8.6 KiB
8.6 KiB
Piflow组件开发说明书
样例
请下载样例工程,并参考ShowData组件进行开发,依赖包piflow-configure.jar在lib目录下
https://github.com/cas-bigdatalab/piflowExternal
1.1环境要求
1.开发工具Intellij IDEA
2.语言要求jdk 1.8,scala 2.11.8
3.集群环境部署Hadoop2.7.0,Spark2.1.0(可根据实际情况部署进行修改)
1.2 独立开发步骤
1.2.1 新建Maven工程
- 导入piflow-configure.jar包
- 修改pom.xml文件如下
<?xml version="1.0" encoding="UTF-8"?>
<project xmlns="http://maven.apache.org/POM/4.0.0"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>piflow</groupId>
<artifactId>piflow-external</artifactId>
<version>1.0-SNAPSHOT</version>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<jetty.version>9.0.0.M0</jetty.version>
<spark.version>2.2.0</spark.version>
<scala.version>2.11.8</scala.version>
<java.version>1.8</java.version>
</properties>
<dependencies>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-library</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-reflect</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>org.scala-lang</groupId>
<artifactId>scala-compiler</artifactId>
<version>${scala.version}</version>
</dependency>
<dependency>
<groupId>junit</groupId>
<artifactId>junit</artifactId>
<version>4.11</version>
<scope>test</scope>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-core_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-sql_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-hive_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-yarn_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-kafka-0-10_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-streaming-flume_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.mongodb.spark</groupId>
<artifactId>mongo-spark-connector_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.spark</groupId>
<artifactId>spark-mllib_2.11</artifactId>
<version>${spark.version}</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka-clients</artifactId>
<version>2.1.1</version>
</dependency>
<dependency>
<groupId>org.apache.kafka</groupId>
<artifactId>kafka_2.11</artifactId>
<version>2.1.1</version>
</dependency>
<dependency>
<groupId>com.h2database</groupId>
<artifactId>h2</artifactId>
<version>1.4.197</version>
</dependency>
<dependency>
<groupId>org.apache.httpcomponents</groupId>
<artifactId>httpcore</artifactId>
<version>4.4</version>
</dependency>
</dependencies>
<build>
<plugins>
<plugin>
<groupId>net.alchim31.maven</groupId>
<artifactId>scala-maven-plugin</artifactId>
<version>3.2.2</version>
<executions>
<execution>
<id>Scaladoc</id>
<goals>
<goal>doc</goal>
</goals>
<phase>prepare-package</phase>
<configuration>
<args>
<arg>-no-link-warnings</arg>
</args>
</configuration>
</execution>
<execution>
<id>compile</id>
<goals>
<goal>compile</goal>
<goal>testCompile</goal>
</goals>
<configuration>
<args>
<arg>-dependencyfile</arg>
<arg>${project.build.directory}/.scala_dependencies</arg>
</args>
</configuration>
<phase>compile</phase>
</execution>
<execution>
<phase>process-resources</phase>
<goals>
<goal>compile</goal>
</goals>
</execution>
</executions>
</plugin>
</plugins>
</build>
</project>
1.2.2 开发Stop
1.新建package cn.piflow.bundle
2.新建Stop extends ConfigurableStop,并实现对应方法
build jar 包
首先选择File->Project Structure
然后点击Artifacts,添加“+”添加空白的jar
点击“+”,下拉框选择Module Output
在弹出框中选择module
修改jar的名称
点击Build->Build Artifacts,build jar包
最终build jar包在工程的out/artifacts/目录下
发布jar包
- V0.7中:将生成的jar放置PiflowServer中的classpath下,并重启PiFlowServer服务。同时在web界面中ReloadStop
- V0.8版本中:StopHub列表中点击上传按钮进行上传,上传成功之后进行Mount操作。成功后在流水线配置页面即可显示该jar中对应的数据处理组件
1.3 PiFlowServer中的开发步骤
在PiFlow-bundle模块中新建类,继承ConfigurableStop并实现对应接口,具体参考样例小节。完成后build jar包并替换piflow-server.jar,重启服务即可。