{
    "info": {
        "author": "Peter Wang",
        "author_email": "wangxu198709@gmail.com",
        "bugtrack_url": null,
        "classifiers": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: BSD License",
            "Operating System :: OS Independent",
            "Programming Language :: Python",
            "Programming Language :: Python :: 2",
            "Programming Language :: Python :: 2.7",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.4",
            "Programming Language :: Python :: 3.5",
            "Programming Language :: Python :: 3.6",
            "Programming Language :: Python :: 3.7",
            "Programming Language :: Python :: Implementation",
            "Topic :: Software Development :: Libraries"
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        "description": "persist-queue - A thread-safe, disk-based queue for Python\n==========================================================\n\n.. image:: https://img.shields.io/circleci/project/github/peter-wangxu/persist-queue/master.svg?label=Linux%20%26%20Mac\n    :target: https://circleci.com/gh/peter-wangxu/persist-queue\n\n.. image:: https://img.shields.io/appveyor/ci/peter-wangxu/persist-queue/master.svg?label=Windows\n    :target: https://ci.appveyor.com/project/peter-wangxu/persist-queue\n\n.. image:: https://img.shields.io/codecov/c/github/peter-wangxu/persist-queue/master.svg\n    :target: https://codecov.io/gh/peter-wangxu/persist-queue\n\n.. image:: https://img.shields.io/pypi/v/persist-queue.svg\n    :target: https://pypi.python.org/pypi/persist-queue\n\n``persist-queue`` implements a file-based queue and a serial of sqlite3-based queues. The goals is to achieve following requirements:\n\n* Disk-based: each queued item should be stored in disk in case of any crash.\n* Thread-safe: can be used by multi-threaded producers and multi-threaded consumers.\n* Recoverable: Items can be read after process restart.\n* Green-compatible: can be used in ``greenlet`` or ``eventlet`` environment.\n\nWhile *queuelib* and *python-pqueue* cannot fulfil all of above. After some try, I found it's hard to achieve based on their current\nimplementation without huge code change. this is the motivation to start this project.\n\nBy default, *persist-queue* use *pickle* object serialization module to support object instances.\nMost built-in type, like `int`, `dict`, `list` are able to be persisted by `persist-queue` directly, to support customized objects,\nplease refer to `Pickling and unpickling extension types(Python2) <https://docs.python.org/2/library/pickle.html#pickling-and-unpickling-normal-class-instances>`_\nand `Pickling Class Instances(Python3) <https://docs.python.org/3/library/pickle.html#pickling-class-instances>`_\n\nThis project is based on the achievements of `python-pqueue <https://github.com/balena/python-pqueue>`_\nand `queuelib <https://github.com/scrapy/queuelib>`_\n\nRequirements\n------------\n* Python 2.7 or Python 3.x.\n* Full support for Linux.\n* Windows support (with `Caution`_ if ``persistqueue.Queue`` is used).\n\nFeatures\n--------\n\n- Multiple platforms support: Linux, macOS, Windows\n- Pure python\n- Both filed based queues and sqlite3 based queues are supported\n- Filed based queue: multiple serialization protocol support: pickle(default), msgpack, json\n\n\n\nInstallation\n------------\n\nfrom pypi\n^^^^^^^^^\n\n.. code-block:: console\n\n    pip install persist-queue\n    # for msgpack support, use following command\n    pip install persist-queue[extra]\n\n\nfrom source code\n^^^^^^^^^^^^^^^^\n\n.. code-block:: console\n\n    git clone https://github.com/peter-wangxu/persist-queue\n    cd persist-queue\n    python setup.py install\n\n\nBenchmark\n---------\n\nHere are the results for writing/reading **1000** items to the disk comparing the sqlite3 and file queue.\n\n- Windows\n    - OS: Windows 10\n    - Disk: SATA3 SSD\n    - RAM: 16 GiB\n\n+---------------+---------+-------------------------+----------------------------+\n|               | Write   | Write/Read(1 task_done) | Write/Read(many task_done) |\n+---------------+---------+-------------------------+----------------------------+\n| SQLite3 Queue | 1.8880  | 2.0290                  | 3.5940                     |\n+---------------+---------+-------------------------+----------------------------+\n| File Queue    | 4.9520  | 5.0560                  | 8.4900                     |\n+---------------+---------+-------------------------+----------------------------+\n\n**windows note**\nPerformance of Windows File Queue has dramatic improvement since `v0.4.1` due to the\natomic renaming support(3-4X faster)\n\n- Linux\n    - OS: Ubuntu 16.04 (VM)\n    - Disk: SATA3 SSD\n    - RAM:  4 GiB\n\n+---------------+--------+-------------------------+----------------------------+\n|               | Write  | Write/Read(1 task_done) | Write/Read(many task_done) |\n+---------------+--------+-------------------------+----------------------------+\n| SQLite3 Queue | 1.8282 | 1.8075                  | 2.8639                     |\n+---------------+--------+-------------------------+----------------------------+\n| File Queue    | 0.9123 | 1.0411                  | 2.5104                     |\n+---------------+--------+-------------------------+----------------------------+\n\n- Mac OS\n    - OS: 10.14 (macOS Mojave)\n    - Disk: PCIe SSD\n    - RAM:  16 GiB\n\n+---------------+--------+-------------------------+----------------------------+\n|               | Write  | Write/Read(1 task_done) | Write/Read(many task_done) |\n+---------------+--------+-------------------------+----------------------------+\n| SQLite3 Queue | 0.1879 | 0.2115                  | 0.3147                     |\n+---------------+--------+-------------------------+----------------------------+\n| File Queue    | 0.5158 | 0.5357                  | 1.0446                     |\n+---------------+--------+-------------------------+----------------------------+\n\n**note**\n\n- The value above is seconds for reading/writing *1000* items, the less the better.\n- Above result was got from:\n\n.. code-block:: console\n\n    python benchmark/run_benchmark.py 1000\n\n\nTo see the real performance on your host, run the script under ``benchmark/run_benchmark.py``:\n\n.. code-block:: console\n\n    python benchmark/run_benchmark.py <COUNT, default to 100>\n\n\nExamples\n--------\n\n\nExample usage with a SQLite3 based queue\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n.. code-block:: python\n\n    >>> import persistqueue\n    >>> q = persistqueue.SQLiteQueue('mypath', auto_commit=True)\n    >>> q.put('str1')\n    >>> q.put('str2')\n    >>> q.put('str3')\n    >>> q.get()\n    'str1'\n    >>> del q\n\n\nClose the console, and then recreate the queue:\n\n.. code-block:: python\n\n   >>> import persistqueue\n   >>> q = persistqueue.SQLiteQueue('mypath', auto_commit=True)\n   >>> q.get()\n   'str2'\n   >>>\n\n\nExample usage of SQLite3 based ``UniqueQ``\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nThis queue does not allow duplicate items.\n\n.. code-block:: python\n\n   >>> import persistqueue\n   >>> q = persistqueue.UniqueQ('mypath')\n   >>> q.put('str1')\n   >>> q.put('str1')\n   >>> q.size\n   1\n   >>> q.put('str2')\n   >>> q.size\n   2\n   >>>\n\nExample usage of SQLite3 based ``SQLiteAckQueue``\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\nThe core functions:\n\n- ``get``: get from queue and mark item as unack\n- ``ack``: mark item as acked\n- ``nack``: there might be something wrong with current consumer, so mark item as ready and new consumer will get it\n- ``ack_failed``: there might be something wrong during process, so just mark item as failed.\n\n.. code-block:: python\n\n   >>> import persistqueue\n   >>> ackq = persistqueue.SQLiteAckQueue('path')\n   >>> ackq.put('str1')\n   >>> item = ackq.get()\n   >>> # Do something with the item\n   >>> ackq.ack(item) # If done with the item\n   >>> ackq.nack(item) # Else mark item as `nack` so that it can be proceeded again by any worker\n   >>> ackq.ack_failed(item) # Or else mark item as `ack_failed` to discard this item\n\n\n\nNote: \n1. The SQLiteAckQueue always uses \"auto_commit=True\".\n2. The Queue could be set in non-block style, e.g. \"SQLiteAckQueue.get(block=False, timeout=5)\".\n\nExample usage with a file based queue\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n.. code-block:: python\n\n    >>> from persistqueue import Queue\n    >>> q = Queue(\"mypath\")\n    >>> q.put('a')\n    >>> q.put('b')\n    >>> q.put('c')\n    >>> q.get()\n    'a'\n    >>> q.task_done()\n\nClose the python console, and then we restart the queue from the same path,\n\n.. code-block:: python\n\n    >>> from persistqueue import Queue\n    >>> q = Queue('mypath')\n    >>> q.get()\n    'b'\n    >>> q.task_done()\n\n\n\nExample usage with a SQLite3 based dict\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n.. code-block:: python\n\n    >>> from persisitqueue import PDict\n    >>> q = PDict(\"testpath\", \"testname\")\n    >>> q['key1'] = 123\n    >>> q['key2'] = 321\n    >>> q['key1']\n    123\n    >>> len(q)\n    2\n    >>> del q['key1']\n    >>> q['key1']\n    Traceback (most recent call last):\n      File \"<stdin>\", line 1, in <module>\n      File \"persistqueue\\pdict.py\", line 58, in __getitem__\n        raise KeyError('Key: {} not exists.'.format(item))\n    KeyError: 'Key: key1 not exists.'