SpringCloud:Zipkin链路追踪,并将数据写入mysql
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
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- 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 ...
- 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 . ...
- 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, ...
- 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 ...
- 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
- Bad state: Stream has already been listened to.
https://stackoverflow.com/questions/51396769/flutter-bad-state-stream-has-already-been-listened-to T ...
- Web 标准构成
Web标准不是某一个标准,而是由W3C和其他标准化组织制定的一系列标准的集合.主要包括结构(Structure).表现(Presentation)和行为(Behavior)三个方面. 结构标准:结构用 ...
- Hybris做增强的两种方式:In App Extension和Side by Side Extension
传统的扩展方式,即In-App增强方式,Hybris开发顾问通过Extensions的方式进行二次开发,生成的Custom Extensions同Hybris标准的Extensions一起参加构建,构 ...
- Python JSON的简单使用
1 json简介 1.1 json是什么? JSON(JavaScript Object Notation)是一种轻量级的数据交换格式. “在JSON出现之前,大家一 ...
- 【hadoop】看懂WordCount例子
前言:今天刚开始看到map和reduce类里面的内容时,说实话一片迷茫,who are you?,最后实在没办法,上B站看别人的解说视频,再加上自己去网上查java的包的解释,终于把WordCount ...
- 【hbase】hbase理论学习
HBase用途: 基于Hadoop Distributed File System,是一个开源的,基于列存储模型的分布式数据库. HBase简介: HBase是一个分布式的.多版本的.面向列的开源数据 ...
- 学习python的日常3
python的一些高级特性: 切片(跟名字一样,把一个完整的东西选取一部分自己想要的去切下来):通过切片可以快速的去除一些元素,只要确定好索引位置,避免的循环导致的多写代码 数组,元组,字符串都可以用 ...
- Lock wait timeout分析
ERROR 1205 (HY000): Lock wait timeout exceeded; try restarting transaction分析 1.4个用户连接数据库(A和D是本地回环登陆, ...
- sqlite3入门之sqlite3_open,sqlite3_exec,slite3_close
sqlite3_open sqlite3_open函数原型: int sqlite3_open( const char *filename, /* Database filename (UTF-8) ...
- Jmeter 中正则表达式提取器Regular Expression Extractor
正则表达式提取器点击后置处理器中Post Processors 中的正则表达式提取器 Regular Expression Extractor Appy to: 表示作用于哪一个请求Main samp ...