負載均衡分類
服務端負載均衡
常見的服務端負載均衡有Nginx,用戶端将請求發送給Nginx,Nginx根據負載均衡算法選擇一個伺服器調用,具體調用哪個伺服器由Nginx說了算,用戶端是不知道伺服器的真實IP的。
用戶端負載均衡
Spring Cloud Ribbon是基于NetFilix Ribbon實作的一套用戶端負載均衡,Ribbon用戶端元件提供了一系列的完善的配置,例如逾時,重試等。用戶端從注冊中心擷取到伺服器的清單,由用戶端自己根據負載均衡算法選擇将流量分發給哪個伺服器,用戶端是知道伺服器的真實IP的。
重寫RestTemplate的doExecute()方法實作負載均衡
通過閱讀RestTemplate源碼得知,不管是POST,GET請求,最終都會調用doExecute()方法,是以我們可以通過繼承RestTemplate類并重寫doExecute()方法來實作負載均衡算法。
package com.tuling.config;
import lombok.extern.slf4j.Slf4j;
import org.springframework.cloud.client.ServiceInstance;
import org.springframework.cloud.client.discovery.DiscoveryClient;
import org.springframework.http.HttpMethod;
import org.springframework.http.client.ClientHttpRequest;
import org.springframework.http.client.ClientHttpResponse;
import org.springframework.lang.Nullable;
import org.springframework.util.Assert;
import org.springframework.web.client.*;
import java.io.IOException;
import java.net.URI;
import java.net.URISyntaxException;
import java.util.List;
import java.util.Random;
/**
* 根據RestTemplate特性自己改造
*/
@Slf4j
public class TulingRestTemplate extends RestTemplate {
private DiscoveryClient discoveryClient;
public TulingRestTemplate (DiscoveryClient discoveryClient) {
this.discoveryClient = discoveryClient;
}
protected <T> T doExecute(URI url, @Nullable HttpMethod method, @Nullable RequestCallback requestCallback,
@Nullable ResponseExtractor<T> responseExtractor) throws RestClientException {
Assert.notNull(url, "URI is required");
Assert.notNull(method, "HttpMethod is required");
ClientHttpResponse response = null;
try {
log.info("請求的url路徑為:{}",url);
//把服務名 替換成我們的IP
url = replaceUrl(url);
log.info("替換後的路徑:{}",url);
ClientHttpRequest request = createRequest(url, method);
if (requestCallback != null) {
requestCallback.doWithRequest(request);
}
response = request.execute();
handleResponse(url, method, response);
return (responseExtractor != null ? responseExtractor.extractData(response) : null);
}
catch (IOException ex) {
String resource = url.toString();
String query = url.getRawQuery();
resource = (query != null ? resource.substring(0, resource.indexOf('?')) : resource);
throw new ResourceAccessException("I/O error on " + method.name() +
" request for \"" + resource + "\": " + ex.getMessage(), ex);
} finally {
if (response != null) {
response.close();
}
}
}
/**
* 方法實作說明:把微服務名稱去注冊中心拉取對應IP進行替換
* http://product-center/selectProductInfoById/1
* @param url:請求的url
* @return: 替換後的url
* @exception:
* @date:2020/2/6 13:11
*/
private URI replaceUrl(URI url){
//1:從URI中解析調用的調用的serviceName=product-center
String serviceName = url.getHost();
log.info("調用微服務的名稱:{}",serviceName);
//2:解析我們的請求路徑 reqPath= /selectProductInfoById/1
String reqPath = url.getPath();
log.info("請求path:{}",reqPath);
//通過微服務的名稱去nacos服務端擷取 對應的執行個體清單
List<ServiceInstance> serviceInstanceList = discoveryClient.getInstances(serviceName);
if(serviceInstanceList.isEmpty()) {
throw new RuntimeException("沒有可用的微服務執行個體清單:"+serviceName);
}
String serviceIp = chooseTargetIp(serviceInstanceList);
String source = serviceIp+reqPath;
try {
return new URI(source);
} catch (URISyntaxException e) {
log.error("根據source:{}建構URI異常",source);
}
return url;
}
/**
* 方法實作說明:從服務清單中 随機選舉一個ip
* @param serviceInstanceList 服務清單
