![]() ![]() INSERT: Create or insert a new document into a collection. The following are three examples that demonstrate this in practice: It’s easy to use and works in a way that’s similar to SQL with CRUD operations for creating, reading, updating, and deleting documents. MongoDB uses MongoDB Query Language (MQL) to retrieve data from the database. ![]() After the search string is tokenized, the operator performs the logical OR operation on the tokens. The $text operator tokenizes each search string with white space and treats all punctuation except for “–” and “\” as delimiters. A collection can only have one text index, and a single text index can be applied to multiple fields.Ī search can also be performed on a collection with a text index using the $text operator. To perform a text search query, the collection must contain a text index. A text search can be performed using a text index or the $text operator.Ī text index can either be a string or an array of string elements. How Does MongoDB Text Search Work?Ī key feature of MongoDB is the text search, which can query string fields for specific text or words. Documents can define a primary key as a unique identifier, and values can be a variety of data types, including other documents, arrays, and arrays of documents. The structure of a document can be changed by simply adding new fields or deleting existing ones. Documents consist of key-value pairs, which are the basic unit of data in MongoDB. Collections comprise sets of documents, which are equivalent to tables in a relational database. MongoDB stores data objects in collections and documents instead of the tables and rows used in traditional relational databases. MongoDB uses a document storage format called BSON, which is a binary form of JSON (JavaScript Object Notation) that can accommodate more data types. It also stores and handles larger amounts of data than traditional relational databases. MongoDB is highly flexible and enables you to combine and store multiple types of data. It uses a non-relational, document-oriented data model and a non-structured query language. As a non-relational database, it can process structured, semi-structured, and unstructured data. MongoDB is an open source NoSQL database.
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