A RESTFUL API with MONGODB a Project Presented

Total Page:16

File Type:pdf, Size:1020Kb

A RESTFUL API with MONGODB a Project Presented A RESTFUL API WITH MONGODB A Project Presented to the faculty of the Department of Computer Science California State University, Sacramento Submitted in partial satisfaction of the requirements for the degree of MASTER OF SCIENCE in Computer Science by Satia Ahmed SPRING 2018 © 2018 Satia Ahmed ALL RIGHTS RESERVED ii A RESTFUL API WITH MONGODB A Project by Satia Ahmed Approved by: __________________________________, Committee Chair Dr. Ying Jin __________________________________, Second Reader Dr. Jun Dai ____________________________ Date iii Student: Satia Ahmed I certify that this student has met the requirements for format contained in the University format manual, and that this project is suitable for shelving in the Library and credit is to be awarded for the project. __________________________, Graduate Coordinator ___________________ Dr. Jinsong Ouyang Date Department of Computer Science iv Abstract of A RESTFUL API WITH MONGODB by Satia Ahmed MongoDB is a document based NoSQL database system which stores data in the form of JSON documents. The de-normalized structure of MongoDB document makes query performance efficient and cost effective. In this project, a daycare application is implemented using MongoDB as the database. To emulate real life data, Big Data documents are generated programmatically using data generator tool from Redgate Software Ltd, called SQL Data Generator, Visual Studio SSIS tool, and python scripting. To connect with the database and perform CRUD (Create, Read, Update, Delete) operations on the data using RESTful API, multiple methods were surveyed in this project. These studies include dependencies and methods to wrap MongoDB with Java, C# and nodeJS. Further, this project implemented RESTful API using nodeJS, wrapping MongoDB as the backend database. The frontend was rendered with AngularJS which communicates with the backend and allows users to query and operate on the data stored in MongoDB. A MVC (Model View Controller) v model was used to implement the REST API, where Model is our MongoDB database and AngularJS is our View. _______________________, Committee Chair Dr. Ying Jin _______________________ Date vi TABLE OF CONTENT Page List of Tables ................................................................................................................................... x List of Figures ................................................................................................................................. xi Chapter 1. INTRODUCTION ....................................................................................................................... 1 2. CORE CONCEPT OF MONGODB ............................................................................................ 3 2.1 Database Data Model............................................................................................................. 3 2.2 Always-On High Availability Feature ................................................................................... 4 2.3 Horizontal scaling .................................................................................................................. 4 2.4 Security and storage............................................................................................................... 5 2.5 Download and installation process ........................................................................................ 5 3. CREATING A BIG DATA DATABASE ................................................................................... 8 3.1 Designing the Document Structure ........................................................................................ 8 3.2 Creating the Database .......................................................................................................... 18 3.3 Generating JSON Documents .............................................................................................. 19 3.4 Populating the database ....................................................................................................... 19 3.5 Exporting and Importing Collection .................................................................................... 20 3.6 Changing Schema ................................................................................................................ 22 vii 4. COMMANDS AND QUERIES IN MONGODB ...................................................................... 23 4.1 CRUD Operations................................................................................................................ 24 4.1.1 Create ........................................................................................................................... 24 4.1.2 Read.............................................................................................................................. 29 4.1.3 Update .......................................................................................................................... 36 4.1.4 Delete ........................................................................................................................... 39 4.2 Query Documents ................................................................................................................ 41 4.2.1 Query Embedded Documents ....................................................................................... 41 4.2.2 Query Operator ............................................................................................................. 42 4.2.3 Projection of Array Elements ....................................................................................... 46 4.3 Aggregate Operation............................................................................................................ 