2016-06-26 00:32:56 +08:00
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=====================
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Model index reference
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=====================
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.. module:: django.db.models.indexes
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.. currentmodule:: django.db.models
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2016-06-20 23:50:05 +08:00
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Index classes ease creating database indexes. They can be added using the
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:attr:`Meta.indexes <django.db.models.Options.indexes>` option. This document
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explains the API references of :class:`Index` which includes the `index
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options`_.
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2016-06-26 00:32:56 +08:00
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.. admonition:: Referencing built-in indexes
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Indexes are defined in ``django.db.models.indexes``, but for convenience
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they're imported into :mod:`django.db.models`. The standard convention is
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to use ``from django.db import models`` and refer to the indexes as
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``models.<IndexClass>``.
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``Index`` options
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=================
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2019-10-31 20:33:53 +08:00
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.. class:: Index(fields=(), name=None, db_tablespace=None, opclasses=(), condition=None, include=None)
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2016-06-26 00:32:56 +08:00
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Creates an index (B-Tree) in the database.
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``fields``
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2017-03-21 06:30:32 +08:00
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----------
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2016-06-26 00:32:56 +08:00
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.. attribute:: Index.fields
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2018-03-08 23:56:55 +08:00
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A list or tuple of the name of the fields on which the index is desired.
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2016-06-26 00:32:56 +08:00
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2016-07-22 20:52:44 +08:00
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By default, indexes are created with an ascending order for each column. To
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define an index with a descending order for a column, add a hyphen before the
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field's name.
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For example ``Index(fields=['headline', '-pub_date'])`` would create SQL with
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``(headline, pub_date DESC)``. Index ordering isn't supported on MySQL. In that
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case, a descending index is created as a normal index.
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2016-06-26 00:32:56 +08:00
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``name``
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--------
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.. attribute:: Index.name
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The name of the index. If ``name`` isn't provided Django will auto-generate a
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name. For compatibility with different databases, index names cannot be longer
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than 30 characters and shouldn't start with a number (0-9) or underscore (_).
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2016-08-08 19:50:25 +08:00
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2019-04-24 18:58:49 +08:00
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.. admonition:: Partial indexes in abstract base classes
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You must always specify a unique name for an index. As such, you
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cannot normally specify a partial index on an abstract base class, since
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the :attr:`Meta.indexes <django.db.models.Options.indexes>` option is
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inherited by subclasses, with exactly the same values for the attributes
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2019-07-05 20:15:41 +08:00
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(including ``name``) each time. To work around name collisions, part of the
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name may contain ``'%(app_label)s'`` and ``'%(class)s'``, which are
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replaced, respectively, by the lowercased app label and class name of the
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concrete model. For example ``Index(fields=['title'],
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name='%(app_label)s_%(class)s_title_index')``.
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2019-04-24 18:58:49 +08:00
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2017-06-28 03:15:15 +08:00
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``db_tablespace``
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-----------------
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.. attribute:: Index.db_tablespace
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The name of the :doc:`database tablespace </topics/db/tablespaces>` to use for
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this index. For single field indexes, if ``db_tablespace`` isn't provided, the
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index is created in the ``db_tablespace`` of the field.
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If :attr:`.Field.db_tablespace` isn't specified (or if the index uses multiple
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fields), the index is created in tablespace specified in the
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:attr:`~django.db.models.Options.db_tablespace` option inside the model's
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``class Meta``. If neither of those tablespaces are set, the index is created
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in the same tablespace as the table.
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2016-08-08 19:50:25 +08:00
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.. seealso::
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For a list of PostgreSQL-specific indexes, see
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:mod:`django.contrib.postgres.indexes`.
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2017-10-12 01:25:52 +08:00
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``opclasses``
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-------------
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.. attribute:: Index.opclasses
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The names of the `PostgreSQL operator classes
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<https://www.postgresql.org/docs/current/indexes-opclass.html>`_ to use for
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2017-10-12 01:25:52 +08:00
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this index. If you require a custom operator class, you must provide one for
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each field in the index.
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For example, ``GinIndex(name='json_index', fields=['jsonfield'],
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opclasses=['jsonb_path_ops'])`` creates a gin index on ``jsonfield`` using
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``jsonb_path_ops``.
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``opclasses`` are ignored for databases besides PostgreSQL.
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:attr:`Index.name` is required when using ``opclasses``.
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2018-09-13 15:34:02 +08:00
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``condition``
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-------------
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.. attribute:: Index.condition
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If the table is very large and your queries mostly target a subset of rows,
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it may be useful to restrict an index to that subset. Specify a condition as a
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:class:`~django.db.models.Q`. For example, ``condition=Q(pages__gt=400)``
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indexes records with more than 400 pages.
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:attr:`Index.name` is required when using ``condition``.
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.. admonition:: Restrictions on PostgreSQL
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2019-06-24 14:58:56 +08:00
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PostgreSQL requires functions referenced in the condition to be marked as
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2018-09-13 15:34:02 +08:00
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IMMUTABLE. Django doesn't validate this but PostgreSQL will error. This
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means that functions such as :ref:`date-functions` and
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:class:`~django.db.models.functions.Concat` aren't accepted. If you store
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dates in :class:`~django.db.models.DateTimeField`, comparison to
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:class:`~datetime.datetime` objects may require the ``tzinfo`` argument
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to be provided because otherwise the comparison could result in a mutable
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function due to the casting Django does for :ref:`lookups <field-lookups>`.
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.. admonition:: Restrictions on SQLite
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SQLite `imposes restrictions <https://www.sqlite.org/partialindex.html>`_
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on how a partial index can be constructed.
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.. admonition:: Oracle
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Oracle does not support partial indexes. Instead, partial indexes can be
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emulated using functional indexes. Use a :doc:`migration
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</topics/migrations>` to add the index using :class:`.RunSQL`.
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.. admonition:: MySQL and MariaDB
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The ``condition`` argument is ignored with MySQL and MariaDB as neither
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supports conditional indexes.
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2019-10-31 20:33:53 +08:00
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``include``
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-----------
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.. attribute:: Index.include
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.. versionadded:: 3.2
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A list or tuple of the names of the fields to be included in the covering index
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as non-key columns. This allows index-only scans to be used for queries that
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select only included fields (:attr:`~Index.include`) and filter only by indexed
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fields (:attr:`~Index.fields`).
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For example::
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Index(name='covering_index', fields=['headline'], include=['pub_date'])
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will allow filtering on ``headline``, also selecting ``pub_date``, while
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fetching data only from the index.
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Using ``include`` will produce a smaller index than using a multiple column
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index but with the drawback that non-key columns can not be used for sorting or
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filtering.
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``include`` is ignored for databases besides PostgreSQL.
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:attr:`Index.name` is required when using ``include``.
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See the PostgreSQL documentation for more details about `covering indexes`_.
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.. admonition:: Restrictions on PostgreSQL
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PostgreSQL 11+ only supports covering B-Tree indexes, and PostgreSQL 12+
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also supports covering :class:`GiST indexes
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<django.contrib.postgres.indexes.GistIndex>`.
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.. _covering indexes: https://www.postgresql.org/docs/current/indexes-index-only-scans.html
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