Comparsion between Dyanmic and Static Mapping
Dynamic Mapping |
Static mapping |
|
---|---|---|
1 |
It is suitable for evolving schema. |
It Is less adaptable to dynamic schema. |
2 |
Less control over the indexing process by automatically indexing all the fields in the documents. |
It has Granular control over the indexing process by allowing to explicitly define which fields to be indexed. |
3 |
It automatically adapts to the changes in the documents structure. |
It requires manually indexing the relevant fields of the document. |
4 |
It requires more disk space, as it indexes all the fields regardless of whether there are relevant or not. |
It can be optimized for better performance by improving the size and structure of the search index for the relevant fields in the doscuments. |
How to Create a Search Index with Dynamic Field Mapping in MongoDB
Dynamic mapping in MongoDB Atlas Search is a powerful feature that automatically indexes all supported field types in a collection and making it ideal for applications with evolving data models. This type of mapping is particularly useful when the schema is unknown or changes regularly. Dynamic mappings assign fields automatically when new data is inserted, simplifying the setup for diverse data structures.
In this article, We will learn about, What is Dynamic Mapping, Need of Dynamic Field Mapping for Search Indexes, When to Use Dynamic Mapping and how to create Search Index for Dynamic Mapping Using Mongosh or MongoDB Driver detail.