iodict 0.0.7a20211217154919

A disk backed dictionary implementation.

IODict

iodict is a thread safe object store which is writting in pure python.

The dictionary implementation follows the Dict API, but stores items using their birthtime allowing users to treat this datastore as a file system backed OrderedDict.

Items in the object store use file system attributes, when available to store key and birthtime information. File system attributes enhance the capability of the object store; however, they're not required. In the event xattrs are not available, file stat is used for file creation time. While stat works, in many cases, item ordering is not guarenteed.

Dictionary Usage

import iodict
data = iodict.IODict(path='/tmp/iodict')  # Could be any path on the file system
data["key"] = "value"
data
{'key': "value"}

dir(data)
['__class__',
 '__delattr__',
 '__delitem__',
 '__dict__',
 '__dir__',
 '__doc__',
 '__enter__',
 '__eq__',
 '__exit__',
 '__format__',
 '__ge__',
 '__getattribute__',
 '__getitem__',
 '__gt__',
 '__hash__',
 '__init__',
 '__init_subclass__',
 '__iter__',
 '__le__',
 '__len__',
 '__lt__',
 '__module__',
 '__ne__',
 '__new__',
 '__reduce__',
 '__reduce_ex__',
 '__repr__',
 '__setattr__',
 '__setitem__',
 '__sizeof__',
 '__str__',
 '__subclasshook__',
 '__weakref__',
 '_db_path',
 '_encoder',
 '_lock',
 'clear',
 'copy',
 'fromkeys',
 'get',
 'items',
 'keys',
 'pop',
 'popitem',
 'setdefault',
 'update',
 'values']

When running in a multiprocessing / threading application, a lock is required to be passed into the iodict class.

import threading

import iodict
data = iodict.IODict(path='/tmp/iodict', lock=threading.Lock)

By default, if no lock is provided, a multiprocessing lock will be created.

The lock object allows the iodict to respect the locking paradigm of the executing application.

Durable Queue Usage

The DurableQueue class is used to create a disk-backed queue which implements the standarad queue.Queue API.

import iodict
q = iodict.DurableQueue(path='/tmp/iodict')  # Could be any path on the file system
q.put("test")
data = q.get()
data
'test'

Flushing Capable Queue Usage

The FlushQueue class is used to extend the capabilities of a standard queue object by providing an extension which can be used to flush the objects within queue to a disk. This is useful in situation when the application needs to halt or otherwise stop working, but the inflight processes need to be saved and resumed at a later time.

import queue

import iodict


class NewQueue(queue.Queue, iodict.FlushQueue):
    def __init__(self, path, lock=None, semaphore=None):
        super().__init__()
        self.path = path
        self.lock = lock
        self.semaphore = semaphore


q = NewQueue(path='/tmp/iodict')  # Could be any path on the file system
q.put("test")
q.qsize()
1
q.flush()
q.qsize()
0
q.ingest()
q.qsize()
1
q.get()
'test'