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$ne

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$ne

Syntax: { field: { $ne: value } }

$ne selects the documents where the value of the field is not equal to the specified value. This includes documents that do not contain the field.

For comparison of different BSON type values, see the specified BSON comparison order.

The following examples use the inventory collection. Create the collection:

db.inventory.insertMany( [
{
"item": "nuts", "quantity": 30,
"carrier": { "name": "Shipit", "fee": 3 }
},
{
"item": "bolts", "quantity": 50,
"carrier": { "name": "Shipit", "fee": 4 }
},
{
"item": "washers", "quantity": 10,
"carrier": { "name": "Shipit", "fee": 1 }
}
] )

Select all documents in the inventory collection where quantity is not equal to 20:

db.inventory.find( { quantity: { $ne: 20 } } )

The query will also select documents that do not have the quantity field.

Example output:

{
_id: ObjectId("61ba667dfe687fce2f042420"),
item: 'nuts',
quantity: 30,
carrier: { name: 'Shipit', fee: 3 }
},
{
_id: ObjectId("61ba667dfe687fce2f042421"),
item: 'bolts',
quantity: 50,
carrier: { name: 'Shipit', fee: 4 }
},
{
_id: ObjectId("61ba667dfe687fce2f042422"),
item: 'washers',
quantity: 10,
carrier: { name: 'Shipit', fee: 1 }
}

The following example sets the price field based on a $ne comparison against a field in an embedded document.

db.inventory.updateMany( { "carrier.fee": { $ne: 1 } }, { $set: { "price": 9.99 } } )

Example output:

{
_id: ObjectId("61ba66e2fe687fce2f042423"),
item: 'nuts',
quantity: 30,
carrier: { name: 'Shipit', fee: 3 },
price: 9.99
},
{
_id: ObjectId("61ba66e2fe687fce2f042424"),
item: 'bolts',
quantity: 50,
carrier: { name: 'Shipit', fee: 4 },
price: 9.99
},
{
_id: ObjectId("61ba66e2fe687fce2f042425"),
item: 'washers',
quantity: 10,
carrier: { name: 'Shipit', fee: 1 }
}

This updateMany() operation searches for an embedded document, carrier, with a subfield named fee. It sets { price: 9.99 } in each document where fee has a value that does not equal 1 or where the fee subfield does not exist.

The inequality operator $ne is not very selective since it often matches a large portion of the index. As a result, in many cases, a $ne query with an index may perform no better than a $ne query that must scan all documents in a collection. See also Query Selectivity.

Tip

See also:

  • find()

  • $set

←  $lte$nin →

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