1.zipkin server

1.1.新建Springboot项目,zinkin

1.2.添加依赖

        <dependency>
<groupId>io.zipkin.java</groupId>
<artifactId>zipkin-server</artifactId>
</dependency>
<dependency>
<groupId>io.zipkin.java</groupId>
<artifactId>zipkin-autoconfigure-ui</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
<scope>runtime</scope>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-jdbc</artifactId>
</dependency>
<dependency>
<groupId>io.zipkin.java</groupId>
<artifactId>zipkin-autoconfigure-storage-mysql</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-starter-eureka</artifactId>
</dependency>
<dependency>
<groupId>io.zipkin.java</groupId>
<artifactId>zipkin-storage-mysql</artifactId>
<version>2.4.9</version>
</dependency>

1.3.修改配置文件

zipkin:
storage:
type: mysql spring:
datasource:
schema: classpath*:sql/mysql.sql
url: jdbc:mysql://127.0.0.1:3306/altair_tmp?useUnicode=true&characterEncoding=utf8&autoReconnect=true
username: root
password: 123456
# Switch this on to create the schema on startup:
# initialize: true
# continueOnError: true
sleuth:
enabled: false server:
port: 9944 eureka:
client:
service-url:
defaultZone: http://th-blog.cn:7000/eureka/

1.4.主启动类

package com.chinawayltd.altair.zipkin;

import org.apache.tomcat.jdbc.pool.DataSource;
import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.netflix.eureka.EnableEurekaClient;
import org.springframework.context.annotation.Bean;
import zipkin.server.internal.EnableZipkinServer;
import zipkin.storage.mysql.MySQLStorage; @SpringBootApplication
@EnableEurekaClient
@EnableZipkinServer
public class ZipkinApplication { public static void main(String[] args) {
SpringApplication.run(ZipkinApplication.class, args);
}
@Bean
public MySQLStorage mySQLStorage(DataSource datasource) {
return MySQLStorage.builder().datasource(datasource).executor(Runnable::run).build();
}
}

1.5.新建表

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'; 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.zipkin client

2.1.添加依赖

        <dependency>
<groupId>io.zipkin.brave</groupId>
<artifactId>brave-core</artifactId>
</dependency>
<dependency>
<groupId>io.zipkin.brave</groupId>
<artifactId>brave-http</artifactId>
</dependency>
<dependency>
<groupId>com.squareup.okhttp3</groupId>
<artifactId>okhttp</artifactId>
<version>3.8.1</version>
<scope>compile</scope>
</dependency>
<dependency>
<groupId>io.zipkin.brave</groupId>
<artifactId>brave-spancollector-http</artifactId>
</dependency>
<dependency>
<groupId>io.zipkin.brave</groupId>
<artifactId>brave-okhttp</artifactId>
</dependency>
<dependency>
<groupId>io.zipkin.brave</groupId>
<artifactId>brave-web-servlet-filter</artifactId>
</dependency>
<dependency>
<groupId>io.zipkin.brave</groupId>
<artifactId>brave-mysql</artifactId>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpclient</artifactId>
</dependency>

2.2.修改配置文件

com:
zipkin:
serviceName: altair-user-console-v1
url: http://localhost:9944
connectTimeout: 6000
readTimeout: 6000
flushInterval: 1
compressionEnabled: true

2.3.config

package com.chinawayltd.altair.user.console.config;

