springcloud中的服務鏈路追蹤，之前我們已經講過一次了，在實際應用中，我們經常需要將鏈路服務的記錄儲存下來，以實現服務的監測和分析，那麼這就需要用到資料庫了。下面我們來實現一下。資料庫表結構：

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

配置檔案：

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資料儲存到資料庫中需要進行如下配置
#表示當前程式不使用sleuth
spring.sleuth.enabled=false
#表示zipkin資料儲存方式是mysql
 
zipkin.storage.type=mysql
#資料庫指令碼建立地址，當有多個是可使用[x]表示集合第幾個元素
#spring.datasource.schema[0]=classpath:/zipkin.sql
#spring boot資料來源配置
# 資料庫訪問配置
# 主資料來源，預設的
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
# 下面為連線池的補充設定，應用到上面所有資料來源中
# 初始化大小，最小，最大
spring.datasource.initialSize=5
spring.datasource.minIdle=5
spring.datasource.maxActive=20
# 配置獲取連線等待超時的時間
spring.datasource.maxWait=60000
# 配置間隔多久才進行一次檢測，檢測需要關閉的空閒連線，單位是毫秒
spring.datasource.timeBetweenEvictionRunsMillis=60000
# 配置一個連線在池中最小生存的時間，單位是毫秒
spring.datasource.minEvictableIdleTimeMillis=300000
spring.datasource.validationQuery=SELECT 1 FROMDUAL
spring.datasource.testWhileIdle=true
spring.datasource.testOnBorrow=false
spring.datasource.testOnReturn=false
# 開啟PSCache，並且指定每個連線上PSCache的大小
spring.datasource.poolPreparedStatements=true
spring.datasource.maxPoolPreparedStatementPerConnectionSize=20
# 配置監控統計攔截的filters，去掉後監控介面sql無法統計，'wall'用於防火牆
spring.datasource.filters=stat,wall,log4j
# 通過connectProperties屬性來開啟mergeSql功能；慢SQL記錄
spring.datasource.connectionProperties=druid.stat.mergeSql=true;druid.stat.slowSqlMillis=5000

pom檔案：

<parent>
   <groupId>org.springframework.boot</groupId>
   <artifactId>spring-boot-starter-parent</artifactId>
   <version>1.5.10.RELEASE</version>
   <relativePath/> <!-- lookup parent from repository -->
</parent>

<properties>
   <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
   <project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
   <java.version>1.8</java.version>
   <spring-cloud.version>Edgware.SR1</spring-cloud.version>
</properties>

<dependencies>
   <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>
   <!--zipkin-->
<dependency>
      <groupId>org.springframework.cloud</groupId>
      <artifactId>spring-cloud-sleuth-zipkin-stream</artifactId>
      <version>1.3.1.RELEASE</version>
   </dependency>
   <dependency>
      <groupId>org.springframework.cloud</groupId>
      <artifactId>spring-cloud-starter-stream-rabbit</artifactId>
      <version>1.3.1.RELEASE</version>
   </dependency>
   <dependency>
      <groupId>io.zipkin.java</groupId>
      <artifactId>zipkin-autoconfigure-ui</artifactId>
   </dependency>

   <!--資料庫-->
<dependency>
      <groupId>mysql</groupId>
      <artifactId>mysql-connector-java</artifactId>
   </dependency>
   <dependency>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-jdbc</artifactId>
   </dependency>
   <dependency>
      <groupId>com.alibaba</groupId>
      <artifactId>druid</artifactId>
      <version>1.0.29</version>
   </dependency>
</dependencies>

<dependencyManagement>
   <dependencies>
      <dependency>
         <groupId>org.springframework.cloud</groupId>
         <artifactId>spring-cloud-dependencies</artifactId>
         <version>${spring-cloud.version}</version>
         <type>pom</type>
         <scope>import</scope>
      </dependency>
   </dependencies>
</dependencyManagement>

啟動類：

@EnableZipkinStreamServer
@EnableEurekaClient
@SpringBootApplication