Hadoop MapReduce WordCount Example | Compile + Run in WSL Ubuntu (2026)
📌 In this video, I will show you how to write, compile, and execute a Hadoop MapReduce Word Count program using Java in WSL Ubuntu.
This is one of the most important Hadoop practical programs for exams, labs, and interviews.
✅ Topics Covered in this Video:
🔹 Start Hadoop services (SSH + HDFS)
🔹 Verify Hadoop running processes using jps
🔹 Write WordCount Java MapReduce program
🔹 Compile Java code using Hadoop classpath
🔹 Create Jar file
🔹 Upload input file to HDFS
🔹 Run MapReduce job in Hadoop
🔹 View output in HDFS
🔹 Delete output folder to run again
📍 Commands used:
start-dfs.sh
hdfs dfs -mkdir
hdfs dfs -put
hadoop jar ...
hdfs dfs -cat ...
✅ Output example:
hadoop 1
hello 2
mapreduce 1
world 1
🎯 This practical is useful for:
📌 Hadoop Lab Programs
📌 Big Data Practicals
📌 MapReduce Programs
📌 Academic Viva / Exam
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