Registrations Closing Soon for DevOps Certification Training by CloudxLab | Registrations Closing in

  Enroll Now

Apache Spark with Python - Counting Word Frequencies

Now that we know how to create an RDD, we would be using that to count the frequency of words in a file located at the following path in Hadoop:

/data/mr/wordcount/input/big.txt

To count the frequency of words we will be using the following method:

flatMap - It returns a new RDD by first applying a function to all elements of this RDD, and then flattening the results.

map - The map method return a new RDD by applying a function to each element of this RDD.

reduceByKey - This method merge the values for each key using an associative and commutative reduce function. It also performs the merging locally on each mapper before sending results to a reducer, similarly to a "combiner" in MapReduce.

Let's get to work.

INSTRUCTIONS
  • Create an RDD from the file at the location given above and then save it in the variable linesRdd

    <<your code goes here>> = sc.textFile("/data/mr/wordcount/input/big.txt")
    
  • Use the flatMap method described above to split the lines into words and save the result in a variable named words

    <<your code goes here>> = linesRdd.flatMap(lambda x: x.split(" "))
    
  • Using the map method, create a key-value pair of each word where the word would be the key and and the number 1 would be the value and store the result in a variable named wordsKv

    wordsKv = words.<<your code goes here>>(lambda x: (x, 1))
    
  • Now let's group by the words and add the numbers associated with them so that we can get the total number of times that word appears in this file and store the result in a variable named output

    output = wordsKv.reduceByKey(lambda x, y: x + y)
    
  • Finally, let's see the first 10 words using the take method we used in the previous step

    output.<<your code goes here>>(10)
    
  • We can also save the result to a text file using the saveAsTextFile method

    output.<<your code goes here>>("my_result")
    
  • To check this my_result file in Hadoop, first login to the web console from another tab or click on the Console tab on the right side of this split screen

  • To check the content of entire file using the below command

    hadoop fs -ls  my_result
    
  • To check the content of the first part of the file use the below command

    hadoop fs -cat my_result/part-00000 | more
    
  • To check the content of the second part of the file use the below command

    hadoop fs -cat my_result/part-00001 | more
    

No hints are availble for this assesment

Answer is not availble for this assesment


Note - Having trouble with the assessment engine? Follow the steps listed here

Loading comments...