topic Re: take() ooperation is throwing error in Data Engineering

take() ooperation is throwing error

shelly — Wed, 29 Mar 2023 04:01:03 GMT

Traceback (most recent call last):
  File "/usr/local/spark/python/pyspark/serializers.py", line 458, in dumps
    return cloudpickle.dumps(obj, pickle_protocol)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/spark/python/pyspark/cloudpickle/cloudpickle_fast.py", line 73, in dumps
    cp.dump(obj)
  File "/usr/local/spark/python/pyspark/cloudpickle/cloudpickle_fast.py", line 602, in dump
    return Pickler.dump(self, obj)
           ^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/spark/python/pyspark/cloudpickle/cloudpickle_fast.py", line 692, in reducer_override
    return self._function_reduce(obj)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^
  File "/usr/local/spark/python/pyspark/cloudpickle/cloudpickle_fast.py", line 565, in _function_reduce
    return self._dynamic_function_reduce(obj)
           ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

operation:

x=[1,2,3,4,5,6,7]

rdd = sc.parallelize(x)

print (rdd.take(2))

Re: take() ooperation is throwing error

pvignesh92 — Wed, 29 Mar 2023 08:44:31 GMT

Hi @Shelly Bhardwaj This should work. Can you restart your Jupiter terminal and execute this and check?

Re: take() ooperation is throwing error

Anonymous — Sun, 02 Apr 2023 05:43:36 GMT

@Shelly Bhardwaj :

The error message you provided seems to be incomplete, as it only shows the traceback of a serialization error. Can you provide the full error message or describe the issue in more detail?

Regarding the code you provided, it looks correct and should return the first two elements of the RDD without any errors.