INTRODUCTION TO SQL
Presented by :
DEFINITION
Structured Query Language (SQL) is a high-level
language that allows users to manipulate relational data
One of the strengths of SQL is that users need
THREE SQL CATEGORIES
DDL – Data definition language used to define,
change, or drop database objects
DML – Data manipulation language used to read
and modify data
DCL – Data control language used to grant and
HISTORY OF SQL
Don Chamberlin and Ray Boyce from IBM
Corporation developed the SQL language in the 1970's as part of the System R project; a project established to provide a practical implementation to Codd's relational model
Originally, the language was termed “Structured English Query Language” or SEQUEL, but it was later changed to SQL as SEQUEL was a registered trademark of a UK based company
SQL was adopted as a standard language in 1986 by the American National Standards Institute
DEFINING A RELATIONAL
DATABASE SCHEMA IN SQL
Data Types
Like any programming language, databases also
support a limited set of data types, which can be used to define the types of data a column can store.
Basic data types include integer, float, decimal, char,
DATES AND TIMES DATA TYPES
All databases support various date and time specific data types
and functions
DB2 has the following data types for date and time. :
Date (YYYY-MM-DD)
Time (HH:MM:SS)
Timestamp (YYYY-MM-DD-HH:MM:SS:ssssss)
The following, is a partial set of functions specialized for date
CREATING A TABLE
A table is a data set, organized and stored in
rows and columns.
A table holds data for like items, for example
students, professors, subjects, books etc
Entities in a data model generally map to tables
when implemented in databases. Attributes of entities map to columns of the table
example:
DEFAULT VALUES
When data is inserted into a table, you may want to automatically generate default values for a
few columns
Using default value :
To define a column that will generate a department number as an incremented value of the last
NULL VALUES
A NULL represents an unknown state
For example, a table that stores the course marks of
students can allow for NULL values. This could mean to the teacher that the student did not submit an
assignment, or did not take an exam. It is different from a mark of zero, where a student did take the exam, but failed on all the questions
when you don't want a NULL to be allowed. For
example, if the country field is required for your application, ensure you prevent NULL values as follows
CONSTRAINTS
Constraints allow you to define rules for the data in
your table. There are different types of constraints:
A UNIQUE constraint prevents duplicate values in a table.
This is implemented using unique indexes and is specified in the CREATE TABLE statement using the keyword
UNIQUE. A NULL is part of the UNIQUE data values domain.
A PRIMARY KEY constraint is similar to a UNIQUE
constraint, however it excludes NULL as valid data. Primary keys always have an index associated with it.
A REFERENTIAL constraint is used to support referential
integrity which allows you to manage relationships between tables. This is discussed in more detail in the next section.
A CHECK constraint ensures the values you enter into a
CONSTRAINTS, CONT’D…
The following example shows a table definition
REFERENTIAL INTEGRITY
Referential integrity establishes relationships
between tables.
Using a combination of primary keys and foreign
keys, it can enforce the validity of your data.
Referential integrity reduces application code
complexity by eliminating the need to place data level referential validation at the application
level.
Only tables that have columns defined as
UNIQUE or PRIMARY KEY can be referenced in other tables as foreign keys for referential
REFERENTIAL INTEGRITY,
CONT’D…
Referential integrity can be defined during table definition or after the
table has been created as shown in the example below where three different syntaxes are illustrated:
Sintax 1 :
CREATE TABLE DEPENDANT_TABLE
(ID INTEGER REFERENCES BASE_TABLE(UNIQUE_OR_PRIMARY_KEY), NAME VARCHAR(9),
CREATE TABLE DEPENDANT_TABLE
(ID INTEGER, NAME VARCHAR(9), :
: :,
CONSTRAINT constraint_name FOREIGN KEY (ID)
REFERENTIAL INTEGRITY,
CONT’D…
Sintak 3:
CREATE TABLE DEPENDANT_TABLE
(ID INTEGER,
NAME VARCHAR(9), :
: : );
ALTER TABLE DEPENDANT_TABLE
ADD CONSTRAINT constraint_name FOREIGN KEY (ID)
REFERENCES
REFERENTIAL INTEGRITY,
CONT’D…
There are different rules to handle deletes and updates and the behavior
depends on the following constructs used when defining the tables:
CASCADE
As the name suggests, with the cascade option the operation is cascaded to all rows in the
dependant tables that are referencing the row or value to be modified or deleted in the base table.
