Deep Dive into the Java Virtual Machine (JVM)
Tags: android, java, development, mobile
Published: 2024-06-06 04:22:27

### 1. Preface
The Java Virtual Machine (JVM) is the core component of the Java platform, enabling Java programs to "write once, run anywhere." In this article, we will delve into the JVM to help you better understand it.

### 2. Basic Concepts of JVM

#### 2.1. What is JVM?

The JVM (Java Virtual Machine) is an **abstract computing machine** that does not interact directly with hardware but executes Java bytecode through the operating system. This design gives Java programs the "write once, run anywhere" feature, as Java bytecode can run wherever there is a JVM.

#### 2.2. Components of JVM

The JVM consists of several key components:

- **ClassLoader**: Responsible for reading `.class` files (Java bytecode files) and loading them into the JVM. The ClassLoader follows a strategy called the "parent delegation model" to ensure class uniqueness and security.
- **Runtime Data Area**: This is where the JVM allocates and manages memory for Java programs. It includes the Heap, Stack, Method Area, etc.
  - **Heap**: Used to store all Java object instances.
  - **Stack**: Each thread has a private stack for storing local variables, method calls, etc.
  - **Method Area**: Also known as the "Permanent Generation" (PermGen, but replaced by Metaspace in Java 8), used to store class metadata.
- **Execution Engine**: The core of the JVM, responsible for interpreting and executing Java bytecode instructions. Modern JVMs typically use Just-In-Time (JIT) compilers to optimize bytecode execution.
- **Native Interface**: Allows Java programs to call native methods, i.e., functions written in languages like C or C++.

### 3. Working Principle of JVM

#### 3.1. Loading Process

When a Java program starts, the JVM loads the required `.class` files. This process includes:

1. **Loading**: The ClassLoader reads the `.class` file into memory.
2. **Verification**: The JVM checks if the class file conforms to Java bytecode specifications.
3. **Preparation**: Memory is allocated for class variables, and default values are set.
4. **Resolution**: Symbolic references (like method names, field names) in the class are resolved to direct references (i.e., memory addresses).
5. **Initialization**: Static initialization blocks and static variable assignments in the class are executed.

#### 3.2. Bytecode Execution

The JVM executes bytecode in two main ways:

- **Interpretation**: The JVM reads and executes bytecode instructions one by one. This method is simple but less efficient.
- **Just-In-Time (JIT) Compilation**: The JVM compiles frequently executed code (hotspots) into native machine code to improve execution efficiency.

#### 3.3. Memory Management

The JVM manages memory for Java programs, including:

- **Heap**: Stores all Java object instances. The JVM's garbage collector periodically cleans up objects in the heap that are no longer in use.
- **Stack**: Each thread has its own stack for storing local variables, method calls, etc. When a method is called, the JVM allocates a stack frame for it.
- **Method Area**: Stores class metadata, such as class names, field names, method signatures, etc.

### 4. JVM Performance Optimization and Monitoring

#### 4.1. Performance Optimization

To improve JVM performance, developers can take the following measures:

1. **Configure Heap Memory Reasonably**
   - **Set Heap Size**: Set the JVM heap size based on the application's memory requirements and available physical memory. Avoid setting the heap too small, which can lead to frequent garbage collection, and avoid setting it too large, which can waste memory.
   - **Adjust the Ratio of Young and Old Generations**: Allocate the sizes of the young and old generations reasonably to balance the frequency and overhead of garbage collection.

2. **Choose an Appropriate Garbage Collector**
   - **Select Based on Application Characteristics**: Different garbage collectors are suitable for different application scenarios. For latency-sensitive applications, consider using the G1 or ZGC garbage collector.

3. **Enable Just-In-Time (JIT) Compilation**
   - **Use the C2 Compiler**: In production environments, enabling the C2 (server-side) compiler can improve the execution efficiency of hotspot code.

4. **Optimize Thread Configuration**
   - **Set Thread Stack Size Reasonably**: Set the thread stack size based on the application's thread usage and available memory.
   - **Use Thread Pools**: Manage threads through thread pools to avoid the overhead of frequent thread creation and destruction.

5. **Reduce Object Creation and Long-Lived Objects**
   - **Avoid Unnecessary Object Creation**: Reuse objects as much as possible to reduce the number of object creations.
   - **Use Weak References**: Use weak references for objects that do not need to be held for a long time to reduce memory usage.

6. **Use Compressed Pointers**
   - **Enable Compressed Pointers**: In a 64-bit JVM, enabling compressed pointers (Compressed Oops) can reduce memory usage and improve cache efficiency.

7. **Optimize Class Loading**
   - **Reduce Class Loading Times**: Avoid unnecessary class loading, such as through lazy loading or on-demand loading.

