Spark本地测试异常java.lang.IllegalArgumentException: System memory 259522560 must be at least 471859200.

Spark本地测试异常java.lang.IllegalArgumentException: System memory 259522560 must be at least 471859200.

异常如下：

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java.lang.IllegalArgumentException: System memory 259522560 must be at least 471859200. Please increase heap size using the --driver-memory option or spark.driver.memory in Spark configuration.
at org.apache.spark.memory.UnifiedMemoryManager$.getMaxMemory(UnifiedMemoryManager.scala:217)
at org.apache.spark.memory.UnifiedMemoryManager$.apply(UnifiedMemoryManager.scala:199)
at org.apache.spark.SparkEnv$.create(SparkEnv.scala:332)
at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:175)
at org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:257)
at org.apache.spark.SparkContext.(SparkContext.scala:432)
at edu.hfu.demo.test.WordcountTest.(WordcountTest.scala:41)
at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method)
at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62)
at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45)
at java.lang.reflect.Constructor.newInstance(Constructor.java:423)
at org.junit.runners.BlockJUnit4ClassRunner.createTest(BlockJUnit4ClassRunner.java:187)
at org.junit.runners.BlockJUnit4ClassRunner$1.runReflectiveCall(BlockJUnit4ClassRunner.java:236)
at org.junit.internal.runners.model.ReflectiveCallable.run(ReflectiveCallable.java:15)
at org.junit.runners.BlockJUnit4ClassRunner.methodBlock(BlockJUnit4ClassRunner.java:233)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:68)
at org.junit.runners.BlockJUnit4ClassRunner.runChild(BlockJUnit4ClassRunner.java:47)
at org.junit.runners.ParentRunner$3.run(ParentRunner.java:231)
at org.junit.runners.ParentRunner$1.schedule(ParentRunner.java:60)
at org.junit.runners.ParentRunner.runChildren(ParentRunner.java:229)
at org.junit.runners.ParentRunner.access$000(ParentRunner.java:50)
at org.junit.runners.ParentRunner$2.evaluate(ParentRunner.java:222)
at org.junit.runners.ParentRunner.run(ParentRunner.java:300)
at org.junit.runner.JUnitCore.run(JUnitCore.java:157)
at com.intellij.junit4.JUnit4IdeaTestRunner.startRunnerWithArgs(JUnit4IdeaTestRunner.java:69)
at com.intellij.rt.junit.IdeaTestRunner$Repeater.startRunnerWithArgs(IdeaTestRunner.java:33)
at com.intellij.rt.junit.JUnitStarter.prepareStreamsAndStart(JUnitStarter.java:220)
at com.intellij.rt.junit.JUnitStarter.main(JUnitStarter.java:53)
Process finished with exit code -1

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异常原因

Spark是非常依赖内存的计算框架，在Win环境下使用local模式时，实际上是使用多线程的形式模拟集群进行计算，因而对于计算机的内存有一定要求，这是典型的因为这是JVM申请的memory不够导致无法启动SparkContext。

解决方法

在设置SparkConf 时，多设置一个如下参数，来指定分配给Spark的内存。
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    val sparkConf = new SparkConf().set("spark.testing.memory","2147480000")

//在sparkSQL 配置时增加   config()配置
	val spark = new SparkSession.Builder()
  		.appName("sql")
 		 .master("local[6]")
	   .config("spark.testing.memory", "471859200")
  .	   .getOrCreate()

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