Moved sections from user guide to separate pages
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docs/guide/connecting.rst
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docs/guide/connecting.rst
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.. _guide-connecting:
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=====================
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Connecting to MongoDB
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=====================
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To connect to a running instance of :program:`mongod`, use the
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:func:`~mongoengine.connect` function. The first argument is the name of the
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database to connect to. If the database does not exist, it will be created. If
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the database requires authentication, :attr:`username` and :attr:`password`
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arguments may be provided::
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from mongoengine import connect
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connect('project1', username='webapp', password='pwd123')
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By default, MongoEngine assumes that the :program:`mongod` instance is running
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on **localhost** on port **27017**. If MongoDB is running elsewhere, you may
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provide :attr:`host` and :attr:`port` arguments to
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:func:`~mongoengine.connect`::
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connect('project1', host='192.168.1.35', port=12345)
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238
docs/guide/defining-documents.rst
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docs/guide/defining-documents.rst
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==================
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Defining documents
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==================
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In MongoDB, a **document** is roughly equivalent to a **row** in an RDBMS. When
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working with relational databases, rows are stored in **tables**, which have a
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strict **schema** that the rows follow. MongoDB stores documents in
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**collections** rather than tables - the principle difference is that no schema
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is enforced at a database level.
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Defining a document's schema
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============================
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MongoEngine allows you to define schemata for documents as this helps to reduce
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coding errors, and allows for utility methods to be defined on fields which may
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be present.
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To define a schema for a document, create a class that inherits from
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:class:`~mongoengine.Document`. Fields are specified by adding **field
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objects** as class attributes to the document class::
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from mongoengine import *
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import datetime
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class Page(Document):
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title = StringField(max_length=200, required=True)
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date_modified = DateTimeField(default=datetime.now)
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Fields
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======
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By default, fields are not required. To make a field mandatory, set the
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:attr:`required` keyword argument of a field to ``True``. Fields also may have
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validation constraints available (such as :attr:`max_length` in the example
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above). Fields may also take default values, which will be used if a value is
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not provided. Default values may optionally be a callable, which will be called
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to retrieve the value (such as in the above example). The field types available
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are as follows:
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* :class:`~mongoengine.StringField`
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* :class:`~mongoengine.IntField`
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* :class:`~mongoengine.FloatField`
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* :class:`~mongoengine.DateTimeField`
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* :class:`~mongoengine.ListField`
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* :class:`~mongoengine.ObjectIdField`
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* :class:`~mongoengine.EmbeddedDocumentField`
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* :class:`~mongoengine.ReferenceField`
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List fields
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^^^^^^^^^^^
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MongoDB allows the storage of lists of items. To add a list of items to a
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:class:`~mongoengine.Document`, use the :class:`~mongoengine.ListField` field
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type. :class:`~mongoengine.ListField` takes another field object as its first
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argument, which specifies which type elements may be stored within the list::
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class Page(Document):
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tags = ListField(StringField(max_length=50))
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Embedded documents
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^^^^^^^^^^^^^^^^^^
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MongoDB has the ability to embed documents within other documents. Schemata may
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be defined for these embedded documents, just as they may be for regular
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documents. To create an embedded document, just define a document as usual, but
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inherit from :class:`~mongoengine.EmbeddedDocument` rather than
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:class:`~mongoengine.Document`::
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class Comment(EmbeddedDocument):
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content = StringField()
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To embed the document within another document, use the
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:class:`~mongoengine.EmbeddedDocumentField` field type, providing the embedded
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document class as the first argument::
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class Page(Document):
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comments = ListField(EmbeddedDocumentField(Comment))
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comment1 = Comment('Good work!')
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comment2 = Comment('Nice article!')
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page = Page(comments=[comment1, comment2])
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Reference fields
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^^^^^^^^^^^^^^^^
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References may be stored to other documents in the database using the
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:class:`~mongoengine.ReferenceField`. Pass in another document class as the
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first argument to the constructor, then simply assign document objects to the
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field::
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class User(Document):
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name = StringField()
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class Page(Document):
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content = StringField()
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author = ReferenceField(User)
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john = User(name="John Smith")
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john.save()
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post = Page(content="Test Page")
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post.author = john
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post.save()
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The :class:`User` object is automatically turned into a reference behind the
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scenes, and dereferenced when the :class:`Page` object is retrieved.
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Uniqueness constraints
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^^^^^^^^^^^^^^^^^^^^^^
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MongoEngine allows you to specify that a field should be unique across a
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collection by providing ``unique=True`` to a :class:`~mongoengine.Field`\ 's
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constructor. If you try to save a document that has the same value for a unique
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field as a document that is already in the database, a
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:class:`~mongoengine.OperationError` will be raised. You may also specify
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multi-field uniqueness constraints by using :attr:`unique_with`, which may be
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either a single field name, or a list or tuple of field names::
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class User(Document):
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username = StringField(unique=True)
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first_name = StringField()
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last_name = StringField(unique_with='last_name')
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Document collections
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====================
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Document classes that inherit **directly** from :class:`~mongoengine.Document`
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will have their own **collection** in the database. The name of the collection
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is by default the name of the class, coverted to lowercase (so in the example
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above, the collection would be called `page`). If you need to change the name
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of the collection (e.g. to use MongoEngine with an existing database), then
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create a class dictionary attribute called :attr:`meta` on your document, and
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set :attr:`collection` to the name of the collection that you want your
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document class to use::
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class Page(Document):
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title = StringField(max_length=200, required=True)
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meta = {'collection': 'cmsPage'}
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Capped collections
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^^^^^^^^^^^^^^^^^^
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A :class:`~mongoengine.Document` may use a **Capped Collection** by specifying
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:attr:`max_documents` and :attr:`max_size` in the :attr:`meta` dictionary.
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:attr:`max_documents` is the maximum number of documents that is allowed to be
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stored in the collection, and :attr:`max_size` is the maximum size of the
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collection in bytes. If :attr:`max_size` is not specified and
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:attr:`max_documents` is, :attr:`max_size` defaults to 10000000 bytes (10MB).
