Convert Figma logo to code with AI

qos-ch logologback

The reliable, generic, fast and flexible logging framework for Java.

2,981
1,276
2,981
284

Top Related Projects

10,434

A logger with a small, extensible API which provides utility on top of Android's normal Log class.

6,291

NLog - Advanced and Structured Logging for Various .NET Platforms

21,865

Blazing fast, structured, leveled logging in Go.

Quick Overview

Logback is a reliable, flexible, and fast logging framework for Java applications. It serves as a successor to the popular Log4j project and is designed to be highly performant while offering powerful configuration options and extensibility.

Pros

  • High performance and low memory footprint
  • Extensive configuration options through XML or Groovy
  • Automatic reloading of configuration files
  • Built-in support for SLF4J (Simple Logging Facade for Java)

Cons

  • Steeper learning curve compared to simpler logging frameworks
  • XML configuration can be verbose and complex for beginners
  • Limited built-in support for cloud-native logging patterns
  • Some users report occasional classpath issues with SLF4J bindings

Code Examples

  1. Basic logging:
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class Example {
    private static final Logger logger = LoggerFactory.getLogger(Example.class);

    public void doSomething() {
        logger.info("This is an info message");
        logger.error("This is an error message");
    }
}
  1. Parameterized logging:
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

public class Example {
    private static final Logger logger = LoggerFactory.getLogger(Example.class);

    public void processOrder(String orderId, double amount) {
        logger.info("Processing order: {} with amount: {}", orderId, amount);
    }
}
  1. Using MDC (Mapped Diagnostic Context):
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.slf4j.MDC;

public class Example {
    private static final Logger logger = LoggerFactory.getLogger(Example.class);

    public void processUserRequest(String userId) {
        MDC.put("userId", userId);
        try {
            logger.info("User request started");
            // Process request
            logger.info("User request completed");
        } finally {
            MDC.remove("userId");
        }
    }
}

Getting Started

  1. Add Logback dependencies to your project (e.g., in Maven):
<dependencies>
    <dependency>
        <groupId>ch.qos.logback</groupId>
        <artifactId>logback-classic</artifactId>
        <version>1.4.7</version>
    </dependency>
</dependencies>
  1. Create a logback.xml configuration file in your src/main/resources directory:
<configuration>
    <appender name="CONSOLE" class="ch.qos.logback.core.ConsoleAppender">
        <encoder>
            <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
        </encoder>
    </appender>
    <root level="INFO">
        <appender-ref ref="CONSOLE" />
    </root>
</configuration>
  1. Start using Logback in your Java code as shown in the code examples above.

Competitor Comparisons

10,434

A logger with a small, extensible API which provides utility on top of Android's normal Log class.

Pros of Timber

  • Lightweight and specifically designed for Android
  • Easy to set up and use with minimal configuration
  • Supports custom log adapters for flexibility

Cons of Timber

  • Limited functionality compared to Logback
  • Lacks advanced features like log rotation and compression
  • Not suitable for non-Android Java applications

Code Comparison

Timber:

Timber.d("Debug message");
Timber.i("Info message");
Timber.e("Error message");

Logback:

logger.debug("Debug message");
logger.info("Info message");
logger.error("Error message");

Both Timber and Logback provide logging capabilities for Java applications, but they serve different purposes. Timber is a lightweight logging library specifically designed for Android development, offering simplicity and ease of use. It requires minimal setup and provides a clean API for logging.

Logback, on the other hand, is a more comprehensive logging framework for Java applications. It offers advanced features like log rotation, compression, and extensive configuration options. Logback is part of the SLF4J project and is widely used in server-side Java applications.

While Timber excels in Android development due to its simplicity and Android-specific features, Logback is better suited for complex Java applications that require more advanced logging capabilities and fine-grained control over log output.

