Spring Cloud Sleuth为Spring Cloud实现了分布式跟踪解决方案。html
Spring Cloud Sleuth借鉴了Dapper的术语。java
Span:基本的工做单元。Span包括一个64位的惟一ID,一个64位trace码,描述信息,时间戳事件,key-value 注解(tags),span处理者的ID(一般为IP)。web
Trace:一组Span造成的树形结构。spring
Annotation:用于及时记录存在的事件。经常使用的Annotation以下:springboot
下图展现了Span和Trace在系统中的联系服务器
在application.properties文件中指定网络
spring.zipkin.sender.type=web
为何选择 RabbitMQ 消息中间件发送 span 信息并发
示例包含sleuth-search、sleuth-cart、sleuth-order三个系统,用来模拟电商系统中下单的流程,用户能够搜索商品而后当即下单,也能够搜索多个商品后加入购物车,而后下单,调用状况即 search -> cart -> order,或 search -> order。mvc
示例使用 RestTemplate
来完成三个系统间的 http
请求响应,请求方式也都遵循Restful
风格。app
版本必定要对应好,一些低版本的SpringBoot没法兼容新版本的SpringCloud和zipkin
工具 | 版本 |
---|---|
SpringBoot | 2.1.6.RELEASE |
SpringCloud | Greenwich.SR3 |
zipkin | 2.16.2 |
demo-cloudsleuth |- sleuth-search |- sleuth-cart |- sleuth-order pom.xml
<!-- 引入 springboot 和 springcloud 父工程 --> <parent> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-parent</artifactId> <version>2.1.6.RELEASE</version> <relativePath/> </parent> <dependencyManagement> <dependencies> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-dependencies</artifactId> <version>Greenwich.SR3</version> <type>pom</type> <scope>import</scope> </dependency> </dependencies> </dependencyManagement> <dependencies> <dependency> <groupId>org.springframework.cloud</groupId> <artifactId>spring-cloud-starter-zipkin</artifactId> </dependency> <dependency> <groupId>org.springframework.amqp</groupId> <artifactId>spring-rabbit</artifactId> </dependency> <!-- Springboot 相关 --> <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>
配置 RestTemplate,RestTemplate是SpringBoot提供的封装好的http工具类,能够帮助咱们简化http的使用。
package com.anqi.cart.resttmplate; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.http.client.ClientHttpRequestFactory; import org.springframework.http.client.SimpleClientHttpRequestFactory; import org.springframework.web.client.RestTemplate; @Configuration public class RestTemplateConfig { @Bean public RestTemplate restTemplate(ClientHttpRequestFactory factory) { return new RestTemplate(factory); } @Bean public ClientHttpRequestFactory clientHttpRequestFactory() { SimpleClientHttpRequestFactory factory = new SimpleClientHttpRequestFactory(); factory.setConnectTimeout(5000); factory.setReadTimeout(5000); return factory; } }
三个系统下的application.properties,端口分别是8081 8082 8083
#server.port=8081 server.port=8082 server.port=8083 server.servlet.context-path=/ spring.zipkin.base-url=http://localhost:9411/ spring.zipkin.service.name=sleuth-cart #使用默认 http 方式收集 span 须要配置此项 #spring.zipkin.sender.type=web #sleuth 使用 rabbitmq 来向 zipkin 发送数据 spring.zipkin.sender.type=rabbit spring.rabbitmq.host=localhost spring.rabbitmq.port=5672 spring.rabbitmq.username=guest spring.rabbitmq.password=guest #设置采样率默认为 0.1 注意以前的版本是percentage 新版本中更换为 probability spring.sleuth.sampler.probability=1
三个系统下的RestTemplate的配置,用来简化 http 请求
package com.anqi.cart.resttmplate; import org.springframework.context.annotation.Bean; import org.springframework.context.annotation.Configuration; import org.springframework.http.client.ClientHttpRequestFactory; import org.springframework.http.client.SimpleClientHttpRequestFactory; import org.springframework.web.client.RestTemplate; @Configuration public class RestTemplateConfig { @Bean public RestTemplate restTemplate(ClientHttpRequestFactory factory) { return new RestTemplate(factory); } @Bean public ClientHttpRequestFactory clientHttpRequestFactory() { SimpleClientHttpRequestFactory factory = new SimpleClientHttpRequestFactory(); factory.setConnectTimeout(5000); factory.setReadTimeout(5000); return factory; } }
@RequestMapping("cart") @RestController public class CartController { @Autowired RestTemplate restTemplate; @Autowired CartService cartService; private static final String orderUrl = "http://localhost:8084/order/create"; @GetMapping("/add/{cartId}") public String addToCart(@PathVariable("cartId") String cartId) { cartService.addProductToCart(cartId, "小米8"); ResponseEntity<String> res = restTemplate.getForEntity(orderUrl, String.class); return res.getBody(); } }
