Oracle PL/SQL/Analytical Functions/Analytical Functions Basics — различия между версиями
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Текущая версия на 09:55, 26 мая 2010
Содержание
- 1 Adding an Analytical Function to a Query that Contains a Join (and Other WHERE Conditions)
- 2 Adding an Analytical Function to the GROUP BY with ORDER BY Version
- 3 Changing the Final Ordering after Having Added an Analytical Function
- 4 Column alias for the analytical function is used in the final ORDER BY
- 5 Combine analytical function with count(*)
- 6 If more analytical functions are added, yet more sorting may result
- 7 More Than One Analytical Function May Be Used in a Single Statement
- 8 Nulls could also be handled with a default value using the NVL function in the analytical function
- 9 See the difference between a person"s salary and the average for his or her region
- 10 The direct application of a WHERE clause in the query is not allowed
- 11 Use an analytical function in a WHERE clause
- 12 Use multiple analytical functions
Adding an Analytical Function to a Query that Contains a Join (and Other WHERE Conditions)
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 empno Number(3) NOT NULL, -- Employee ID
3 ename VARCHAR2(10 BYTE), -- Employee Name
4 hireDate DATE, -- Date Employee Hired
5 orig_salary Number(8,2), -- Orignal Salary
6 curr_salary Number(8,2), -- Current Salary
7 region VARCHAR2(1 BYTE) -- Region where employeed
8 )
9 /
Table created.
SQL>
SQL> create table job(
2 empno Number(3) NOT NULL, -- Employee ID
3 jobtitle VARCHAR2(10 BYTE) -- Employee job title
4 )
5 /
Table created.
SQL> -- prepare data for employee table
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values (101,"Jason",to_date("19960725","YYYYMMDD"), 34000, 44000 "W")
3 /
values (101,"Jason",to_date("19960725","YYYYMMDD"), 34000, 44000 "W")
*
ERROR at line 2:
ORA-00917: missing comma
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(122,"Alison",to_date("19960321","YYYYMMDD"), 45000, 48000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(123, "James",to_date("19781212","YYYYMMDD"), 23000, 32000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(104,"Celia",to_date("19821024","YYYYMMDD"), 53000, 58000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(105,"Robert",to_date("19840115","YYYYMMDD"), 31000, 36000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(116,"Linda", to_date("19870730","YYYYMMDD"), 43000, 53000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(117,"David", to_date("19901231","YYYYMMDD"), 78000, 85000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(108,"Jode", to_date("19960917","YYYYMMDD"), 21000, 29000, "E")
3 /
1 row created.
SQL>
SQL> -- prepare data for job table
SQL>
SQL> insert into job(empno, jobtitle)
2 values(101, "Painter");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(122, "Tester");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(123, "Dediator");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(104, "Chemist");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(105, "Accountant");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(116, "Manager");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(117, "Programmer");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(108, "Developer");
1 row created.
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
Hit a key to continue
EMPNO ENAME HIREDATE ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
122 Alison 21-MAR-96 45000 48000 E
123 James 12-DEC-78 23000 32000 W
104 Celia 24-OCT-82 53000 58000 E
105 Robert 15-JAN-84 31000 36000 W
116 Linda 30-JUL-87 43000 53000 E
117 David 31-DEC-90 78000 85000 W
108 Jode 17-SEP-96 21000 29000 E
7 rows selected.
SQL> select * from job;
Hit a key to continue
EMPNO JOBTITLE
---------- ----------
101 Painter
122 Tester
123 Dediator
104 Chemist
105 Accountant
116 Manager
117 Programmer
108 Developer
8 rows selected.
SQL>
SQL>
SQL>
SQL>
SQL> -- Adding an Analytical Function to a Query that Contains a Join (and Other WHERE Conditions)
SQL>
SQL> SELECT e.empno, e.ename, j.jobtitle, e.orig_salary,
2 RANK() OVER(ORDER BY e.orig_salary desc) rankorder
3 FROM employee e, job j
4 WHERE e.orig_salary < 43000
5 AND e.empno = j.empno
6 ORDER BY orig_salary desc;
Hit a key to continue
EMPNO ENAME JOBTITLE ORIG_SALARY RANKORDER
---------- ---------- ---------- ----------- ----------
105 Robert Accountant 31000 1
123 James Dediator 23000 2
108 Jode Developer 21000 3
SQL>
SQL>
SQL>
SQL>
SQL>
SQL>
SQL> drop table job;
Table dropped.
SQL>
SQL> -- clean the table
SQL> drop table Employee;
Table dropped.
SQL>
SQL>
Adding an Analytical Function to the GROUP BY with ORDER BY Version
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 empno Number(3) NOT NULL, -- Employee ID
3 ename VARCHAR2(10 BYTE), -- Employee Name
4 hireDate DATE, -- Date Employee Hired
5 orig_salary Number(8,2), -- Orignal Salary
6 curr_salary Number(8,2), -- Current Salary
7 region VARCHAR2(1 BYTE) -- Region where employeed
8 )
9 /
Table created.
