Скачать или смотреть GroupBy Query | Hive Tutorial Part-7 | Word Count | What is Tag

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In this Hive tutorial, we delve into the world of Group By queries, exploring how to find the frequency of tags and perform word count on a dataset. Tags, as we know, are keywords associated with questions, defining their topics like HTML, Excel, C++, and more.

To understand the distribution of tags and their frequencies in our dataset of 6 million records, we write a Hive query. The goal is to find out how many questions are related to each tag, such as HTML, C++, Excel, and Hadoop.

The Hive query looks like this:

sql
SELECT tag_one, COUNT(*) AS tag_count
FROM stack_overflow_tags
GROUP BY tag_one
ORDER BY tag_count DESC;
In this query, we select the tag field tag_one and calculate the count of each tag using COUNT(*) AS tag_count. The result is then grouped by tag_one to find the frequency of each tag, ordered by the tag count in descending order.

Executing this command, we see the MapReduce process in action, slowly processing the massive dataset. As the map and reduce tasks progress, we witness the tags and their corresponding frequencies being computed.

However, due to the large output, it's best practice to save the results to a new file. We demonstrate this by executing the query and then saving the output to a file for easier analysis.

During the execution, we observe the progress of the MapReduce tasks, seeing the completion percentages and the start of the reduce phase. Eventually, we get the desired output showing the tags and their frequencies, providing insights into the most commonly mentioned topics in our dataset.

By showcasing this Group By query and word count operation in Hive, we learn how to harness the power of SQL-like commands in a distributed computing environment. Hive simplifies complex MapReduce tasks, making data analysis accessible and efficient.

Join us in this Hive tutorial as we uncover the frequency of tags, perform word count, and explore the world of Group By queries!

#HiveTutorial #GroupByQuery #TagFrequency #WordCount #DataAnalysis #bigdata
#hive #mapreduce #groupby