Apache Spark提交错误

Question

I am new to Apache Spark and testing my first program.
It is a 2-3 lines program just for testing purposes.

I am using Eclipse and compiled the java file with Maven.
I am trying to run the spark-submit but getting this error.

I do not think it is from the file name or the path.
Could it be from another issue?

...spark-2.1.0-bin-hadoop2.7\\bin>spark-submit --class "Main" --master local[4] "C:\\Users\\...\\target\\SparkTest-0.0.1-SNAPSHOT.jar"

The filename, directory name, or volume label syntax is incorrect.

This is the main class

import java.util.Arrays;

import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaRDD;

import org.apache.spark.SparkConf;
import org.apache.spark.SparkContext;

import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.FlatMapFunction;
import org.apache.spark.api.java.function.PairFunction;



public class SparkMain {

    public static void main(String[] args) {

        SparkConf conf = new SparkConf().setMaster("local").setAppName("My App");
        JavaSparkContext sc = new JavaSparkContext(conf);
        System.out.println("HELLO");


        JavaRDD<String> lines = sc.textFile("C:/spark/spark-2.1.0-bin-hadoop2.7/README.md");

        System.out.println(lines.count());


    }

}

Answer 1

You are passing a String to a Java program and on a Windows machine.

Windows uses backslashes and need to be escaped.

I'm on a Mac, so this is hard to test, but you could try something like this.

import java.nio.file.Paths;

...

String fileName = Paths.get("C:", "spark", "spark-2.1.0-bin-hadoop2.7", "README.md").toString()
JavaRDD<String> rdd = sc.textFile(fileName);
System.out.println(rdd.count());

If you want to be cross-platform, then perhaps this

String rootDir = Paths.get(System.getProperty("user.home")).getRoot().toString();
String fileName = Paths.get(rootDir, "spark", ...);
...

Refer: Java Essentials | Path Operations