MySQL/Tutorials: Difference between revisions
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imported>Eric Evers |
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===Sub Quries=== | ===Sub Quries=== | ||
===Aggragate Functions=== | ===Aggragate Functions=== | ||
Aggragate functions are functions that combine multiple rows in to one output value. Nulls are ignored by aggragate functions unless all the input is NULL in which case the answer is NULL. | |||
====Sum==== | |||
SELECT SUM(Price) FROM Products; | |||
====Average==== | |||
SELECT AVG(Price) FROM Products; | |||
====Min==== | |||
SELECT MIN(Price) FROM Products; | |||
====Max==== | |||
SELECT MAX(Price) FROM Products; | |||
====STD==== | |||
SELECT STD(Price) FROM Products; | |||
===String functions=== | ===String functions=== | ||
====Pattern Matching==== | ====Pattern Matching==== |
Revision as of 09:42, 10 March 2008
MySQL tutorial
Intall
Create User
Create Database
Queries
Sub Quries
Aggragate Functions
Aggragate functions are functions that combine multiple rows in to one output value. Nulls are ignored by aggragate functions unless all the input is NULL in which case the answer is NULL.
Sum
SELECT SUM(Price) FROM Products;
Average
SELECT AVG(Price) FROM Products;
Min
SELECT MIN(Price) FROM Products;
Max
SELECT MAX(Price) FROM Products;
STD
SELECT STD(Price) FROM Products;
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