SCALA Logging framework of advanced features and extensions

Scala Logging is a very popular log framework that provides a flexible and powerful log record function for the SCALA application.In addition to the conventional log record function, Scala Logging also provides some advanced functions and extensions, allowing developers to better manage and analyze log data.This article will introduce some advanced functions and extensions of the Scala Logging framework, and provide relevant programming code and configuration examples. 1. Custom log format Scala Logging allows developers to customize log formats to meet specific needs.The log format can be defined by configuring files or programming methods.Below is an example that defines the log format by programming method: scala import com.typesafe.scalalogging.Logger import org.slf4j.LoggerFactory val logger = Logger(LoggerFactory.getLogger(getClass.getName)) logger.debug("Debug message") logger.info("Info message") logger.warn("Warning message") logger.error("Error message") In the above example, we created a logger instance and recorded the log messages with four different levels of Debug, Info, Warn, and Error.We can also define different formats for different logs according to need. 2. Log filter Scala Logging allows developers to filter log messages based on different conditions.Filter log messages can be filtered according to the log level, class, method and other conditions.Below is an example of using a log filter: scala import com.typesafe.scalalogging.Logger import org.slf4j.LoggerFactory val logger = Logger(LoggerFactory.getLogger(getClass.getName)) logger.withSubLoggers("com.example") { logger.debug("Debug message") logger.info("Info message") } logger.debug("Debug message - outside of the filter") logger.info("Info message - outside of the filter") In the above example, we use the `Withsubloggers` method to create a new subjection recorder for a specific package or class, and record the log message in the subjection recorder.The log message from the outer record of the log recorder will be filtered out, and the message recorded in the internal records of the log recorder will be retained. 3. Log additional Scala Logging allows developers to add additional information to the log message, such as date, thread ID, etc.Below is an example of using a log additional: scala import com.typesafe.scalalogging.Logger import org.slf4j.LoggerFactory val logger = Logger(LoggerFactory.getLogger(getClass.getName)) logger.info("Info message with extra information") { "additional info" } In the above example, we added additional information to "Additional Info" to the log message.This additional information will be recorded with the log message and displayed in the log output. The above is just a brief introduction to some advanced functions and extensions of the Scala Logging framework.By using Scala Logging, developers can better manage and analyze log data and easily customize and expand.If you want to understand more functions and usage of Scala Logging, you can refer to its official documentation or related code examples.