Advertisement
Not a member of Pastebin yet?
Sign Up,
it unlocks many cool features!
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - ResultStage 0 (csv at NativeMethodAccessorImpl.java:0) finished in 0.326 s
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - Job 0 finished: csv at NativeMethodAccessorImpl.java:0, took 0.375615 s
- 2018-05-12 14:14:46 INFO FileSourceStrategy:54 - Pruning directories with:
- 2018-05-12 14:14:46 INFO FileSourceStrategy:54 - Post-Scan Filters:
- 2018-05-12 14:14:46 INFO FileSourceStrategy:54 - Output Data Schema: struct<value: string>
- 2018-05-12 14:14:46 INFO FileSourceScanExec:54 - Pushed Filters:
- 2018-05-12 14:14:46 INFO CodeGenerator:54 - Code generated in 7.4815 ms
- 2018-05-12 14:14:46 INFO MemoryStore:54 - Block broadcast_2 stored as values in memory (estimated size 277.6 KB, free 4.1 GB)
- 2018-05-12 14:14:46 INFO MemoryStore:54 - Block broadcast_2_piece0 stored as bytes in memory (estimated size 23.4 KB, free 4.1 GB)
- 2018-05-12 14:14:46 INFO BlockManagerInfo:54 - Added broadcast_2_piece0 in memory on a77d7f063d74:36956 (size: 23.4 KB, free: 4.1 GB)
- 2018-05-12 14:14:46 INFO SparkContext:54 - Created broadcast 2 from csv at NativeMethodAccessorImpl.java:0
- 2018-05-12 14:14:46 INFO FileSourceScanExec:54 - Planning scan with bin packing, max size: 4194304 bytes, open cost is considered as scanning 4194304 bytes.
- 2018-05-12 14:14:46 INFO SparkContext:54 - Starting job: csv at NativeMethodAccessorImpl.java:0
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - Got job 1 (csv at NativeMethodAccessorImpl.java:0) with 1 output partitions
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - Final stage: ResultStage 1 (csv at NativeMethodAccessorImpl.java:0)
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - Parents of final stage: List()
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - Missing parents: List()
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - Submitting ResultStage 1 (MapPartitionsRDD[8] at csv at NativeMethodAccessorImpl.java:0), which has no missing parents
- 2018-05-12 14:14:46 INFO MemoryStore:54 - Block broadcast_3 stored as values in memory (estimated size 13.0 KB, free 4.1 GB)
- 2018-05-12 14:14:46 INFO MemoryStore:54 - Block broadcast_3_piece0 stored as bytes in memory (estimated size 7.0 KB, free 4.1 GB)
- 2018-05-12 14:14:46 INFO BlockManagerInfo:54 - Added broadcast_3_piece0 in memory on a77d7f063d74:36956 (size: 7.0 KB, free: 4.1 GB)
- 2018-05-12 14:14:46 INFO SparkContext:54 - Created broadcast 3 from broadcast at DAGScheduler.scala:1039
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - Submitting 1 missing tasks from ResultStage 1 (MapPartitionsRDD[8] at csv at NativeMethodAccessorImpl.java:0) (first 15 tasks are for partitions Vector(0))
- 2018-05-12 14:14:46 INFO TaskSchedulerImpl:54 - Adding task set 1.0 with 1 tasks
- 2018-05-12 14:14:46 INFO TaskSetManager:54 - Starting task 0.0 in stage 1.0 (TID 1, localhost, executor driver, partition 0, PROCESS_LOCAL, 8313 bytes)
- 2018-05-12 14:14:46 INFO Executor:54 - Running task 0.0 in stage 1.0 (TID 1)
- 2018-05-12 14:14:46 INFO FileScanRDD:54 - Reading File path: file:///tmp/src/input/csv/lasertriangulation.csv, range: 0-1726, partition values: [empty row]
- 2018-05-12 14:14:46 INFO Executor:54 - Finished task 0.0 in stage 1.0 (TID 1). 1761 bytes result sent to driver
- 2018-05-12 14:14:46 INFO TaskSetManager:54 - Finished task 0.0 in stage 1.0 (TID 1) in 51 ms on localhost (executor driver) (1/1)
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - ResultStage 1 (csv at NativeMethodAccessorImpl.java:0) finished in 0.074 s
- 2018-05-12 14:14:46 INFO TaskSchedulerImpl:54 - Removed TaskSet 1.0, whose tasks have all completed, from pool
- 2018-05-12 14:14:46 INFO DAGScheduler:54 - Job 1 finished: csv at NativeMethodAccessorImpl.java:0, took 0.079536 s
- 2018-05-12 14:14:46 INFO FileSourceStrategy:54 - Pruning directories with:
- 2018-05-12 14:14:46 INFO FileSourceStrategy:54 - Post-Scan Filters:
- 2018-05-12 14:14:46 INFO FileSourceStrategy:54 - Output Data Schema: struct<InspectionType: string, Altitude_UM: double, Floor_UM: double, SurfaceFlatness_UM: double, Height_UM: double ... 18 more fields>
- 2018-05-12 14:14:46 INFO FileSourceScanExec:54 - Pushed Filters:
