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Please explain how HDFS provides redundancy for stored data
Solution
HDFS is 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. The
blocks of a file are replicated for fault tolerance. The block size and replication factor are
configurable per file. An application can specify the number of replicas of a file. The replication
factor can be specified at file creation time and can be changed later. Files in HDFS are write-
once and have strictly one writer at any time. The NameNode makes all decisions regarding
replication of blocks. HDFS uses rack-aware replica placement policy. In default configuration
there are total 3 copies of a datablock on HDFS, 2 copies are stored on datanodes on same rack
and 3rd copy on a different rack.

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Please explain how HDFS provides redundancy for stored dataSolutionHDF.docx

  • 1. Please explain how HDFS provides redundancy for stored data Solution HDFS is 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. The blocks of a file are replicated for fault tolerance. The block size and replication factor are configurable per file. An application can specify the number of replicas of a file. The replication factor can be specified at file creation time and can be changed later. Files in HDFS are write- once and have strictly one writer at any time. The NameNode makes all decisions regarding replication of blocks. HDFS uses rack-aware replica placement policy. In default configuration there are total 3 copies of a datablock on HDFS, 2 copies are stored on datanodes on same rack and 3rd copy on a different rack.