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Bonus Material: SQL

collection of information

structure expressed in columns

data expressed in rows

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reduces wasted space

reduces repetition of information

enforces data integrity

maximizes efficiency

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structured query language

can be used to define db

used for manipulating data

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data definition create alter drop

data manipulation insert select update delete

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It is usually a good idea to SAVE your CREATE statements in case you ever need to recreate your tables.

Use ALTER statements judiciously and only after thorough consideration. ALTER can break normalization, and have other undesired results.

Use DROP statements even more carefully. Make sure you have a good backup first.

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create database

CREATE DATABASE database_name

create table

CREATE TABLE table_name ( column1 data_type, column2 data_type, etc... );

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CREATE TABLE students ( student_id int(9), first_name varchar(30), middle_name varchar(30), last_name varchar(30), address1 varchar(40), address2 varchar(40), city varchar(35), state char(2), zip int(5), zip4 int(4) );

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DROP TABLE table_name;

DROP TABLE students;

http://xkcd.com/327/ 10

INSERT INTO table_name ( column1, column2, ... ) VALUES ( data_value1, data_value2, ... );

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INSERT INTO students ( column1, column2, ... ) VALUES ( data_value1, data_value2, ... );

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SELECT column_name(s)

FROM table_name(s)

WHERE condition(s);

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UPDATE table_name

SET column1=new_data_value1, column2=new_data_value2, ...

WHERE condition(s);

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DELETE FROM table_name

WHERE condition(s);

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