Tar Command Compress

With the development of Linux open source system platform, more and more open-source software can be provided to linuxhttp://www.aliyun.com/zixun/aggregation/6579.html "> users, so as to make more files" Devouring "The hard disk space. As an excellent open source operating system, how to efficiently manage the software in the system is a very important problem. Therefore, Linux provides a variety of methods, users can easily manage the software according to the actual situation. Be more than ...

Compress,uncompress This command to compress or decompress data. Gzip,gunzip This command is used to compress or extract files, where gzip is a compression and decompression command that is used frequently in Linux systems and is easy to use. The rpm RPM command is used to start the RPM package management operation. The Tar tar command is used to start the File Packager program. Unzip this command is used to decompress files with the. zip extension, that is, you can unzip Windows under Linux with WinZip compression ...

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This is the rookie must be 96 kinds of Linux operating skills of the next chapter, if you do not understand the content of the next article, you can click on the "rookie must have 96 Linux operating skills (on)" link to view! 51. display file type use command file to let you know whether a file is an elf-formatted executable, a shell script file, or any other format. File filehttp://www.aliyun.com/zixun/aggregation/11696 ...

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Patool is a portable command line compressed File Manager. For the creation, extraction, testing, and listing of various types of compressed files. The Patool advantage is that it can simply process the archive without having to memorize a large number of programs and options, and the archive format is an extension of the file (1) program as the archive file. Patool supported formats include: 7z (. 7z), Aces (. Aces), ALZip (. Alz), AR (. a), ARC (. arc), ARJ (. ARJ), BZIP2 (. bz2 ...).

Using Lzo compression algorithms in Hadoop reduces the size of the data and the disk read and write time of the data, and Lzo is based on block chunking so that he allows the data to be decomposed into chunk, which is handled in parallel by Hadoop. 　　This feature allows Lzo to become a very handy compression format for Hadoop. Lzo itself is not splitable, so when the data is in text format, the data compressed using Lzo as the job input is a file as a map. But s ...