Spring Cloud Data Flow Server for Apache Mesos 适用于mesos平台的springcloud数据流服务器(DCOS构建)

时间 2019-11-15

标签 spring cloud data flow server apache mesos 适用于平台 springcloud 数据流服务器 dcos 构建栏目 Spring 繁體版

原文原文链接

Spring Cloud Data Flow--大数据操做工具，做为Spring XD的替代产品，它是一个混合计算模型，结合了流数据与批量数据的处理方式。为数据微服务提供了业务流程，包括长期的 Spring Cloud Stream 应用程序和短时间的 Spring Cloud Task 应用程序。html

以前不多写博客，主要是国内相关资料少之又少，踩了不少坑，谷歌也没多大帮助，深知那种无助的感受，因此记录一下，与喜欢研究技术的朋友分享一下，但愿此文会有小小的帮助，微服务的明天会更好java

1.经过vagrant安装DCOS，咱们会获得一个Marathon端点url：http://m1.dcos/service/marathon，留做配置用，若是是其它好比CLI、GUI的安装方式，也可配置其服务的ip地址。service安装这里不作过多介绍，能够经过dcos的universe安装，也能够经过json文件安装mysql

2.安装mysql能够经过DCOS进行安装，若是你有一个mysql数据库亦可没必要安装linux

curl -X POST http://m1.dcos/service/marathon/v2/apps -d @mysql.json -H "Content-type: application/json"

3.安装rabbitmq，若是你有一个rabbitmq服务器亦可没必要安装，此处注意，对于springboot应用，应当在应用配置文件中配置mq的用户名密码，如：git

curl -X POST http://m1.dcos/service/marathon/v2/apps -d @rabbitmq.json -H "Content-type: application/json"

4.安装redis，若是你有一个redis服务器亦可没必要安装github

curl -X POST http://m1.dcos/service/marathon/v2/apps -d @redis.json -H "Content-type: application/json"

5.安装chronos，若是你有一个chronos服务器亦可没必要安装，速度慢说明拉取镜像慢，此处共享下百度云连接:http://pan.baidu.com/s/1dFaQvSX 密码:3j9c，下载到agent节点直接docker load < chronos.tar，docker images查看便可，从新执行，速度杠杠滴。web

dcos package install chronos

6.获取springclouddataflow的json配置文件redis

$ wget https://raw.githubusercontent.com/spring-cloud/spring-cloud-dataflow-server-mesos/v1.0.0.RELEASE/src/etc/marathon/scdf-server.json

7.直接贴上个人配置文件spring

{sql

"id": "/spring-cloud-data-flow",

"instances": 1,

"cpus": 2,

"mem": 4000,

"disk": 3000,

"gpus": 0,

"backoffSeconds": 1,

"backoffFactor": 1.15,

"maxLaunchDelaySeconds": 3600,

"container": {

"type": "DOCKER",

"docker": {

"image": "springcloud/spring-cloud-dataflow-server-mesos:latest",

"network": "BRIDGE",

"portMappings": [

{

"containerPort": 9393,

"hostPort": 0,

"servicePort": 10000,

"protocol": "tcp",

"name": "default"

