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Hadoop Distributed File System – portable file system

The Hadoop Distributed File System (HDFS) is a distributed, scalable, and portable file system written in Java for the Hadoop framework. It provides high-throughput access to application data, and similar functionality to that provided by the Google File System.

HDFS is highly fault-tolerant and is designed to be deployed on low-cost hardware. HDFS is suitable for applications that have large data sets. HDFS relaxes a few POSIX requirements to enable streaming access to file system data.

Each node in a Hadoop instance typically has a single namenode; a cluster of datanodes form the HDFS cluster. The situation is typical because each node does not require a datanode to be present. Each datanode serves up blocks of data over the network using a block protocol specific to HDFS.

HDFS is designed to scale to tens of petabytes of storage and runs on top of the filesystems of the underlying operating systems. It is a sub-project of the Apache Hadoop project.

Features include:

  • Supports very large files.
  • Master/slave architecture.
  • Simple Coherency Model.
  • Data access via MapReduce streaming.
  • Easily portable from one platform to another.
  • Supports a traditional hierarchical file organization.
  • Designed to reliably store very large files across machines in a large cluster. It stores each file as a sequence of blocks; all blocks in a file except the last block are the same size.
  • Blocks of a file are replicated for fault tolerance across multiple hosts, avoiding the need for RAID storage.
  • Safemode.
  • Persistence of File System Metadata.
  • HDFS communication protocols are layered on top of the TCP/IP protocol.
  • Compatible with data rebalancing schemes.
  • Checksum checking on the contents of HDFS files.
  • Snapshots.

Website: hadoop.apache.org
Support: Users Guide
Developer: The Apache Software Foundation
License: Apache License 2.0

HDFS is written in Java. Learn Java with our recommended free books and free tutorials.

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