Oracle PL/SQL/Analytical Functions/Cube — различия между версиями
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Версия 13:45, 26 мая 2010
Содержание
- 1 Count employees, group by CUBE(department no, job title)
- 2 CUBE clause: return rows containing a subtotal for all combinations of columns included in the CUBE clause along with a total
- 3 Cube implies reducing tables by rolling up different columns (dimensions)
- 4 Demonstrate Partial CUBE operation
- 5 group by cube
- 6 group by CUBE(department no, job title)
- 7 Grouping with Cube
- 8 The sequence of the columns passed into Cube function
- 9 Use CUBE and RANK() to get all rankings of sales by product type ID and employee ID
- 10 use GROUPING SETS to produce just a subset of CUBE
Count employees, group by CUBE(department no, job title)
SQL> create table emp
2 ( empno NUMBER(4) constraint E_PK primary key
3 , ename VARCHAR2(8)
4 , init VARCHAR2(5)
5 , job VARCHAR2(8)
6 , mgr NUMBER(4)
7 , bdate DATE
8 , sal NUMBER(6,2)
9 , comm NUMBER(6,2)
10 , deptno NUMBER(2) default 10
11 ) ;
Table created.
SQL> insert into emp values(1,"Tom","N", "TRAINER", 13,date "1965-12-17", 800 , NULL, 20);
1 row created.
SQL> insert into emp values(2,"Jack","JAM", "Tester",6,date "1961-02-20", 1600, 300, 30);
1 row created.
SQL> insert into emp values(3,"Wil","TF" , "Tester",6,date "1962-02-22", 1250, 500, 30);
1 row created.
SQL> insert into emp values(4,"Jane","JM", "Designer", 9,date "1967-04-02", 2975, NULL, 20);
1 row created.
SQL> insert into emp values(5,"Mary","P", "Tester",6,date "1956-09-28", 1250, 1400, 30);
1 row created.
SQL> insert into emp values(6,"Black","R", "Designer", 9,date "1963-11-01", 2850, NULL, 30);
1 row created.
SQL> insert into emp values(7,"Chris","AB", "Designer", 9,date "1965-06-09", 2450, NULL, 10);
1 row created.
SQL> insert into emp values(8,"Smart","SCJ", "TRAINER", 4,date "1959-11-26", 3000, NULL, 20);
1 row created.
SQL> insert into emp values(9,"Peter","CC", "Designer",NULL,date "1952-11-17", 5000, NULL, 10);
1 row created.
SQL> insert into emp values(10,"Take","JJ", "Tester",6,date "1968-09-28", 1500, 0, 30);
1 row created.
SQL> insert into emp values(11,"Ana","AA", "TRAINER", 8,date "1966-12-30", 1100, NULL, 20);
1 row created.
SQL> insert into emp values(12,"Jane","R", "Manager", 6,date "1969-12-03", 800 , NULL, 30);
1 row created.
SQL> insert into emp values(13,"Fake","MG", "TRAINER", 4,date "1959-02-13", 3000, NULL, 20);
1 row created.
SQL> insert into emp values(14,"Mike","TJA","Manager", 7,date "1962-01-23", 1300, NULL, 10);
1 row created.
SQL>
SQL> select deptno, job
2 , count(empno) headcount
3 from emp
4 group by CUBE(deptno, job);
DEPTNO JOB HEADCOUNT
---------- -------- ----------
14
Tester 4
Manager 2
TRAINER 4
Designer 4
10 3
10 Manager 1
10 Designer 2
20 5
20 TRAINER 4
20 Designer 1
30 6
30 Tester 4
30 Manager 1
30 Designer 1
15 rows selected.
SQL>
SQL>
SQL> drop table emp;
Table dropped.
