SpringBoot 2 集成Spark 3

news2024/11/27 2:45:38

前提条件:

运行环境：Hadoop 3.* + Spark 3.* ,如果还未安装相关环境，请参考：

Spark 初始

CentOS 7 安装Hadoop 3 单机版

SpringBoot 2 集成Spark 3

pom.xml

<?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">
    <parent>
        <artifactId>SpringBootCase</artifactId>
        <groupId>org.example</groupId>
        <version>1.0-SNAPSHOT</version>
    </parent>
    <modelVersion>4.0.0</modelVersion>

    <artifactId>SpringBoot-Spark3</artifactId>

    <properties>
        <maven.compiler.source>8</maven.compiler.source>
        <maven.compiler.target>8</maven.compiler.target>
    </properties>

    <dependencies>
        <dependency>
            <groupId>org.apache.spark</groupId>
            <artifactId>spark-core_2.12</artifactId>
            <version>3.2.0</version>
            <exclusions>
                <exclusion>
                    <artifactId>netty-all</artifactId>
                    <groupId>io.netty</groupId>
                </exclusion>
            </exclusions>
        </dependency>
        <dependency>
            <groupId>io.netty</groupId>
            <artifactId>netty-all</artifactId>
            <version>4.1.58.Final</version>
        </dependency>

    </dependencies>
</project>

配置application.properties

无

核心代码

package cn.zzg.spark.test;

import org.apache.spark.SparkConf;
import org.apache.spark.api.java.JavaRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function;

public class SparkTest {
    public static void main(String[] args) {
        String logFile = "hdfs://192.168.43.11:9000/README.md";
        SparkConf conf = new SparkConf().setAppName("Spark 应用").setMaster("spark://192.168.43.11:7077");

        JavaSparkContext context = new JavaSparkContext(conf);
        JavaRDD<String> data = context.textFile(logFile).cache();
        long nums = data.filter(new Function<String, Boolean>() {
            @Override
            public Boolean call(String s) throws Exception {
                return s.contains("a");
            }
        }).count();
        System.out.println("包含字母a总数为:" + nums);

    }
}