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Write a MapReduce code to find anagrams in a text file stored in HDFS. An anagram is basically a different arrangement of letters in a word. Anagram does not need to be meaningful
The file is located at
Output file will contain the anagrams in the text file
3 ['bowel,', 'elbow,', 'below,'] 3 ['bore', 'boer', 'robe'] 3 ['bears', 'baser', 'saber']
Check out the mapper.py and reducer.py in GitHub
If you haven't cloned the CloudxLab GitHub repository, then clone it in your home folder in web console using the below command
git clone https://github.com/singhabhinav/cloudxlab.git ~/cloudxlab
Else, update the local copy
cd ~/cloudxlab git pull origin master
Go to find_anagrams directory
Run the MapReduce code using Hadoop streaming. Please make sure to save output in find_anagrams in mapreduce-programming/find_anagrams directory inside your home directory in HDFS. Run the below command
hadoop jar /usr/hdp/188.8.131.52-3485/hadoop-mapreduce/hadoop-streaming.jar -input /data/mr/wordcount/big.txt -output mapreduce-programming/find_anagrams -mapper mapper.py -file mapper.py -reducer reducer.py -file reducer.py
Check the frequency of characters by typing below command.
hadoop fs -cat mapreduce-programming/find_anagrams/* | sort -nr | head -n 20
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