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Learn Java 17 Programming

You're reading from   Learn Java 17 Programming Learn the fundamentals of Java Programming with this updated guide with the latest features

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Product type Paperback
Published in Jul 2022
Publisher Packt
ISBN-13 9781803241432
Length 748 pages
Edition 2nd Edition
Languages
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Author (1):
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Nick Samoylov Nick Samoylov
Author Profile Icon Nick Samoylov
Nick Samoylov
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Table of Contents (23) Chapters Close

Preface 1. Part 1: Overview of Java Programming
2. Chapter 1: Getting Started with Java 17 FREE CHAPTER 3. Chapter 2: Java Object-Oriented Programming (OOP) 4. Chapter 3: Java Fundamentals 5. Part 2: Building Blocks of Java
6. Chapter 4: Exception Handling 7. Chapter 5: Strings, Input/Output,and Files 8. Chapter 6: Data Structures, Generics, and Popular Utilities 9. Chapter 7: Java Standard and External Libraries 10. Chapter 8: Multithreading and Concurrent Processing 11. Chapter 9: JVM Structure and Garbage Collection 12. Chapter 10: Managing Data in a Database 13. Chapter 11: Network Programming 14. Chapter 12: Java GUI Programming 15. Part 3: Advanced Java
16. Chapter 13: Functional Programming 17. Chapter 14: Java Standard Streams 18. Chapter 15: Reactive Programming 19. Chapter 16: Java Microbenchmark Harness 20. Chapter 17: Best Practices for Writing High-Quality Code 21. Assessments 22. Other Books You May Enjoy

Creating a database

Java Database Connectivity (JDBC) is a Java functionality that allows you to access and modify data in a database. It is supported by the JDBC API (which includes the java.sql, javax.sql, and java.transaction.xa packages) and the database-specific class that implements an interface for database access (called a database driver), which is provided by each database vendor.

Using JDBC means writing Java code that manages data in a database using the interfaces and classes of the JDBC API and a database-specific driver, which knows how to establish a connection with the particular database. Using this connection, an application can then issue requests written in SQL.

Naturally, we are only referring to the databases that understand SQL here. They are called relational or tabular database management systems (DBMSs) and make up the vast majority of the currently used DBMSs – although some alternatives (for example, a navigational database and NoSQL) are used...

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