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Code Issues 32 Releases Wiki Activity

[6.0.x] Refs #25508 -- Used QuerySet.__repr__ in docs/ref/contrib/postgres/search.txt.

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Backport of efb96138b4af774c22ae6e949410b45d69960357 from main.
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Jacob Walls 2025-09-23 07:14:31 -04:00
parent 5d00bbd41d
commit fd94c90526
1 changed files with 11 additions and 11 deletions
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22
docs/ref/contrib/postgres/search.txt
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@ -27,7 +27,7 @@ single column in the database. For example:
.. code-block:: pycon
>>> Entry.objects.filter(body_text__search="Cheese")
[<Entry: Cheese on Toast recipes>, <Entry: Pizza Recipes>]
<QuerySet [<Entry: Cheese on Toast recipes>, <Entry: Pizza Recipes>]>
This creates a ``to_tsvector`` in the database from the ``body_text`` field
and a ``plainto_tsquery`` from the search term ``'Cheese'``, both using the
@ -52,7 +52,7 @@ To query against both fields, use a ``SearchVector``:
>>> Entry.objects.annotate(
... search=SearchVector("body_text", "blog__tagline"),
... ).filter(search="Cheese")
[<Entry: Cheese on Toast recipes>, <Entry: Pizza Recipes>]
<QuerySet [<Entry: Cheese on Toast recipes>, <Entry: Pizza Recipes>]>
The arguments to ``SearchVector`` can be any
:class:`~django.db.models.Expression` or the name of a field. Multiple
@ -67,7 +67,7 @@ For example:
>>> Entry.objects.annotate(
... search=SearchVector("body_text") + SearchVector("blog__tagline"),
... ).filter(search="Cheese")
[<Entry: Cheese on Toast recipes>, <Entry: Pizza Recipes>]
<QuerySet [<Entry: Cheese on Toast recipes>, <Entry: Pizza Recipes>]>
See :ref:`postgresql-fts-search-configuration` and
:ref:`postgresql-fts-weighting-queries` for an explanation of the ``config``
@ -142,7 +142,7 @@ order by relevancy:
>>> vector = SearchVector("body_text")
>>> query = SearchQuery("cheese")
>>> Entry.objects.annotate(rank=SearchRank(vector, query)).order_by("-rank")
[<Entry: Cheese on Toast recipes>, <Entry: Pizza recipes>]
<QuerySet [<Entry: Cheese on Toast recipes>, <Entry: Pizza recipes>]>
See :ref:`postgresql-fts-weighting-queries` for an explanation of the
``weights`` parameter.
@ -240,7 +240,7 @@ different language parsers and dictionaries as defined by the database:
>>> Entry.objects.annotate(
... search=SearchVector("body_text", config="french"),
... ).filter(search=SearchQuery("œuf", config="french"))
[<Entry: Pain perdu>]
<QuerySet [<Entry: Pain perdu>]>
The value of ``config`` could also be stored in another column:
@ -250,7 +250,7 @@ The value of ``config`` could also be stored in another column:
>>> Entry.objects.annotate(
... search=SearchVector("body_text", config=F("blog__language")),
... ).filter(search=SearchQuery("œuf", config=F("blog__language")))
[<Entry: Pain perdu>]
<QuerySet [<Entry: Pain perdu>]>
.. _postgresql-fts-weighting-queries:
@ -364,7 +364,7 @@ if it were an annotated ``SearchVector``:
>>> Entry.objects.update(search_vector=SearchVector("body_text"))
>>> Entry.objects.filter(search_vector="cheese")
[<Entry: Cheese on Toast recipes>, <Entry: Pizza recipes>]
<QuerySet [<Entry: Cheese on Toast recipes>, <Entry: Pizza recipes>]>
.. _PostgreSQL documentation: https://www.postgresql.org/docs/current/textsearch-features.html#TEXTSEARCH-UPDATE-TRIGGERS
@ -403,7 +403,7 @@ Usage example:
... ).filter(
... similarity__gt=0.3
... ).order_by("-similarity")
[<Author: Katy Stevens>, <Author: Stephen Keats>]
<QuerySet [<Author: Katy Stevens>, <Author: Stephen Keats>]>
``TrigramWordSimilarity``
-------------------------
@ -426,7 +426,7 @@ Usage example:
... ).filter(
... similarity__gt=0.3
... ).order_by("-similarity")
[<Author: Katy Stevens>]
<QuerySet [<Author: Katy Stevens>]>
``TrigramStrictWordSimilarity``
-------------------------------
@ -459,7 +459,7 @@ Usage example:
... ).filter(
... distance__lte=0.7
... ).order_by("distance")
[<Author: Katy Stevens>, <Author: Stephen Keats>]
<QuerySet [<Author: Katy Stevens>, <Author: Stephen Keats>]>
``TrigramWordDistance``
-----------------------
@ -482,7 +482,7 @@ Usage example:
... ).filter(
... distance__lte=0.7
... ).order_by("distance")
[<Author: Katy Stevens>]
<QuerySet [<Author: Katy Stevens>]>
``TrigramStrictWordDistance``
-----------------------------