Difference between revisions of "MySQL Schema and State"
|Line 295:||Line 295:|
=== WHERE Clauses ===
=== WHERE Clauses ===
Revision as of 21:25, 22 August 2012
MySQL is a powerful database that allows for complex logic when manipulating data. This guide is an introduction and a reference to common SQL queries for schema and state manipulation.
This guide assumes that you already have a working copy of MySQL. If you don't, read Introduction to MySQL first.
- 1 Schema
- 1.1 Databases
- 1.2 Tables
- 1.3 Keys
- 1.4 Updating Data
- 1.5 Deleting Data
- 2 Selecting Data
The schema of your database refers to the way that your data is structured and to how bits of data relate to each other. Every database in your MySQL server has a separate schema, and separate databases should not typically interact with one another.
To create a database on your MySQL server, simply run the query:
create database DATABASENAME;
You can delete a database using the query:
drop database DATABASENAME;
When you're at the MySQL prompt, use the following query to select a database to which to run select, insert, update, and delete queries:
A database contains one or more tables. Tables contain columns and rows, which you may sometimes call fields and entries.
You can see all of the tables in the database using this query:
When you create a table, you should provide information about all of that table's columns within the create table query. Here is the general syntax for the query:
create table TABLENAME ( FIELDNAME DATATYPE OPTIONS, FIELDNAME DATATYPE OPTIONS, FIELDNAME DATATYPE OPTIONS, FIELDNAME DATATYPE OPTIONS ) TABLE_OPTIONS;
You can get details about an existing table using this query:
Just like a programming language, MySQL has data types. There are dozens of data types; some of the most common ones are documented below.
String Data Types
There are four main types of string data types: character, text, blob, and enumerable.
- Character types are useful for short strings, like usernames and e-mail addresses.
- Text types differ from character types in that behind the scenes, they are not actually stored with the rest of the table row; they are useful for longer blocks of text, like forum posts.
- Blobs are for binary data, like files.
- Enumerables are for something that could have one of a set number of values (not more than 65535), like what State a user is from (Alabama, Alaska, and so on). Enums are also useful for storing boolean data, like ENUM('yes','no'). An enum is actually stored as an integer in the database, making queries more efficient.
The syntax for these data types is:
- VARCHAR(#), a string at most # characters long, where 0 ≤ # ≤ 255
- CHAR(#), a string exactly # characters long, where 0 ≤ # ≤ 255
- TINYTEXT, a text block at most 255 characters long
- TEXT, a text block at most 65535 characters long
- BLOB, a binary string at most 65 KB in length
- MEDIUMBLOB, a binary string at most 16 MB in length
- LONGBLOB, a binary string at most 4 GB in length
- ENUM('a', 'b', 'c'), an enumerable with choices a, b, and c
Numeric Data Types
There are two types of numeric data types that you need to worry about: integers and decimals. The difference between the two should be pretty self-explanatory. The syntax for using these data types is:
- TINYINT, an integer n where -128 ≤ n ≤ 127
- TINYINT UNSIGNED, an integer n where 0 ≤ n ≤ 255
- SMALLINT, an integer n where -32,768 ≤ n ≤ 32,767
- SMALLINT UNSIGNED, an integer n where 0 ≤ n ≤ 65,535
- MEDIUMINT, an integer n where -8,388,608 ≤ n ≤ 8,388,607
- MEDIUMINT UNSIGNED, an integer n where 0 ≤ n ≤ 16,777,215
- INT, an integer n where -2,147,483,648 ≤ n ≤ 2,147,483,647
- INT UNSIGNED, an integer n where 0 ≤ n ≤ 4,294,967,295
- BIGINT, an integer n where -9,223,372,036,854,775,808 ≤ n ≤ 9,223,372,036,854,775,807
- BIGINT UNSIGNED, an integer n where 0 ≤ n ≤ 18,446,744,073,709,551,615
- DECIMAL(#a, #b), a decimal number at most #a digits long, #b of which are after the decimal point. For example, DECIMAL(5,2) can contain n where -999.99 ≤ n ≤ 999.99
When choosing the size of an integer, you should use the smallest integer for which you know you will never "run out of room". In most everyday circumstances, MEDIUMINT should be the biggest you'll need.
Temporal Data Types
MySQL provides a class of data types that specialize in handling dates and times. The syntax for using date types is:
- DATE, a date d where
1000-01-01≤ d ≤
- DATETIME, a date with time d where
1000-01-01 00:00:00≤ d ≤
- TIMESTAMP, a date with time d where
1970-01-01 00:00:01 UTC≤ d ≤
2038-01-19 03:14:07 UTC(note:
1970-01-01 00:00:01 UTCis the Unix epoch)
- TIME, a length of time t where
-838:59:59≤ t ≤
838:59:59(note: you cannot store time to a precision greater than 1 second)
- YEAR, a year y where 1901 ≤ y ≤ 2155
Note that TIMESTAMP is a highly versatile data type that can automatically change whenever a row is updated. For more information, refer to the MySQL documentation.
By default, any "cell" in a MySQL table can contain the NULL value. If a certain field in your database schema will never contain a null value, you should declare it as NOT NULL in order to make queries more efficient.
