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Anand L. Kulkarni.
Hadoop Distributed File System
A Presentation By ,
28 August 2015Hadoop Distributed File System 2
 Need for large data processing –
 Challenges at large scale –
 What is Distributed File System(DFS)?
 “Framework for running [distributed]
applications on large cluster built of commodity
hardware“ .
- From Hadoop Wiki.
 Originally created by Doug Cutting .
 Named the project after his son’s name.
 Inspired by Google’s architecture: Map Reduce
and GFS
28 August 2015Hadoop Distributed File System 3
 The name “Hadoop” has now evolved to cover a
family of products, but at its core, it’s essentially just
the
 - MapReduce programming paradigm and
 - A distributed file system(HDFS).
28 August 2015Hadoop Distributed File System 4
28 August 2015Hadoop Distributed File System 5
28 August 2015Hadoop Distributed File System 6
 Master/slave architecture
 Fault tolerant via replication .
 Optimized for larger files.
 Hardware failures assumed in
design.
Name Node
(Master)
(Slaves)
28 August 2015Hadoop Distributed File System 7
 Written in Java.
 Focus on streaming data
(High throughput > low-latency)
 Designed to run on commodity hardware
 HDFS is a File System, not a DBMS.
Block Data Node
Name
Node
Checkpoint
Node
Backup
Node
28 August 2015Hadoop Distributed File System 8
28 August 2015Hadoop Distributed File System 9
Name Node Backup Node
Data Node Data Node Data Node Data NodeData Node
( Replication, Heartbeats,
balancing )
(Namespace backups)
(Namespace , Metadata
operations)
(Writes to local disks)
28 August 2015Hadoop Distributed File System 10
Name Node Backup Node
10010011001
01001010100
10101010101
00101010010
10101010100
10101010101
010101
File
HDFS
Client
Data Node Data Node Data Node Data NodeData Node
( File locations, block size, file system
operations )
(Data transfer)
Data Node Data Node Data Node Data NodeData Node
28 August 2015Hadoop Distributed File System 11
Name Node Backup Node
10010011001
01001010100
10101010101
00101010010
10101010100
10101010101
010101
File
HDFS
Client
28 August 2015Hadoop Distributed File System 12
Data Node Data Node Data Node Data NodeData Node
Name Node Backup Node
10010011001
01001010100
10101010101
00101010010
10101010100
10101010101
010101
File
HDFS
Client
(Return locations of blocks for
a file.)
28 August 2015Hadoop Distributed File System 13
 The Files system namespace
 Replica management
 Replica Selection
 Safe mode
28 August 2015Hadoop Distributed File System 14
 The Persistence Of File System Metadata
 Robustness
 Space Reclamation-
◦ File Deletes And Undeletes
◦ Decrease Replication Factor
28 August 2015Hadoop Distributed File System 15
 Name Node Recovery.
 Data Node Recovery.
 Metadata Disk Failure.
28 August 2015Hadoop Distributed File System 16
Name Node Backup Node
Data Node Data Node Data Node
Data Node
Data Node
28 August 2015Hadoop Distributed File System 17
Data Node Data Node Data Node Data NodeData Node
Name Node Backup Node
28 August 2015Hadoop Distributed File System 18
Scalability of Name node.
Automation of Name node recovery.
28 August 2015Hadoop Distributed File System 19

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Hadoop Distributed File System

  • 1. Anand L. Kulkarni. Hadoop Distributed File System A Presentation By ,
  • 2. 28 August 2015Hadoop Distributed File System 2  Need for large data processing –  Challenges at large scale –  What is Distributed File System(DFS)?
  • 3.  “Framework for running [distributed] applications on large cluster built of commodity hardware“ . - From Hadoop Wiki.  Originally created by Doug Cutting .  Named the project after his son’s name.  Inspired by Google’s architecture: Map Reduce and GFS 28 August 2015Hadoop Distributed File System 3
  • 4.  The name “Hadoop” has now evolved to cover a family of products, but at its core, it’s essentially just the  - MapReduce programming paradigm and  - A distributed file system(HDFS). 28 August 2015Hadoop Distributed File System 4
  • 5. 28 August 2015Hadoop Distributed File System 5
  • 6. 28 August 2015Hadoop Distributed File System 6  Master/slave architecture  Fault tolerant via replication .  Optimized for larger files.  Hardware failures assumed in design. Name Node (Master) (Slaves)
  • 7. 28 August 2015Hadoop Distributed File System 7  Written in Java.  Focus on streaming data (High throughput > low-latency)  Designed to run on commodity hardware  HDFS is a File System, not a DBMS.
  • 8. Block Data Node Name Node Checkpoint Node Backup Node 28 August 2015Hadoop Distributed File System 8
  • 9. 28 August 2015Hadoop Distributed File System 9 Name Node Backup Node Data Node Data Node Data Node Data NodeData Node ( Replication, Heartbeats, balancing ) (Namespace backups) (Namespace , Metadata operations) (Writes to local disks)
  • 10. 28 August 2015Hadoop Distributed File System 10 Name Node Backup Node 10010011001 01001010100 10101010101 00101010010 10101010100 10101010101 010101 File HDFS Client Data Node Data Node Data Node Data NodeData Node ( File locations, block size, file system operations ) (Data transfer)
  • 11. Data Node Data Node Data Node Data NodeData Node 28 August 2015Hadoop Distributed File System 11 Name Node Backup Node 10010011001 01001010100 10101010101 00101010010 10101010100 10101010101 010101 File HDFS Client
  • 12. 28 August 2015Hadoop Distributed File System 12 Data Node Data Node Data Node Data NodeData Node Name Node Backup Node 10010011001 01001010100 10101010101 00101010010 10101010100 10101010101 010101 File HDFS Client (Return locations of blocks for a file.)
  • 13. 28 August 2015Hadoop Distributed File System 13  The Files system namespace  Replica management  Replica Selection  Safe mode
  • 14. 28 August 2015Hadoop Distributed File System 14  The Persistence Of File System Metadata  Robustness  Space Reclamation- ◦ File Deletes And Undeletes ◦ Decrease Replication Factor
  • 15. 28 August 2015Hadoop Distributed File System 15  Name Node Recovery.  Data Node Recovery.  Metadata Disk Failure.
  • 16. 28 August 2015Hadoop Distributed File System 16 Name Node Backup Node Data Node Data Node Data Node Data Node Data Node
  • 17. 28 August 2015Hadoop Distributed File System 17 Data Node Data Node Data Node Data NodeData Node Name Node Backup Node
  • 18. 28 August 2015Hadoop Distributed File System 18 Scalability of Name node. Automation of Name node recovery.
  • 19. 28 August 2015Hadoop Distributed File System 19