Amplify Datastore support for @searchable

Hi,

1. Retrieve Data: Fetch all records from the DataStore using the query operation.

   2. Filter Data: Use JavaScript's filter method or similar techniques to filter the fetched records based on your search criteria.

   3)Display Results: Display the filtered results to the user.

Here's a simplified example in JavaScript:

import { DataStore } from 'aws-amplify'; import { YourModel } from './models'; // Import your model

async function searchRecords(searchTerm) { try { // Fetch all records const allRecords = await DataStore.query(YourModel);

// Filter records based on search term
const filteredRecords = allRecords.filter(record =>
  record.name.includes(searchTerm) // Assuming 'name' is the field you want to search
);

// Display filtered results
console.log(filteredRecords);

} catch (error) { console.error('Error searching records:', error); } }

// Example usage searchRecords('keyword');

In this example, YourModel represents your DataStore model. Replace 'name' with the field you want to perform the wildcard search on. This example performs a simple substring search. You can modify the filter condition based on your specific wildcard search requirements (e.g., using regular expressions for more complex searches).

Keep in mind that client-side filtering may not be efficient for large datasets, as it requires fetching all records to the client before filtering. If you have a large dataset or require more complex search capabilities, you may need to consider implementing a server-side search solution using AWS AppSync with Elasticsearch or AWS Lambda with DynamoDB, depending on your use case.