SQL>
SQL> create table job(
2 empno Number(3) NOT NULL, -- Employee ID
3 jobtitle VARCHAR2(10 BYTE) -- Employee job title
4 )
5 /
Table created.
SQL> -- prepare data for employee table
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(122,"Alison",to_date("19960321","YYYYMMDD"), 45000, 48000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(123, "James",to_date("19781212","YYYYMMDD"), 23000, 32000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(104,"Celia",to_date("19821024","YYYYMMDD"), 53000, 58000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(105,"Robert",to_date("19840115","YYYYMMDD"), 31000, 36000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(116,"Linda", to_date("19870730","YYYYMMDD"), 43000, 53000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(117,"David", to_date("19901231","YYYYMMDD"), 78000, 85000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(108,"Jode", to_date("19960917","YYYYMMDD"), 21000, 29000, "E")
3 /
1 row created.
SQL>
SQL> -- prepare data for job table
SQL>
SQL> insert into job(empno, jobtitle)
2 values(101, "Painter");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(122, "Tester");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(123, "Dediator");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(104, "Chemist");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(105, "Accountant");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(116, "Manager");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(117, "Programmer");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(108, "Developer");
1 row created.
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
Hit a key to continue
EMPNO ENAME HIREDATE ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
122 Alison 21-MAR-96 45000 48000 E
123 James 12-DEC-78 23000 32000 W
104 Celia 24-OCT-82 53000 58000 E
105 Robert 15-JAN-84 31000 36000 W
116 Linda 30-JUL-87 43000 53000 E
117 David 31-DEC-90 78000 85000 W
108 Jode 17-SEP-96 21000 29000 E
7 rows selected.
SQL> select * from job;
Hit a key to continue
EMPNO JOBTITLE
---------- ----------
101 Painter
122 Tester
123 Dediator
104 Chemist
105 Accountant
116 Manager
117 Programmer
108 Developer
8 rows selected.
SQL>
SQL> -- Adding an Analytical Function to the GROUP BY with ORDER BY Version
SQL>
SQL> -- When the analytical function RANK is added to the statement, the RANK function is applied last,
SQL> -- just before the ordering:
SQL>
SQL> SELECT j.jobtitle, COUNT(*),
2 MAX(orig_salary) maxsalary,
3 MIN(orig_salary) minsalary,
4 RANK() OVER(ORDER BY MAX(orig_salary)) rankorder
5 FROM employee e, job j
6 WHERE e.orig_salary < 43000
7 AND e.empno = j.empno
8 GROUP BY j.jobtitle
9 ORDER BY rankorder;
Hit a key to continue
JOBTITLE COUNT(*) MAXSALARY MINSALARY RANKORDER
---------- ---------- ---------- ---------- ----------
Developer 1 21000 21000 1
Dediator 1 23000 23000 2
Accountant 1 31000 31000 3
SQL>
SQL>
SQL>
SQL>
SQL> drop table job;
Table dropped.
SQL>
SQL> -- clean the table
SQL> drop table Employee;
Table dropped.
SQL>
SQL>
Changing the Final Ordering after Having Added an Analytical Function
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 empno Number(3) NOT NULL, -- Employee ID
3 ename VARCHAR2(10 BYTE), -- Employee Name
4 hireDate DATE, -- Date Employee Hired
5 orig_salary Number(8,2), -- Orignal Salary
6 curr_salary Number(8,2), -- Current Salary
7 region VARCHAR2(1 BYTE) -- Region where employeed
8 )
9 /
Table created.
SQL>
SQL> create table job(
2 empno Number(3) NOT NULL, -- Employee ID
3 jobtitle VARCHAR2(10 BYTE) -- Employee job title
4 )
5 /
Table created.
SQL> -- prepare data for employee table
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(122,"Alison",to_date("19960321","YYYYMMDD"), 45000, 48000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(123, "James",to_date("19781212","YYYYMMDD"), 23000, 32000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(104,"Celia",to_date("19821024","YYYYMMDD"), 53000, 58000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(105,"Robert",to_date("19840115","YYYYMMDD"), 31000, 36000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(116,"Linda", to_date("19870730","YYYYMMDD"), 43000, 53000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(117,"David", to_date("19901231","YYYYMMDD"), 78000, 85000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(108,"Jode", to_date("19960917","YYYYMMDD"), 21000, 29000, "E")
3 /
1 row created.
SQL>
SQL> -- prepare data for job table
SQL>
SQL> insert into job(empno, jobtitle)
2 values(101, "Painter");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(122, "Tester");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(123, "Dediator");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(104, "Chemist");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(105, "Accountant");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(116, "Manager");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(117, "Programmer");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(108, "Developer");
1 row created.
