Using the Scala Logging framework to achieve level control and overflow of logs

Implementing log level control and filtering using the Scala Logging framework Logging is an important component in software development, which can help developers track and debug applications. Scala Logging is a popular logging framework that provides an elegant and concise way to record logs in Scala applications. In Scala Logging, log level control is achieved through configuration files or programming. Developers can choose the appropriate log level based on the requirements of the application to control the level of detail in log output. Scala Logging provides the following log levels: 1. TRACE: The most detailed log level used to record every detail in the program. 2. DEBUG: Used for debugging purposes, to record detailed program status. 3. INFO: Provides general information about the running status of the application, such as startup messages, configuration information, etc. 4. WARN: Used to record potential issues or unreasonable usage situations. 5. ERROR: Used to record errors and abnormal situations. To use the Scala Logging framework, you first need to add the following dependencies to the project's build file (such as build. sbt): scala libraryDependencies += "com.typesafe.scala-logging" %% "scala-logging" % "3.9.4" Next, import the Scala Logging framework in the source file of the application: scala import com.typesafe.scalalogging.Logger import org.slf4j.LoggerFactory Then, create a Logger object to record logs: scala val logger = Logger(LoggerFactory.getLogger(getClass.getName)) In this example, obtain a Logger object through LoggerFactory. Now, you can use the Logger object to record different levels of logs. Here are a few examples: scala logger.trace("This is a trace log message.") logger.debug("This is a debug log message.") logger.info("This is an info log message.") logger.warn("This is a warning log message.") logger.error("This is an error log message.") Note that the Scala Logging framework will determine whether to log based on the current configured logging level. If the log level is set to DEBUG and the application's log level is also set to DEBUG, log information at DEBUG and above will be recorded. If the log level is set to INFO and the application's log level is also set to INFO, log information at INFO and above will be recorded. If you want to dynamically modify the log level, you can use the 'underlining' method and the 'setLevel' method provided by the Scala Logging framework. Here is an example: scala logger.underlying.setLevel(ch.qos.logback.classic.Level.DEBUG) In this example, the 'setLevel' method sets the log level to DEBUG. In addition to level control, Scala Logging also provides filtering functionality. Developers can configure different filters as needed to control which log information needs to be recorded. This is very useful when dealing with a large amount of log information. In summary, the Scala Logging framework provides a convenient way to achieve log level control and filtering. Developers can choose the appropriate log level according to their needs, record the required log information, and customize the configuration through filters. This makes it easier to track and locate issues during application development and debugging.