LOGBACK core module optimization skills

LOGBACK is a popular log frame with powerful functions and flexible configuration options.In order to optimize the performance of logback, we can adopt the following skills. 1. Use asynchronous log output: logback provides the function of asynchronous log output, which can put log records in queue for asynchronous processing, thereby improving the performance of the application.You can enable the asynchronous log output by configuring the `Asyncappender`. <appender name="ASYNC" class="ch.qos.logback.classic.AsyncAppender"> <appender-ref ref="FILE" /> </appender> <root level="info"> <appender-ref ref="ASYNC" /> </root> 2. Avoid using too many log outputs: In Logback, each log outputer creates an instance, which may cause performance decline.Therefore, it is necessary to avoid creating too many log outputs and only create necessary outputs. private static final Logger LOGGER = LoggerFactory.getLogger(YourClass.class); 3. Reasonable configuration log level: set the log level to the right level, which can reduce unnecessary log records and improve performance.For the production environment, the log level should be set to `Info` or higher levels to avoid recording too much debugging information. <root level="info"> <appender-ref ref="FILE" /> </root> 4. Reasonable configuration log output format: The selection of log output formats will affect performance.If you do not need additional information, you can simplify the log output format into a minimized format to avoid unnecessary processing. <pattern>[%d{yyyy-MM-dd HH:mm:ss.SSS}] [%thread] [%-5level] [%logger{36}] - %msg%n</pattern> 5. Configuration rolling strategy: By default, LOGBACK will add all logs to a file.For large applications, this may lead to excessive log files and burden on performance and storage space.You can configure the rolling strategy to write the log into a new file when you reach a certain size or time interval. <appender name="FILE" class="ch.qos.logback.core.rolling.RollingFileAppender"> <file>logs/myapp.log</file> <rollingPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedRollingPolicy"> <fileNamePattern>logs/myapp.%d{yyyy-MM-dd}.%i.log.gz</fileNamePattern> <maxFileSize>10MB</maxFileSize> <maxHistory>7</maxHistory> </rollingPolicy> <encoder> <pattern>[%d{yyyy-MM-dd HH:mm:ss.SSS}] [%thread] [%-5level] [%logger{36}] - %msg%n</pattern> </encoder> </appender> These are some techniques and examples that optimize the performance of the core module of the logback.Through reasonable configuration and use of asynchronous log output, we can improve the performance of the application and reduce the expenses of log records.