JVM申请的memory不足解决办法[spark]
报错内容：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。
解决：
Window——Preference——Java——Installed JREs——选中一个Jre 后
Edit在Default VM arguments 里加入：-Xmx512M
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