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[giant sequoia database Sequoiadb] what scenarios are lzw and snappy compression applied respectively?

2025-02-24 Update From: SLTechnology News&Howtos shulou NAV: SLTechnology News&Howtos > Database >

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[problem description]

Which scenarios are suitable for lzw and snappy compression respectively?

[solution]

The snappy compression algorithm is to compress a single record, and the repeated reading of the data inside the record directly affects the compression ratio. Therefore, when the internal data of the record has a high degree of repetition, such as the field name and field value of each record are similar, good compression performance can be obtained by using snappy algorithm. If the repeatability of internal data is very low, but there is better similarity between records, such as the same field name and similar field value between different records, it is better to use lzw algorithm.

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