Oracle Database SQL Certified Associate
1 Introduction to SQL
1-1 Overview of SQL
1-2 History of SQL
1-3 SQL Standards
2 SQL Data Types
2-1 Numeric Data Types
2-2 Character Data Types
2-3 Date and Time Data Types
2-4 Large Object (LOB) Data Types
2-5 Miscellaneous Data Types
3 Creating and Managing Tables
3-1 Creating Tables
3-2 Modifying Tables
3-3 Dropping Tables
3-4 Table Constraints
3-5 Temporary Tables
4 Data Manipulation Language (DML)
4-1 Inserting Data
4-2 Updating Data
4-3 Deleting Data
4-4 Selecting Data
4-5 Using Subqueries
5 Data Control Language (DCL)
5-1 Granting Privileges
5-2 Revoking Privileges
6 Data Definition Language (DDL)
6-1 Creating Tables
6-2 Altering Tables
6-3 Dropping Tables
6-4 Creating Indexes
6-5 Dropping Indexes
6-6 Creating Views
6-7 Dropping Views
7 SQL Functions
7-1 Single-Row Functions
7-2 Aggregate Functions
7-3 Group Functions
7-4 Analytical Functions
8 Joins and Subqueries
8-1 Inner Joins
8-2 Outer Joins
8-3 Self-Joins
8-4 Cross Joins
8-5 Subqueries
9 Set Operators
9-1 UNION
9-2 UNION ALL
9-3 INTERSECT
9-4 MINUS
10 Grouping and Aggregation
10-1 GROUP BY Clause
10-2 HAVING Clause
10-3 ROLLUP and CUBE
10-4 GROUPING SETS
11 Transactions and Concurrency
11-1 Transaction Control Statements
11-2 Locking and Concurrency
11-3 Isolation Levels
12 Oracle SQL Developer
12-1 Overview of Oracle SQL Developer
12-2 Using SQL Worksheet
12-3 Managing Connections
12-4 Running Scripts
13 Advanced SQL Topics
13-1 Recursive Queries
13-2 Model Clause
13-3 PIVOT and UNPIVOT
13-4 Flashback Query
14 Performance Tuning
14-1 Query Optimization
14-2 Indexing Strategies
14-3 Analyzing Query Performance
15 Security and Auditing
15-1 User Management
15-2 Role Management
15-3 Auditing SQL Statements
16 Backup and Recovery
16-1 Backup Strategies
16-2 Recovery Strategies
16-3 Using RMAN
17 Oracle Database Architecture
17-1 Overview of Oracle Database Architecture
17-2 Memory Structures
17-3 Process Structures
17-4 Storage Structures
18 PLSQL Basics
18-1 Introduction to PLSQL
18-2 PLSQL Block Structure
18-3 Variables and Data Types
18-4 Control Structures
18-5 Exception Handling
19 Oracle SQL Certification Exam Preparation
19-1 Exam Objectives
19-2 Sample Questions
19-3 Practice Tests
19-4 Exam Tips
Altering Tables in Oracle SQL

Altering Tables in Oracle SQL

Key Concepts

Altering tables in Oracle SQL involves modifying the structure of an existing table. This can include adding, modifying, or dropping columns, as well as changing table constraints and properties. Understanding the following key concepts is essential for effectively altering tables:

1. ALTER TABLE Statement

The ALTER TABLE statement is used to modify the structure of an existing table. It allows you to add, modify, or drop columns, change data types, and add or drop constraints.

2. Adding Columns

Adding columns to an existing table is a common operation when you need to store additional information. The ADD clause is used to add one or more columns to a table.

3. Modifying Columns

Modifying columns involves changing the data type, size, or default value of an existing column. The MODIFY clause is used to make these changes.

4. Dropping Columns

Dropping columns is the process of removing one or more columns from a table. The DROP COLUMN clause is used to perform this operation.

5. Renaming Columns

Renaming columns is useful when you need to change the name of a column without altering its data or properties. The RENAME COLUMN clause is used for this purpose.

6. Adding Constraints

Adding constraints ensures data integrity by enforcing rules on the data in a table. The ADD CONSTRAINT clause is used to add constraints such as primary keys, foreign keys, and unique constraints.

Detailed Explanation

1. ALTER TABLE Statement

The ALTER TABLE statement is the primary command used to modify the structure of a table. The basic syntax is:

ALTER TABLE table_name action;

For example, to add a new column to the "Employees" table:

ALTER TABLE Employees ADD (Email VARCHAR2(100));

2. Adding Columns

Adding columns allows you to store additional information in a table. For example, to add a "PhoneNumber" column to the "Employees" table:

ALTER TABLE Employees ADD (PhoneNumber VARCHAR2(20));

3. Modifying Columns

Modifying columns is useful when you need to change the data type or size of a column. For example, to change the data type of the "PhoneNumber" column to a number:

ALTER TABLE Employees MODIFY (PhoneNumber NUMBER(10));

4. Dropping Columns

Dropping columns removes unnecessary columns from a table. For example, to drop the "Email" column from the "Employees" table:

ALTER TABLE Employees DROP COLUMN Email;

5. Renaming Columns

Renaming columns is useful when you need to change the name of a column without altering its data. For example, to rename the "PhoneNumber" column to "ContactNumber":

ALTER TABLE Employees RENAME COLUMN PhoneNumber TO ContactNumber;

6. Adding Constraints

Adding constraints ensures data integrity. For example, to add a primary key constraint to the "EmployeeID" column:

ALTER TABLE Employees ADD CONSTRAINT pk_employee PRIMARY KEY (EmployeeID);

Understanding and effectively using the ALTER TABLE statement is essential for managing the structure of your database tables. By mastering the ability to add, modify, drop, rename columns, and add constraints, you can ensure that your database remains flexible and adaptable to changing requirements.