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
Hit a key to continue
EMPNO ENAME HIREDATE ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
122 Alison 21-MAR-96 45000 48000 E
123 James 12-DEC-78 23000 32000 W
104 Celia 24-OCT-82 53000 58000 E
105 Robert 15-JAN-84 31000 36000 W
116 Linda 30-JUL-87 43000 53000 E
117 David 31-DEC-90 78000 85000 W
108 Jode 17-SEP-96 21000 29000 E
7 rows selected.
SQL> select * from job;
Hit a key to continue
EMPNO JOBTITLE
---------- ----------
101 Painter
122 Tester
123 Dediator
104 Chemist
105 Accountant
116 Manager
117 Programmer
108 Developer
8 rows selected.
SQL>
SQL> -- Changing the Final Ordering after Having Added an Analytical Function
SQL>
SQL>
SQL>
SQL> SELECT j.jobtitle, COUNT(*), MAX(orig_salary) maxsalary,
2 MIN(orig_salary) minsalary,
3 RANK() OVER(ORDER BY MAX(orig_salary)) rankorder
4 FROM employee e, job j
5 WHERE e.orig_salary < 43000
6 AND e.empno = j.empno
7 GROUP BY j.jobtitle
8 ORDER BY j.jobtitle desc;
Hit a key to continue
JOBTITLE COUNT(*) MAXSALARY MINSALARY RANKORDER
---------- ---------- ---------- ---------- ----------
Developer 1 21000 21000 1
Dediator 1 23000 23000 2
Accountant 1 31000 31000 3
SQL>
SQL>
SQL>
SQL>
SQL>
SQL> drop table job;
Table dropped.
SQL>
SQL> -- clean the table
SQL> drop table Employee;
Table dropped.
SQL>
SQL>
SQL>
Column alias for the analytical function is used in the final ORDER BY
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 empno Number(3) NOT NULL, -- Employee ID
3 ename VARCHAR2(10 BYTE), -- Employee Name
4 hireDate DATE, -- Date Employee Hired
5 orig_salary Number(8,2), -- Orignal Salary
6 curr_salary Number(8,2), -- Current Salary
7 region VARCHAR2(1 BYTE) -- Region where employeed
8 )
9 /
Table created.
SQL>
SQL>
SQL> -- prepare data for employee table
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(122,"Alison",to_date("19960321","YYYYMMDD"), 45000, NULL, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(123, "James",to_date("19781212","YYYYMMDD"), 23000, 32000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(104,"Celia",to_date("19821024","YYYYMMDD"), NULL, 58000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(105,"Robert",to_date("19840115","YYYYMMDD"), 31000, NULL, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(116,"Linda", to_date("19870730","YYYYMMDD"), NULL, 53000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(117,"David", to_date("19901231","YYYYMMDD"), 78000, NULL, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(108,"Jode", to_date("19960917","YYYYMMDD"), 21000, 29000, "E")
3 /
1 row created.
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
EMPNO ENAME HIREDATE ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
122 Alison 21-MAR-96 45000 E
123 James 12-DEC-78 23000 32000 W
104 Celia 24-OCT-82 58000 E
105 Robert 15-JAN-84 31000 W
116 Linda 30-JUL-87 53000 E
117 David 31-DEC-90 78000 W
108 Jode 17-SEP-96 21000 29000 E
7 rows selected.
SQL>
SQL>
SQL> -- column alias for the analytical function is used in the final ORDER BY
SQL>
SQL> SELECT empno, ename, NVL(curr_salary,44444),
2 RANK()
3 OVER(ORDER BY NVL(curr_salary,44444) desc) salary
4 FROM employee
5 ORDER BY salary;
EMPNO ENAME NVL(CURR_SALARY,44444) SALARY
---------- ---------- ---------------------- ----------
104 Celia 58000 1
116 Linda 53000 2
122 Alison 44444 3
105 Robert 44444 3
117 David 44444 3
123 James 32000 6
108 Jode 29000 7
7 rows selected.
SQL>
SQL>
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee;
Table dropped.
SQL>
SQL>
Combine analytical function with count(*)
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 ID VARCHAR2(4 BYTE) NOT NULL,
3 First_Name VARCHAR2(10 BYTE),
4 Last_Name VARCHAR2(10 BYTE),
5 Start_Date DATE,
6 End_Date DATE,
7 Salary Number(8,2),
8 City VARCHAR2(10 BYTE),
9 Description VARCHAR2(15 BYTE)
10 )
11 /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values ("01","Jason", "Martin", to_date("19960725","YYYYMMDD"), to_date("20060725","YYYYMMDD"), 1234.56, "Toronto", "Programmer")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("02","Alison", "Mathews", to_date("19760321","YYYYMMDD"), to_date("19860221","YYYYMMDD"), 6661.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("03","James", "Smith", to_date("19781212","YYYYMMDD"), to_date("19900315","YYYYMMDD"), 6544.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("04","Celia", "Rice", to_date("19821024","YYYYMMDD"), to_date("19990421","YYYYMMDD"), 2344.78, "Vancouver","Manager")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("05","Robert", "Black", to_date("19840115","YYYYMMDD"), to_date("19980808","YYYYMMDD"), 2334.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("06","Linda", "Green", to_date("19870730","YYYYMMDD"), to_date("19960104","YYYYMMDD"), 4322.78,"New York", "Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("07","David", "Larry", to_date("19901231","YYYYMMDD"), to_date("19980212","YYYYMMDD"), 7897.78,"New York", "Manager")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("08","James", "Cat", to_date("19960917","YYYYMMDD"), to_date("20020415","YYYYMMDD"), 1232.78,"Vancouver", "Tester")
3 /
1 row created.
