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High Performance with Java

High Performance with Java

By : Dr. Edward Lavieri Jr.
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High Performance with Java

High Performance with Java

By: Dr. Edward Lavieri Jr.

Overview of this book

Building high performance into your applications is key to creating an optimal user experience, although it is not the only consideration for the performant nature of your apps. High performance applications can lead to cost-effective resource utilization, especially when scalability and cloud computing are involved. They can also provide highly reliable systems that are easier to maintain. High Performance with Java begins by helping you explore the Java Virtual Machine (JVM) and understand how to push it to its limits to further optimize your programs. You’ll take a hands-on approach to go through memory optimization strategies, input/output operations, concurrency, networking, as well as frameworks and libraries focused on performance. You’ll also learn key strategies and best practices by using industry-relevant examples to architect scalable and resource-efficient applications. The concluding chapters provide valuable insights on optimizing your Java code when interacting with databases and show you how to leverage artificial intelligence (AI) for high performance Java applications. By the end of this book, you’ll grasp the importance of developing high performance Java applications and gain practical experience in implementing key strategies to help ensure your Java applications perform optimally.
Table of Contents (26 chapters)
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1
Part 1: Code Optimization
7
Part 2: Memory Optimization and I/O Operations
11
Part 3: Concurrency and Networking
15
Part 4: Frameworks, Libraries, and Profiling
19
Part 5: Advanced Topics

Case studies

This section presents three real-world case studies using the book inventory and order processing database featured throughout this chapter. A review of the case studies will demonstrate how the strategies and techniques presented in this chapter can be used to solve common database performance problems.

Each case study is presented in the following format:

  • The scenario
  • The initial SQL query
  • The problem
  • The optimization steps
  • The result

Case study 1

Scenario: Every time the bookstore’s administrator runs the sales report, it takes several minutes – much longer than it should. The report simply summarizes total sales by title. The database schema is the same as the one presented earlier in this chapter.

Initial SQL query:

SELECT b.Title, SUM(o.Qty * o.Price) AS TotalSales
FROM Orders o
JOIN Books b ON o.BookID = b.BookID
GROUP BY b.Title;

Problem: The query performs a full table scan of both the Books and Orders...

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High Performance with Java
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