Tutorial updates

This commit is contained in:
Ross Lawley 2013-04-23 20:37:05 +00:00
parent 88f96b0838
commit 8a7b619b77
3 changed files with 63 additions and 31 deletions

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@ -74,9 +74,13 @@ to point across databases and collections. Below is an example schema, using
Switch Database Context Manager
===============================
Sometimes you might want to switch the database to query against for a class.
Sometimes you may want to switch the database to query against for a class,
for example, you archive older data into a separate database for performance
reasons.
The :class:`~mongoengine.context_managers.switch_db` context manager allows
you to change the database alias for a class eg ::
you to change the database alias for a given class allowing quick and easy
access to the same User document across databases.eg ::
from mongoengine.context_managers import switch_db
@ -87,3 +91,6 @@ you to change the database alias for a class eg ::
with switch_db(User, 'archive-user-db') as User:
User(name="Ross").save() # Saves the 'archive-user-db'
.. note:: Make sure any aliases have been registered with
:func:`~mongoengine.register_connection` before using the context manager.

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@ -7,7 +7,7 @@ MongoDB. To install it, simply run
.. code-block:: console
# pip install -U mongoengine
$ pip install -U mongoengine
:doc:`tutorial`
Start here for a quick overview.

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@ -1,6 +1,7 @@
========
Tutorial
========
This tutorial introduces **MongoEngine** by means of example --- we will walk
through how to create a simple **Tumblelog** application. A Tumblelog is a type
of blog where posts are not constrained to being conventional text-based posts.
@ -12,23 +13,29 @@ interface.
Getting started
===============
Before we start, make sure that a copy of MongoDB is running in an accessible
location --- running it locally will be easier, but if that is not an option
then it may be run on a remote server.
then it may be run on a remote server. If you haven't installed mongoengine,
simply use pip to install it like so::
$ pip install mongoengine
Before we can start using MongoEngine, we need to tell it how to connect to our
instance of :program:`mongod`. For this we use the :func:`~mongoengine.connect`
function. The only argument we need to provide is the name of the MongoDB
database to use::
function. If running locally the only argument we need to provide is the name
of the MongoDB database to use::
from mongoengine import *
connect('tumblelog')
For more information about connecting to MongoDB see :ref:`guide-connecting`.
There are lots of options for connecting to MongoDB, for more information about
them see the :ref:`guide-connecting` guide.
Defining our documents
======================
MongoDB is *schemaless*, which means that no schema is enforced by the database
--- we may add and remove fields however we want and MongoDB won't complain.
This makes life a lot easier in many regards, especially when there is a change
@ -39,17 +46,19 @@ define utility methods on our documents in the same way that traditional
In our Tumblelog application we need to store several different types of
information. We will need to have a collection of **users**, so that we may
link posts to an individual. We also need to store our different types
**posts** (text, image and link) in the database. To aid navigation of our
link posts to an individual. We also need to store our different types of
**posts** (eg: text, image and link) in the database. To aid navigation of our
Tumblelog, posts may have **tags** associated with them, so that the list of
posts shown to the user may be limited to posts that have been assigned a
specified tag. Finally, it would be nice if **comments** could be added to
posts. We'll start with **users**, as the others are slightly more involved.
specific tag. Finally, it would be nice if **comments** could be added to
posts. We'll start with **users**, as the other document models are slightly
more involved.
Users
-----
Just as if we were using a relational database with an ORM, we need to define
which fields a :class:`User` may have, and what their types will be::
which fields a :class:`User` may have, and what types of data they might store::
class User(Document):
email = StringField(required=True)
@ -58,11 +67,13 @@ which fields a :class:`User` may have, and what their types will be::
This looks similar to how a the structure of a table would be defined in a
regular ORM. The key difference is that this schema will never be passed on to
MongoDB --- this will only be enforced at the application level. Also, the User
documents will be stored in a MongoDB *collection* rather than a table.
MongoDB --- this will only be enforced at the application level, making future
changes easy to manage. Also, the User documents will be stored in a
MongoDB *collection* rather than a table.
Posts, Comments and Tags
------------------------
Now we'll think about how to store the rest of the information. If we were
using a relational database, we would most likely have a table of **posts**, a
table of **comments** and a table of **tags**. To associate the comments with
