{"id":2849,"date":"2016-02-29T10:25:40","date_gmt":"2016-02-29T10:25:40","guid":{"rendered":"https:\/\/www.cmarix.com\/blog\/?p=2849"},"modified":"2026-04-14T09:44:33","modified_gmt":"2026-04-14T09:44:33","slug":"elasticsearch","status":"publish","type":"post","link":"https:\/\/www.cmarix.com\/blog\/elasticsearch\/","title":{"rendered":"ElasticSearch – Your Ultimate Guide"},"content":{"rendered":"

ElasticSearch<\/a> powered by Lucene, a powerful open-source search and analytics engine designed for scalability, reliability, and easy management which supports a good amount of enterprise search use cases. It is an enterprise search server developed in Java and is released as open-source under the terms of the Apache License. It combines the speed of search with the power of analytics through a refined query language covering structured, unstructured, and time-series data.<\/p>\n

ElasticSearch is able to get fast search responses because it searches an index instead of searching the text directly. For an instance while searching for any query in a Stackoverflow, it automatically suggests you similar questions, where you can index the title of each query or create a group of text fields in a index so that when you are searching for specific words or part of that query, the server will search for all text and then sort and return the relevant data.<\/p>\n

Fundamental Terminology<\/h2>\n

Cluster:<\/h3>\n

It is a collection of many nodes that incorporates complete data and provides organized indexing and search capabilities across different nodes. It is identified by a different name.<\/p>\n

Node:<\/h3>\n

Node is a single server that contains data and participates in the cluster’s indexing and search capabilities. A node is also identified by a name just like cluster which by default is a random Marvel character name. The different name is helpful in administration purposes as it helps to identify which node serves in your Elastic search cluster.<\/p>\n

Index:<\/h3>\n

An index is a bundle of documents having similar properties, like customer or order data. It is also identified by a name which is used to refer the index while performing operations like indexing, search, update, and delete against the documents.<\/p>\n

Type:<\/h3>\n

A type is a logical category\/partition of an index. It is defined for the documents having a set of common fields.<\/p>\n

Document:<\/h3>\n

A document is a basic unit of data that can be indexed. It is like a row of a table in a relational database, which consist the information either for a customer, product or orders and is described in JSON format.<\/p>\n

Shards and Replicas:<\/h3>\n

An index has the ability to save a lump sum amount of data that can exceed the hardware limits of single node. A shard allows the content to scale horizontally which divide indexes into multiple pieces and a replica allows users to make copies of index shards. Replica is important as it provides high availability when a shard\/node fails. By default, each index in Elastic Search is having 5 primary shards and 1 replica.<\/p>\n

Features of Elastic Search<\/h2>\n

Elastic Search has some notable features that can be helpful to an application:<\/p>\n

Full-Text Search<\/h3>\n

Elastic search implements many features such as splitting text into word, context-sensitive suggestions with the multi-language and Geo-location support type special search feature.<\/p>\n

Index<\/h3>\n

You can save complex and real-time entities as structured JSON documents. All fields have a default index and to get an accurate result, you can use all indexed data in a single query.<\/p>\n

Mapping<\/h3>\n

It is the process of how the document should be mapped in the search engine. Elastic search generates mapping automatically depending on the data sent in the form of a string, integer and so on. By defining a new mapping, the default mapping can be overridden.<\/p>\n

High Availability<\/h3>\n

Elastic search clusters are flexible since they automatically detect and remove node defeat. You can setup multiple index data and query each of them independently or in a combination.<\/p>\n

Powerful search experiences<\/h3>\n

The thing that increases the conversion rates is by utilizing a variety of words or even finding results by synonyms. You can improve the reliability of search result with this feature.<\/p>\n

Analytics Engine<\/h3>\n

Elasticsearch is the engine that gives you both the power and the speed, with the ability to perform super-fast data extractions from effectively all organized or unorganized data references for real-time analytics.<\/p>\n

Use of faceting<\/h3>\n

A faceted search is more durable than a normal text search, which allows users to apply a number of filters for the information so that they can get the information which they need to examine.<\/p>\n

ElasticSearch is used by many companies such as GitHub, StackOverflow, LinkedIn and WordPress<\/a>. Elasticsearch is preferred solution for finding a result which is effective for productive searching over large amount of data. It is time to empower your enterprise product using power of elasticsearch.<\/p>\n","protected":false},"excerpt":{"rendered":"

ElasticSearch powered by Lucene, a powerful open-source search and analytics engine designed […]<\/p>\n","protected":false},"author":3,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[16],"tags":[],"class_list":["post-2849","post","type-post","status-publish","format-standard","hentry","category-enterprise-software-development"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/posts\/2849","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/comments?post=2849"}],"version-history":[{"count":6,"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/posts\/2849\/revisions"}],"predecessor-version":[{"id":33184,"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/posts\/2849\/revisions\/33184"}],"wp:attachment":[{"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/media?parent=2849"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/categories?post=2849"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.cmarix.com\/blog\/wp-json\/wp\/v2\/tags?post=2849"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}