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The Difference between Input Split and HDFS Block in Hadoop

When working with Hadoop, it's crucial to understand the distinction between input split and HDFS block.

Input Split

Input split refers to the division of input data into manageable chunks for parallel processing by different nodes in a Hadoop cluster. It ensures efficient data processing and distribution across the cluster.

HDFS Block

HDFS block, on the other hand, is the basic unit of storage in Hadoop Distributed File System (HDFS). It represents the physical division of data on the disk, typically ranging in size from 64MB to 128MB. HDFS block replication ensures fault tolerance and data reliability.

While input split facilitates parallel processing of data, HDFS block governs the storage and replication mechanism within the Hadoop ecosystem.

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