{
    "info": {
        "author": "Asher Blum",
        "author_email": "asher@wildsparx.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 3 - Alpha",
            "Environment :: Other Environment",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: Unix",
            "Programming Language :: C",
            "Programming Language :: Python",
            "Topic :: Database",
            "Topic :: Database :: Database Engines/Servers",
            "Topic :: Software Development :: Libraries",
            "Topic :: Software Development :: Libraries :: Python Modules"
        ],
        "description": "Introduction\n============\n\nspeedyb lets you create and read constant databases.\n\n  * fast lookups\n  * database cannot be modified\n  * database can be shared by multiple processes without using more memory\n  * fast startup time\n\nLet's say you have a dict like this:\n\n::\n\n    d = {\n      'Alice': '26 Pine Street',\n      'Bob':   '54 Oak Drive'\n    }\n\nYou can write this to a database file:\nspeedyb_writer.dict_to_file(d, 'my.db')\n\nCopyright\n=========\nCopyright 2012 Asher Blum <asher@wildsparx.com>.\nSpeedyb is licensed under the BSD license.\n\nQuestions\n=========\n**Q:** Why not store the dict in a JSON or pickle file and read into a\npython dict?\n\n**A:** First, each process that loads the dict would allocate separate\nmemory, while speedyb shares the memory.  Second, for a large db the load\ntime can be significant, while with speedyb it is essentially instant.\n\n**Q:** How does speedyb compare to Berkeley DB, LevelDB, etc?\n\n**A:** It is significantly faster because it's constant.  \n\n\nInstallation\n============\n\nCheckout the source and run ``python setup.py install``.\n\nUsing speedyb\n=============\n\nCreating a DB\n-------------\n\n::\n\n  import speedyb_writer\n  d = { ... } # data to store\n  speedyb_writer.dict_to_file(d, 'new.db')\n\nThis creates a new database file containing d.  It may be slow.  File\ncreation time goes up linearly with number of keys in d.\n\nReading a DB\n------------\n\n::\n\n  from speedyb_reader import speedyb_reader\n  db = speedyb_reader('tiny.tmp') # open file\n  res = db.get('Alice') # lookup a key\n\nIf the key is not present, res is None.\n\n$Id: README.rst,v 1.2 2012-06-04 04:59:31 asher Exp $",
        "description_content_type": null,
        "docs_url": null,
        "download_url": "http://wildsparx.com/speedyb/speedyb-0.1.tar.gz",
        "downloads": {
            "last_day": -1,
            "last_month": -1,
            "last_week": -1
        },
        "home_page": "http://wildsparx.com/speedyb/",
        "keywords": null,
        "license": "UNKNOWN",
        "maintainer": null,
        "maintainer_email": null,
        "name": "speedyb",
        "package_url": "https://pypi.org/project/speedyb/",
        "platform": "UNKNOWN",
        "project_url": "https://pypi.org/project/speedyb/",
        "project_urls": {
            "Download": "http://wildsparx.com/speedyb/speedyb-0.1.tar.gz",
            "Homepage": "http://wildsparx.com/speedyb/"
        },
        "release_url": "https://pypi.org/project/speedyb/0.1/",
        "requires_dist": null,
        "requires_python": null,
        "summary": "Create and read fast constant databases",
        "version": "0.1"
    },
    "last_serial": 803352,
    "releases": {
        "0.1": []
    },
    "urls": []
}