Advance Programming In Java | 10. JVM Internals and Performance Tuning by Abraham | Learn Smarter
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10. JVM Internals and Performance Tuning

The chapter discusses the Java Virtual Machine (JVM), focusing on its architecture, memory model, execution engine, and garbage collection. It highlights performance tuning techniques and tools that help developers optimize application performance and troubleshoot issues effectively. Mastery of JVM internals is essential for advanced Java developers to build efficient, high-performing applications.

Sections

  • 10

    Jvm Internals And Performance Tuning

    This section covers the architecture and performance tuning of the Java Virtual Machine (JVM), addressing its components, memory model, class loading, execution engine, and garbage collection.

  • 10.1

    Jvm Architecture Overview

    The JVM architecture serves as a crucial foundation for executing Java applications by managing bytecode and optimizing performance through its various components.

  • 10.1.1

    What Is The Jvm?

    The Java Virtual Machine (JVM) is an abstraction layer that runs Java bytecode, enabling Java's cross-platform functionality.

  • 10.1.2

    Components Of The Jvm

    This section details the key components of the Java Virtual Machine (JVM) that contribute to its functionality and performance.

  • 10.1.2.1

    Class Loader Subsystem

    The Class Loader Subsystem dynamically loads, links, and initializes classes in the JVM, playing a critical role in Java application execution.

  • 10.1.2.2

    Runtime Data Areas

    Runtime Data Areas are crucial components of the Java Virtual Machine that manage memory during program execution.

  • 10.1.2.2.1

    Method Area

    The Method Area in the JVM is where class structures and static variables are stored, crucial for understanding memory usage.

  • 10.1.2.2.2

    Heap

    The heap is a crucial memory area in the JVM that is responsible for storing Java objects and class instances.

  • 10.1.2.2.3

    Java Stack

    The Java Stack is part of the JVM architecture that manages method invocation and local variable storage during program execution.

  • 10.1.2.2.4

    Program Counter Register

    The Program Counter Register (PC) is a crucial component of the JVM that tracks the address of the currently executing bytecode instruction.

  • 10.1.2.2.5

    Native Method Stack

    The native method stack is a critical component of the Java Virtual Machine that manages the execution of native methods.

  • 10.1.2.3

    Execution Engine

    The Execution Engine of the JVM is responsible for executing Java bytecode through an interpreter and Just-In-Time (JIT) compiler, optimizing performance.

  • 10.1.2.3.1

    Interpreter

    The Interpreter in the JVM executes Java bytecode instructions line by line, providing a mechanism for running Java applications.

  • 10.1.2.3.2

    Jit Compiler

    The JIT Compiler optimizes Java bytecode into native machine code at runtime, enhancing performance.

  • 10.1.2.3.3

    Garbage Collector (Gc)

    The Garbage Collector (GC) in the JVM manages memory by reclaiming space occupied by unused objects, thus ensuring efficient memory usage.

  • 10.2

    Jvm Memory Model

    The JVM Memory Model describes how memory is organized in the Java Virtual Machine, including heap and non-heap memory areas.

  • 10.2.1

    Heap And Non-Heap Memory

    This section explains the distinction between heap memory and non-heap memory in the Java Virtual Machine (JVM).

  • 10.2.1.1

    Heap Memory

    Heap memory is crucial for storing all Java objects and class instances, significantly affecting performance.

  • 10.2.1.2

    Non-Heap Memory

    Non-Heap Memory in the JVM is responsible for storing metadata, loaded classes, method area, and JIT-compiled code.

  • 10.2.2

    Memory Areas In Detail

    This section provides an in-depth overview of the JVM's memory areas, focusing on the Young Generation, Old Generation, and Metaspace.

  • 10.2.2.1

    Young Generation

    The Young Generation is a critical part of the JVM memory model, where short-lived objects are allocated and managed for performance optimization.

  • 10.2.2.2

    Old Generation (Tenured)

    The Old Generation in JVM memory management is responsible for storing long-lived objects that have been promoted from the Young Generation.

  • 10.2.2.3

    Metaspace (Java 8+)

    Metaspace, introduced in Java 8, replaces PermGen, providing a more flexible memory management solution for storing class metadata.

  • 10.3

    Class Loading In Jvm

    This section outlines the class loading mechanism of the JVM, including the hierarchy of class loaders and the phases of class loading.

  • 10.3.1

    Class Loader Hierarchy

    This section outlines the hierarchy of class loaders in the Java Virtual Machine (JVM), including their roles in loading, linking, and initializing class files.

  • 10.3.1.1

    Bootstrap Classloader

    The Bootstrap ClassLoader is a vital component of Java's class loading mechanism, responsible for loading essential Java classes from the Java Runtime Environment.

  • 10.3.1.2

    Extension Classloader

    The Extension ClassLoader handles loading of extension classes located in designated directories.

  • 10.3.1.3

    Application Classloader

    The Application ClassLoader is a crucial component of the Java ClassLoader subsystem, responsible for loading application-level classes.

  • 10.3.1.4

    Custom Classloaders

    Custom ClassLoaders in the JVM allow developers to load classes in a unique manner beyond the standard hierarchy.

  • 10.3.2

    Class Loading Phases

    This section describes the three main phases of class loading in the Java Virtual Machine (JVM): loading, linking, and initialization.

