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  • Home > Linux > Programming > Libraries

    tokyocabinet-python 0.5.0

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    Category:
    Malek Hadj-Ali | More programs
    GPL / FREE
    May 21st, 2010, 14:42 GMT [view history]
    ROOT / Programming / Libraries

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    tokyocabinet-python description

    Python Tokyo Cabinet interface

    Tokyo Cabinet is a library of routines for managing a database. The database is a simple data file containing records, each is a pair of a key and a value. Every key and value is serial bytes with variable length. Both binary data and character string can be used as a key and a value. There is neither concept of data tables nor data types. Records are organized in hash table, B+ tree, or fixed-length array.

    Tokyo Cabinet is developed as the successor of GDBM and QDBM on the following purposes. They are achieved and Tokyo Cabinet replaces conventional DBM products.

    - improves space efficiency: smaller size of database file.
    - improves time efficiency: faster processing speed.
    - improves parallelism: higher performance in multi-thread environment.
    - improves usability: simplified API.
    - improves robustness: database file is not corrupted even under catastrophic situation.
    - supports 64-bit architecture: enormous memory space and database file are available.

    tokyocabinet-python is a Pythonic interface for the Tokyo Cabinet library.


    Product's homepage

    Requirements:

    · Python
    · Tokyo Cabinet

    What's New in This Release: [ read full changelog ]

    · improves space efficiency: smaller size of database file.
    · improves time efficiency: faster processing speed.
    · improves parallelism: higher performance in multi-thread environment.
    · improves usability: simplified API.
    · improves robustness: database file is not corrupted even under catastrophic
    · situation.
    · supports 64-bit architecture: enormous memory space and database file are
    · available.

      


    TAGS:

    Tokyo Cabinet | Python interface | Python library | Tokyo | Cabinet | interface



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