spark 解决办法 check your cluster UI to ensure that workers are registered and have sufficient memory

报错：WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory

原因：内存不足

解决办法：设置内存

spark-submit --master spark://eb174:7077 --name WordCountByscala --class com.hq.WordCount --executor-memory
1G --total-executor-cores 2 ~/test/WordCount.jar hdfs://eb170:8020/user/ebupt/text 

修改为

spark-submit
--master spark://eb174:7077 --name WordCountByscala --class com.hq.WordCount --executor-memory
512M --total-executor-cores 2 ~/test/WordCount.jar hdfs://eb170:8020/user/ebupt/text 

spark集群运行

1 package com.hq
2
3 /**
4  * User: hadoop
5  * Date: 2014/10/10 0010
6  * Time: 18:59
7  */
8 import org.apache.spark.SparkConf
9 import org.apache.spark.SparkContext
10 import org.apache.spark.SparkContext._
11
12 /**
13  * 统计字符出现次数
14  */
15 object WordCount {
16   def main(args: Array[String]) {
17     if (args.length < 1) {
18       System.err.println("Usage: <file>")
19       System.exit(1)
20     }
21
22     val conf = new SparkConf()
23     val sc = new SparkContext(conf)
24     val line = sc.textFile(args(0))
25
26     line.flatMap(_.split(" ")).map((_, 1)).reduceByKey(_+_).collect().foreach(println)
27
28     sc.stop()
29   }
30 }

执行：

spark-submit --master spark://eb174:7077 --name WordCountByscala --class com.hq.WordCount --executor-memory
1G --total-executor-cores 2 ~/test/WordCount.jar hdfs://eb170:8020/user/ebupt/text 

报错：

WARN scheduler.TaskSchedulerImpl: Initial job has not accepted any resources; check your cluster UI to ensure that workers are registered and have sufficient memory