SQL使用实例

一、概述

 

Keep in Mind That...

 

SQL is not case sensitive

Semicolon after SQL Statements?

 

Some database systems require a semicolon at the end of each SQL statement.

 

Semicolon is the standard way to separate each SQL statement in database systems that allow more than one SQL statement to be executed in the same call to the server.

 

We are using MS Access and SQL Server 2000 and we do not have to put a semicolon after each SQL statement, but some database programs force you to use it.

 

二、分类

 

SQL DML and DDL

 

SQL can be divided into two parts: The Data Manipulation Language (DML) and the Data Definition Language (DDL).

 

The query and update commands form the DML part of SQL:

 

SELECT - extracts data from a database

UPDATE - updates data in a database

DELETE - deletes data from a database

INSERT INTO - inserts new data into a database

The DDL part of SQL permits database tables to be created or deleted. It also defines indexes (keys), specifies links between tables, and imposes constraints between tables. The most important DDL statements in SQL are:

 

CREATE DATABASE - creates a new database

ALTER DATABASE - modifies a database

CREATE TABLE - creates a new table

ALTER TABLE - modifies a table

DROP TABLE - deletes a table

CREATE INDEX - creates an index (search key)

DROP INDEX - deletes an index

 

 

三、各种SQL语句使用方法举例

 

This chapter will explain the SELECT and the SELECT * statements.

The asterisk (*) is a quick way of selecting all columns!

 

 

 

The SQL SELECT DISTINCT Statement

 

In a table, some of the columns may contain duplicate values. This is not a problem, however, sometimes you will want to list only the different (distinct) values in a table.

 

The DISTINCT keyword can be used to return only distinct (different) values.

SELECT DISTINCT City FROM Persons

 

 

The WHERE clause is used to filter records.

 

The WHERE Clause 

 

The WHERE clause is used to extract only those records that fulfill a specified criterion.

SELECT * FROM Persons

WHERE City='Sandnes'

Quotes Around Text Fields

 

SQL uses single quotes around text values (most database systems will also accept double quotes).

 

However, numeric values should not be enclosed in quotes.

 

For text values:

 

This is correct:

 

SELECT * FROM Persons WHERE FirstName='Tove'

 

This is wrong:

 

SELECT * FROM Persons WHERE FirstName=Tove

For numeric values:

 

This is correct:

 

SELECT * FROM Persons WHERE Year=1965

 

This is wrong:

 

SELECT * FROM Persons WHERE Year='1965'

 

 

Operators Allowed in the WHERE Clause

 

With the WHERE clause, the following operators can be used:

 

Operator Description

= Equal

<> Not equal

> Greater than

< Less than

>= Greater than or equal

<= Less than or equal

BETWEEN Between an inclusive range

LIKE Search for a pattern

IN To specify multiple possible values for a column

Note: In some versions of SQL the <> operator may be written as !=

 

 

Combining AND & OR

 

You can also combine AND and OR (use parenthesis to form complex expressions).

 

Now we want to select only the persons with the last name equal to "Svendson" AND the first name equal to "Tove" OR to "Ola":

 

We use the following SELECT statement:

 

SELECT * FROM Persons WHERE

LastName='Svendson'

AND (FirstName='Tove' OR FirstName='Ola')

 

 

The ORDER BY Keyword

 

The ORDER BY keyword is used to sort the result-set by a specified column.

 

The ORDER BY keyword sort the records in ascending order by default.

 

If you want to sort the records in a descending order, you can use the DESC keyword.

SELECT * FROM Persons

ORDER BY LastName DESC

 

 

The INSERT INTO Statement

 

The INSERT INTO statement is used to insert a new row in a table.

 

SQL INSERT INTO Syntax

 

It is possible to write the INSERT INTO statement in two forms.

 

The first form doesn't specify the column names where the data will be inserted, only their values:

 

INSERT INTO table_name

VALUES (value1, value2, value3,...)

The second form specifies both the column names and the values to be inserted:

 

INSERT INTO table_name (column1, column2, column3,...)

VALUES (value1, value2, value3,...)

 

 

 

 

The UPDATE Statement

 

The UPDATE statement is used to update existing records in a table.

 

SQL UPDATE Syntax

 

UPDATE table_name

SET column1=value, column2=value2,...

WHERE some_column=some_value

Note: Notice the WHERE clause in the UPDATE syntax. The WHERE clause specifies which record or records that should be updated. If you omit the WHERE clause, all records will be updated!

 

Be careful when updating records. If we had omitted the WHERE clause in the example above, like this:

 

UPDATE Persons

SET Address='Nissestien 67', City='Sandnes'

 

 

 

The DELETE Statement

 

The DELETE statement is used to delete rows in a table.

 

SQL DELETE Syntax

 

DELETE FROM table_name

WHERE some_column=some_value

Note: Notice the WHERE clause in the DELETE syntax. The WHERE clause specifies which record or records that should be deleted. If you omit the WHERE clause, all records will be deleted!

 

Delete All Rows

 

It is possible to delete all rows in a table without deleting the table. This means that the table structure, attributes, and indexes will be intact:

 

DELETE FROM table_name

 

or

 

DELETE * FROM table_name

Note: Be very careful when deleting records. You cannot undo this statement!

 

 

 

The TOP Clause

 

The TOP clause is used to specify the number of records to return.

 

The TOP clause can be very useful on large tables with thousands of records. Returning a large number of records can impact on performance.

 

Note: Not all database systems support the TOP clause.

SQL SELECT TOP Equivalent in MySQL and Oracle

 

MySQL Syntax

 

SELECT column_name(s)

FROM table_name

LIMIT number

Example

 

SELECT *

FROM Persons

LIMIT 5

Oracle Syntax

 

SELECT column_name(s)

FROM table_name

WHERE ROWNUM <= number

Example

 

SELECT *

FROM Persons

WHERE ROWNUM <=5

 

The LIKE Operator

 

The LIKE operator is used to search for a specified pattern in a column.

 

Now we want to select the persons living in a city that starts with "s" from the table above.

