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spring cloud Sleuth

时间:2017-04-30 17:15:44      阅读:309      评论:0      收藏:0      [点我收藏+]

标签:when   ***   方式   nbsp   username   als   sql   dts   twitter   

spring cloud sleuth是日志收集工具包,封装了Dapper和log-based追踪以及Zipkin和HTrace操作,为SpringCloud应用实现了一种分布式追踪解决方案。

首先,先弄清楚几个概念。

  Zipkin: 是 Twitter 的一个开源项目,允许开发者收集 Twitter 各个服务上的监控数据,并提供查询接口

技术分享

  该系统让开发者可通过一个 Web 前端轻松的收集和分析数据,例如用户每次请求服务的处理时间等,可方便的监测系统中存在的瓶颈。

spring cloud sleuth与zipkin的关系,sleuth集成了zipkin。

  zipkin的存储方式有多种,默认是保存在内存中,但是其不能持久保存,容器重启等一些其他情况可能导致数据的丢失,在本项目中,采用的保存到mysql数据库中。

  zipkin与sleuth集成中,数据存储方式有两种。一种是通过http,一种是通过绑定流,本项目为通过绑定rabbitmq消息流。

1、sleuth-server的建立

  1、pom引入

        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-sleuth-zipkin-stream</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-starter-sleuth</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-stream-binder-rabbit</artifactId>
        </dependency>
        <dependency>
            <groupId>io.zipkin.java</groupId>
            <artifactId>zipkin-autoconfigure-ui</artifactId>
        </dependency>
        <dependency>
            <groupId>io.zipkin.java</groupId>
            <artifactId>zipkin-server</artifactId>

        </dependency>
        <dependency>
            <groupId>org.springframework.boot</groupId>
            <artifactId>spring-boot-starter-jdbc</artifactId>
        </dependency>
        <dependency>
            <groupId>mysql</groupId>
            <artifactId>mysql-connector-java</artifactId>
            <optional>true</optional>
        </dependency>

        <dependency>
            <groupId>org.jooq</groupId>
            <artifactId>jooq</artifactId>
            <version>3.8.2</version>
        </dependency>

 

 前3个引入原因可以参考:https://github.com/spring-cloud/spring-cloud-sleuth

 jooq指定版本号的引入,在过程中出现了一个 can‘t load 。。的错误。查询后给出的解答。

  2、配置文件

 

server:
  port: 9411

spring:
  application:
    name: zipkin-server

  datasource:
    schema: classpath:/mysql.sql
    url: jdbc:mysql://172.18.218.252:23306/zipkin?autoReconnect=true&useSSL=false
    driver-class-name: com.mysql.jdbc.Driver
    username: ***
    password: ****
    initialize: true
    continue-on-error: true
  sleuth:
    enabled: false

  rabbitmq:
    port: 5672
    host: rabbitmq
    username: ****
    password: ****


zipkin:
  storage:
      type: mysql

 

  3、类文件

  

@SpringBootApplication
@EnableZipkinServer
public class sleuthmqsqlApplication {
    public static void main(String[] args) {
        SpringApplication.run(sleuthmqsqlApplication.class, args);
    }
}

附上mysql.sql

建立mysql.sql的文件在resource目录下,插入一下内容

CREATE TABLE IF NOT EXISTS zipkin_spans (
  `trace_id_high` BIGINT NOT NULL DEFAULT 0 COMMENT If non zero, this means the trace uses 128 bit traceIds instead of 64 bit,
  `trace_id` BIGINT NOT NULL,
  `id` BIGINT NOT NULL,
  `name` VARCHAR(255) NOT NULL,
  `parent_id` BIGINT,
  `debug` BIT(1),
  `start_ts` BIGINT COMMENT Span.timestamp(): epoch micros used for endTs query and to implement TTL,
  `duration` BIGINT COMMENT Span.duration(): micros used for minDuration and maxDuration query
) ENGINE=InnoDB ROW_FORMAT=COMPRESSED CHARACTER SET=utf8 COLLATE utf8_general_ci;