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The following example shows a :class:`Log` document that will be limited to
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1000 entries and 2MB of disk space::
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class Log(Document):
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ip_address = StringField()
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meta = {'max_documents': 1000, 'max_size': 2000000}
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Indexes
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=======
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You can specify indexes on collections to make querying faster. This is done
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by creating a list of index specifications called :attr:`indexes` in the
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:attr:`~mongoengine.Document.meta` dictionary, where an index specification may
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either be a single field name, or a tuple containing multiple field names. A
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direction may be specified on fields by prefixing the field name with a **+**
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or a **-** sign. Note that direction only matters on multi-field indexes. ::
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class Page(Document):
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title = StringField()
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rating = StringField()
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meta = {
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'indexes': ['title', ('title', '-rating')]
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}
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Ordering
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========
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A default ordering can be specified for your
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:class:`~mongoengine.queryset.QuerySet` using the :attr:`ordering` attribute of
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:attr:`~mongoengine.Document.meta`. Ordering will be applied when the
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:class:`~mongoengine.queryset.QuerySet` is created, and can be overridden by
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subsequent calls to :meth:`~mongoengine.queryset.QuerySet.order_by`. ::
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from datetime import datetime
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class BlogPost(Document):
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title = StringField()
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published_date = DateTimeField()
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meta = {
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'ordering': ['-published_date']
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}
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blog_post_1 = BlogPost(title="Blog Post #1")
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blog_post_1.published_date = datetime(2010, 1, 5, 0, 0 ,0))
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blog_post_2 = BlogPost(title="Blog Post #2")
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blog_post_2.published_date = datetime(2010, 1, 6, 0, 0 ,0))
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blog_post_3 = BlogPost(title="Blog Post #3")
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blog_post_3.published_date = datetime(2010, 1, 7, 0, 0 ,0))
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blog_post_1.save()
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blog_post_2.save()
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blog_post_3.save()
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# get the "first" BlogPost using default ordering
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# from BlogPost.meta.ordering
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latest_post = BlogPost.objects.first()
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self.assertEqual(latest_post.title, "Blog Post #3")
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# override default ordering, order BlogPosts by "published_date"
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first_post = BlogPost.objects.order_by("+published_date").first()
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self.assertEqual(first_post.title, "Blog Post #1")
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Document inheritance
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====================
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To create a specialised type of a :class:`~mongoengine.Document` you have
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defined, you may subclass it and add any extra fields or methods you may need.
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As this is new class is not a direct subclass of
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:class:`~mongoengine.Document`, it will not be stored in its own collection; it
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will use the same collection as its superclass uses. This allows for more
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convenient and efficient retrieval of related documents::
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# Stored in a collection named 'page'
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class Page(Document):
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title = StringField(max_length=200, required=True)
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# Also stored in the collection named 'page'
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class DatedPage(Page):
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date = DateTimeField()
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Working with existing data
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^^^^^^^^^^^^^^^^^^^^^^^^^^
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To enable correct retrieval of documents involved in this kind of heirarchy,
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two extra attributes are stored on each document in the database: :attr:`_cls`
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and :attr:`_types`. These are hidden from the user through the MongoEngine
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interface, but may not be present if you are trying to use MongoEngine with
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an existing database. For this reason, you may disable this inheritance
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mechansim, removing the dependency of :attr:`_cls` and :attr:`_types`, enabling
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you to work with existing databases. To disable inheritance on a document
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class, set :attr:`allow_inheritance` to ``False`` in the :attr:`meta`
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dictionary::
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# Will work with data in an existing collection named 'cmsPage'
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class Page(Document):
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title = StringField(max_length=200, required=True)
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meta = {
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'collection': 'cmsPage',
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'allow_inheritance': False,
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}
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65
docs/guide/document-instances.rst
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docs/guide/document-instances.rst
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===================
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Documents instances
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===================
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To create a new document object, create an instance of the relevant document
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class, providing values for its fields as its constructor keyword arguments.
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You may provide values for any of the fields on the document::
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>>> page = Page(title="Test Page")
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>>> page.title
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'Test Page'
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You may also assign values to the document's fields using standard object
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attribute syntax::
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>>> page.title = "Example Page"
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>>> page.title
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'Example Page'
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Saving and deleting documents
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-----------------------------
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To save the document to the database, call the
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:meth:`~mongoengine.Document.save` method. If the document does not exist in
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the database, it will be created. If it does already exist, it will be
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updated.
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To delete a document, call the :meth:`~mongoengine.Document.delete` method.
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Note that this will only work if the document exists in the database and has a
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valide :attr:`id`.
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.. seealso::
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:ref:`guide-atomic-updates`
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Document IDs
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------------
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Each document in the database has a unique id. This may be accessed through the
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:attr:`id` attribute on :class:`~mongoengine.Document` objects. Usually, the id
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will be generated automatically by the database server when the object is save,
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meaning that you may only access the :attr:`id` field once a document has been
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saved::
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>>> page = Page(title="Test Page")
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>>> page.id
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>>> page.save()
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>>> page.id
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ObjectId('123456789abcdef000000000')
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Alternatively, you may define one of your own fields to be the document's
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"primary key" by providing ``primary_key=True`` as a keyword argument to a
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field's constructor. Under the hood, MongoEngine will use this field as the
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:attr:`id`; in fact :attr:`id` is actually aliased to your primary key field so
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||||
you may still use :attr:`id` to access the primary key if you want::
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>>> class User(Document):
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... email = StringField(primary_key=True)
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... name = StringField()
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...
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>>> bob = User(email='bob@example.com', name='Bob')
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>>> bob.save()
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>>> bob.id == bob.email == 'bob@example.com'
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True
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.. note::
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If you define your own primary key field, the field implicitly becomes
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required, so a :class:`ValidationError` will be thrown if you don't provide
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it.