 

We use the following SELECT statement:

 

SELECT * FROM Persons

WHERE City LIKE 's%'

The "%" sign can be used to define wildcards (missing letters in the pattern) both before and after the pattern.

 

Next, we want to select the persons living in a city that contains the pattern "tav" from the "Persons" table.

 

We use the following SELECT statement:

 

SELECT * FROM Persons

WHERE City LIKE '%tav%'

 

 

 

 

 

 

Wildcard Description

% A substitute for zero or more characters

_ A substitute for exactly one character

[charlist] Any single character in charlist

[^charlist]

or

 

[!charlist]

 

Any single character not in charlist

Using the [charlist] Wildcard

 

Now we want to select the persons with a last name that starts with "b" or "s" or "p" from the "Persons" table.

 

We use the following SELECT statement:

 

SELECT * FROM Persons

WHERE LastName LIKE '[bsp]%'

 

Next, we want to select the persons with a last name that do not start with "b" or "s" or "p" from the "Persons" table.

 

We use the following SELECT statement:

 

SELECT * FROM Persons

WHERE LastName LIKE '[!bsp]%'

 

 

 

Using the _ Wildcard

 

Now we want to select the persons with a first name that starts with any character, followed by "la" from the "Persons" table.

 

We use the following SELECT statement:

 

SELECT * FROM Persons

WHERE FirstName LIKE '_la'

 

 

 

 

 

The IN Operator

 

The IN operator allows you to specify multiple values in a WHERE clause.

Now we want to select the persons with a last name equal to "Hansen" or "Pettersen" from the table 

 

above.

 

We use the following SELECT statement:

 

SELECT * FROM Persons

WHERE LastName IN ('Hansen','Pettersen')

 

The BETWEEN Operator

 

The BETWEEN operator selects a range of data between two values. The values can be numbers, text, or dates.

 

 

Now we want to select the persons with a last name alphabetically between "Hansen" and "Pettersen" from the table above.

 

We use the following SELECT statement:

 

SELECT * FROM Persons

WHERE LastName

BETWEEN 'Hansen' AND 'Pettersen'

Note: The BETWEEN operator is treated differently in different databases!

 

In some databases, persons with the LastName of "Hansen" or "Pettersen" will not be listed, because the BETWEEN operator only selects fields that are between and excluding the test values.

 

In other databases, persons with the LastName of "Hansen" or "Pettersen" will be listed, because the BETWEEN operator selects fields that are between and including the test values.

 

And in other databases, persons with the LastName of "Hansen" will be listed, but "Pettersen" will not be listed (like the example above), because the BETWEEN operator selects fields between the test values, including the first test value and excluding the last test value.

 

Therefore: Check how your database treats the BETWEEN operator.

 

To display the persons outside the range in the previous example, use NOT BETWEEN:

 

SELECT * FROM Persons

WHERE LastName

NOT BETWEEN 'Hansen' AND 'Pettersen'

 

 

 

SQL Alias

 

You can give a table or a column another name by using an alias. This can be a good thing to do if you have very long or complex table names or column names.

 

An alias name could be anything, but usually it is short.

Alias Example

 

Assume we have a table called "Persons" and another table called "Product_Orders". We will give the table aliases of "p" and "po" respectively.

 

Now we want to list all the orders that "Ola Hansen" is responsible for.

 

We use the following SELECT statement:

 

SELECT po.OrderID, p.LastName, p.FirstName

FROM Persons AS p,

Product_Orders AS po

WHERE p.LastName='Hansen' AND p.FirstName='Ola'

The same SELECT statement without aliases:

 

SELECT Product_Orders.OrderID, Persons.LastName, Persons.FirstName

FROM Persons,

Product_Orders

WHERE Persons.LastName='Hansen' AND Persons.FirstName='Ola'

As you'll see from the two SELECT statements above; aliases can make queries easier to both write and to read.

 

 

 

SQL JOIN

 

The JOIN keyword is used in an SQL statement to query data from two or more tables, based on a relationship between certain columns in these tables.

 

Tables in a database are often related to each other with keys.

 

A primary key is a column (or a combination of columns) with a unique value for each row. Each primary key value must be unique within the table. The purpose is to bind data together, across tables, without repeating all of the data in every table.

Look at the "Persons" table:

 

P_Id LastName FirstName Address City

1 Hansen Ola Timoteivn 10 Sandnes

2 Svendson Tove Borgvn 23 Sandnes

3 Pettersen Kari Storgt 20 Stavanger

Note that the "P_Id" column is the primary key in the "Persons" table. This means that no two rows can have the same P_Id. The P_Id distinguishes two persons even if they have the same name.

 

Next, we have the "Orders" table:

 

O_Id OrderNo P_Id

1 77895 3

2 44678 3

3 22456 1

4 24562 1

5 34764 15

Note that the "O_Id" column is the primary key in the "Orders" table and that the "P_Id" column refers to the persons in the "Persons" table without using their names.

 

Notice that the relationship between the two tables above is the "P_Id" column.

 

Different SQL JOINs

 

Before we continue with examples, we will list the types of JOIN you can use, and the differences between them.

 

JOIN: Return rows when there is at least one match in both tables

LEFT JOIN: Return all rows from the left table, even if there are no matches in the right table

RIGHT JOIN: Return all rows from the right table, even if there are no matches in the left table

FULL JOIN: Return rows when there is a match in one of the tables

 

 

SQL INNER JOIN Keyword

 

The INNER JOIN keyword return rows when there is at least one match in both tables.

Now we want to list all the persons with any orders.

 

We use the following SELECT statement:

 

SELECT Persons.LastName, Persons.FirstName, Orders.OrderNo

FROM Persons

INNER JOIN Orders

ON Persons.P_Id=Orders.P_Id

ORDER BY Persons.LastName

The result-set will look like this:

 

LastName FirstName OrderNo

Hansen Ola 22456

Hansen Ola 24562

Pettersen Kari 77895

Pettersen Kari 44678

The INNER JOIN keyword return rows when there is at least one match in both tables. If there are rows in "Persons" that do not have matches in "Orders", those rows will NOT be listed.

 

 

SQL LEFT JOIN Keyword

 

The LEFT JOIN keyword returns all rows from the left table (table_name1), even if there are no matches in the right table (table_name2).

