![]() ![]() To be able to manage petabytes of data, horizontal scalability is required. With Java heap size limitations, vertically scaling a node is only possible to a certain extent. Elasticsearch takes care of distributing the workload and data and manages the Elasticsearch nodes to maintain cluster health. Distributed Frameworkĭata can be stored and processed across a collection of nodes within a cluster framework. Below is a high level summary of some of those key functionalities. Elasticsearch uses Lucene at the core for search but has built many additional capabilities on top of Lucene to make it a full-featured search and analytics engine. Lucene is a search library but not a scalable search engine. Lucene has a rich search interface with support for natural language searches, wildcard searches, fuzzy, and proximity searches. Lucene does support storing several types of information such as numbers, strings, and text fields. ![]() During search, it is quicker to look up a term in the sorted term dictionary and retrieve the list of matching documents. The inverted search index provides a mapping of terms to documents that contain those terms. Lucene has been around for more than 20 years and is a very mature library maintained by an open source project under the governance of The Apache Foundation.Īt the heart of Lucene is the inverted search index, which makes it possible to achieve incredibly fast search results. Lucene is an open source, high-performance search library built with Java, and acts as the basis of some of the popular search engines such as Apache Solr, Apache Nutch, OpenSearch, and Elasticsearch. The architecture and functionality discussed in this blog is common for both Elasticsearch and OpenSearch. We will review some of the building blocks that make Elasticsearch and OpenSearch some of the leading analytics and search engines. OpenSearch is also built with Apache Lucene and has many of the core features of Elasticsearch. OpenSearch is Apache 2.0 licensed and community driven. ![]() OpenSearch is an open source search and analytics suite derived from Elasticsearch 7.10.2 and Kibana 7.10.2. Some common use cases for Elasticsearch include log analysis, full-text search, application performance monitoring, SIEM, etc. It extends the search functionality of Lucene by providing a distributed, horizontally scalable, and highly available search and analytics platform. Elasticsearch is a search and analytics engine built with the Apache Lucene search library. ![]()
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