@ -75,16 +86,17 @@ of them stand out as particularly intuitive solutions.
Posts
^^^^^
But MongoDB *isn't* a relational database, so we're not going to do it that
Happily mongoDB *isn't* a relational database, so we're not going to do it that
way. As it turns out, we can use MongoDB's schemaless nature to provide us with
a much nicer solution. We will store all of the posts in *one collection* ---
each post type will just have the fields it needs. If we later want to add
a much nicer solution. We will store all of the posts in *one collection* and
each post type will only store the fields it needs. If we later want to add
video posts, we don't have to modify the collection at all, we just *start
using* the new fields we need to support video posts. This fits with the
Object-Oriented principle of *inheritance* nicely. We can think of
:class:`Post` as a base class, and :class:`TextPost`, :class:`ImagePost` and
:class:`LinkPost` as subclasses of :class:`Post`. In fact, MongoEngine supports
this kind of modelling out of the box - all you need do is turn on inheritance
this kind of modelling out of the box --- all you need do is turn on inheritance
by setting :attr:`allow_inheritance` to True in the :attr:`meta`::
class Post(Document):
@ -109,6 +121,7 @@ when they are saved, and dereferenced when they are loaded.
Tags
^^^^
Now that we have our Post models figured out, how will we attach tags to them?
MongoDB allows us to store lists of items natively, so rather than having a
link table, we can just store a list of tags in each post. So, for both
@ -126,11 +139,14 @@ size of our database. So let's take a look that the code our modified
The :class:`~mongoengine.ListField` object that is used to define a Post's tags
takes a field object as its first argument --- this means that you can have
lists of any type of field (including lists). Note that we don't need to
modify the specialised post types as they all inherit from :class:`Post`.
lists of any type of field (including lists).
.. note:: We don't need to modify the specialised post types as they all
inherit from :class:`Post`.
Comments
^^^^^^^^
A comment is typically associated with *one* post. In a relational database, to
display a post with its comments, we would have to retrieve the post from the
database, then query the database again for the comments associated with the
@ -181,15 +197,15 @@ Now that we've defined how our documents will be structured, let's start adding
some documents to the database. Firstly, we'll need to create a :class:`User`
object::
john = User(email='jdoe@example.com', first_name='John', last_name='Doe')
john.save()
ross = User(email='ross@example.com', first_name='Ross', last_name='Lawley').save()
Note that we could have also defined our user using attribute syntax::
.. note::
We could have also defined our user using attribute syntax::
john = User(email='jdoe@example.com')
john.first_name = 'John'
john.last_name = 'Doe'
john.save()
ross = User(email='ross@example.com')
ross.first_name = 'Ross'
ross.last_name = 'Lawley'
ross.save()
Now that we've got our user in the database, let's add a couple of posts::
@ -198,16 +214,17 @@ Now that we've got our user in the database, let's add a couple of posts::
post1.tags = ['mongodb', 'mongoengine']
post1.save()
post2 = LinkPost(title='MongoEngine Documentation', author=john)
post2.link_url = 'http://tractiondigital.com/labs/mongoengine/docs'
post2 = LinkPost(title='MongoEngine Documentation', author=ross)
post2.link_url = 'http://docs.mongoengine.com/'
post2.tags = ['mongoengine']
post2.save()
Note that if you change a field on a object that has already been saved, then
.. note:: If you change a field on a object that has already been saved, then
call :meth:`save` again, the document will be updated.
Accessing our data
==================
So now we've got a couple of posts in our database, how do we display them?
Each document class (i.e. any class that inherits either directly or indirectly
from :class:`~mongoengine.Document`) has an :attr:`objects` attribute, which is
@ -219,6 +236,7 @@ class. So let's see how we can get our posts' titles::
Retrieving type-specific information
------------------------------------
This will print the titles of our posts, one on each line. But What if we want
to access the type-specific data (link_url, content, etc.)? One way is simply
to use the :attr:`objects` attribute of a subclass of :class:`Post`::
@ -257,6 +275,7 @@ text post, and "Link: <url>" if it was a link post.
Searching our posts by tag
--------------------------
The :attr:`objects` attribute of a :class:`~mongoengine.Document` is actually a
:class:`~mongoengine.queryset.QuerySet` object. This lazily queries the
database only when you need the data. It may also be filtered to narrow down
@ -275,3 +294,9 @@ used on :class:`~mongoengine.queryset.QuerySet` objects::
num_posts = Post.objects(tags='mongodb').count()
print 'Found %d posts with tag "mongodb"' % num_posts
Learning more about mongoengine
-------------------------------
If you got this far you've made a great start, so well done! The next step on
your mongoengine journey is the `full user guide <guide/index>`_, where you
can learn indepth about how to use mongoengine and mongodb.