相关文章推荐
Course – RWSB – NPI EA(cat=REST)
announcement - icon

Now that the new version of REST With Spring - “REST With Spring Boot” is finally out, the current price will be available until the 22nd of June , after which it will permanently increase by 50$

>> GET ACCESS

Partner – Microsoft – NPI EA (cat= Spring Boot)
Partner – Aegik AB – NPI EA (cat=JPA)
announcement - icon

Slow MySQL query performance is all too common. Of course it is. A good way to go is, naturally, a dedicated profiler that actually understands the ins and outs of MySQL.

The Jet Profiler was built for MySQL only , so it can do things like real-time query performance, focus on most used tables or most frequent queries, quickly identify performance issues and basically help you optimize your queries.

Critically, it has very minimal impact on your server's performance, with most of the profiling work done separately - so it needs no server changes, agents or separate services.

Basically, you install the desktop application, connect to your MySQL server , hit the record button, and you'll have results within minutes:

out the Profiler

eBook – Guide Junit – NPI EA (cat=Java)
announcement - icon

A quick guide to materially improve your tests with Junit 5:

>> The Junit 5 handbook
eBook – Jackson – NPI EA (cat=Jackson)
announcement - icon

Do JSON right with Jackson

Download the E-book

eBook – HTTP Client – NPI EA (cat=Http Client-Side)
announcement - icon

Get the most out of the Apache HTTP Client

Download the E-book

eBook – Maven – NPI EA (cat = Maven)
announcement - icon

Get Started with Apache Maven:

Download the E-book

Course – LS – NPI EA (cat=Spring)
announcement - icon

Get started with Spring and Spring Boot, through the reference Learn Spring course:

>> LEARN SPRING

eBook – RwS – NPI EA (cat=Spring MVC)
announcement - icon

Building a REST API with Spring?

Download the E-book

Partner – Machinet – NPI EA (cat = Testing)
announcement - icon

The AI Assistant to boost Boost your productivity writing unit tests - Machinet AI .

AI is all the rage these days, but for very good reason. The highly practical coding companion, you'll get the power of AI-assisted coding and automated unit test generation .
Machinet's Unit Test AI Agent utilizes your own project context to create meaningful unit tests that intelligently aligns with the behavior of the code.
And, the AI Chat crafts code and fixes errors with ease, like a helpful sidekick.

Simplify Your Coding Journey with Machinet AI :

>> Install Machinet AI in your IntelliJ

Partner – Codium – NPI EA (cat = Testing)
announcement - icon

Get non-trivial analysis (and trivial, too!) suggested right inside your IDE or Git platform so you can code smart, create more value, and stay confident when you push.

Get CodiumAI for free and become part of a community of over 280,000 developers who are already experiencing improved and quicker coding.

Write code that works the way you meant it to:

CodiumAI. Meaningful Code Tests for Busy Devs

Partner – Bellsoft – NPI EA (cat = Spring)
announcement - icon

Looking for the ideal Linux distro for running modern Spring apps in the cloud?

Meet Alpaquita Linux : lightweight, secure, and powerful enough to handle heavy workloads.

This distro is specifically designed for running Java apps . It builds upon Alpine and features significant enhancements to excel in high-density container environments while meeting enterprise-grade security standards.

Specifically, the container image size is ~30% smaller than standard options, and it consumes up to 30% less RAM:

Alpaquita Containers now.

Course – LSS – NPI EA (cat=Spring Security)
announcement - icon

Yes, Spring Security can be complex, from the more advanced functionality within the Core to the deep OAuth support in the framework.

I built the security material as two full courses - Core and OAuth , to get practical with these more complex scenarios. We explore when and how to use each feature and code through it on the backing project .

You can explore the course here:

>> Learn Spring Security

Partner – DBSchema – NPI EA (tag = SQL)
announcement - icon

DbSchema is a super-flexible database designer, which can take you from designing the DB with your team all the way to safely deploying the schema .

The way it does all of that is by using a design model , a database-independent image of the schema, which can be shared in a team using GIT and compared or deployed on to any database.

And, of course, it can be heavily visual, allowing you to interact with the database using diagrams, visually compose queries, explore the data, generate random data, import data or build HTML5 database reports.