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12
docs/guide/index.rst
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docs/guide/index.rst
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==========
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User Guide
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==========
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.. toctree::
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:maxdepth: 2
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installing
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connecting
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defining-documents
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document-instances
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querying
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31
docs/guide/installing.rst
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docs/guide/installing.rst
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======================
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Installing MongoEngine
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======================
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||||
To use MongoEngine, you will need to download `MongoDB <http://mongodb.org/>`_
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and ensure it is running in an accessible location. You will also need
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`PyMongo <http://api.mongodb.org/python>`_ to use MongoEngine, but if you
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install MongoEngine using setuptools, then the dependencies will be handled for
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||||
you.
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MongoEngine is available on PyPI, so to use it you can use
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||||
:program:`easy_install`:
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||||
.. code-block:: console
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||||
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||||
# easy_install mongoengine
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||||
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||||
Alternatively, if you don't have setuptools installed, `download it from PyPi
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||||
<http://pypi.python.org/pypi/mongoengine/>`_ and run
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||||
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||||
.. code-block:: console
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||||
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||||
# python setup.py install
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||||
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||||
To use the bleeding-edge version of MongoEngine, you can get the source from
|
||||
`GitHub <http://github.com/hmarr/mongoengine/>`_ and install it as above:
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||||
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||||
.. code-block:: console
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||||
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||||
# git clone git://github.com/hmarr/mongoengine
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||||
# cd mongoengine
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# python setup.py install
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196
docs/guide/querying.rst
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196
docs/guide/querying.rst
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=====================
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||||
Querying the database
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||||
=====================
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||||
:class:`~mongoengine.Document` classes have an :attr:`objects` attribute, which
|
||||
is used for accessing the objects in the database associated with the class.
|
||||
The :attr:`objects` attribute is actually a
|
||||
:class:`~mongoengine.queryset.QuerySetManager`, which creates and returns a new
|
||||
a new :class:`~mongoengine.queryset.QuerySet` object on access. The
|
||||
:class:`~mongoengine.queryset.QuerySet` object may may be iterated over to
|
||||
fetch documents from the database::
|
||||
|
||||
# Prints out the names of all the users in the database
|
||||
for user in User.objects:
|
||||
print user.name
|
||||
|
||||
Filtering queries
|
||||
-----------------
|
||||
The query may be filtered by calling the
|
||||
:class:`~mongoengine.queryset.QuerySet` object with field lookup keyword
|
||||
arguments. The keys in the keyword arguments correspond to fields on the
|
||||
:class:`~mongoengine.Document` you are querying::
|
||||
|
||||
# This will return a QuerySet that will only iterate over users whose
|
||||
# 'country' field is set to 'uk'
|
||||
uk_users = User.objects(country='uk')
|
||||
|
||||
Fields on embedded documents may also be referred to using field lookup syntax
|
||||
by using a double-underscore in place of the dot in object attribute access
|
||||
syntax::
|
||||
|
||||
# This will return a QuerySet that will only iterate over pages that have
|
||||
# been written by a user whose 'country' field is set to 'uk'
|
||||
uk_pages = Page.objects(author__country='uk')
|
||||
|
||||
Querying lists
|
||||
^^^^^^^^^^^^^^
|
||||
On most fields, this syntax will look up documents where the field specified
|
||||
matches the given value exactly, but when the field refers to a
|
||||
:class:`~mongoengine.ListField`, a single item may be provided, in which case
|
||||
lists that contain that item will be matched::
|
||||
|
||||
class Page(Document):
|
||||
tags = ListField(StringField())
|
||||
|
||||
# This will match all pages that have the word 'coding' as an item in the
|
||||
# 'tags' list
|
||||
Page.objects(tags='coding')
|
||||
|
||||
Query operators
|
||||
---------------
|
||||
Operators other than equality may also be used in queries; just attach the
|
||||
operator name to a key with a double-underscore::
|
||||
|
||||
# Only find users whose age is 18 or less
|
||||
young_users = Users.objects(age__lte=18)
|
||||
|
||||
Available operators are as follows:
|
||||
|
||||
* ``neq`` -- not equal to
|
||||
* ``lt`` -- less than
|
||||
* ``lte`` -- less than or equal to
|
||||
* ``gt`` -- greater than
|
||||
* ``gte`` -- greater than or equal to
|
||||
* ``in`` -- value is in list (a list of values should be provided)
|
||||
* ``nin`` -- value is not in list (a list of values should be provided)
|
||||
* ``mod`` -- ``value % x == y``, where ``x`` and ``y`` are two provided values
|
||||
* ``all`` -- every item in array is in list of values provided
|
||||
* ``size`` -- the size of the array is
|
||||
* ``exists`` -- value for field exists
|
||||
|
||||
Limiting and skipping results
|
||||
-----------------------------
|
||||
Just as with traditional ORMs, you may limit the number of results returned, or
|
||||
skip a number or results in you query.
|
||||
:meth:`~mongoengine.queryset.QuerySet.limit` and
|
||||
:meth:`~mongoengine.queryset.QuerySet.skip` and methods are available on
|
||||
:class:`~mongoengine.queryset.QuerySet` objects, but the prefered syntax for
|
||||
achieving this is using array-slicing syntax::
|
||||
|
||||
# Only the first 5 people
|
||||
users = User.objects[:5]
|
||||
|
||||
# All except for the first 5 people
|
||||
users = User.objects[5:]
|
||||
|
||||
# 5 users, starting from the 10th user found
|
||||
users = User.objects[10:15]
|
||||
|
||||
Aggregation
|
||||
-----------
|
||||
MongoDB provides some aggregation methods out of the box, but there are not as
|
||||
many as you typically get with an RDBMS. MongoEngine provides a wrapper around
|
||||
the built-in methods and provides some of its own, which are implemented as
|
||||
Javascript code that is executed on the database server.