PS: In some databases LEFT JOIN is called LEFT OUTER JOIN.

Now we want to list all the persons and their orders - if any, from the tables above.

 

We use the following SELECT statement:

 

SELECT Persons.LastName, Persons.FirstName, Orders.OrderNo

FROM Persons

LEFT JOIN Orders

ON Persons.P_Id=Orders.P_Id

ORDER BY Persons.LastName

The result-set will look like this:

 

LastName FirstName OrderNo

Hansen Ola 22456

Hansen Ola 24562

Pettersen Kari 77895

Pettersen Kari 44678

Svendson Tove  

The LEFT JOIN keyword returns all the rows from the left table (Persons), even if there are no matches in the right table (Orders).

 

 

SQL RIGHT JOIN Keyword

 

The RIGHT JOIN keyword returns all the rows from the right table (table_name2), even if there are no matches in the left table (table_name1).

PS: In some databases RIGHT JOIN is called RIGHT OUTER JOIN.

Now we want to list all the orders with containing persons - if any, from the tables above.

 

We use the following SELECT statement:

 

SELECT Persons.LastName, Persons.FirstName, Orders.OrderNo

FROM Persons

RIGHT JOIN Orders

ON Persons.P_Id=Orders.P_Id

ORDER BY Persons.LastName

The result-set will look like this:

 

LastName FirstName OrderNo

Hansen Ola 22456

Hansen Ola 24562

Pettersen Kari 77895

Pettersen Kari 44678

  34764

The RIGHT JOIN keyword returns all the rows from the right table (Orders), even if there are no matches in the left table (Persons).

 

SQL FULL JOIN Keyword

 

The FULL JOIN keyword return rows when there is a match in one of the tables

Now we want to list all the persons and their orders, and all the orders with their persons.

 

We use the following SELECT statement:

 

SELECT Persons.LastName, Persons.FirstName, Orders.OrderNo

FROM Persons

FULL JOIN Orders

ON Persons.P_Id=Orders.P_Id

ORDER BY Persons.LastName

The result-set will look like this:

 

LastName FirstName OrderNo

Hansen Ola 22456

Hansen Ola 24562

Pettersen Kari 77895

Pettersen Kari 44678

Svendson Tove  

  34764

The FULL JOIN keyword returns all the rows from the left table (Persons), and all the rows from the right table (Orders). If there are rows in "Persons" that do not have matches in "Orders", or if there are rows in "Orders" that do not have matches in "Persons", those rows will be listed as well.

 

 

The SQL UNION Operator

 

The UNION operator is used to combine the result-set of two or more SELECT statements.

 

Notice that each SELECT statement within the UNION must have the same number of columns. The columns must also have similar data types. Also, the columns in each SELECT statement must be in the same order.

 

SQL UNION Example

 

Look at the following tables:

 

"Employees_Norway":

 

E_ID E_Name

01 Hansen, Ola

02 Svendson, Tove

03 Svendson, Stephen

04 Pettersen, Kari

"Employees_USA":

 

E_ID E_Name

01 Turner, Sally

02 Kent, Clark

03 Svendson, Stephen

04 Scott, Stephen

Now we want to list all the different employees in Norway and USA.

 

We use the following SELECT statement:

 

SELECT E_Name FROM Employees_Norway

UNION

SELECT E_Name FROM Employees_USA

The result-set will look like this:

 

E_Name

Hansen, Ola

Svendson, Tove

Svendson, Stephen

Pettersen, Kari

Turner, Sally

Kent, Clark

Scott, Stephen

Note: This command cannot be used to list all employees in Norway and USA. In the example above we have two employees with equal names, and only one of them will be listed. The UNION command selects only distinct values.

 

SQL UNION ALL Example

 

Now we want to list all employees in Norway and USA:

 

SELECT E_Name FROM Employees_Norway

UNION ALL

SELECT E_Name FROM Employees_USA

Result

 

E_Name

Hansen, Ola

Svendson, Tove

Svendson, Stephen

Pettersen, Kari

Turner, Sally

Kent, Clark

Svendson, Stephen

Scott, Stephen

 

 

 

 

The SQL SELECT INTO Statement

 

The SELECT INTO statement selects data from one table and inserts it into a different table.

 

The SELECT INTO statement is most often used to create backup copies of tables.

 

SQL SELECT INTO Example

 

Make a Backup Copy - Now we want to make an exact copy of the data in our "Persons" table.

 

We use the following SQL statement:

 

SELECT *

INTO Persons_Backup

FROM Persons

We can also use the IN clause to copy the table into another database:

 

SELECT *

INTO Persons_Backup IN 'Backup.mdb'

FROM Persons

We can also copy only a few fields into the new table:

 

SELECT LastName,FirstName

INTO Persons_Backup

FROM Persons

 

SQL SELECT INTO - With a WHERE Clause

 

We can also add a WHERE clause.

 

The following SQL statement creates a "Persons_Backup" table with only the persons who lives in the city "Sandnes":

 

SELECT LastName,Firstname

INTO Persons_Backup

FROM Persons

WHERE City='Sandnes'

 

SQL SELECT INTO - Joined Tables

 

Selecting data from more than one table is also possible.

 

The following example creates a "Persons_Order_Backup" table contains data from the two tables "Persons" and "Orders":

 

SELECT Persons.LastName,Orders.OrderNo

INTO Persons_Order_Backup

FROM Persons

INNER JOIN Orders

ON Persons.P_Id=Orders.P_Id

 

 

The CREATE TABLE Statement

 

The CREATE TABLE statement is used to create a table in a database.

CREATE TABLE Example

 

Now we want to create a table called "Persons" that contains five columns: P_Id, LastName, FirstName, Address, and City.

 

We use the following CREATE TABLE statement:

 

CREATE TABLE Persons

(

P_Id int,

LastName varchar(255),

FirstName varchar(255),

Address varchar(255),

City varchar(255)

)

The P_Id column is of type int and will hold a number. The LastName, FirstName, Address, and City columns are of type varchar with a maximum length of 255 characters.