48 4.3.1 Pipeline ......................................................................................................................... 48 4.3.2 $lookup for Left Outer Join .......................................................................................... 49 4.4 Queries used in the REST API ............................................................................................ 51 5. IMPLEMENT REST API USING MONGODB ....................................................................... 55 5.1 Introduction to REST........................................................................................................... 55 5.2 RESTful API With MongoDB as Backend ......................................................................... 57 5.2.1 MongoDB drivers ......................................................................................................... 57 5.2.2 Connecting with .Net: C# framework .......................................................................... 59 5.2.3 Connecting with Java framework ................................................................................. 61 5.2.4 Connecting with Node.js: JavaScript framework ......................................................... 65 viii 5.3 MEAN stack ........................................................................................................................ 67 5.3.1 Functional Requirements for the REST API ................................................................ 67 5.3.2 Setting up a MEAN project .......................................................................................... 69 6. CONCLUSION .......................................................................................................................... 82 References ...................................................................................................................................... 83 ix LIST OF TABLES Tables Page 2.5 MongoDB Version Supported by Different OS....................................................................6 5.2.1 MongoDB Drivers ............................................................................................................ 57 x LIST OF FIGURES Figure Page 3.1.a Collection daycareInfo for daycare branch information ..................................................... 9 3.1.b Collection for Employee information ............................................................................... 10 3.1.c 1:N Relationships between Program documents and Student documents ........................ 11 3.1.d N:N Relationship between Program documents and Employee documents ..................... 12 3.1.e Document Structure in Collection programInfo containing information about programs ........................................................................................................................... 13 3.1.f Array of Documents in Collection programInfo containing information about all Students in that program...................................................................................................14 3.1.g Embedded related documents in Array of Documents Collection programInfo ............... 15 3.1.h Embedded Documents in Array of Document Structure in Collection programInfo ....... 16 3.1.h Related Embedded Documents in Collection programInformation .................................. 17 3.5.a Importing documents to populate collection ..................................................................... 20 3.5.b Export Operation to download documents from the collection.........................................21 4.1.1.a Create operation by single document insertion ................................................................. 25 4.1.1.b Create Operation by multiple documents insertion
Recommended publications
  • Niklas Appelmann
    Niklas Appelmann Full-Stack Web Developer [email protected] https://niklasappelmann.de +49 151 6469 0684 Nationality German Education Bachelor of Science Computer Science Certificates Company Data Protection Officer IHK / Betrieblicher Datenschutzbeauftragter IHK (June 2018) Languages English (fluent) German (native) Skills Project Management Agile, Scrum, Kanban Frameworks and Tools AWS, Docker, Selenium, Puppeteer, MongoDB Programming Languages / Frameworks React, Meteor, Node.js, JavaScript, Python, Clojure, ClojureScript, CoffeeScript, TypeScript Relevant 3.5 years Experience Project examples since 01/2020 Fullstack Development, Freelance Various engagements in web development. • Automation of lead generation and business processes using Python, Selenium and Puppeteer. • Frontend development using ClojureScript and Reagent • Backend development using Node.js, Clojure and MongoDB • DevOps and Backend development at the government hackathon #wirvsvirus (2020) • AWS consulting (S3, Lambda, EC2, ECS, Route53, SQS, SES, Lightsail, DynamoDB, CloudFront) • Serverless fullstack architecture using AWS Team members: Other freelancers and remote contributors Technologies / Python, Selenium, Puppeteer, ClojureScript, Clojure, reagent, MongoDB, Tools Node.js, Meteor 03/2018 - Fullstack-Developer, blink.it GmbH & Co. KG 12/2019 Development of a progressive Meteor web application in a fast paced startup environment. • Built frontend functionality with React (JavaScript, CoffeeScript), Blaze, HTML5, SCSS/CSS • Built backend functionality with Node.js, Python and MongoDB • Worked on performance optimiziation on a large scale multi-tenant reactive application • Developed tools for data migration and automation of internal processes with Python • Developed an internal solution to migrate Pipedrive leads to Hubspot for a large set of leads and past deal flows Team members: 10 Technologies / React, AWS, JavaScript, CoffeeScript, Python, MongoDB, Node.js, Blaze, Tools HTML5, SCSS/CSS, Selenium, SCORM 10/2016 - Software Engineer (working student), blink.it GmbH & Co.