|
||||
|
||||
Counting results
|
||||
^^^^^^^^^^^^^^^^
|
||||
Just as with limiting and skipping results, there is a method on
|
||||
:class:`~mongoengine.queryset.QuerySet` objects --
|
||||
:meth:`~mongoengine.queryset.QuerySet.count`, but there is also a more Pythonic
|
||||
way of achieving this::
|
||||
|
||||
num_users = len(User.objects)
|
||||
|
||||
Further aggregation
|
||||
^^^^^^^^^^^^^^^^^^^
|
||||
You may sum over the values of a specific field on documents using
|
||||
:meth:`~mongoengine.queryset.QuerySet.sum`::
|
||||
|
||||
yearly_expense = Employee.objects.sum('salary')
|
||||
|
||||
.. note::
|
||||
If the field isn't present on a document, that document will be ignored from
|
||||
the sum.
|
||||
|
||||
To get the average (mean) of a field on a collection of documents, use
|
||||
:meth:`~mongoengine.queryset.QuerySet.average`::
|
||||
|
||||
mean_age = User.objects.average('age')
|
||||
|
||||
As MongoDB provides native lists, MongoEngine provides a helper method to get a
|
||||
dictionary of the frequencies of items in lists across an entire collection --
|
||||
:meth:`~mongoengine.queryset.QuerySet.item_frequencies`. An example of its use
|
||||
would be generating "tag-clouds"::
|
||||
|
||||
class Article(Document):
|
||||
tag = ListField(StringField())
|
||||
|
||||
# After adding some tagged articles...
|
||||
tag_freqs = Article.objects.item_frequencies('tag', normalize=True)
|
||||
|
||||
from operator import itemgetter
|
||||
top_tags = sorted(tag_freqs.items(), key=itemgetter(1), reverse=True)[:10]
|
||||
|
||||
Advanced queries
|
||||
----------------
|
||||
Sometimes calling a :class:`~mongoengine.queryset.QuerySet` object with keyword
|
||||
arguments can't fully express the query you want to use -- for example if you
|
||||
need to combine a number of constraints using *and* and *or*. This is made
|
||||
possible in MongoEngine through the :class:`~mongoengine.queryset.Q` class.
|
||||
A :class:`~mongoengine.queryset.Q` object represents part of a query, and
|
||||
can be initialised using the same keyword-argument syntax you use to query
|
||||
documents. To build a complex query, you may combine
|
||||
:class:`~mongoengine.queryset.Q` objects using the ``&`` (and) and ``|`` (or)
|
||||
operators. To use :class:`~mongoengine.queryset.Q` objects, pass them in
|
||||
as positional arguments to :attr:`Document.objects` when you filter it by
|
||||
calling it with keyword arguments::
|
||||
|
||||
# Get published posts
|
||||
Post.objects(Q(published=True) | Q(publish_date__lte=datetime.now()))
|
||||
|
||||
# Get top posts
|
||||
Post.objects((Q(featured=True) & Q(hits__gte=1000)) | Q(hits__gte=5000))
|
||||
|
||||
.. warning::
|
||||
Only use these advanced queries if absolutely necessary as they will execute
|
||||
significantly slower than regular queries. This is because they are not
|
||||
natively supported by MongoDB -- they are compiled to Javascript and sent
|
||||
to the server for execution.
|
||||
|
||||
.. _guide-atomic-updates:
|
||||
|
||||
Atomic updates
|
||||
--------------
|
||||
Documents may be updated atomically by using the
|
||||
:meth:`~mongoengine.queryset.QuerySet.update_one` and
|
||||
:meth:`~mongoengine.queryset.QuerySet.update` methods on a
|
||||
:meth:`~mongoengine.queryset.QuerySet`. There are several different "modifiers"
|
||||
that you may use with these methods:
|
||||
|
||||
* ``set`` -- set a particular value
|
||||
* ``unset`` -- delete a particular value (since MongoDB v1.3+)
|
||||
* ``inc`` -- increment a value by a given amount
|
||||
* ``dec`` -- decrement a value by a given amount
|
||||
* ``push`` -- append a value to a list
|
||||
* ``push_all`` -- append several values to a list
|
||||
* ``pull`` -- remove a value from a list
|
||||
* ``pull_all`` -- remove several values from a list
|
||||
|
||||
The syntax for atomic updates is similar to the querying syntax, but the
|
||||
modifier comes before the field, not after it::
|
||||
|
||||
>>> post = BlogPost(title='Test', page_views=0, tags=['database'])
|
||||
>>> post.save()
|
||||
>>> BlogPost.objects(id=post.id).update_one(inc__page_views=1)
|
||||
>>> post.reload() # the document has been changed, so we need to reload it
|
||||
>>> post.page_views
|
||||
1
|
||||
>>> BlogPost.objects(id=post.id).update_one(set__title='Example Post')
|
||||
>>> post.reload()
|
||||
>>> post.title
|
||||
'Example Post'
|
||||
>>> BlogPost.objects(id=post.id).update_one(push__tags='nosql')
|
||||
>>> post.reload()
|
||||
>>> post.tags
|
||||
['database', 'nosql']
|
@ -1,5 +1,6 @@
|
||||
==============================
|
||||
MongoEngine User Documentation
|
||||
=======================================
|
||||
==============================
|
||||
|
||||
MongoEngine is an Object-Document Mapper, written in Python for working with
|
||||
MongoDB. To install it, simply run
|
||||
@ -14,7 +15,7 @@ The source is available on `GitHub <http://github.com/hmarr/mongoengine>`_.
