MySQL/Tutorials: Difference between revisions
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==Create Database== | ==Create Database== | ||
==Queries== | ==Queries== | ||
===Joins=== | |||
Lets create two tables to join: name and phone. | |||
mysql> SELECT * FROM name; | |||
+---------+-------+-------+ | |||
| name_id | first | last | | |||
+---------+-------+-------+ | |||
| 1 | joe | smith | | |||
| 2 | alice | jones | | |||
| 2 | fred | black | | |||
+---------+-------+-------+ | |||
mysql> SELECT * FROM phone; | |||
+-------+--------+---------+ | |||
| ph_id | number | name_id | | |||
+-------+--------+---------+ | |||
| 1 | 100 | 1 | | |||
| 2 | 101 | 1 | | |||
| 3 | 102 | 2 | | |||
| 4 | 103 | 3 | | |||
+-------+--------+---------+ | |||
mysql> SELECT name.last, phone.number FROM | |||
name join phone | |||
on | |||
name.name_id = phone.name_id; | |||
+-------+--------+ | |||
| last | number | | |||
+-------+--------+ | |||
| smith | 100 | | |||
| smith | 101 | | |||
| jones | 102 | | |||
| black | 102 | | |||
+-------+--------+ | |||
===Sub Quries=== | ===Sub Quries=== | ||
===Aggragate Functions=== | ===Aggragate Functions=== | ||
Revision as of 12:43, 12 March 2008
MySQL tutorial
Intall
Create User
Create Database
Queries
Joins
Lets create two tables to join: name and phone.
mysql> SELECT * FROM name; +---------+-------+-------+ | name_id | first | last | +---------+-------+-------+ | 1 | joe | smith | | 2 | alice | jones | | 2 | fred | black | +---------+-------+-------+ mysql> SELECT * FROM phone; +-------+--------+---------+ | ph_id | number | name_id | +-------+--------+---------+ | 1 | 100 | 1 | | 2 | 101 | 1 | | 3 | 102 | 2 | | 4 | 103 | 3 | +-------+--------+---------+ mysql> SELECT name.last, phone.number FROM name join phone on name.name_id = phone.name_id; +-------+--------+ | last | number | +-------+--------+ | smith | 100 | | smith | 101 | | jones | 102 | | black | 102 | +-------+--------+
Sub Quries
Aggragate Functions
Aggragate functions are functions that combine multiple rows into one output value. Nulls are ignored by aggragate functions unless all the input is NULL in which case the answer is NULL.
Table: Product +----+---------------+-------+ | Id | Name | Price | +----+---------------+-------+ | 1 | bread | 3.00 | | 2 | peanut_butter | 3.25 | | 3 | jam | 2.75 | +----+---------------+-------+
Sum
SELECT SUM(Price) as "Sum" FROM Product; +------+ | sum | +------+ | 9.00 | +------+
Average
SELECT AVG(Price) as "Avg" FROM Product; +------+ | Avg | +------+ | 3.00 | +------+
Min
SELECT MIN(Price) as "Min" FROM Product; +------+ | Min | +------+ | 2.75 | +------+
Max
SELECT MAX(Price) as "Max" FROM Product; +------+ | Max | +------+ | 3.25 | +------+
Std
Standard Deviation SELECT STD(Price) AS "Std" FROM Product; +------+ | Std | +------+ | 0.25 | +------+
String functions
Pattern Matching
Using Like
Using RegExp
Regular expressions in SQL
Lets create a simple table.
CREATE TABLE word (name varchar(20)); INSERT into word VALUES ("people"),("places"),("things"),("ppl");
SELECT * FROM word; +--------+ | name | +--------+ | people | | places | | things | | ppl | +--------+
Look for two p's in a row.
SELECT * FROM word WHERE name RegExp "[p]{2}" +--------+ | name | +--------+ | ppl | +--------+
A "." is any character. A "+" is one or more copies of a character. A "C{n}" looks for n copies of C. Look for two p's but not next to one another.
SELECT * FROM word WHERE name RegExp "p.+p" +--------+ | name | +--------+ | people | +--------+
Exercises
Give a sql regular expression query that will select:
1) only things 2) only ppl and places 3) only people and places 4) only things and places