CUBE clause: return rows containing a subtotal for all combinations of columns included in the CUBE clause along with a total
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_DATE END_DATE SALARY CITY DESCRIPTION
---- ---------- ---------- ----------- ----------- ---------- ---------- ---------------
01 Jason Martin 1996-JUL-25 2006-JUL-25 1234.56 Toronto Programmer
02 Alison Mathews 1976-MAR-21 1986-FEB-21 6661.78 Vancouver Tester
03 James Smith 1978-DEC-12 1990-MAR-15 6544.78 Vancouver Tester
04 Celia Rice 1982-OCT-24 1999-APR-21 2344.78 Vancouver Manager
05 Robert Black 1984-JAN-15 1998-AUG-08 2334.78 Vancouver Tester
06 Linda Green 1987-JUL-30 1996-JAN-04 4322.78 New York Tester
07 David Larry 1990-DEC-31 1998-FEB-12 7897.78 New York Manager
08 James Cat 1996-SEP-17 2002-APR-15 1232.78 Vancouver Tester
8 rows selected.
SQL>
SQL>
SQL> --CUBE clause: return rows containing a subtotal for all combinations of columns included in the CUBE clause along with a total.
SQL>
SQL> SELECT city, description, SUM(salary)
2 FROM employee
3 GROUP BY CUBE(city, description);
CITY DESCRIPTION SUM(SALARY)
---------- --------------- -----------
32574.02
Tester 21096.9
Manager 10242.56
Programmer 1234.56
Toronto 1234.56
Toronto Programmer 1234.56
New York 12220.56
New York Tester 4322.78
New York Manager 7897.78
Vancouver 19118.9
Vancouver Tester 16774.12
Vancouver Manager 2344.78
12 rows selected.
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee
2 /
Table dropped.
SQL>
SQL>
Cube implies reducing tables by rolling up different columns (dimensions)
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>
SQL> -- The warehousing cube concept implies reducing tables by rolling up different columns (dimensions).
SQL>
SQL> SELECT ROW_NUMBER() OVER(ORDER BY city, description) rn,
2 count(*), city, description
3 FROM employee
4 GROUP BY CUBE(city, description);
RN COUNT(*) CITY DESCRIPTION
---------- ---------- ---------- ---------------
1 1 New York Manager
2 1 New York Tester
3 2 New York
4 1 Toronto Programmer
5 1 Toronto
6 1 Vancouver Manager
7 4 Vancouver Tester
8 5 Vancouver
9 2 Manager
10 1 Programmer
11 5 Tester
12 8
12 rows selected.
SQL>
SQL> -- clean the table
SQL> drop table Employee
2 /
Table dropped.
SQL>
SQL>
SQL>
Demonstrate Partial CUBE operation
SQL>
SQL>
SQL>
SQL> create table ord(
2 order_no integer primary key
3 ,cust_no integer
4 ,order_date date not null
5 ,total_order_price number(7,2)
6 ,deliver_date date
7 ,deliver_time varchar2(7)
8 ,payment_method varchar2(2)
9 ,emp_no number(3,0)
10 ,deliver_name varchar2(35)
11 ,gift_message varchar2(100)
12 );
Table created.