 

 

 

Constraints are used to limit the type of data that can go into a table.

 

Constraints can be specified when a table is created (with the CREATE TABLE statement) or after the table is created (with the ALTER TABLE statement).

 

We will focus on the following constraints:

 

NOT NULL

UNIQUE

PRIMARY KEY

FOREIGN KEY

CHECK

DEFAULT

 

 

By default, a table column can hold NULL values.

 

SQL NOT NULL Constraint

 

The NOT NULL constraint enforces a column to NOT accept NULL values.

 

The NOT NULL constraint enforces a field to always contain a value. This means that you cannot insert a new record, or update a record without adding a value to this field.

 

The following SQL enforces the "P_Id" column and the "LastName" column to not accept NULL values:

 

CREATE TABLE Persons

(

P_Id int NOT NULL,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255)

)

 

 

 

 

SQL UNIQUE Constraint

 

The UNIQUE constraint uniquely identifies each record in a database table.

 

The UNIQUE and PRIMARY KEY constraints both provide a guarantee for uniqueness for a column or set of columns.

 

A PRIMARY KEY constraint automatically has a UNIQUE constraint defined on it.

 

Note that you can have many UNIQUE constraints per table, but only one PRIMARY KEY constraint per table.

 

SQL UNIQUE Constraint on CREATE TABLE

 

The following SQL creates a UNIQUE constraint on the "P_Id" column when the "Persons" table is created:

 

MySQL:

 

CREATE TABLE Persons

(

P_Id int NOT NULL,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255),

UNIQUE (P_Id)

)

SQL Server / Oracle / MS Access:

 

CREATE TABLE Persons

(

P_Id int NOT NULL UNIQUE,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255)

)

To allow naming of a UNIQUE constraint, and for defining a UNIQUE constraint on multiple columns, use the following SQL syntax:

 

MySQL / SQL Server / Oracle / MS Access:

 

CREATE TABLE Persons

(

P_Id int NOT NULL,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255),

CONSTRAINT uc_PersonID UNIQUE (P_Id,LastName)

)

 

SQL UNIQUE Constraint on ALTER TABLE

 

To create a UNIQUE constraint on the "P_Id" column when the table is already created, use the following SQL:

 

MySQL / SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

ADD UNIQUE (P_Id)

To allow naming of a UNIQUE constraint, and for defining a UNIQUE constraint on multiple columns, use the following SQL syntax:

 

MySQL / SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

ADD CONSTRAINT uc_PersonID UNIQUE (P_Id,LastName)

 

To DROP a UNIQUE Constraint

 

To drop a UNIQUE constraint, use the following SQL:

 

MySQL:

 

ALTER TABLE Persons

DROP INDEX uc_PersonID

SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

DROP CONSTRAINT uc_PersonID

 

 

SQL PRIMARY KEY Constraint

 

The PRIMARY KEY constraint uniquely identifies each record in a database table.

 

Primary keys must contain unique values.

 

A primary key column cannot contain NULL values.

 

Each table should have a primary key, and each table can have only ONE primary key.

 

SQL PRIMARY KEY Constraint on CREATE TABLE

 

The following SQL creates a PRIMARY KEY on the "P_Id" column when the "Persons" table is created:

 

MySQL:

 

CREATE TABLE Persons

(

P_Id int NOT NULL,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255),

PRIMARY KEY (P_Id)

)

SQL Server / Oracle / MS Access:

 

CREATE TABLE Persons

(

P_Id int NOT NULL PRIMARY KEY,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255)

)

To allow naming of a PRIMARY KEY constraint, and for defining a PRIMARY KEY constraint on multiple columns, use the following SQL syntax:

 

MySQL / SQL Server / Oracle / MS Access:

 

CREATE TABLE Persons

(

P_Id int NOT NULL,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255),

CONSTRAINT pk_PersonID PRIMARY KEY (P_Id,LastName)

)

Note: In the example above there is only ONE PRIMARY KEY (pk_PersonID). However, the value of the pk_PersonID is made up of two columns (P_Id and LastName).

SQL PRIMARY KEY Constraint on ALTER TABLE

 

To create a PRIMARY KEY constraint on the "P_Id" column when the table is already created, use the following SQL:

 

MySQL / SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

ADD PRIMARY KEY (P_Id)

To allow naming of a PRIMARY KEY constraint, and for defining a PRIMARY KEY constraint on multiple columns, use the following SQL syntax:

 

MySQL / SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

ADD CONSTRAINT pk_PersonID PRIMARY KEY (P_Id,LastName)

Note: If you use the ALTER TABLE statement to add a primary key, the primary key column(s) must already have been declared to not contain NULL values (when the table was first created).

 

To DROP a PRIMARY KEY Constraint

 

To drop a PRIMARY KEY constraint, use the following SQL:

 

MySQL:

 

ALTER TABLE Persons

DROP PRIMARY KEY

SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

DROP CONSTRAINT pk_PersonID

 

 

 

 

 

 

SQL FOREIGN KEY Constraint

 

A FOREIGN KEY in one table points to a PRIMARY KEY in another table.

 

Let's illustrate the foreign key with an example. Look at the following two tables:

 

The "Persons" table:

 

P_Id LastName FirstName Address City

1 Hansen Ola Timoteivn 10 Sandnes

2 Svendson Tove Borgvn 23 Sandnes

3 Pettersen Kari Storgt 20 Stavanger

The "Orders" table:

 

O_Id OrderNo P_Id

1 77895 3

2 44678 3

3 22456 2

4 24562 1

Note that the "P_Id" column in the "Orders" table points to the "P_Id" column in the "Persons" table.

 

The "P_Id" column in the "Persons" table is the PRIMARY KEY in the "Persons" table.

 

The "P_Id" column in the "Orders" table is a FOREIGN KEY in the "Orders" table.

 

The FOREIGN KEY constraint is used to prevent actions that would destroy links between tables.

 

 

 

 

 

SQL CHECK Constraint

 

The CHECK constraint is used to limit the value range that can be placed in a column.

 

If you define a CHECK constraint on a single column it allows only certain values for this column.

 

If you define a CHECK constraint on a table it can limit the values in certain columns based on values in other columns in the row.