- 2018-05-12 14:14:46 INFO MemoryStore:54 - Block broadcast_4 stored as values in memory (estimated size 277.9 KB, free 4.1 GB)
- 2018-05-12 14:14:46 INFO MemoryStore:54 - Block broadcast_4_piece0 stored as bytes in memory (estimated size 23.4 KB, free 4.1 GB)
- 2018-05-12 14:14:46 INFO BlockManagerInfo:54 - Added broadcast_4_piece0 in memory on a77d7f063d74:36956 (size: 23.4 KB, free: 4.1 GB)
- 2018-05-12 14:14:46 INFO SparkContext:54 - Created broadcast 4 from javaToPython at NativeMethodAccessorImpl.java:0
- 2018-05-12 14:14:47 INFO FileSourceScanExec:54 - Planning scan with bin packing, max size: 4194304 bytes, open cost is considered as scanning 4194304 bytes.
- Traceback (most recent call last):
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 235, in dump
- return Pickler.dump(self, obj)
- File "/usr/lib/python3.5/pickle.py", line 408, in dump
- self.save(obj)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 740, in save_tuple
- save(element)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 794, in _batch_appends
- save(x)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 794, in _batch_appends
- save(x)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 794, in _batch_appends
- save(x)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 797, in _batch_appends
- save(tmp[0])
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 797, in _batch_appends
- save(tmp[0])
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 372, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 797, in _batch_appends
- save(tmp[0])
- File "/usr/lib/python3.5/pickle.py", line 520, in save
- self.save_reduce(obj=obj, *rv)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 780, in save_reduce
- save(cls)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 639, in save_global
- self.save_dynamic_class(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 476, in save_dynamic_class
- save(clsdict)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 810, in save_dict
- self._batch_setitems(obj.items())
- File "/usr/lib/python3.5/pickle.py", line 836, in _batch_setitems
- save(v)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 372, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 525, in save_function_tuple
- save(f_globals)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 810, in save_dict
- self._batch_setitems(obj.items())
- File "/usr/lib/python3.5/pickle.py", line 841, in _batch_setitems
- save(v)
- File "/usr/lib/python3.5/pickle.py", line 520, in save
- self.save_reduce(obj=obj, *rv)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 804, in save_reduce
- save(state)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 810, in save_dict
- self._batch_setitems(obj.items())
- File "/usr/lib/python3.5/pickle.py", line 836, in _batch_setitems
- save(v)
- File "/usr/lib/python3.5/pickle.py", line 520, in save
- self.save_reduce(obj=obj, *rv)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 804, in save_reduce
- save(state)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 810, in save_dict
- self._batch_setitems(obj.items())
- File "/usr/lib/python3.5/pickle.py", line 836, in _batch_setitems
- save(v)
- File "/usr/lib/python3.5/pickle.py", line 495, in save
- rv = reduce(self.proto)
- File "/usr/lib/python3.5/socket.py", line 175, in __getstate__
- raise TypeError("Cannot serialize socket object")
- TypeError: Cannot serialize socket object
- Traceback (most recent call last):
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 235, in dump
- return Pickler.dump(self, obj)
- File "/usr/lib/python3.5/pickle.py", line 408, in dump
- self.save(obj)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 740, in save_tuple
- save(element)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 794, in _batch_appends
- save(x)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 794, in _batch_appends
- save(x)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 794, in _batch_appends
- save(x)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 797, in _batch_appends
- save(tmp[0])
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 378, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 797, in _batch_appends
- save(tmp[0])
