三、Spring Cloud系列：通过消息队列传输zipkin日志

注意，和前两篇写的没有关系了，(当然也可以在前两篇的基础上修改)

一、zipkin服务端配置

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@SpringBootApplicationpublic 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=localhostspring.rabbitmq.port=5672spring.rabbitmq.username=guestspring.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sleuthspring.sleuth.enabled=false#表示zipkin数据存储方式是mysqlzipkin.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/zipkinspring.datasource.username=rootspring.datasource.password=123456spring.datasource.driver-class-name=com.mysql.jdbc.Driverspring.datasource.initialize=truespring.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。