# \$1set
<a name="set-stage"></a>

New from version 8.0

Not supported by Elastic cluster.

The `$set` aggregation stage in Amazon DocumentDB allows you to add new fields or update existing field values in documentation during an aggregation pipeline.

**Parameters**
+ `expression`: The expression to evaluate. This can be any valid aggregation expression, including field references and arithmetic operations.

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

The following example demonstrates the use of the `$set` aggregation stage to calculate totals by multiplying the `quantity` field by the `price` field.

**Create sample documents**

```
db.inventory.insertMany([
  { item: "pencil", quantity: 100, price: 0.24},
  { item: "pen", quantity: 204, price: 1.78 }
]);
```

**Aggregation example**

```
db.inventory.aggregate([
  {
    $set: {
      total: { $multiply: ["$quantity", "$price"] }
    }
  }
])
```

**Output**

```
[
  {
    _id: ObjectId('69248951d66dcae121d2950d'),
    item: 'pencil',
    quantity: 100,
    price: 0.24,
    total: 24
  },
  {
    _id: ObjectId('69248951d66dcae121d2950e'),
    item: 'pen',
    quantity: 204,
    price: 1.78,
    total: 363.12
  }
]
```

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

To view a code example for using the `$set` 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 inventory = db.collection('inventory');

  const result = await inventory.aggregate([
      {
        $set: {
          total: { $multiply: ["$quantity", "$price"] }
        }
      }
  ]).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']
    inventory = db['inventory']

    result = list(inventory.aggregate([
      {
        "$set": {
          "total": { "$multiply": ["$quantity", "$price"] }
        }
      }
    ]))

    print(result)
    client.close()

example()
```

------