Sign Up

Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.

Have an account? Sign In

Have an account? Sign In Now

Sign In

Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.

Sign Up Here

Forgot Password?

Don't have account, Sign Up Here

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Have an account? Sign In Now

You must login to ask a question.

Forgot Password?

Need An Account, Sign Up Here

Please briefly explain why you feel this question should be reported.

Please briefly explain why you feel this answer should be reported.

Please briefly explain why you feel this user should be reported.

Sign InSign Up

The Archive Base

The Archive Base Logo The Archive Base Logo

The Archive Base Navigation

  • SEARCH
  • Home
  • About Us
  • Blog
  • Contact Us
Search
Ask A Question

Mobile menu

Close
Ask a Question
  • Home
  • Add group
  • Groups page
  • Feed
  • User Profile
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Buy Points
  • Users
  • Help
  • Buy Theme
  • SEARCH
Home/ Questions/Q 6966045
In Process

The Archive Base Latest Questions

Editorial Team
  • 0
Editorial Team
Asked: May 27, 20262026-05-27T16:08:25+00:00 2026-05-27T16:08:25+00:00

I have 6 fields in a csv file: first is student name ( String

  • 0

I have 6 fields in a csv file:

  • first is student name (String)
  • others are student’s marks like subject 1 , subject 2 etc

I am writing mapreduce in java, splitting all fields with comma and sending student name in key and marks in value of map.

In reduce I’m processing them outputting student name in key and theire marks plus total, average, etc in value of reduce.

I think there may be an alternative, and more efficient way to do this.

Has anyone got an idea of a better way to do this these operations?

Are there any inbuilt functions of hadoop which can group by student name and can calculate total marks and average associated to thaty student?

  • 1 1 Answer
  • 0 Views
  • 0 Followers
  • 0
Share
  • Facebook
  • Report

Leave an answer
Cancel reply

You must login to add an answer.

Forgot Password?

Need An Account, Sign Up Here

1 Answer

  • Voted
  • Oldest
  • Recent
  • Random
  1. Editorial Team
    Editorial Team
    2026-05-27T16:08:25+00:00Added an answer on May 27, 2026 at 4:08 pm

    You might want to have a look at Pig http://pig.apache.org/ which provides a simple language on top of Hadoop that lets you perform many standard tasks with much shorter code.

    • 0
    • Reply
    • Share
      Share
      • Share on Facebook
      • Share on Twitter
      • Share on LinkedIn
      • Share on WhatsApp
      • Report

Sidebar

Related Questions

I have a csv file with first line as fields and remaining lines as
I have a csv file where amount and quantity fields are present in each
I have a CSV file that I'm working with, and all the fields are
I have a csv file like 120 column by 4500 row. I read the
I have an .sql file which contains some data like first_name, last_name, email etc.
I have a csv file that has a date field in a format like
I have a csv file with 7 fields of data. I want to sort
I have a function that converts a .csv file to a datatable. One of
I have an exceptionally bad CSV file. Although I solved the problem in the
How can I parse my CSV file without parsing first line ? This class

Explore

  • Home
  • Add group
  • Groups page
  • Communities
  • Questions
    • New Questions
    • Trending Questions
    • Must read Questions
    • Hot Questions
  • Polls
  • Tags
  • Badges
  • Users
  • Help
  • SEARCH

Footer

© 2021 The Archive Base. All Rights Reserved
With Love by The Archive Base

Insert/edit link

Enter the destination URL

Or link to existing content

    No search term specified. Showing recent items. Search or use up and down arrow keys to select an item.