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Commit191f7f8

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Merge pull request#5 from tomxtobin/fix-doc-typos-style
Fix minor documentation typos and style issues
2 parents2d3f347 +14c30e3 commit191f7f8

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‎README.rst‎

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@@ -119,7 +119,7 @@ How to Improve TinyDB Performance
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`````````````````````````````````
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The default storage serializes the data using JSON. To improve performance,
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you can install `ujson<http://pypi.python.org/pypi/ujson>`_ ,a extremely
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you can install `ujson<http://pypi.python.org/pypi/ujson>`_ ,an extremely
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fast JSON implementation. TinyDB will auto-detect and use it if possible.
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In addition, you can wrap the storage with the ``CachingMiddleware`` which

‎docs/extend.rst‎

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@@ -42,15 +42,15 @@ To write a custom storage, subclass :class:`~tinydb.middlewares.Middleware`:
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To access the underlying storage's
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read method, use
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:func:`self.stroage.read <tinydb.storages.Storage.read>`.
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:func:`self.storage.read <tinydb.storages.Storage.read>`.
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..function::write(self, data)
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Modify the way TinyDB writes data.
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To access the underlying storage's
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read method, use
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:func:`self.stroage.read <tinydb.storages.Storage.write>`.
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:func:`self.storage.read <tinydb.storages.Storage.write>`.
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To use your middleware, use:
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‎docs/intro.rst‎

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@@ -40,7 +40,7 @@ TinyDB has been tested with Python 2.6, 2.7, 3.2, 3.3 and pypy.
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Why **not** using TinyDB?
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-----------------------------
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- You need **advanced features** like multiple indexes,a HTTP server,
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- You need **advanced features** like multiple indexes,an HTTP server,
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relationships, or similar.
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- You are really concerned about **high performance** and need a high speed
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database.

‎docs/limitations.rst‎

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@@ -8,23 +8,23 @@ TinyDB serializes all data using the
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`Python JSON<http://docs.python.org/2/library/json.html>`_ module by default.
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It serializes most basic Python data types very well, but fails serializing
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classes and stores ``tuple`` as ``list``. If you need a better
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serializer, you can write your own storage, that e.g. uses the morepowerfull
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serializer, you can write your own storage, that e.g. uses the morepowerful
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(but also slower) `pickle<http://docs.python.org/library/pickle.html>`_ or
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`PyYAML<http://pyyaml.org/>`_.
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Performance
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^^^^^^^^^^^
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TinyDB is NOT designed to be used in environments, where performance might be
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an issue.Altough you can improve the TinyDB performance as described below,
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TinyDB is NOT designed to be used in environments where performance might be
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an issue.Although you can improve the TinyDB performance as described below,
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you should consider using a DB that is optimized for speed likeBuzhug_ or
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CodernityDB_.
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How to Improve TinyDB Performance
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`````````````````````````````````````
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The default storage serializes the data using JSON. To improve performance, you
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can install `ujson<http://pypi.python.org/pypi/ujson>`_ ,a extremely fast
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can install `ujson<http://pypi.python.org/pypi/ujson>`_ ,an extremely fast
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JSON implementation. TinyDB will auto-detect and use it if possible.
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In addition, you can wrap the storage with the

‎docs/usage.rst‎

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3
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Search for all elements, that have the ``value`` key defined:
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Search for all elements that have the ``value`` key defined:
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>>>db.search(where('value'))
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[{'int': 1, 'value': 5.0}]
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read operations and writes data to disk every
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``CachingMiddleware.WRITE_CACHE_SIZE`` write operations.
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- **ConcurrencyMiddleware**: Allows you to use TinyDB in multithreaded
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environments by using a lock on read and write operations making
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environments by using a lock on read and write operations, making
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them virtually atomic.
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..hint::

‎tinydb/queries.py‎

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deftest(self,func):
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"""
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Runan userdefined test function against a dict value.
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Runa user-defined test function against a dict value.
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>>> def test_func(val):
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... return val == 42
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classQueryCustom(AndOrMixin):
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"""
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Runan userdefined test function against a dict value.
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Runa user-defined test function against a dict value.
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See :meth:`Query.test`.
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"""

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