Netfiex Conductor安装入门指南以及切换为mysql数据源
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通过git下载源码到本地 [email protected]:Netflix/conductor.git。
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由于Conductor依赖于gradle编译，我们可以通过两种方式安装gradle.
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通过命令gradlew server自动下载，有点慢不建议。
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下载安装包，解压并配置环境变量到\bin目录问题。
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如果你有数据源为mysql的需求可以按如下进行更改。
public interface Configuration { String DB_PROPERTY_NAME = "db"; //修改数据源类型为mysql String DB_DEFAULT_VALUE = "mysql"; } public interface MySQLConfiguration extends Configuration { String JDBC_URL_PROPERTY_NAME = "jdbc.url"; //这里修改数据源地址 String JDBC_URL_DEFAULT_VALUE = "jdbc:mysql://localhost:3306/conductor?useUnicode=true&characterEncoding=utf8&serverTimezone=GMT%2B8&useSSL=false"; //这里修改用户名 String JDBC_USER_NAME_PROPERTY_NAME = "jdbc.username"; String JDBC_USER_NAME_DEFAULT_VALUE = "root"; //这里修改密码 String JDBC_PASSWORD_PROPERTY_NAME = "jdbc.password"; String JDBC_PASSWORD_DEFAULT_VALUE = "11111111"; String FLYWAY_ENABLED_PROPERTY_NAME = "flyway.enabled"; boolean FLYWAY_ENABLED_DEFAULT_VALUE = true; String FLYWAY_TABLE_PROPERTY_NAME = "flyway.table"; OptionalFLYWAY_TABLE_DEFAULT_VALUE = Optional.empty(); // The defaults are currently in line with the HikariConfig defaults, which are unfortunately private. //这里修改max,min两个连接数 String CONNECTION_POOL_MAX_SIZE_PROPERTY_NAME = "conductor.mysql.connection.pool.size.max"; int CONNECTION_POOL_MAX_SIZE_DEFAULT_VALUE = 10; String CONNECTION_POOL_MINIMUM_IDLE_PROPERTY_NAME = "conductor.mysql.connection.pool.idle.min"; int CONNECTION_POOL_MINIMUM_IDLE_DEFAULT_VALUE = 3; }
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修改数据源文件完成,cd 进入conductor下载的源码目录，执行gradlew build -x test跳过测试构建项目，默认生产的包会生成在（/conductor/server/build/libs）。
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不带参数启动项目命令：java -jar conductor-server-2.6.0-SNAPSHOT.jar。
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访问localhost:8080查看页面。
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生成Ui页面，ui依赖于nodejs,以及gulp的插件。
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下载安装nodejs安装包，要求高于8以上版本。
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全局安装gulp 命令：$ npm install --global gulp
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cd 进入项目conductor/ui 命令：$ npm install --save-dev gulp生成项目依赖的gulp。
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执行命令：gulp watch等待构建成功，然后访问localhost:3000页面查看Conductor的管理界面。
[外链图片转存失败(img-GzHJTrpf-1564998901562)(https://i.imgur.com/3Zeglyt.png)] -
修改数据源为mysql
开始编写第一个task，定义好两个task。
[
{
"name": "mytask1",
"retryCount": 3,
"timeoutSeconds": 1200,
"inputKeys": [
"ai1",
"ai2"
],
"outputKeys": [
"ao1",
"ao2"
],
"timeoutPolicy": "TIME_OUT_WF",
"retryLogic": "FIXED",
"retryDelaySeconds": 600,
"responseTimeoutSeconds": 3600
},
{
"name": "mytask2",
"retryCount": 3,
"timeoutSeconds": 1200,
"inputKeys": [
"bi1",
"bi2"
],
"outputKeys": [
"bo1",
"bo2"
],
"timeoutPolicy": "TIME_OUT_WF",
"retryLogic": "FIXED",
"retryDelaySeconds": 600,
"responseTimeoutSeconds": 3600
}
]
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开始编写第一个流程文件
[
{
"name": "myworkflow1",
"description": "my workflow for test",
"version": 1,
"tasks": [
{
"name": "mytask1",
"taskReferenceName": "node1",
"type": "SIMPLE",
"inputParameters": {
"ai1": "${workflow.input.wi1}",
"ai2": "${workflow.input.wi2}"
}
},
{
"name": "mytask2",
"taskReferenceName": "node2",
"type": "SIMPLE",
"inputParameters": {
"bi1": "${node1.output.ao1}",
"bi2": "${node1.output.ao2}"
}
}
],
"outputParameters": {
"ao1": "${node1.output.ao1}",
"ao2": "${node1.output.ao2}",
"bo1": "${node2.output.bo1}",
"bo2": "${node2.output.bo2}"
},
"schemaVersion": 2
}
]
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编写worker代码来真正执行任务
package com.zd.demo;
import com.netflix.conductor.client.http.TaskClient;
import com.netflix.conductor.client.task.WorkflowTaskCoordinator;
import com.netflix.conductor.client.worker.Worker;
import org.springframework.boot.autoconfigure.SpringBootApplication;
@SpringBootApplication
public class DemoApplication {
public static void main(String[] args) {
TaskClient taskClient = new TaskClient();
taskClient.setRootURI("http://localhost:8080/api/"); //Point this to the server API
int threadCount = 2; //number of threads used to execute workers. To avoid starvation, should be same or more than number of workers
Worker worker1 = new SampleWorker("mytask1");
Worker worker2 = new SampleWorker2("mytask2");
//Create WorkflowTaskCoordinator
WorkflowTaskCoordinator.Builder builder = new WorkflowTaskCoordinator.Builder();
WorkflowTaskCoordinator coordinator = builder.withWorkers(worker1, worker2).withThreadCount(threadCount).withTaskClient(taskClient).build();
coordinator.init();
}
class SampleWorker implements Worker {
private String taskDefName;
public SampleWorker(String taskDefName) {
this.taskDefName = taskDefName;
}
@Override
public String getTaskDefName() {
return taskDefName;
}
@Override
public TaskResult execute(Task task) {
System.out.printf("Executing %s\n", taskDefName);
System.out.println("ai1:" + task.getInputData().get("ai1"));
System.out.println("ai2:" + task.getInputData().get("ai2"));
TaskResult result = new TaskResult(task);
result.setStatus(TaskResult.Status.COMPLETED);
//Register the output of the task
result.getOutputData().put("ao1", String.valueOf(task.getInputData().get("ai1")) + " from ai1");
result.getOutputData().put("ao2", String.valueOf(task.getInputData().get("ai2")) + " from ai2");
return result;
}
class SampleWorker2 implements Worker {
private String taskDefName;
public SampleWorker2(String taskDefName) {
this.taskDefName = taskDefName;
}
@Override
public String getTaskDefName() {
return taskDefName;
}
@Override
public TaskResult execute(Task task) {
System.out.printf("Executing %s\n", taskDefName);
System.out.println("bi1:" + task.getInputData().get("bi1"));
System.out.println("bi2:" + task.getInputData().get("bi2"));
TaskResult result = new TaskResult(task);
result.setStatus(TaskResult.Status.COMPLETED);
//Register the output of the task
result.getOutputData().put("bo1", String.valueOf(task.getInputData().get("bi1")) + " from bi1");
result.getOutputData().put("bo2", String.valueOf(task.getInputData().get("bi2")) + " from bi2");
return result;
}
}
运行main函数
打开Swagger页面，填上参数({“wi1”: “param1”,“wi2”: “param2”})，Try it out!
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