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ElasticSearch Query builder in nodejs

ElasticSearch Query builder in nodejs

Bodybuilder is a popular JavaScript library for building Elasticsearch query bodies. It provides a fluent, convenient, and expressive API for constructing Elasticsearch queries. With Bodybuilder, you can create complex Elasticsearch queries by chaining together a series of query methods, without having to write the raw JSON query body yourself. For

Best practices for managing Elasticsearch cluster

Elasticsearch Featured

Best practices for managing Elasticsearch cluster

It heavily depends on your use case, is it indexing or search heavy. We will discuss here what are the best practices we need to care on cluster setup. Here are some Tips that can help you with your Elasticsearch cluster setup 1. Avoid split brain: In a cluster of

Best Practices for Elasticsearch mapping creation

Best Practices for Elasticsearch mapping creation

Mapping is the core element of index creation. Mapping acts as the skeleton structure that represents the data and the definition of each field showing how the data will be indexed or searched. Elasticsearch don't follow strict structure for documents. There are two different options for mapping in Elasticsearch. Dynamic

Working With Elasticsearch and nodeJs

Elasticsearch Featured

Working With Elasticsearch and nodeJs

Elasticsearch is a powerful distributed search engine that has, over the years, grown into a more general-purpose NoSQL storage and analytics tool. I have decided to come up with this Elasticsearch NodeJS tutorial for beginners. This tutorial will save a lot of your time wasted in searching for stuff and

Inverted Index

An inverted index is an index data structure storing a mapping from content, such as words or numbers, to its locations in a document or a set of documents. In simple words, it is a hashmap like data structure that directs you from a word to a document or a

Difference between keyword and text data type in ElasticSearch

Difference between keyword and text data type in ElasticSearch

The primary difference between the text datatype and the keyword datatype is that text fields are analyzed at the time of indexing, and keyword fields are not. What that means is, text fields are broken down into their individual terms at indexing to allow for partial matching, while keyword fields