|
||||
:maxdepth: 2
|
||||
|
||||
tutorial
|
||||
userguide
|
||||
guide/index
|
||||
apireference
|
||||
django
|
||||
changelog
|
||||
|
@ -1,534 +0,0 @@
|
||||
==========
|
||||
User Guide
|
||||
==========
|
||||
|
||||
Installing
|
||||
==========
|
||||
MongoEngine is available on PyPI, so to use it you can use
|
||||
:program:`easy_install`
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
# easy_install mongoengine
|
||||
|
||||
Alternatively, if you don't have setuptools installed, `download it from PyPi
|
||||
<http://pypi.python.org/pypi/mongoengine/>`_ and run
|
||||
|
||||
.. code-block:: console
|
||||
|
||||
# python setup.py install
|
||||
|
||||
.. _guide-connecting:
|
||||
|
||||
Connecting to MongoDB
|
||||
=====================
|
||||
To connect to a running instance of :program:`mongod`, use the
|
||||
:func:`~mongoengine.connect` function. The first argument is the name of the
|
||||
database to connect to. If the database does not exist, it will be created. If
|
||||
the database requires authentication, :attr:`username` and :attr:`password`
|
||||
arguments may be provided::
|
||||
|
||||
from mongoengine import connect
|
||||
connect('project1', username='webapp', password='pwd123')
|
||||
|
||||
By default, MongoEngine assumes that the :program:`mongod` instance is running
|
||||
on **localhost** on port **27017**. If MongoDB is running elsewhere, you may
|
||||
provide :attr:`host` and :attr:`port` arguments to
|
||||
:func:`~mongoengine.connect`::
|
||||
|
||||
connect('project1', host='192.168.1.35', port=12345)
|
||||
|
||||
Defining documents
|
||||
==================
|
||||
In MongoDB, a **document** is roughly equivalent to a **row** in an RDBMS. When
|
||||
working with relational databases, rows are stored in **tables**, which have a
|
||||
strict **schema** that the rows follow. MongoDB stores documents in
|
||||
**collections** rather than tables - the principle difference is that no schema
|
||||
is enforced at a database level.
|
||||
|
||||
Defining a document's schema
|
||||
----------------------------
|
||||
MongoEngine allows you to define schemata for documents as this helps to reduce
|
||||
coding errors, and allows for utility methods to be defined on fields which may
|
||||
be present.
|
||||
|
||||
To define a schema for a document, create a class that inherits from
|
||||
:class:`~mongoengine.Document`. Fields are specified by adding **field
|
||||
objects** as class attributes to the document class::
|
||||
|
||||
from mongoengine import *
|
||||
import datetime
|
||||
|
||||
class Page(Document):
|
||||
title = StringField(max_length=200, required=True)
|
||||
date_modified = DateTimeField(default=datetime.now)
|
||||
|
||||
Fields
|
||||
------
|
||||
By default, fields are not required. To make a field mandatory, set the
|
||||
:attr:`required` keyword argument of a field to ``True``. Fields also may have
|
||||
validation constraints available (such as :attr:`max_length` in the example
|
||||
above). Fields may also take default values, which will be used if a value is
|
||||
not provided. Default values may optionally be a callable, which will be called
|
||||
to retrieve the value (such as in the above example). The field types available
|
||||
are as follows:
|
||||
|
||||
* :class:`~mongoengine.StringField`
|
||||
* :class:`~mongoengine.IntField`
|
||||
* :class:`~mongoengine.FloatField`
|
||||
* :class:`~mongoengine.DateTimeField`
|
||||
* :class:`~mongoengine.ListField`
|
||||
* :class:`~mongoengine.ObjectIdField`
|
||||
* :class:`~mongoengine.EmbeddedDocumentField`
|
||||
* :class:`~mongoengine.ReferenceField`
|
||||
|
||||
List fields
|
||||
^^^^^^^^^^^
|
||||
MongoDB allows the storage of lists of items. To add a list of items to a
|
||||
:class:`~mongoengine.Document`, use the :class:`~mongoengine.ListField` field
|
||||
type. :class:`~mongoengine.ListField` takes another field object as its first
|
||||
argument, which specifies which type elements may be stored within the list::
|
||||
|
||||
class Page(Document):
|
||||
tags = ListField(StringField(max_length=50))
|
||||
|
||||
Embedded documents
|
||||
^^^^^^^^^^^^^^^^^^
|
||||
MongoDB has the ability to embed documents within other documents. Schemata may
|
||||
be defined for these embedded documents, just as they may be for regular
|
||||
documents. To create an embedded document, just define a document as usual, but
|
||||
inherit from :class:`~mongoengine.EmbeddedDocument` rather than
|
||||
:class:`~mongoengine.Document`::
|
||||
|
||||
class Comment(EmbeddedDocument):
|
||||
content = StringField()
|
||||
|
||||
To embed the document within another document, use the
|
||||
:class:`~mongoengine.EmbeddedDocumentField` field type, providing the embedded
|
||||
document class as the first argument::
|
||||
|
||||
class Page(Document):
|
||||
comments = ListField(EmbeddedDocumentField(Comment))
|
||||
|
||||
comment1 = Comment('Good work!')
|
||||
comment2 = Comment('Nice article!')
|
||||
page = Page(comments=[comment1, comment2])
|
||||
|
||||
Reference fields
|
||||
^^^^^^^^^^^^^^^^
|
||||
References may be stored to other documents in the database using the
|
||||
:class:`~mongoengine.ReferenceField`. Pass in another document class as the
|
||||
first argument to the constructor, then simply assign document objects to the
|
||||
field::
|
||||
|
||||
class User(Document):
|
||||
name = StringField()
|
||||
|
||||
class Page(Document):
|
||||
content = StringField()
|
||||
author = ReferenceField(User)
|
||||
|
||||
john = User(name="John Smith")
|
||||
john.save()
|
||||
|
||||
post = Page(content="Test Page")
|
||||
post.author = john
|
||||
post.save()
|
||||
|
||||
The :class:`User` object is automatically turned into a reference behind the
|
||||
scenes, and dereferenced when the :class:`Page` object is retrieved.