* @return: 調用的ip
* @exception:
* @date:2020/2/6 13:15
*/
private String chooseTargetIp(List<ServiceInstance> serviceInstanceList) {
//采取随機的擷取一個
Random random = new Random();
Integer randomIndex = random.nextInt(serviceInstanceList.size());
String serviceIp = serviceInstanceList.get(randomIndex).getUri().toString();
log.info("随機選舉的服務IP:{}",serviceIp);
return serviceIp;
}
}
order服務的Controller:
package com.tuling.controller;
import com.tuling.entity.OrderInfo;
import com.tuling.entity.ProductInfo;
import com.tuling.mapper.OrderInfoMapper;
import com.tuling.vo.OrderVo;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.client.RestTemplate;
/**
* 自定義負載均衡的服務消費者
*/
@RestController
public class OrderInfoController {
@Autowired
private RestTemplate restTemplate;
@Autowired
private OrderInfoMapper orderInfoMapper;
@RequestMapping("/selectOrderInfoById/{orderNo}")
public Object selectOrderInfoById(@PathVariable("orderNo") String orderNo) {
OrderInfo orderInfo = orderInfoMapper.selectOrderInfoById(orderNo);
if(null == orderInfo) {
return "根據orderNo:"+orderNo+"查詢沒有該訂單";
}
ResponseEntity<ProductInfo> responseEntity = restTemplate.getForEntity("http://product-center/selectProductInfoById/"+orderInfo.getProductNo(), ProductInfo.class);
ProductInfo productInfo = responseEntity.getBody();
if(productInfo == null) {
return "沒有對應的商品";
}
OrderVo orderVo = new OrderVo();
orderVo.setOrderNo(orderInfo.getOrderNo());
orderVo.setUserName(orderInfo.getUserName());
orderVo.setProductName(productInfo.getProductName());
orderVo.setProductNum(orderInfo.getProductCount());
return orderVo;
}
}
在後端并行啟動兩個product執行個體:我們用 8081啟動一個服務後,然後修改端口為8082,如下圖所示勾選Allow parallel run,就可以同一個工程啟動兩個執行個體。
spring:
datasource:
druid:
username: root
password: 123456
jdbcUrl: jdbc:mysql://192.168.1.14:3306/tuling-ms-alibaba?serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=UTF-8&useSSL=false
driverClassName: com.mysql.jdbc.Driver
initialSize: 5
minIdle: 5
maxActive: 20
maxWait: 60000
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQuery: SELECT 1 FROM DUAL
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
filters: stat,wall #\u914D\u7F6E\u8FC7\u6EE4\u5668
maxPoolPreparedStatementPerConnectionSize: 20
useGlobalDataSourceStat: true
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
application:
name: product-center
cloud:
nacos:
discovery:
server-addr: 192.168.1.5:8848
server:
port: 8081
#port: 8082
檢視日志可以看到我們重寫的負載均衡方法先從注冊中心擷取到product服務的清單,并且随機選擇一個IP替換url。
2021-03-02 22:26:14.098 INFO 8449 --- [nio-8080-exec-9] com.tuling.config.TulingRestTemplate : 請求的url路徑為:http://product-center/selectProductInfoById/1
2021-03-02 22:26:14.098 INFO 8449 --- [nio-8080-exec-9] com.tuling.config.TulingRestTemplate : 調用微服務的名稱:product-center
2021-03-02 22:26:14.098 INFO 8449 --- [nio-8080-exec-9] com.tuling.config.TulingRestTemplate : 請求path:/selectProductInfoById/1
2021-03-02 22:26:14.098 INFO 8449 --- [nio-8080-exec-9] com.tuling.config.TulingRestTemplate : 随機選舉的服務IP:http://192.168.1.136:8081
2021-03-02 22:26:14.098 INFO 8449 --- [nio-8080-exec-9] com.tuling.config.TulingRestTemplate : 替換後的路徑:http://192.168.1.136:8081/selectProductInfoById/1