Take a look at DBSchema

Partner – Aegik AB – NPI EA (tag = SQL)
announcement - icon

Slow MySQL query performance is all too common. Of course it is. A good way to go is, naturally, a dedicated profiler that actually understands the ins and outs of MySQL.

The Jet Profiler was built for MySQL only , so it can do things like real-time query performance, focus on most used tables or most frequent queries, quickly identify performance issues and basically help you optimize your queries.

Critically, it has very minimal impact on your server's performance, with most of the profiling work done separately - so it needs no server changes, agents or separate services.

Basically, you install the desktop application, connect to your MySQL server , hit the record button, and you'll have results within minutes:

out the Profiler

Partner – Expected Behavior – NPI EA (tag=PDF)
announcement - icon

Creating PDFs is actually surprisingly hard. When we first tried, none of the existing PDF libraries met our needs. So we made DocRaptor for ourselves and later launched it as one of the first HTML-to-PDF APIs.

We think DocRaptor is the fastest and most scalable way to make PDFs , especially high-quality or complex PDFs. And as developers ourselves, we love good documentation, no-account trial keys, and an easy setup process.

>> Try DocRaptor's HTML-to-PDF Java Client (No Signup Required)

Course – LS – All
announcement - icon

Get started with Spring Boot and with core Spring, through the Learn Spring course:

>> CHECK OUT THE COURSE

1. Overview

Logback is one of the most widely used logging frameworks in the Java Community. It’s a replacement for its predecessor, Log4j. Logback offers a faster implementation, provides more options for configuration, and more flexibility in archiving old log files.

Further reading:

A quick and to the point guide of how to use Log4j2 and Logback with SLF4J, as well as how to bridge other logging APIs such as JCL to SLF4J
Read more → Learn how to configure Logback for sending out an email notification for any application errors
Read more → A quick intro to logging in Java - the libraries, the configuration details as well as pros and cons of each solution.
Read more

In this tutorial, we’ll introduce Logback’s architecture and examine how we can use it to make our applications better.

2. Logback Architecture

The Logback architecture is comprised of three classes: Logger , Appender , and Layout .

A Logger is a context for log messages. This is the class that applications interact with to create log messages.

Appenders place log messages in their final destinations. A Logger can have more than one Appender . We generally think of Appenders as being attached to text files, but Logback is much more potent than that.

Layout prepares messages for outputting. Logback supports the creation of custom classes for formatting messages, as well as robust configuration options for the existing ones.

3. Setup

3.1. Maven Dependency

Logback uses the Simple Logging Facade for Java (SLF4J) as its native interface. Before we can start logging messages, we need to add Logback and SLF4J to our pom.xml :

<dependency>
    <groupId>ch.qos.logback</groupId>
    <artifactId>logback-core</artifactId>
    <version>1.3.5</version>
</dependency>
<dependency>
    <groupId>org.slf4j</groupId>
    <artifactId>slf4j-api</artifactId>
    <version>2.0.4</version>
    <scope>test</scope>
</dependency>

Maven Central has the latest version of the Logback Core and the most recent version of slf4j-api.

3.2. Classpath

Logback also requires logback-classic.jar on the classpath for runtime.

We’ll add this to pom.xml as a test dependency:

<dependency>
    <groupId>ch.qos.logback</groupId>
    <artifactId>logback-classic</artifactId>
    <version>1.3.5</version>
</dependency>

4. Basic Example and Configuration

Let’s start with a quick example of using Logback in an application.

First, we need a configuration file. We’ll create a text file named logback.xml and put it somewhere in our classpath:

<configuration>
  <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
    <encoder>
      <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
    </encoder>
  </appender>
  <root level="debug">
    <appender-ref ref="STDOUT" />
  </root>
</configuration>

Next, we need a simple class with a main method:

public class Example {
    private static final Logger logger 
      = LoggerFactory.getLogger(Example.class);
    public static void main(String[] args) {
        logger.info("Example log from {}", Example.class.getSimpleName());

This class creates a Logger and calls info() to generate a log message.