    [Show full text]
  • E-Commerce Application Using MERN Stack
    Quang Nhat Mai E-commerce Application using MERN stack Metropolia University of Applied Sciences Bachelor of Engineering Information Technology Bachelor’s Thesis 30 August 2018 Abstract Author Quang Nhat Mai Title E-commerce Application using MERN stack Number of Pages 36 pages + x appendices Date 30 August 2020 Degree Bachelor of Engineering Degree Programme Information Technology Professional Major Software Engineering Instructors Janne Salonen This thesis is about studying the basic components of MERN Stack technology such as: MongoDB, ExpressJS framework, ReactJS library, and NodeJS platform. Discussing the basic functions of an e-commerce web application such as sign up, sign in, showing dash- boards, displaying store categories and products Using MERN Stack technology in conjunc- tion with Braintree to build a web application to search for product stores and payment gate- way. Develop administrative functions for the website such as: user management, store management, statistics, and reports. Since then, this topic is declared to research and create an online product search website so that small grocery stores and groceries can post and manage their products right on the website. website system and branding. At the same time, the store can link to its own website (if any). For customers, they can quickly search for urgent products from their nearby stores. Based on the search results, customers can directly contact the store owner to discuss more about the product they are looking for. Keywords Contents List of Abbreviations 1 Introduction
    [Show full text]
  • Fat-Free Framework 1.4.1 Quick Reference Akismet Auth Data
    Akismet Data An API wrapper that you can use during input validation to Input data handlers and validators. determine if a blog comment, trackback, or pingback contains spam. This plug-in requires a key from akismet.com. input( string fields, mixed handler, [ string tags ],[ integer filter ], [ array options ] ); check( string text, string author, string email, string url ); Assign handler to HTML form fields for validation and Submit content (usually a blog comment) to akismet.com. manipulation. handler may be an anonymous or named function, Returns TRUE if the content is determined as spam. a single or daisy-chained string of named functions similar to the route() method. This command passes two arguments to handler ham( string text, string author, string email, string url ); function: value and field name. HTML and PHP tags are stripped Report content as a false positive. If the argument tags is not specified. PHP validation/sanitize filters, filter flags, and options may be passed as additional spam( string text, string author, string email, string url ); Quick Reference Quick Reference arguments. See the PHP filter_var() function for more details on Report content that was not marked as spam. filter types. verify( string key ); scrub( mixed value, [ string tags ] ); Secure approval from akismet.com to use the public API for Remove all HTML tags to protect against XSS/SQL injection spam checking. A valid key is required to use the API. Returns attacks. tags , if specified, will be preserved. If value is an array, TRUE if authentication succeeds. 1.4.1 1.4.1 HTML tags in all string elements will be scrubbed.
    [Show full text]
  • JSON As an XML Alternative
    JSON The Fat-Free Alternative to XML { “Lecture”: 27, “Course”: “CSC375”, “Days”: ”TTh", “Instructor”: “Haidar Harmanani” } JSON as an XML Alternative • JSON is a light-weight alternative to XML for data- interchange • JSON = JavaScript Object Notation – It’s really language independent – most programming languages can easily read it and instantiate objects or some other data structure • Defined in RFC 4627 • Started gaining tracking ~2006 and now widely used • http://json.org/ has more information JSON as an XML Alternative • What is JSON? – JSON is language independent – JSON is "self-describing" and easy to understand – *JSON uses JavaScript syntax for describing data objects, but JSON is still language and platform independent. JSON parsers and JSON libraries exists for many different programming languages. • JSON -Evaluates to JavaScript Objects – The JSON text format is syntactically identical to the code for creating JavaScript objects. – Because of this similarity, instead of using a parser, a JavaScript program can use the built-in eval() function and execute JSON data to produce native JavaScript objects. Example {"firstName": "John", l This is a JSON object "lastName" : "Smith", "age" : 25, with five key-value pairs "address" : l Objects are wrapped by {"streetAdr” : "21 2nd Street", curly braces "city" : "New York", "state" : "NY", l There are no object IDs ”zip" : "10021"}, l Keys are strings "phoneNumber": l Values are numbers, [{"type" : "home", "number": "212 555-1234"}, strings, objects or {"type" : "fax", arrays "number” : "646 555-4567"}] l Aarrays are wrapped by } square brackets The BNF is simple When to use JSON? • SOAP is a protocol specification for exchanging structured information in the implementation of Web Services.
