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www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Agenda for today’s Session
1. Hadoop Components
2. DFS – Distributed File System
3. HDFS Services
4. Blocks in Hadoop
5. Block Replication
6. Rack Awareness
7. HDFS Architecture
8. HDFS Read/Write Mechanism
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Big Data Storage & Computation ?
Storing Big Data was a Problem
Even if a part of Big Data is
Stored- Processing it, took Years
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Solves Big Data Problems
Storing Big Data was no more a Problem
And Processing did not take Years
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop has a Distributed File System.
But Why?
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
DFS – Distributed File System
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
DFS – Distributed File System
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Components
2 main Hadoop Components
Storage Processing
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Hadoop 2.x Daemons
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NameNode and DataNode
NameNode
• Master daemon
• Maintains and Manages DataNodes
• Records metadata e.g. location of blocks stored, the
size of the files, permissions, hierarchy, etc.
• Receives heartbeat and block report from all the
DataNodes
DataNode
• Slave daemons
• Stores actual data
• Serves read and write requests from the clients
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
A Quick Sneak peek of a
Hadoop Cluster Architecture
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Hadoop Cluster Architecture – Master Slave Topology
Master Machine
Slave Machines
distributed
over the cluster
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Let us talk about,
how data is stored in HDFS?
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Blocks
• Each file is stored on HDFS as blocks
• The default size of each block is 128 MB in Apache Hadoop 2.x (64 MB in Apache Hadoop 1.x)
• Let us say, I have a file example.txt of size 248 MB. Below is the representation of how it will be
stored on HDFS
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Blocks
• Each file is stored on HDFS as blocks
• The default size of each block is 128 MB in Apache Hadoop 2.x (64 MB in Apache Hadoop 1.x)
• Let us say, I have a file example.txt of size 248 MB. Below is the representation of how it will be
stored on HDFS
How many blocks will be created if a
file of size 514 MB is copied to HDFS ?
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Blocks
• Each file is stored on HDFS as blocks
• The default size of each block is 128 MB in Apache Hadoop 2.x (64 MB in Apache Hadoop 1.x)
• Let us say, I have a file example.txt of size 248 MB. Below is the representation of how it will be
stored on HDFS
How many blocks will be created if a
file of size 514 MB is copied to HDFS ?
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Is it safe to have just 1 copy of each block?
What do you think?
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Architecture – Block Replication
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
How does Hadoop decide
where to store the replica’s of the blocks created?
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Architecture: Rack Awareness
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Architecture: Rack Awareness
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Architecture: Rack Awareness
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Architecture: Rack Awareness
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Architecture: Rack Awareness
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Architecture: Rack Awareness
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop Architecture: Rack Awareness
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Architecture of HDFS
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Architecture
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Read/Write Mechanism
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Write Mechanism – Pipeline Setup
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Write Mechanism – Writing a Block
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Write Mechanism - Acknowledgment
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Multi-Block Write Mechanism
For Block A: 1A -> 2A -> 3A -> 4A
For Block B: 1B -> 2B -> 3B -> 4B -> 5B -> 6B
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
HDFS Read Mechanism
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Let us see few Hadoop/HDFS Commands
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop/HDFS Commands
Check the version of Hadoop
Command: hadoop version
Check HDFS Health
Command: hdfs fsck /
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop/HDFS Commands
List all the HDFS
files/directories
Command: hdfs dfs –ls /
Copy data from local system to
HDFS
Command: hdfs dfs –put
/home/edureka/test /user
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Hadoop/HDFS Commands
List all the HDFS commands and the syntax to use them
Command: hdfs dfs –help
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Learning Resources
 Hadoop Tutorial: www.edureka.co/blog/hadoop-tutorial
 HDFS Tutorial: www.edureka.co/blog/hdfs-tutorial
 Hadoop Architecture: www.edureka.co/blog/apache-hadoop-hdfs-architecture
www.edureka.co/big-data-and-hadoopEDUREKA HADOOP CERTIFICATION TRAINING
Thank You …
Questions/Queries/Feedback

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