6,291

NLog - Advanced and Structured Logging for Various .NET Platforms

Pros of NLog

  • More flexible configuration options, including XML, JSON, and programmatic setup
  • Broader target platform support, including .NET Framework, .NET Core, and Xamarin
  • Extensive layout renderers for customizing log output

Cons of NLog

  • Slightly steeper learning curve due to more configuration options
  • Performance can be marginally slower in some scenarios
  • Less widespread adoption in the Java ecosystem

Code Comparison

NLog:

Logger logger = LogManager.GetCurrentClassLogger();
logger.Info("Hello, NLog!");
logger.Error(ex, "An error occurred");

Logback:

Logger logger = LoggerFactory.getLogger(getClass());
logger.info("Hello, Logback!");
logger.error("An error occurred", ex);

Key Differences

  • NLog is primarily for .NET ecosystems, while Logback is Java-focused
  • NLog offers more built-in targets and layout renderers out of the box
  • Logback has tighter integration with SLF4J, a popular logging facade for Java
  • NLog's configuration is typically more verbose but offers greater flexibility
  • Logback generally has a slight performance edge in high-throughput scenarios

Both logging frameworks are robust and feature-rich, with the choice often depending on the specific programming language and ecosystem requirements of the project.

21,865

Blazing fast, structured, leveled logging in Go.

Pros of zap

  • Significantly faster performance due to its zero-allocation approach
  • Highly customizable and extensible logging architecture
  • Built-in support for structured logging

Cons of zap

  • Steeper learning curve compared to Logback's simpler API
  • Less mature ecosystem and fewer integrations with other libraries
  • Primarily designed for Go, limiting its use in other languages

Code Comparison

Logback (Java):

Logger logger = LoggerFactory.getLogger(MyClass.class);
logger.info("User {} logged in", username);

zap (Go):

logger, _ := zap.NewProduction()
defer logger.Sync()
logger.Info("User logged in", zap.String("username", username))

Both libraries support structured logging, but zap's approach is more explicit and type-safe. Logback uses string interpolation, while zap uses strongly-typed fields. zap's performance optimizations are evident in its API design, requiring more setup but offering better runtime efficiency.

Convert Figma logo designs to code with AI

Visual Copilot

Introducing Visual Copilot: A new AI model to turn Figma designs to high quality code using your components.

Try Visual Copilot

README

About logback

Thank you for your interest in logback, the reliable, generic, fast and flexible logging library for Java.

The Logback documentation can be found on the project web-site as well as under the docs/ folder of the logback distribution.

Java EE and Jakarta EE versions

Given that downstream users are likely to depend on either Java EE (in the javax namespace) or on Jakarta EE (in the jakarta namespace) in their projects, it was deemed important for logback to support both EE alternatives.

Version 1.3.x supports Java EE, while version 1.4.x supports Jakarta EE. The two versions are feature identical.

Both 1.3.x and 1.4.x series require SLF4J 2.0.x or later.

The 1.3.x series requires Java 8 at runtime. If you wish to build logback from source, you will need Java 9.

The 1.4.x series requires Java 11 at build time and at runtime.

Building logback

Version 1.3.x requires Java 9 to compile and build.

More details on building logback is documented at:

https://logback.qos.ch/setup.html#ide

In case of problems

In case of problems please do not hesitate to post an e-mail message on the logback-user@qos.ch mailing list. However, please do not directly e-mail logback developers. The answer to your question might be useful to other users. Moreover, there are many knowledgeable users on the logback-user mailing lists who can quickly answer your questions.

Urgent issues

For urgent issues do not hesitate to champion a release. In principle, most championed issues are solved within 3 business days followed up by a release.

Pull requests

If you are interested in improving logback, great! The logback community looks forward to your contribution. Please follow this process:

  1. Please file a bug report before filing a pull requests. Note that pull requests wit an associated JIRA issue will get more attention. Moreover, your pull request is unlikely to be merged without an associated jira issue.

    Optional: Start a discussion on the logback-dev mailing list about your proposed change.

  2. Fork qos-ch/logback. Ideally, create a new branch from your fork for your contribution to make it easier to merge your changes back.

  3. Make your changes on the branch you hopefully created in Step 2. Be sure that your code passes existing unit tests.

  4. Please add unit tests for your work if appropriate. It usually is.

  5. Push your changes to your fork/branch in GitHub. Don't push it to your master! If you do it will make it harder to submit new changes later.

  6. Submit a pull request to logback from your commit page on GitHub.