PPD

PPD is a NIDS (Non-Indexed Document Storage) database, written in 119 lines of pure Python.

It features:

• Native Python data storage through JSON
• Local database interaction through pre-defined functions
• A fully-working Memcache to avoid unnecessary read-write operations

Simple to Use

PPD has 3 main functions, and 2 worker threads. Using it is simple:

import ppd

db = ppd.db()

kwargs

PPD includes keywords for database customization.

path -- directory where the database is to be stored.
memsize -- size of memory cache.

db = ppd.db(path="./db/", memsize=500)

Push

db.push(dict)

Push takes a dictionary of keys, splits them up, and writes each key to its own unique path within the database.

Pull

db.pull(list)

Pull takes a list of database keys and returns a dictionary of key:value pairs.

Pull One

db.pullOne(string)

PullOne returns the value of a given key.

Drop

db.drop(list)

Drop takes a list of keys and removes them from the database.

Worker Threads

Worker threads prevent data corruption by ensuring PPDF is only accessing one file at a time.

Writer

The writer begins by clearing any cached values in RAM resembling what you've written. It then proceeds to write your data to the hard drive.

Reader

The reader begins by looking through the cache for requested data. If it cannot find it there, it opens the document file on-drive.

Memcache

PPDF has built-in Memcache. This drastically lowers the number of read-write operations to the hard drive, and allows for quicker retrival of data for your application. PPDF's memcache works by saving the last 100 pull operatations into RAM.