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
Creating Indexes in Oracle SQL

Creating Indexes in Oracle SQL

Indexes in Oracle SQL are database objects that improve the speed of data retrieval operations on tables. They work by creating a data structure that allows the database to locate rows more efficiently. Understanding how to create and manage indexes is crucial for optimizing query performance.

Key Concepts

1. Index Definition

An index is a schema object that contains an entry for each value of the indexed column(s) and provides direct, fast access to rows. Indexes can be created on one or more columns of a table.

2. Types of Indexes

Oracle supports several types of indexes, including:

3. CREATE INDEX Statement

The CREATE INDEX statement is used to create an index on a table. The basic syntax is:

CREATE INDEX index_name ON table_name (column_name);

4. Unique Indexes

Unique indexes ensure that the indexed column(s) do not contain duplicate values. They can be created using the UNIQUE keyword.

5. Index Maintenance

Indexes need to be maintained to ensure they remain effective. This includes monitoring index usage and rebuilding or reorganizing indexes as needed.

Detailed Explanation

1. Index Definition

An index is similar to an index in a book. Just as an index in a book helps you quickly find information, an index in a database helps the database engine quickly locate data. For example, if you have a table with millions of rows, an index on a frequently queried column can significantly speed up data retrieval.

2. Types of Indexes

Different types of indexes are suited for different scenarios:

3. CREATE INDEX Statement

To create a B-Tree index on a column named "LastName" in a table named "Employees", you would use:

CREATE INDEX idx_lastname ON Employees(LastName);

To create a composite index on columns "FirstName" and "LastName", you would use:

CREATE INDEX idx_name ON Employees(FirstName, LastName);

4. Unique Indexes

Unique indexes ensure that the indexed column(s) do not contain duplicate values. For example, to create a unique index on a column named "Email" in a table named "Users", you would use:

CREATE UNIQUE INDEX idx_email ON Users(Email);

5. Index Maintenance

Indexes need regular maintenance to ensure they remain effective. This includes monitoring index usage and rebuilding or reorganizing indexes as needed. For example, to rebuild an index named "idx_lastname", you would use:

ALTER INDEX idx_lastname REBUILD;

By understanding and effectively using indexes, you can significantly improve the performance of your Oracle SQL queries, ensuring that your database operations are efficient and fast.