Created a 'DB optimization' topic, with cross-refs to relevant sections.

Also fixed #10291, which was related, and cleaned up some inconsistent doc labels.



git-svn-id: http://code.djangoproject.com/svn/django/trunk@12229 bcc190cf-cafb-0310-a4f2-bffc1f526a37
This commit is contained in:
Luke Plant 2010-01-16 03:13:16 +00:00
parent 19fad16414
commit 2e9518bb39
6 changed files with 293 additions and 11 deletions

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@ -3,6 +3,8 @@
FAQ: Databases and models FAQ: Databases and models
========================= =========================
.. _faq-see-raw-sql-queries:
How can I see the raw SQL queries Django is running? How can I see the raw SQL queries Django is running?
---------------------------------------------------- ----------------------------------------------------

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@ -71,7 +71,8 @@ The model layer
* **Other:** * **Other:**
:ref:`Supported databases <ref-databases>` | :ref:`Supported databases <ref-databases>` |
:ref:`Legacy databases <howto-legacy-databases>` | :ref:`Legacy databases <howto-legacy-databases>` |
:ref:`Providing initial data <howto-initial-data>` :ref:`Providing initial data <howto-initial-data>` |
:ref:`Optimize database access <topics-db-optimization>`
The template layer The template layer
================== ==================