SQL>
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
ID FIRST_NAME LAST_NAME START_DAT END_DATE SALARY CITY DESCRIPTION
---- ---------- ---------- --------- --------- ------------------------ ---------- ---------------
01 Jason Martin 25-JUL-96 25-JUL-06 1234.56 Toronto Programmer
02 Alison Mathews 21-MAR-76 21-FEB-86 6661.78 Vancouver Tester
03 James Smith 12-DEC-78 15-MAR-90 6544.78 Vancouver Tester
04 Celia Rice 24-OCT-82 21-APR-99 2344.78 Vancouver Manager
05 Robert Black 15-JAN-84 08-AUG-98 2334.78 Vancouver Tester
06 Linda Green 30-JUL-87 04-JAN-96 4322.78 New York Tester
07 David Larry 31-DEC-90 12-FEB-98 7897.78 New York Manager
08 James Cat 17-SEP-96 15-APR-02 1232.78 Vancouver Tester
8 rows selected.
SQL>
SQL>
SQL>
SQL> select id, avg(salary), sum(salary), max(salary), count(*) from Employee group by id;
ID AVG(SALARY) SUM(SALARY) MAX(SALARY) COUNT(*)
---- ------------------------ ------------------------ ------------------------ ------------------------
04 2344.78 2344.78 2344.78 1.00
08 1232.78 1232.78 1232.78 1.00
07 7897.78 7897.78 7897.78 1.00
01 1234.56 1234.56 1234.56 1.00
02 6661.78 6661.78 6661.78 1.00
03 6544.78 6544.78 6544.78 1.00
05 2334.78 2334.78 2334.78 1.00
06 4322.78 4322.78 4322.78 1.00
8 rows selected.
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee
2 /
Table dropped.
SQL>
SQL>
If more analytical functions are added, yet more sorting may result
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 empno Number(3) NOT NULL, -- Employee ID
3 ename VARCHAR2(10 BYTE), -- Employee Name
4 hireDate DATE, -- Date Employee Hired
5 orig_salary Number(8,2), -- Orignal Salary
6 curr_salary Number(8,2), -- Current Salary
7 region VARCHAR2(1 BYTE) -- Region where employeed
8 )
9 /
Table created.
SQL>
SQL> create table job(
2 empno Number(3) NOT NULL, -- Employee ID
3 jobtitle VARCHAR2(10 BYTE) -- Employee job title
4 )
5 /
Table created.
SQL> -- prepare data for employee table
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(122,"Alison",to_date("19960321","YYYYMMDD"), 45000, 48000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(123, "James",to_date("19781212","YYYYMMDD"), 23000, 32000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(104,"Celia",to_date("19821024","YYYYMMDD"), 53000, 58000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(105,"Robert",to_date("19840115","YYYYMMDD"), 31000, 36000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(116,"Linda", to_date("19870730","YYYYMMDD"), 43000, 53000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(117,"David", to_date("19901231","YYYYMMDD"), 78000, 85000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(108,"Jode", to_date("19960917","YYYYMMDD"), 21000, 29000, "E")
3 /
1 row created.
SQL>
SQL> -- prepare data for job table
SQL>
SQL> insert into job(empno, jobtitle)
2 values(101, "Painter");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(122, "Tester");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(123, "Dediator");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(104, "Chemist");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(105, "Accountant");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(116, "Manager");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(117, "Programmer");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(108, "Developer");
1 row created.
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
Hit a key to continue
EMPNO ENAME HIREDATE ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
122 Alison 21-MAR-96 45000 48000 E
123 James 12-DEC-78 23000 32000 W
104 Celia 24-OCT-82 53000 58000 E
105 Robert 15-JAN-84 31000 36000 W
116 Linda 30-JUL-87 43000 53000 E
117 David 31-DEC-90 78000 85000 W
108 Jode 17-SEP-96 21000 29000 E
7 rows selected.
SQL> select * from job;
Hit a key to continue
EMPNO JOBTITLE
---------- ----------
101 Painter
122 Tester
123 Dediator
104 Chemist
105 Accountant
116 Manager
117 Programmer
108 Developer
8 rows selected.