    [Show full text]
  • Certificate Course in “MEAN Stack Web Development”
    Certificate Course in “MEAN Stack Web Development” MEAN Stack Overview: MEAN is an acronym for MongoDB, ExpressJS, Angular and Node.js. MEAN Stack web development is a structured learning path recommended by leading industry experts and ensures your mastery of full MEAN stack development. MongoDB is a schemaless NoSQL database system. MongoDB saves data in binary JSON format which makes it easier to pass data between client and server. ExpressJS is a lightweight framework used to build web applications in Node. It provides a number of robust features for building single and multi page web application. ExpressJS is inspired by the popular Ruby framework, Sinatra. Angular is a TypeScript based open-source front-end web application platform led by the Angular Team at Google. It gives an extraordinarily expressive, readable and fast way to develop rich front ends for websites. Node.js is a server side JavaScript execution environment. It is a platform built on Google Chrome’s V8 JavaScript runtime. It helps in building highly scalable and concurrent applications rapidly. 1 Course Objective: The overall aim of the course is to enable participants to confidently build different types of application using the MEAN stack. The course is divided into four modules, MongoDB, ExpressJS, Angular, and Node.js. Each module focuses on a different goal. The four modules work together building a full application, with an overall outcome of showing how to architect and build complete MEAN applications. Course Details: Title Certificate Course in MEAN Stack Web Development No. of Credits 5 (Total No. of Clock Hours = 75) Duration 13 Weeks Actual Contact Hours 60 Classroom Training (with hands-on) Project Based Learning Hours 15 Fee Structure 15000.00 / Participant Open for all Students / Individuals/ Professionals with Eligibility basic knowledge of HTML5, CSS3 and JavaScript Intake 30 Participants Outcome: By the end of the course, participants will be able: To set up a web-server using Node.js and ExpressJS, to listen for request and return response.
    [Show full text]
  • Building Restful Web Apis with Node.Js, Express, Mongodb and Typescript Documentation Release 1.0.1
    Building RESTful Web APIs with Node.js, Express, MongoDB and TypeScript Documentation Release 1.0.1 Dale Nguyen May 08, 2021 Contents: 1 Introductions 3 1.1 Who is this book for?..........................................3 1.2 How to read this book?..........................................3 2 Setting Up Project 5 2.1 Before we get started...........................................5 2.2 MongoDB preparation..........................................5 2.3 Step 1: Initiate a Node project......................................5 2.4 Step 2: Install all the dependencies...................................7 2.5 Step 3: Configure the TypeScript configuration file (tsconfig.json)...................7 2.6 Step 4: edit the running scripts in package.json.............................7 2.7 Step 5: getting started with the base configuration...........................8 3 Implement Routing and CRUD9 3.1 Step 1: Create TS file for routing....................................9 3.2 Step 2: Building CRUD for the Web APIs................................ 10 4 Using Controller and Model 13 4.1 Create Model for your data........................................ 13 4.2 Create your first Controller........................................ 14 5 Connect Web APIs to MongoDB 17 5.1 1. Create your first contact........................................ 18 5.2 2. Get all contacts............................................ 19 5.3 3. Get contact by Id........................................... 19 5.4 4. Update an existing contact...................................... 20 5.5 5. Delete a contact............................................ 20 6 Security for our Web APIs 23 6.1 Method 1: The first and foremost is that you should always use HTTPS over HTTP.......... 23 6.2 Method 2: Using secret key for authentication............................. 24 6.3 Method 3: Secure your MongoDB.................................... 25 7 Indices and tables 29 i ii Building RESTful Web APIs with Node.js, Express, MongoDB and TypeScript Documentation, Release 1.0.1 This is a simple API that saves contact information of people.
    [Show full text]
  • Performance Benchmark Postgresql / Mongodb Performance Benchmark Postgresql / Mongodb
    PERFORMANCE BENCHMARK POSTGRESQL / MONGODB // CONTENTS // ABOUT THIS BENCHMARK 3 Introduction 3 OnGres Ethics Policy 4 Authors 4 // EXECUTIVE SUMMARY. BENCHMARKS KEY FINDINGS 5 Transactions benchmark 5 OLTP Benchmark 6 OLAP Benchmark 6 // METHODOLOGY AND BENCHMARKS 7 Introduction and objectives 7 Benchmarks performed 7 About the technologies involved 8 Automated infrastructure 9 // TRANSACTIONS BENCHMARK 12 Benchmark description 12 MongoDB transaction limitations 14 Discussion on transaction isolation levels 14 Benchmark results 17 // OLTP BENCHMARK 25 Benchmark description 25 Initial considerations 26 Benchmark results 29 // OLAP BENCHMARK 38 Benchmark description 38 Benchmark results 45 2/46 // ABOUT THIS BENCHMARK Introduction Benchmarking is hard. Benchmarking databases, harder. Benchmarking databases that follow different approaches (relational vs document) is even harder. There are many reasons why this is true, widely discussed in the industry. Notwithstanding all these difficulties, the market demands these kinds of benchmarks. Despite the different data models that MongoDB and PostgreSQL expose, many developers and organizations face a challenge when choosing between the platforms. And while they can be compared on many fronts, performance is undoubtedly one of the main differentiators — arguably the main one. How then do you leverage an informative benchmark so that decisions can be made about the choice of a given technology, while at the same time presenting a fair arena in which the technologies compete in an apples-to-apples scenario? To fulfill these goals, this benchmark has been executed based on the following criteria: • Transparency and reproducibility. The framework that has been programmed and used to run the benchmarks is fully automated and is published as open source.
