独角兽企业重金招聘Python工程师标准>>>
简述
使用 spring cloud 用到最多的是各种rest服务调用，Twitter的Zipkin 是一种实现分布式跟踪解决方案，Sleuth则是用来共方便的集成Zipkin。调用跟踪系统的业务场景
随着服务的拆分，系统的模块变得越来越多，不同的模块可能由不同的团队维护，一个请求可能会涉及到几十个服务的协同处理， 牵扯到多个团队的业务系统，那么如何快速准确的定位到线上故障？比较成熟的解决方案是通过调用链的方式，把一次请求调用过程完整的串联起来，这样就实现了对请求调用路径的监控。故障快速定位通过调用链跟踪，一次请求的逻辑轨迹可以用完整清晰的展示出来。 开发中可以在业务日志中添加调用链ID，可以通过调用链结合业务日志快速定位错误信息。各个调用环节的性能分析在调用链的各个环节分别添加调用时延，可以分析系统的性能瓶颈，进行针对性的优化。各个调用环节的可用性，持久层依赖等通过分析各个环节的平均时延，QPS等信息，可以找到系统的薄弱环节，对一些模块做调整，如数据冗余等。数据分析等调用链是一条完整的业务日志，可以得到用户的行为路径，汇总分析应用在很多业务场景。Spring Cloud Sleuth
Spring Cloud Sleuth为Spring Cloud实现分布式跟踪解决方案。Zipkin
为分布式链路调用监控系统,聚合各业务系统调用延迟数据,达到链路调用监控跟踪。使用
Zipkin可以通过http收集信息，也可以通过mq收集信息Zipkin server代码
pom.xml<?xml version="1.0" encoding="UTF-8"?><project xmlns="/POM/4.0.0" xmlns:xsi="/2001/XMLSchema-instance"xsi:schemaLocation="/POM/4.0.0 /xsd/maven-4.0.0.xsd"><modelVersion>4.0.0</modelVersion><groupId>com.xx.xxx.server</groupId><artifactId>zipkin-server</artifactId><version>0.0.1-SNAPSHOT</version><packaging>jar</packaging><name>zipkin-server</name><description>zipkin追踪服务</description><properties><project.build.sourceEncoding>UTF-8</project.build.sourceEncoding><project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding><java.version>1.8</java.version><zipkin.version>2.3.1</zipkin.version><spring-cloud.version>Edgware.SR2</spring-cloud.version></properties><dependencies><dependency><groupId>io.zipkin.java</groupId><artifactId>zipkin-server</artifactId></dependency><dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-sleuth-zipkin-stream</artifactId></dependency><dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-starter-sleuth</artifactId></dependency><dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-starter-stream-rabbit</artifactId></dependency><dependency><groupId>io.zipkin.java</groupId><artifactId>zipkin-autoconfigure-ui</artifactId><scope>runtime</scope></dependency><dependency><groupId>io.zipkin.java</groupId><artifactId>zipkin-autoconfigure-storage-mysql</artifactId></dependency><dependency><groupId>mysql</groupId><artifactId>mysql-connector-java</artifactId></dependency><dependency><groupId>org.projectlombok</groupId><artifactId>lombok</artifactId><optional>true</optional></dependency><dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-sleuth-core</artifactId></dependency><!--spring boot--><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-jdbc</artifactId></dependency><dependency><groupId>org.mybatis.spring.boot</groupId><artifactId>mybatis-spring-boot-starter</artifactId><version>1.3.2</version></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-web</artifactId></dependency><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-starter-test</artifactId><scope>test</scope></dependency></dependencies><dependencyManagement><dependencies><dependency><groupId>org.springframework.boot</groupId><artifactId>spring-boot-dependencies</artifactId><version>1.5.4.RELEASE</version><type>pom</type><scope>import</scope></dependency><dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-dependencies</artifactId><version>${spring-cloud.version}</version><type>pom</type><scope>import</scope></dependency></dependencies></dependencyManagement><build><plugins><plugin><groupId>org.springframework.boot</groupId><artifactId>spring-boot-maven-plugin</artifactId></plugin></plugins></build></project>
application.yml
server:port: 9411spring:application:name: zipkin-serversleuth:enabled: false#rabbitmq设置，如果使用http收集信息可以不用设置rabbitmq:host: 172.16.10.71port: 5672username: adminpassword: adminlistener:simple:concurrency: 1max-concurrency: 10acknowledge-mode: auto#数据库设置，如果不使用数据库可以不需要设置,需要创建zipkin数据库datasource:name: zipkindriver-class-name: com.mysql.jdbc.Driverurl: jdbc:mysql://localhost:3306/zipkin?autoReconnect=true&useUnicode=true&characterEncoding=UTF-8&zeroDateTimeBehavior=convertToNull&useSSL=falseusername: rootpassword: 123456# 会自动生成数据库表结构schema: classpath:/mysql.sqlinitialize: truecontinue-on-error: truezipkin:storage:type: mysql
java
@SpringBootApplication@EnableZipkinStreamServerpublic class ZipkinServerApplication{public static void main(String[] args) {new SpringApplicationBuilder(ZipkinServerApplication.class).run(args);System.out.println("Server start succ");}}
client 代码
pom.xml添加sleuth&zipkin依赖<dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-sleuth-core</artifactId></dependency><dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-starter-sleuth</artifactId></dependency><dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-sleuth-zipkin-stream</artifactId></dependency><dependency><groupId>org.springframework.cloud</groupId><artifactId>spring-cloud-starter-stream-rabbit</artifactId></dependency>
application.yml
#springspring:zipkin:enabled: true# zipkin server地址，如果使用mq收集，这个就不要配置base-url: http://localhost:9411# 应采样的请求百分比。例如1.0= 100％的请求应该被抽样。精度仅为全数（即不支持0.1％的痕迹）。开发过程使用1.0，生产根据实际情况设置sleuth:sampler:percentage: 1.0rabbitmq:host: 172.16.10.71port: 5672username: adminpassword: adminlistener:simple:concurrency: 1max-concurrency: 10acknowledge-mode: auto
