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一、zipkin服务端配置
需要JAVA Spring Cloud大型企业分布式微服务云构建的B2B2C电子商务平台源码 一零三八七七四六二六
1.引入依赖

//===========消息队列方式的依赖=============
//此依赖会自动引入spring-cloud-sleuth-stream并且引入zipkin的依赖包
compile("org.springframework.cloud:spring-cloud-sleuth-zipkin-stream")
compile("org.springframework.cloud:spring-cloud-starter-stream-rabbit")
compile('io.zipkin.java:zipkin-autoconfigure-ui')
//保存到数据库需要如下依赖
compile('mysql:mysql-connector-java')
compile('org.springframework.boot:spring-boot-starter-jdbc')

2.启动类配置
在启动类加上@EnableZipkinStreamServer

@EnableZipkinStreamServer
@SpringBootApplication
public class ZipkinApplication {

public static void main(String[] args) {
SpringApplication.run(ZipkinApplication.class, args);
}

}

3.配置文件
完整配置如下,根据自己的设置进行修改即可

#================================基础配置==============================
#应用名
spring.application.name=zipking-server-v1
#端口
server.port=9411
#================================消息队列==============================
spring.rabbitmq.host=localhost
spring.rabbitmq.port=5672
spring.rabbitmq.username=guest
spring.rabbitmq.password=guest
#================================数据源配置===========================
#zipkin数据保存到数据库中需要进行如下配置
#表示当前程序不使用sleuth
spring.sleuth.enabled=false
#表示zipkin数据存储方式是mysql
zipkin.storage.type=mysql
#数据库脚本创建地址,当有多个是可使用[x]表示集合第几个元素
spring.datasource.schema[0]=classpath:/zipkin.sql
#spring boot数据源配置
spring.datasource.url=jdbc:mysql://localhost:3306/zipkin
spring.datasource.username=root
spring.datasource.password=123456
spring.datasource.driver-class-name=com.mysql.jdbc.Driver
spring.datasource.initialize=true
spring.datasource.continue-on-error=true

4.数据库文件
在本地数据库建立一个数据库,起名为zipkin。
在resources目录下新建zipkin.sql文件,内容如下

SET FOREIGN_KEY_CHECKS=0;

-- ----------------------------
-- Table structure for zipkin_annotations
-- ----------------------------
CREATE TABLE `zipkin_annotations` (
`trace_id` bigint(20) NOT NULL COMMENT 'coincides with zipkin_spans.trace_id',
`span_id` bigint(20) NOT NULL COMMENT 'coincides with zipkin_spans.id',
`a_key` varchar(255) NOT NULL COMMENT 'BinaryAnnotation.key or Annotation.value if type == -1',
`a_value` blob COMMENT 'BinaryAnnotation.value(), which must be smaller than 64KB',
`a_type` int(11) NOT NULL COMMENT 'BinaryAnnotation.type() or -1 if Annotation',
`a_timestamp` bigint(20) DEFAULT NULL COMMENT 'Used to implement TTL; 
Annotation.timestamp or zipkin_spans.timestamp', `endpoint_ipv4` int(11) DEFAULT NULL COMMENT 'Null when Binary/Annotation.endpoint is null', `endpoint_ipv6` binary(16) DEFAULT NULL COMMENT 'Null when Binary/Annotation.endpoint is null, or no IPv6 address', `endpoint_port` smallint(6) DEFAULT NULL COMMENT 'Null when Binary/Annotation.endpoint is null', `endpoint_service_name` varchar(255) DEFAULT NULL COMMENT 'Null when Binary/Annotation.endpoint is null', UNIQUE KEY `trace_id` (`trace_id`,`span_id`,`a_key`,`a_timestamp`) COMMENT 'Ignore insert on duplicate', KEY `trace_id_2` (`trace_id`,`span_id`) COMMENT 'for joining with zipkin_spans', KEY `trace_id_3` (`trace_id`) COMMENT 'for getTraces/ByIds', KEY `endpoint_service_name` (`endpoint_service_name`) COMMENT 'for getTraces and getServiceNames', KEY `a_type` (`a_type`) COMMENT 'for getTraces', KEY `a_key` (`a_key`) COMMENT 'for getTraces' ) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=COMPRESSED; -- ---------------------------- -- Table structure for zipkin_dependencies -- ---------------------------- CREATE TABLE `zipkin_dependencies` ( `day` date NOT NULL, `parent` varchar(255) NOT NULL, `child` varchar(255) NOT NULL, `call_count` bigint(20) DEFAULT NULL, UNIQUE KEY `day` (`day`,`parent`,`child`) ) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=COMPRESSED; -- ---------------------------- -- Table structure for zipkin_spans -- ---------------------------- CREATE TABLE `zipkin_spans` ( `trace_id` bigint(20) NOT NULL, `id` bigint(20) NOT NULL, `name` varchar(255) NOT NULL, `parent_id` bigint(20) DEFAULT NULL, `debug` bit(1) DEFAULT NULL, `start_ts` bigint(20) DEFAULT NULL COMMENT 'Span.timestamp(): epoch micros used for endTs query and to implement TTL', `duration` bigint(20) DEFAULT NULL COMMENT 'Span.duration(): micros used for minDuration and maxDuration query', UNIQUE KEY `trace_id` (`trace_id`,`id`) COMMENT 'ignore insert on duplicate', KEY `trace_id_2` (`trace_id`,`id`) COMMENT 'for joining with zipkin_annotations', KEY `trace_id_3` (`trace_id`) COMMENT 'for getTracesByIds', KEY `name` (`name`) COMMENT 'for getTraces and getSpanNames', KEY `start_ts` (`start_ts`) COMMENT 'for getTraces ordering and range' ) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=COMPRESSED;

zipkin的服务端就配置完成了,别忘记重新刷新下项目。

二、zipkin客户端配置
引入依赖

compile("org.springframework.cloud:spring-cloud-sleuth-zipkin-stream")
compile("org.springframework.cloud:spring-cloud-starter-stream-rabbit")

然后客户端就配置完成了

三、启动
这时候分别启动客户端和服务端,在日志中可以看到初始化mq连接。
然后访问一个客户端的rest接口,看看打开服务端locahost:9411,看看有没有生成记录,这时看看数据库,会建立三个表。就说明我们配置成功了。java B2B2C Springcloud仿淘宝电子商城系统


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