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127 changes: 127 additions & 0 deletions source/atlas-search.txt
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.. _pymongo-atlas-search:

============
Atlas Search
============

.. contents:: On this page
:local:
:backlinks: none
:depth: 2
:class: singlecol

.. facet::
:name: genre
:values: reference

.. meta::
:keywords: search, atlas, read

Overview
--------

In this guide, you can learn how to query an Atlas Search index and use advanced search

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and use advanced full-text search..

functionality for your {+driver-short+} applications. You can query a search index by
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functionality for your {+driver-short+} applications. You can query a search index by
functionality in your {+driver-short+} applications. You can query a search index by

using a ``$search`` aggregation pipeline stage.

To learn more about the ``$search`` pipeline stage, see the :manual:`$search
</reference/operator/aggregation/search/>` guide in the {+mdb-server+} manual.

.. note:: Only Available on Atlas for MongoDB v4.2 and Later

The ``$search`` aggregation-pipeline operator is available only for collections hosted
on :atlas:`MongoDB Atlas </>` clusters running MongoDB v4.2 or later that are
covered by an :atlas:`Atlas search index </reference/atlas-search/index-definitions/>`.
To learn more about the required setup and the functionality of this operator,
see the :ref:`Atlas Search <fts-top-ref>` documentation.

Sample Data
~~~~~~~~~~~

The examples in this guide use the ``sample_mflix.movies`` collection
from the :atlas:`Atlas sample datasets </sample-data>`. To learn how to create a
free MongoDB Atlas cluster and load the sample datasets, see
:ref:`<pymongo-get-started>`.

Create an Atlas Search Index
----------------------------

Before you can perform a search on an Atlas collection, you must first create an **Atlas
Search index** on the collection. An Atlas Search index is a data structure that
categorizes data in a searchable format. To learn how to create an Atlas Search Index
see :ref:`pymongo-atlas-search-index`.
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categorizes data in a searchable format. To learn how to create an Atlas Search Index
see :ref:`pymongo-atlas-search-index`.
categorizes data in a searchable format. To learn how to create an Atlas Search Index,
see :ref:`pymongo-atlas-search-index`.


Search Your Data
----------------

To use the ``$search`` aggregation pipeline stage, you must specify an Atlas Search query
operator that indicates the type of query you want to run. You can also optionally specify
a collector that groups results by values or ranges. To view a table of all the operators
and collectors available with Atlas Search, see :atlas:`Use Operators and Collectors in
Atlas Search Queries </atlas-search/operators-and-collectors>`.

The following example uses the ``phrase`` operator, which performs a search for documents
that contain an ordered sequence of terms. To learn more about the ``phrase`` operator, see
:atlas:`Phrase </atlas-search/phrase>` in the Atlas guide.
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that contain an ordered sequence of terms. To learn more about the ``phrase`` operator, see
:atlas:`Phrase </atlas-search/phrase>` in the Atlas guide.
that contain an ordered sequence of terms. To learn more about the ``phrase`` operator, see the
:atlas:`Phrase </atlas-search/phrase>` guide in the MongoDB Atlas documentation.


The example performs a basic search of the ``title`` field for the query string ``"new york"``.
The query also includes the following stages:

- :pipeline:`$limit`, to limit the output to 10 results.
- :pipeline:`$project`, to exclude all fields except
``title`` and add a field named ``score``.

.. io-code-block::
:copyable: true

.. input::
:language: python

client = pymongo.MongoClient("<connection-string>")
result = client["sample_mflix"]["movies"].aggregate([
{
"$search": {
"index": "pymongoindex",
"phrase": {
"path": "title",
"query": "new york"
}
}
},
{ "$limit": 10 },
{
"$project": {
"_id": 0,
"title": 1,
"score": { "$meta": "searchScore" }
}
}
])

for i in result:
print(i)

.. output::
:language: none
:visible: false

{ title: 'New York, New York', score: 6.786321640014648 }
{ title: 'New York', score: 6.258549213409424 }
{ title: 'New York Stories', score: 5.3813982009887695 }
{ title: 'New York Minute', score: 5.3813982009887695 }
{ title: 'Synecdoche, New York', score: 5.3813982009887695 }
{ title: 'New York Doll', score: 5.3813982009887695 }
{ title: 'Little New York', score: 5.3813982009887695 }
{ title: 'Escape from New York', score: 4.719893455505371 }
{ title: 'Naked in New York', score: 4.719893455505371 }
{ title: 'Autumn in New York', score: 4.719893455505371 }

Additional Information
----------------------

To learn more about the different Atlas Search :atlas:`operators
</atlas-search/operators-and-collectors>` and other queries you can run, see the
Atlas Search :atlas:`documentation </atlas-search>`.

You can view more query examples througout the Atlas :atlas:`documentation
</atlas-search>`.
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S: It's not entirely clear where each of these links will take you until you click on them. Also this section links to the same page twice, so I think we can eliminate the first link to the general Atlas Search docs.

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To learn more about the different Atlas Search :atlas:`operators
</atlas-search/operators-and-collectors>` and other queries you can run, see the
Atlas Search :atlas:`documentation </atlas-search>`.
You can view more query examples througout the Atlas :atlas:`documentation
</atlas-search>`.
To learn more about the available Atlas Search operators, see the :atlas:`Operators and Collectors </atlas-search/operators-and-collectors>` guide in the MongoDB Atlas documentation.
For more information about Atlas Search, and to view more query examples, see the
:atlas:`Atlas Search documentation </atlas-search>`.

1 change: 1 addition & 0 deletions source/index.txt
Original file line number Diff line number Diff line change
Expand Up @@ -18,6 +18,7 @@ MongoDB {+driver-short+} Documentation
Write Data </write-operations>
Read Data </read>
Run a Database Command </run-command>
Atlas Search </atlas-search>
Indexes </indexes>
Aggregation </aggregation>
Security </security>
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