2021-03-02 22:26:18.477 INFO 8449 --- [io-8080-exec-10] com.tuling.config.TulingRestTemplate : 請求的url路徑為:http://product-center/selectProductInfoById/1
2021-03-02 22:26:18.477 INFO 8449 --- [io-8080-exec-10] com.tuling.config.TulingRestTemplate : 調用微服務的名稱:product-center
2021-03-02 22:26:18.477 INFO 8449 --- [io-8080-exec-10] com.tuling.config.TulingRestTemplate : 請求path:/selectProductInfoById/1
2021-03-02 22:26:18.478 INFO 8449 --- [io-8080-exec-10] com.tuling.config.TulingRestTemplate : 随機選舉的服務IP:http://192.168.1.136:8082
2021-03-02 22:26:18.478 INFO 8449 --- [io-8080-exec-10] com.tuling.config.TulingRestTemplate : 替換後的路徑:http://192.168.1.136:8082/selectProductInfoById/1
Ribbon元件使用
第一步:加入依賴(nacos-client和ribbon)
<!--加入nocas-client-->
<dependency>
<groupId>com.alibaba.cloud</groupId>
<artifactId>spring-cloud-alibaba-nacos-discovery</artifactId>
</dependency>
<!--加入ribbon-->
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-netflix-ribbon</artifactId>
</dependency>
第二步:在RestTemplate上加上@LoadBalanced注冊
package com.tuling.config;
import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;
import org.springframework.web.servlet.config.annotation.WebMvcConfigurer;
@Configuration
public class WebConfig implements WebMvcConfigurer {
@LoadBalanced
@Bean
public RestTemplate restTemplate( ) {
return new RestTemplate();
}
}
第三步:寫配置檔案(現在暫時用預設的ribbon負載均衡方法,配置檔案隻寫nacos的就行)
spring:
datasource:
druid:
username: root
password: 123456
jdbcUrl: jdbc:mysql://192.168.1.14:3306/tuling-ms-alibaba?serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=UTF-8&useSSL=false
driverClassName: com.mysql.jdbc.Driver
initialSize: 5
minIdle: 5
maxActive: 20
maxWait: 60000
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQuery: SELECT 1 FROM DUAL
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
filters: stat,wall #\u914D\u7F6E\u8FC7\u6EE4\u5668
maxPoolPreparedStatementPerConnectionSize: 20
useGlobalDataSourceStat: true
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
cloud:
nacos:
discovery:
server-addr: 192.168.1.5:8848
application:
name: order-center
server:
port: 8080
第四步:寫Controller
package com.tuling.controller;
import com.tuling.entity.OrderInfo;
import com.tuling.entity.ProductInfo;
import com.tuling.mapper.OrderInfoMapper;
import com.tuling.vo.OrderVo;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.http.ResponseEntity;
import org.springframework.web.bind.annotation.PathVariable;
import org.springframework.web.bind.annotation.RequestMapping;
import org.springframework.web.bind.annotation.RestController;
import org.springframework.web.client.RestTemplate;
/**
* 基于ribbon負載均衡
*/
@RestController
public class OrderInfoController {
@Autowired
private RestTemplate restTemplate;
@Autowired
private OrderInfoMapper orderInfoMapper;
@RequestMapping("/selectOrderInfoById/{orderNo}")
public Object selectOrderInfoById(@PathVariable("orderNo") String orderNo) {
OrderInfo orderInfo = orderInfoMapper.selectOrderInfoById(orderNo);
if(null == orderInfo) {
return "根據orderNo:"+orderNo+"查詢沒有該訂單";
}
ResponseEntity<ProductInfo> responseEntity = null;
try {
responseEntity = restTemplate.getForEntity("http://product-center/selectProductInfoById/"+orderInfo.getProductNo(), ProductInfo.class);
}catch (Exception e) {