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@ -66,6 +66,18 @@ You can evaluate a ``QuerySet`` in the following ways:
iterating over a ``QuerySet`` will take advantage of your database to iterating over a ``QuerySet`` will take advantage of your database to
load data and instantiate objects only as you need them. load data and instantiate objects only as you need them.
* **bool().** Testing a ``QuerySet`` in a boolean context, such as using
``bool()``, ``or``, ``and`` or an ``if`` statement, will cause the query
to be executed. If there is at least one result, the ``QuerySet`` is
``True``, otherwise ``False``. For example::
if Entry.objects.filter(headline="Test"):
print "There is at least one Entry with the headline Test"
Note: *Don't* use this if all you want to do is determine if at least one
result exists, and don't need the actual objects. It's more efficient to
use ``exists()`` (see below).
.. _pickling QuerySets: .. _pickling QuerySets:
Pickling QuerySets Pickling QuerySets
@ -302,7 +314,7 @@ a model which defines a default ordering, or when using
ordering was undefined prior to calling ``reverse()``, and will remain ordering was undefined prior to calling ``reverse()``, and will remain
undefined afterward). undefined afterward).
.. _querysets-distinct: .. _queryset-distinct:
``distinct()`` ``distinct()``
~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~
@ -336,6 +348,8 @@ query spans multiple tables, it's possible to get duplicate results when a
``values()`` call. ``values()`` call.
.. _queryset-values:
``values(*fields)`` ``values(*fields)``
~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~
@ -616,7 +630,7 @@ call, since they are conflicting options.
Both the ``depth`` argument and the ability to specify field names in the call Both the ``depth`` argument and the ability to specify field names in the call
to ``select_related()`` are new in Django version 1.0. to ``select_related()`` are new in Django version 1.0.
.. _extra: .. _queryset-extra:
``extra(select=None, where=None, params=None, tables=None, order_by=None, select_params=None)`` ``extra(select=None, where=None, params=None, tables=None, order_by=None, select_params=None)``
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
@ -1062,17 +1076,18 @@ Example::
If you pass ``in_bulk()`` an empty list, you'll get an empty dictionary. If you pass ``in_bulk()`` an empty list, you'll get an empty dictionary.
.. _queryset-iterator:
``iterator()`` ``iterator()``
~~~~~~~~~~~~~~ ~~~~~~~~~~~~~~
Evaluates the ``QuerySet`` (by performing the query) and returns an Evaluates the ``QuerySet`` (by performing the query) and returns an
`iterator`_ over the results. A ``QuerySet`` typically reads all of `iterator`_ over the results. A ``QuerySet`` typically caches its
its results and instantiates all of the corresponding objects the results internally so that repeated evaluations do not result in
first time you access it; ``iterator()`` will instead read results and additional queries; ``iterator()`` will instead read results directly,
instantiate objects in discrete chunks, yielding them one at a without doing any caching at the ``QuerySet`` level. For a
time. For a ``QuerySet`` which returns a large number of objects, this ``QuerySet`` which returns a large number of objects, this often
often results in better performance and a significant reduction in results in better performance and a significant reduction in memory
memory use.
Note that using ``iterator()`` on a ``QuerySet`` which has already Note that using ``iterator()`` on a ``QuerySet`` which has already
been evaluated will force it to evaluate again, repeating the query. been evaluated will force it to evaluate again, repeating the query.

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@ -353,7 +353,7 @@ without any harmful effects, since that is already playing a role in the
query. query.
This behavior is the same as that noted in the queryset documentation for This behavior is the same as that noted in the queryset documentation for
:ref:`distinct() <querysets-distinct>` and the general rule is the same: :ref:`distinct() <queryset-distinct>` and the general rule is the same:
normally you won't want extra columns playing a part in the result, so clear normally you won't want extra columns playing a part in the result, so clear
out the ordering, or at least make sure it's restricted only to those fields out the ordering, or at least make sure it's restricted only to those fields
you also select in a ``values()`` call. you also select in a ``values()`` call.

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@ -17,3 +17,4 @@ model maps to a single database table.
sql sql
transactions transactions
multi-db multi-db
optimization

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@ -0,0 +1,263 @@
.. _topics-db-optimization:
============================
Database access optimization
============================
Django's database layer provides various ways to help developers get the most
out of their databases. This documents gathers together links to the relevant
documentation, and adds various tips, organized under an number of headings that
outline the steps to take when attempting to optimize your database usage.
Profile first
=============
As general programming practice, this goes without saying. Find out :ref:`what
queries you are doing and what they are costing you
<faq-see-raw-sql-queries>`. You may also want to use an external project like
'django-debug-toolbar', or a tool that monitors your database directly.
Remember that you may be optimizing for speed or memory or both, depending on
your requirements. Sometimes optimizing for one will be detrimental to the
other, but sometimes they will help each other. Also, work that is done by the
database process might not have the same cost (to you) as the same amount of
work done in your Python process. It is up to you to decide what your
priorities are, where the balance must lie, and profile all of these as required
since this will depend on your application and server.
With everything that follows, remember to profile after every change to ensure
that the change is a benefit, and a big enough benefit given the decrease in
readability of your code. **All** of the suggestions below come with the caveat
that in your circumstances the general principle might not apply, or might even
be reversed.
Use standard DB optimization techniques
=======================================
...including:
* Indexes. This is a number one priority, *after* you have determined from
profiling what indexes should be added. Use :attr:`django.db.models.Field.db_index` to add
these from Django.
* Appropriate use of field types.
We will assume you have done the obvious things above. The rest of this document
focuses on how to use Django in such a way that you are not doing unnecessary
work. This document also does not address other optimization techniques that
apply to all expensive operations, such as :ref:`general purpose caching
<topics-cache>`.
Understand QuerySets
====================
Understanding :ref:`QuerySets <ref-models-querysets>` is vital to getting good
