Maybe you've already checked these out. Some basic questions that come to my 
mind are:
1) is this library "foolib" or "foo-C-library" available on the worker node?
2) if yes, is it accessible by the user/program (rwx)?

Thanks,
Vasu. 

> On Nov 26, 2016, at 5:08 PM, kant kodali <kanth...@gmail.com> wrote:
> 
> If it is working for standalone program I would think you can apply the same 
> settings across all the spark worker  and client machines and give that a 
> try. Lets start with that.
> 
>> On Sat, Nov 26, 2016 at 11:59 AM, vineet chadha <start.vin...@gmail.com> 
>> wrote:
>> Just subscribed to  Spark User.  So, forwarding message again.
>> 
>>> On Sat, Nov 26, 2016 at 11:50 AM, vineet chadha <start.vin...@gmail.com> 
>>> wrote:
>>> Thanks Kant. Can you give me a sample program which allows me to call jni 
>>> from executor task ?   I have jni working in standalone program in 
>>> scala/java. 
>>> 
>>> Regards,
>>> Vineet
>>> 
>>>> On Sat, Nov 26, 2016 at 11:43 AM, kant kodali <kanth...@gmail.com> wrote:
>>>> Yes this is a Java JNI question. Nothing to do with Spark really.
>>>> 
>>>>  java.lang.UnsatisfiedLinkError typically would mean the way you setup 
>>>> LD_LIBRARY_PATH is wrong unless you tell us that it is working for other 
>>>> cases but not this one.
>>>> 
>>>>> On Sat, Nov 26, 2016 at 11:23 AM, Reynold Xin <r...@databricks.com> wrote:
>>>> 
>>>>> That's just standard JNI and has nothing to do with Spark, does it?
>>>>> 
>>>>> 
>>>>>> On Sat, Nov 26, 2016 at 11:19 AM, vineet chadha <start.vin...@gmail.com> 
>>>>>> wrote:
>>>>>> Thanks Reynold for quick reply.
>>>>>> 
>>>>>>  I have tried following: 
>>>>>> 
>>>>>> class MySimpleApp {
>>>>>>  // ---Native methods
>>>>>>   @native def fooMethod (foo: String): String
>>>>>> }
>>>>>> 
>>>>>> object MySimpleApp {
>>>>>>   val flag = false
>>>>>>   def loadResources() {
>>>>>>   System.loadLibrary("foo-C-library")
>>>>>>           val flag = true
>>>>>>   }
>>>>>>   def main() {
>>>>>>     sc.parallelize(1 to 10).mapPartitions ( iter => {
>>>>>>       if(flag == false){
>>>>>>          MySimpleApp.loadResources()
>>>>>>        val SimpleInstance = new MySimpleApp
>>>>>>       }
>>>>>>       SimpleInstance.fooMethod ("fooString") 
>>>>>>       iter
>>>>>>     })
>>>>>>   }
>>>>>> }
>>>>>> 
>>>>>> I don't see way to invoke fooMethod which is implemented in 
>>>>>> foo-C-library. Is I am missing something ? If possible, can you point me 
>>>>>> to existing implementation which i can refer to.
>>>>>> 
>>>>>> Thanks again. 
>>>>>> ~        
>>>>>> 
>>>>>> 
>>>>>>> On Fri, Nov 25, 2016 at 3:32 PM, Reynold Xin <r...@databricks.com> 
>>>>>>> wrote:
>>>>>>> bcc dev@ and add user@
>>>>>>> 
>>>>>>> 
>>>>>>> This is more a user@ list question rather than a dev@ list question. 
>>>>>>> You can do something like this:
>>>>>>> 
>>>>>>> object MySimpleApp {
>>>>>>>   def loadResources(): Unit = // define some idempotent way to load 
>>>>>>> resources, e.g. with a flag or lazy val
>>>>>>> 
>>>>>>>   def main() = {
>>>>>>>     ...
>>>>>>>    
>>>>>>>     sc.parallelize(1 to 10).mapPartitions { iter =>
>>>>>>>       MySimpleApp.loadResources()
>>>>>>>       
>>>>>>>       // do whatever you want with the iterator
>>>>>>>     }
>>>>>>>   }
>>>>>>> }
>>>>>>> 
>>>>>>> 
>>>>>>> 
>>>>>>> 
>>>>>>> 
>>>>>>>> On Fri, Nov 25, 2016 at 2:33 PM, vineet chadha 
>>>>>>>> <start.vin...@gmail.com> wrote:
>>>>>>>> Hi,
>>>>>>>> 
>>>>>>>> I am trying to invoke C library from the Spark Stack using JNI 
>>>>>>>> interface (here is sample  application code)
>>>>>>>> 
>>>>>>>> 
>>>>>>>> class SimpleApp {
>>>>>>>>  // ---Native methods
>>>>>>>> @native def foo (Top: String): String
>>>>>>>> }
>>>>>>>> 
>>>>>>>> object SimpleApp  {
>>>>>>>>    def main(args: Array[String]) {
>>>>>>>>  
>>>>>>>>     val conf = new 
>>>>>>>> SparkConf().setAppName("SimpleApplication").set("SPARK_LIBRARY_PATH", 
>>>>>>>> "lib")
>>>>>>>>     val sc = new SparkContext(conf)
>>>>>>>>      System.loadLibrary("foolib")
>>>>>>>>     //instantiate the class
>>>>>>>>      val SimpleAppInstance = new SimpleApp
>>>>>>>>     //String passing - Working
>>>>>>>>     val ret = SimpleAppInstance.foo("fooString")
>>>>>>>>   }
>>>>>>>> 
>>>>>>>> Above code work fines. 
>>>>>>>> 
>>>>>>>> I have setup LD_LIBRARY_PATH and spark.executor.extraClassPath,  
>>>>>>>> spark.executor.extraLibraryPath at worker node
>>>>>>>> 
>>>>>>>> How can i invoke JNI library from worker node ? Where should i load it 
>>>>>>>> in executor ?
>>>>>>>> Calling  System.loadLibrary("foolib") inside the work node gives me 
>>>>>>>> following error :
>>>>>>>> 
>>>>>>>> Exception in thread "main" java.lang.UnsatisfiedLinkError: 
>>>>>>>> Any help would be really appreciated.
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>>> 
>>>>>>> 
>>>>>> 
>>>>> 
>>>> 
>>> 
>> 
> 

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