SQL>
SQL>
SQL> insert into ord(order_no,cust_no,order_date,total_order_price,deliver_date,deliver_time,payment_method,emp_no,deliver_name,gift_message)
2 values(1,1,"14-Feb-2002", 23.00, "14-Feb-2002", "12 noon", "CA",1, null, "Gift for wife");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time ,payment_method ,emp_no,deliver_name ,gift_message )
2 values(2,1,"14-Feb-2003", 510.98, "14-feb-2003", "5 pm", "NY",7, "Rose Ted", "Happy Valentines Day to Mother");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(3, 2,"14-Feb-2004", 315.99, "14-feb-2004", "3 pm", "VS",2, "Ani Forest", "Happy Valentines Day to Father");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(4, 2,"14-Feb-1999", 191.95, "14-feb-1999", "2 pm", "NJ",2, "O. John", "Happy Valentines Day");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(5, 6,"4-mar-2002", 101.95, "5-mar-2002", "2:30 pm", "MO" , 2, "Cora", "Happy Birthday from John");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(6, 9,"7-apr-2003", 221.95, "7-apr-2003", "3 pm", "MA", 2, "Sake Keith", "Happy Birthday from Joe" );
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(7, 9,"20-jun-2004", 315.95, "21-jun-2004", "12 noon", "BC", 2, "Jessica Li", "Happy Birthday from Jessica");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values (8, 12, "31-dec-1999", 135.95, "1-jan-2000", "12 noon", "DI", 3, "Larry", "Happy New Year from Lawrence");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values (9, 12, "26-dec-2003", 715.95, "2-jan-2004", "12 noon", "SK",7, "Did", "Happy Birthday from Nancy" );
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(10, 4, sysdate-1, 119.95, sysdate+2, "6:30 pm", "VG",2, "P. Jing", "Happy Valentines Day to Jason");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(11, 2, sysdate, 310.00, sysdate+2, "3:30 pm", "DC",2, "C. Late", "Happy Birthday Day to Jack");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message)
2 values(12, 7, sysdate-3, 121.95, sysdate-2, "1:30 pm", "AC",2, "W. Last", "Happy Birthday Day to You");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message)
2 values(13, 7, sysdate, 211.95, sysdate-4, "4:30 pm", "CA",2, "J. Bond", "Thanks for hard working");
1 row created.
SQL>
SQL> select * from ord;
ORDER_NO CUST_NO ORDER_DATE TOTAL_ORDER_PRICE
---------- ---------- -------------------- -----------------
DELIVER_DATE DELIVER PA EMP_NO
-------------------- ------- -- ----------
DELIVER_NAME
-----------------------------------
GIFT_MESSAGE
------------------------------------------------------------------------
1 1 14-FEB-2002 00:00:00 23
14-FEB-2002 00:00:00 12 noon CA 1
Gift for wife
2 1 14-FEB-2003 00:00:00 510.98
14-FEB-2003 00:00:00 5 pm NY 7
Rose Ted
Happy Valentines Day to Mother
3 2 14-FEB-2004 00:00:00 315.99
14-FEB-2004 00:00:00 3 pm VS 2
Ani Forest
Happy Valentines Day to Father
4 2 14-FEB-1999 00:00:00 191.95
14-FEB-1999 00:00:00 2 pm NJ 2
O. John
Happy Valentines Day
5 6 04-MAR-2002 00:00:00 101.95
05-MAR-2002 00:00:00 2:30 pm MO 2
Cora
Happy Birthday from John
6 9 07-APR-2003 00:00:00 221.95
07-APR-2003 00:00:00 3 pm MA 2
Sake Keith
Happy Birthday from Joe
7 9 20-JUN-2004 00:00:00 315.95
21-JUN-2004 00:00:00 12 noon BC 2
Jessica Li
Happy Birthday from Jessica
8 12 31-DEC-1999 00:00:00 135.95
01-JAN-2000 00:00:00 12 noon DI 3
Larry
Happy New Year from Lawrence
9 12 26-DEC-2003 00:00:00 715.95
02-JAN-2004 00:00:00 12 noon SK 7
Did
Happy Birthday from Nancy
10 4 15-JUN-2008 17:34:55 119.95
18-JUN-2008 17:34:55 6:30 pm VG 2
P. Jing
Happy Valentines Day to Jason
11 2 16-JUN-2008 17:34:55 310
18-JUN-2008 17:34:55 3:30 pm DC 2
C. Late
Happy Birthday Day to Jack
12 7 13-JUN-2008 17:34:56 121.95
14-JUN-2008 17:34:56 1:30 pm AC 2
W. Last
Happy Birthday Day to You
13 7 16-JUN-2008 17:34:57 211.95
12-JUN-2008 17:34:57 4:30 pm CA 2
J. Bond
Thanks for hard working
13 rows selected.