import com.github.kristofa.brave.Brave;
import com.github.kristofa.brave.EmptySpanCollectorMetricsHandler;
import com.github.kristofa.brave.Sampler;
import com.github.kristofa.brave.SpanCollector;
import com.github.kristofa.brave.http.DefaultSpanNameProvider;
import com.github.kristofa.brave.http.HttpSpanCollector;
import com.github.kristofa.brave.mysql.MySQLStatementInterceptorManagementBean;
import com.github.kristofa.brave.okhttp.BraveOkHttpRequestResponseInterceptor;
import com.github.kristofa.brave.servlet.BraveServletFilter;
import okhttp3.OkHttpClient;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.beans.factory.annotation.Value;
import org.springframework.context.annotation.Bean;
import org.springframework.context.annotation.Configuration; /**
* Created by liaokailin on 16/7/27.
*/
@Configuration
public class ZipkinConfig {
@Value("${com.zipkin.serviceName}")
private String serviceName;
@Value("${com.zipkin.url}")
private String url;
@Value("${com.zipkin.connectTimeout}")
private int connectTimeout;
@Value("${com.zipkin.readTimeout}")
private int readTimeout;
@Value("${com.zipkin.flushInterval}")
private int flushInterval;
@Value("${com.zipkin.compressionEnabled}")
private boolean compressionEnabled; @Bean
public SpanCollector spanCollector() {
HttpSpanCollector.Config config = HttpSpanCollector.Config.builder().connectTimeout(connectTimeout).readTimeout(readTimeout)
.compressionEnabled(compressionEnabled).flushInterval(flushInterval).build();
return HttpSpanCollector.create(url, config, new EmptySpanCollectorMetricsHandler());
} @Bean
public Brave brave(SpanCollector spanCollector){
Brave.Builder builder = new Brave.Builder(serviceName); //指定state
builder.spanCollector(spanCollector);
builder.traceSampler(Sampler.ALWAYS_SAMPLE);
Brave brave = builder.build();
return brave;
} @Bean
public BraveServletFilter braveServletFilter(Brave brave){
BraveServletFilter filter = new BraveServletFilter(brave.serverRequestInterceptor(),brave.serverResponseInterceptor(),new DefaultSpanNameProvider());
return filter;
} @Bean
public OkHttpClient okHttpClient(Brave brave){
OkHttpClient client = new OkHttpClient.Builder()
.addInterceptor(new BraveOkHttpRequestResponseInterceptor(brave.clientRequestInterceptor(), brave.clientResponseInterceptor(), new DefaultSpanNameProvider()))
.build();
return client;
} @Bean
public MySQLStatementInterceptorManagementBean mySQLStatementInterceptorManagementBean(Brave brave) {
return new MySQLStatementInterceptorManagementBean(brave.clientTracer());
}
}

参考文档:https://blog.csdn.net/qq_37843943/article/details/80835437

      https://my.oschina.net/u/136848/blog/1623460

SpringCloud:Zipkin链路追踪,并将数据写入mysql的更多相关文章

  1. 微服务 Zipkin 链路追踪原理(图文详解)

    一个看起来很简单的应用,可能需要数十或数百个服务来支撑,一个请求就要多次服务调用. 当请求变慢.或者不能使用时,我们是不知道是哪个后台服务引起的. 这时,我们使用 Zipkin 就能解决这个问题. 由 ...

  2. PHP如何通过SQL语句将数据写入MySQL数据库呢?

    1,php和MySQL建立连接关系 2,打开 3,接受页面数据,PHP录入到指定的表中 1.2两步可直接使用一个数据库链接文件即可:conn.php <?phpmysql_connect(&qu ...

  3. 将pandas的DataFrame数据写入MySQL数据库 + sqlalchemy

    将pandas的DataFrame数据写入MySQL数据库 + sqlalchemy import pandas as pd from sqlalchemy import create_engine ...

  4. flink04 -----1 kafkaSource 2. kafkaSource的偏移量的存储位置 3 将kafka中的数据写入redis中去 4 将kafka中的数据写入mysql中去

    1. kafkaSource 见官方文档 2. kafkaSource的偏移量的存储位置 默认存在kafka的特殊topic中,但也可以设置参数让其不存在kafka的特殊topic中   3   将k ...