    [Show full text]
  • Migrating Off of Mongodb to Postgresql
    Migrating off of MongoDB to PostgreSQL Álvaro Hernández Tortosa <[email protected]> PgConf.Ru 2017 PGconf Russia 2017 Who I am CEO, 8Kdata.com • What we do @8Kdata: ALVARO HERNANDEZ ✓Creators of ToroDB.com, NoSQL & SQL database ✓Database R&D, product development ✓Training and consulting in PostgreSQL ✓PostgreSQL Support Twitter: @ahachete Linkedin: Founder, President Spanish Postgres User Group http://es.linkedin.com/in/alvarohernandeztortosa/ postgrespana.es ~ 750 members PGconf Russia 2017 Agenda 1.MongoDB limitations 2.Pain points when migrating from NoSQL to SQL ✓ Stripe's MoSQL ✓ EDB Mongo FDW ✓ Quasar FDW ✓ Mongo BI Connector, yet another PG FDW ;) ✓ ETL tool ✓ ToroDB Stampede 3. Benchmarks PGconf Russia 2017 MongoDB limitations PGconf Russia 2017 No ACID is bitter • Atomic transactions only work within the same document CART ORDERS [ [ ... ... { { user: 567, user: 567, products: [ orders: [ { ... { id: 47, orderId: units: 7, 24658, }, ̣This operation is not atomic!! products: [ { … id: 318, ] units: 2, } }, … … ] ] } } ... ... ] ] PGconf Russia 2017 MongoDB does *not* have consistent reads https://blog.meteor.com/mongodb-queries-dont-always-return-all-matching-documents-654b6594a827#.fplxodagr PGconf Russia 2017 BI query performance issues ̣ MongoDB aggregate query pattern PGconf Russia 2017 BI query performance issues ̣ PostgreSQL aggregate query pattern PGconf Russia 2017 BI query performance issues What if we use a columnar store? PGconf Russia 2017 Taking it to the extreme • We have developed a very difficult video game •We store
    [Show full text]
  • Performance Comparison of Mongodb and Postgresql with JSON Types
    TALLINN UNIVERSITY OF TECHNOLOGY Faculty of Information Technology Department of Informatics Chair of Information Systems Performance Comparison of MongoDB and PostgreSQL with JSON types Master's Thesis Student: Dmitri Maksimov Student’s code: 121839IAPM Supervisor: Erki Eessaar Associate Professor Tallinn 2015 Autorideklaratsioon Kinnitan, et olen koostanud antud lõputöö iseseisvalt ning seda ei ole kellegi teise poolt varem kaitsmisele esitatud. Kõik töö koostamisel kasutatud teiste autorite tööd, olulised seisukohad, kirjandusallikatest ja mujalt pärinevad andmed on töös viidatud. ……………………………………. ……………………………… (kuupäev) (allkiri) ii Annotation Performance Comparison of MongoDB and PostgreSQL with JSON types Traditional SQL database management systems (DBMSs) and NoSQL systems are different. SQL DBMSs on the one hand feature a data model that requires explicit definition of database schema. In addition, they allow its users to ensure consistency of data as well as support transactions that span multiple statements and have strict properties (ACID). On the other hand, this focus on strict consistency makes them hard to scale horizontally and the system do not perform well under the high load of large data volumes or/and concurrent access. Whereas NoSQL systems offer great capabilities of horizontal scaling, flexible data models that do not require explicit schema definition at the database level, and good performance under the high load of large data volumes or/and concurrent access. On the other hand, NoSQL systems generally place less strict requirements to transactions (BASE), making the systems built on top of these systems prone to the data inconsistencies. Many of them treat each single operations as an atomic transactional unit but do not allow developers to group multiple statements (operations) to one atomic unit (transaction).
