Hadoop Distributed File System
时间: 2024-01-26 21:04:06 浏览: 26
Hadoop Distributed File System (HDFS) is a distributed file system that is designed to store and manage large amounts of data across multiple machines in a Hadoop cluster.
HDFS is based on the Google File System (GFS) and is designed to provide high throughput and data access rates, even when dealing with large files. It is also fault-tolerant, meaning that it can detect and recover from hardware failures automatically.
The basic architecture of HDFS consists of a NameNode and multiple DataNodes. The NameNode is responsible for managing the file system namespace, and the DataNodes are responsible for storing and managing the actual data.
Files in HDFS are split into blocks of a fixed size (usually 128 MB), and each block is replicated across multiple DataNodes to ensure fault tolerance. The NameNode maintains a metadata image of the entire file system, including the location of each block of data.
HDFS is typically used in conjunction with other Hadoop components, such as MapReduce, to perform large-scale data processing and analysis.