System.out.println(e.getStackTrace());
}
ProductInfo productInfo = responseEntity.getBody();
if(productInfo == null) {
return "沒有對應的商品";
}
OrderVo orderVo = new OrderVo();
orderVo.setOrderNo(orderInfo.getOrderNo());
orderVo.setUserName(orderInfo.getUserName());
orderVo.setProductName(productInfo.getProductName());
orderVo.setProductNum(orderInfo.getProductCount());
return orderVo;
}
}
和前面一樣并行起2個product服務:
Ribbon細粒度自定義配置
場景:order服務需要采用随機算法調用product服務,使用輪詢算法調用pay服務,其他服務使用随機算法調用。
在order服務的配置檔案中指定即可:
spring:
datasource:
druid:
username: root
password: 123456
jdbcUrl: jdbc:mysql://192.168.1.14:3306/tuling-ms-alibaba?serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=UTF-8&useSSL=false
driverClassName: com.mysql.jdbc.Driver
initialSize: 5
minIdle: 5
maxActive: 20
maxWait: 60000
timeBetweenEvictionRunsMillis: 60000
minEvictableIdleTimeMillis: 300000
validationQuery: SELECT 1 FROM DUAL
testWhileIdle: true
testOnBorrow: false
testOnReturn: false
poolPreparedStatements: true
filters: stat,wall #\u914D\u7F6E\u8FC7\u6EE4\u5668
maxPoolPreparedStatementPerConnectionSize: 20
useGlobalDataSourceStat: true
connectionProperties: druid.stat.mergeSql=true;druid.stat.slowSqlMillis=500
cloud:
nacos:
discovery:
server-addr: 192.168.1.5:8848
#自定義負載均衡時使用
cluster-name: NJ-CLUSTER
metadata:
current-version: V1
application:
name: order-center
#開啟ribbon饑餓加載,解決微服務調用第一次很慢的情況下
ribbon:
NFLoadBalancerRuleClassName: com.netflix.loadbalancer.RandomRule
eager-load:
enabled: true
#可以指定多個微服務用逗号分隔
clients: product-center,pay-center
#
##自定義Ribbon的細粒度配置
product-center:
ribbon:
NFLoadBalancerRuleClassName: com.netflix.loadbalancer.RandomRule
pay-center:
ribbon:
NFLoadBalancerRuleClassName: com.netflix.loadbalancer.RoundRobinRule
server:
port: 8080
自定義負載均衡政策
order服務有V1一個版本,在NJ-Cluster(1個執行個體);product服務有V1,V2兩個版本分别在BJ-Cluster和NJ-Cluster(4個執行個體)。
要求order服務按照以下優先級調用product服務,跨版本不允許調用:
- 同叢集同版本。
- 同版本不同叢集。
package com.ribbonconfig;
import com.netflix.loadbalancer.IRule;
import com.tuling.myrule.TheSameClusterPriorityWithVersionRule;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
@Configuration
public class GlobalRibbonConfig {
@Bean
public IRule theSameClusterPriorityRule() {
return new TheSameClusterPriorityWithVersionRule(); //自定義負載均衡政策
}
}
編寫自定義負載均衡政策TheSameClusterPriorityWithVersionRule,繼承AbstractLoadBalancerRule并重寫choose()方法:
package com.tuling.myrule;
import com.alibaba.cloud.nacos.NacosDiscoveryProperties;
import com.alibaba.cloud.nacos.ribbon.NacosServer;
import com.alibaba.nacos.api.exception.NacosException;
import com.alibaba.nacos.api.naming.NamingService;
import com.alibaba.nacos.api.naming.pojo.Instance;
import com.netflix.client.config.IClientConfig;
import com.netflix.loadbalancer.AbstractLoadBalancerRule;
import com.netflix.loadbalancer.BaseLoadBalancer;
import com.netflix.loadbalancer.Server;
import lombok.extern.slf4j.Slf4j;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.util.StringUtils;
import java.util.ArrayList;
import java.util.List;
/**
* 自定義負載均衡,同叢集同版本優先調用,然後是跨叢集同版本
*/
@Slf4j
public class TheSameClusterPriorityWithVersionRule extends AbstractLoadBalancerRule {
@Autowired
private NacosDiscoveryProperties discoveryProperties;
@Override
public void initWithNiwsConfig(IClientConfig clientConfig) {
