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cursor.max()

Definition

cursor.max()

Specifies the exclusive upper bound for a specific index in order to constrain the results of find(). max() provides a way to specify an upper bound on compound key indexes.

The max() method has the following parameter:

Parameter	Type	Description
indexBounds	document	The exclusive upper bound for the index keys.

The indexBounds parameter has the following prototype form:

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{ field1: <max value>, field2: <max value2> ... fieldN:<max valueN> }

The fields correspond to all the keys of a particular index in order. You can explicitly specify the particular index with the hint() method. Otherwise, mongod selects the index using the fields in the indexBounds; however, if multiple indexes exist on same fields with different sort orders, the selection of the index may be ambiguous.

See also

min().

max() exists primarily to support the mongos (sharding) process, and is a shell wrapper around the query modifier $max.

Note

Deprecated in the mongo Shell since v3.2

Starting in v3.2, the $max operator is deprecated in the mongo shell. In the mongo shell, use cursor.max() instead.

Behavior

Interaction with Index Selection

Because max() requires an index on a field, and forces the query to use this index, you may prefer the $lt operator for the query if possible. Consider the following example:

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db.products.find( { _id: 7 } ).max( { price: 1.39 } )

The query will use the index on the price field, even if the index on _id may be better.

Index Bounds

If you use max() with min() to specify a range:

• the index bounds specified in min() and max() must both refer to the keys of the same index.

• the bound specified by max() must be greater than the bound specified by min().

  Changed in version 3.4.16.

max() without min()

The min and max operators indicate that the system should avoid normal query planning. Instead they construct an index scan where the index bounds are explicitly specified by the values given in min and max.

Warning

If one of the two boundaries is not specified, the query plan will be an index scan that is unbounded on one side. This may degrade performance compared to a query containing neither operator, or one that uses both operators to more tightly constrain the index scan.

Example

This example assumes a collection named products that holds the following documents:

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{ "_id" : 6, "item" : "apple", "type" : "cortland", "price" : 1.29 }
{ "_id" : 2, "item" : "apple", "type" : "fuji", "price" : 1.99 }
{ "_id" : 1, "item" : "apple", "type" : "honey crisp", "price" : 1.99 }
{ "_id" : 3, "item" : "apple", "type" : "jonagold", "price" : 1.29 }
{ "_id" : 4, "item" : "apple", "type" : "jonathan", "price" : 1.29 }
{ "_id" : 5, "item" : "apple", "type" : "mcintosh", "price" : 1.29 }
{ "_id" : 7, "item" : "orange", "type" : "cara cara", "price" : 2.99 }
{ "_id" : 10, "item" : "orange", "type" : "navel", "price" : 1.39 }
{ "_id" : 9, "item" : "orange", "type" : "satsuma", "price" : 1.99 }
{ "_id" : 8, "item" : "orange", "type" : "valencia", "price" : 0.99 }

The collection has the following indexes:

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{ "_id" : 1 }
{ "item" : 1, "type" : 1 }
{ "item" : 1, "type" : -1 }
{ "price" : 1 }

• Using the ordering of { item: 1, type: 1 } index, max() limits the query to the documents that are below the bound of item equal to apple and type equal to jonagold:

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  db.products.find().max( { item: 'apple', type: 'jonagold' } ).hint( { item: 1, type: 1 } )
  

  The query returns the following documents:

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  { "_id" : 6, "item" : "apple", "type" : "cortland", "price" : 1.29 }
  { "_id" : 2, "item" : "apple", "type" : "fuji", "price" : 1.99 }
  { "_id" : 1, "item" : "apple", "type" : "honey crisp", "price" : 1.99 }
  

  If the query did not explicitly specify the index with the hint() method, it is ambiguous as to whether mongod would select the { item: 1, type: 1 } index ordering or the { item: 1, type: -1 } index ordering.

• Using the ordering of the index { price: 1 }, max() limits the query to the documents that are below the index key bound of price equal to 1.99 and min() limits the query to the documents that are at or above the index key bound of price equal to 1.39:

  Note

  Changed in version 3.4.16: The bound specified by max() must be greater than the bound specified by min().

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  db.products.find().min( { price: 1.39 } ).max( { price: 1.99 } ).hint( { price: 1 } )
  

  The query returns the following documents:

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  { "_id" : 10, "item" : "orange", "type" : "navel", "price" : 1.39 }
  

←   cursor.map() cursor.maxScan()  →

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