Top 20 HDFS Commands You Should Know About [2024]
Updated on Nov 21, 2022 | 7 min read | 9.5k views
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Updated on Nov 21, 2022 | 7 min read | 9.5k views
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Table of Contents
Hadoop is an Apache open-source structure that enables the distributed processing of large-scale data sets over batches of workstations with simple programming patterns. It operates in a distributed storage environment with numerous clusters of computers with the best scalability features. Read more about HDFS and it’s architecture.
1. It Provides a Large-Scale Distributed File System
10k nodes, 100 million files, and 10 PB
2. Optimization of Batch Processing
Provides very comprehensive aggregated capacity
3. Assume Commodity Hardware
It detects hardware failure and recovers it
Possibilities of consuming the existing file if the hardware fails
4. Best Smart Client Intelligence Solution
The client can find the location of the scaffolds
The client can access the data directly from the data nodes
5. Data Consistency
The client can append to the existing files
It is the Write-once-Read-many access model
6. Chunks of File Replication and Usability
Files can be a break in multi-nodes blocks in the 128 MB-block sizes and reuse it
7. Meta-Data in Memory
The entire Meta-data is stored in the main memory
Meta-data is in the list of files, a list of blocks, and a list of data-nodes
Transaction-logs, it records file creation and file-deletions
8. Data-Correctness
It uses the checksum to validate and transform the data.
Its client calculates the checksum per 512 bytes. The client retrieves the data and its checksum from the nodes
If validations fail, the client can use the replica-process.
9. Data-Pipelining Process
Its client begins the initial step of writing from the first nodes
The first data-nodes transmit the data to the next data node to the pipeline
When all models are written, the client moves on to the next step to write the next block in the file
Hadoop Distributed File System (HDFS) is structured into blocks. HDFS architecture is described as a master/slave one. Namenode and data node make up the HDFS architecture.
Here is a list of all the HDFS commands:
1. To get the list of all the files in the HDFS root directory
2. Help
3. Concatenate all the files into a catalogue within a single file
4. Show Disk Usage in Megabytes for the Register Directory: /dir
5. Modifying the replication factor for a file
6. copyFromLocal
7.-rm -r
8. Expunge
9. fs -du
10.mkdir
11.text
12. Stat
13. chmod : (Hadoop chmod Command Usage)
14. appendToFile
15. Checksum
16.Count
17. Find
18. getmerge
19. touchz
20. fs -ls
Read: Hadoop Ecosystem & Components
Hopefully, this article helped you with understanding HDFS commands to execute operations on the Hadoop filesystem. The article has described all the fundamental HDFS commands.
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