CODEWITHSUNDEEP
apache-spark
Richard Rublev
Richard Rublev

Reputation: 8172

Apache Spark,NameError: name 'flatMap' is not defined

When I try

tokens = cleaned_book(flatMap(normalize_tokenize))
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
NameError: name 'flatMap' is not defined

where

cleaned_book.count()
65744

and 

def normalize_tokenize(line):
...     return re.sub('\s+', ' ', line).strip().lower().split(' ')

On the other side

sc.parallelize([3,4,5]).flatMap(lambda x: range(1,x)).collect()

works fine from the same Pyspark shell

[1, 2, 1, 2, 3, 1, 2, 3, 4]

Why do I have NameError?

Upvotes: 0

Views: 409

Answers (1)

Ged
Ged

Reputation: 18023

OK, here is a Scala example with tokenizer that leads me to think you are looking at it wrongly.

def tokenize(f: RDD[String]) = {
      f.map(_.split(" "))
}

val dfsFilename = "/FileStore/tables/some.txt"
val readFileRDD = spark.sparkContext.textFile(dfsFilename)
val wcounts = tokenize(spark.sparkContext.textFile(dfsFilename)).flatMap(x => x).map(word=>(word, 1)).reduceByKey(_ + _)
wcounts.collect()

This works fine, you need the functional . aspect, thus .flatMap and in this sequence. The inline approach I find easier, but I note the comment also alludes to the .flatMap.

Upvotes: 1

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