Replication not only helps in increasing the availability of data in case of failure, but also improves the performance of searching by carrying out a parallel search operation in these replicas. ReplicasĮlasticsearch allows a user to create replicas of their indexes and shards. Primary shard is the original horizontal part of an index and then these primary shards are replicated into replica shards. The horizontal separation makes shard an independent node, which can be store in any node. This means each shard contains all the properties of document but contains less number of JSON objects than index. Indexes are horizontally subdivided into shards. ![]() Every document is associated with a unique identifier called the UID. Every document belongs to a type and resides inside an index. It is a collection of fields in a specific manner defined in JSON format. For example, a set of document contains data of a social networking application. Index also uses the concept of shards to improve the performance. It is a collection of different type of documents and their properties. Cluster provides collective indexing and search capabilities across all the nodes for entire data. Single physical and virtual server accommodates multiple nodes depending upon the capabilities of their physical resources like RAM, storage and processing power. It refers to a single running instance of Elasticsearch. The key concepts of Elasticsearch are as follows − Node The general features of Elasticsearch are as follows −Įlasticsearch is scalable up to petabytes of structured and unstructured data.Įlasticsearch can be used as a replacement of document stores like MongoDB and RavenDB.Įlasticsearch uses denormalization to improve the search performance.Įlasticsearch is one of the popular enterprise search engines, and is currently being used by many big organizations like Wikipedia, The Guardian, StackOverflow, GitHub etc.Įlasticsearch is an open source and available under the Apache license version 2.0. It enables users to explore very large amount of data at very high speed. ![]() It is built on Java programming language and hence Elasticsearch can run on different platforms. It is accessible from RESTful web service interface and uses schema less JSON (JavaScript Object Notation) documents to store data. Its latest version is 7.0.0.Įlasticsearch is a real-time distributed and open source full-text search and analytics engine. ![]() It is now maintained by Elasticsearch BV. It was developed by Shay Banon and published in 2010. Elasticsearch - Managing Index LifecycleĮlasticsearch is an Apache Lucene-based search server.
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