SQL>
SQL>
SQL>
SQL> -- If more analytical functions are added, yet more sorting may result
SQL>
SQL> SELECT empno, ename, orig_salary, curr_salary,
2 RANK() OVER(ORDER BY orig_salary) rank,
3 DENSE_RANK() OVER(ORDER BY curr_salary) d_rank
4 FROM employee
5 WHERE orig_salary > 38000
6 ORDER BY ename;
Hit a key to continue
EMPNO ENAME ORIG_SALARY CURR_SALARY RANK D_RANK
---------- ---------- ----------- ----------- ---------- ----------
122 Alison 45000 48000 2 1
104 Celia 53000 58000 3 3
117 David 78000 85000 4 4
116 Linda 43000 53000 1 2
SQL>
SQL>
SQL> drop table job;
Table dropped.
SQL>
SQL> -- clean the table
SQL> drop table Employee;
Table dropped.
SQL>
SQL>
More Than One Analytical Function May Be Used in a Single Statement
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 empno Number(3) NOT NULL, -- Employee ID
3 ename VARCHAR2(10 BYTE), -- Employee Name
4 hireDate DATE, -- Date Employee Hired
5 orig_salary Number(8,2), -- Orignal Salary
6 curr_salary Number(8,2), -- Current Salary
7 region VARCHAR2(1 BYTE) -- Region where employeed
8 )
9 /
Table created.
SQL>
SQL> create table job(
2 empno Number(3) NOT NULL, -- Employee ID
3 jobtitle VARCHAR2(10 BYTE) -- Employee job title
4 )
5 /
Table created.
SQL> -- prepare data for employee table
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(122,"Alison",to_date("19960321","YYYYMMDD"), 45000, 48000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(123, "James",to_date("19781212","YYYYMMDD"), 23000, 32000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(104,"Celia",to_date("19821024","YYYYMMDD"), 53000, 58000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(105,"Robert",to_date("19840115","YYYYMMDD"), 31000, 36000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(116,"Linda", to_date("19870730","YYYYMMDD"), 43000, 53000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(117,"David", to_date("19901231","YYYYMMDD"), 78000, 85000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(108,"Jode", to_date("19960917","YYYYMMDD"), 21000, 29000, "E")
3 /
1 row created.
SQL>
SQL> -- prepare data for job table
SQL>
SQL> insert into job(empno, jobtitle)
2 values(101, "Painter");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(122, "Tester");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(123, "Dediator");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(104, "Chemist");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(105, "Accountant");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(116, "Manager");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(117, "Programmer");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(108, "Developer");
1 row created.
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
Hit a key to continue
EMPNO ENAME HIREDATE ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
122 Alison 21-MAR-96 45000 48000 E
123 James 12-DEC-78 23000 32000 W
104 Celia 24-OCT-82 53000 58000 E
105 Robert 15-JAN-84 31000 36000 W
116 Linda 30-JUL-87 43000 53000 E
117 David 31-DEC-90 78000 85000 W
108 Jode 17-SEP-96 21000 29000 E
7 rows selected.
SQL> select * from job;
Hit a key to continue
EMPNO JOBTITLE
---------- ----------
101 Painter
122 Tester
123 Dediator
104 Chemist
105 Accountant
116 Manager
117 Programmer
108 Developer
8 rows selected.
SQL>
SQL>
SQL> -- More Than One Analytical Function May Be Used in a Single Statement
SQL>
SQL>
SQL>
SQL> SELECT empno, ename, curr_salary,
2 ROW_NUMBER() OVER(ORDER BY curr_salary) rnum,
3 RANK() OVER(ORDER BY curr_salary) rank,
4 DENSE_RANK() OVER(ORDER BY curr_salary) drank
5 FROM employee
6 ORDER BY ename;
Hit a key to continue
EMPNO ENAME CURR_SALARY RNUM RANK DRANK
---------- ---------- ----------- ---------- ---------- ----------
122 Alison 48000 4 4 4
104 Celia 58000 6 6 6
117 David 85000 7 7 7
123 James 32000 2 2 2
108 Jode 29000 1 1 1
116 Linda 53000 5 5 5
105 Robert 36000 3 3 3
7 rows selected.
SQL>
SQL>
SQL>
SQL>
SQL> drop table job;
Table dropped.
SQL>
SQL> -- clean the table
SQL> drop table Employee;
Table dropped.
SQL>
SQL>
Nulls could also be handled with a default value using the NVL function in the analytical function
SQL> -- create demo table
SQL> create table Employee(
2 empno Number(3) NOT NULL, -- Employee ID
3 ename VARCHAR2(10 BYTE), -- Employee Name
4 hireDate DATE, -- Date Employee Hired
5 orig_salary Number(8,2), -- Orignal Salary
6 curr_salary Number(8,2), -- Current Salary
7 region VARCHAR2(1 BYTE) -- Region where employeed
8 )
9 /
Table created.
SQL>
SQL>
SQL> -- prepare data for employee table
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(122,"Alison",to_date("19960321","YYYYMMDD"), 45000, NULL, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(123, "James",to_date("19781212","YYYYMMDD"), 23000, 32000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(104,"Celia",to_date("19821024","YYYYMMDD"), NULL, 58000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(105,"Robert",to_date("19840115","YYYYMMDD"), 31000, NULL, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(116,"Linda", to_date("19870730","YYYYMMDD"), NULL, 53000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(117,"David", to_date("19901231","YYYYMMDD"), 78000, NULL, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(108,"Jode", to_date("19960917","YYYYMMDD"), 21000, 29000, "E")
3 /
1 row created.
