MySQL/Tutorials: Difference between revisions
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imported>Eric Evers |
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===Aggragate Functions=== | ===Aggragate Functions=== | ||
Aggragate functions are functions that combine multiple rows | 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 | Table: Product | ||
Line 18: | Line 18: | ||
| 3 | jam | 2.75 | | | 3 | jam | 2.75 | | ||
+----+---------------+-------+ | +----+---------------+-------+ | ||
====Sum==== | ====Sum==== | ||
SELECT SUM(Price) as Sum FROM Product; | SELECT SUM(Price) as Sum FROM Product; | ||
Line 27: | Line 28: | ||
====Average==== | ====Average==== | ||
SELECT AVG(Price) FROM Product; | SELECT AVG(Price) as "Avg" FROM Product; | ||
+------+ | |||
| Avg | | |||
+------+ | |||
| 9.00 | | |||
+------+ | |||
====Min==== | ====Min==== | ||
SELECT MIN(Price) FROM Product; | SELECT MIN(Price) as "Min" FROM Product; | ||
2.75 | +------+ | ||
| Min | | |||
+------+ | |||
| 2.75 | | |||
+------+ | |||
====Max==== | ====Max==== | ||
SELECT MAX(Price) FROM Product; | SELECT MAX(Price) as "Max" FROM Product; | ||
3.25 | +------+ | ||
| Max | | |||
+------+ | |||
| 3.25 | | |||
+------+ | |||
====Std==== | ====Std==== | ||
Standard Deviation | Standard Deviation | ||
SELECT STD(Price) FROM Product; | SELECT STD(Price) AS "Std" FROM Product; | ||
0.25 | +------+ | ||
| Std | | |||
+------+ | |||
| 0.25 | | |||
+------+ | |||
===String functions=== | ===String functions=== |
Revision as of 10:04, 10 March 2008
MySQL tutorial
Intall
Create User
Create Database
Queries
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 | +------+ | 9.00 | +------+
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