When we run Example, we see our message logged to the console:

20:34:22.136 [main] INFO Example - Example log from Example

It’s easy to see why Logback is so popular; we’re up and running in minutes.

This configuration and code give us a few hints as to how this works:

  • We have an appender named STDOUT that references class name ConsoleAppender.
  • There is a pattern that describes the format of our log message.
  • Our code creates a Logger and we passed our message to it via an info() method.
  • Now that we understand the basics, let’s have a closer look.

    5. Logger Contexts

    5.1. Creating a Context

    To log a message to Logback, we initialize a Logger from SLF4J or Logback:

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

    Then we use it:

    logger.info("Example log from {}", Example.class.getSimpleName());
    

    This is our logging context. When we created it, we passed LoggerFactory our class. This gives the Logger a name (there is also an overload that accepts a String). 

    Logging contexts exist in a hierarchy that closely resembles the Java object hierarchy:

  • A logger is an ancestor when its name, followed by a dot, prefixes a descendant logger‘s name
  • A logger is a parent when there are no ancestors between it and a child
  • For example, the Example class below is in the com.baeldung.logback package. There’s another class named ExampleAppender in the com.baeldung.logback.appenders package.

    ExampleAppender’s Logger is a child of Example’s Logger.

    All loggers are descendants of the predefined root logger.

    A Logger has a Level, which can be set either via configuration or with Logger.setLevel(). Setting the level in code overrides configuration files.

    The possible levels are, in order of precedence: TRACE, DEBUG, INFO, WARN and ERROR. Each level has a corresponding method that we use to log a message at that level.

    If a Logger isn’t explicitly assigned a level, it inherits the level of its closest ancestor. The root logger defaults to DEBUG. We’ll see how to override this below.

    5.2. Using a Context

    Let’s create an example program that demonstrates using a context within logging hierarchies:

    ch.qos.logback.classic.Logger parentLogger = 
      (ch.qos.logback.classic.Logger) LoggerFactory.getLogger("com.baeldung.logback");
    parentLogger.setLevel(Level.INFO);
    Logger childlogger = 
      (ch.qos.logback.classic.Logger)LoggerFactory.getLogger("com.baeldung.logback.tests");
    parentLogger.warn("This message is logged because WARN > INFO.");
    parentLogger.debug("This message is not logged because DEBUG < INFO.");
    childlogger.info("INFO == INFO");
    childlogger.debug("DEBUG < INFO");
    

    When we run this, we see these messages:

    20:31:29.586 [main] WARN com.baeldung.logback - This message is logged because WARN > INFO.
    20:31:29.594 [main] INFO com.baeldung.logback.tests - INFO == INFO

    We start by retrieving a Logger named com.baeldung.logback and cast it to a ch.qos.logback.classic.Logger.

    A Logback context is needed to set the level in the next statement; note that the SLF4J’s abstract logger does not implement setLevel().

    We set the level of our context to INFO. Then we create another logger named com.baeldung.logback.tests.

    Finally, we log two messages with each context to demonstrate the hierarchy. Logback logs the WARN and INFO messages, and filters the DEBUG messages.

    Now let’s use the root logger:

    ch.qos.logback.classic.Logger logger = 
      (ch.qos.logback.classic.Logger)LoggerFactory.getLogger("com.baeldung.logback");
    logger.debug("Hi there!");
    Logger rootLogger = 
      (ch.qos.logback.classic.Logger)LoggerFactory.getLogger(org.slf4j.Logger.ROOT_LOGGER_NAME);
    logger.debug("This message is logged because DEBUG == DEBUG.");
    rootLogger.setLevel(Level.ERROR);
    logger.warn("This message is not logged because WARN < ERROR.");
    logger.error("This is logged.");
    

    We see these messages when we execute this snippet:

    20:44:44.241 [main] DEBUG com.baeldung.logback - Hi there!
    20:44:44.243 [main] DEBUG com.baeldung.logback - This message is logged because DEBUG == DEBUG.
    20:44:44.243 [main] ERROR com.baeldung.logback - This is logged.
    

    To summarize, we started with a Logger context and printed a DEBUG message.

    Then we retrieved the root logger using its statically defined name, and set its level to ERROR.

