Spark 2.2.0 Accumulator Use method Java version of Python version __python

Java version

Package cn.spark.study.core;

Import Org.apache.spark.Accumulator;
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.VoidFunction;

Import java.util.*;
public class Accumulatorvairable {public
	static void Main (string[] args) {
		sparkconf conf =new sparkconf (). Setap PName ("persist"). Setmaster ("local");
		Javasparkcontext SC =new javasparkcontext (conf);
		Final accumulator<integer> accumulator = sc.accumulator (0);
		List<integer> numberlist =arrays.aslist (1,2,3,4,5);
		javardd<integer> num =sc.parallelize (numberlist);
		Num.foreach (New voidfunction<integer> () {
			
			@Override public
			void Call (Integer arg0) throws Exception { C16/>accumulator.add (arg0);
				
			}
		);
		System.out.println (Accumulator.value ());
		Sc.close ();
	}

Python version

Import OS
import sys
os.environ[' spark_home ' = '/opt/spark '
sys.path.append ("/opt/spark/python")

From Pyspark import sparkcontext from
pyspark import sparkconf


if __name__ = ' __main__ ':
    sc = Sparkcontext (" Local ", reduce")
    sumact = sc.accumulator (0)
    list = [1, 2, 3, 4, 5]
    Listrdd = sc.parallelize (list)
    def f ( num):
        global sumact
        sumact +=num

    Listrdd.foreach (f)
    print Sumact