CODEWITHSUNDEEP
pythonapache-sparkpysparkapache-spark-sql
user400058
user400058

Reputation: 111

Pyspark 'NoneType' object has no attribute '_jvm' error

I was trying to print total elements in each partitions in a DataFrame using spark 2.2

from pyspark.sql.functions import *
from pyspark.sql import SparkSession

def count_elements(splitIndex, iterator):
    n = sum(1 for _ in iterator)
    yield (splitIndex, n)

spark = SparkSession.builder.appName("tmp").getOrCreate()
num_parts = 3
df = spark.read.json("/tmp/tmp/gon_s.json").repartition(num_parts)
print("df has partitions."+ str(df.rdd.getNumPartitions()))
print("Elements across partitions is:" + str(df.rdd.mapPartitionsWithIndex(lambda ind, x: count_elements(ind, x)).take(3)))

The Code above kept failing with following error

  n = sum(1 for _ in iterator)
  File "/home/dev/wk/pyenv/py3/lib/python3.5/site-packages/pyspark/python/lib/pyspark.zip/pyspark/sql/functions.py", line 40, in _
    jc = getattr(sc._jvm.functions, name)(col._jc if isinstance(col, Column) else col)
AttributeError: 'NoneType' object has no attribute '_jvm'

after removing the import below

from pyspark.sql.functions import *

Code works fine

skewed_large_df has partitions.3
The distribution of elements across partitions is:[(0, 1), (1, 2), (2, 2)]

What is it causing this error and how can I fix it?

Upvotes: 6

Views: 15628

Answers (1)

pault
pault

Reputation: 43494

This is a great example of why you shouldn't use import *.

The line

from pyspark.sql.functions import *

will bring in all the functions in the pyspark.sql.functions module into your namespace, include some that will shadow your builtins.

The specific issue is in the count_elements function on the line:

n = sum(1 for _ in iterator)
#   ^^^ - this is now pyspark.sql.functions.sum

You intended to call __builtin__.sum, but the import * shadowed the builtin.

Instead, do one of the following:

import pyspark.sql.functions as f

Or 

from pyspark.sql.functions import sum as sum_

Upvotes: 16

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