Indexing in Database is a wide topic. Database indexing plays a important role in your query result performance. But like everything this too has a trade off. I know and assumed that you already worked with `Indexing` and you indexed your few field of your database table, But in this post I will explain a bit tho I'm not a good writer will try to finish within short. What is Indexing, How it works etc. click and let's go
Combined (Front-end and Back-end) application is no more nowadays. The way of doing front-end and backend in same application with same stack is old now. The problem with this model is that it tightly couples front-end and back-end development
In react-native when we use any external library where `play-services` are required like `react-native-maps` for google map there is an android project into this library where play-services v8.x.x included into gradle and in your project you are using play-services v9.x.x for another reason
Database logic should be encapsulated within the data model. Mongoose provides 2 ways of doing this, methods and statics. Methods adds an instance method to documents whereas Statics adds static class methods to the Models itself
Two-way binding is simply a way to sync data to a view and vice versa (mvvm pattern). One-way data binding refers to the design pattern found in component based frameworks, where a child component cannot modify data passed by a parent component, as that creates spaghetti code.
There is three general ways of integrating C++ code with a Node.js application - although there are lots of variations within each category like: Automation, Shared Library and Addon. Each of them has advantage and disadvantage as well
MongoDB’s geospatial indexing allows you to efficiently execute spatial queries on a collection that contains geospatial shapes and points. This tutorial will briefly introduce the concepts of geospatial indexes, and then demonstrate their use with $geoWithin, $geoIntersects, and geoNear.
Those days are gone when people didn't expect information for momentary access to data. Nowadays expectation everywhere is real-time action and result. Something is happened? not 1 day ago, not even 1 min ago but `just now`. Being notified constantly on any change of data points a bit critical from many application nowadays. So the upcoming `MongoDB3.6` introduces a new `$changeStream` aggregation pipeline operator.
In Microservice architecture there is a number of benefits. I’ll point some major benefits of microservice rather than monolithic approach, what I got from my experience.