|
||||
|
||||
Uniqueness constraints
|
||||
^^^^^^^^^^^^^^^^^^^^^^
|
||||
MongoEngine allows you to specify that a field should be unique across a
|
||||
collection by providing ``unique=True`` to a :class:`~mongoengine.Field`\ 's
|
||||
constructor. If you try to save a document that has the same value for a unique
|
||||
field as a document that is already in the database, a
|
||||
:class:`~mongoengine.OperationError` will be raised. You may also specify
|
||||
multi-field uniqueness constraints by using :attr:`unique_with`, which may be
|
||||
either a single field name, or a list or tuple of field names::
|
||||
|
||||
class User(Document):
|
||||
username = StringField(unique=True)
|
||||
first_name = StringField()
|
||||
last_name = StringField(unique_with='last_name')
|
||||
|
||||
Document collections
|
||||
--------------------
|
||||
Document classes that inherit **directly** from :class:`~mongoengine.Document`
|
||||
will have their own **collection** in the database. The name of the collection
|
||||
is by default the name of the class, coverted to lowercase (so in the example
|
||||
above, the collection would be called `page`). If you need to change the name
|
||||
of the collection (e.g. to use MongoEngine with an existing database), then
|
||||
create a class dictionary attribute called :attr:`meta` on your document, and
|
||||
set :attr:`collection` to the name of the collection that you want your
|
||||
document class to use::
|
||||
|
||||
class Page(Document):
|
||||
title = StringField(max_length=200, required=True)
|
||||
meta = {'collection': 'cmsPage'}
|
||||
|
||||
Capped collections
|
||||
^^^^^^^^^^^^^^^^^^
|
||||
A :class:`~mongoengine.Document` may use a **Capped Collection** by specifying
|
||||
:attr:`max_documents` and :attr:`max_size` in the :attr:`meta` dictionary.
|
||||
:attr:`max_documents` is the maximum number of documents that is allowed to be
|
||||
stored in the collection, and :attr:`max_size` is the maximum size of the
|
||||
collection in bytes. If :attr:`max_size` is not specified and
|
||||
:attr:`max_documents` is, :attr:`max_size` defaults to 10000000 bytes (10MB).
|
||||
The following example shows a :class:`Log` document that will be limited to
|
||||
1000 entries and 2MB of disk space::
|
||||
|
||||
class Log(Document):
|
||||
ip_address = StringField()
|
||||
meta = {'max_documents': 1000, 'max_size': 2000000}
|
||||
|
||||
Indexes
|
||||
-------
|
||||
You can specify indexes on collections to make querying faster. This is done
|
||||
by creating a list of index specifications called :attr:`indexes` in the
|
||||
:attr:`~mongoengine.Document.meta` dictionary, where an index specification may
|
||||
either be a single field name, or a tuple containing multiple field names. A
|
||||
direction may be specified on fields by prefixing the field name with a **+**
|
||||
or a **-** sign. Note that direction only matters on multi-field indexes. ::
|
||||
|
||||
class Page(Document):
|
||||
title = StringField()
|
||||
rating = StringField()
|
||||
meta = {
|
||||
'indexes': ['title', ('title', '-rating')]
|
||||
}
|
||||
|
||||
Ordering
|
||||
--------
|
||||
A default ordering can be specified for your
|
||||
:class:`~mongoengine.queryset.QuerySet` using the :attr:`ordering` attribute of
|
||||
:attr:`~mongoengine.Document.meta`. Ordering will be applied when the
|
||||
:class:`~mongoengine.queryset.QuerySet` is created, and can be overridden by
|
||||
subsequent calls to :meth:`~mongoengine.queryset.QuerySet.order_by`. ::
|
||||
|
||||
from datetime import datetime
|
||||
|
||||
class BlogPost(Document):
|
||||
title = StringField()
|
||||
published_date = DateTimeField()
|
||||
|
||||
meta = {
|
||||
'ordering': ['-published_date']
|
||||
}
|
||||
|
||||
blog_post_1 = BlogPost(title="Blog Post #1")
|
||||
blog_post_1.published_date = datetime(2010, 1, 5, 0, 0 ,0))
|
||||
|
||||
blog_post_2 = BlogPost(title="Blog Post #2")
|
||||
blog_post_2.published_date = datetime(2010, 1, 6, 0, 0 ,0))
|
||||
|
||||
blog_post_3 = BlogPost(title="Blog Post #3")
|
||||
blog_post_3.published_date = datetime(2010, 1, 7, 0, 0 ,0))
|
||||
|
||||
blog_post_1.save()
|
||||
blog_post_2.save()
|
||||
blog_post_3.save()
|
||||
|
||||
# get the "first" BlogPost using default ordering
|
||||
# from BlogPost.meta.ordering
|
||||
latest_post = BlogPost.objects.first()
|
||||
self.assertEqual(latest_post.title, "Blog Post #3")
|
||||
|
||||
# override default ordering, order BlogPosts by "published_date"
|
||||
first_post = BlogPost.objects.order_by("+published_date").first()
|
||||
self.assertEqual(first_post.title, "Blog Post #1")
|
||||
|
||||
Document inheritance
|
||||
--------------------
|
||||
To create a specialised type of a :class:`~mongoengine.Document` you have
|
||||
defined, you may subclass it and add any extra fields or methods you may need.
|
||||
As this is new class is not a direct subclass of
|
||||
:class:`~mongoengine.Document`, it will not be stored in its own collection; it
|
||||
will use the same collection as its superclass uses. This allows for more
|
||||
convenient and efficient retrieval of related documents::
|
||||
|
||||
# Stored in a collection named 'page'
|
||||
class Page(Document):
|
||||
title = StringField(max_length=200, required=True)
|
||||
|
||||
# Also stored in the collection named 'page'
|
||||
class DatedPage(Page):
|
||||
date = DateTimeField()
|
||||
|
||||
Working with existing data
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
To enable correct retrieval of documents involved in this kind of heirarchy,
|
||||
two extra attributes are stored on each document in the database: :attr:`_cls`
|
||||
and :attr:`_types`. These are hidden from the user through the MongoEngine
|
||||
interface, but may not be present if you are trying to use MongoEngine with
|
||||
an existing database. For this reason, you may disable this inheritance
|
||||
mechansim, removing the dependency of :attr:`_cls` and :attr:`_types`, enabling
|
||||
you to work with existing databases. To disable inheritance on a document
|
||||
class, set :attr:`allow_inheritance` to ``False`` in the :attr:`meta`
|
||||
dictionary::
|
||||
|
||||
# Will work with data in an existing collection named 'cmsPage'
|
||||
class Page(Document):
|
||||
title = StringField(max_length=200, required=True)
|
||||
meta = {
|
||||
'collection': 'cmsPage',
|
||||
'allow_inheritance': False,
|
||||
}
|
||||
|
||||
Documents instances
|
||||
===================
|
||||
To create a new document object, create an instance of the relevant document
|
||||
class, providing values for its fields as its constructor keyword arguments.
