spark Error initializing SparkContext System memory 466092032 must be at least 471859200.

ERROR SparkContext: Error initializing SparkContext.

Java.lang.IllegalArgumentException: System memory 259522560 must be at least 4.718592E8. Please use a larger heap size.

在Eclipse里开发Spark项目，尝试直接在spark里运行程序的时候，遇到下面这个报错：

ERROR SparkContext: Error initializing SparkContext.
java.lang.IllegalArgumentException: System memory 468189184 must be at least 4.718592E8. Please use a larger heap size.

很明显，这是JVM申请的memory不够导致无法启动SparkContext。但是该怎么设呢？

通过查看spark源码，发现源码是这么写的：

 /**
    * Return the total amount of memory shared between execution and storage, in bytes.
    */
   private def getMaxMemory(conf: SparkConf): Long = {
     val systemMemory = conf.getLong("spark.testing.memory", Runtime.getRuntime.maxMemory)
     val reservedMemory = conf.getLong("spark.testing.reservedMemory",
       if (conf.contains("spark.testing")) 0 else RESERVED_SYSTEM_MEMORY_BYTES)
     val minSystemMemory = reservedMemory * 1.5
     if (systemMemory < minSystemMemory) {
       throw new IllegalArgumentException(s"System memory $systemMemory must " +
         s"be at least $minSystemMemory. Please use a larger heap size.")
     }
     val usableMemory = systemMemory - reservedMemory
     val memoryFraction = conf.getDouble("spark.memory.fraction", 0.75)
     (usableMemory * memoryFraction).toLong
   }

所以，这里主要是val systemMemory = conf.getLong("spark.testing.memory", Runtime.getRuntime.maxMemory)。

conf.getLong()的定义和解释是

 getLong(key: String, defaultValue: Long): Long
 Get a parameter as a long, falling back to a default if not set

所以，我们应该在conf里设置一下spark.testing.memory.

通过尝试，发现可以有2个地方可以设置

1. 自己的源代码处，可以在conf之后加上：

    val conf = new SparkConf().setAppName("word count")
    conf.set("spark.testing.memory", "2147480000")//后面的值大于512m即可

2. 可以在Eclipse的Run Configuration处，有一栏是Arguments，下面有VMarguments，在下面添加下面一行(值也是只要大于512m即可)

-Dspark.testing.memory=1073741824

其他的参数，也可以动态地在这里设置，比如-Dspark.master=spark://hostname:7077

再运行就不会报这个错误了。