# \$1literal
<a name="literal"></a>

The `$literal` operator in Amazon DocumentDB is used to represent a literal value within an aggregation pipeline stage. It allows you to include a specific value, such as a number, string, or boolean, without interpreting it as a field reference or expression.

This operator is particularly useful when you need to include a literal value as part of a more complex aggregation pipeline, such as when building dynamic query filters or performing calculations.

**Parameters**

None

## Example (MongoDB Shell)
<a name="literal-examples"></a>

The following example demonstrates the use of the `$literal` operator to include a literal value in an aggregation pipeline. The `$literal` operator is used to include the value 18 as a literal value in the \$1gt expression. This allows the aggregation pipeline to compare the age field against the literal value 18 to determine if the person is an adult.

**Create sample documents**

```
db.collection.insertMany([
  { "name": "John Doe", "age": 30, "city": "New York" },
  { "name": "Jane Doe", "age": 25, "city": "Los Angeles" },
  { "name": "Bob Smith", "age": 35, "city": "Chicago" }
]);
```

**Query example**

```
db.collection.aggregate([
  {
    $project: {
      name: 1,
      age: 1,
      city: 1,
      isAdult: { $gt: ["$age", { $literal: 18 }] }
    }
  }
]);
```

**Output**

```
[
  {
    "_id": ObjectId("601234567890abcdef012345"),
    "name": "John Doe",
    "age": 30,
    "city": "New York",
    "isAdult": true
  },
  {
    "_id": ObjectId("601234567890abcdef012346"),
    "name": "Jane Doe",
    "age": 25,
    "city": "Los Angeles",
    "isAdult": true
  },
  {
    "_id": ObjectId("601234567890abcdef012347"),
    "name": "Bob Smith",
    "age": 35,
    "city": "Chicago",
    "isAdult": true
  }
]
```

## Code examples
<a name="literal-code"></a>

To view a code example for using the `$literal` command, choose the tab for the language that you want to use:

------
#### [ Node.js ]

```
const { MongoClient } = require('mongodb');

async function example() {
  const client = await MongoClient.connect('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false');
  const db = client.db('test');
  const collection = db.collection('collection');

  const result = await collection.aggregate([
    {
      $project: {
        name: 1,
        age: 1,
        city: 1,
        isAdult: { $gt: ["$age", { $literal: 18 }] }
      }
    }
  ]).toArray();

  console.log(result);
  client.close();
}

example();
```

------
#### [ Python ]

```
from pymongo import MongoClient

def example():
    client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false')
    db = client.test
    collection = db.collection

    result = list(collection.aggregate([
        {
            '$project': {
                'name': 1,
                'age': 1,
                'city': 1,
                'isAdult': { '$gt': ["$age", { '$literal': 18 }] }
            }
        }
    ]))

    print(result)
    client.close()

example()
```

------