|
||||
You may provide values for any of the fields on the document::
|
||||
|
||||
>>> page = Page(title="Test Page")
|
||||
>>> page.title
|
||||
'Test Page'
|
||||
|
||||
You may also assign values to the document's fields using standard object
|
||||
attribute syntax::
|
||||
|
||||
>>> page.title = "Example Page"
|
||||
>>> page.title
|
||||
'Example Page'
|
||||
|
||||
Saving and deleting documents
|
||||
-----------------------------
|
||||
To save the document to the database, call the
|
||||
:meth:`~mongoengine.Document.save` method. If the document does not exist in
|
||||
the database, it will be created. If it does already exist, it will be
|
||||
updated.
|
||||
|
||||
To delete a document, call the :meth:`~mongoengine.Document.delete` method.
|
||||
Note that this will only work if the document exists in the database and has a
|
||||
valide :attr:`id`.
|
||||
|
||||
Document IDs
|
||||
------------
|
||||
Each document in the database has a unique id. This may be accessed through the
|
||||
:attr:`id` attribute on :class:`~mongoengine.Document` objects. Usually, the id
|
||||
will be generated automatically by the database server when the object is save,
|
||||
meaning that you may only access the :attr:`id` field once a document has been
|
||||
saved::
|
||||
|
||||
>>> page = Page(title="Test Page")
|
||||
>>> page.id
|
||||
>>> page.save()
|
||||
>>> page.id
|
||||
ObjectId('123456789abcdef000000000')
|
||||
|
||||
Alternatively, you may define one of your own fields to be the document's
|
||||
"primary key" by providing ``primary_key=True`` as a keyword argument to a
|
||||
field's constructor. Under the hood, MongoEngine will use this field as the
|
||||
:attr:`id`; in fact :attr:`id` is actually aliased to your primary key field so
|
||||
you may still use :attr:`id` to access the primary key if you want::
|
||||
|
||||
>>> class User(Document):
|
||||
... email = StringField(primary_key=True)
|
||||
... name = StringField()
|
||||
...
|
||||
>>> bob = User(email='bob@example.com', name='Bob')
|
||||
>>> bob.save()
|
||||
>>> bob.id == bob.email == 'bob@example.com'
|
||||
True
|
||||
|
||||
.. note::
|
||||
If you define your own primary key field, the field implicitly becomes
|
||||
required, so a :class:`ValidationError` will be thrown if you don't provide
|
||||
it.
|
||||
|
||||
Querying the database
|
||||
=====================
|
||||
:class:`~mongoengine.Document` classes have an :attr:`objects` attribute, which
|
||||
is used for accessing the objects in the database associated with the class.
|
||||
The :attr:`objects` attribute is actually a
|
||||
:class:`~mongoengine.queryset.QuerySetManager`, which creates and returns a new
|
||||
a new :class:`~mongoengine.queryset.QuerySet` object on access. The
|
||||
:class:`~mongoengine.queryset.QuerySet` object may may be iterated over to
|
||||
fetch documents from the database::
|
||||
|
||||
# Prints out the names of all the users in the database
|
||||
for user in User.objects:
|
||||
print user.name
|
||||
|
||||
Filtering queries
|
||||
-----------------
|
||||
The query may be filtered by calling the
|
||||
:class:`~mongoengine.queryset.QuerySet` object with field lookup keyword
|
||||
arguments. The keys in the keyword arguments correspond to fields on the
|
||||
:class:`~mongoengine.Document` you are querying::
|
||||
|
||||
# This will return a QuerySet that will only iterate over users whose
|
||||
# 'country' field is set to 'uk'
|
||||
uk_users = User.objects(country='uk')
|
||||
|
||||
Fields on embedded documents may also be referred to using field lookup syntax
|
||||
by using a double-underscore in place of the dot in object attribute access
|
||||
syntax::
|
||||
|
||||
# This will return a QuerySet that will only iterate over pages that have
|
||||
# been written by a user whose 'country' field is set to 'uk'
|
||||
uk_pages = Page.objects(author__country='uk')
|
||||
|
||||
Querying lists
|
||||
^^^^^^^^^^^^^^
|
||||
On most fields, this syntax will look up documents where the field specified
|
||||
matches the given value exactly, but when the field refers to a
|
||||
:class:`~mongoengine.ListField`, a single item may be provided, in which case
|
||||
lists that contain that item will be matched::
|
||||
|
||||
class Page(Document):
|
||||
tags = ListField(StringField())
|
||||
|
||||
# This will match all pages that have the word 'coding' as an item in the
|
||||
# 'tags' list
|
||||
Page.objects(tags='coding')
|
||||
|
||||
Query operators
|
||||
---------------
|
||||
Operators other than equality may also be used in queries; just attach the
|
||||
operator name to a key with a double-underscore::
|
||||
|
||||
# Only find users whose age is 18 or less
|
||||
young_users = Users.objects(age__lte=18)
|
||||
|
||||
Available operators are as follows:
|
||||
|
||||
* ``neq`` -- not equal to
|
||||
* ``lt`` -- less than
|
||||
* ``lte`` -- less than or equal to
|
||||
* ``gt`` -- greater than
|
||||
* ``gte`` -- greater than or equal to
|
||||
* ``in`` -- value is in list (a list of values should be provided)
|
||||
* ``nin`` -- value is not in list (a list of values should be provided)
|
||||
* ``mod`` -- ``value % x == y``, where ``x`` and ``y`` are two provided values
|
||||
* ``all`` -- every item in array is in list of values provided
|
||||
* ``size`` -- the size of the array is
|
||||
* ``exists`` -- value for field exists
|
||||
|
||||
Limiting and skipping results
|
||||
-----------------------------
|
||||
Just as with traditional ORMs, you may limit the number of results returned, or
|
||||
skip a number or results in you query.