You can also specify a default value for a field. If you do, when you insert data into the table, it won't be necessary to specify a value for that column. To specify a default value for a field, use the syntax DEFAULT 'DEFAULT-VALUE'
Create Table Example
The following query would create a table called employees with six columns: employee ID, first name, last name, nickname, department, and the date that they joined the company. Nickname is the only optional column. The primary key for the table (see the next section) will be the id column. The department will be one of five choices, with the default being CSE. The storage engine for the table will be InnoDB, and the default charset for the table will be UTF8.
create table employees ( id mediumint unsigned not null auto_increment, first_name varchar(30) not null, last_name varchar(40) not null, nickname varchar(20), department enum('CSE','BME','EECE','ESE','MEMS') not null default 'CSE', joined timestamp not null default current_timestamp, primary key (id) ) engine = InnoDB default character set = utf8 collate = utf8_general_ci;
When MySQL goes to get data out of a database, it does so using an index, like the index of a textbook. In tech talk, we call indices keys.
The primary key is what MySQL uses to distinguish one row from another. Every table must have exactly one primary key; no more, no less.
It is common practice to add a column to a table with data type mediumint unsigned not null auto_increment to serve as the primary key for a table. The auto_increment is a neat little feature of MySQL that basically says, "when a new row is inserted into this table, assign it the next-lowest available ID".
To specify a primary key for a table, use the syntax:
primary key (column1, column2, column3)
If you want to specify that all items in a certain column will be unique from each other (like usernames or e-mail addresses), you can use a unique key.
Because a table can have more than one unique key, you need to give your unique key a name. It is common practice to name the key after the columns it is indexing, like idx_unique_column1_column2.
The syntax for specifying a unique key is:
unique key INDEX_NAME (column1, column2, column3)
A foreign key is the most complicated type of MySQL index. A foreign key says that the values in one column are associated with the values in a column in a different table.
For example, suppose you had two tables, one containing users and the other containing posts on a forum. There is a one-to-many relationship between users and posts. You could link a post to a user by having a column in your post table called user_id, which would be a foreign key to the id column in your users table.
Foreign keys can be a source of great confusion in developing database schemas. If you get stuck, keep this tip in mind: Foreign Keys should always reference the columns used in the Primary Key of a different table.
The syntax for creating a foreign key is as follows:
foreign key (column1, column2, column3) references FOREIGN_TABLENAME (column1, column2, column3)
For example, in the user-and-post example above, the foreign key declaration would be:
foreign key (user_id) references user (id)
Further Reading about Foreign Keys
- Wikipedia Entry on Foreign Keys
- An introductory article on Tech Republic
- MySQL Documentation for Foreign Keys
Syntax for Keys
You can define keys in your create table query, or you can define them later.
If you define them in your create table query, do so after the column definitions but still inside the parentheses:
create table TABLENAME ( column, column, ...., primary key (column1, column2, ...), unique key INDEXNAME (column1, column2, ...), foreign key (column1, column2, ...) references FOREIGN_TABLENAME (column1, column2, ...) )
To define indices later, use an ALTER TABLE query:
alter table TABLENAME add unique key INDEXNAME (column1, column2, ...); alter table TABLENAME add foreign key (column1, column2, ...) references FOREIGN_TABLENAME (column1, column2, ...); == State == The ''state'' of your database refers to the data that it holds. Whenever you insert, update, or delete data, the state of your database changes. === Inserting Data === To insert a row (aka ''entry'') into a table, use a query of the form <source lang="mysql"> insert into TABLENAME (column1, column2, column3) values (value1_1, value2_1, value3_1), (value1_2, value2_2, value3_2), ...
For example, to insert an employee into the table we created earlier, you could use the query
insert into employees (first_name, last_name, department) values ('John', 'Doe', 'BME'), ('Keith', 'Jones', 'ESE');
Because of the various default and auto_increment values we have specified in our database, the database would now contain the following data:
+----+------------+-----------+----------+------------+---------------------+ | id | first_name | last_name | nickname | department | joined | +----+------------+-----------+----------+------------+---------------------+ | 1 | John | Doe | NULL | BME | 2012-08-22 22:02:24 | | 2 | Keith | Jones | NULL | ESE | 2012-08-22 22:02:24 | +----+------------+-----------+----------+------------+---------------------+
If you want to insert a DATE or DATETIME value into a database, use the YYYY-MM-DD HH:MM:SS format. The exception is with TIMESTAMP, in which you should use a 16-bit integer representing the number of seconds since January 1, 1970.
To update a row in a table, use a query of the form
update TABLENAME set column1=value1, column2=value2, column3=value3 where CONDITION
For example, to set Keith Jones's nickname to "KJ", you would run the query
update employees set nickname='KJ' where id=2;
To delete a row from a table, use a query of the form
delete from TABLENAME where CONDITION
For example, to delete John Doe from the table, you would run the query
delete from employees where id=1;
DO NOT FORGET THE WHERE CLAUSE! If you do, all rows will be deleted from your table!
The most simple query to select data from a table is:
select * from TABLENAME;
However, in practice, you will almost always want to perform a more advanced query.
Specifying Specific Columns
In order to save transmission time, you should select only those columns that you need in your application. The syntax for selecting only certain columns is
select column1, column2, column3 from TABLENAME;
MySQL can perform computation. For example, if you wanted to select the amount of time that a certain employee has been at the company, you could run the query
select TIMESTAMPDIFF( second, joined, NOW() ) as time_with_company from employees;