MongoDB Write Operations
MongoDB write operations are the processes used to insert, update, delete, or modify data within a MongoDB database. Write operations are a critical aspect of database management, enabling data to be altered in real time. In MongoDB, common write operations include `insertOne`, `insertMany`, `updateOne`, `updateMany`, and `deleteOne`. Each of these operations serves a different purpose, such as adding new documents to a collection or updating the fields of existing documents. MongoDB provides an efficient, flexible system to handle writes at scale, including support for atomic operations at the document level, which is a key feature for applications that require high consistency and real-time updates.
https://en.wikipedia.org/wiki/MongoDB
For example, the `insertOne` operation in MongoDB is used to insert a single document into a collection, while `insertMany` can be used to insert multiple documents at once. MongoDB write operations also allow for the use of upserts, a combination of update and insert operations. An upsert ensures that if a document matching the specified criteria doesn't exist, a new document will be inserted. If a document with the matching criteria is found, it is updated with the new data. This feature simplifies the development process by eliminating the need to check for the existence of documents before performing operations, as MongoDB handles it automatically.
https://en.wikipedia.org/wiki/MongoDB
MongoDB also supports write concern and journaling to ensure data durability and consistency across distributed systems. Write concern determines the level of acknowledgment requested from MongoDB for write operations. For instance, a write operation may require acknowledgment from the primary replica, or from a majority of the nodes in a replica set, before it is considered successful. This allows developers to balance between data durability and performance, depending on the needs of their application. Write concern can be configured to match the consistency and availability requirements of the specific application, making MongoDB highly customizable for various use cases.