How to choose Debian Hadoop compression format

In Debian system, the selection of Hadoop compression format mainly depends on specific business requirements and data characteristics. Here are some common compression formats and their features to help you make smarter choices.

Compression format and its features

• Gzip :

  • Advantages : High compression rate, fast compression/decompression speed, Hadoop itself supports it, and most Linux systems come with gzip commands, which are easy to use.
  • Disadvantages : Sharding is not supported.
  • Applicable scenarios : It is suitable for scenarios where each file is less than 128MB (HDFS file block size), such as Hive, streaming, sharing files, etc., which are simple and convenient to use.

• Bzip2 :

  • Advantages : The compression effect is obvious and supports sharding.
  • Disadvantages : The compression speed is slow and the decompression speed is slow, which will waste computing performance.
  • Applicable scenarios : It is suitable for scenarios where the compression speed is not high but the compression ratio is high, especially when the output file is large and requires shard support.

• LZO :

  • Advantages : fast compression/decompression speed, reasonable compression rate, and support sharding.
  • Disadvantages : Linux installation is required, and indexes need to be created to support sharding.
  • Applicable scenarios : Suitable for compressed scenarios with large single files.

• Snappy :

  • Advantages : fast compression/decompression speed and reasonable compression rate.
  • Disadvantages : Sharding is not supported.
  • Applicable scenarios : Applicable to the compression of MapReduce intermediate files, and files that enter MapReduce again as the result file.

When choosing a compression format, factors such as compression efficiency, decompression speed, whether sharding is supported, and whether it is compatible with existing systems and tools should be comprehensively considered. For example, if you need to quickly compress and decompress and are dealing with medium-sized files, Gzip may be a good choice. For scenarios where you need to process super large files and want to use shards to improve parallel processing capabilities, LZO or Snappy may be more suitable.

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