  • 10.3.2.1

    Linking

    The linking phase in the JVM ensures that bytecode is verified and prepared for execution.

  • 10.3.2.2

    Initialization

    The Initialization phase in JVM is crucial for setting up static variables and executing static blocks of code.

  • 10.4

    Execution Engine

    The Execution Engine of the JVM is responsible for executing Java bytecode, using both an interpreter for initial execution and a Just-In-Time (JIT) compiler for performance optimization.

  • 10.4.1

    Interpreter

    The Interpreter in the Java Virtual Machine executes bytecode instructions one-by-one, providing a slower alternative to compiled execution but useful during startup.

  • 10.4.2

    Just-In-Time (Jit) Compiler

    The Just-In-Time (JIT) compiler optimizes Java bytecode into native machine code at runtime, significantly enhancing application performance.

  • 10.4.2.1

    Techniques

    This section outlines the techniques employed by the Just-In-Time (JIT) compiler to optimize Java bytecode execution.

  • 10.4.2.1.1

    Method Inlining

    Method inlining is a JIT compilation technique that replaces method calls with the actual method body to enhance performance.

  • 10.4.2.1.2

    Loop Unrolling

    Loop unrolling is a performance optimization technique used by the JIT compiler to reduce the overhead of loop control.

  • 10.4.2.1.3

    Dead Code Elimination

    Dead code elimination is a JIT compilation technique that removes code that is never executed, optimizing performance.

  • 10.5

    Garbage Collection (Gc)

    Garbage Collection (GC) is an essential JVM process that automatically manages memory by reclaiming space occupied by objects that are no longer needed.

  • 10.5.1

    Types Of Garbage Collectors

    This section details various types of garbage collectors available in the Java Virtual Machine (JVM) and their specific use cases.

  • 10.5.1.1

    Serial Gc

    Serial Garbage Collection (GC) is designed for single-threaded environments, focusing on simplicity and effectiveness for smaller applications.

  • 10.5.1.2

    Parallel Gc

    Parallel GC is designed to utilize multiple threads to handle garbage collection in Java efficiently.

  • 10.5.1.3

    Cms (Concurrent Mark-Sweep)

    The CMS (Concurrent Mark-Sweep) garbage collector minimizes pause times in Java applications by performing garbage collection concurrently with the application threads.

  • 10.5.1.4

    G1 Gc (Garbage First)

    The G1 Garbage Collector (G1 GC) optimizes garbage collection for both latency and throughput, making it suitable for large applications.

  • 10.5.1.5

    Zgc And Shenandoah

    This section covers ZGC and Shenandoah, two low-latency garbage collectors designed for large heaps in Java applications.

  • 10.5.2

    Gc Phases

    This section covers the three key phases of Garbage Collection in the JVM: Mark, Sweep, and Compact.

  • 10.5.2.1

    Sweep

    The Sweep phase of garbage collection focuses on cleaning up dead objects to reclaim memory resources.

  • 10.5.3

    Gc Tuning

    GC tuning involves configuring JVM options to optimize garbage collection performance.

  • 10.5.3.1

    Jvm Options

    JVM options are essential parameters that control the behavior of the Java Virtual Machine, enabling performance optimization and efficiency in Java applications.

  • 10.5.3.2

    Monitor Gc Logs Using Tools Like

    This section focuses on monitoring garbage collection (GC) logs in the Java Virtual Machine (JVM) using various tools.

  • 10.6

    Performance Tuning Techniques

    This section discusses various performance tuning techniques for the Java Virtual Machine (JVM) to improve application efficiency.

  • 10.6.1

    Heap Sizing

    Heap sizing involves setting optimal values for the Java heap memory to ensure efficient application performance.

  • 10.6.2

    Gc Optimization

    GC optimization involves selecting the appropriate garbage collector and managing its performance to enhance application efficiency.

  • 10.6.3

    Jit And Code Optimization

    This section discusses Just-In-Time (JIT) compilation and its role in optimizing Java code execution.

  • 10.6.4

    Thread And Concurrency Management

    This section covers the effective management of threads and concurrency in Java applications, focusing on using thread pools and tuning stack sizes to avoid common issues.

  • 10.7

    Jvm Monitoring And Profiling Tools

    This section covers various tools used for monitoring and profiling the Java Virtual Machine (JVM) to enhance performance and diagnose issues.

  • 10.7.1

    Command-Line Tools

    This section discusses essential command-line tools used for monitoring and profiling the Java Virtual Machine (JVM).

  • 10.7.2

    Gui Tools

    This section covers GUI tools used for JVM monitoring and profiling, emphasizing their functionalities and importance in performance tuning.

  • 10.8

    Jvm Tuning Parameters And Flags

    This section outlines essential JVM tuning parameters and associated flags that optimize Java application performance.

  • 10.8.1

    Common Jvm Flags

    This section discusses common JVM flags used to configure the Java Virtual Machine's behavior.

  • 10.8.2

    Diagnostic Flags

    Diagnostic flags in the JVM allow developers to access experimental tuning parameters for advanced performance tuning.

References

AJP ch10.pdf

Class Notes

Memorization

What we have learnt

  • The Java Virtual Machine se...
  • Understanding JVM's memory ...
  • Utilizing JVM tuning parame...

Final Test

Revision Tests