Question

我正在尝试将Spark DataFrame转换为H2O DataFrame

对于火花设置，我正在使用

 .setMaster("local[1]")
 .set("spark.driver.memory", "4g")
 .set("spark.executor.memory", "4g")

我尝试了H2O 2.0.2和H2O 1.6.4。我在同样的错误中得到了同样的错误：

 val trainsetH2O: H2OFrame = trainsetH
 val testsetH2O: H2OFrame = testsetH

错误消息是：

 ERROR Executor: Exception in task 49.0 in stage 3.0 (TID 62)
 java.lang.OutOfMemoryError: PermGen space
     at sun.misc.Unsafe.defineClass(Native Method)
     at sun.reflect.ClassDefiner.defineClass(ClassDefiner.java:63)
     at sun.reflect.MethodAccessorGenerator$1.run(MethodAccessorGenerator.java:399)
     at sun.reflect.MethodAccessorGenerator$1.run(MethodAccessorGenerator.java:396)
     at java.security.AccessController.doPrivileged(Native Method)
     at sun.reflect.MethodAccessorGenerator.generate(MethodAccessorGenerator.java:395)
     at sun.reflect.MethodAccessorGenerator.generateSerializationConstructor(MethodAccessorGenerator.java:113)
     at sun.reflect.ReflectionFactory.newConstructorForSerialization(ReflectionFactory.java:331)
     at java.io.ObjectStreamClass.getSerializableConstructor(ObjectStreamClass.java:1376)
     at java.io.ObjectStreamClass.access$1500(ObjectStreamClass.java:72)
     at java.io.ObjectStreamClass$2.run(ObjectStreamClass.java:493)
     at java.io.ObjectStreamClass$2.run(ObjectStreamClass.java:468)
     at java.security.AccessController.doPrivileged(Native Method)
     at java.io.ObjectStreamClass.<init>(ObjectStreamClass.java:468)
     at java.io.ObjectStreamClass.lookup(ObjectStreamClass.java:365)
     at java.io.ObjectStreamClass.initNonProxy(ObjectStreamClass.java:602)
     at java.io.ObjectInputStream.readNonProxyDesc(ObjectInputStream.java:1622)
     at java.io.ObjectInputStream.readClassDesc(ObjectInputStream.java:1517)
     at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1771)
     at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
     at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
     at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
     at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
     at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
     at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
     at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
     at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
     at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)
     at java.io.ObjectInputStream.defaultReadFields(ObjectInputStream.java:1990)
     at java.io.ObjectInputStream.readSerialData(ObjectInputStream.java:1915)
     at java.io.ObjectInputStream.readOrdinaryObject(ObjectInputStream.java:1798)
     at java.io.ObjectInputStream.readObject0(ObjectInputStream.java:1350)

哪里错了？列车集和测试集中的数据小于10K，因此它实际上非常小。

Answer 1

问题是你的PermGem内存不足，这与你通常使用

为你的驱动程序和执行程序配置的内存空间不同

.set("spark.driver.memory", "4g") .set("spark.executor.memory", "4g")

这是包含加载类的JVM内存的一部分。要为spark驱动程序和执行程序增加它，请使用以下参数调用spark-submit或spark-shell命令。

--conf spark.driver.extraJavaOptions="-XX:MaxPermSize=384m" --conf spark.executor.extraJavaOptions="-XX:MaxPermSize=384m"

苏打水：将火花数据帧转换为H2o数据帧时内存不足

1 个答案: