spring-cloud-sleuth

sleuth输出的日志格式

2019-04-29 16:37:54.849  INFO [sleuth,fd6f9ebb8f69ab75,fd6f9ebb8f69ab75,false] 1616 --- [ctor-http-nio-2] t.y.sc.sleuth.service.UserServiceImpl    : list: [{id=1, name=test_1}, {id=2, name=test_2}, {id=3, name=test_3}, {id=4, name=test_4}, {id=5, name=test_5}, {id=6, name=test_6}, {id=7, name=test_7}, {id=8, name=test_8}, {id=9, name=test_9}, {id=10, name=test_10}]

可以看到内容是由[appname,traceId,spanId,exportable]组成的, 具体含义如下：

• appname：服务的名称，也就是spring.application.name的值
• traceId：整个请求的唯一ID，它标识整个整个请求的链路
• spanId：基本的工作单元，发起一起远程调用就是一个span
• exportable：是否导入数据到Zipkin中

sleuth的数据推送到logstash

将跟踪的信息导入到ES中，可以将跟踪的信息以JSON格式的数据输出到 logstash，再输出到ES中

<springProperty scope="context" name="appName" source="spring.application.name"/>

<!-- Appender to log to file in a JSON format -->
<appender name="logstash" class="ch.qos.logback.core.rolling.RollingFileAppender">
    <file>${LOG_FILE}.json</file>
    <rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
        <fileNamePattern>${LOG_FILE}.json.%d{yyyy-MM-dd}.gz</fileNamePattern>
        <maxHistory>7</maxHistory>
    </rollingPolicy>
    <encoder class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">
        <providers>
            <timestamp>
                <timeZone>UTC</timeZone>
            </timestamp>
            <pattern>
                <pattern>
                    {
                    "level": "%level",
                    "appName": "${appName:-}",
                    "traceId": "%X{X-B3-TraceId:-}",
                    "spanId": "%X{X-B3-SpanId:-}",
                    "parentId": "%X{X-B3-ParentSpanId:-}",
                    "exportable": "%X{X-Span-Export:-}",
                    "pid": "${PID:-}",
                    "thread": "%thread",
                    "class": "%logger{40}",
                    "msg": "%message"
                    }
                </pattern>
            </pattern>
        </providers>
    </encoder>
</appender>