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Workshop - Week 8 Mysql Practical Exercise

This document provides an exercise on using SQL commands to create databases and tables, insert data, and write queries using joins. Students are instructed to: 1. Create a database called "sbrcommands" and three tables - sailors, boats, and reserves - to store information about sailors, boats, and reservations. 2. Insert test data into the three tables. 3. Write a query to find the sailor ID, boat name, and color for reservations on September 8, 1998. 4. Write a query to find the names of sailors who have reserved boat 103. 5. Write a query to find the names of sailors who have reserved a red boat. 6. Ex

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Kushal Bajracharya
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560 views3 pages

Workshop - Week 8 Mysql Practical Exercise

This document provides an exercise on using SQL commands to create databases and tables, insert data, and write queries using joins. Students are instructed to: 1. Create a database called "sbrcommands" and three tables - sailors, boats, and reserves - to store information about sailors, boats, and reservations. 2. Insert test data into the three tables. 3. Write a query to find the sailor ID, boat name, and color for reservations on September 8, 1998. 4. Write a query to find the names of sailors who have reserved boat 103. 5. Write a query to find the names of sailors who have reserved a red boat. 6. Ex

Uploaded by

Kushal Bajracharya
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Workshop – Week 8 MySQL Practical Exercise

Exercise 1
This exercise is similar to week 5. Students at this stage should be illustrated how to
create tables, alter tables, and write complex SQL queries.
Note: Use SQL commands to create the database, tables, records, and Queries.

1. Create the database sbrcommands and the following tables sailors,


boats, and reserves which are reproduced as follows:

sailors(sid: VARCHAR(2) PK, sname: VARCHAR(7), rating:


SMALLINT, age: DOUBLE
boats(bid: VARCHAR(3) PK, bname: VARCHAR (10), colour:
VARCHAR(6)
reserves(sid: VARCHAR(2) FK, bid: VARCHAR(3) FK, day: DATE)

sid sname rating age sid bid Day bid bname colour

22 Dustin 7 45.0 22 101 10/10/98 101 Interlake blue


29 Brutus 1 33.0 22 102 10/10/98 102 Interlake red
31 Lubber 8 55.5 22 103 10/8/98 103 Clipper green
32 Andy 8 25.5 22 104 10/7/98 104 Marine red
58 Rusty 10 35.0 31 102 11/10/98
64 Horatio 7 35.0 31 103 11/6/98 Boats
71 Zorba 10 16.0 31 104 11/12/98
74 Horatio 9 35.0 64 101 9/5/98
85 Art 3 25.5 64 102 9/8/98
95 Bob 3 63.5 74 103 9/8/98

Sailors Reserves

2. Enter the test data for the three tables as shown above.

INSERT INTO `sbr`.`boats`(`bid`,`bname`, `colour`) VALUES


(1,'haha','violet'),
(2,'cook','brown');

INSERT INTO `sbr`.`sailors`(`sid`,`sname`,`rating`,`age`) VALUES


(1,'ramesh','8','45'),
(55,'Homer','6','55');

INSERT INTO `sbr`.`reserves`(`sid`,`bid`,`reserve_day`)VALUES

1
(1,1,'1998-08-11'),
(2,22,'1998-01-11');

3. Formulate SQL query to find the sailor ID, boat name, and colour of those
boats reserved on 9/8/98.

SELECT sailors.sid, boats.bname, boats.colour


from sailors
JOIN reserves on sailors.sid = reserves.sid
JOIN boats on boats.bid = reserves.bid
WHERE reserves.reserve_day='1998-09-08'

4. Formulate SQL query to find the names of sailors who have reserved boat
103.
SELECT sailors.sname
from sailors
JOIN reserves on sailors.sid = reserves.sid
WHERE reserves.bid=103

2
5. Formulate SQL query to find the names of sailors who have reserved a red
boat.
SELECT sailors.sname
from sailors
JOIN reserves on sailors.sid = reserves.sid
JOIN boats on boats.bid = reserves.bid
WHERE boats.colour='red';

6. The above commands are JOIN queries. Explain the concept of join.
A join is a SQL procedure that establishes a relation between two or more
rows and columns by creating a relationship between them depending on
matched attributes. In a SQL database system, join statements are used for the
bulk of complex queries. Join is a query that retrieves data from two tables
and combines them together just to create a single collection of information.
It's being used to merge columns from two or more tables by using data that
seem to be similar between both.

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