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Hadoop Distributed File System (HDFS)

Hadoop's core storage system

Learn to store and manage large datasets in distributed storage using Hadoop's core storage system - HDFS.
5 minutes 5 Questions

HDFS (Hadoop Distributed File System) is the primary storage system for Hadoop applications, designed specifically to run on commodity hardware and handle large datasets. It follows a master-slave architecture with a NameNode (master) that manages the file system metadata and DataNodes (slaves) tha…

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Big Data Engineer - Hadoop Distributed File System (HDFS) Example Questions

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Question 1

What is a block in HDFS?

Correct Answer: A fixed-size chunk of data stored on a DataNode

A block in HDFS is a fixed-size chunk of data that is stored on a DataNode. The size of each block is configurable and defaults to 64MB. Each block is replicated across multiple DataNodes to ensure data reliability and availability.

Question 2

What is the default replication factor in HDFS?

Correct Answer: 3

By default, HDFS will store three replicas of each block. This provides a degree of data redundancy and ensures that data can still be accessed if one or two DataNodes fail.

Question 3

What is the purpose of the HDFS CheckpointNode?

Correct Answer: The HDFS CheckpointNode periodically creates a snapshot of the file system metadata and saves it to a local file system, which can be used to recover the NameNode in the event of a failure.

The HDFS CheckpointNode periodically creates a snapshot of the file system metadata and saves it to a local file system. This metadata includes the file system namespace, block locations, and the transaction log. The CheckpointNode serves as a backup for the NameNode in the event of a failure, providing a checkpoint that can be used to recover the file system metadata.

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