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cursor.skip()

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  • Definition
  • Behavior
  • Pagination Example
cursor.skip(<offset>)

Important

mongo Shell Method

This page documents the mongo shell method, and does not refer to the MongoDB Node.js driver (or any other driver) method. For corresponding MongoDB driver API, refer to your specific MongoDB driver documentation instead.

Call the skip() method on a cursor to control where MongoDB begins returning results. This approach may be useful in implementing paginated results.

Note

You must apply skip() to the cursor before retrieving any documents from the database.

The skip() method has the following parameter:

Parameter
Type
Description
offset
number
The number of documents to skip in the results set.

If using skip() with sort(), be sure to include at least one field in your sort that contains unique values, before passing results to skip().

Sorting on fields that contain duplicate values may return an inconsistent sort order for those duplicate fields over multiple executions, especially when the collection is actively receiving writes.

The easiest way to guarantee sort consistency is to include the _id field in your sort query.

See Consistent sorting with the sort() method for more information.

The following JavaScript function uses skip() to paginate a collection by its _id field:

function printStudents(pageNumber, nPerPage) {
print( "Page: " + pageNumber );
db.students.find()
.sort( { _id: 1 } )
.skip( pageNumber > 0 ? ( ( pageNumber - 1 ) * nPerPage ) : 0 )
.limit( nPerPage )
.forEach( student => {
print( student.name );
} );
}

The skip() method requires the server to scan from the beginning of the input results set before beginning to return results. As the offset increases, skip() will become slower.

Range queries can use indexes to avoid scanning unwanted documents, typically yielding better performance as the offset grows compared to using skip() for pagination.

Use this procedure to implement pagination with range queries:

  • Choose a field such as _id which generally changes in a consistent direction over time and has a unique index to prevent duplicate values,

  • Query for documents whose field is less than the start value using the $lt and sort() operators, and

  • Store the last-seen field value for the next query.

For example, the following function uses the above procedure to print pages of student names from a collection, sorted approximately in order of newest documents first using the _id field (that is, in descending order):

function printStudents(startValue, nPerPage) {
let endValue = null;
db.students.find( { _id: { $lt: startValue } } )
.sort( { _id: -1 } )
.limit( nPerPage )
.forEach( student => {
print( student.name );
endValue = student._id;
} );
return endValue;
}

You may then use the following code to print all student names using this pagination function, using MaxKey to start from the largest possible key:

let currentKey = MaxKey;
while (currentKey !== null) {
currentKey = printStudents(currentKey, 10);
}

Note

While ObjectId values should increase over time, they are not necessarily monotonic. This is because they:

  • Only contain one second of temporal resolution, so ObjectId values created within the same second do not have a guaranteed ordering, and

  • Are generated by clients, which may have differing system clocks.

Returning paginated results in ascending order is similar to the previous, but uses $gt with an ascending sort order:

function printStudents(startValue, nPerPage) {
let endValue = null;
db.students.find( { _id: { $gt: startValue } } )
.sort( { _id: 1 } )
.limit( nPerPage )
.forEach( student => {
print( student.name );
endValue = student._id;
} );
return endValue;
}

Using this function is likewise similar, but with MinKey as the starting key:

let currentKey = MinKey;
while (currentKey !== null) {
currentKey = printStudents(currentKey, 10);
}

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cursor.size()