【Alink-KMeans】基于Alink算法平台的聚类【Java实现】

一、介绍

Alink是基于Flink的通用算法平台。

1.1 数据聚类介绍

1.可以定义为5组数据类型的特征字段名称：

sepal_length double, sepal_width double, petal_length double, petal_width double,

2.控制特征字段为petal_width
3.聚合类型为category
3.主要特征控制为：

sepal_length double, sepal_width double, petal_length double, petal_width double

二、Java API

2.1 Alink-KMeans.java

public class AlinkDemo {
    public static void main(String[] args) throws Exception {
        String URL = "https://alink-release.oss-cn-beijing.aliyuncs.com/data-files/iris.csv";
        String SCHEMA_STR = "sepal_length double, sepal_width double, petal_length double, petal_width double, category string";

        BatchOperator data = new CsvSourceBatchOp()
                .setFilePath(URL)
                .setSchemaStr(SCHEMA_STR);

        VectorAssembler va = new VectorAssembler()
                .setSelectedCols(new String[]{"sepal_length", "sepal_width", "petal_length", "petal_width"})
                .setOutputCol("features");

        KMeans kMeans = new KMeans().setVectorCol("features").setK(3)
                .setPredictionCol("prediction_result")
                .setPredictionDetailCol("prediction_detail")
                .setReservedCols("category")
                .setMaxIter(100);

        Pipeline pipeline = new Pipeline().add(va).add(kMeans);
        pipeline.fit(data).transform(data).print();
    }
}

2.2 pom

<dependency>
    <groupId>com.alibaba.alink</groupId>
    <artifactId>alink_core_flink-1.9_2.11</artifactId>
    <version>1.2.0</version>
</dependency>
<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-streaming-scala_2.11</artifactId>
    <version>1.9.0</version>
</dependency>
<dependency>
    <groupId>org.apache.flink</groupId>
    <artifactId>flink-table-planner_2.11</artifactId>
    <version>1.9.0</version>
</dependency>

2.3 打包插件

<build>
        <plugins>
            <!-- 编译插件 -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-compiler-plugin</artifactId>
                <version>3.6.0</version>
                <configuration>
                    <source>1.8</source>
                    <target>1.8</target>
                    <encoding>UTF-8</encoding>
                </configuration>
            </plugin>
            <!-- scala编译插件 -->
            <plugin>
                <groupId>net.alchim31.maven</groupId>
                <artifactId>scala-maven-plugin</artifactId>
                <version>3.1.6</version>
                <configuration>
                    <scalaCompatVersion>2.11</scalaCompatVersion>
                    <scalaVersion>2.11.12</scalaVersion>
                    <encoding>UTF-8</encoding>
                </configuration>
                <executions>
                    <execution>
                        <id>compile-scala</id>
                        <phase>compile</phase>
                        <goals>
                            <goal>add-source</goal>
                            <goal>compile</goal>
                        </goals>
                    </execution>
                    <execution>
                        <id>test-compile-scala</id>
                        <phase>test-compile</phase>
                        <goals>
                            <goal>add-source</goal>
                            <goal>testCompile</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
            <!-- 打jar包插件(会包含所有依赖) -->
            <plugin>
                <groupId>org.apache.maven.plugins</groupId>
                <artifactId>maven-assembly-plugin</artifactId>
                <version>2.6</version>
                <configuration>
                    <descriptorRefs>
                        <descriptorRef>jar-with-dependencies</descriptorRef>
                    </descriptorRefs>
                    <archive>
                        <manifest>
                            <!-- 可以设置jar包的入口类(可选) -->
                            <mainClass>com.wang.flink.alink.AlinkDemo</mainClass>
                        </manifest>
                    </archive>
                </configuration>
                <executions>
                    <execution>
                        <id>make-assembly</id>
                        <phase>package</phase>
                        <goals>
                            <goal>single</goal>
                        </goals>
                    </execution>
                </executions>
            </plugin>
        </plugins>
    </build>

三、 本地执行聚类结果

四、上传Flink集群

4.1 执行 打包 mvn -package

4.2 上传至Linux

sftp> put D:/APP/IDEA/workplace/FlinkTurbineFaultDiagnosis/target/Flink-TurbineFaultDiagnosis-1.0-SNAPSHOT-jar-with-dependencies.jar

4.3 运行FLink执行

bin/flink run -p 1 -c com.wang.flink.alink.AlinkDemo /root/Flink-TurbineFaultDiagnosis-1.0-SNAPSHOT-jar-with-dependencies.jar

4.4 Flink集群概览

访问集群节点：​​http://202.206.212.189:8081/​​