Introduction to ElasticSearch
In this talk, Radu Gheorghe, from Sematext, gives an Introduction to Elasticsearch. Radu starts out by talking on what Elasticsearch is and how it can act as your NoSQL data-store while providing quick, flexible and scalable search. For example, indexing logs or storing product information so that customers can search on them. Radu also delivers a demo which will display the most important functions of Elasticsearch. Some key talking points will be indexing and searching for documents, text analysis for tweaking the relevance of your searches and the facets that allow for pulling statistics out of documents as well as scaling out which offers for more capacity and fault tolerance. He will also touch base on performance tuning for indexing and monitoring as well as administering your cluster in production. This talk was recorded at the NYC Search, Discovery and Analytics meetup at Gilt.
ElasticSearch is marketed as a flexible and powerful open source, distributed real-time search and analytics engine for the cloud. ElasticSearch is an Open Source (Apache 2), Distributed Search Engine built on top of Apache Lucene. It allows you to start with one machine and scale to hundreds, and supports distributed search deployed over Amazon EC2's cloud hosting. ElasticSearch makes it easy to run a full-featured search server.
Elasticsearch can be used to search all kinds of documents. It provides a scalable search solution, has near real-time search and support for multitenancy."ElasticSearch is distributed, which means that indices can be divided into shards and each shard can have zero or more replicas. Each node hosts one or more shards, and acts as a coordinator to delegate operations to the correct shard(s).
History Of ElasticSearch
Shay Banon created Compass in 2004. While thinking about the third version of Compass he realized that it would be necessary to rewrite big parts of Compass to "create a scalable search solution". So he created "a solution built from the ground up to be distributed" and used a common interface, JSON over HTTP, suitable for programming languages other than Java as well.Shay Banon released the first version of Elasticsearch in February 2010.