@RequestMapping("order") @RestController public class OrderController { @GetMapping("/create") public String creatOrder() { System.out.println("create order"); return "create_order"; } }
@RestController public class SearchController { @Autowired RestTemplate restTemplate; private static final String cartUrl = "http://localhost:8083/cart/add/1"; private static final String orderUrl = "http://localhost:8084/order/create"; @GetMapping("/search") public String search() { ResponseEntity<String> cartRes = restTemplate.getForEntity(cartUrl, String.class); ResponseEntity<String> orderRes = restTemplate.getForEntity(orderUrl, String.class); return "cart:" + cartRes.getBody() + "- order:" + orderRes.getBody(); } }
启动Zipkin
java -jar zipkin-server-2.16.2-exec.jar
网页中手动访问
http://localhost:8082/search
咱们访问zipkin站点查询调用状况
http://localhost:9411/zipkin/traces/94b954d843012ca9
能够从下图中完整清晰的看到三个系统的调用关系
下图为zipkin调用预览,咱们请求四次http://localhost:8082/search
来更直观的观察数据。在如下界面中,较为简洁的显示Span的个数以及调用总时延。
咱们进入一个完整的调用链后访问其中的一个节点获得如下数据。
如下为一次全链路追踪的详细信息,包含7个span的全部信息,以上看到的页面展现均有如下数据加以渲染而成。
[ { "traceId": "94b954d843012ca9", "parentId": "bab70b1e69a5f3e3", "id": "96387b33a823ca8f", "kind": "SERVER", "name": "get /order/create", "timestamp": 1569060494069123, "duration": 1161, "localEndpoint": { "serviceName": "sletuth-order", "ipv4": "192.168.0.107" }, "remoteEndpoint": { "ipv4": "127.0.0.1", "port": 49863 }, "tags": { "http.method": "GET", "http.path": "/order/create", "mvc.controller.class": "OrderController", "mvc.controller.method": "creatOrder" }, "shared": true }, { "traceId": "94b954d843012ca9", "parentId": "94b954d843012ca9", "id": "90f7e5cfa89e0d80", "kind": "SERVER", "name": "get /order/create", "timestamp": 1569060494076287, "duration": 1296, "localEndpoint": { "serviceName": "sletuth-order", "ipv4": "192.168.0.107" }, "remoteEndpoint": { "ipv4": "127.0.0.1", "port": 49864 }, "tags": { "http.method": "GET", "http.path": "/order/create", "mvc.controller.class": "OrderController", "mvc.controller.method": "creatOrder" }, "shared": true }, { "traceId": "94b954d843012ca9", "parentId": "94b954d843012ca9", "id": "bab70b1e69a5f3e3", "kind": "CLIENT", "name": "get", "timestamp": 1569060494063693, "duration": 10374, "localEndpoint": { "serviceName": "sleuth-search", "ipv4": "192.168.0.107" }, "tags": { "http.method": "GET", "http.path": "/cart/add/1" } }, { "traceId": "94b954d843012ca9", "parentId": "94b954d843012ca9", "id": "90f7e5cfa89e0d80", "kind": "CLIENT", "name": "get", "timestamp": 1569060494074966, "duration": 2848, "localEndpoint": { "serviceName": "sleuth-search", "ipv4": "192.168.0.107" }, "tags": { "http.method": "GET", "http.path": "/order/create" } }, { "traceId": "94b954d843012ca9", "id": "94b954d843012ca9", "kind": "SERVER", "name": "get /search", "timestamp": 1569060494062631, "duration": 16332, "localEndpoint": { "serviceName": "sleuth-search", "ipv4": "192.168.0.107" }, "remoteEndpoint": { "ipv6": "::1", "port": 49859 }, "tags": { "http.method": "GET", "http.path": "/search", "mvc.controller.class": "SearchController", "mvc.controller.method": "search" } }, { "traceId": "94b954d843012ca9", "parentId": "bab70b1e69a5f3e3", "id": "96387b33a823ca8f", "kind": "CLIENT", "name": "get", "timestamp": 1569060494067090, "duration": 3197, "localEndpoint": { "serviceName": "sleuth-cart", "ipv4": "192.168.0.107" }, "tags": { "http.method": "GET", "http.path": "/order/create" } }, { "traceId": "94b954d843012ca9", "parentId": "94b954d843012ca9", "id": "bab70b1e69a5f3e3", "kind": "SERVER", "name": "get /cart/add/{cartid}", "timestamp": 1569060494066140, "duration": 8150, "localEndpoint": { "serviceName": "sleuth-cart", "ipv4": "192.168.0.107" }, "remoteEndpoint": { "ipv4": "127.0.0.1", "port": 49862 }, "tags": { "http.method": "GET", "http.path": "/cart/add/1", "mvc.controller.class": "CartController", "mvc.controller.method": "addToCart" }, "shared": true } ]
启动 zipkin,注意参数
java -jar zipkin-server-2.16.2-exec.jar --RABBIT_ADDRESSES=localhost:5672 --RABBIT_USER=guest --RABBIT_PASSWORD=guest --RABBIT_VIRTUAL_HOST=/
启动 rabbitmq
rabbitmq-server
在测试的时候发现 mq 和以上方式时延相差无几,可是随着线程数的增长也就是并发量的增长,mq 传输时延将会大大低于 http。
原文出处:https://www.cnblogs.com/haixiang/p/11568659.html