SQL>
SQL> SELECT cust_no, payment_method,
2 to_char(
3 sum(total_order_price),
4 "999.99") AS sales
5 FROM ord
6 WHERE cust_no IN (2,12)
7 GROUP BY cust_no, CUBE (payment_method)
8 ORDER BY cust_no
9 /
CUST_NO PA SALES
---------- -- -------
2 DC 310.00
2 NJ 191.95
2 VS 315.99
2 817.94
12 DI 135.95
12 SK 715.95
12 851.90
7 rows selected.
SQL>
SQL> drop table ord;
Table dropped.
SQL> --
group by cube
SQL> create table student (
2 student_id number primary key,
3 student_name varchar2(25),
4 student_year varchar2(15),
5 student_major varchar2(25) );
Table created.
SQL>
SQL> create table class (
2 class_id number primary key,
3 class_desc varchar2(35),
4 credit_hrs number(2) );
Table created.
SQL>
SQL> create table grades (
2 student_id number,
3 class_id number,
4 assignment_desc varchar2(200),
5 grade_received number(3) );
Table created.
SQL>
SQL> insert into student values (1,"Tom","First","Art");
1 row created.
SQL> insert into student values (2,"Jack","First","Med");
1 row created.
SQL> insert into student values (3,"Peter","First","History");
1 row created.
SQL> insert into student values (4,"Jason","First","Science");
1 row created.
SQL> insert into student values (5,"Joe","Second","Education");
1 row created.
SQL> insert into student values (6,"Cat","Second","Finance");
1 row created.
SQL> insert into student values (7,"Sill","Second","Art");
1 row created.
SQL> insert into student values (8,"Bill","Second","Med");
1 row created.
SQL> insert into student values (9,"Mary","Third","History");
1 row created.
SQL>
SQL> insert into class values (1,"Public Speaking 101",3);
1 row created.
SQL> insert into class values (2,"English 101",3);
1 row created.
SQL> insert into class values (3,"English 201",3);
1 row created.
SQL> insert into class values (4,"English 301",3);
1 row created.
SQL> insert into class values (5,"English 401",3);
1 row created.
SQL> insert into class values (6,"Marketing 101",3);
1 row created.
SQL> insert into class values (7,"Child Development 101",3);
1 row created.
SQL> insert into class values (8,"Golf for Novices",2);
1 row created.
SQL> insert into class values (9,"Biology 101",4);
1 row created.
SQL>
SQL> insert into grades values (1,1,"Exam 1",94);
1 row created.
SQL> insert into grades values (7,1,"Exam 1",88);
1 row created.
SQL> insert into grades values (4,1,"Exam 1",85);
1 row created.
SQL> insert into grades values (1,1,"Exam 2",87);
1 row created.
SQL> insert into grades values (7,1,"Exam 2",89);
1 row created.
SQL> insert into grades values (4,1,"Exam 2",91);
1 row created.
SQL> insert into grades values (1,1,"Paper 1",90);
1 row created.
SQL> insert into grades values (7,1,"Paper 1",82);
1 row created.
SQL>
SQL> select c.class_desc as class, s.student_name as student, avg(g.grade_received) as grade_avg,
2 grouping(c.class_desc) as class_ind, grouping(s.student_name) as stud_ind
3 from class c, student s, grades g
4 where c.class_id = g.class_id
5 and s.student_id = g.student_id
6 group by cube (c.class_desc, s.student_name) ;
CLASS STUDENT GRADE_AVG CLASS_IND STUD_IND
------------------------- ------------------------------ --------- ---------- ----------
88.25 1 1
Tom 90.33 1 0
Sill 86.33 1 0
Jason 88.00 1 0
Public Speaking 101 88.25 0 1
Public Speaking 101 Tom 90.33 0 0
Public Speaking 101 Sill 86.33 0 0
Public Speaking 101 Jason 88.00 0 0
8 rows selected.
SQL>
SQL>
SQL> drop table class;
Table dropped.
SQL> drop table student;
Table dropped.