}
/**
* 重寫choose方法,自定義負載均衡政策
* @param key
* @return
*/
@Override
public Server choose(Object key) {
try {
//擷取目前的叢集名稱
String currentClusterName = discoveryProperties.getClusterName();
//擷取和目前叢集 相同叢集下,相同版本的 所有執行個體
List<Instance> theSameClusterNameAndTheSameVersionInstList = getTheSameClusterAndTheSameVersionInstances(discoveryProperties);
//聲明被調用的執行個體
Instance toBeChooseInstance;
//判斷同叢集同版本号的微服務執行個體是否為空
if(theSameClusterNameAndTheSameVersionInstList.isEmpty()) {
//如果沒有同叢集同版本的服務,跨叢集調用相同的版本
toBeChooseInstance = crossClusterAndTheSameVersionInovke(discoveryProperties);
}else {
toBeChooseInstance = TulingWeightedBalancer.chooseInstanceByRandomWeight(theSameClusterNameAndTheSameVersionInstList);
log.info("同叢集同版本調用--->目前微服務所在叢集:{},被調用微服務所在叢集:{},目前微服務的版本:{},被調用微服務版本:{},Host:{},Port:{}",
currentClusterName,toBeChooseInstance.getClusterName(),discoveryProperties.getMetadata().get("current-version"),
toBeChooseInstance.getMetadata().get("current-version"),toBeChooseInstance.getIp(),toBeChooseInstance.getPort());
}
return new NacosServer(toBeChooseInstance);
} catch (NacosException e) {
log.error("同叢集優先權重負載均衡算法選擇異常:{}",e);
return null;
}
}
/**
* 方法實作說明:擷取相同叢集下,相同版本的 所有執行個體
* @param discoveryProperties nacos的配置
* @return: List<Instance>
* @exception: NacosException
*/
private List<Instance> getTheSameClusterAndTheSameVersionInstances(NacosDiscoveryProperties discoveryProperties) throws NacosException {
//目前的叢集的名稱
String currentClusterName = discoveryProperties.getClusterName();
String currentVersion = discoveryProperties.getMetadata().get("current-version");
//擷取所有執行個體的資訊(包括不同叢集的)
List<Instance> allInstance = getAllInstances(discoveryProperties);
List<Instance> theSameClusterNameAndTheSameVersionInstList = new ArrayList<>();
//過濾相同叢集的
for(Instance instance : allInstance) {
if(StringUtils.endsWithIgnoreCase(instance.getClusterName(),currentClusterName)&&
StringUtils.endsWithIgnoreCase(instance.getMetadata().get("current-version"),currentVersion)) {
theSameClusterNameAndTheSameVersionInstList.add(instance);
}
}
return theSameClusterNameAndTheSameVersionInstList;
}
/**
* 方法實作說明:擷取被調用服務的所有執行個體
* @param discoveryProperties nacos的配置
* @return: List<Instance>
* @exception: NacosException
*/
private List<Instance> getAllInstances(NacosDiscoveryProperties discoveryProperties) throws NacosException {
//第1步:擷取一個負載均衡對象
BaseLoadBalancer baseLoadBalancer = (BaseLoadBalancer) getLoadBalancer();
//第2步:擷取目前調用的微服務的名稱
String invokedSerivceName = baseLoadBalancer.getName();
//第3步:擷取nacos clinet的服務注冊發現元件的api
NamingService namingService = discoveryProperties.namingServiceInstance();
//第4步:擷取所有的服務執行個體
List<Instance> allInstance = namingService.getAllInstances(invokedSerivceName);
return allInstance;
}
/**
* 方法實作說明:跨叢集環境下 相同版本的
* @param discoveryProperties
* @return: List<Instance>
* @exception: NacosException
*/
private List<Instance> getCrossClusterAndTheSameVersionInstList(NacosDiscoveryProperties discoveryProperties) throws NacosException {
//版本号
String currentVersion = discoveryProperties.getMetadata().get("current-version");
//被調用的所有執行個體
List<Instance> allInstance = getAllInstances(discoveryProperties);
List<Instance> crossClusterAndTheSameVersionInstList = new ArrayList<>();