8. **Monitoring and Diagnosis**
   - **Use JVM Monitoring Tools**: Tools like VisualVM, JProfiler, etc., can regularly monitor JVM performance metrics such as CPU usage, memory usage, etc.
   - **Analyze Garbage Collection Logs**: Enable garbage collection logs to analyze garbage collection behavior and identify potential performance bottlenecks.

9. **Use Ahead-Of-Time (AOT) Compilation**
   - **GraalVM AOT**: For certain types of applications, using GraalVM's Ahead-Of-Time compilation can improve startup time and runtime performance.

10. **Avoid Memory Leaks**
    - **Check and Fix Memory Leaks**: Regularly perform memory analysis to ensure no objects are being held erroneously, leading to memory leaks.

11. **Use Appropriate Data Structures and Algorithms**
    - **Optimize Data Structures**: Choosing appropriate data structures and algorithms can significantly improve program performance.

12. **Code Optimization**
    - **Avoid Excessive Local Variables**: Minimize the use of local variables to reduce memory usage and garbage collection overhead.
    - **Use StringBuilder Instead of String**: Use StringBuilder instead of String in scenarios that require frequent string concatenation.

13. **Reduce System Calls**
    - **Reduce I/O Operations**: Optimize I/O operations to reduce the number of system calls and improve performance.

14. **Use the Latest JVM Version**
    - **Upgrade JVM**: Use the latest JVM version, which usually includes performance improvements and bug fixes.

#### 4.2. Monitoring

Monitoring JVM performance is crucial for timely identifying and resolving issues. Common monitoring tools include:

- **JDK Built-in Tools**: Tools like `jconsole`, `jvisualvm`, etc., can monitor JVM performance metrics in real-time, such as CPU usage, memory usage, etc.
- **Third-Party Monitoring Tools**: Tools like Prometheus, Grafana, etc., can provide more advanced monitoring and alerting capabilities.

These tools help developers gain deep insights into the JVM's running state, thereby optimizing Java program performance.

### 5. JVM Garbage Collection Mechanism

Garbage Collection (GC) is a crucial mechanism for JVM memory management. It automatically detects and recycles memory occupied by objects that are no longer in use, ensuring that the JVM has enough memory space for new objects.

#### 5.1. Basic Principles of Garbage Collection

The garbage collector uses a series of algorithms to detect which objects are "garbage," i.e., no longer referenced by any live objects. Once an object is deemed garbage, it is marked as collectible and will be cleaned up in the next garbage collection cycle.

#### 5.2. Common Garbage Collection Algorithms

- **Mark-and-Sweep Algorithm**: This is the most basic garbage collection algorithm, consisting of two phases: the marking phase and the sweeping phase. The marking phase traverses all live objects, while the sweeping phase recycles the memory occupied by all unmarked objects.
- **Copying Algorithm**: This algorithm divides the available memory into two halves and uses only one half at a time. When one half is full, it copies all live objects to the other half and then clears the used memory space in one go.
- **Generational Collection Algorithm**: This algorithm divides memory into several sections based on the lifespan of objects, typically splitting the Java heap into the young generation and the old generation. This allows the use of the most appropriate collection algorithm for each section. In the young generation, where most objects die quickly, the copying algorithm is used to minimize the cost of copying live objects. In the old generation, where objects have a higher survival rate and there is no extra space for allocation guarantees, the mark-and-sweep or mark-and-compact algorithms are used.

#### 5.3. Garbage Collection Tuning

Tuning the garbage collector is a complex process that involves considering multiple factors, such as heap size, garbage collection frequency, and application characteristics. Some common tuning strategies include:

- **Adjusting Heap Size**: Set the heap size based on the application's requirements to avoid frequent garbage collection.
- **Choosing the Right Garbage Collector**: Different garbage collectors are suitable for different application scenarios, so choose based on the application's characteristics.
- **Tuning Garbage Collection Parameters**: Adjust parameters such as the ratio of the young and old generations and the conditions that trigger Full GC.

### 6. JVM Class Loading Mechanism

Class loading is a crucial step in the JVM startup process, involving loading bytecode files (.class files) into the JVM and initializing classes.

#### 6.1. Class Loading Process

The class loading process includes the following steps:

- **Loading**: The ClassLoader reads the bytecode file into memory and assigns it a unique identifier.
- **Verification**: The JVM checks if the bytecode file conforms to Java bytecode specifications to ensure its security.
- **Preparation**: Memory is allocated for class variables, and default values are set.
- **Resolution**: Symbolic references in the class are resolved to direct references.
- **Initialization**: Static initialization blocks and static variable assignments in the class are executed.