|
||||
:meth:`~mongoengine.queryset.QuerySet.limit` and
|
||||
:meth:`~mongoengine.queryset.QuerySet.skip` and methods are available on
|
||||
:class:`~mongoengine.queryset.QuerySet` objects, but the prefered syntax for
|
||||
achieving this is using array-slicing syntax::
|
||||
|
||||
# Only the first 5 people
|
||||
users = User.objects[:5]
|
||||
|
||||
# All except for the first 5 people
|
||||
users = User.objects[5:]
|
||||
|
||||
# 5 users, starting from the 10th user found
|
||||
users = User.objects[10:15]
|
||||
|
||||
Aggregation
|
||||
-----------
|
||||
MongoDB provides some aggregation methods out of the box, but there are not as
|
||||
many as you typically get with an RDBMS. MongoEngine provides a wrapper around
|
||||
the built-in methods and provides some of its own, which are implemented as
|
||||
Javascript code that is executed on the database server.
|
||||
|
||||
Counting results
|
||||
^^^^^^^^^^^^^^^^
|
||||
Just as with limiting and skipping results, there is a method on
|
||||
:class:`~mongoengine.queryset.QuerySet` objects --
|
||||
:meth:`~mongoengine.queryset.QuerySet.count`, but there is also a more Pythonic
|
||||
way of achieving this::
|
||||
|
||||
num_users = len(User.objects)
|
||||
|
||||
Further aggregation
|
||||
^^^^^^^^^^^^^^^^^^^
|
||||
You may sum over the values of a specific field on documents using
|
||||
:meth:`~mongoengine.queryset.QuerySet.sum`::
|
||||
|
||||
yearly_expense = Employee.objects.sum('salary')
|
||||
|
||||
.. note::
|
||||
If the field isn't present on a document, that document will be ignored from
|
||||
the sum.
|
||||
|
||||
To get the average (mean) of a field on a collection of documents, use
|
||||
:meth:`~mongoengine.queryset.QuerySet.average`::
|
||||
|
||||
mean_age = User.objects.average('age')
|
||||
|
||||
As MongoDB provides native lists, MongoEngine provides a helper method to get a
|
||||
dictionary of the frequencies of items in lists across an entire collection --
|
||||
:meth:`~mongoengine.queryset.QuerySet.item_frequencies`. An example of its use
|
||||
would be generating "tag-clouds"::
|
||||
|
||||
class Article(Document):
|
||||
tag = ListField(StringField())
|
||||
|
||||
# After adding some tagged articles...
|
||||
tag_freqs = Article.objects.item_frequencies('tag', normalize=True)
|
||||
|
||||
from operator import itemgetter
|
||||
top_tags = sorted(tag_freqs.items(), key=itemgetter(1), reverse=True)[:10]
|
||||
|
||||
Advanced queries
|
||||
----------------
|
||||
Sometimes calling a :class:`~mongoengine.queryset.QuerySet` object with keyword
|
||||
arguments can't fully express the query you want to use -- for example if you
|
||||
need to combine a number of constraints using *and* and *or*. This is made
|
||||
possible in MongoEngine through the :class:`~mongoengine.queryset.Q` class.
|
||||
A :class:`~mongoengine.queryset.Q` object represents part of a query, and
|
||||
can be initialised using the same keyword-argument syntax you use to query
|
||||
documents. To build a complex query, you may combine
|
||||
:class:`~mongoengine.queryset.Q` objects using the ``&`` (and) and ``|`` (or)
|
||||
operators. To use :class:`~mongoengine.queryset.Q` objects, pass them in
|
||||
as positional arguments to :attr:`Document.objects` when you filter it by
|
||||
calling it with keyword arguments::
|
||||
|
||||
# Get published posts
|
||||
Post.objects(Q(published=True) | Q(publish_date__lte=datetime.now()))
|
||||
|
||||
# Get top posts
|
||||
Post.objects((Q(featured=True) & Q(hits__gte=1000)) | Q(hits__gte=5000))
|
||||
|
||||
.. warning::
|
||||
Only use these advanced queries if absolutely necessary as they will execute
|
||||
significantly slower than regular queries. This is because they are not
|
||||
natively supported by MongoDB -- they are compiled to Javascript and sent
|
||||
to the server for execution.
|
||||
|
||||
Atomic updates
|
||||
--------------
|
||||
Documents may be updated atomically by using the
|
||||
:meth:`~mongoengine.queryset.QuerySet.update_one` and
|
||||
:meth:`~mongoengine.queryset.QuerySet.update` methods on a
|
||||
:meth:`~mongoengine.queryset.QuerySet`. There are several different "modifiers"
|
||||
that you may use with these methods:
|
||||
|
||||
* ``set`` -- set a particular value
|
||||
* ``unset`` -- delete a particular value (since MongoDB v1.3+)
|
||||
* ``inc`` -- increment a value by a given amount
|
||||
* ``dec`` -- decrement a value by a given amount
|
||||
* ``push`` -- append a value to a list
|
||||
* ``push_all`` -- append several values to a list
|
||||
* ``pull`` -- remove a value from a list
|
||||
* ``pull_all`` -- remove several values from a list
|
||||
|
||||
The syntax for atomic updates is similar to the querying syntax, but the
|
||||
modifier comes before the field, not after it::
|
||||
|
||||
>>> post = BlogPost(title='Test', page_views=0, tags=['database'])
|
||||
>>> post.save()
|
||||
>>> BlogPost.objects(id=post.id).update_one(inc__page_views=1)
|
||||
>>> post.reload() # the document has been changed, so we need to reload it
|
||||
>>> post.page_views
|
||||
1
|
||||
>>> BlogPost.objects(id=post.id).update_one(set__title='Example Post')
|
||||
>>> post.reload()
|
||||
>>> post.title
|
||||
'Example Post'
|
||||
>>> BlogPost.objects(id=post.id).update_one(push__tags='nosql')
|
||||
>>> post.reload()
|
||||
>>> post.tags
|
||||
['database', 'nosql']
|
||||
|
Loading…
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Reference in New Issue
Block a user