}

"privileged": false,

"forcePullImage": false

}

"healthChecks": [

{

"gracePeriodSeconds": 120,

"intervalSeconds": 60,

"timeoutSeconds": 20,

"maxConsecutiveFailures": 0,

"portIndex": 0,

"path": "/management/health",

"protocol": "HTTP",

"ignoreHttp1xx": false

}

"upgradeStrategy": {

"minimumHealthCapacity": 1,

"maximumOverCapacity": 1

"unreachableStrategy": {

"inactiveAfterSeconds": 300,

"expungeAfterSeconds": 600

"killSelection": "YOUNGEST_FIRST",

"requirePorts": true,

"env": {

"JDBC_DRIVER": "org.mariadb.jdbc.Driver",

"MESOS_CHRONOS_URI": "http://172.16.1.77:10105",

"REDIS_HOST": "172.16.1.61",

"RABBITMQ_PORT": "6392",

"MESOS_MARATHON_URI": "http://m1.dcos/service/marathon",

"REDIS_PORT": "6379",

"JDBC_PASSWORD": "1234321",

"JDBC_URL": "jdbc:mysql://172.16.1.145:3306/test",

"SPRING_APPLICATION_JSON": "{\"spring.cloud.deployer.mesos.marathon.apiEndpoint\":\"${MESOS_MARATHON_URI}\",\"spring.cloud.deployer.mesos.chronos.apiEndpoint\":\"${MESOS_CHRONOS_URI}\",\"spring.datasource.url\":\"${JDBC_URL}\",\"spring.datasource.driverClassName\":\"${JDBC_DRIVER}\",\"spring.datasource.username\":\"${JDBC_USERNAME}\",\"spring.datasource.password\":\"${JDBC_PASSWORD}\",\"spring.datasource.testOnBorrow\":true,\"spring.datasource.validationQuery\":\"SELECT 1\",\"spring.redis.host\":\"${REDIS_HOST}\",\"spring.redis.port\":\"${REDIS_PORT}\",\"spring.cloud.deployer.mesos.marathon.environmentVariables\":\"SPRING_RABBITMQ_HOST=${RABBITMQ_HOST},SPRING_RABBITMQ_PORT=${RABBITMQ_PORT}\",\"spring.cloud.deployer.mesos.dcos.authorizationToken\":\"${DCOS_TOKEN}\",\"spring.cloud.config.enabled\":false,\"spring.freemarker.checkTemplateLocation\":false,\"spring.cloud.deployer.mesos.marathon.memory\":\"3000\",\"spring.dataflow.embedded.database.enabled\":false}",

"RABBITMQ_HOST": "172.16.1.77",

"JDBC_USERNAME": "root"

}

这里对几点作说明：(1)"image": "springcloud/spring-cloud-dataflow-server-mesos:latest"，对应的agent节点docker中的镜像，直接运行的话，首先它会下载镜像，因为你懂得，速度慢成翔，你可

以docker去pull喝着大茶慢慢等，若是你别处有此镜像也可导入到你的agent节点的docker中。此处共享下导出的镜像百度云地址连接:http://pan.baidu.com/s/1hstbj5E

密码:56nk，下载后直接docker load < springdataflow.tar，若是你有搭建docker的本地远程仓库，也可将镜像打个tag推送到仓库，agent的docker直接从仓库中pull。

(2)配置marathon还有chronos地址，也能够配置ip地址，浏览器能正常访问便可

"MESOS_MARATHON_URI": "http://m1.dcos/service/marathon",
"MESOS_CHRONOS_URI": "http://m1.dcos/service/chronos",

ip能够经过service的detail中查看，logs能够看到其运行日志

(3)配置mysql

"JDBC_URL": "jdbc:mysql://",
"JDBC_DRIVER": "org.mariadb.jdbc.Driver",
"JDBC_USERNAME": "",
"JDBC_PASSWORD": "",

(4)配置mq

"RABBITMQ_HOST": "",
"RABBITMQ_PORT": "",

(5)配置redis

"REDIS_HOST": "",
"REDIS_PORT": "",

(6)若是DCOS是开启权限认证，则须要配置

DCOS_TOKEN

获取token方法以下：

curl https://downloads.dcos.io/binaries/cli/linux/x86-64/dcos-1.9/dcos -o dcos && 
sudo mv dcos /usr/local/bin && 
sudo chmod +x /usr/local/bin/dcos && 
dcos config set core.dcos_url http://XXXXXXXXX && 
dcos

安装dcos的cli，配置你的master地址，而后dcos auth login 出现一个地址，http://XXXXXX/login?redirect_uri=urn:ietf:wg:oauth:2.0:oob贴到浏览器获取一个token

