全链路spring cloud sleuth+zipkin

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http://blog.csdn.net/qq_15138455/article/details/72956232

 

一、About ZipKin

please google

二、 Demo Scene

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三、 Result Display

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四、Prepare

1、soft version

kafka:2.10-0.10.2.0
zokeeper:3.4.10
elasticsearch:5.2.2
jdk:1.8
spring boot:1.5.3.RELEASE
sprign cloud:Dalston.RELEASE
rabbit mq:3.6.9

2、install

kafka+zookeeper
elasticsearch
rabbit mq
mysql

3、create four spring cloud project

web-api、user-api、order-api、zipkin
ps:

why i will create zipkin project use spring boot by myself not use  zipkin.jar from http://zipkin.io/,actually,zipkin.jar is a spring boot project,check it‘s dependency lib you will find it din‘t use spring-cloud-sleuth-stream,but i will send trace info to kafka for zipkin server collector ,so i must use spring-cloud-sleuth-stream in my service

and the message send to kafka is a  sleuth.span object and use kafka default serialized,but zipkin.jar only receive zipkin.span and json or thrift encode,so it‘s not matching,That‘s the reason i create zipkin server

but if you use rabbit mq,that‘s no problem.

4、configuration

4.1、the service web-api、user-api、order-api config part like:
pom.xml

[html] view plain copy
 
  1. <dependency>  
  2.     <groupId>org.springframework.cloud</groupId>  
  3.     <artifactId>spring-cloud-sleuth-zipkin-stream</artifactId>  
  4. </dependency>  
  5. <dependency>  
  6.     <groupId>org.springframework.cloud</groupId>  
  7.     <artifactId>spring-cloud-starter-stream-kafka</artifactId>  
  8. </dependency>  
application.properties
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  1. spring.sleuth.sampler.percentage=1.0  
  2. spring.cloud.stream.kafka.binder.brokers=10.20.1.11:9092,10.20.1.12:9092  
  3. spring.cloud.stream.kafka.binder.zkNodes=10.20.1.11:2181,10.20.1.12:2181  
4.2、the zipkinconfig part like:

pom.xml

 

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  1. <!-- the  first one dependency below,In principle, there is no need,beause sleuth-zipkin-stream 1.5.3 will  Introduce zipkin version1.19 Automaticly,but 1.19 only support  elasticsearch version 2.X -->  
  2. <dependency>  
  3.     <groupId>io.zipkin.java</groupId>  
  4.     <artifactId>zipkin</artifactId>  
  5.     <version>1.24.0</version>  
  6. </dependency>  
  7. <dependency>  
  8.     <groupId>org.springframework.cloud</groupId>  
  9.     <artifactId>spring-cloud-sleuth-zipkin-stream</artifactId>  
  10. </dependency>  
  11. <dependency>  
  12.     <groupId>org.springframework.cloud</groupId>  
  13.     <artifactId>spring-cloud-starter-stream-kafka</artifactId>  
  14. </dependency>  
  15. <dependency>  
  16.     <groupId>io.zipkin.java</groupId>  
  17.     <artifactId>zipkin-autoconfigure-storage-elasticsearch-http</artifactId>  
  18.     <version>1.24.0</version>  
  19.     <optional>true</optional>  
  20. </dependency>  
application.properties

 

 

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  1. #kafka config  
  2. spring.sleuth.enabled=false  
  3. spring.sleuth.sampler.percentage=1.0  
  4. spring.cloud.stream.kafka.binder.brokers=10.20.1.11:9092,10.20.1.12:9092  
  5. spring.cloud.stream.kafka.binder.zkNodes=10.20.1.11:2181,10.20.1.12:2181  
  6. #elasticsearch config  
  7. zipkin.storage.type=elasticsearch  
  8. zipkin.storage.elasticsearch.hosts=10.20.1.11:9200,10.20.1.12:9200  
  9. zipkin.storage.elasticsearch.cluster=elasticsearch  
  10. zipkin.storage.elasticsearch.index=zipkin  
  11. zipkin.storage.elasticsearch.index-shards=5  
  12. zipkin.storage.elasticsearch.index-replicas=1  
ZipKin Server Startup class configuration

 

 

[java] view plain copy
 
  1. <span style="font-size:14px;">@SpringBootApplication  
  2. //@EnableZipkinServer //this is used by interface receive trace info  
  3. @EnableZipkinStreamServer //can be used kafka,rabbit  
  4. public class ZkingApplication {  
  5.     public static void main(String[] args) {  
  6.         SpringApplication.run(ZkingApplication.class, args);  
  7.     }  
  8. }</span>  

 

五、Demo DownLoad

click me

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by the way,spring cloud is a pretty boy,i like its combination of terseness and elegance

 

六、补充

如果kafka没有启动,spring boot会启动失败,这个异常处理设计的真是缺德

/**
 * 1、修改背景 
 * 因kafka节点没有启动 在spring boot启动时初始化outputBindingLifecycle、inputBindingLifecycle
 * 两个bean时候连接kafka失败,向外抛出了异常直到EmbeddedWebApplicationContext类
 * 捕获处理,处理方式为:stopAndReleaseEmbeddedServletContainer()导致整个应用停止启动 
 * 2、修改方案
 * 干预上面两个bean的初始化,在连接kafka异常时,将异常处理掉,不向上层抛出
 * 3、修改步骤
 * 3.1、使用自定义MyBindingLifecycle的bean将BindingServiceConfiguration中的两个bean初始化替换掉
 * 3.2、在自定bean中启动线程MyBindingThread来控制两个bean的初始化
 * 4、解决启动问题之后,实际上kafka还是没有连接的,此时向kafka发送span时会失败,默认的处理方案是捕获到异常之后使用
 *   handleError处理,再次发送新的span,这就导致循环发送
 *   参见:ErrorHandlingTaskExecutor中的execute方法
 *   catch (Throwable t) 
 *   {
 *        ErrorHandlingTaskExecutor.this.errorHandler.handleError(t);
 *     }
 * 5、解决方案
 * 重写ErrorHandler的handleError方法
 * 6、跟踪代码发现
 * 跟踪发现ErrorHandler对线对象是在SourcePollingChannelAdapterFactoryBean初始化时候设置的
 * spca.setErrorHandler(this.pollerMetadata.getErrorHandler());
 * 进一步发现是在pollerMetadata对象中,所以需要在pollerMetadata对象初始化时候做修改
 * 7、修改步骤
 * 自定义MyPollerMetadata且需要@Configuration,重写handleError方法如下
 * @author zhangdingxin、yangxi
 */

 

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