Quick Start: Elasticsearch With Python

Quick Start: Elasticsearch With Python

Build and execute Elasticsearch queries in Python efficiently using ElasticsearchDSL. In this article, I’m going to discuss the remedy for those “long database operations” using Elasticsearch.

While developing any back-end API, you might have faced the issue of large database operation overhead. In this article, I’m going to discuss the remedy for those “long database operations” using Elasticsearch. Don’t worry if you are new to the Elasticsearch term. I will try to cover it from scratch.

What Is Elasticsearch?

At its heart, Elasticsearch (ES) is a NoSQL, distributed, full-text database. Because of NoSQL, it doesn't require any structured data and does not use any standard structured query language for searching. Basically, ES is an open source search engine that stores and indexes data and retrieves it at lightning speed!

Since it is built on top of the Lucene engine and HTTP interface, it is distributed and incredibly easy to scale. It is not just a database. It is a search engine and does provide search engine capabilities like an analytics engine and other related features. It allows you to store, search, and analyze big volumes of data quickly and almost inreal-time.

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