而后复制到控制台，登陆成功。而后 dcos config show core.dcos_acs_token 出现的token能够copy到

DCOS_TOKEN

还能够配置maven地址，可参阅文档：http://docs.spring.io/spring-cloud-dataflow/docs/1.2.2.BUILD-SNAPSHOT/reference/htmlsingle/#arch-data-flow-server，可是注册app的时候，直接配置jar的地址或者maven地址，都会出现异常，看了下源码，在deploy的时候jar会生成一个临时镜像，而后经过fegin去请求marathon的api，可是请求一直会报异常null或者:reason不啦不啦的，因此我是把每个流的jar都经过docker打包镜像push到远程仓库，配置本地docker仓库地址去拉取镜像，还有须要注意的地方就是注册app的名称还有stream的名称的时候所有用小写，否则fegin请求的时候也会报异常。如有大神知道jar或者maven配置的正确方法，请分享与我，谢谢。

8.而后就能够经过json文件运行了，页面也是能够操做的

查看日志启动成功

9.访问springdataflow的web端http://XXXX:AAA/dashboard，亦可经过

spring-cloud-dataflow-shell

来注册app或者stream，此处再也不赘述。

10.注册app

11.建立数据流

注意：至少得有一个source一个sink，因为资源有限，processor暂时不加入（ps：跑应用真的很消耗资源）

12.应用数据流

而后就能够取services去查看，一个jar应该会启动一个实例

大功告成哈哈哈哈哈哈哈哈哈

下面附上部分代码

source：

application

import java.util.Date;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.stream.annotation.EnableBinding;
import org.springframework.cloud.stream.messaging.Source;
import org.springframework.context.annotation.Bean;
import org.springframework.integration.annotation.InboundChannelAdapter;
import org.springframework.integration.annotation.Poller;
import org.springframework.integration.core.MessageSource;
import org.springframework.messaging.support.MessageBuilder;
@EnableBinding(Source.class)
@SpringBootApplication
public class LoggingSourceApplication {
   @Bean
   @InboundChannelAdapter(
     value = Source.OUTPUT, 
     poller = @Poller(fixedDelay = "10000", maxMessagesPerPoll = "1")
   )
   public MessageSource<Long> timeMessageSource() {
      System.out.println(new Date() +"======================logging-source========================== execued");
       return () -> { 
          System.out.println(new Date() + "*****logging-source****** send");
          return MessageBuilder.withPayload(new Date().getTime()).build();
       };
   }

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

properties

spring.rabbitmq.host=172.16.3.183
spring.rabbitmq.username=admin
spring.rabbitmq.password=admin

# 本机启动测试须要如下配置
spring.cloud.stream.default.contentType=application/json
spring.cloud.stream.bindings.output.destination=source-log
# 默认状况下，Spring Cloud Stream 会在 RabbitMQ 中建立一个临时的队列，程序关闭，
# 对应的链接关闭的时候，该队列也会消失。为此，咱们须要一个持久化的队列，而且指定一个分组，用于保证应用服务的缩放。
# 只须要在消费者端的 binding 添加配置项 spring.cloud.stream.bindings.[channelName].group = logistic
# 对应的队列就是持久化
spring.cloud.stream.bindings.output.group=logTest
spring.cloud.stream.bindings.output.binder=rabbitMq1
spring.cloud.stream.binders.rabbitMq1.type=rabbit
spring.cloud.stream.default-binder=rabbitMq1
# rabbitMQ服务器地址
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.host=172.16.3.183
# rabbitMQ服务器端口
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.port=5672
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.username=admin
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.password=admin
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.virtual-host=/

pom

<parent>
   <groupId>org.springframework.boot</groupId>
   <artifactId>spring-boot-starter-parent</artifactId>
   <version>1.4.4.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>
</properties>

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

   <dependency>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-test</artifactId>
      <scope>test</scope>
   </dependency>
</dependencies>

