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From satish saley <satishsale...@gmail.com>
Subject Re: System memory 186646528 must be at least 4.718592E8.
Date Fri, 13 May 2016 21:34:18 GMT
Thank you . Looking at the source code helped :)

I set spark.testing.memory to 512 MB and it worked :)

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 " +


On Fri, May 13, 2016 at 12:51 PM, Ted Yu <yuzhihong@gmail.com> wrote:

> Here is related code:
>
>       val executorMemory = conf.*getSizeAsBytes*("spark.executor.memory")
>       if (executorMemory < minSystemMemory) {
>         throw new IllegalArgumentException(s"Executor memory
> $executorMemory must be at least " +
>
> On Fri, May 13, 2016 at 12:47 PM, satish saley <satishsaleyos@gmail.com>
> wrote:
>
>> Hello,
>> I am running
>> https://github.com/apache/spark/blob/branch-1.6/examples/src/main/python/pi.py example,
>> but facing following exception
>>
>> What is the unit of memory pointed out in the error?
>>
>> Following are configs
>>
>>                     --master
>>
>>                     local[*]
>>
>>                     --deploy-mode
>>
>>                     client
>>
>>                     --name
>>
>>                     PysparkExample
>>
>>                     --py-files
>>
>>                     py4j-0.9-src.zip,pyspark.zip,
>>
>>                     --verbose
>>
>>
>> pi.py/py4j-0.9-src.zip/py4j/protocol.py", line 308, in get_return_value
>>
>> py4j.protocol.Py4JJavaError: An error occurred while calling
>> None.org.apache.spark.api.java.JavaSparkContext.
>>
>> : java.lang.IllegalArgumentException: System memory 186646528 must be at
>> least 4.718592E8. Please use a larger heap size.
>>
>>         at
>> org.apache.spark.memory.UnifiedMemoryManager$.getMaxMemory(UnifiedMemoryManager.scala:193)
>>
>>         at
>> org.apache.spark.memory.UnifiedMemoryManager$.apply(UnifiedMemoryManager.scala:175)
>>
>>         at org.apache.spark.SparkEnv$.create(SparkEnv.scala:354)
>>
>>         at org.apache.spark.SparkEnv$.createDriverEnv(SparkEnv.scala:193)
>>
>>         at
>> org.apache.spark.SparkContext.createSparkEnv(SparkContext.scala:288)
>>
>>         at org.apache.spark.SparkContext.<init>(SparkContext.scala:457)
>>
>>         at
>> org.apache.spark.api.java.JavaSparkContext.<init>(JavaSparkContext.scala:59)
>>
>>         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:422)
>>
>>         at py4j.reflection.MethodInvoker.invoke(MethodInvoker.java:234)
>>
>>         at
>> py4j.reflection.ReflectionEngine.invoke(ReflectionEngine.java:381)
>>
>>         at py4j.Gateway.invoke(Gateway.java:214)
>>
>>         at
>> py4j.commands.ConstructorCommand.invokeConstructor(ConstructorCommand.java:79)
>>
>>         at
>> py4j.commands.ConstructorCommand.execute(ConstructorCommand.java:68)
>>
>>         at py4j.GatewayConnection.run(GatewayConnection.java:209)
>>
>>         at java.lang.Thread.run(Thread.java:745)
>>
>
>

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