    Finally, we demonstrated that Logback does actually filter any statement less than an error.

    5.3. Parameterized Messages

    Unlike the messages in the sample snippets above, most useful log messages require appending Strings. This entails allocating memory, serializing objects, concatenating Strings, and potentially cleaning up the garbage later.

    Consider the following message:

    log.debug("Current count is " + count);
    

    We incur the cost of building the message whether the Logger logs the message or not.

    Logback offers an alternative with its parameterized messages:

    log.debug("Current count is {}", count);
    

    The braces {} will accept any Object and uses its toString() method to build a message only after verifying that the log message is required.

    Let’s try some different parameters:

    String message = "This is a String";
    Integer zero = 0;
    try {
        logger.debug("Logging message: {}", message);
        logger.debug("Going to divide {} by {}", 42, zero);
        int result = 42 / zero;
    } catch (Exception e) {
        logger.error("Error dividing {} by {} ", 42, zero, e);
    

    This snippet yields:

    21:32:10.311 [main] DEBUG com.baeldung.logback.LogbackTests - Logging message: This is a String
    21:32:10.316 [main] DEBUG com.baeldung.logback.LogbackTests - Going to divide 42 by 0
    21:32:10.316 [main] ERROR com.baeldung.logback.LogbackTests - Error dividing 42 by 0
    java.lang.ArithmeticException: / by zero
      at com.baeldung.logback.LogbackTests.givenParameters_ValuesLogged(LogbackTests.java:64)
    

    We see how a String, an int, and an Integer can be passed in as parameters.

    Also, when an Exception is passed as the last argument to a logging method, Logback will print the stack trace for us.

    6. Detailed Configuration

    In the previous examples, we were using the 11-line configuration file we created in section 4 to print log messages to the console. This is Logback’s default behavior; if it can’t find a configuration file, it creates a ConsoleAppender and associates it with the root logger.

    6.1. Locating Configuration Information

    A configuration file can be placed in the classpath and named either logback.xml or logback-test.xml.

    Here’s how Logback will attempt to find configuration data:

  • Search for files named logback-test.xml, logback.groovy, or logback.xml in the classpath, in that order
  • If the library doesn’t find those files, it will attempt to use Java’s ServiceLoader to locate an implementor of the com.qos.logback.classic.spi.Configurator.
  • Configure itself to log output directly to the console
  • Important Note: Due to the official documentation of Logback, they have stopped supporting logback.groovy. So if you want to configure Logback in your application, it’s better to use the XML version.

    6.2. Basic Configuration

    Let’s take a closer look at our example configuration.

    The entire file is in <configuration> tags.

    We see a tag that declares an Appender of type ConsoleAppender, and names it STDOUT. Nested within that tag is an encoder. It has a pattern with what looks like sprintf-style escape codes:

    <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
        <encoder>
            <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
        </encoder>
    </appender>

    Finally, we see a root tag. This tag sets the root logger to DEBUG mode, and associates its output with the Appender named STDOUT:

    <root level="debug">
        <appender-ref ref="STDOUT" />
    </root>

    6.3. Troubleshooting Configuration

    Logback configuration files can get complicated, so there are several built-in mechanisms for troubleshooting.

    To see debug information as Logback processes the configuration, we can turn on debug logging:

    <configuration debug="true">
    </configuration>

    Logback will print status information to the console as it processes the configuration:

    23:54:23,040 |-INFO in ch.qos.logback.classic.LoggerContext[default] - Found resource [logback-test.xml] 
      at [file:/Users/egoebelbecker/ideaProjects/logback-guide/out/test/resources/logback-test.xml]
    23:54:23,230 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - About to instantiate appender 
      of type [ch.qos.logback.core.ConsoleAppender]
    23:54:23,236 |-INFO in ch.qos.logback.core.joran.action.AppenderAction - Naming appender as [STDOUT]
    23:54:23,247 |-INFO in ch.qos.logback.core.joran.action.NestedComplexPropertyIA - Assuming default type 
      [ch.qos.logback.classic.encoder.PatternLayoutEncoder] for [encoder] property
    23:54:23,308 |-INFO in ch.qos.logback.classic.joran.action.RootLoggerAction - Setting level of ROOT logger to DEBUG
    23:54:23,309 |-INFO in ch.qos.logback.core.joran.action.AppenderRefAction - Attaching appender named [STDOUT] to Logger[ROOT]
    23:54:23,310 |-INFO in ch.qos.logback.classic.joran.action.ConfigurationAction - End of configuration.
    23:54:23,313 |-INFO in ch.qos.logback.classic.joran.JoranConfigurator@5afa04c - Registering current configuration 
      as safe fallback point

    If warnings or errors are encountered while parsing the configuration file, Logback writes status messages to the console.

    There is a second mechanism for printing status information:

    <configuration>
        <statusListener class="ch.qos.logback.core.status.OnConsoleStatusListener" />  
    </configuration>

    The StatusListener intercepts status messages and prints them during configuration, as well as while the program is running.

    The output from all configuration files is printed, making it useful for locating “rogue” configuration files on the classpath.

    6.4. Reloading Configuration Automatically

    Reloading logging configuration while an application is running is a powerful troubleshooting tool. Logback makes this possible with the scan parameter:

    <configuration scan="true">
    </configuration>

    The default behavior is to scan the configuration file for changes every 60 seconds. We can modify this interval by adding scanPeriod:

    <configuration scan="true" scanPeriod="15 seconds">
    </configuration>

    We can specify values in milliseconds, seconds, minutes, or hours.

    6.5. Modifying Loggers

    In our sample file above, we set the level of the root logger and associated it with the console Appender.

    We can set the level for any logger:

    <configuration>
        <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
            <encoder>
                <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
            </encoder>
        </appender>
        <logger name="com.baeldung.logback" level="INFO" /> 
        <logger name="com.baeldung.logback.tests" level="WARN" /> 
        <root level="debug">
            <appender-ref ref="STDOUT" />
        </root>
    </configuration>

    Let’s add this to our classpath and run the code:

    Logger foobar = 
      (ch.qos.logback.classic.Logger) LoggerFactory.getLogger("com.baeldung.foobar");
    Logger logger = 
      (ch.qos.logback.classic.Logger) LoggerFactory.getLogger("com.baeldung.logback");
    Logger testslogger = 
      (ch.qos.logback.classic.Logger) LoggerFactory.getLogger("com.baeldung.logback.tests");
    foobar.debug("This is logged from foobar");
    logger.debug("This is not logged from logger");
    logger.info("This is logged from logger");
    testslogger.info("This is not logged from tests");
    testslogger.warn("This is logged from tests");
    

    We see this output:

    00:29:51.787 [main] DEBUG com.baeldung.foobar - This is logged from foobar
    00:29:51.789 [main] INFO com.baeldung.logback - This is logged from logger
    00:29:51.789 [main] WARN com.baeldung.logback.tests - This is logged from tests
    

    By not setting the level of our Loggers programmatically, the configuration sets them; com.baeldung.foobar inherits DEBUG from the root logger.

    Loggers also inherit the appender-ref from the root logger. As we’ll see below, we can override this.

    6.6. Variable Substitution

    Logback configuration files support variables. We define variables inside the configuration script or externally. A variable can be specified at any point in a configuration script in place of a value.

    For example, here is the configuration for a FileAppender:

    <property name="LOG_DIR" value="/var/log/application" />
    <appender name="FILE" class="ch.qos.logback.core.FileAppender">
        <file>${LOG_DIR}/tests.log</file>
        <append>true</append>
        <encoder>
            <pattern>%-4relative [%thread] %-5level %logger{35} - %msg%n</pattern>
        </encoder>
    </appender>

    At the top of the configuration, we declared a property named LOG_DIR. Then we used it as part of the path to the file inside the appender definition.

    Properties are declared in a <property> tag in configuration scripts, but they’re also available from outside sources, such as system properties. We could omit the property declaration in this example and set the value of LOG_DIR on the command line:

    $ java -DLOG_DIR=/var/log/application com.baeldung.logback.LogbackTests

    We specify the value of the property with ${propertyname}. Logback implements variables as text replacement. Variable substitution can occur at any point in a configuration file where a value can be specified.