<dependencyManagement>
   <dependencies>
      <dependency>
         <groupId>org.springframework.cloud</groupId>
         <artifactId>spring-cloud-dependencies</artifactId>
         <version>Camden.SR5</version>
         <type>pom</type>
         <scope>import</scope>
      </dependency>
   </dependencies>
</dependencyManagement>

<build>
   <plugins>
      <plugin>
         <groupId>org.springframework.boot</groupId>
         <artifactId>spring-boot-maven-plugin</artifactId>
      </plugin>
   </plugins>
</build>

sink：

application

import java.util.Date;
import java.util.Map;

import org.springframework.boot.SpringApplication;
import org.springframework.boot.autoconfigure.SpringBootApplication;
import org.springframework.cloud.stream.annotation.EnableBinding;
import org.springframework.cloud.stream.annotation.StreamListener;
import org.springframework.cloud.stream.messaging.Sink;
import org.springframework.integration.annotation.MessageEndpoint;
import org.springframework.integration.annotation.ServiceActivator;
import org.springframework.messaging.handler.annotation.Headers;
import org.springframework.messaging.handler.annotation.Payload;

@EnableBinding(Sink.class)
@SpringBootApplication
public class LoggingSinkApplication {

   @MessageEndpoint
   public static class LoggingMessageEndpoint {
      @ServiceActivator(inputChannel = Sink.INPUT)
      public void logIncomingMessages(@Payload String msg, @Headers Map<String, Object> headers) {
         System.out.println(new Date() + "***********logging-sink**************"+ msg);
         headers.entrySet().forEach(e -> System.out.println(e.getKey() + '=' + e.getValue()));
      }
   }
   @StreamListener(Sink.INPUT)
   public void loggerSink(String date) {
       System.out.println("logging-sink Received: " + date);
   }
   @Payload
   public static void main(String[] args) {
      SpringApplication.run(LoggingSinkApplication.class, args);
   }
}

properties

spring.rabbitmq.host=172.16.3.183
spring.rabbitmq.username=admin
spring.rabbitmq.password=admin

#本地测试须要配置
server.port=8090
spring.cloud.stream.default.contentType=application/json
spring.cloud.stream.bindings.input.destination=source-log
# 默认状况下，Spring Cloud Stream 会在 RabbitMQ 中建立一个临时的队列，程序关闭，
# 对应的链接关闭的时候，该队列也会消失。为此，咱们须要一个持久化的队列，而且指定一个分组，用于保证应用服务的缩放。
# 只须要在消费者端的 binding 添加配置项 spring.cloud.stream.bindings.[channelName].group = logistic
# 对应的队列就是持久化
spring.cloud.stream.bindings.input.group=logTest
spring.cloud.stream.bindings.input.binder=rabbitMq1
spring.cloud.stream.binders.rabbitMq1.type=rabbit
spring.cloud.stream.default-binder=rabbitMq1
# rabbitMQ服务器地址
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.host=172.16.3.183
# rabbitMQ服务器端口
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.port=5672
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.username=admin
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.password=admin
spring.cloud.stream.binders.rabbitMq1.environment.spring.rabbitmq.virtual-host=/

pom

<parent>
   <groupId>org.springframework.boot</groupId>
   <artifactId>spring-boot-starter-parent</artifactId>
   <version>1.4.4.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>
</properties>

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

   <dependency>
      <groupId>org.springframework.boot</groupId>
      <artifactId>spring-boot-starter-test</artifactId>
      <scope>test</scope>
   </dependency>
</dependencies>

<dependencyManagement>
   <dependencies>
      <dependency>
         <groupId>org.springframework.cloud</groupId>
         <artifactId>spring-cloud-dependencies</artifactId>
         <version>Camden.SR5</version>
         <type>pom</type>
         <scope>import</scope>
      </dependency>
   </dependencies>
</dependencyManagement>

<build>
   <plugins>
      <plugin>
         <groupId>org.springframework.boot</groupId>
         <artifactId>spring-boot-maven-plugin</artifactId>
      </plugin>
   </plugins>
</build>