In this guide, you can learn how to specify which documents to return from a read
operation by using the following methods:
limit()
: Specifies the maximum number of documents to return from a query.
sort()
: Specifies the sort order for the returned documents.
skip()
: Specifies the number of documents to skip before returning query results.
The examples in this guide use the sample_restaurants.restaurants
collection
from the Atlas sample datasets. To learn how to create a
free MongoDB Atlas cluster and load the sample datasets, see the Get Started with PyMongo
tutorial.
To specify the maximum number of documents returned from a read operation,
call the limit()
method.
The following example finds all restaurants that have a cuisine
field value
of "Italian"
, and limits the results to 5 documents. Select the Synchronous
or Asynchronous tab to see the corresponding code:
results = restaurants.find({ "cuisine" : "Italian"}).limit(5) |
|
for restaurant in results: |
print(restaurant["name"]) |
Isle Of Capri Resturant Italian |
Arturo'S Italian |
Patsy'S Italian Restaurant Italian |
Piccola Venezia Italian |
Roadhouse Restaurant Italian |
results = restaurants.find({ "cuisine" : "Italian"}).limit(5) |
|
async for restaurant in results: |
print(restaurant["name"]) |
Isle Of Capri Resturant Italian |
Arturo'S Italian |
Patsy'S Italian Restaurant Italian |
Piccola Venezia Italian |
Roadhouse Restaurant Italian |
You can also limit the number of returned documents by specifying the limit
parameter in your find()
method. Select the Synchronous
or Asynchronous tab to see the corresponding code:
results = restaurants.find({ "cuisine" : "Italian"}, limit=5) |
|
for restaurant in results: |
print(restaurant["name"]) |
Isle Of Capri Resturant Italian |
Arturo'S Italian |
Patsy'S Italian Restaurant Italian |
Piccola Venezia Italian |
Roadhouse Restaurant Italian |
results = restaurants.find({ "cuisine" : "Italian"}, limit=5) |
|
async for restaurant in results: |
print(restaurant["name"]) |
Isle Of Capri Resturant Italian |
Arturo'S Italian |
Patsy'S Italian Restaurant Italian |
Piccola Venezia Italian |
Roadhouse Restaurant Italian |
Tip
The preceding examples return the first five documents returned by the query, in
no particular order. The following section describes how to return the documents
in a specified sort order.
To return documents in a specified order, call the sort()
method. The sort()
method takes two parameters: the field to sort the results by, and a sort direction. To
specify the sort direction, specify either pymongo.ASCENDING
or
pymongo.DESCENDING
. ASCENDING
sorts values from lowest to highest, and
DESCENDING
sorts them from highest to lowest. If you don't specify either
direction, the method defaults to sorting in ascending order.
The following example returns all documents with the cuisine
value of
"Italian"
, sorted in ascending order. Select the Synchronous or
Asynchronous tab to see the corresponding code:
results = restaurants.find({ "cuisine" : "Italian"}).sort("name", pymongo.ASCENDING) |
|
for restaurant in results: |
print(restaurant["name"]) |
(Lewis Drug Store) Locanda Vini E Olii |
101 Restaurant And Bar |
44 Sw Ristorante & Bar |
900 Park |
A Voce |
... |
Zucchero E Pomodori |
results = restaurants.find({ "cuisine" : "Italian"}).sort("name", pymongo.ASCENDING) |
|
async for restaurant in results: |
print(restaurant["name"]) |
(Lewis Drug Store) Locanda Vini E Olii |
101 Restaurant And Bar |
44 Sw Ristorante & Bar |
900 Park |
A Voce |
... |
Zucchero E Pomodori |
You can also sort documents by specifying the sort
parameter in your find()
method. The following example specifies the sort
parameter to return the
results in the same order as the preceding example. Select the Synchronous or
Asynchronous tab to see the corresponding code:
results = restaurants.find({ "cuisine" : "Italian"}, sort={"name": pymongo.ASCENDING} ) |
|
for restaurant in results: |
print(restaurant["name"]) |
(Lewis Drug Store) Locanda Vini E Olii |
101 Restaurant And Bar |
44 Sw Ristorante & Bar |
900 Park |
A Voce |
... |
Zucchero E Pomodori |
results = restaurants.find({ "cuisine" : "Italian"}, sort={"name": pymongo.ASCENDING} ) |
|
async for restaurant in results: |
print(restaurant["name"]) |
(Lewis Drug Store) Locanda Vini E Olii |
101 Restaurant And Bar |
44 Sw Ristorante & Bar |
900 Park |
A Voce |
... |
Zucchero E Pomodori |
To skip a specified number of documents before returning your query results,
call the skip()
method and pass in the number of documents to skip. The
skip()
method ignores the specified number of documents in your query
results and returns the rest.
