SpringCloud教程十一：Sleuth+Mysql服务链路追踪

springcloud中的服务链路追踪，之前我们已经讲过一次了，在实际应用中，我们经常需要将链路服务的记录保存下来，以实现服务的监测和分析，那么这就需要用到数据库了。下面我们来实现一下。数据库表结构：

CREATE TABLE `zipkin_annotations` (
  `trace_id_high` bigint(20) NOT NULL DEFAULT '0' COMMENT 'If non zero, this means the trace uses 128 bit traceIds instead of 64 bit',
  `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_high` (`trace_id_high`,`trace_id`,`span_id`,`a_key`,`a_timestamp`) COMMENT 'Ignore insert on duplicate',
  KEY `trace_id_high_2` (`trace_id_high`,`trace_id`,`span_id`) COMMENT 'for joining with zipkin_spans',
  KEY `trace_id_high_3` (`trace_id_high`,`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

CREATE TABLE `zipkin_dependencies` (
  `day` date NOT NULL,
  `parent` varchar(255) NOT NULL,
  `child` varchar(255) NOT NULL,
  `call_count` bigint(20) DEFAULT NULL,
  `error_count` bigint(20) DEFAULT NULL,
  UNIQUE KEY `day` (`day`,`parent`,`child`)
) ENGINE=InnoDB DEFAULT CHARSET=utf8 ROW_FORMAT=COMPRESSED


CREATE TABLE `zipkin_spans` (
  `trace_id_high` bigint(20) NOT NULL DEFAULT '0' COMMENT 'If non zero, this means the trace uses 128 bit traceIds instead of 64 bit',
  `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_high` (`trace_id_high`,`trace_id`,`id`) COMMENT 'ignore insert on duplicate',
  KEY `trace_id_high_2` (`trace_id_high`,`trace_id`,`id`) COMMENT 'for joining with zipkin_annotations',
  KEY `trace_id_high_3` (`trace_id_high`,`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

配置文件：

server.port=7085
spring.application.name=zipkin-server
eureka.instance.hostname=127.0.0.1

#rabbitmq配置
spring.rabbitmq.host=172.16.1.29
spring.rabbitmq.port=5672
spring.rabbitmq.username=admin
spring.rabbitmq.password=a123456

#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
# 数据库访问配置
# 主数据源，默认的
spring.datasource.type=com.alibaba.druid.pool.DruidDataSource
spring.datasource.driverClassName=com.mysql.jdbc.Driver
spring.datasource.url=jdbc:mysql://172.16.1.28:3306/springcloud
spring.datasource.username=cweserver
spring.datasource.password=cweserveryzhh

# 下面为连接池的补充设置，应用到上面所有数据源中
# 初始化大小，最小，最大
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置获取连接等待超时的时间
spring.datasource.maxWait=60000
# 配置间隔多久才进行一次检测，检测需要关闭的空闲连接，单位是毫秒
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一个连接在池中最小生存的时间，单位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
spring.datasource.validationQuery=SELECT 1 FROMDUAL
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 打开PSCache，并且指定每个连接上PSCache的大小
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
# 配置监控统计拦截的filters，去掉后监控界面sql无法统计，'wall'用于防火墙
spring.datasource.filters=stat,wall,log4j
# 通过connectProperties属性来打开mergeSql功能；慢SQL记录
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000

pom文件：

<parent>
   <groupId>org.springframework.bootgroupId>
   <artifactId>spring-boot-starter-parentartifactId>
   <version>1.5.10.RELEASEversion>
   <relativePath/> 
parent>

<properties>
   <project.build.sourceEncoding>UTF-8project.build.sourceEncoding>
   <project.reporting.outputEncoding>UTF-8project.reporting.outputEncoding>
   <java.version>1.8java.version>
   <spring-cloud.version>Edgware.SR1spring-cloud.version>
properties>

<dependencies>
   <dependency>
      <groupId>org.springframework.bootgroupId>
      <artifactId>spring-boot-starter-webartifactId>
   dependency>
   <dependency>
      <groupId>org.springframework.bootgroupId>
      <artifactId>spring-boot-starter-testartifactId>
      <scope>testscope>
   dependency>
   

   <dependency>
      <groupId>org.springframework.cloudgroupId>
      <artifactId>spring-cloud-sleuth-zipkin-streamartifactId>
      <version>1.3.1.RELEASEversion>
   dependency>
   <dependency>
      <groupId>org.springframework.cloudgroupId>
      <artifactId>spring-cloud-starter-stream-rabbitartifactId>
      <version>1.3.1.RELEASEversion>
   dependency>
   <dependency>
      <groupId>io.zipkin.javagroupId>
      <artifactId>zipkin-autoconfigure-uiartifactId>
   dependency>

   
   <dependency>
      <groupId>mysqlgroupId>
      <artifactId>mysql-connector-javaartifactId>
   dependency>
   <dependency>
      <groupId>org.springframework.bootgroupId>
      <artifactId>spring-boot-starter-jdbcartifactId>
   dependency>
   <dependency>
      <groupId>com.alibabagroupId>
      <artifactId>druidartifactId>
      <version>1.0.29version>
   dependency>
dependencies>

<dependencyManagement>
   <dependencies>
      <dependency>
         <groupId>org.springframework.cloudgroupId>
         <artifactId>spring-cloud-dependenciesartifactId>
         <version>${spring-cloud.version}version>
         <type>pomtype>
         <scope>importscope>
      dependency>
   dependencies>
dependencyManagement>

启动类：

@EnableZipkinStreamServer
@EnableEurekaClient
@SpringBootApplication

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