Comparison query operators

Comparison query operators allow you to compare the elements in a document to a given query value.

Go to the comparison query operators:

Operator	Description
$eq	Selects documents with elements that are equal to a given query value
$gt	Selects documents with elements that are greater than a given query value
$gte	Selects documents greater than or equal to specified query
$lt	Selects documents with elements that are less than a given query value
$lte	Selects documents with elements less than or equal to given query value
$in	Selects documents that contain the elements in a given array query
$ne	Selects documents with elements that are not equal to given query value
$nin	Selects documents that do not contain the elements in a given array query

For the examples in this section, insert the following documents into the employees collection:

db.employees.insertMany([
  {
    name: {
      first: 'Earl',
      last: 'Thomas'
    },
    employeeID: 1234,
    age: 23,
    role: 'salesperson',
    catalog: ['printer', 'cardboard', 'crayons', 'books']
  },
  {
    name: {
      first: 'Sam',
      last: 'Johnson'
    },
    employeeID: 2234,
    age: 35,
    role: 'salesperson',
    catalog: ['cabinet', 'fridge', 'blender', 'utensils']
  },
  {
    name: {
      first: 'Clarke',
      last: 'Dane'
    },
    employeeID: 3234,
    age: 21,
    role: 'salesperson',
    catalog: ['printer', 'pencils', 'crayons', 'toys']
  }
])

$eq

Syntax: { <field>: { $eq: <element> } }

To select documents that exactly match a given query value, use the $eq operator.

This operator can be used to match values of different types, including documents, array, embedded documents, etc.

Example: The following operation queries the employees collection for all documents where the field age equals 21.

db.employees.find({
  age: {
    $eq: 21
  }
})

The response returns a single document that matches the query:

[
  {
    _id: ObjectId("639a3cce071b6bed396a8f0e"),
    name: { first: 'Clarke', last: 'Dane' },
    employeeID: 3234,
    age: 21,
    role: 'salesperson',
    catalog: ['printer', 'pencils', 'crayons', 'toys']
  }
]

Example: To query values in an embedded document, use dot notation. The following operation queries the employees collection for documents that match the field first in the embedded document name.

db.employees.find({
  'name.first': {
    $eq: 'Earl'
  }
})

The response returns a single document that matches the query:

[
  {
    _id: ObjectId("639a3cce071b6bed396a8f0c"),
    name: { first: 'Earl', last: 'Thomas' },
    employeeID: 1234,
    age: 23,
    role: 'salesperson',
    catalog: ['printer', 'cardboard', 'crayons', 'books']
  }
]

$gt

Syntax: { <field>: { $gt: <element> } }

To identify documents containing elements that have a greater value than the specified one in the query, use the $gt operator.

Example: Use the following operation to query for all the documents in the employees collection where the field age is greater than 21.

db.employees.find({
  age: {
    $gt: 21
  }
})

The output:

[
  {
    _id: ObjectId("639a3cce071b6bed396a8f0c"),
    name: { first: 'Earl', last: 'Thomas' },
    employeeID: 1234,
    age: 23,
    role: 'salesperson',
    catalog: ['printer', 'cardboard', 'crayons', 'books']
  },
  {
    _id: ObjectId("639a3cce071b6bed396a8f0d"),
    name: { first: 'Sam', last: 'Johnson' },
    employeeID: 2234,
    age: 35,
    role: 'salesperson',
    catalog: ['cabinet', 'fridge', 'blender', 'utensils']
  }
]

$gte

Syntax: { <field>: { $gte: <element> } }

Use the $gte to select document with elements that are greater than or equal to a specified value.

Example: The following operation selects documents based on the specified query, where the field age is greater than or equal to 21.

db.employees.find({
  age: {
    $gte: 21
  }
})

The output:

[
  {
    _id: ObjectId("639a3cce071b6bed396a8f0c"),
    name: { first: 'Earl', last: 'Thomas' },
    employeeID: 1234,
    age: 23,
    role: 'salesperson',
    catalog: ['printer', 'cardboard', 'crayons', 'books']
  },
  {
    _id: ObjectId("639a3cce071b6bed396a8f0d"),
    name: { first: 'Sam', last: 'Johnson' },
    employeeID: 2234,
    age: 35,
    role: 'salesperson',
    catalog: ['cabinet', 'fridge', 'blender', 'utensils']
  },
  {
    _id: ObjectId("639a3cce071b6bed396a8f0e"),
    name: { first: 'Clarke', last: 'Dane' },
    employeeID: 3234,
    age: 21,
    role: 'salesperson',
    catalog: ['printer', 'pencils', 'crayons', 'toys']
  }
]

$lt

Syntax: { <field>: { $lt: <element> } }

Contrary to the $gt operator, the $lt operator is ideal for selecting documents with elements that are of a lesser value than that of the specified query.

