问题记录
1、遇到长流程的时候,日志记录是非常重要的。如何排查日志,可以在MDC中去put对应的值,这样就等于对你关心的关键字段加上了索引,在elk中可以通过该索引就能 容易排查到问题
logback的设置 可以参照:
【总体日志】
<?xml version="1.0" encoding="UTF-8"?>
<configuration>
<property name="CHARSET" value="UTF-8" />
<!-- 使用SkyWalking提供的traceID -->
<conversionRule conversionWord="tid" converterClass="org.apache.skywalking.apm.toolkit.log.logback.v1.x.LogbackPatternConverter"/>
<!-- 使用application.yml配置 -->
<springProperty scope="context" name="LOG_HOME" source="logging.file.path" />
<property name="LOG_PATTERN" value="%d{yyyy-MM-dd HH:mm:ss:SSS} %highlight([%tid] [%X{X-B3-TraceId}] [%p]) %boldYellow(%c{36}) - %m%n" />
<include resource="logback/logback-project.xml"/>
<!-- <include resource="logback/logback-request.xml"/>-->
<include resource="logback/logback-error.xml"/>
<!-- 总日志输出到控制台 -->
<appender name="STDOUT" class="ch.qos.logback.core.ConsoleAppender">
<encoder>
<pattern>${LOG_PATTERN}</pattern>
<charset>${CHARSET}</charset>
</encoder>
</appender>
<root level="INFO">
<appender-ref ref="STDOUT" />
<appender-ref ref="PROJECT_APPENDER" />
<appender-ref ref="ERROR_APPENDER" />
</root>
</configuration>
【业务日志】
<!-- 这里配置项目业务日志-->
<included>
<!-- 项目业务日志Appender -->
<appender name="PROJECT_APPENDER" class="ch.qos.logback.core.rolling.RollingFileAppender">
<file>${LOG_HOME}/project.log</file>
<rollingPolicy class="ch.qos.logback.core.rolling.TimeBasedRollingPolicy">
<fileNamePattern>${LOG_HOME}/project-%d{yyyyMMdd}.%i.log
</fileNamePattern>
<timeBasedFileNamingAndTriggeringPolicy class="ch.qos.logback.core.rolling.SizeAndTimeBasedFNATP">
<maxFileSize>500MB</maxFileSize>
</timeBasedFileNamingAndTriggeringPolicy>
</rollingPolicy>
<filter class="ch.qos.logback.classic.filter.LevelFilter">
<level>ERROR</level>
<onMatch>DENY</onMatch>
<onMismatch>ACCEPT</onMismatch>
</filter>
<append>true</append>
<encoder class="net.logstash.logback.encoder.LoggingEventCompositeJsonEncoder">
<providers>
<pattern>
<pattern>
{
"logtime":"%date{yyyy-MM-dd HH:mm:ss.SSS}",
"traceId":"%tid",
"level":"%level",
"seq":"%X{seq}",
"offset":"%X{offset}",
"partition":"%X{partition}",
"threadName":"%thread",
"className":"%class",
"content":"%message",
"stackTrace":"%exception{10}"
}
</pattern>
</pattern>
</providers>
</encoder>
</appender>
<logger name="com.myhexin.zixun.cmp.review.server" level="DEBUG">
<appender-ref ref="PROJECT_APPENDER" />
</logger>
</included>
【aop切面类】文章来源:https://www.toymoban.com/news/detail-657281.html
import cn.hutool.json.JSONUtil;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.lang.StringUtils;
import org.aspectj.lang.ProceedingJoinPoint;
import org.aspectj.lang.annotation.Around;
import org.aspectj.lang.annotation.Aspect;
import org.aspectj.lang.annotation.Pointcut;
import org.slf4j.MDC;
import org.springframework.stereotype.Component;
import java.util.UUID;
/**
* @description:
* @author: liuzhihui@myhexin.com
* @date: 2021/6/3 10:58
**/
@Aspect
@Component
@Slf4j
public class NewsOfflineAspect {
private final String POINT_CUT = "execution(* com.myhexin.zixun.server.content.operate.deploy.domain.news.service.impl.OfflineOrOnlineServiceImpl.offlineOrOnlineNews(..))";
@Pointcut(POINT_CUT)
public void pointCut() {
}
@Around(value = "pointCut()")
public Object doAround(ProceedingJoinPoint joinPoint) throws Throwable {
Object[] args = joinPoint.getArgs();
String s = String.valueOf(args[0]);
String seq = StringUtils.substringBetween(s, "seq=", ")");
if (StringUtils.isNotEmpty(seq)) {
MDC.put("seq", seq);
} else {
MDC.put("seq", "Random-" + UUID.randomUUID().toString());
}
try {
return joinPoint.proceed();
} catch (Throwable throwable) {
log.error(">>>>入参 {} <<<<<", JSONUtil.toJsonStr(args), throwable);
throw throwable;
} finally {
MDC.remove("seq");
}
}
}
业务日志里的log patter放了seq 字段,那就可以在进入aop的时候 打上seq作为日志的字段索引,然后在处理流程结束的时候,拿出seq字段索引,这样排查的时候,就可以根据这个字段来排查了。
同样的,如果是kafka的接受类,你可以把 offset和partition作为字段索引,也是及其好用的。文章来源地址https://www.toymoban.com/news/detail-657281.html
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