SpringBoot整合logback 和 fastJson

整合logback

1.导入依赖

不用额外导入，因为在 Springboot-web-starter 中整合了 logback 的依赖

2. 在resource中新建 logback.xml 的文件

<?xml version="1.0" encoding="UTF-8"?>
<configuration debug="true" scan="true">

	<springProperty scope="context" name="LOG_LEVEL" source="logging.level.root"/>
	<springProperty scope="context" name="APPNAME" source="logging.name"/>
	<property name="LOG_HOME" value="/Users/******" />

	<jmxConfigurator />

	<appender name="error_file"
		class="ch.qos.logback.core.rolling.RollingFileAppender">
		<file>${LOG_HOME}/${APPNAME}/web_error.log</file>
		<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
			<fileNamePattern>${LOG_HOME}/${APPNAME}/web_error_%d{yyyy-MM-dd}_%i.log.zip
			</fileNamePattern>
			<maxHistory>7</maxHistory>
			<cleanHistoryOnStart>true</cleanHistoryOnStart>
			<timeBasedFileNamingAndTriggeringPolicy
				class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
				<maxFileSize>100MB</maxFileSize>
			</timeBasedFileNamingAndTriggeringPolicy>
		</rollingPolicy>

		<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
			<level>ERROR</level>
		</filter>
		<encoder>
			<charset>UTF-8</charset>
			<pattern>%date [%thread] [%file:%line] [%level %logger{0}] - %msg%n
			</pattern>
		</encoder>
	</appender>

	<appender name="warn_file"
		class="ch.qos.logback.core.rolling.RollingFileAppender">
		<file>${LOG_HOME}/${APPNAME}/web_warn.log</file>
		<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
			<fileNamePattern>${LOG_HOME}/${APPNAME}/web_warn_%d{yyyy-MM-dd}_%i.log.zip
			</fileNamePattern>
			<maxHistory>7</maxHistory>
			<cleanHistoryOnStart>true</cleanHistoryOnStart>
			<timeBasedFileNamingAndTriggeringPolicy
				class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
				<maxFileSize>100MB</maxFileSize>
			</timeBasedFileNamingAndTriggeringPolicy>
		</rollingPolicy>

		<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
			<level>WARN</level>
		</filter>
		<encoder>
			<charset>UTF-8</charset>
			<pattern>%date [%thread] [%file:%line] [%level %logger{0}] - %msg%n
			</pattern>
		</encoder>
	</appender>

	<appender name="info_file"
		class="ch.qos.logback.core.rolling.RollingFileAppender">
		<file>${LOG_HOME}/${APPNAME}/web_info.log</file>
		<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
			<fileNamePattern>${LOG_HOME}/${APPNAME}/web_info_%d{yyyy-MM-dd}_%i.log.zip
			</fileNamePattern>
			<maxHistory>7</maxHistory>
			<cleanHistoryOnStart>true</cleanHistoryOnStart>
			<timeBasedFileNamingAndTriggeringPolicy
				class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
				<maxFileSize>100MB</maxFileSize>
			</timeBasedFileNamingAndTriggeringPolicy>
		</rollingPolicy>

		<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
			<level>${LOG_LEVEL}</level>
		</filter>
		<encoder>
			<charset>UTF-8</charset>
			<pattern>%date [%thread] [%file:%line] [%level %logger{0}] - %msg%n
			</pattern>
		</encoder>
	</appender>


	<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
		<encoder>
			<charset>UTF-8</charset>
			<pattern>%date [%thread] [%level %logger{0}:%line] - %msg%n
			</pattern>
		</encoder>
	</appender>

	<!--异步输出-->
	<appender name="async_info_log" class="ch.qos.logback.classic.AsyncAppender">
		<discardingThreshold>0</discardingThreshold>
		<queueSize>512</queueSize>
		<includeCallerData>true</includeCallerData>
		<appender-ref ref="info_file"/>
	</appender>

	<root level="${LOG_LEVEL}">
		<appender-ref ref="async_info_log" />
		<appender-ref ref="warn_file" />
		<appender-ref ref="error_file" />
		<appender-ref ref="STDOUT" />
	</root>
</configuration>

• 在 properties 标签中，value 代表日志写入文件的地址路径
• Spring properties 表示要配置到 yml文件中的参数，例如绑定xml地址路径，指定日志级别

logging:
  name: #日志名称
  config: classpath:logback-spring.xml #logback.xml 的名称
  level:
    root: info

3. 使用

import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

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

4. 日志级别

常用的四种：从高到低一次是 erro、warn、info、debug。

整合 fastJson

在实际场景中，应用的更多的是 阿里系的 fastJson框架

1.导入依赖

在 Maven repository中选择一种

<dependency>
            <groupId>com.alibaba</groupId>
            <artifactId>fastjson</artifactId>
            <version>1.2.58</version>
 </dependency>

2. 调用方法

1. Json.ToJsonString()