    7. Appenders

    Loggers pass LoggingEvents to Appenders. Appenders do the actual work of logging. We usually think of logging as something that goes to a file or the console, but Logback is capable of much more. Logback-core provides several useful appenders.

    7.1. ConsoleAppender

    We’ve seen ConsoleAppender in action already. Despite its name, ConsoleAppender appends messages to System.out or System.err.

    It uses an OutputStreamWriter to buffer the I/O, so directing it to System.err doesn’t result in unbuffered writing.

    7.2. FileAppender

    FileAppender appends messages to a file. It supports a broad range of configuration parameters. Let’s add a file appender to our basic configuration:

    <configuration debug="true">
        <appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
            <!-- encoders are assigned the type
                 ch.qos.logback.classic.encoder.PatternLayoutEncoder by default -->
            <encoder>
                <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
            </encoder>
        </appender>
        <appender name="FILE" class="ch.qos.logback.core.FileAppender">
            <file>tests.log</file>
            <append>true</append>
            <encoder>
                <pattern>%-4relative [%thread] %-5level %logger{35} - %msg%n</pattern>
            </encoder>
        </appender>
        <logger name="com.baeldung.logback" level="INFO" /> 
        <logger name="com.baeldung.logback.tests" level="WARN"> 
            <appender-ref ref="FILE" /> 
        </logger> 
        <root level="debug">
            <appender-ref ref="STDOUT" />
        </root>
    </configuration>

    The FileAppender is configured with a file name via <file>. The <append> tag instructs the Appender to append to an existing file rather than truncating it. If we run the test several times, we see that the logging output is appended to the same file.

    If we re-run our test from above, messages from com.baeldung.logback.tests go to both the console and to a file named tests.log. The descendant logger inherits the root logger’s association with the ConsoleAppender with its association with FileAppender. Appenders are cumulative.

    We can override this behavior:

    <logger name="com.baeldung.logback.tests" level="WARN" additivity="false" > 
        <appender-ref ref="FILE" /> 
    </logger> 
    <root level="debug">
        <appender-ref ref="STDOUT" />
    </root>
    

    Setting additivity to false disables the default behavior. Tests won’t log to the console, and neither will any of its descendants.

    7.3. RollingFileAppender

    Often, appending log messages to the same file is not the behavior we need. We want files to “roll” based on time, log file size, or a combination of both.

    For this, we have RollingFileAppender:

    <property name="LOG_FILE" value="LogFile" />
    <appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
        <file>${LOG_FILE}.log</file>
        <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
            <!-- daily rollover -->
            <fileNamePattern>${LOG_FILE}.%d{yyyy-MM-dd}.gz</fileNamePattern>
            <!-- keep 30 days' worth of history capped at 3GB total size -->
            <maxHistory>30</maxHistory>
            <totalSizeCap>3GB</totalSizeCap>
        </rollingPolicy>
        <encoder>
            <pattern>%-4relative [%thread] %-5level %logger{35} - %msg%n</pattern>
        </encoder>
    </appender> 
    

    RollingFileAppender has a RollingPolicy. In this sample configuration, we see a TimeBasedRollingPolicy. 

    Similar to the FileAppender, we configured this appender with a file name. We declared a property and used it because we’ll be reusing the file name below.

    We defined a fileNamePattern inside the RollingPolicy. This pattern defines not just the name of files, but also how often to roll them. TimeBasedRollingPolicy examines the pattern and rolls at the most finely defined period.

    For example:

    <property name="LOG_FILE" value="LogFile" />
    <property name="LOG_DIR" value="/var/logs/application" />
    <appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender">
        <file>${LOG_DIR}/${LOG_FILE}.log</file> 
        <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
            <fileNamePattern>${LOG_DIR}/%d{yyyy/MM}/${LOG_FILE}.gz</fileNamePattern>
            <totalSizeCap>3GB</totalSizeCap>
        </rollingPolicy>

    The active log file is /var/logs/application/LogFile. This file rolls over at the beginning of each month into /Current Year/Current Month/LogFile.gz and RollingFileAppender creates a new active file.

    When the total size of archived files reaches 3GB, RollingFileAppender deletes archives on a first-in-first-out basis.