SQL> drop table grades;
Table dropped.
group by CUBE(department no, job title)
SQL> create table emp
2 ( empno NUMBER(4) constraint E_PK primary key
3 , ename VARCHAR2(8)
4 , init VARCHAR2(5)
5 , job VARCHAR2(8)
6 , mgr NUMBER(4)
7 , bdate DATE
8 , sal NUMBER(6,2)
9 , comm NUMBER(6,2)
10 , deptno NUMBER(2) default 10
11 ) ;
Table created.
SQL> insert into emp values(1,"Tom","N", "TRAINER", 13,date "1965-12-17", 800 , NULL, 20);
1 row created.
SQL> insert into emp values(2,"Jack","JAM", "Tester",6,date "1961-02-20", 1600, 300, 30);
1 row created.
SQL> insert into emp values(3,"Wil","TF" , "Tester",6,date "1962-02-22", 1250, 500, 30);
1 row created.
SQL> insert into emp values(4,"Jane","JM", "Designer", 9,date "1967-04-02", 2975, NULL, 20);
1 row created.
SQL> insert into emp values(5,"Mary","P", "Tester",6,date "1956-09-28", 1250, 1400, 30);
1 row created.
SQL> insert into emp values(6,"Black","R", "Designer", 9,date "1963-11-01", 2850, NULL, 30);
1 row created.
SQL> insert into emp values(7,"Chris","AB", "Designer", 9,date "1965-06-09", 2450, NULL, 10);
1 row created.
SQL> insert into emp values(8,"Smart","SCJ", "TRAINER", 4,date "1959-11-26", 3000, NULL, 20);
1 row created.
SQL> insert into emp values(9,"Peter","CC", "Designer",NULL,date "1952-11-17", 5000, NULL, 10);
1 row created.
SQL> insert into emp values(10,"Take","JJ", "Tester",6,date "1968-09-28", 1500, 0, 30);
1 row created.
SQL> insert into emp values(11,"Ana","AA", "TRAINER", 8,date "1966-12-30", 1100, NULL, 20);
1 row created.
SQL> insert into emp values(12,"Jane","R", "Manager", 6,date "1969-12-03", 800 , NULL, 30);
1 row created.
SQL> insert into emp values(13,"Fake","MG", "TRAINER", 4,date "1959-02-13", 3000, NULL, 20);
1 row created.
SQL> insert into emp values(14,"Mike","TJA","Manager", 7,date "1962-01-23", 1300, NULL, 10);
1 row created.
SQL>
SQL> select deptno, job
2 , grouping_id(deptno, job) gid
3 from emp
4 group by CUBE(deptno, job);
DEPTNO JOB GID
---------- -------- ----------
3
Tester 2
Manager 2
TRAINER 2
Designer 2
10 1
10 Manager 0
10 Designer 0
20 1
20 TRAINER 0
20 Designer 0
30 1
30 Tester 0
30 Manager 0
30 Designer 0
15 rows selected.
SQL>
SQL>
SQL>
SQL> drop table emp;
Table dropped.
SQL>
Grouping with Cube
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> -- Grouping with Rollup and Cube
SQL>
SQL>
SQL> SELECT ROW_NUMBER() OVER(ORDER BY city, description) rn,
2 count(*), city, description,
3 GROUPING(city),
4 GROUPING (description)
5 FROM employee
6 GROUP BY CUBE(city, description);
RN COUNT(*) CITY DESCRIPTION GROUPING(CITY) GROUPING(DESCRIPTION)
---------- ---------- ---------- --------------- -------------- ---------------------
1 1 New York Manager 0 0
2 1 New York Tester 0 0
3 2 New York 0 1
4 1 Toronto Programmer 0 0
5 1 Toronto 0 1
6 1 Vancouver Manager 0 0
7 4 Vancouver Tester 0 0
8 5 Vancouver 0 1
9 2 Manager 1 0
10 1 Programmer 1 0
11 5 Tester 1 0
12 8 1 1
12 rows selected.
SQL>
SQL> -- clean the table
SQL> drop table Employee
2 /
Table dropped.
