I SALESMAN Columns Data Constraints Grants IStatistics ITriggers IFlashback IDependendes IDetals IPartnons Indexes IsQ a X Sort. Fiter: COMMISSION ) SALARY 0.3 10000 SALESMAN ID SNAME 150 Tucker 151 Bernstein 152 Hall 1530lsen 154 Cambrault 155 Tuvault 156 King 157 Sully 158 McEwen 159 Smith 160 Doran 5001 James Hoog 5002 Nail Knife 5005 Pit Alex 5006 Mc Lyon 5003 Lauson Hense Manila 5007 Paul Adam Paris New York (null) London (null) (null) (null) (null) (null) (null) (null) New York Paris London Paris 0.25 25000 0.25 10000 0.2 15900 0.2 2 5700 0.15 5820 0.35 50000 0.35 5. 6 8450 0.35 1596 4520 0.3 10000 0.15 10000 0.13 10000 0.11 10000 0.14 45896 10 0.3 11 12 13 14 15 0.12 10000 0.13 15625 16 17 Rome Salesman SALESMAN Solumrs Deta Ceretrants lGrants IStatebie ITrigges Fiehbadk lDependencies Detals Partiors lindexes ISQL Actions. l0 DATA TYPE NUMBER (5,0) VARCHAR2 (30 BYTE) VARCHAR2 (15 BYTE) NUMBER (5, 2) NUMBER (11,2) COLUMN NAME 1 SALESMAN ID NULLABLE No Yes Yes Yes Yes 2 SNAME 3 CITY * COMMISSION 5 SALARY Structure of the salesman table Figure 7.1 Using figure 7.1, what is the SQL code to add a new salesman with an id of 5230, a name of Thomas Michael with a salary of 15600. His city is Manila. insert into salesman * values (5230,Thomas Michael, "Manila', 15600); insert into salesman (SALESMAN_ID, SALESMANNAME, city, commission, salary) values (5230;Thomas Michael, 'Manila, 15600); insert into salesman (SALESMAN_ID, SALESMANNAME, city, salary) values (5230,Thomas Michael, "Manila', 15600); None on the choices insert into salesman values (5230,Thomas Michael, 'Manila', 15600);

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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SALESMAN
Columns Data Constraints Grants IStatistics ITriogers Flashback IDependendes IDetals Partsons Indexes ISQL
* a E X Sort. Fiter:
SALESMAN ID
0 SNAME
150 Tucker
151 Bernstein
152 Hall
1530lsen
154 Cambrault
155 Tuvault
156 King
157 Sully
158 MCEwen
159 Smith
160 Doran
5001 James Hoog
5002 Nail Knife
5005 Pit Alex
5006MC Lyon
5003 Lauson Hense Manila
5007 Paul Adam
10 CITY
Paris
New York
(null)
London
(null)
(null)
(null)
(null)
(null)
(null)
(null)
New York
Paris
London
Paris
COMMISSION O SALARY
0.3 10000
0.25 25000
0.25 10000
0.2 15900
0.2
3
4.
5700
5820
5
6
0.15
0.35 50000
0.35
7
8450
0.35
1596
10
0.3
4520
0.3 10000
0.15 1000o
0.13 10000
0.11 10000
0.14 45896
0.12 10000
0.13 15625
11
12
13
14
15
16
17
Rome
Salesman
SALESMAN
Columns Data (Constraints Grants IStatistics |Triggers IFleshback IDependencies IDetails Partitions Indexes ISQL
*2 aActions..
A COLUMN NAME
I SALESMAN ID
2 SNAME
3 CITY
4 COMMISSION
5 SALARY
l0 DATA TYPE
NUMBER (5,0)
VARCHAR2 (30 BYTE)
VARCHAR2 (15 BYTE)
NUMBER (5,2)
NUMBER (11, 2)
10 NULLABLE
No
Yes
Yes
Yes
Yes
Structure of the salesman table
Figure 7.1
Using figure 7.1, what is the SQL code to add a new salesman with an id of 5230, a name of Thomas Michael with a salary of 15600. His city is Manila.
•
insert into salesman " values (5230,Thomas Michael', "Manila', 15600);
•
insert into salesman (SALESMAN_ID, SALESMANNAME, city, commission, salary) values (5230;Thomas Michael, "Manila', 15600);
insert into salesman (SALESMAN_ID, SALESMANNAME, city, salary) values (5230, Thomas Michael', "Manila', 15600);
• None on the choices
• insert into salesman values (5230, Thomas Michael, 'Manila', 15600);
Transcribed Image Text:SALESMAN Columns Data Constraints Grants IStatistics ITriogers Flashback IDependendes IDetals Partsons Indexes ISQL * a E X Sort. Fiter: SALESMAN ID 0 SNAME 150 Tucker 151 Bernstein 152 Hall 1530lsen 154 Cambrault 155 Tuvault 156 King 157 Sully 158 MCEwen 159 Smith 160 Doran 5001 James Hoog 5002 Nail Knife 5005 Pit Alex 5006MC Lyon 5003 Lauson Hense Manila 5007 Paul Adam 10 CITY Paris New York (null) London (null) (null) (null) (null) (null) (null) (null) New York Paris London Paris COMMISSION O SALARY 0.3 10000 0.25 25000 0.25 10000 0.2 15900 0.2 3 4. 5700 5820 5 6 0.15 0.35 50000 0.35 7 8450 0.35 1596 10 0.3 4520 0.3 10000 0.15 1000o 0.13 10000 0.11 10000 0.14 45896 0.12 10000 0.13 15625 11 12 13 14 15 16 17 Rome Salesman SALESMAN Columns Data (Constraints Grants IStatistics |Triggers IFleshback IDependencies IDetails Partitions Indexes ISQL *2 aActions.. A COLUMN NAME I SALESMAN ID 2 SNAME 3 CITY 4 COMMISSION 5 SALARY l0 DATA TYPE NUMBER (5,0) VARCHAR2 (30 BYTE) VARCHAR2 (15 BYTE) NUMBER (5,2) NUMBER (11, 2) 10 NULLABLE No Yes Yes Yes Yes Structure of the salesman table Figure 7.1 Using figure 7.1, what is the SQL code to add a new salesman with an id of 5230, a name of Thomas Michael with a salary of 15600. His city is Manila. • insert into salesman " values (5230,Thomas Michael', "Manila', 15600); • insert into salesman (SALESMAN_ID, SALESMANNAME, city, commission, salary) values (5230;Thomas Michael, "Manila', 15600); insert into salesman (SALESMAN_ID, SALESMANNAME, city, salary) values (5230, Thomas Michael', "Manila', 15600); • None on the choices • insert into salesman values (5230, Thomas Michael, 'Manila', 15600);
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