Question

Explain the Hadoop architecture with a focus on HDFS and the master/slave architecture. How do NameNode and DataNodes work together to store and manage large datasets? Provide a basic example of this storage process.

18 Apr 2025
Answer :
Word Count : 1236

Hadoop is an open-source framework that enables the distributed processing of large datasets across clusters of computers using simple programming models. It is designed to scale up from a single server to thousands of machines, each offering local computation and storage. The Hadoop architecture is fundamentally based on a master/slave design, which helps in managing and storing big data effectively. One of the core components of this architecture is the Hadoop Distributed File System (HDFS), which is responsible for the distributed storage part of the system. HDFS, together with the MapReduce programming model and the YARN resource management layer, forms the backbone of the Hadoop ecosystem. This answer primarily focuses on the architecture of HDFS and the master/slave interaction between the NameNode and DataNodes.

Hadoop Architecture Overview

The Hadoop architecture is divided into the following main layers:

  1. HDFS (Hadoop Distributed File System) – Storage layer

  2. MapReduce or YARN – Processing layer

  3. Common utilities – Shared libraries and utilities needed by other Hadoop modules

HDFS is designed to store very large files across machines in a large cluster. It achieves reliability by replicating the data across multiple nodes in the cluster. The data is split into blocks (typically 128 MB or 256 MB in size), and each block is replicated to multiple nodes to ensure fault tolerance.

Master/Slave Architecture in HDFS

HDFS follows a master/slave architecture, where:

  • NameNode acts as the master.

  • DataNodes act as slaves.

There is usually one NameNode and many DataNodes in a cluster.

1. NameNode (Master)

The NameNode is the centerpiece of HDFS. It is responsible for managing the filesystem namespace and controlling access to files by clients. Specifically, it:

  • Maintains the metadata of all files and directories.

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