The following example returns all documents that have a borough
field value
of "Manhattan"
, and skips the first 10 documents. Select the Synchronous
or Asynchronous tab to see the corresponding code:
results = restaurants.find({ "borough" : "Manhattan"}, skip=10) |
|
for restaurant in results: |
print(restaurant["name"]) |
Dorrian'S Red Hand Restaurant |
The Princeton Club |
Moran'S Chelsea |
La Parisienne Diner |
Jimmy'S Corner |
... |
results = restaurants.find({ "borough" : "Manhattan"}, skip=10) |
|
async for restaurant in results: |
print(restaurant["name"]) |
Dorrian'S Red Hand Restaurant |
The Princeton Club |
Moran'S Chelsea |
La Parisienne Diner |
Jimmy'S Corner |
... |
You can also skip returned documents by using the skip
parameter of the find()
method. The following example specifies the
same skip as the preceding example. Select the Synchronous or
Asynchronous tab to see the corresponding code:
results = restaurants.find({ "borough" : "Manhattan"}, skip=10) |
|
for restaurant in results: |
print(restaurant["name"]) |
Dorrian'S Red Hand Restaurant |
The Princeton Club |
Moran'S Chelsea |
La Parisienne Diner |
Jimmy'S Corner |
... |
results = restaurants.find({ "borough" : "Manhattan"}, skip=10) |
|
async for restaurant in results: |
print(restaurant["name"]) |
Dorrian'S Red Hand Restaurant |
The Princeton Club |
Moran'S Chelsea |
La Parisienne Diner |
Jimmy'S Corner |
... |
You can combine the limit()
, sort()
, and skip()
methods in a single
operation. This allows you to set a maximum number of sorted documents to
return, skipping a specified number of documents before returning.
The following example returns documents with the cuisine
value of
"Italian"
. The results are sorted in alphabetical order, skipping the first
10 documents. Select the Synchronous or Asynchronous tab
to see the corresponding code:
results = restaurants.find({ "cuisine" : "Italian"}) \ |
.sort("name", pymongo.ASCENDING) \ |
.limit(5) \ |
.skip(10) |
|
for restaurant in results: |
print(restaurant["name"]) |
Acqua |
Acqua Restaurant |
Acqua Santa |
Acquista Trattoria |
Acquolina Catering |
results = restaurants.find({ "cuisine" : "Italian"}) \ |
.sort("name", pymongo.ASCENDING) \ |
.limit(5) \ |
.skip(10) |
|
async for restaurant in results: |
print(restaurant["name"]) |
Acqua |
Acqua Restaurant |
Acqua Santa |
Acquista Trattoria |
Acquolina Catering |
Note
The order in which you call these methods doesn't change the documents
that are returned. The driver automatically reorders the calls to perform the
sort and skip operations first, and the limit operation afterward.
You can also limit, sort, and skip results by specifying them as
parameters in the find()
method. The following example specifies the
same query as the preceding example. Select the Synchronous or
Asynchronous tab to see the corresponding code:
results = restaurants.find({ "cuisine" : "Italian"}, limit=5, sort={"name": pymongo.ASCENDING}, skip=10) |
|
for restaurant in results: |
print(restaurant["name"]) |
Acqua |
Acqua Restaurant |
Acqua Santa |
Acquista Trattoria |
Acquolina Catering |
results = restaurants.find({ "cuisine" : "Italian"}, limit=5, sort={"name": pymongo.ASCENDING}, skip=10) |
|
async for restaurant in results: |
print(restaurant["name"]) |
Acqua |
Acqua Restaurant |
Acqua Santa |
Acquista Trattoria |
Acquolina Catering |
For more information about specifying a query, see Specify a Query.
For more information about retrieving documents, see Find Documents.
To learn more about any of the methods or types discussed in this
guide, see the following API Documentation: