Elasticsearch for Ruby on Rails

Elasticsearch provides a robust, relaxing HTTP interface for assortment and querying knowledge, designed on high of the Apache Lucene library. Right out of the box, it provides climbable, efficient, and sturdy search, with UTF-8 support. It’s a robust tool for assortment and querying large amounts of structured knowledge and, here at Toptal, it powers our platform search and can before long be used for autocompletion furthermore. We’re large fans.

Chewy extends the Elasticsearch-Ruby shopper, creating it a lot of powerful and providing tighter integration with Rails.

Since our platform is constructed victimization ROR developers in India, our integration of Elasticsearch takes advantage of the elasticsearch-ruby project (a Ruby integration framework for Elasticsearch that gives a shopper for connecting to associate Elasticsearch cluster, a Ruby API for the Elasticsearch’s REST API, and varied extensions and utilities). Building on this foundation, we’ve developed and free our own improvement (and simplification) of the Elasticsearch application search design, prepacked as a Ruby gem that we’ve named Chewy (with associate example app accessible here).

Chewy extends the Elasticsearch-Ruby shopper, creating it a lot of powerful and providing tighter integration with Rails. during this Elasticsearch guide, I discuss (through usage examples) however we have a tendency to accomplished this, together with the technical obstacles that emerged throughout implementation.