What is the purpose of RecordReader in Hadoop?

Asked by Last Modified  

6 Answers

Learn Hadoop

Follow 4
Answer

Please enter your answer

"Transforming your struggles into success"

RecordReader converts input splits into key-value pairs for the Mapper.
Comments

I am online Quran teacher 7 years

to convert data from an InputSplit into key-value pairs that the Mapper can process.
Comments

"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

RecordReader in Hadoop: Converts input splits into key-value pairs. Feeds these pairs to the Mapper. Handles how data is parsed/read from files (e.g., line-by-line). Purpose: Acts as a bridge between raw data and the Mapper.
Comments

6 years experience in Mathematics tutoring

to convert data from an InputSplit into key-value pairs that the Mapper can process.
Comments

C Language Faculty (Online Classes ) Having 10 Years Experience

RecordReader , typically, converts the byte-oriented view of the input, provided by the InputSplit , and presents a record-oriented view for the Mapper and Reducer tasks for processing. It thus assumes the responsibility of processing record boundaries and presenting the tasks with keys and values.
read more
RecordReader , typically,converts the byte-oriented view of the input, provided by the InputSplit , and presents a record-oriented view for the Mapper and Reducer tasks for processing. It thus assumes the responsibility of processing record boundaries and presenting the tasks with keys and values. read less
Comments

"Rajesh Kumar N: Guiding Young Minds from 1 to 12 with Expertise and Care"

The purpose of RecordReader in Hadoop is to convert the input splits into key-value pairs for processing by the Mapper. Key Role: Reads data from HDFS block (split) Parses it into logical records (e.g., line-by-line) Emits key-value pairs to the mapper Example: In TextInputFormat, it outputs: Key...
read more
The purpose of RecordReader in Hadoop is to convert the input splits into key-value pairs for processing by the Mapper. Key Role: Reads data from HDFS block (split) Parses it into logical records (e.g., line-by-line) Emits key-value pairs to the mapper Example: In TextInputFormat, it outputs: Key = byte offset Value = line of text So, RecordReader bridges raw data and mapper input. read less
Comments

View 4 more Answers

Related Questions

Hi, currently I am working as php developer having 5 year of experience, I want to change the technology, so can any one suggest me which technology is better for me and in future also (hadoop or node with angular js).
Big Data is cake for data processing whereas Angular is for UI framework. I would recommend you to consider learning Big Data technologies.
Profile Photo
Srikanth
What are the Hadoop Technologies that are hot in the market right now?
Hive ,Spark,Scala,Cassandra,Kafka,Flink ,Machine Learning
Profile Photo
Pankaj
0 0
View Comments5

Now ask question in any of the 1000+ Categories, and get Answers from Tutors and Trainers on UrbanPro.com

Ask a Question

Related Lessons

How To Be A Hadoop Developer?
i. Becoming a Hadoop Developer: Dice survey revealed that 9 out of 10 high paid IT jobs require big data skills. A McKinsey Research Report on Big Data highlights that by end of 2018 the demand for...
Profile Photo

How to create UDF (User Defined Function) in Hive
1. User Defined Function (UDF) in Hive using Java. 2. Download hive-0.4.1.jar and add it to lib-> Buil Path -> Add jar to libraries 3. Q:Find the Cube of number passed: import org.apache.hadoop.hive.ql.exec.UDF; public...
S

Sachin Patil

0 0
View Comments0

13 Things Every Data Scientist Must Know Today
We have spent close to a decade in data science & analytics now. Over this period, We have learnt new ways of working on data sets and creating interesting stories. However, before we could succeed,...
Profile Photo

A Helpful Q&A Session on Big Data Hadoop Revealing If Not Now then Never!
Here is a Q & A session with our Director Amit Kataria, who gave some valuable suggestion regarding big data. What is big data? Big Data is the latest buzz as far as management is concerned....
Profile Photo

CheckPointing Process - Hadoop
CHECK POINTING Checkpointing process is one of the vital concept/activity under Hadoop. The Name node stores the metadata information in its hard disk. We all know that metadata is the heart core...
Profile Photo

Recommended Articles

Big data is a phrase which is used to describe a very large amount of structured (or unstructured) data. This data is so “big” that it gets problematic to be handled using conventional database techniques and software.  A Big Data Scientist is a business employee who is responsible for handling and statistically evaluating...

Read full article >

In the domain of Information Technology, there is always a lot to learn and implement. However, some technologies have a relatively higher demand than the rest of the others. So here are some popular IT courses for the present and upcoming future: Cloud Computing Cloud Computing is a computing technique which is used...

Read full article >

Hadoop is a framework which has been developed for organizing and analysing big chunks of data for a business. Suppose you have a file larger than your system’s storage capacity and you can’t store it. Hadoop helps in storing bigger files than what could be stored on one particular server. You can therefore store very,...

Read full article >

We have already discussed why and how “Big Data” is all set to revolutionize our lives, professions and the way we communicate. Data is growing by leaps and bounds. The Walmart database handles over 2.6 petabytes of massive data from several million customer transactions every hour. Facebook database, similarly handles...

Read full article >

Looking for Hadoop ?

Learn from the Best Tutors on UrbanPro

Are you a Tutor or Training Institute?

Join UrbanPro Today to find students near you