#### 6.2. Parent Delegation Model

Java ClassLoaders use a strategy called the "parent delegation model." According to this model, when a ClassLoader receives a class loading request, it first delegates the request to its parent ClassLoader. Each level of ClassLoader does the same, so all loading requests eventually reach the top-level bootstrap ClassLoader. If the parent ClassLoader cannot handle the request (i.e., it cannot find the required class in its search scope), the current ClassLoader handles it.

This mechanism ensures class uniqueness because each class is loaded only once and ensures security because untrusted ClassLoaders cannot replace already loaded system classes.

### 7. JVM Thread Management

The JVM uses threads to achieve concurrent execution and multitasking. Each thread has its own execution stack and program counter, which together define the thread's execution state.

#### 7.1. Thread Creation and Management

In the JVM, thread creation and management are handled by the `Thread` class and the JVM thread scheduler. Developers can create new threads by creating `Thread` objects and starting them by calling the `start()` method.

#### 7.2. Thread Synchronization and Deadlock

In a multithreaded environment, synchronization and data contention between threads are significant issues. The JVM provides various synchronization mechanisms, such as the `synchronized` keyword and the locks and synchronization utilities in the `java.util.concurrent` package, to help developers manage thread synchronization.

However, improper synchronization can lead to deadlocks. A deadlock occurs when two or more threads are waiting for each other to release resources, causing them to be stuck indefinitely. To avoid deadlocks, developers need to carefully design synchronization strategies and use the synchronization tools provided by the JVM appropriately.

### 8. JVM Exception Handling

Exception handling is a crucial aspect of Java programming. The JVM manages runtime errors through an exception handling mechanism, providing developers with an elegant way to handle these errors.

#### 8.1. Exception Class Hierarchy

In Java, exception classes form a hierarchy, with `Throwable` as the base class for all exceptions. The `Exception` class, derived from `Throwable`, represents recoverable exceptions, while the `Error` class, also derived from `Throwable`, represents unrecoverable errors.

#### 8.2. try-catch and finally Blocks

Java uses `try-catch` blocks to catch and handle exceptions. Developers can place code that might throw an exception in the `try` block. If an exception is thrown, control is transferred to the `catch` block that matches the exception type.

The `finally` block ensures that a segment of code is always executed after the `try-catch` block, regardless of whether an exception occurred. This is useful for releasing resources, such as closing files or database connections.

#### 8.3. Custom Exceptions

Developers can create custom exceptions by extending the `Exception` class or its subclasses. This makes exception handling more flexible, allowing different types of exceptions to be handled according to specific business logic.

### 9. JVM Debugging and Diagnostic Tools

The JVM provides a range of debugging and diagnostic tools to help developers understand and resolve runtime issues.

#### 9.1. jstack and jmap

The `jstack` tool prints the thread stack traces of a running JVM process, which is useful for diagnosing deadlocks and performance issues. The `jmap` tool generates heap dump files, which can be used to analyze memory leaks and garbage collection issues.

#### 9.2. jhat and jvisualvm

The `jhat` tool is a command-line utility for analyzing heap dump files. It can generate HTML reports to help developers view and analyze objects in the heap. `jvisualvm` is a graphical tool that provides a more intuitive interface for viewing and analyzing JVM performance metrics and heap dump files.

#### 9.3. Java Mission Control

Java Mission Control (JMC) is a powerful flight recorder and monitoring tool for collecting and analyzing JVM performance data. It helps developers identify performance bottlenecks, memory leaks, and other runtime issues.

By using these tools, developers can gain deep insights into the JVM's running state, enabling them to optimize Java program performance and resolve issues effectively.

### 10. Codia AI's products
Codia AI has rich experience in multimodal, image processing, development, and AI.
1.[**Codia AI Figma to code:HTML, CSS, React, Vue, iOS, Android, Flutter, Tailwind, Web, Native,...**](https://codia.ai/s/YBF9)

![Codia AI Figma to code](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xml2pgydfe3bre1qea32.png)

2.[**Codia AI DesignGen: Prompt to UI for Website, Landing Page, Blog**](https://codia.ai/t/pNFx)

![Codia AI DesignGen](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/55kyd4xj93iwmv487w14.jpeg)

3.[**Codia AI Design: Screenshot to Editable Figma Design**](https://codia.ai/d/5ZFb)

![Codia AI Design](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qrl2lyk3m4zfma43asa0.png)

4.[**Codia AI VectorMagic: Image to Full-Color Vector/PNG to SVG**](https://codia.ai/v/bqFJ)

![Codia AI VectorMagic](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/hylrdcdj9n62ces1s5jd.jpeg)