Spark入门（十二）之最值

清疚 2023-02-24 08:26 54阅读 0赞

###  一、最值 ###

计算文本里面的最值（最大值、最小值、平均值），输出结果。

**二、maven设置**

<?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>com.mk</groupId>
      <artifactId>spark-test</artifactId>
      <version>1.0</version>
     
      <name>spark-test</name>
      <url>http://spark.mk.com</url>
     
      <properties>
        <project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
        <maven.compiler.source>1.8</maven.compiler.source>
        <maven.compiler.target>1.8</maven.compiler.target>
        <scala.version>2.11.1</scala.version>
        <spark.version>2.4.4</spark.version>
        <hadoop.version>2.6.0</hadoop.version>
      </properties>
     
      <dependencies>
        
        <dependency>
          <groupId>org.scala-lang</groupId>
          <artifactId>scala-library</artifactId>
          <version>${scala.version}</version>
        </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>junit</groupId>
          <artifactId>junit</artifactId>
          <version>4.11</version>
          <scope>test</scope>
        </dependency>
      </dependencies>
     
      <build>
        <pluginManagement>
          <plugins>
     
            <plugin>
              <artifactId>maven-clean-plugin</artifactId>
              <version>3.1.0</version>
            </plugin>
     
            <plugin>
              <artifactId>maven-resources-plugin</artifactId>
              <version>3.0.2</version>
            </plugin>
            <plugin>
              <artifactId>maven-compiler-plugin</artifactId>
              <version>3.8.0</version>
            </plugin>
            <plugin>
              <artifactId>maven-surefire-plugin</artifactId>
              <version>2.22.1</version>
            </plugin>
            <plugin>
              <artifactId>maven-jar-plugin</artifactId>
              <version>3.0.2</version>
            </plugin>
          </plugins>
        </pluginManagement>
      </build>
    </project>

### 三、编程代码  ###

public class MaxApp implements SparkConfInfo{
    
        public static class IntegerComp implements Comparator<Integer>, Serializable{
            @Override
            public int compare(Integer o1, Integer o2) {
                return o1.compareTo(o2);
            }
        }
        public static void main(String[]args){
    
            String filePath = "E:\\spark\\number.txt";
            SparkSession sparkSession = new MaxApp().getSparkConf("MaxApp");
            JavaRDD<Integer> numbers = sparkSession.sparkContext()
                    .textFile(filePath, 4)
                    .toJavaRDD()
                    .flatMap(v -> Arrays.asList(v.split("\n")).iterator())
                    .map(Integer::new).cache();
            Integer max = numbers.max(new IntegerComp());
            Integer min = numbers.min(new IntegerComp());
            Integer sum = numbers.reduce(Integer::sum);
            long count = numbers.count();
            System.out.println("max:" + max);
            System.out.println("min:" + min);
            System.out.println("sum:" + sum);
            System.out.println("count:" + count);
            System.out.println("avg:" + sum * 1.0 / count);
            sparkSession.stop();
        }
    }
    
    public interface SparkConfInfo {
    
        default SparkSession getSparkConf(String appName){
            SparkConf sparkConf = new SparkConf();
            if(System.getProperty("os.name").toLowerCase().contains("win")) {
                sparkConf.setMaster("local[4]");
                System.out.println("使用本地模拟是spark");
            }else
            {
                sparkConf.setMaster("spark://hadoop01:7077,hadoop02:7077,hadoop03:7077");
                sparkConf.set("spark.driver.host","192.168.150.1");//本地ip，必须与spark集群能够相互访问，如：同一个局域网
                sparkConf.setJars(new String[] {".\\out\\artifacts\\spark_test\\spark-test.jar"});//项目构建生成的路径
            }
    
            SparkSession session = SparkSession.builder().appName(appName).config(sparkConf).config(sparkConf).getOrCreate();
            return session;
        }
    }

number.txt文件内容

100
    24
    43
    774
    43
    37
    78
    42
    68
    89
    49
    543
    36
    888
    258
    538
    79
    6
    67
    99

输出

max:888
    min:6
    sum:3861
    count:20
    avg:193.05

遇到的问题

使用函数接口报错

Integer max = numbers.max(Integer::compareTo);

org.apache.spark.SparkException: Task not serializable
    
    Caused by: java.io.NotSerializableException: com.mk.MaxApp$$Lambda$11/501991708
    Serialization stack:
        - object not serializable (class: com.mk.MaxApp$$Lambda$11/501991708, value: com.mk.MaxApp$$Lambda$11/501991708@7fd26ad8)
        - field (class: scala.math.LowPriorityOrderingImplicits$$anon$7, name: cmp$2, type: interface java.util.Comparator)
        - object (class scala.math.LowPriorityOrderingImplicits$$anon$7, scala.math.LowPriorityOrderingImplicits$$anon$7@63b3ee82)
        - field (class: org.apache.spark.rdd.RDD$$anonfun$max$1, name: ord$10, type: interface scala.math.Ordering)
        - object (class org.apache.spark.rdd.RDD$$anonfun$max$1, <function0>)
        - field (class: org.apache.spark.rdd.RDD$$anonfun$max$1$$anonfun$apply$50, name: $outer, type: class org.apache.spark.rdd.RDD$$anonfun$max$1)
        - object (class org.apache.spark.rdd.RDD$$anonfun$max$1$$anonfun$apply$50, <function2>)

原因是函数接口对象实现没有序列化接口，需要实现序列化接口Serializable

Integer max = numbers.max(new IntegerComp());
    
    
     public static class IntegerComp implements Comparator<Integer>, Serializable{
            @Override
            public int compare(Integer o1, Integer o2) {
                return o1.compareTo(o2);
            }
        }