 

SQL CHECK Constraint on CREATE TABLE

 

The following SQL creates a CHECK constraint on the "P_Id" column when the "Persons" table is created. The CHECK constraint specifies that the column "P_Id" must only include integers greater than 0.

 

MySQL:

 

CREATE TABLE Persons

(

P_Id int NOT NULL,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255),

CHECK (P_Id>0)

)

SQL Server / Oracle / MS Access:

 

CREATE TABLE Persons

(

P_Id int NOT NULL CHECK (P_Id>0),

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255)

)

To allow naming of a CHECK constraint, and for defining a CHECK constraint on multiple columns, use the following SQL syntax:

 

MySQL / SQL Server / Oracle / MS Access:

 

CREATE TABLE Persons

(

P_Id int NOT NULL,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255),

CONSTRAINT chk_Person CHECK (P_Id>0 AND City='Sandnes')

)

 

SQL CHECK Constraint on ALTER TABLE

 

To create a CHECK constraint on the "P_Id" column when the table is already created, use the following SQL:

 

MySQL / SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

ADD CHECK (P_Id>0)

To allow naming of a CHECK constraint, and for defining a CHECK constraint on multiple columns, use the following SQL syntax:

 

MySQL / SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

ADD CONSTRAINT chk_Person CHECK (P_Id>0 AND City='Sandnes')

 

To DROP a CHECK Constraint

 

To drop a CHECK constraint, use the following SQL:

 

SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

DROP CONSTRAINT chk_Person

MySQL:

 

ALTER TABLE Persons

DROP CHECK chk_Person

 

 

 

 

SQL DEFAULT Constraint

 

The DEFAULT constraint is used to insert a default value into a column.

 

The default value will be added to all new records, if no other value is specified.

 

SQL DEFAULT Constraint on CREATE TABLE

 

The following SQL creates a DEFAULT constraint on the "City" column when the "Persons" table is created:

 

My SQL / SQL Server / Oracle / MS Access:

 

CREATE TABLE Persons

(

P_Id int NOT NULL,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255) DEFAULT 'Sandnes'

)

The DEFAULT constraint can also be used to insert system values, by using functions like GETDATE():

 

CREATE TABLE Orders

(

O_Id int NOT NULL,

OrderNo int NOT NULL,

P_Id int,

OrderDate date DEFAULT GETDATE()

)

 

SQL DEFAULT Constraint on ALTER TABLE

 

To create a DEFAULT constraint on the "City" column when the table is already created, use the following SQL:

 

MySQL:

 

ALTER TABLE Persons

ALTER City SET DEFAULT 'SANDNES'

SQL Server / MS Access:

 

ALTER TABLE Persons

ALTER COLUMN City SET DEFAULT 'SANDNES'

Oracle:

 

ALTER TABLE Persons

MODIFY City DEFAULT 'SANDNES'

 

To DROP a DEFAULT Constraint

 

To drop a DEFAULT constraint, use the following SQL:

 

MySQL:

 

ALTER TABLE Persons

ALTER City DROP DEFAULT

SQL Server / Oracle / MS Access:

 

ALTER TABLE Persons

ALTER COLUMN City DROP DEFAULT

 

 

 

The CREATE INDEX statement is used to create indexes in tables.

 

Indexes allow the database application to find data fast; without reading the whole table.

 

Indexes

 

An index can be created in a table to find data more quickly and efficiently.

 

The users cannot see the indexes, they are just used to speed up searches/queries.

 

Note: Updating a table with indexes takes more time than updating a table without (because the indexes also need an update). So you should only create indexes on columns (and tables) that will be frequently searched against.

 

SQL CREATE INDEX Syntax

 

Creates an index on a table. Duplicate values are allowed:

 

CREATE INDEX index_name

ON table_name (column_name)

SQL CREATE UNIQUE INDEX Syntax

 

Creates a unique index on a table. Duplicate values are not allowed:

 

CREATE UNIQUE INDEX index_name

ON table_name (column_name)

Note: The syntax for creating indexes varies amongst different databases. Therefore: Check the syntax for creating indexes in your database.

 

CREATE INDEX Example

 

The SQL statement below creates an index named "PIndex" on the "LastName" column in the "Persons" table:

 

CREATE INDEX PIndex

ON Persons (LastName)

If you want to create an index on a combination of columns, you can list the column names within the parentheses, separated by commas:

 

CREATE INDEX PIndex

ON Persons (LastName, FirstName)

 

 

 

 

 

 

 

 

 

 

 

Indexes, tables, and databases can easily be deleted/removed with the DROP statement.

 

The DROP INDEX Statement

 

The DROP INDEX statement is used to delete an index in a table.

 

DROP INDEX Syntax for MS Access:

 

DROP INDEX index_name ON table_name

DROP INDEX Syntax for MS SQL Server:

 

DROP INDEX table_name.index_name

DROP INDEX Syntax for DB2/Oracle:

 

DROP INDEX index_name

DROP INDEX Syntax for MySQL:

 

ALTER TABLE table_name DROP INDEX index_name

 

The DROP TABLE Statement

 

The DROP TABLE statement is used to delete a table.

 

DROP TABLE table_name

 

The DROP DATABASE Statement

 

The DROP DATABASE statement is used to delete a database.

 

DROP DATABASE database_name

 

The TRUNCATE TABLE Statement

 

What if we only want to delete the data inside the table, and not the table itself?

 

Then, use the TRUNCATE TABLE statement:

 

TRUNCATE TABLE table_name

 

 

 

 

 

 

 

 

 

The ALTER TABLE Statement

 

The ALTER TABLE statement is used to add, delete, or modify columns in an existing table.