SQL>
SQL>
The sequence of the columns passed into Cube function
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_DATE END_DATE SALARY CITY DESCRIPTION
---- ---------- ---------- ----------- ----------- ---------- ---------- ---------------
01 Jason Martin 1996-JUL-25 2006-JUL-25 1234.56 Toronto Programmer
02 Alison Mathews 1976-MAR-21 1986-FEB-21 6661.78 Vancouver Tester
03 James Smith 1978-DEC-12 1990-MAR-15 6544.78 Vancouver Tester
04 Celia Rice 1982-OCT-24 1999-APR-21 2344.78 Vancouver Manager
05 Robert Black 1984-JAN-15 1998-AUG-08 2334.78 Vancouver Tester
06 Linda Green 1987-JUL-30 1996-JAN-04 4322.78 New York Tester
07 David Larry 1990-DEC-31 1998-FEB-12 7897.78 New York Manager
08 James Cat 1996-SEP-17 2002-APR-15 1232.78 Vancouver Tester
8 rows selected.
SQL>
SQL>
SQL> SELECT description, city, SUM(salary)
2 FROM employee
3 GROUP BY CUBE(description, city);
DESCRIPTION CITY SUM(SALARY)
--------------- ---------- -----------
32574.02
Toronto 1234.56
New York 12220.56
Vancouver 19118.9
Tester 21096.9
Tester New York 4322.78
Tester Vancouver 16774.12
Manager 10242.56
Manager New York 7897.78
Manager Vancouver 2344.78
Programmer 1234.56
Programmer Toronto 1234.56
12 rows selected.
SQL>
SQL>
SQL> SELECT city, description, SUM(salary)
2 FROM employee
3 GROUP BY CUBE(city, description);
CITY DESCRIPTION SUM(SALARY)
---------- --------------- -----------
32574.02
Tester 21096.9
Manager 10242.56
Programmer 1234.56
Toronto 1234.56
Toronto Programmer 1234.56
New York 12220.56
New York Tester 4322.78
New York Manager 7897.78
Vancouver 19118.9
Vancouver Tester 16774.12
Vancouver Manager 2344.78
12 rows selected.
SQL>
SQL>
SQL>
SQL> -- clean the table
SQL> drop table Employee
2 /
Table dropped.
SQL>
SQL>
Use CUBE and RANK() to get all rankings of sales by product type ID and employee ID
SQL> CREATE TABLE all_sales (
2 year INTEGER,
3 month INTEGER,
4 prd_type_id INTEGER,
5 emp_id INTEGER ,
6 amount NUMBER(8, 2)
7 );
Table created.
SQL>
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,1 ,1 ,21 ,16034.84);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,2 ,1 ,21 ,15644.65);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,3 ,2 ,21 ,20167.83);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,4 ,2 ,21 ,25056.45);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,5 ,2 ,21 ,NULL);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,6 ,1 ,21 ,15564.66);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,7 ,1 ,21 ,15644.65);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,8 ,1 ,21 ,16434.82);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,9 ,1 ,21 ,19654.57);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,10 ,1 ,21 ,21764.19);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,11 ,1 ,21 ,13026.73);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2006,12 ,2 ,21 ,10034.64);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,1 ,2 ,22 ,16634.84);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,1 ,2 ,21 ,26034.84);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,2 ,1 ,21 ,12644.65);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,3 ,1 ,21 ,NULL);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,4 ,1 ,21 ,25026.45);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,5 ,1 ,21 ,17212.66);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,6 ,1 ,21 ,15564.26);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,7 ,2 ,21 ,62654.82);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,8 ,2 ,21 ,26434.82);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,9 ,2 ,21 ,15644.65);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,10 ,2 ,21 ,21264.19);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,11 ,1 ,21 ,13026.73);
1 row created.
SQL> insert into all_sales (YEAR,MONTH,PRD_TYPE_ID,EMP_ID,AMOUNT)
2 values(2005,12 ,1 ,21 ,10032.64);
1 row created.