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
EMPNO ENAME HIREDATE ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
122 Alison 21-MAR-96 45000 E
123 James 12-DEC-78 23000 32000 W
104 Celia 24-OCT-82 58000 E
105 Robert 15-JAN-84 31000 W
116 Linda 30-JUL-87 53000 E
117 David 31-DEC-90 78000 W
108 Jode 17-SEP-96 21000 29000 E
7 rows selected.
SQL>
SQL>
SQL> -- Nulls could also be handled with a default value using the NVL function in the analytical
SQL> -- function like this:
SQL>
SQL> SELECT empno, ename, NVL(curr_salary,44444),
2 RANK()
3 OVER(ORDER BY NVL(curr_salary,44444) desc NULLS LAST)
4 salary
5 FROM employee
6 ORDER BY curr_salary desc NULLS LAST;
EMPNO ENAME NVL(CURR_SALARY,44444) SALARY
---------- ---------- ---------------------- ----------
104 Celia 58000 1
116 Linda 53000 2
123 James 32000 6
108 Jode 29000 7
117 David 44444 3
122 Alison 44444 3
105 Robert 44444 3
7 rows selected.
SQL>
SQL>
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee;
Table dropped.
SQL>
SQL>
See the difference between a person"s salary and the average for his or her region
SQL> -- create demo table
SQL> create table Employee(
2 empno Number(3) NOT NULL, -- Employee ID
3 ename VARCHAR2(10 BYTE), -- Employee Name
4 hireDate DATE, -- Date Employee Hired
5 orig_salary Number(8,2), -- Orignal Salary
6 curr_salary Number(8,2), -- Current Salary
7 region VARCHAR2(1 BYTE) -- Region where employeed
8 )
9 /
Table created.
SQL>
SQL>
SQL> -- prepare data for employee table
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(122,"Alison",to_date("19960321","YYYYMMDD"), 45000, 48000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(123, "James",to_date("19781212","YYYYMMDD"), 23000, 32000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(104,"Celia",to_date("19821024","YYYYMMDD"), 53000, 58000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(105,"Robert",to_date("19840115","YYYYMMDD"), 31000, 36000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(116,"Linda", to_date("19870730","YYYYMMDD"), 43000, 53000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(117,"David", to_date("19901231","YYYYMMDD"), 78000, 85000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(108,"Jode", to_date("19960917","YYYYMMDD"), 21000, 29000, "E")
3 /
1 row created.
SQL>
SQL>
SQL> select * from employee;
EMPNO ENAME HIREDATE ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
122 Alison 21-MAR-96 45000 48000 E
123 James 12-DEC-78 23000 32000 W
104 Celia 24-OCT-82 53000 58000 E
105 Robert 15-JAN-84 31000 36000 W
116 Linda 30-JUL-87 43000 53000 E
117 David 31-DEC-90 78000 85000 W
108 Jode 17-SEP-96 21000 29000 E
7 rows selected.
SQL>
SQL> -- See the difference between a person"s salary and the average for his or her region
SQL>
SQL>
SQL>
SQL> SELECT empno, ename, region, curr_salary,
2 orig_salary,
3 ROUND(AVG(orig_salary) OVER(PARTITION BY region))
4 "Avg-group",
5 ROUND(orig_salary - AVG(orig_salary) OVER(PARTITION
6 BY region)) "Diff."
7 FROM employee
8 ORDER BY region, ename;
EMPNO ENAME R CURR_SALARY ORIG_SALARY Avg-group Diff.
---------- ---------- - ----------- ----------- ---------- ----------
122 Alison E 48000 45000 40500 4500
104 Celia E 58000 53000 40500 12500
108 Jode E 29000 21000 40500 -19500
116 Linda E 53000 43000 40500 2500
117 David W 85000 78000 44000 34000
123 James W 32000 23000 44000 -21000
105 Robert W 36000 31000 44000 -13000
7 rows selected.
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee
2 /
Table dropped.
