Implementación y optimización de un servidor Elasticsearch para la búsqueda de información y su posterior consumo mediante una aplicación frontend usando un framework JavaScript.

Abstract

This paper details the installation, implementation and optimization of a Elasticsearch server (cluster) in a test environment, where each step to be followed is indicated, from the infrastructure used, the network topology used, as well as the optimization of the server for a data set, which shows how to do a proper modeling and subsequent mapping. In addition, the management and configuration tool called Ansible is generally used for cluster administration. In addition, the consumption of the Elasticsearch server is performed with a frontend web application, developed with JavaScript as the base programming language on the server side, built through the Node.js execution environment. With the aforementioned application, elasticsearch.js library is used, which allows to perform from the connection to the server, as well as the different operations, whether they are mapping, indexing, reading, deleting or editing. And finally, performance tests are performed, which allow a brief analysis and observing the behavior of the cluster when indexing and performing read operations.