<\/p>\n
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\n <\/p>\n
Elasticsearch is a search engine that is based on Lucene. It offers a distributed, multitenant \u2013 capable full-text
\nsearch engine with as HTTP (HyperText Transfer Protocol) web interface and Schema-free JSON
\n(JavaScript Object Notation) documents.
\nIt is developed in Java and is an open-source released under Apache License.<\/p>\n
<\/p>\n
Since Elasticsearch is built using Java, we require any of the following software to run Elasticsearch on our device.
\nThe latest version of Java 8 series
\nJava version 1.8.0_131 is recommended.<\/p>\n
<\/p>\n
Run Following command on your terminal to start Elasticsearch server:
\nCD elasticsearch
\n.\/bin\/elasticsearch
\ncurl \u2018http:\/\/localhost:9200\/?pretty\u2019 command is used to check the ElasticSearch server is running or not.<\/p>\n
<\/p>\n
It is a set or a collection of one or more than one nodes or servers that hold your complete data and\u00a0offers federated indexing and search capabilities across all the nodes. It is identified by a different and
\nunique name that is \u201cElasticsearch\u201d by default.
\nThis name is considered to be important because a node can be a part of a cluster only if it is set up to join
\nthe cluster by its name.<\/p>\n
<\/p>\n
Some of the companies that use Elasticsearch along with Logstash and Kibana are:
\nWikipedia
\nNetflix
\nAccenture
\nStack Overflow
\nFujitsu<\/p>\n
<\/p>\n
An index in Elasticsearch is similar to a table in relational databases. The only difference lies
\nin storing the actual values in the relational database, whereas that is optional in Elasticsearch.
\nAn index is capable of storing actual or analyzed values in an index<\/p>\n
<\/p>\n
Each and every instance of Elasticsearch is a node. And, a collection of multiple nodes that can work in harmony
\nform an Elasticsearch cluster.<\/p>\n
<\/p>\n
Mapping is a process that defines how a document is mapped to the search engine, searchable characteristics
\nare included such as which fields are tokenized as well as searchable.
\nIn Elasticsearch an index created may contain documents of all \u201cmapping types\u201d.<\/p>\n
<\/p>\n
A type in Elasticsearch is a logical category of the index whose semantics are completely up to the user.<\/p>\n
<\/p>\n
A document in Elasticsearch is similar to a row in relational databases. The only difference is that every\u00a0document in an index can have a different structure or field but having the same data type\u00a0for common fields is mandatory. Each field with different data types can occur multiple times in a document.
\nThe fields can also contain other documents.<\/p>\n