Hi Davies,
Thanks for the reply
The problem is I have empty dictionaries in my field3 as well. It gives me
an error :
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/root/spark/python/pyspark/sql.py", line 1042, in inferSchema
schema = _infer_schema(first)
File "/root/spark/python/pyspark/sql.py", line 495, in _infer_schema
fields = [StructField(k, _infer_type(v), True) for k, v in items]
File "/root/spark/python/pyspark/sql.py", line 460, in _infer_type
raise ValueError("Can not infer type for empty dict")
ValueError: Can not infer type for empty dict
When I remove the empty dictionary items from each record. That is, when
mapping to the main dictionary, if field3 is an empty ditc, i do not include
that hence the record converts from
{
field1:5,
field2: 'string',
field3: {}
}
to >
{
field1:5,
field2: 'string',
}
At this point, I get :
ERROR TaskSetManager: Task 0 in stage 14.0 failed 4 times; aborting job
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/root/spark/python/pyspark/sql.py", line 1044, in inferSchema
return self.applySchema(rdd, schema)
File "/root/spark/python/pyspark/sql.py", line 1117, in applySchema
rows = rdd.take(10)
File "/root/spark/python/pyspark/rdd.py", line 1153, in take
res = self.context.runJob(self, takeUpToNumLeft, p, True)
File "/root/spark/python/pyspark/context.py", line 770, in runJob
it = self._jvm.PythonRDD.runJob(self._jsc.sc(), mappedRDD._jrdd,
javaPartitions, allowLocal)
File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/java_gateway.py",
line 538, in __call__
File "/root/spark/python/lib/py4j-0.8.2.1-src.zip/py4j/protocol.py", line
300, in get_return_value
py4j.protocol.Py4JJavaError: An error occurred while calling
z:org.apache.spark.api.python.PythonRDD.runJob.
: org.apache.spark.SparkException: Job aborted due to stage failure: Task 0
in stage 14.0 failed 4 times, most recent failure: Lost task 0.3 in stage
14.0 (TID 22628, ip-172-31-30-89.ec2.internal):
org.apache.spark.api.python.PythonException: Traceback (most recent call
last):
File "/root/spark/python/pyspark/worker.py", line 79, in main
serializer.dump_stream(func(split_index, iterator), outfile)
File "/root/spark/python/pyspark/serializers.py", line 196, in dump_stream
self.serializer.dump_stream(self._batched(iterator), stream)
File "/root/spark/python/pyspark/serializers.py", line 127, in dump_stream
for obj in iterator:
File "/root/spark/python/pyspark/serializers.py", line 185, in _batched
for item in iterator:
File "/root/spark/python/pyspark/rdd.py", line 1148, in takeUpToNumLeft
yield next(iterator)
File "/root/spark/python/pyspark/sql.py", line 552, in _drop_schema
yield converter(i)
File "/root/spark/python/pyspark/sql.py", line 540, in nested_conv
return tuple(f(v) for f, v in zip(convs, conv(row)))
File "/root/spark/python/pyspark/sql.py", line 540, in <genexpr>
return tuple(f(v) for f, v in zip(convs, conv(row)))
File "/root/spark/python/pyspark/sql.py", line 508, in <lambda>
return lambda row: dict((k, conv(v)) for k, v in row.iteritems())
AttributeError: 'int' object has no attribute 'iteritems'
I am clueless what to do about this. Hope you can help :)
Many thanks
SahanB
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