//過濾相同版本
for(Instance instance : allInstance) {
if(StringUtils.endsWithIgnoreCase(instance.getMetadata().get("current-version"),currentVersion)) {
crossClusterAndTheSameVersionInstList.add(instance);
}
}
return crossClusterAndTheSameVersionInstList;
}
private Instance crossClusterAndTheSameVersionInovke(NacosDiscoveryProperties discoveryProperties) throws NacosException {
//擷取所有叢集下相同版本的執行個體資訊
List<Instance> crossClusterAndTheSameVersionInstList = getCrossClusterAndTheSameVersionInstList(discoveryProperties);
//目前微服務的版本号
String currentVersion = discoveryProperties.getMetadata().get("current-version");
//目前微服務的叢集名稱
String currentClusterName = discoveryProperties.getClusterName();
//聲明被調用的執行個體
Instance toBeChooseInstance = null ;
//沒有對應相同版本的執行個體
if(crossClusterAndTheSameVersionInstList.isEmpty()) {
log.info("跨叢集調用找不到對應合适的版本目前版本為:currentVersion:{}",currentVersion);
throw new RuntimeException("找不到相同版本的微服務執行個體");
}else {
toBeChooseInstance = TulingWeightedBalancer.chooseInstanceByRandomWeight(crossClusterAndTheSameVersionInstList);
log.info("跨叢集同版本調用--->目前微服務所在叢集:{},被調用微服務所在叢集:{},目前微服務的版本:{},被調用微服務版本:{},Host:{},Port:{}",
currentClusterName,toBeChooseInstance.getClusterName(),discoveryProperties.getMetadata().get("current-version"),
toBeChooseInstance.getMetadata().get("current-version"),toBeChooseInstance.getIp(),toBeChooseInstance.getPort());
}
return toBeChooseInstance;
}
}
RestTemplate添加@LoadBalanced注解:
package com.tuling.config;
import org.springframework.cloud.client.loadbalancer.LoadBalanced;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration;
import org.springframework.web.client.RestTemplate;
@Configuration
public class WebConfig {
@LoadBalanced
@Bean
public RestTemplate restTemplate( ) {
return new RestTemplate();
}
}
order服務Controller方法和之前一樣。
連續在浏覽器請求order服務,在所有product服務都好的情況下,會優先調用同叢集同版本的:
2021-03-04 23:42:20.492 INFO 9478 --- [nio-8080-exec-2] .m.TheSameClusterPriorityWithVersionRule : 同叢集同版本調用--->目前微服務所在叢集:NJ-CLUSTER,被調用微服務所在叢集:NJ-CLUSTER,目前微服務的版本:V1,被調用微服務版本:V1,Host:192.168.1.136,Port:8081
2021-03-04 23:42:32.408 INFO 9478 --- [nio-8080-exec-4] .m.TheSameClusterPriorityWithVersionRule : 同叢集同版本調用--->目前微服務所在叢集:NJ-CLUSTER,被調用微服務所在叢集:NJ-CLUSTER,目前微服務的版本:V1,被調用微服務版本:V1,Host:192.168.1.136,Port:8081
2021-03-04 23:42:33.029 INFO 9478 --- [nio-8080-exec-5] .m.TheSameClusterPriorityWithVersionRule : 同叢集同版本調用--->目前微服務所在叢集:NJ-CLUSTER,被調用微服務所在叢集:NJ-CLUSTER,目前微服務的版本:V1,被調用微服務版本:V1,Host:192.168.1.136,Port:8081
将NJ-Cluster,V1版本的product服務下線,此時會去調BJ-Cluster的V1版本的服務:
2021-03-04 23:47:10.242 INFO 9478 --- [nio-8080-exec-8] .m.TheSameClusterPriorityWithVersionRule : 跨叢集同版本調用--->目前微服務所在叢集:NJ-CLUSTER,被調用微服務所在叢集:BJ-CLUSTER,目前微服務的版本:V1,被調用微服務版本:V1,Host:192.168.1.136,Port:8083
2021-03-04 23:47:11.627 INFO 9478 --- [nio-8080-exec-9] .m.TheSameClusterPriorityWithVersionRule : 跨叢集同版本調用--->目前微服務所在叢集:NJ-CLUSTER,被調用微服務所在叢集:BJ-CLUSTER,目前微服務的版本:V1,被調用微服務版本:V1,Host:192.168.1.136,Port:8083
2021-03-04 23:47:12.380 INFO 9478 --- [io-8080-exec-10] .m.TheSameClusterPriorityWithVersionRule : 跨叢集同版本調用--->目前微服務所在叢集:NJ-CLUSTER,被調用微服務所在叢集:BJ-CLUSTER,目前微服務的版本:V1,被調用微服務版本:V1,Host:192.168.1.136,Port:8083
如果将NJ-Cluster,V1版本的product服務也下線,此時由于剩下的隻有V2版本的product服務,将無法調用: