Introduction In this multi-part tutorial we’ll show you how to setup a basic MERN application on your locally. The MERN stack is composed MongoDB, Express, React, and NodeJS. MongoDB is the database technology, Express is a Javascript framework that assists in easily creating routes, React is the front-end framework, and NodeJS allows you to run … Continued
Introduction If you’re working with MongoDB through NodeJS and Javascript and you need to know how to drop a collection, we’ll show how to do it in this article. Be aware that this will delete all documents from the collection so be sure you really want to do the collection before proceeding with the steps. … Continued
Add a front-end to the app We made a great deal of progress in Part 1. We’ve proven we can interact with Elasticsearch through the browser, but so far our app is not at all user friendly. In this section we’ll add a basic user interface to allow us to interact with Elasticsearch with greater … Continued
Introduction The purpose of this demo is to highlight how to integrate Elasticsearch into a simple web application. Elasticsearch can add advanced search functionality to a web application and can make drastically improve user experience. The demo application we will allow us to search for existing articles based on the title so we don’t accidentally … Continued
Introduction Somtimes you’d like to do an aggregation but not of your entire dataset. Most often you’ll want to limit the data by some condition or another. It’s useful to know how to get Elasticsearch to perform aggregations like averages, sums, maximums, and minimums but of a filtered set. We’ll show you exactly how to … Continued
Introduction Elasticsearch aggregations allow you to compute averages, sums, maximums, and minimums. You can get all these individually but the stats aggregation lets you get all of these aggregations in one call. There is also an extended stats aggregation which gives you a few more of the advanced ones like standard deviations. If you’re looking … Continued
Introduction Elasticsearch aggregations allow you to compute averages, sums, maximums, minimums, standard deviations and more. You can get all these individually but the extended stats aggregation lets you get a set of the most common aggregations you could want in one call. If you’re looking to get a baseline feel for some of your data … Continued
Introduction An aggregation computation that comes up frequently when trying to figure out the distribution of your data is the percentile aggregation. Percentile aggregagtions are simple in Elasticsearch and this step-by-step example will show you an example of one that you can use as a basis for your own aggregation. In this step-by-step example we … Continued
Introduction If you’re running a NodeJS application with Elasticsearch it won’t be long before you’ll need to compute the sum of field in your dataset. Computing the sum of a field is a common practice when using Elasticsearch. You may need to sum up the sales made in a year or calculate the quantity of … Continued
Introduction Most Elasticsearch users have come across the situation where they need to delete a number of indices at once. You might have created several indices to test out features, but you don’t them anymore and would like to clean up your data. You might have changed your overall data structure and find that you’re … Continued
