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Is using data compression is better practice while storing data in hdfs?

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Hi,

Is using data compression is better practice while storing data in hdfs?, I have found many different views regarding this. Can anyone explain whether it is good practice to use compression or it should be avoided?

1 ACCEPTED SOLUTION

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Rising Star

Hi Rushikesh,

Hadoop jobs are data intensive, compressing data can speed up the I/O operations

- MapReduce jobs are almost always I/O bound

Compressed data can save storage space and speed up data transfers across the network - Capital allocation for hardware can go further

Reduced I/O and network load can bring significant performance improvements

- MapReduce jobs can finish faster overall

On the other hand, CPU utilization and processing time increases during compression and decompression

- Understanding the tradeoff is important for MapReduce pipeline's overall performance

View solution in original post

3 REPLIES 3

avatar
Rising Star

Hi Rushikesh,

Hadoop jobs are data intensive, compressing data can speed up the I/O operations

- MapReduce jobs are almost always I/O bound

Compressed data can save storage space and speed up data transfers across the network - Capital allocation for hardware can go further

Reduced I/O and network load can bring significant performance improvements

- MapReduce jobs can finish faster overall

On the other hand, CPU utilization and processing time increases during compression and decompression

- Understanding the tradeoff is important for MapReduce pipeline's overall performance

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@Karthik Gopal, thanks for sharing this link.