Zipkin 是一個分布式資料追蹤系統，适用于微服務架構下的調用鍊路資料采集及分析工作。
可通過一個 Web 前端輕松的收集和分析資料，例如使用者每次請求服務的處理時間等，可友善的監測系統中存在的瓶頸。
一、配置 Java 環境 安裝 JDK
Zipkin 使用 Java8
yum install java-1.8.0-openjdk* -y
java -version 二、安裝 Zipkin
1、建立zipkin安裝目錄
mkdir -p /opt/server/zipkin && cd "$_"
2、下載下傳 Zipkin
wget -O zipkin.jar 'https://search.maven.org/remote_content?g=io.zipkin.java&a=zipkin-server&v=LATEST&c=exec'
3、啟動 Zipkin （nohup & 可以進行背景運作 ）
java -jar zipkin.jar Zipkin 預設監聽 9411 端口
三、配置 MySQL 資料持久化
1、Zipkin 支援的持久化方案很多： Cassandra, MySQL, Elasticsearch。
wget http://dev.mysql.com/get/mysql57-community-release-el7-9.noarch.rpm
rpm -Uvh mysql57-community-release-el7-9.noarch.rpm
yum install mysql-community-server -y
systemctl start mysqld.service
設定 mysql 密碼 建立一個zipkin 庫；
mysql -uroot -p
> ALTER USER 'root'@'localhost' IDENTIFIED BY 'passwd';
> create database zipkin;
exit 2、建立 Zipkin初始化檔案 zipkin_init.sql
建立了 zipkin_annotations, zipkin_dependencies, zipkin_spans 三張資料表
# cat /opt/server/zipkin/zipkin_init.sql
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 );
3、初始化導入：
mysql -u root --password='passwd'
> use zipkin;
> source /opt/server/zipkin/zipkin_init.sql
> show tables;
> exit 四、重新啟動 zipkin
cd /opt/server/zipkin
STORAGE_TYPE=mysql MYSQL_HOST=localhost MYSQL_TCP_PORT=3306 MYSQL_DB=zipkin MYSQL_USER=root MYSQL_PASS='passwd' \
nohup java -jar zipkin.jar & 五、建立一個dome 示例
1、搭建 NodeJS 環境
curl --silent --location https://rpm.nodesource.com/setup_8.x | sudo bash -
yum install nodejs -y 2、建立 /opt/server/service_testing 工作目錄
mkdir -p /opt/server/service_testing 3、在 /opt/server/service_testing 目錄下建立并編輯 package.json
# cat /opt/server/service_testing/package.json
{
"name": "service_testing",
"version": "1.0.0",
"description": "",
"main": "index.js",
"scripts": {},
"author": "",
"license": "ISC",
"dependencies": {
"express": "^4.15.3",
"zipkin": "^0.7.2",
"zipkin-instrumentation-express": "^0.7.2",
"zipkin-transport-http": "^0.7.2"
}
} 4、安裝相關依賴
# npm install 5、建立并編輯 app.js
# cat /opt/server/service_testing/app.js
const express = require('express');
const {Tracer, ExplicitContext, BatchRecorder} = require('zipkin');
const {HttpLogger} = require('zipkin-transport-http');
const zipkinMiddleware = require('zipkin-instrumentation-express').expressMiddleware;
const ctxImpl = new ExplicitContext();
const recorder = new BatchRecorder({
logger: new HttpLogger( {
endpoint: 'http://127.0.0.1:9411/api/v1/spans'
})
});
const tracer = new Tracer({ctxImpl, recorder});
const app = express();
app.use(zipkinMiddleware({
tracer,
serviceName: 'service-testing'
}));
app.use('/', (req, res, next) => {
res.send('hello one');
});
app.listen(3000, () => {
console.log('service-testing listening on port 3000!')
});
6、啟動服務 （監聽 3000 端口）http://IP:3000
# node app.js 六、zipkin 通路 http://IP:9411
原文位址：https://www.cnblogs.com/sharesdk/p/9267736.html