阿里云的日志系统比elk还是好用多了，而且支持像sql那样查询日志。接入方法如下
<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<include resource="org/springframework/boot/logging/logback/defaults.xml"/>
<springProperty scope="context" name="springAppName" source="spring.application.name"/>
<springProperty scope="context" name="mytopic" source="spring.application.name"/>
<springProperty scope="context" name="myprofile" source="spring.profiles.active"/>
<!-- Example for logging into the build folder of your project -->
<property name="LOG_FILE" value="/data/logs/${mytopic}.log"/>
<!-- You can override this to have a custom pattern -->
<property name="CONSOLE_LOG_PATTERN"
value="%clr(%d{yyyy-MM-dd HH:mm:ss.SSS}){faint} %clr(${LOG_LEVEL_PATTERN:-%5p}) %clr([${springAppName:-},%X{X-B3-TraceId:-},%X{X-B3-SpanId:-},%X{X-Span-Export:-}]){yellow} %clr(${PID:- }){magenta} %clr(---){faint} %clr([%15.15t]){faint} %clr(%-40.40logger{39}){cyan} %clr(:){faint} %m%n${LOG_EXCEPTION_CONVERSION_WORD:-%wEx}"/>
<!-- Appender to log to console -->
<appender name="console" class="ch.qos.logback.core.ConsoleAppender">
<filter class="ch.qos.logback.classic.filter.ThresholdFilter">
<!-- Minimum logging level to be presented in the console logs-->
<level>DEBUG</level>
</filter>
<encoder>
<pattern>${CONSOLE_LOG_PATTERN}</pattern>
<charset>utf8</charset>
</encoder>
</appender>
<!-- Appender to log to file -->
<appender name="flatfile" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${LOG_FILE}</file>
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${LOG_FILE}.%d{yyyy-MM-dd}.gz</fileNamePattern>
<maxHistory>7</maxHistory>
</rollingPolicy>
<encoder>
<pattern>${CONSOLE_LOG_PATTERN}</pattern>
<charset>utf8</charset>
</encoder>
</appender>
<appender name="loghubAppender1" class="com.aliyun.openservices.log.logback.LoghubAppender">
<!--必选项-->
<!-- 账号及网络配置 -->
<endpoint>xxxx-3.log.aliyuncs.com</endpoint>
<accessKeyId>xxxxxxx</accessKeyId>
<accessKey>xxxxxxxx</accessKey>
<!-- sls 项目配置 -->
<projectName>thor1108</projectName>
<logstore>thor-${myprofile}</logstore>
<!--必选项 (end)-->
<!-- 可选项 -->
<topic>${mytopic}</topic>
<!-- 可选项 详见 '参数说明'-->
<packageTimeoutInMS>3000</packageTimeoutInMS>
<logsCountPerPackage>4096</logsCountPerPackage>
<logsBytesPerPackage>3145728</logsBytesPerPackage>
<memPoolSizeInByte>104857600</memPoolSizeInByte>
<retryTimes>3</retryTimes>
<maxIOThreadSizeInPool>8</maxIOThreadSizeInPool>
<!-- 可选项 通过配置 encoder 的 pattern 自定义 log 的格式 -->
<encoder>
<pattern>
{
"severity": "%level",
"service": "${springAppName:-}",
"trace": "%X{X-B3-TraceId:-}",
"span": "%X{X-B3-SpanId:-}",
"exportable": "%X{X-Span-Export:-}",
"pid": "${PID:-}",
"thread": "%thread",
"class": "%logger{40}",
"rest": "%message"
}
</pattern>
</encoder>
<!-- 可选项 设置时间格式 -->
<timeFormat>yyyy-MM-dd'T'HH:mmZ</timeFormat>
<!-- 可选项 设置时区 -->
<!--<timeZone>Asia/Shanghai</timeZone>-->
<filter class="ch.qos.logback.classic.filter.LevelFilter">
<level>INFO</level>
</filter>
</appender>
<root level="INFO">
<appender-ref ref="console"/>
<!-- uncomment this to have also JSON logs -->
<appender-ref ref="loghubAppender1"/>
<appender-ref ref="flatfile"/>
</root>
</configuration>
注意里面的traceid 使用的spring cloud sleuth ,引入依赖即可