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
Deleting Data in Oracle SQL

Deleting Data in Oracle SQL

Key Concepts

Deleting data in Oracle SQL involves removing rows from a table. This operation is performed using the DELETE statement. Understanding the following key concepts is essential for effectively deleting data:

1. DELETE Statement

The DELETE statement is used to remove one or more rows from a table. It can be used with or without a WHERE clause. When used without a WHERE clause, it deletes all rows from the table. When used with a WHERE clause, it deletes only the rows that meet the specified condition.

2. WHERE Clause

The WHERE clause is used to specify the condition that rows must meet to be deleted. It allows for precise control over which rows are removed. Without a WHERE clause, all rows in the table are deleted.

3. TRUNCATE TABLE

The TRUNCATE TABLE statement is a faster alternative to the DELETE statement for removing all rows from a table. Unlike DELETE, it does not generate individual row delete operations and cannot be rolled back. It is useful for quickly clearing large tables.

4. Cascading Deletes

Cascading deletes are used when deleting a row from a parent table also deletes related rows in a child table. This is achieved by defining a ON DELETE CASCADE constraint when creating the foreign key relationship.

Detailed Explanation

1. DELETE Statement

The basic syntax for the DELETE statement is:

DELETE FROM table_name WHERE condition;

If the WHERE clause is omitted, all rows in the table are deleted.

Example: Deleting a specific employee from the 'Employees' table:

DELETE FROM Employees WHERE EmployeeID = 101;

2. WHERE Clause

The WHERE clause allows you to specify conditions that rows must meet to be deleted. This is useful for targeting specific rows without affecting others.

Example: Deleting all employees who were hired before a specific date:

DELETE FROM Employees WHERE HireDate < TO_DATE('2020-01-01', 'YYYY-MM-DD');

3. TRUNCATE TABLE

The TRUNCATE TABLE statement is used to remove all rows from a table quickly. It is faster than the DELETE statement because it does not generate individual row delete operations.

Example: Truncating the 'Employees' table to remove all rows:

TRUNCATE TABLE Employees;

4. Cascading Deletes

Cascading deletes ensure that when a row in a parent table is deleted, all related rows in a child table are also deleted. This is useful for maintaining referential integrity.

Example: Creating a foreign key with cascading delete:

CREATE TABLE Orders ( OrderID NUMBER PRIMARY KEY, EmployeeID NUMBER, FOREIGN KEY (EmployeeID) REFERENCES Employees(EmployeeID) ON DELETE CASCADE );

Now, deleting an employee will also delete all their orders.