SQL>
SQL> select * from all_sales;
YEAR MONTH PRD_TYPE_ID EMP_ID AMOUNT
---------- ---------- ----------- ---------- ----------
2006 1 1 21 16034.84
2006 2 1 21 15644.65
2006 3 2 21 20167.83
2006 4 2 21 25056.45
2006 5 2 21
2006 6 1 21 15564.66
2006 7 1 21 15644.65
2006 8 1 21 16434.82
2006 9 1 21 19654.57
2006 10 1 21 21764.19
2006 11 1 21 13026.73
2006 12 2 21 10034.64
2005 1 2 22 16634.84
2005 1 2 21 26034.84
2005 2 1 21 12644.65
2005 3 1 21
2005 4 1 21 25026.45
2005 5 1 21 17212.66
2005 6 1 21 15564.26
2005 7 2 21 62654.82
2005 8 2 21 26434.82
2005 9 2 21 15644.65
2005 10 2 21 21264.19
2005 11 1 21 13026.73
2005 12 1 21 10032.64
25 rows selected.
SQL>
SQL> --Use CUBE and RANK() to get all rankings of sales by product type ID and employee ID
SQL>
SQL> SELECT
2 prd_type_id, emp_id, SUM(amount),
3 RANK() OVER (ORDER BY SUM(amount) DESC) AS rank
4 FROM all_sales
5 GROUP BY CUBE(prd_type_id, emp_id)
6 ORDER BY prd_type_id, emp_id;
PRD_TYPE_ID EMP_ID SUM(AMOUNT) RANK
----------- ---------- ----------- ----------
1 21 227276.5 3
1 227276.5 3
2 21 207292.24 6
2 22 16634.84 7
2 223927.08 5
21 434568.74 2
22 16634.84 7
451203.58 1
8 rows selected.
SQL>
SQL> drop table all_sales;
Table dropped.
SQL>
SQL>
use GROUPING SETS to produce just a subset of CUBE
SQL>
SQL> create table ord(
2 order_no integer primary key
3 ,cust_no integer
4 ,order_date date not null
5 ,total_order_price number(7,2)
6 ,deliver_date date
7 ,deliver_time varchar2(7)
8 ,payment_method varchar2(2)
9 ,emp_no number(3,0)
10 ,deliver_name varchar2(35)
11 ,gift_message varchar2(100)
12 );
Table created.
SQL>
SQL>
SQL> insert into ord(order_no,cust_no,order_date,total_order_price,deliver_date,deliver_time,payment_method,emp_no,deliver_name,gift_message)
2 values(1,1,"14-Feb-2002", 23.00, "14-Feb-2002", "12 noon", "CA",1, null, "Gift for wife");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time ,payment_method ,emp_no,deliver_name ,gift_message )
2 values(2,1,"14-Feb-2003", 510.98, "14-feb-2003", "5 pm", "NY",7, "Rose Ted", "Happy Valentines Day to Mother");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(3, 2,"14-Feb-2004", 315.99, "14-feb-2004", "3 pm", "VS",2, "Ani Forest", "Happy Valentines Day to Father");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(4, 2,"14-Feb-1999", 191.95, "14-feb-1999", "2 pm", "NJ",2, "O. John", "Happy Valentines Day");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(5, 6,"4-mar-2002", 101.95, "5-mar-2002", "2:30 pm", "MO" , 2, "Cora", "Happy Birthday from John");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(6, 9,"7-apr-2003", 221.95, "7-apr-2003", "3 pm", "MA", 2, "Sake Keith", "Happy Birthday from Joe" );
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(7, 9,"20-jun-2004", 315.95, "21-jun-2004", "12 noon", "BC", 2, "Jessica Li", "Happy Birthday from Jessica");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values (8, 12, "31-dec-1999", 135.95, "1-jan-2000", "12 noon", "DI", 3, "Larry", "Happy New Year from Lawrence");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values (9, 12, "26-dec-2003", 715.95, "2-jan-2004", "12 noon", "SK",7, "Did", "Happy Birthday from Nancy" );
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(10, 4, sysdate-1, 119.95, sysdate+2, "6:30 pm", "VG",2, "P. Jing", "Happy Valentines Day to Jason");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message )
2 values(11, 2, sysdate, 310.00, sysdate+2, "3:30 pm", "DC",2, "C. Late", "Happy Birthday Day to Jack");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message)
2 values(12, 7, sysdate-3, 121.95, sysdate-2, "1:30 pm", "AC",2, "W. Last", "Happy Birthday Day to You");
1 row created.