Example: The following operation queries for documents where the field age is less than 25.

db.employees.find({
  age: {
    $lt: 25
  }
})

The output:

[
  {
    _id: ObjectId("639a3cce071b6bed396a8f0c"),
    name: { first: 'Earl', last: 'Thomas' },
    employeeID: 1234,
    age: 23,
    role: 'salesperson',
    catalog: ['printer', 'cardboard', 'crayons', 'books']
  },
  {
    _id: ObjectId("639a3cce071b6bed396a8f0e"),
    name: { first: 'Clarke', last: 'Dane' },
    employeeID: 3234,
    age: 21,
    role: 'salesperson',
    catalog: ['printer', 'pencils', 'crayons', 'toys']
  }
]

$lte

Syntax: { <field>: { $lte: <element> } }

The $lte operator is the opposite of the $gte operator. Use the $lte operator to select documents with elements that are less than or equal to the specified query value.

Example: The following operation queries for documents where the field age is less than or equal to 21.

db.employees.find({
  age: {
    $lte: 21
  }
})

The output:

[
  {
    _id: ObjectId("639a3cce071b6bed396a8f0e"),
    name: { first: 'Clarke', last: 'Dane' },
    employeeID: 3234,
    age: 21,
    role: 'salesperson',
    catalog: ['printer', 'pencils', 'crayons', 'toys']
  }
]

$in

Syntax: { <field>: { $in: [<element1>, <element2>, ... <elementN> ] } }

To select documents containing any of the listed elements in a specified array field, use the $in operator.

Example: The following operation queries the employees collection for documents where the value of the field age is either 21 or 35.

db.employees.find({
  age: {
    $in: [21, 35]
  }
})

The output:

[
  {
    _id: ObjectId("639a3cce071b6bed396a8f0d"),
    name: { first: 'Sam', last: 'Johnson' },
    employeeID: 2234,
    age: 35,
    role: 'salesperson',
    catalog: ['cabinet', 'fridge', 'blender', 'utensils']
  },
  {
    _id: ObjectId("639a3cce071b6bed396a8f0e"),
    name: { first: 'Clarke', last: 'Dane' },
    employeeID: 3234,
    age: 21,
    role: 'salesperson',
    catalog: ['printer', 'pencils', 'crayons', 'toys']
  }
]

$ne

Syntax: { <field>: { $ne: <element> } }

Use the $ne operator to select all the documents with elements that are not equal to a given query.

Example: The following operation queries the employees collection for documents where the field age is not equal to 21.

db.employees.find({
  age: {
    $ne: 21
  }
})

The output:

[
  {
    _id: ObjectId("639a3cce071b6bed396a8f0c"),
    name: { first: 'Earl', last: 'Thomas' },
    employeeID: 1234,
    age: 23,
    role: 'salesperson',
    catalog: ['printer', 'cardboard', 'crayons', 'books']
  },
  {
    _id: ObjectId("639a3cce071b6bed396a8f0d"),
    name: { first: 'Sam', last: 'Johnson' },
    employeeID: 2234,
    age: 35,
    role: 'salesperson',
    catalog: ['cabinet', 'fridge', 'blender', 'utensils']
  }
]

$nin

Syntax: { <field>: { $nin: [ <element1>, <element2> ... <elementN> ] } }

The $nin does exactly the opposite of the $in operator. Use the $nin operator when selecting documents that do match or contain any of the elements listed in an array query.

Example: The following operation queries the employees collection for documents where the value of the field age is not 21 or 35.

db.employees.find({
  age: {
    $nin: [21, 35]
  }
})

The output:

[
  {
    _id: ObjectId("639a3cce071b6bed396a8f0c"),
    name: { first: 'Earl', last: 'Thomas' },
    employeeID: 1234,
    age: 23,
    role: 'salesperson',
    catalog: ['printer', 'cardboard', 'crayons', 'books']
  }
]