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db.collection.insertOne(document)
Replace collection with the name of the collection where you want to insert the document, and document with the JSON object representing the document you want to insert.
For example, to insert a new document into a collection named “users”, you would use the following command in the MongoDB shell:
db.users.insertOne({ name: "John Doe", age: 30, email: "johndoe@example.com" })
This command inserts a single document with the specified fields (name, age, email) into the “users” collection.
If you want to insert multiple documents into a collection, you can use the db.collection.insertMany() method. The syntax is similar, but you provide an array of documents instead of a single document:
db.collection.insertMany([document1, document2, document3, ...])
For example, to insert multiple documents into the “users” collection, you would use the following command:
db.users.insertMany([
{ name: "Jane Smith", age: 25, email: "janesmith@example.com" },
{ name: "Bob Johnson", age: 35, email: "bobjohnson@example.com" },
{ name: "Alice Brown", age: 28, email: "alicebrown@example.com" }
])
This command inserts three documents into the “users” collection at once.
Remember that when inserting documents, the fields and values must adhere to the JSON format, and the collection must already exist in the database.
use mydatabase
Once you are in the desired database, you can insert a document into a collection using the db.collection.insertOne() method. For instance, to insert a document into a collection named “users”, you would execute the following command:
db.users.insertOne({ name: "John Doe", age: 30, email: "johndoe@example.com" })
This command inserts a single document with the specified fields (name, age, email) into the “users” collection.
When inserting documents into MongoDB collections, you have various options to customize the insertion behavior. Some commonly used options include:
writeConcern: Specifies the write concern for the operation, controlling the acknowledgment level and the number of replicas that must acknowledge the write.ordered: If set totrue, specifies that the order of the documents in the array during aninsertMany()operation should be maintained. If set tofalse, the documents can be inserted in parallel, which may improve performance.bypassDocumentValidation: If set totrue, disables document validation during the insertion process. By default, MongoDB performs document validation based on the collection’s schema.
These options can be provided as additional parameters to the insertOne() or insertMany() methods. For example:
db.users.insertOne(
{ name: "John Doe", age: 30, email: "johndoe@example.com" },
{ writeConcern: { w: "majority", j: true }, ordered: true }
)
In this example, the writeConcern option is set to “majority” with journaling enabled, ensuring that the write operation is acknowledged by the majority of the replica set members. The ordered option is set to true, preserving the order of the documents during insertion.
These are just a few options available for inserting documents into MongoDB collections. Depending on your specific requirements, you can explore other options and methods provided by the MongoDB API or specific language drivers.
db.collection.insert(document)
Replace collection with the name of the collection where you want to insert the document(s), and document with either a single document object or an array of document objects.
Here’s an example of how to use the db.collection.insert() method to insert a single document into a collection named “users” in the MongoDB shell:
db.users.insert({ name: "John Doe", age: 30, email: "johndoe@example.com" })
This command inserts the specified document into the “users” collection.
To insert multiple documents into the collection using the db.collection.insert() method, you can pass an array of document objects. For example:
db.users.insert([
{ name: "Jane Smith", age: 25, email: "janesmith@example.com" },
{ name: "Bob Johnson", age: 35, email: "bobjohnson@example.com" },
{ name: "Alice Brown", age: 28, email: "alicebrown@example.com" }
])
This command inserts three documents into the “users” collection in a single operation.
The db.collection.insert() method returns a write result that contains information about the operation, including the number of documents inserted and any errors encountered.
It’s important to note that the db.collection.insert() method does not perform bulk operations with the same level of performance optimizations as the db.collection.insertMany() method. Therefore, if you have a large number of documents to insert, it’s generally more efficient to use insertMany() for better performance.
Additionally, starting from MongoDB version 4.4, the db.collection.insert() method has been deprecated, and it is recommended to use db.collection.insertOne() or db.collection.insertMany() instead.
const result = db.users.insertOne({ name: "John Doe", age: 30, email: "johndoe@example.com" });
if (result.acknowledged) {
print("Document inserted successfully!");
} else {
print("Failed to insert document.");
}
In this example, the acknowledged field of the result object is checked to determine if the insertion was acknowledged.
To view all documents within a collection in the MongoDB shell, you can use the find() method with an empty query object {}. Here’s the command to view all documents within a collection named “users”:
db.users.find({})
Executing this command will display all the documents present in the “users” collection. Each document will be displayed with its respective fields and values.
You can also use various query modifiers with the find() method to filter or sort the documents based on specific criteria. For example, you can use find({ age: { $gt: 30 } }) to retrieve documents where the “age” field is greater than 30.
Keep in mind that if the collection contains a large number of documents, it may not be practical to view all the documents at once. In such cases, you can use query modifiers like limit() and skip() to control the number of documents displayed or implement pagination techniques to retrieve documents in smaller batches.
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