 

SQL ALTER TABLE Syntax

 

To add a column in a table, use the following syntax:

 

ALTER TABLE table_name

ADD column_name datatype

To delete a column in a table, use the following syntax (notice that some database systems don't allow deleting a column):

 

ALTER TABLE table_name

DROP COLUMN column_name

To change the data type of a column in a table, use the following syntax:

 

My SQL / SQL Server / MS Access:

 

ALTER TABLE table_name

ALTER COLUMN column_name datatype

Oracle:

 

ALTER TABLE table_name

MODIFY column_name datatype

 

SQL ALTER TABLE Example

 

Look at the "Persons" table:

 

P_Id LastName FirstName Address City

1 Hansen Ola Timoteivn 10 Sandnes

2 Svendson Tove Borgvn 23 Sandnes

3 Pettersen Kari Storgt 20 Stavanger

Now we want to add a column named "DateOfBirth" in the "Persons" table.

 

We use the following SQL statement:

 

ALTER TABLE Persons

ADD DateOfBirth date

Notice that the new column, "DateOfBirth", is of type date and is going to hold a date. The data type specifies what type of data the column can hold. For a complete reference of all the data types available in MS Access, MySQL, and SQL Server, go to our complete Data Types reference.

 

The "Persons" table will now like this:

 

P_Id LastName FirstName Address City DateOfBirth

1 Hansen Ola Timoteivn 10 Sandnes  

2 Svendson Tove Borgvn 23 Sandnes  

3 Pettersen Kari Storgt 20 Stavanger  

 

Change Data Type Example

 

Now we want to change the data type of the column named "DateOfBirth" in the "Persons" table.

 

We use the following SQL statement:

 

ALTER TABLE Persons

ALTER COLUMN DateOfBirth year

Notice that the "DateOfBirth" column is now of type year and is going to hold a year in a two-digit or four-digit format.

 

DROP COLUMN Example

 

Next, we want to delete the column named "DateOfBirth" in the "Persons" table.

 

We use the following SQL statement:

 

ALTER TABLE Persons

DROP COLUMN DateOfBirth

The "Persons" table will now like this:

 

P_Id LastName FirstName Address City

1 Hansen Ola Timoteivn 10 Sandnes

2 Svendson Tove Borgvn 23 Sandnes

3 Pettersen Kari Storgt 20 Stavanger

 

The FOREIGN KEY constraint also prevents that invalid data form being inserted into the foreign key column, because it has to be one of the values contained in the table it points to.

 

SQL FOREIGN KEY Constraint on CREATE TABLE

 

The following SQL creates a FOREIGN KEY on the "P_Id" column when the "Orders" table is created:

 

MySQL:

 

CREATE TABLE Orders

(

O_Id int NOT NULL,

OrderNo int NOT NULL,

P_Id int,

PRIMARY KEY (O_Id),

FOREIGN KEY (P_Id) REFERENCES Persons(P_Id)

)

SQL Server / Oracle / MS Access:

 

CREATE TABLE Orders

(

O_Id int NOT NULL PRIMARY KEY,

OrderNo int NOT NULL,

P_Id int FOREIGN KEY REFERENCES Persons(P_Id)

)

To allow naming of a FOREIGN KEY constraint, and for defining a FOREIGN KEY constraint on multiple columns, use the following SQL syntax:

 

MySQL / SQL Server / Oracle / MS Access:

 

CREATE TABLE Orders

(

O_Id int NOT NULL,

OrderNo int NOT NULL,

P_Id int,

PRIMARY KEY (O_Id),

CONSTRAINT fk_PerOrders FOREIGN KEY (P_Id)

REFERENCES Persons(P_Id)

)

 

SQL FOREIGN KEY Constraint on ALTER TABLE

 

To create a FOREIGN KEY constraint on the "P_Id" column when the "Orders" table is already created, use the following SQL:

 

MySQL / SQL Server / Oracle / MS Access:

 

ALTER TABLE Orders

ADD FOREIGN KEY (P_Id)

REFERENCES Persons(P_Id)

To allow naming of a FOREIGN KEY constraint, and for defining a FOREIGN KEY constraint on multiple columns, use the following SQL syntax:

 

MySQL / SQL Server / Oracle / MS Access:

 

ALTER TABLE Orders

ADD CONSTRAINT fk_PerOrders

FOREIGN KEY (P_Id)

REFERENCES Persons(P_Id)

 

To DROP a FOREIGN KEY Constraint

 

To drop a FOREIGN KEY constraint, use the following SQL:

 

MySQL:

 

ALTER TABLE Orders

DROP FOREIGN KEY fk_PerOrders

SQL Server / Oracle / MS Access:

 

ALTER TABLE Orders

DROP CONSTRAINT fk_PerOrders

 

 

 

 

Auto-increment allows a unique number to be generated when a new record is inserted into a table.

 

AUTO INCREMENT a Field

 

Very often we would like the value of the primary key field to be created automatically every time a new record is inserted.

 

We would like to create an auto-increment field in a table.

 

Syntax for MySQL

 

The following SQL statement defines the "P_Id" column to be an auto-increment primary key field in the "Persons" table:

 

CREATE TABLE Persons

(

P_Id int NOT NULL AUTO_INCREMENT,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255),

PRIMARY KEY (P_Id)

)

MySQL uses the AUTO_INCREMENT keyword to perform an auto-increment feature.

 

By default, the starting value for AUTO_INCREMENT is 1, and it will increment by 1 for each new record.

 

To let the AUTO_INCREMENT sequence start with another value, use the following SQL statement:

 

ALTER TABLE Persons AUTO_INCREMENT=100

To insert a new record into the "Persons" table, we will not have to specify a value for the "P_Id" column (a unique value will be added automatically):

 

INSERT INTO Persons (FirstName,LastName)

VALUES ('Lars','Monsen')

The SQL statement above would insert a new record into the "Persons" table. The "P_Id" column would be assigned a unique value. The "FirstName" column would be set to "Lars" and the "LastName" column would be set to "Monsen".

 

Syntax for SQL Server

 

The following SQL statement defines the "P_Id" column to be an auto-increment primary key field in the "Persons" table:

 

CREATE TABLE Persons

(

P_Id int PRIMARY KEY IDENTITY,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255)

)

The MS SQL Server uses the IDENTITY keyword to perform an auto-increment feature.

 

By default, the starting value for IDENTITY is 1, and it will increment by 1 for each new record.

 

To specify that the "P_Id" column should start at value 10 and increment by 5, change the identity to IDENTITY(10,5).

