Updating data in Azure Cosmos DB for MongoDB

  • Applies to: ✅ MongoDB

Important

Are you looking to migrate an existing MongoDB application or use MongoDB Query Language (MQL) features? Consider Azure DocumentDB.

Are you looking for a database solution for high-scale scenarios with a 99.999% availability service level agreement (SLA), instant autoscale, and automatic failover across multiple regions? Consider Azure Cosmos DB for NoSQL.

One of the most basic operations is updating data in a collection. This article covers everything you need to know about updating data by using the Mongo Shell (Mongosh).

Using updateOne()

The updateOne() method updates the first document that matches a specified filter. The method takes two parameters:

  • filter: A document that specifies the criteria for the update. Use the filter to match the documents in the collection that you want to update. The filter document must be a valid query document.

  • update: A document that specifies the update operations to perform on the matching documents. The update document must be a valid update document.

db.collection.updateOne(
   <filter>,
   <update>
)

For example, to update the name of a customer with _id equal to 1, use the following command:

db.customers.updateOne(
   { _id: 1 },
   { $set: { name: "Jane Smith" } }
)

In the preceding example, db.customers is the collection name, { _id: 1 } is the filter that matches the first document with _id equal to 1, and { $set: { name: "Jane Smith" } } is the update operation that sets the name field of the matched document to "Jane Smith".

You can also use other update operators like $inc, $mul, $rename, and $unset to update the data.

Using updateMany()

The updateMany() method updates all documents that match a specified filter. The method takes two parameters:

  • filter: A document that specifies the criteria for the update. Use the filter to match the documents in the collection that you want to update. The filter document must be a valid query document.
  • update: A document that specifies the update operations to perform on the matching documents. The update document must be a valid update document.
db.collection.updateMany(
   <filter>,
   <update>
)

For example, to update the name of all customers that live in "New York", you can use the following command:

db.customers.updateMany(
   { city: "New York" },
   { $set: { name: "Jane Smith" } }
)

In this example, db.customers is the collection name, { city: "New York" } is the filter that matches all the documents that have a city field equal to "New York", and { $set: { name: "Jane Smith" } } is the update operation that sets the name field of all the matched documents to "Jane Smith".

You can also use other update operators like $inc, $mul, $rename, and $unset to update the data.

Next steps

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