SQL>
SQL>
SQL>
The direct application of a WHERE clause in the query is not allowed
SQL>
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 ID VARCHAR2(4 BYTE) NOT NULL,
3 First_Name VARCHAR2(20 BYTE),
4 Last_Name VARCHAR2(20 BYTE),
5 Start_Date DATE,
6 End_Date DATE,
7 Salary Number(8,2),
8 City VARCHAR2(20 BYTE),
9 Description VARCHAR2(80 BYTE)
10 )
11 /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values ("01","Jason", "Martin", to_date("19960725","YYYYMMDD"), to_date("20060725","YYYYMMDD"), 1234.56, "Toronto", "Programmer")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("02","Alison", "Mathews", to_date("19760321","YYYYMMDD"), to_date("19860221","YYYYMMDD"), 2234.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("03","James", "Smith", to_date("19781212","YYYYMMDD"), to_date("19900315","YYYYMMDD"), 2324.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("04","Celia", "Rice", to_date("19821024","YYYYMMDD"), to_date("19990421","YYYYMMDD"), 3334.78, "Vancouver","Manager")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("05","Robert", "Black", to_date("19840115","YYYYMMDD"), to_date("19980808","YYYYMMDD"), 4334.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("06","Linda", "Green", to_date("19870730","YYYYMMDD"), to_date("19960104","YYYYMMDD"), 5334.78,"New York", "Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("07","David", "Larry", to_date("19901231","YYYYMMDD"), to_date("19980212","YYYYMMDD"), 6334.78,"New York", "Manager")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("08","James", "Cat", to_date("19960917","YYYYMMDD"), to_date("20020415","YYYYMMDD"), 7334.78,"Vancouver", "Tester")
3 /
1 row created.
SQL>
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
ID FIRST_NAME LAST_NAME START_DAT END_DATE SALARY CITY DESCRIPTION
---- -------------------- -------------------- --------- --------- ---------- -------------------- --------------------------------------------------------------------------------
01 Jason Martin 25-JUL-96 25-JUL-06 1234.56 Toronto Programmer
02 Alison Mathews 21-MAR-76 21-FEB-86 2234.78 Vancouver Tester
03 James Smith 12-DEC-78 15-MAR-90 2324.78 Vancouver Tester
04 Celia Rice 24-OCT-82 21-APR-99 3334.78 Vancouver Manager
05 Robert Black 15-JAN-84 08-AUG-98 4334.78 Vancouver Tester
06 Linda Green 30-JUL-87 04-JAN-96 5334.78 New York Tester
07 David Larry 31-DEC-90 12-FEB-98 6334.78 New York Manager
08 James Cat 17-SEP-96 15-APR-02 7334.78 Vancouver Tester
8 rows selected.
SQL>
SQL>
SQL> -- the direct application of a WHERE clause in the query is not allowed:
SQL>
SQL> SELECT id, first_name, salary,
2 DENSE_RANK() OVER(ORDER BY salary desc) toprank
3 FROM employee
4 WHERE DENSE_RANK() OVER(ORDER BY salary desc) <= 5;
WHERE DENSE_RANK() OVER(ORDER BY salary desc) <= 5
*
ERROR at line 4:
ORA-30483: window functions are not allowed here
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee
2 /
Table dropped.
SQL>
SQL>
SQL>
SQL>
SQL>
Use an analytical function in a WHERE clause
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 empno Number(3) NOT NULL, -- Employee ID
3 ename VARCHAR2(10 BYTE), -- Employee Name
4 hireDate DATE, -- Date Employee Hired
5 orig_salary Number(8,2), -- Orignal Salary
6 curr_salary Number(8,2), -- Current Salary
7 region VARCHAR2(1 BYTE) -- Region where employeed
8 )
9 /
Table created.
SQL>
SQL> create table job(
2 empno Number(3) NOT NULL, -- Employee ID
3 jobtitle VARCHAR2(10 BYTE) -- Employee job title
4 )
5 /
Table created.
SQL> -- prepare data for employee table
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(122,"Alison",to_date("19960321","YYYYMMDD"), 45000, 48000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(123, "James",to_date("19781212","YYYYMMDD"), 23000, 32000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(104,"Celia",to_date("19821024","YYYYMMDD"), 53000, 58000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(105,"Robert",to_date("19840115","YYYYMMDD"), 31000, 36000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(116,"Linda", to_date("19870730","YYYYMMDD"), 43000, 53000, "E")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(117,"David", to_date("19901231","YYYYMMDD"), 78000, 85000, "W")
3 /
1 row created.
SQL> insert into Employee(empno, ename, hireDate, orig_salary, curr_salary, region)
2 values(108,"Jode", to_date("19960917","YYYYMMDD"), 21000, 29000, "E")
3 /
1 row created.
SQL>
SQL> -- prepare data for job table
SQL>
SQL> insert into job(empno, jobtitle)
2 values(101, "Painter");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(122, "Tester");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(123, "Dediator");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(104, "Chemist");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(105, "Accountant");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(116, "Manager");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(117, "Programmer");
1 row created.
SQL>
SQL> insert into job(empno, jobtitle)
2 values(108, "Developer");
1 row created.
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
Hit a key to continue
EMPNO ENAME HIREDATE ORIG_SALARY CURR_SALARY R
---------- ---------- --------- ----------- ----------- -
122 Alison 21-MAR-96 45000 48000 E
123 James 12-DEC-78 23000 32000 W
104 Celia 24-OCT-82 53000 58000 E
105 Robert 15-JAN-84 31000 36000 W
116 Linda 30-JUL-87 43000 53000 E
117 David 31-DEC-90 78000 85000 W
108 Jode 17-SEP-96 21000 29000 E
7 rows selected.
