spark idea 的配置问题

最新推荐文章于 2022-02-10 19:46:04 发布

转载最新推荐文章于 2022-02-10 19:46:04 发布 · 154 阅读

0 ·

CC 4.0 BY-SA版权

原文链接：http://www.cnblogs.com/wangyaning/p/7853911.html

文章标签：

#开发工具 #java #大数据

本文探讨了在使用Scala编写的Spark应用中遇到的环境配置问题及错误信息，特别是关于依赖项缺失或无效的问题，并提供了具体的错误日志及示例代码。

不知道下面的错误是为什么？

Error:scalac: missing or invalid dependency detected while loading class file 'RDD.class'.
Could not access term hadoop in package org.apache,
because it (or its dependencies) are missing. Check your build definition for
missing or conflicting dependencies. (Re-run with `-Ylog-classpath` to see the problematic classpath.)
A full rebuild may help if 'RDD.class' was compiled against an incompatible version of org.apache.

我i下面这个version应该写啥？写1.6.1 不对啊，没有找到

想跑一下下面的代码，死活有问题，哎，我就很讨厌java这套东西，环境配置半天不说，还慢的要死

/**
  * Created by Administrator on 2016/3/31.
  */

import org.apache.spark.{SparkConf, SparkContext}
/**
  * Created by Administrator on 2016/3/31.
  */
import scala.math.random

import org.apache.spark._
object simpleApp {
  def main(args: Array[String]) {
    val conf = new SparkConf().setAppName("Spark Pi").setMaster("local")
    val spark = new SparkContext(conf)
    val slices = if (args.length > 0) args(0).toInt else 2
    val n = math.min(100000L * slices, Int.MaxValue).toInt // avoid overflow
    val count = spark.parallelize(1 until n, slices).map { i =>
        val x = random * 2 - 1
        val y = random * 2 - 1
        if (x*x + y*y < 1) 1 else 0
      }.reduce(_ + _)
    println("Pi is roughly " + 4.0 * count / n)
    spark.stop()
  }
}

下面分享一个ibm 大数据基础的培训资料：

http://download.youkuaiyun.com/detail/wangyaninglm/9478412

转载于:https://www.cnblogs.com/wangyaning/p/7853911.html