Advanced Topics

Cover additional advanced topics for individuals who want to address more complex scenarios.

Full Text Search

Add in support for full text search using Atlas Search to gain ability to search text blocks for content.

Using the Customer model, add in support for fuzzy matching on customer name.

Create the following method in your CustomerRepository class

List<Customer> searchCustomersByName(String searchText);

Leveraging the @Aggregation method we will implement an Atlas Search query against the data. Directly above the new method add this

@Aggregation(pipeline= {"{'$search': {index:'customer_search', text:{ query:?0, fuzzy:{},path:['lastName','firstName','address.city','address.state','address.zip','phones.number','emails.email']}}}"})

Create Search Index

Shell

At the terminal run the following command

mongosh "mongodb://localhost:27017/?directConnection=true"

Once inside the mongosh run the following to create the index

use bank;

db.customers.createSearchIndex("customer_search", {mappings: {dynamic: true}})

This creates an Atlas Search index using the dynamic mappings, which indexes all of the fields in the document.

tip

You can also access a MongoDB shell environment from Compass. Select the button in the top right corner that says "Open MongoDB Shell"

Atlas

You can also create search indexes via the Atlas Web Console.

Navigate to the specific cluster you want to create the index in and look for the tab labeled Atlas Search. Follow the instructions to create a dynamic index with the name customer_search against all fields in the document

Update additional controller and service code as needed to use the new search component.

tip

Have the controller accept a single string input that would be similar to a Google Search type interface. You can then ask Atlas Search to compare that input string against an array of fields in your document, giving you a high level of search flexibility.