Big Data – How Data is Retrieved and Written from/to HDFS?

This blog represents my notes on how data is read and written from/to HDFS. Please feel free to suggest if it is done otherwise.

Following are steps using which clients retrieve data from HDFS:

1. Clients ask Namenode for a file/data block
2. Name-node returns data node information (ID) where the file/data blocks are located
3. Client retrieves data directly from the data node.

Following are steps in which data is written to HDFS:

1. Clients ask Name-node that they want to write one or more data blocks pertaining to a file.
2. Name-node returns data nodes information to which these data blocks needs to be written
3. Clients write each data block to the data nodes suggested.
4. The data nodes then replicates the data block to other data nodes
5. Informs Namenode about the write.
6. Name-node commits EditLog

Following diagrams represents the data is read/written from/to HDFS.

Following depicts how files are written to HDFS.

• About
• Latest Posts

Ajitesh Kumar

Ajitesh has been recently working in the area of AI and machine learning. Currently, his research area includes Safe & Quality AI. In addition, he is also passionate about various different technologies including programming languages such as Java/JEE, Javascript and technologies such as Blockchain, mobile computing, cloud-native technologies, application security, cloud computing platforms, big data etc.

He has also authored the book, Building Web Apps with Spring 5 and Angular.

Latest posts by Ajitesh Kumar (see all)

• Python – How to Create Dataframe using Numpy Array - December 15, 2019
• Hypergeometric Distribution Explained with 10+ Examples - December 14, 2019
• Binomial Distribution with Python Code Examples - December 14, 2019