SQL> select * from job;
Hit a key to continue
EMPNO JOBTITLE
---------- ----------
101 Painter
122 Tester
123 Dediator
104 Chemist
105 Accountant
116 Manager
117 Programmer
108 Developer
8 rows selected.
SQL>
SQL>
SQL>
SQL> -- Use an analytical function in a WHERE clause
SQL>
SQL>
SQL> SELECT *
2 FROM
3 (SELECT empno, ename, orig_salary,
4 DENSE_RANK() OVER(ORDER BY orig_salary) d_rank
5 FROM employee) x
6 WHERE x.d_rank = 3;
Hit a key to continue
EMPNO ENAME ORIG_SALARY D_RANK
---------- ---------- ----------- ----------
105 Robert 31000 3
SQL>
SQL>
SQL>
SQL> drop table job;
Table dropped.
SQL>
SQL> -- clean the table
SQL> drop table Employee;
Table dropped.
SQL>
SQL>
Use multiple analytical functions
SQL>
SQL>
SQL> -- create demo table
SQL> create table Employee(
2 ID VARCHAR2(4 BYTE) NOT NULL,
3 First_Name VARCHAR2(20 BYTE),
4 Last_Name VARCHAR2(20 BYTE),
5 Start_Date DATE,
6 End_Date DATE,
7 Salary Number(8,2),
8 City VARCHAR2(20 BYTE),
9 Description VARCHAR2(80 BYTE)
10 )
11 /
Table created.
SQL>
SQL> -- prepare data
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values ("01","Jason", "Martin", to_date("19960725","YYYYMMDD"), to_date("20060725","YYYYMMDD"), 1234.56, "Toronto", "Programmer")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("02","Alison", "Mathews", to_date("19760321","YYYYMMDD"), to_date("19860221","YYYYMMDD"), 2234.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("03","James", "Smith", to_date("19781212","YYYYMMDD"), to_date("19900315","YYYYMMDD"), 2324.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("04","Celia", "Rice", to_date("19821024","YYYYMMDD"), to_date("19990421","YYYYMMDD"), 3334.78, "Vancouver","Manager")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("05","Robert", "Black", to_date("19840115","YYYYMMDD"), to_date("19980808","YYYYMMDD"), 4334.78, "Vancouver","Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("06","Linda", "Green", to_date("19870730","YYYYMMDD"), to_date("19960104","YYYYMMDD"), 5334.78,"New York", "Tester")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("07","David", "Larry", to_date("19901231","YYYYMMDD"), to_date("19980212","YYYYMMDD"), 6334.78,"New York", "Manager")
3 /
1 row created.
SQL> insert into Employee(ID, First_Name, Last_Name, Start_Date, End_Date, Salary, City, Description)
2 values("08","James", "Cat", to_date("19960917","YYYYMMDD"), to_date("20020415","YYYYMMDD"), 7334.78,"Vancouver", "Tester")
3 /
1 row created.
SQL>
SQL>
SQL>
SQL> -- display data in the table
SQL> select * from Employee
2 /
ID FIRST_NAME LAST_NAME START_DAT END_DATE SALARY CITY DESCRIPTION
---- -------------------- -------------------- --------- --------- ---------- -------------------- --------------------------------------------------------------------------------
01 Jason Martin 25-JUL-96 25-JUL-06 1234.56 Toronto Programmer
02 Alison Mathews 21-MAR-76 21-FEB-86 2234.78 Vancouver Tester
03 James Smith 12-DEC-78 15-MAR-90 2324.78 Vancouver Tester
04 Celia Rice 24-OCT-82 21-APR-99 3334.78 Vancouver Manager
05 Robert Black 15-JAN-84 08-AUG-98 4334.78 Vancouver Tester
06 Linda Green 30-JUL-87 04-JAN-96 5334.78 New York Tester
07 David Larry 31-DEC-90 12-FEB-98 6334.78 New York Manager
08 James Cat 17-SEP-96 15-APR-02 7334.78 Vancouver Tester
8 rows selected.
SQL>
SQL>
SQL> -- multiple analytical functions
SQL>
SQL> SELECT id, first_name, salary,
2 RANK() OVER(ORDER BY salary desc) toprank_orig,
3 salary,
4 RANK() OVER(ORDER BY Start_Date desc) toprank_curr
5 FROM employee
6 ORDER BY first_name;
ID FIRST_NAME SALARY TOPRANK_ORIG SALARY TOPRANK_CURR
---- -------------------- ---------- ------------ ---------- ------------
02 Alison 2234.78 7 2234.78 8
04 Celia 3334.78 5 3334.78 6
07 David 6334.78 2 6334.78 3
08 James 7334.78 1 7334.78 1
03 James 2324.78 6 2324.78 7
01 Jason 1234.56 8 1234.56 2
06 Linda 5334.78 3 5334.78 4
05 Robert 4334.78 4 4334.78 5
8 rows selected.
SQL>
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee
2 /
Table dropped.
SQL>
SQL>
SQL>
SQL>