MongoDB supports a variety of data types, including text strings, integers, floating point types, Boolean values, dates, unique identifiers, as well as arrays, objects, binary data and custom data types. MongoDB adopts a document structure, supports nested data, and provides automatic type conversion functions.
Data types supported by MongoDB
MongoDB is a NoSQL database that supports multiple data types to meet different needs. Data storage needs.
Core Data Type:
- String: Text String
- Integer: 32-bit integer
- Long: 64-bit long integer
- Floating Point: Double precision floating point
- Double: 64-bit floating point type
- Boolean: Boolean value
- Date: Date and time
- ObjectId: A unique 12-byte identifier automatically generated by MongoDB
Other data types:
- Array: An ordered collection of elements
- Object: A collection of key-value pairs
- Binary Data (Binary): Storage Binary data
- Custom: MongoDB can be extended with custom data types
Document structure:
MongoDB uses The document structure is used to store data. The document is composed of fields, and each field can store a value of a specified type.
Nested data:
MongoDB supports nested data, allowing other documents or arrays to be embedded within a document. This provides flexible data modeling and relational modeling.
Automatic type conversion:
MongoDB can automatically convert data types to the appropriate type. For example, if you insert a string into a numeric field, MongoDB automatically converts it to a number.
Note:
- Date types in MongoDB are stored in ISO 8601 format.
- ObjectId is a data type unique to MongoDB and is used to uniquely identify documents.
- Custom data types need to be declared and verified using MongoDB's Schema Validation function.
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