performance with simple code. In particular:
Understand QuerySet evaluation
------------------------------
To avoid performance problems, it is important to understand:
* that :ref:`QuerySets are lazy <querysets-are-lazy>`.
* when :ref:`they are evaluated <when-querysets-are-evaluated>`.
* how :ref:`the data is held in memory <caching-and-querysets>`.
Understand cached attributes
----------------------------
As well as caching of the whole ``QuerySet``, there is caching of the result of
attributes on ORM objects. In general, attributes that are not callable will be
cached. For example, assuming the :ref:`example weblog models
<queryset-model-example>`:
>>> entry = Entry.objects.get(id=1)
>>> entry.blog # Blog object is retrieved at this point
>>> entry.blog # cached version, no DB access
But in general, callable attributes cause DB lookups every time::
>>> entry = Entry.objects.get(id=1)
>>> entry.authors.all() # query performed
>>> entry.authors.all() # query performed again
Be careful when reading template code - the template system does not allow use
of parentheses, but will call callables automatically, hiding the above
distinction.
Be careful with your own custom properties - it is up to you to implement
caching.
Use the ``with`` template tag
-----------------------------
To make use of the caching behaviour of ``QuerySet``, you may need to use the
:ttag:`with` template tag.
Use ``iterator()``
------------------
When you have a lot of objects, the caching behaviour of the ``QuerySet`` can
cause a large amount of memory to be used. In this case,
:ref:`QuerySet.iterator() <queryset-iterator>` may help.
Do database work in the database rather than in Python
======================================================
For instance:
* At the most basic level, use :ref:`filter and exclude <queryset-api>` to
filtering in the database to avoid loading data into your Python process, only
to throw much of it away.
* Use :ref:`F() object query expressions <query-expressions>` to do filtering
against other fields within the same model.
* Use :ref:`annotate to do aggregation in the database <topics-db-aggregation>`.
If these aren't enough to generate the SQL you need:
Use ``QuerySet.extra()``
------------------------
A less portable but more powerful method is :ref:`QuerySet.extra()
<queryset-extra>`, which allows some SQL to be explicitly added to the query.
If that still isn't powerful enough:
Use raw SQL
-----------
Write your own :ref:`custom SQL to retrieve data or populate models
<topics-db-sql>`. Use ``django.db.connection.queries`` to find out what Django
is writing for you and start from there.
Retrieve everything at once if you know you will need it
========================================================
Hitting the database multiple times for different parts of a single 'set' of
data that you will need all parts of is, in general, less efficient than
retrieving it all in one query. This is particularly important if you have a
query that is executed in a loop, and could therefore end up doing many database
queries, when only one was needed. So:
Use ``QuerySet.select_related()``
---------------------------------
Understand :ref:`QuerySet.select_related() <select-related>` thoroughly, and use it:
* in view code,
* and in :ref:`managers and default managers <topics-db-managers>` where
appropriate. Be aware when your manager is and is not used; sometimes this is
tricky so don't make assumptions.
Don't retrieve things you don't need
====================================
Use ``QuerySet.values()`` and ``values_list()``
-----------------------------------------------
When you just want a dict/list of values, and don't need ORM model objects, make
appropriate usage of :ref:`QuerySet.values() <queryset-values>`.
These can be useful for replacing model objects in template code - as long as
the dicts you supply have the same attributes as those used in the template, you
are fine.
Use ``QuerySet.defer()`` and ``only()``
---------------------------------------
Use :ref:`defer() and only() <queryset-defer>` if there are database columns you
know that you won't need (or won't need in most cases) to avoid loading
them. Note that if you *do* use them, the ORM will have to go and get them in a
separate query, making this a pessimization if you use it inappropriately.
Use QuerySet.count()
--------------------
...if you only want the count, rather than doing ``len(queryset)``.
Use QuerySet.exists()
---------------------
...if you only want to find out if at least one result exists, rather than ``if
queryset``.
But:
Don't overuse ``count()`` and ``exists()``
------------------------------------------
If you are going to need other data from the QuerySet, just evaluate it.
For example, assuming an Email class that has a ``body`` attribute and a
many-to-many relation to User, the following template code is optimal:
.. code-block:: html+django
{% if display_inbox %}
{% with user.emails.all as emails %}
{% if emails %}
<p>You have {{ emails|length }} email(s)</p>
{% for email in emails %}
<p>{{ email.body }}</p>
{% endfor %}
{% else %}
<p>No messages today.</p>
{% endif %}
{% endwith %}
{% endif %}
It is optimal because:
1. Since QuerySets are lazy, this does no database if 'display_inbox' is False.
#. Use of ``with`` means that we store ``user.emails.all`` in a variable for
later use, allowing its cache to be re-used.
#. The line ``{% if emails %}`` causes ``QuerySet.__nonzero__()`` to be called,
which causes the ``user.emails.all()`` query to be run on the database, and
at the least the first line to be turned into an ORM object. If there aren't
any results, it will return False, otherwise True.
#. The use of ``{{ emails|length }}`` calls ``QuerySet.__len__()``, filling
out the rest of the cache without doing another query.
#. The ``for`` loop iterates over the already filled cache.
In total, this code does either one or zero database queries. The only
deliberate optimization performed is the use of the ``with`` tag. Using
``QuerySet.exists()`` or ``QuerySet.count()`` at any point would cause
additional queries.
Use ``QuerySet.update()`` and ``delete()``
------------------------------------------
Rather than retrieve a load of objects, set some values, and save them
individual, use a bulk SQL UPDATE statement, via :ref:`QuerySet.update()
<topics-db-queries-update>`. Similarly, do :ref:`bulk deletes
<topics-db-queries-delete>` where possible.
Note, however, that these bulk update methods cannot call the ``save()`` or ``delete()``
methods of individual instances, which means that any custom behaviour you have
added for these methods will not be executed, including anything driven from the
normal database object :ref:`signals <ref-signals>`.
Don't retrieve things you already have
======================================
Use foreign key values directly
-------------------------------
If you only need a foreign key value, use the foreign key value that is already on
the object you've got, rather than getting the whole related object and taking
its primary key. i.e. do::
entry.blog_id
instead of::
entry.blog.id