    [Show full text]
  • Developing a Social Platform Based on MERN Stack
    Hau Tran Developing a social platform based on MERN stack Metropolia University of Applied Sciences Bachelor of Engineering Information Technology Bachelor’s Thesis 1 March 2021 Abstract Author: Hau Tran Title: Developing a social platform based on MERN stack Number of Pages: 41 pages + 2 appendices Date: 1 March 2021 Degree: Bachelor of Engineering Degree Programme: Information Technology Professional Major: Software Engineering Instructors: Janne Salonen (Head of Degree Program) In the past, web development was mostly based on the LAMP stack (Linux, Apache, MySQL, PHP or Perl) and Java-based applications (Java EE, Spring). However, those stacks comprise of various programming languages which can be a burden for a single developer to comprehend. With the advances in web technologies during the last few years, a developer can participate in both front-end and back-end processes of a web application. The main goal of this bachelor’s thesis was to study the basic components of the highly popular MERN stack and build a social platform application based on it. The MERN stack, short for MongoDB, Express.js, React.js and Node.js eases the developers with the idea of unifying web development under a single programming language: JavaScript. After months of doing research, the application was successfully built and fully functional. The application has sufficient features and can either be used as a platform to connect people or a service to manage employees for a real company. Keywords: MongoDB, Express, Node, React, JavaScript. Contents List of Abbreviations 1 Introduction 1 2 Introduction to JavaScript 2 2.1 History of JavaScript 2 2.2 What is JavaScript used for? 3 2.3 Modern JavaScript 3 2.3.1 Creating variables using let 4 2.3.2 Creating variables using const 4 2.3.3 Arrow function 5 3 Explore the MERN stack 5 3.1 Node.js 6 3.1.1 Background of Node.js 6 3.1.2 Non-Blocking programming in Node.js.
    [Show full text]
  • Mongodb Schema Validation Node Js
    Mongodb Schema Validation Node Js If uncharacteristic or swinish Jean-Francois usually dons his spiritism vote socially or scatter kingly and finest, how large-hearted is Nick? When Karim misquoting his jerid unify not unwillingly enough, is Reid undescribed? Is Hansel fungous or onside after mealy Angus guzzles so pettily? Players with constant power will love his long, Examples and other information. Previously available for all orders; fails our way for production database. Heroku on our blog. Validation is an important part modify the mongoose schema. In all four is derived from anywhere in mongodb schema validation node js is successfully saved to be improved in this js engine defaulting the mongoose a different types allow you. Do increased performance, this method that collects http responses returned response and mongodb schema validation node js api endpoints using postman, waiting for assertions, many thanks for this is. URL of memory database. Now you hit the profile and mongodb schema validation node js. Component validation works well as is node js, mongodb object is the db query with navigation, mongodb schema validation node js on it easier to. Ensure that happens on mongodb mongoose pro drivers and mongodb schema validation node js. Only check wether the. We can imprint it hinder our schema as a helper to accessory and set values. This mount the holding directory. This adds it with data should use of it already do in mongodb schema validation node js library. To node js and mongodb mongoose also, the next sections, you can also, parents when using them easily switched that registers, mongodb schema validation node js middleware in the.
    [Show full text]
  • Node.Js with Mongodb
    NODE.JS WITH MONGODB + 1) Log into github and create a new repository Copy the github repo url you just created: 2) Navigate to the directory that will contain your new project directory and open a new git bash window there. 3) Type npm init in order to create a new node project. It will prompt you for a bunch of answers so that it can go off and generate a package.json application description file for you that specifies your application dependencies. Here are appropriate answers for this project. Type your name instead of mine obviously and your git repo url rather than mine. 4) express is a very simple node web server that will enable us to respond to our simple requests appropriate. Install it by running the following command which tells node package manager (npm) to download and install express-generator “globally” (that’s the –g). npm install –g express-generator 5) Lets use the express generator we just installed to create a skeleton project with a single command express --view=ejs api-voting 6) That created a subdirectory that contains our skeleton project. Let’s navigate into the new directory. cd api-voting 7) Open the directory we just created in your favorite development text editor (probably with a file/open folder menu click). 8) Now let’s install some other node packages (components that add features to our application). The package.json file is an inventory of all dependencies/components that your application needs to run. The-–-save parameter in a flag/parameter that tells npm to not only install the package for your application but also add the dependency to your package.json file as a dependency to remember.
    [Show full text]