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Research on the effect of compression on Hadoop performance

Source: Internet
Author: User
Keywords Hadoop
Tags cpu data data processing disk hadoop help help users how to
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Research on the effect of compression on Hadoop performance

Shanglihui, Miuli

Compression is an important method of I/O tuning, which reduces the I/O calculation load, thereby improving I/O performance. Today, disk I/O can never grow faster than the CPU speed of Moore's law, so I/O is often a bottleneck in data processing. In Hadoop, how to use compression for I/O tuning has not been fully studied. In this paper, a compression usage strategy is obtained to help users of Hadoop to determine when and where to use compression and what compression to use. Based on this strategy, some Hadoop applications can increase efficiency by up to 65% after a reasonable use of compression.


Research on the effect of compression on Hadoop performance

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