Java with Oracle Course

Lesson 1 • Oracle Database Installation and Configuration

Install Oracle Database Express Edition and configure listener and services. This section ensures a local Oracle instance is available for JDBC practice.

Lesson 2 • IDE Setup for Java Oracle Projects

Configure IntelliJ IDEA or Eclipse for Java Oracle development. A properly configured IDE accelerates coding, debugging, and database connectivity tasks.

Lesson 3 • Oracle SQL Developer Essentials

Use Oracle SQL Developer to browse schemas, run queries, and manage objects. This tool complements Java development by providing direct database inspection.

Lesson 1 • Exception Handling and Resource Management

Handle checked and unchecked exceptions and use try-with-resources. Proper exception handling is critical for reliable JDBC connection and query management.

Lesson 2 • Collections and Generics

Use List, Map, and Set to store and process database result sets in memory. Generics enforce type safety when handling query results as Java objects.

Lesson 3 • Java I/O and Properties Files

Read and write files and load configuration from properties files. Externalizing database credentials and URLs into properties files is a standard practice.

Lesson 4 • Object-Oriented Programming Principles

Apply encapsulation, inheritance, and polymorphism in Java classes. OOP design directly shapes how database entity models and DAO classes are structured.

Lesson 1 • DML: Querying and Modifying Data

Execute SELECT, INSERT, UPDATE, and DELETE statements with Oracle syntax. These DML operations map directly to JDBC PreparedStatement calls in Java code.

Lesson 2 • Oracle Functions and Expressions

Apply Oracle built-in functions for strings, dates, and numbers in queries. Using server-side functions reduces data processing load in Java application code.

Lesson 3 • DDL: Creating and Managing Schema Objects

Write CREATE, ALTER, and DROP statements for tables, sequences, and indexes. Schema objects created here are used in all subsequent Java JDBC exercises.

Lesson 4 • Transactions and Concurrency Basics

Understand COMMIT, ROLLBACK, and Oracle locking behavior. Transaction awareness is essential before managing JDBC transactions programmatically in Java.

Lesson 1 • ResultSet Metadata and Column Mapping

Inspect ResultSetMetaData to discover column names and types at runtime. Dynamic metadata reading enables generic data-access utilities and reporting tools.

Lesson 2 • Establishing and Managing Connections

Open, test, and close Oracle connections using DriverManager and DataSource. Reliable connection management prevents resource leaks in long-running applications.

Lesson 3 • JDBC Architecture and Oracle Driver

Understand the JDBC API layers and load the Oracle Thin JDBC driver. Knowing the driver architecture explains connection URL formats and driver class names.

Lesson 4 • Parameterized Queries with PreparedStatement

Use PreparedStatement to execute parameterized INSERT, UPDATE, and SELECT. Parameterization prevents SQL injection and improves Oracle query plan reuse.

Lesson 1 • Programmatic Transaction Management

Disable auto-commit and manage COMMIT and ROLLBACK from Java code. Explicit transaction control ensures data integrity across multi-step database operations.

Lesson 2 • Large Object Handling in JDBC

Read and write Oracle CLOB and BLOB columns from Java using JDBC LOB APIs. Proper LOB streaming avoids out-of-memory errors when handling large binary or text data.

Lesson 3 • Calling Stored Procedures with CallableStatement

Invoke Oracle stored procedures and functions using CallableStatement. This bridges Java application logic with server-side PL/SQL business rules already in Oracle.

Lesson 4 • Batch Inserts and Updates

Use addBatch() and executeBatch() to send multiple DML statements in one round trip. Batch processing dramatically reduces network overhead for bulk Oracle operations.

Lesson 1 • PL/SQL Fundamentals for Java Developers

Write basic PL/SQL blocks, variables, and control structures. Java developers need PL/SQL literacy to read, debug, and call existing Oracle server-side code.

Lesson 2 • Triggers and Automated Database Logic

Create DML triggers that fire automatically on table events. Understanding triggers helps Java developers anticipate side effects during INSERT, UPDATE, and DELETE operations.

Lesson 3 • PL/SQL Packages

Organize related procedures and functions into Oracle packages with spec and body. Packages improve modularity and reduce Java code changes when Oracle logic evolves.

Lesson 4 • Cursors and REF CURSORs

Use explicit cursors and SYS_REFCURSOR to return result sets from PL/SQL to Java. REF CURSORs allow Oracle procedures to pass query results directly to JDBC.

Lesson 1 • Error Handling and Custom Exceptions

Translate SQLExceptions into meaningful application-level exceptions. Proper error abstraction prevents database implementation details from leaking into business logic.

Lesson 2 • Entity and Value Object Modeling

Model Oracle table rows as Java entity classes with proper field mapping. Well-designed entities reduce boilerplate and clarify the relationship between Java and Oracle schemas.

Lesson 3 • Configuration and Dependency Management

Externalize JDBC configuration and manage dependencies with Maven or Gradle. Proper build tool setup ensures reproducible Oracle JDBC projects across environments.

Lesson 4 • Data Access Object Pattern

Implement the DAO pattern to separate database logic from business logic. DAOs encapsulate all JDBC code, making the application easier to test and maintain.

Lesson 1 • Oracle Advanced Data Types in Java

Work with Oracle XMLTYPE, JSON columns, and spatial data from Java. Modern Oracle schemas increasingly use these types, requiring specialized JDBC handling.

Lesson 2 • Oracle Partitioning and Parallel Query

Leverage Oracle table partitioning and parallel execution for large dataset queries. These features reduce query time for analytics-heavy Java Oracle applications.

Lesson 3 • Advanced JDBC Performance Techniques

Apply fetch size tuning, statement caching, and array DML to maximize JDBC throughput. These JDBC-level optimizations complement Oracle server-side tuning efforts.

Lesson 4 • Query Optimization and Execution Plans

Analyze Oracle execution plans to identify slow queries called from Java. Understanding plan operations guides index creation and SQL rewriting for better performance.