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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.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> <!--数据库--> <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>
启动类：
@EnableZipkinStreamServer @EnableEurekaClient @SpringBootApplicationpublic class ZipkinserverApplication { public static void main(String[] args) { SpringApplication. run(ZipkinserverApplication. class, args); }}