    There are codes for a week, hour, minute, second, and even millisecond. Logback has a reference here.

    RollingFileAppender also has built-in support for compressing files. It compresses our rolled files because we named them LogFile.gz.

    TimeBasedPolicy isn’t our only option for rolling files. Logback also offers SizeAndTimeBasedRollingPolicy, which will roll based on current log file size as well as time. It also offers a FixedWindowRollingPolicy, which rolls log file names each time the logger is started.

    We can also write our own RollingPolicy.

    7.4. Custom Appenders

    We can create custom appenders by extending one of Logback’s base appender classes. We have a tutorial for creating custom appenders here.

    8. Layouts

    Layouts format log messages. Like the rest of Logback, Layouts are extensible and we can create our own. However, the default PatternLayout offers what most applications need and then some.

    We’ve used PatternLayout in all of our examples so far:

    <encoder>
        <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern>
    </encoder>
    

    This configuration script contains the configuration for PatternLayoutEncoder. We pass an Encoder to our Appender, and this encoder uses the PatternLayout to format the messages.

    The text in the <pattern> tag defines how log messages are formatting. PatternLayout implements a large variety of conversion words and format modifiers for creating patterns.

    Let’s break this one down. PatternLayout recognizes conversion words with a %, so the conversions in our pattern generate:

  • %d{HH:mm:ss.SSS} – a timestamp with hours, minutes, seconds and milliseconds
  • [%thread] – the thread name generating the log message, surrounded by square brackets
  • %-5level – the level of the logging event, padded to 5 characters
  • %logger{36} – the name of the logger, truncated to 35 characters
  • %msg%n – the log messages followed by the platform dependent line separator character
  • So we see messages similar to this:

    21:32:10.311 [main] DEBUG com.baeldung.logback.LogbackTests - Logging message: This is a String

    An exhaustive list of conversion words and format modifiers can be found here.

    9. Conclusion

    In this extensive article, we covered the fundamentals of using Logback in an application.

    We looked at the three major components in Logback’s architecture: Logger, Appender, and Layout. Logback has powerful configuration scripts, which we used to manipulate components for filtering and formatting messages. We also discussed the two most commonly used file appenders to create, roll over, organize, and compress log files.

    As usual, code snippets can be found over on GitHub.

    Partner – Expected Behavior – NPI EA (tag=PDF)
    announcement - icon

    Creating PDFs is actually surprisingly hard. When we first tried, none of the existing PDF libraries met our needs. So we made DocRaptor for ourselves and later launched it as one of the first HTML-to-PDF APIs.

    We think DocRaptor is the fastest and most scalable way to make PDFs, especially high-quality or complex PDFs. And as developers ourselves, we love good documentation, no-account trial keys, and an easy setup process.

    >> Try DocRaptor's HTML-to-PDF Java Client (No Signup Required)

    Partner – Aegik AB – NPI EA (tag = SQL)
    announcement - icon

    Slow MySQL query performance is all too common. Of course it is.

    The Jet Profiler was built entirely for MySQL, so it's fine-tuned for it and does advanced everything with relaly minimal impact and no server changes.

    out the Profiler

    Partner – Codium – NPI EA (cat = Testing)
    announcement - icon

    Explore the secure, reliable, and high-performance Test Execution Cloud built for scale. Right in your IDE:

    CodiumAI. Meaningful Code Tests for Busy Devs

    Basically, write code that works the way you meant it to.

    Partner – Machinet – NPI EA (cat = Testing)
    announcement - icon

    AI is all the rage these days, but for very good reason. The highly practical coding companion, you'll get the power of AI-assisted coding and automated unit test generation.
    Machinet's Unit Test AI Agent utilizes your own project context to create meaningful unit tests that intelligently aligns with the behavior of the code.

    Simplify Your Coding Journey with Machinet AI:

    >> Install Machinet AI in your IntelliJ

    Course – LS – All
    announcement - icon

    Get started with Spring Boot and with core Spring, through the Learn Spring course:

    >> CHECK OUT THE COURSE

    res – REST with Spring (eBook) (everywhere)
     
    推荐文章