\n\nClose the console and restart the PDict\n\n\n.. code-block:: python\n\n    >>> from persisitqueue import PDict\n    >>> q = PDict(\"testpath\", \"testname\")\n    >>> q['key2']\n    321\n\n\nMulti-thread usage for **SQLite3** based queue\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n.. code-block:: python\n\n    from persistqueue import FIFOSQLiteQueue\n\n    q = FIFOSQLiteQueue(path=\"./test\", multithreading=True)\n\n    def worker():\n        while True:\n            item = q.get()\n            do_work(item)\n\n    for i in range(num_worker_threads):\n         t = Thread(target=worker)\n         t.daemon = True\n         t.start()\n\n    for item in source():\n        q.put(item)\n\n\nmulti-thread usage for **Queue**\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n\n.. code-block:: python\n\n    from persistqueue import Queue\n\n    q = Queue()\n\n    def worker():\n        while True:\n            item = q.get()\n            do_work(item)\n            q.task_done()\n\n    for i in range(num_worker_threads):\n         t = Thread(target=worker)\n         t.daemon = True\n         t.start()\n\n    for item in source():\n        q.put(item)\n\n    q.join()       # block until all tasks are done\n\n\n**note**\n\nDue to the limitation of file queue described in issue `#89 <https://github.com/peter-wangxu/persist-queue/issues/89>`_,\n`task_done` in one thread may acknowledge items in other threads which should not be. Considering the `SQLiteAckQueue` if you have such requirement.\n\n\nSerialization via msgpack/json\n^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^\n- v0.4.1: Currently only available for file based Queue**\n- v0.4.2: Also available for SQLite3 based Queues**\n\n.. code-block:: python\n\n    >>> from persistqueue\n    >>> q = persistqueue.Queue('mypath', persistqueue.serializers.msgpack)\n    >>> # via json\n    >>> # q = Queue('mypath', persistqueue.serializers.json)\n    >>> q.get()\n    'b'\n    >>> q.task_done()\n\nTips\n----\n\n``task_done`` is required both for file based queue and SQLite3 based queue (when ``auto_commit=False``)\nto persist the cursor of next ``get`` to the disk.\n\n\nPerformance impact\n------------------\n\n- **WAL**\n\n  Starting on v0.3.2, the ``persistqueue`` is leveraging the sqlite3 builtin feature\n  `WAL <https://www.sqlite.org/wal.html>`_ which can improve the performance\n  significantly, a general testing indicates that ``persistqueue`` is 2-4 times\n  faster than previous version.\n\n- **auto_commit=False**\n\n  Since persistqueue v0.3.0, a new parameter ``auto_commit`` is introduced to tweak\n  the performance for sqlite3 based queues as needed. When specify ``auto_commit=False``, user\n  needs to perform ``queue.task_done()`` to persist the changes made to the disk since\n  last ``task_done`` invocation.\n\n- **pickle protocol selection**\n\n  From v0.3.6, the ``persistqueue`` will select ``Protocol version 2`` for python2 and ``Protocol version 4`` for python3\n  respectively. This selection only happens when the directory is not present when initializing the queue.\n\nTests\n-----\n\n*persist-queue* use ``tox`` to trigger tests.\n\n- Unit test\n\n.. code-block:: console\n\n    tox -e <PYTHON_VERSION>\n\nAvailable ``<PYTHON_VERSION>``: ``py27``, ``py34``, ``py35``, ``py36``, ``py37``\n\n\n- PEP8 check\n\n.. code-block:: console\n\n   tox -e pep8\n\n\n`pyenv <https://github.com/pyenv/pyenv>`_ is usually a helpful tool to manage multiple versions of Python.\n\nCaution\n-------\n\nCurrently, the atomic operation is supported on Windows while still in experimental,\nThat's saying, the data in ``persistqueue.Queue`` could be in unreadable state when an incidental failure occurs during ``Queue.task_done``.\n\n**DO NOT put any critical data on persistqueue.queue on Windows**.\n\n\nContribution\n------------\n\nSimply fork this repo and send PR for your code change(also tests to cover your change), remember to give a title and description of your PR. I am willing to\nenhance this project with you :).\n\n\nLicense\n-------\n\n`BSD <LICENSE>`_\n\nContributors\n------------\n\n`Contributors <https://github.com/peter-wangxu/persist-queue/graphs/contributors>`_\n\nFAQ\n---\n\n* ``sqlite3.OperationalError: database is locked`` is raised.\n\npersistqueue open 2 connections for the db if ``multithreading=True``, the\nSQLite database is locked until that transaction is committed. The ``timeout``\nparameter specifies how long the connection should wait for the lock to go away\nuntil raising an exception. Default time is **10**, increase ``timeout``\nwhen creating the queue if above error occurs.\n\n* sqlite3 based queues are not thread-safe.\n\nThe sqlite3 queues are heavily tested under multi-threading environment, if you find it's not thread-safe, please\nmake sure you set the ``multithreading=True`` when initializing the queue before submitting new issue:).\n\n\n\n",
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