  5. 微服务SpringCloud之zipkin链路追踪

    随着业务发展,系统拆分导致系统调用链路愈发复杂一个前端请求可能最终需要调用很多次后端服务才能完成,当整个请求变慢或不可用时,我们是无法得知该请求是由某个或某些后端服务引起的,这时就需要解决如何快读定位 ...

  6. SpringCloud(七)之SpringCloud的链路追踪组件Sleuth实战,以及 zipkin 的部署和使用

    一.前言 Spring Cloud Sleuth 主要功能就是在分布式系统中提供追踪解决方案 ,并且兼容了zipkin,提供了REST API接口来辅助我们查询跟踪数据以实现对分布式系统的监控程序 . ...

  7. 十一、springcloud之链路追踪Sleuth

    一.背景 随着微服务的数量增长,一个业务接口涉及到多个微服务的交互,在出错的情况下怎么能够快速的定位错误 二.简介 Spring Cloud Sleuth 主要功能就是在分布式系统中提供追踪解决方案, ...

  8. SpringCloud之链路追踪整合Sleuth(十三)

    前言 SpringCloud 是微服务中的翘楚,最佳的落地方案. 在一个完整的微服务架构项目中,服务之间的调用是很复杂的,当其中某一个服务出现了问题或者访问超时,很 难直接确定是由哪个服务引起的,所以 ...

  9. zipkin链路追踪

    zipkin架构说明 zipkin api 我想自己搞一些满足zipkin格式的日志,入库es,然后让zipkin仅做展示 1.需要了解zipkin组件 2,学习zipkin设计原理,何时何地产生日志 ...

随机推荐

  1. 安装License需要重启

    "only commands for license handling are allowed in current state" Can you confirm if licen ...

  2. 关于近期使用webpack所引发的思考

    近期,(使其也挺长时间了).使用了一段时间的webpack. 但是在使用期间个人感觉并不想网上说的那样好,个人对webpack的评价并不是很高,甚至有点反感使用webpack. 个人感觉使用webpa ...

  3. Spring事务传播机制与隔离机制

    详情查看 https://www.jianshu.com/p/249f2cd42692

  4. Kubernetes 1.15部署日记-使用kubeadm--<7-8>

    7. 在k8s集群中run一个应用 nginx已经跑起来了到此kubernetes集群部署结束了. 8. 总结 此次部署kubernetes的起因是AI团队中的kubernetes项目跑在其他IP段网 ...

  5. 【DRF框架】认证组件

    DRF框架的认证组件 核心代码:       self.perform_authentication(request)  框架自带模块:    from rest_framework import a ...

  6. Photozoom图像放大的技术一二事

    平行空间下,未知的可能不仅仅是这个世界,还可能是前所未有的未知的探索.那么对于微小型世界来说,我们就需要借助技术的支撑来发现.photozoom就好比是“电子的放大镜”,对我们清晰图像的放大起到了重要 ...

  7. ubuntu---画图工具(类似win中的画图软件)

    参考 https://zhidao.baidu.com/question/622412096845238452.html https://jingyan.baidu.com/article/6525d ...

  8. Spring -07 -AOP [面向切面编程] - 使用注解@+ AspectJ 方式实现环绕/前/后等通知 -超简洁 --静态代理/动态代理{JDK/cglib}

    1.spring 不会自动去寻找注解,必须告诉 spring 哪些包下的类中可能有注解;使用注解来取代配置文件.1.1 引入xmlns:context ,指定扫描范围 <context:comp ...

  9. 工作中 99% 能用到的 Git 命令

    分支操作 暂存操作 回退操作 标签操作 常规操作 git创建项目仓库 忽略已加入到版本库中的文件 取消忽略文件 拉取.上传免密码. 分支操作 git branch 创建分支 git branch -b ...

  10. machine learning (3)---Linear Algebra Review

    Matrix Vector Multiplication 左边的矩阵向量相乘法比右边的更简洁而且计算高效 Matrix Matrix Multiplication 可以同时计算12个结果(4个房子面积 ...