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 372, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 529, in save_function_tuple
- save(closure_values)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 770, in save_list
- self._batch_appends(obj)
- File "/usr/lib/python3.5/pickle.py", line 797, in _batch_appends
- save(tmp[0])
- File "/usr/lib/python3.5/pickle.py", line 520, in save
- self.save_reduce(obj=obj, *rv)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 780, in save_reduce
- save(cls)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 639, in save_global
- self.save_dynamic_class(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 476, in save_dynamic_class
- save(clsdict)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 810, in save_dict
- self._batch_setitems(obj.items())
- File "/usr/lib/python3.5/pickle.py", line 836, in _batch_setitems
- save(v)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 372, in save_function
- self.save_function_tuple(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 525, in save_function_tuple
- save(f_globals)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 810, in save_dict
- self._batch_setitems(obj.items())
- File "/usr/lib/python3.5/pickle.py", line 841, in _batch_setitems
- save(v)
- File "/usr/lib/python3.5/pickle.py", line 520, in save
- self.save_reduce(obj=obj, *rv)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 804, in save_reduce
- save(state)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 810, in save_dict
- self._batch_setitems(obj.items())
- File "/usr/lib/python3.5/pickle.py", line 836, in _batch_setitems
- save(v)
- File "/usr/lib/python3.5/pickle.py", line 520, in save
- self.save_reduce(obj=obj, *rv)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 804, in save_reduce
- save(state)
- File "/usr/lib/python3.5/pickle.py", line 475, in save
- f(self, obj) # Call unbound method with explicit self
- File "/usr/lib/python3.5/pickle.py", line 810, in save_dict
- self._batch_setitems(obj.items())
- File "/usr/lib/python3.5/pickle.py", line 836, in _batch_setitems
- save(v)
- File "/usr/lib/python3.5/pickle.py", line 495, in save
- rv = reduce(self.proto)
- File "/usr/lib/python3.5/socket.py", line 175, in __getstate__
- raise TypeError("Cannot serialize socket object")
- TypeError: Cannot serialize socket object
- During handling of the above exception, another exception occurred:
- Traceback (most recent call last):
- File "/tmp/load.py", line 406, in <module>
- lt.load(mi, v_client)
- File "/tmp/load.py", line 124, in load
- df.rdd.foreachPartition(bulk_writing)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/rdd.py", line 814, in foreachPartition
- self.mapPartitions(func).count() # Force evaluation
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/rdd.py", line 1056, in count
- return self.mapPartitions(lambda i: [sum(1 for _ in i)]).sum()
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/rdd.py", line 1047, in sum
- return self.mapPartitions(lambda x: [sum(x)]).fold(0, operator.add)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/rdd.py", line 921, in fold
- vals = self.mapPartitions(func).collect()
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/rdd.py", line 824, in collect
- port = self.ctx._jvm.PythonRDD.collectAndServe(self._jrdd.rdd())
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/rdd.py", line 2470, in _jrdd
- self._jrdd_deserializer, profiler)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/rdd.py", line 2403, in _wrap_function
- pickled_command, broadcast_vars, env, includes = _prepare_for_python_RDD(sc, command)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/rdd.py", line 2389, in _prepare_for_python_RDD
- pickled_command = ser.dumps(command)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/serializers.py", line 568, in dumps
- return cloudpickle.dumps(obj, 2)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 918, in dumps
- cp.dump(obj)
- File "/usr/local/lib/python3.5/dist-packages/pyspark-2.3.0-py3.5.egg/pyspark/cloudpickle.py", line 249, in dump
- raise pickle.PicklingError(msg)
- _pickle.PicklingError: Could not serialize object: TypeError: Cannot serialize socket object
Advertisement
Add Comment
Please, Sign In to add comment
Advertisement