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
ORDER BY department_id, salary;
8、fist_value 返回一组有序值中第一个值
- SELECT department_id, last_name, salary, FIRST_VALUE(last_name)
- OVER (ORDER BY salary ASC ROWS UNBOUNDED PRECEDING) AS lowest_sal
- FROM (SELECT * FROM employees WHERE department_id = 90
- ORDER BY employee_id);
- DEPARTMENT_ID LAST_NAME SALARY LOWEST_SAL
- ------------- ------------- ---------- -------------------------
- 90 Kochhar 17000 Kochhar
- 90 De Haan 17000 Kochhar
- 90 King 24000 Kochhar
9、lag与lead函数是跟偏移量相关的两个分析函数,通过这两个函数我们可以取到当前行列的偏移N行列的值 lag可以看着是正的向上的偏移 lead可以认为负的向下的偏移
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';
select deptno,
sal a,
lag(sal, 1, null) over(partition by deptno order by deptno) b
from scott.emp
SELECT last_name, hire_date,
LEAD(hire_date, 1) OVER (ORDER BY hire_date) AS "NextHired"
FROM employees WHERE department_id = 30;
10、min/max 分别用于返回分组最小值/最大值:
SELECT manager_id, last_name, salary
FROM (SELECT manager_id, last_name, salary,
MAX(salary) OVER (PARTITION BY manager_id) AS rmax_sal
FROM employees) WHERE salary = rmax_sal;
SELECT manager_id, last_name, hire_date, salary,
MIN(salary) OVER(PARTITION BY manager_id ORDER BY hire_date
RANGE UNBOUNDED PRECEDING) AS p_cmin
FROM employees;
11、rank 类似于dense_rank 区别在于其排名数字不连续
- SELECT RANK(15500) WITHIN GROUP
- (ORDER BY salary DESC) "Rank of 15500"
- FROM employees;
SELECT department_id, last_name, salary, commission_pct,
RANK() OVER (PARTITION BY department_id
ORDER BY salary DESC, commission_pct) "Rank"
FROM employees WHERE department_id = 80;
12、row_number 和rownum差不多,功能更强一点(可以在各个分组内从1开始排序)
SELECT department_id, last_name, employee_id, ROW_NUMBER()
OVER (PARTITION BY department_id ORDER BY employee_id) AS emp_id
FROM employees;
13、
RATIO_TO_REPORT 用来计算当前记录的指标expr占开窗函数over中包含记录的所有同一指标的百分比. 这里如果开窗函数的统计结果为null或者为0,就是说占用比率的被除数为0或者为null, 则得到的结果也为0
SELECT last_name, salary, RATIO_TO_REPORT(salary) OVER () AS rr
FROM employees
WHERE job_id = 'PU_CLERK';
14、SUM
SELECT manager_id, last_name, salary,
SUM(salary) OVER (PARTITION BY manager_id ORDER BY salary
RANGE UNBOUNDED PRECEDING) l_csum
FROM employees;
to be continue...
------------------------
Dylan Presents.
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Dylan Presents.
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