Integrating Amazon CloudSearch into your application gives you a world-class full-text search solution that can leverage your relational database’s strengths and deliver an optimal user experience. This article shows you how to integrate a MySQL-based application with Amazon CloudSearch, and steps through how to analyze your data set, upload your data, submit search requests, and syncrhonize updates.
By using DynamoDB and Amazon CloudSearch together, you get both the throughput and durability of DynamoDB and the rich and powerful search capabilities of Amazon CloudSearch: simple text matches, complex Boolean queries, faceting, and integer range searching. This guide describes what you need to do to use Amazon CloudSearch to search your DynamoDB data.
Search Data Format (SDF) is the structured data format that you use to represent the data that you want to index and search with Amazon CloudSearch. This guide describes how to structure your data to support searching, describe it in SDF, and validate the SDF before uploading it to your search domain.
A search domain's index fields control how document data in Search Data Format (SDF) is handled during indexing and how you will be able to search and use the data once your index is built. This document will help you understand how the index field configuration impacts index size and the cost of your Amazon CloudSearch domain. It describes how to decide what index field types to use, how the document data is mapped to the index fields, and how you can configure fields to support faceting and return data in the search results.
This guide describes how to use elastic IPs to manage access to your document and search endpoints from EC2.