ALTER TABLE zipkin_spans ADD UNIQUE KEY(`trace_id_high`, `trace_id`, `id`) COMMENT ignore insert on duplicate;
ALTER TABLE zipkin_spans ADD INDEX(`trace_id_high`, `trace_id`, `id`) COMMENT for joining with zipkin_annotations;
ALTER TABLE zipkin_spans ADD INDEX(`trace_id_high`, `trace_id`) COMMENT for getTracesByIds;
ALTER TABLE zipkin_spans ADD INDEX(`name`) COMMENT for getTraces and getSpanNames;
ALTER TABLE zipkin_spans ADD INDEX(`start_ts`) COMMENT for getTraces ordering and range;

CREATE TABLE IF NOT EXISTS zipkin_annotations (
  `trace_id_high` BIGINT NOT NULL DEFAULT 0 COMMENT If non zero, this means the trace uses 128 bit traceIds instead of 64 bit,
  `trace_id` BIGINT NOT NULL COMMENT coincides with zipkin_spans.trace_id,
  `span_id` BIGINT 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 NOT NULL COMMENT BinaryAnnotation.type() or -1 if Annotation,
  `a_timestamp` BIGINT COMMENT Used to implement TTL; Annotation.timestamp or zipkin_spans.timestamp,
  `endpoint_ipv4` INT COMMENT Null when Binary/Annotation.endpoint is null,
  `endpoint_ipv6` BINARY(16) COMMENT Null when Binary/Annotation.endpoint is null, or no IPv6 address,
  `endpoint_port` SMALLINT COMMENT Null when Binary/Annotation.endpoint is null,
  `endpoint_service_name` VARCHAR(255) COMMENT Null when Binary/Annotation.endpoint is null
) ENGINE=InnoDB ROW_FORMAT=COMPRESSED CHARACTER SET=utf8 COLLATE utf8_general_ci;

ALTER TABLE zipkin_annotations ADD UNIQUE KEY(`trace_id_high`, `trace_id`, `span_id`, `a_key`, `a_timestamp`) COMMENT Ignore insert on duplicate;
ALTER TABLE zipkin_annotations ADD INDEX(`trace_id_high`, `trace_id`, `span_id`) COMMENT for joining with zipkin_spans;
ALTER TABLE zipkin_annotations ADD INDEX(`trace_id_high`, `trace_id`) COMMENT for getTraces/ByIds;
ALTER TABLE zipkin_annotations ADD INDEX(`endpoint_service_name`) COMMENT for getTraces and getServiceNames;
ALTER TABLE zipkin_annotations ADD INDEX(`a_type`) COMMENT for getTraces;
ALTER TABLE zipkin_annotations ADD INDEX(`a_key`) COMMENT for getTraces;
ALTER TABLE zipkin_annotations ADD INDEX(`trace_id`, `span_id`, `a_key`) COMMENT for dependencies job;

CREATE TABLE IF NOT EXISTS zipkin_dependencies (
  `day` DATE NOT NULL,
  `parent` VARCHAR(255) NOT NULL,
  `child` VARCHAR(255) NOT NULL,
  `call_count` BIGINT
) ENGINE=InnoDB ROW_FORMAT=COMPRESSED CHARACTER SET=utf8 COLLATE utf8_general_ci;

ALTER TABLE zipkin_dependencies ADD UNIQUE KEY(`day`, `parent`, `child`);

 

2、客户端

  1、pom文件引入

  

 <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-sleuth-stream</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-starter-sleuth</artifactId>
        </dependency>
        <dependency>
            <groupId>org.springframework.cloud</groupId>
            <artifactId>spring-cloud-stream-binder-rabbit</artifactId>
        </dependency>

  绑定rabbit消息流

  2、配置文件

server:
  port: 9988
spring:
  application:
    name: clientdemo
   
  rabbitmq:
    host: rabbitmq
    port: 5672
    username: ****
    password: ****

  主要配置rabbit连接信息

  3、类文件

  

public class ClientApplication {
    private static Logger logger = LoggerFactory.getLogger(ClientApplication.class);
    @Autowired
    ServicedemoImpl service;

    @RequestMapping("/service")
    public String getService() {
        logger.info("i am a client message,i‘m calling service");
        return service.getService();
    }

    @RequestMapping("/")
    public String getGreed() {
        return "Client success";
    }

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

    @RequestMapping("/ip")
    public String getIP() {
        return service.getIP();
    }

}

 

spring cloud Sleuth

标签:when   ***   方式   nbsp   username   als   sql   dts   twitter   

原文地址:http://www.cnblogs.com/yanyouqiang/p/6789629.html

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