SQL> insert into ord(order_no ,cust_no ,order_date ,total_order_price ,deliver_date ,deliver_time,payment_method ,emp_no,deliver_name ,gift_message)
2 values(13, 7, sysdate, 211.95, sysdate-4, "4:30 pm", "CA",2, "J. Bond", "Thanks for hard working");
1 row created.
SQL>
SQL> select * from ord;
ORDER_NO CUST_NO ORDER_DATE TOTAL_ORDER_PRICE
---------- ---------- -------------------- -----------------
DELIVER_DATE DELIVER PA EMP_NO
-------------------- ------- -- ----------
DELIVER_NAME
-----------------------------------
GIFT_MESSAGE
------------------------------------------------------------------------
1 1 14-FEB-2002 00:00:00 23
14-FEB-2002 00:00:00 12 noon CA 1
Gift for wife
2 1 14-FEB-2003 00:00:00 510.98
14-FEB-2003 00:00:00 5 pm NY 7
Rose Ted
Happy Valentines Day to Mother
3 2 14-FEB-2004 00:00:00 315.99
14-FEB-2004 00:00:00 3 pm VS 2
Ani Forest
Happy Valentines Day to Father
4 2 14-FEB-1999 00:00:00 191.95
14-FEB-1999 00:00:00 2 pm NJ 2
O. John
Happy Valentines Day
5 6 04-MAR-2002 00:00:00 101.95
05-MAR-2002 00:00:00 2:30 pm MO 2
Cora
Happy Birthday from John
6 9 07-APR-2003 00:00:00 221.95
07-APR-2003 00:00:00 3 pm MA 2
Sake Keith
Happy Birthday from Joe
7 9 20-JUN-2004 00:00:00 315.95
21-JUN-2004 00:00:00 12 noon BC 2
Jessica Li
Happy Birthday from Jessica
8 12 31-DEC-1999 00:00:00 135.95
01-JAN-2000 00:00:00 12 noon DI 3
Larry
Happy New Year from Lawrence
9 12 26-DEC-2003 00:00:00 715.95
02-JAN-2004 00:00:00 12 noon SK 7
Did
Happy Birthday from Nancy
10 4 15-JUN-2008 17:38:59 119.95
18-JUN-2008 17:38:59 6:30 pm VG 2
P. Jing
Happy Valentines Day to Jason
11 2 16-JUN-2008 17:39:00 310
18-JUN-2008 17:39:00 3:30 pm DC 2
C. Late
Happy Birthday Day to Jack
12 7 13-JUN-2008 17:39:02 121.95
14-JUN-2008 17:39:02 1:30 pm AC 2
W. Last
Happy Birthday Day to You
13 7 16-JUN-2008 17:39:03 211.95
12-JUN-2008 17:39:03 4:30 pm CA 2
J. Bond
Thanks for hard working
13 rows selected.
SQL>
SQL> SELECT cust_no, payment_method,
2 to_char(
3 sum(total_order_price),
4 "999.99") AS sales
5 FROM ord
6 WHERE cust_no IN (2,12)
7 GROUP BY GROUPING SETS (
8 (cust_no, payment_method),
9 (payment_method)
10 )
11 ORDER BY cust_no
12 /
CUST_NO PA SALES
---------- -- -------
2 DC 310.00
2 NJ 191.95
2 VS 315.99
12 SK 715.95
12 DI 135.95
DI 135.95
VS 315.99
NJ 191.95
SK 715.95
DC 310.00
10 rows selected.
SQL>
SQL> drop table ord;
Table dropped.
SQL> --