 

To insert a new record into the "Persons" table, we will not have to specify a value for the "P_Id" column (a unique value will be added automatically):

 

INSERT INTO Persons (FirstName,LastName)

VALUES ('Lars','Monsen')

The SQL statement above would insert a new record into the "Persons" table. The "P_Id" column would be assigned a unique value. The "FirstName" column would be set to "Lars" and the "LastName" column would be set to "Monsen".

 

Syntax for Access

 

The following SQL statement defines the "P_Id" column to be an auto-increment primary key field in the "Persons" table:

 

CREATE TABLE Persons

(

P_Id PRIMARY KEY AUTOINCREMENT,

LastName varchar(255) NOT NULL,

FirstName varchar(255),

Address varchar(255),

City varchar(255)

)

The MS Access uses the AUTOINCREMENT keyword to perform an auto-increment feature.

 

By default, the starting value for AUTOINCREMENT is 1, and it will increment by 1 for each new record.

 

To specify that the "P_Id" column should start at value 10 and increment by 5, change the autoincrement to AUTOINCREMENT(10,5).

 

To insert a new record into the "Persons" table, we will not have to specify a value for the "P_Id" column (a unique value will be added automatically):

 

INSERT INTO Persons (FirstName,LastName)

VALUES ('Lars','Monsen')

The SQL statement above would insert a new record into the "Persons" table. The "P_Id" column would be assigned a unique value. The "FirstName" column would be set to "Lars" and the "LastName" column would be set to "Monsen".

 

Syntax for Oracle

 

In Oracle the code is a little bit more tricky.

 

You will have to create an auto-increment field with the sequence object (this object generates a number sequence).

 

Use the following CREATE SEQUENCE syntax:

 

CREATE SEQUENCE seq_person

MINVALUE 1

START WITH 1

INCREMENT BY 1

CACHE 10

The code above creates a sequence object called seq_person, that starts with 1 and will increment by 1. It will also cache up to 10 values for performance. The cache option specifies how many sequence values will be stored in memory for faster access.

 

To insert a new record into the "Persons" table, we will have to use the nextval function (this function retrieves the next value from seq_person sequence):

 

INSERT INTO Persons (P_Id,FirstName,LastName)

VALUES (seq_person.nextval,'Lars','Monsen')

The SQL statement above would insert a new record into the "Persons" table. The "P_Id" column would be assigned the next number from the seq_person sequence. The "FirstName" column would be set to "Lars" and the "LastName" column would be set to "Monsen"

 

 

 

 

A view is a virtual table.

 

This chapter shows how to create, update, and delete a view.

 

SQL CREATE VIEW Statement

 

In SQL, a view is a virtual table based on the result-set of an SQL statement.

 

A view contains rows and columns, just like a real table. The fields in a view are fields from one or more real tables in the database.

 

You can add SQL functions, WHERE, and JOIN statements to a view and present the data as if the data were coming from one single table.

 

SQL CREATE VIEW Syntax

 

CREATE VIEW view_name AS

SELECT column_name(s)

FROM table_name

WHERE condition

Note: A view always shows up-to-date data! The database engine recreates the data, using the view's SQL statement, every time a user queries a view.

 

SQL CREATE VIEW Examples

 

If you have the Northwind database you can see that it has several views installed by default.

 

The view "Current Product List" lists all active products (products that are not discontinued) from the "Products" table. The view is created with the following SQL:

 

CREATE VIEW [Current Product List] AS

SELECT ProductID,ProductName

FROM Products

WHERE Discontinued=No

We can query the view above as follows:

 

SELECT * FROM [Current Product List]

Another view in the Northwind sample database selects every product in the "Products" table with a unit price higher than the average unit price:

 

CREATE VIEW [Products Above Average Price] AS

SELECT ProductName,UnitPrice

FROM Products

WHERE UnitPrice>(SELECT AVG(UnitPrice) FROM Products)

We can query the view above as follows:

 

SELECT * FROM [Products Above Average Price]

Another view in the Northwind database calculates the total sale for each category in 1997. Note that this view selects its data from another view called "Product Sales for 1997":

 

CREATE VIEW [Category Sales For 1997] AS

SELECT DISTINCT CategoryName,Sum(ProductSales) AS CategorySales

FROM [Product Sales for 1997]

GROUP BY CategoryName

We can query the view above as follows:

 

SELECT * FROM [Category Sales For 1997]

We can also add a condition to the query. Now we want to see the total sale only for the category "Beverages":

 

SELECT * FROM [Category Sales For 1997]

WHERE CategoryName='Beverages'

 

SQL Updating a View

 

You can update a view by using the following syntax:

 

SQL CREATE OR REPLACE VIEW Syntax

 

CREATE OR REPLACE VIEW view_name AS

SELECT column_name(s)

FROM table_name

WHERE condition

Now we want to add the "Category" column to the "Current Product List" view. We will update the view with the following SQL:

 

CREATE VIEW [Current Product List] AS

SELECT ProductID,ProductName,Category

FROM Products

WHERE Discontinued=No

 

SQL Dropping a View

 

You can delete a view with the DROP VIEW command.

 

SQL DROP VIEW Syntax

 

DROP VIEW view_name

 

 

 

 

SQL Dates

 

 The most difficult part when working with dates is to be sure that the format of the date you are trying to insert, matches the format of the date column in the database.

 

As long as your data contains only the date portion, your queries will work as expected. However, if a time portion is involved, it gets complicated.

 

Before talking about the complications of querying for dates, we will look at the most important built-in functions for working with dates.

