Adding search to an application can be a daunting task whether you try using Elasticsearch, Lucence, Solr, or AWS's CloudSearch: you have to store text in a specialized database, separate from their transactional data, duplicate data, and write integration (ETL) code to keep everything synchronized. There's also the overhead required to setup, administer, back up, and re-partition your search database as it grows.

Brian will discuss the challenges of adding full-text search to your app, the benefits of Lucene, and how to build an app with Cloudant Search. He will cover:

• Benefits of Lucene's full-text search
• Search Index creation and indexing options
• Querying indexes via the HTTP API
• Pagination
• Coupling Search results with MapReduce index results
• Building an app with full-text search

Brian Mitchell

Distributed Systems Engineer,
Cloudant

Brian is a Distributed Systems Engineer at Cloudant with a background in fields such as embedded cellular devices, realtime data visualization, and rich web applications. At Cloudant, he focuses on refining the core components of the database to provide a reliable service with rich features that just works.