Elasticsearch - Basics of Elasticsearch

Elasticsearch - Basics of Elasticsearch

June 30, 2019 , by Jinna

Elasticsearch is the distributed search and analytics engine at the heart of the Elastic Stack. Logstash and Beats facilitate collecting, aggregating, and enriching your data and storing it in Elasticsearch.

Features include:

  • Distributed and Highly Available Search Engine.
  • Each index is fully sharded with a configurable number of shards.
  • Each shard can have one or more replicas.
  • Read / Search operations performed on either one of the replica shard.
  • Multi Tenant with Multi Types.
  • Support for more than one index.
  • Support for more than one type per index before 2.4.1
  • Index level configuration (number of shards, index storage, …).
  • Various set of APIs
  • HTTP RESTful API
  • Native Java API.
  • All APIs perform automatic node operation rerouting.
  • Document oriented
  • No need for upfront schema definition.
  • Schema can be defined per type for customization of the indexing process.
  • Reliable, Asynchronous Write Behind for long term persistency.
  • (Near) Real Time Search.
  • Built on top of Lucene
  • Each shard is a fully functional Lucene index
  • All the power of Lucene easily exposed through simple configuration / plugins.
  • Per operation consistency
  • Single document level operations are atomic, consistent, isolated and durable.
  • Open Source under the Apache License, version 2 (“ALv2”)

Requirements

You need to have a recent version of Java installed. See the “Setup”:http://www.elastic.co/guide/en/elasticsearch/reference/current/setup.html#jvm-version page for more information.

# storage