 

MySQL Date Functions

 

The following table lists the most important built-in date functions in MySQL:

 

Function Description

NOW() Returns the current date and time

CURDATE() Returns the current date

CURTIME() Returns the current time

DATE() Extracts the date part of a date or date/time expression

EXTRACT() Returns a single part of a date/time

DATE_ADD() Adds a specified time interval to a date

DATE_SUB() Subtracts a specified time interval from a date

DATEDIFF() Returns the number of days between two dates

DATE_FORMAT() Displays date/time data in different formats

 

SQL Server Date Functions

 

The following table lists the most important built-in date functions in SQL Server:

 

Function Description

GETDATE() Returns the current date and time

DATEPART() Returns a single part of a date/time

DATEADD() Adds or subtracts a specified time interval from a date

DATEDIFF() Returns the time between two dates

CONVERT() Displays date/time data in different formats

 

SQL Date Data Types

 

MySQL comes with the following data types for storing a date or a date/time value in the database:

 

DATE - format YYYY-MM-DD

DATETIME - format: YYYY-MM-DD HH:MM:SS

TIMESTAMP - format: YYYY-MM-DD HH:MM:SS

YEAR - format YYYY or YY

SQL Server comes with the following data types for storing a date or a date/time value in the database:

 

DATE - format YYYY-MM-DD

DATETIME - format: YYYY-MM-DD HH:MM:SS

SMALLDATETIME - format: YYYY-MM-DD HH:MM:SS

TIMESTAMP - format: a unique number

Note: The date types are chosen for a column when you create a new table in your database!

 

For an overview of all data types available, go to our complete Data Types reference.

 

SQL Working with Dates

 

 You can compare two dates easily if there is no time component involved!

 

Assume we have the following "Orders" table:

 

OrderId ProductName OrderDate

1 Geitost 2008-11-11

2 Camembert Pierrot 2008-11-09

3 Mozzarella di Giovanni 2008-11-11

4 Mascarpone Fabioli 2008-10-29

Now we want to select the records with an OrderDate of "2008-11-11" from the table above.

 

We use the following SELECT statement:

 

SELECT * FROM Orders WHERE OrderDate='2008-11-11'

The result-set will look like this:

 

OrderId ProductName OrderDate

1 Geitost 2008-11-11

3 Mozzarella di Giovanni 2008-11-11

Now, assume that the "Orders" table looks like this (notice the time component in the "OrderDate" column):

 

OrderId ProductName OrderDate

1 Geitost 2008-11-11 13:23:44

2 Camembert Pierrot 2008-11-09 15:45:21

3 Mozzarella di Giovanni 2008-11-11 11:12:01

4 Mascarpone Fabioli 2008-10-29 14:56:59

If we use the same SELECT statement as above:

 

SELECT * FROM Orders WHERE OrderDate='2008-11-11'

we will get no result! This is because the query is looking only for dates with no time portion.

 

Tip: If you want to keep your queries simple and easy to maintain, do not allow time components in your dates!

 

 

 

NULL values represent missing unknown data.

 

By default, a table column can hold NULL values.

 

This chapter will explain the IS NULL and IS NOT NULL operators.

 

SQL NULL Values

 

If a column in a table is optional, we can insert a new record or update an existing record without adding a value to this column. This means that the field will be saved with a NULL value.

 

NULL values are treated differently from other values.

 

NULL is used as a placeholder for unknown or inapplicable values.

 

 Note: It is not possible to compare NULL and 0; they are not equivalent.

 

SQL Working with NULL Values

 

Look at the following "Persons" table:

 

P_Id LastName FirstName Address City

1 Hansen Ola Sandnes

2 Svendson Tove Borgvn 23 Sandnes

3 Pettersen Kari Stavanger

Suppose that the "Address" column in the "Persons" table is optional. This means that if we insert a record with no value for the "Address" column, the "Address" column will be saved with a NULL value.

 

How can we test for NULL values?

 

It is not possible to test for NULL values with comparison operators, such as =, <, or <>.

 

We will have to use the IS NULL and IS NOT NULL operators instead.

 

SQL IS NULL

 

How do we select only the records with NULL values in the "Address" column?

 

We will have to use the IS NULL operator:

 

SELECT LastName,FirstName,Address FROM Persons

WHERE Address IS NULL

The result-set will look like this:

 

LastName FirstName Address

Hansen Ola  

Pettersen Kari  

 Tip: Always use IS NULL to look for NULL values.

 

SQL IS NOT NULL

 

How do we select only the records with no NULL values in the "Address" column?

 

We will have to use the IS NOT NULL operator:

 

SELECT LastName,FirstName,Address FROM Persons

WHERE Address IS NOT NULL

The result-set will look like this:

 

LastName FirstName Address

Svendson Tove Borgvn 23

In the next chapter we will look at the ISNULL(), NVL(), IFNULL() and COALESCE() functions.

 

 

 

SQL ISNULL(), NVL(), IFNULL() and COALESCE() Functions

 

Look at the following "Products" table:

 

P_Id ProductName UnitPrice UnitsInStock UnitsOnOrder

1 Jarlsberg 10.45 16 15

2 Mascarpone 32.56 23  

3 Gorgonzola 15.67 9 20

Suppose that the "UnitsOnOrder" column is optional, and may contain NULL values.

 

We have the following SELECT statement:

 

SELECT ProductName,UnitPrice*(UnitsInStock+UnitsOnOrder)

FROM Products

In the example above, if any of the "UnitsOnOrder" values are NULL, the result is NULL.

 

Microsoft's ISNULL() function is used to specify how we want to treat NULL values.

 

The NVL(), IFNULL(), and COALESCE() functions can also be used to achieve the same result.

 

In this case we want NULL values to be zero.

 

Below, if "UnitsOnOrder" is NULL it will not harm the calculation, because ISNULL() returns a zero if the value is NULL:

 

SQL Server / MS Access

 

SELECT ProductName,UnitPrice*(UnitsInStock+ISNULL(UnitsOnOrder,0))

FROM Products

Oracle

 

Oracle does not have an ISNULL() function. However, we can use the NVL() function to achieve the same result:

 

SELECT ProductName,UnitPrice*(UnitsInStock+NVL(UnitsOnOrder,0))

FROM Products

MySQL

 

MySQL does have an ISNULL() function. However, it works a little bit different from Microsoft's ISNULL() function.

 

In MySQL we can use the IFNULL() function, like this:

 

SELECT ProductName,UnitPrice*(UnitsInStock+IFNULL(UnitsOnOrder,0))

FROM Products

or we can use the COALESCE() function, like this:

 

SELECT ProductName,UnitPrice*(UnitsInStock+COALESCE(UnitsOnOrder,0))

FROM Products