SET NULL
With this option all the referring cells in dependant tables are set to NULL NO ACTION
With this option no action is performed as long as referential integrity is maintained before and
after the statement execution.
RESTRICT
With this option, the update or delete of rows having references to dependant tables are not
allowed to continue
The statement below shows where the delete and update rules are specified:
ALTER TABLE DEPENDANT_TABLE
ADD CONSTRAINT constraint_name FOREIGN KEY column_name
ON DELETE <delete_action_type> ON UPDATE <update_action_type> ;
A delete action type can be a CASCADE, SET NULL, NO ACTION, or
CREATING A SCHEMA
Just in the same way we store and manage data
files on a computer in directories or folders and keep related or similar files together;
a schema in DB2 is a database object that allows
you to group related database objects together.
In DB2, every object has two parts, a schema
CREATING A SCHEMA , CONT’D…
To create a schema, use this statement:
create schema mySchema
To create a table with the above schema, explicitly include it in the CREATE TABLE statement as follows:
create table mySchema.myTable (col1 integer)
When the schema is not specified, DB2 uses an implicit schema, which is typically the user ID used to connect to the database. You can also change the implicit schema for your current session with the SET CURRENT SCHEMA command as follows:
MODIFYING DATABASE OBJECTS
Once a database object is created, it may be
necessary to change its properties to suit changing business requirements.
Dropping and recreating the object is one way to
achieve this modification; however, dropping the object has severe side effects.
A better way to modify database objects is to use
the ALTER SQL statement. For example, assuming you would like to change a table
definition so that NULLs are not allowed for a given column, you can try this SQL statement:
RENAMING DATABASE OBJECTS
Once database objects are created, they can be renamed using the SQL statement, RENAME. To rename any database object use the following SQL syntax:
RENAME <object type> <object name> to <new name>
Where the object type can be for example, a table, table space, or index. Not all database objects can be renamed after they are created.
To rename a column, the ALTER TABLE SQL statement should be used in conjunction with RENAME. For example:
DROPING DATABASE TABLE
DROP TABLE statement allows you to remove
tables from your schema:
DROP TABLE SCHEMA.TABLE_NAME
DATA MANIPULATION WITH SQL
Selecting Data
Inserting Data
Deleting Data
STRUCTURE OF AN SQL QUERY
SELECT - Defines result columns
Column names
Arithmetic expressions Literals (text or numeric) Scalar functions
Column functions Concatenation
FROM - Table or view names
ALTERNATE ORDER BY
SPECIFICATIONS
SELECT LASTNAME, FIRSTNME, WORKDEPT,
JOB, SEX FROM EMPLOYEE ORDER BY WORKDEPT DESC, JOB, LASTNAME, SEX DESC
Equivalent ORDER BY clauses:
ORDER BY WORKDEPT DESC, JOB ASC,
LASTNAME ASC, SEX DESC
ORDER BY 3 DESC, 4, 1, 5 DESC
ORDER BY 3 DESC, 4 ASC, 1 ASC, 5 DESC
ORDER BY 3 DESC, JOB, LASTNAME, 5 DESC
ORDER BY WORKDEPT DESC, 4 ASC, 1 ASC,
COMPARISON OPERATORS
SELECT *
FROM EMPLOYEE
WHERE SALARY = 20000 -- equal to
OR SALARY <> 20000 -- not equal to OR SALARY > 20000 -- greater than
OR SALARY >= 20000 -- greater than or equal to
OR SALARY < 20000 -- less than
MAINTAINING DATA
TESTEMP Table
The visual shows the contents of the TESTEMP table.
DDL CREATE TABLE TESTEMP
CREATE TABLE TESTEMP (
EMPNO CHAR(6) NOT NULL,
LASTNAME VARCHAR(15) NOT NULL, WORKDEPT CHAR(3),
HIREDATE DATE,
REMINDERS
You must be authorized to execute CREATE/DROP table
statements
You must be authorized to execute statements which
change table content
Dropping a table drops dependent objects
Search condition in the WHERE clause qualifies rows to be
updated or deleted
Inserting a row into a view actually inserts the row into
the table on which the view is based
Updating a row of a view updates the row of the table on
which the view is based
Omitting the WHERE clause of an UPDATE or DELETE
statement causes all rows of the table or view to be