KE
  • dotNet Web 3.0
  • Engineering Management
    • Process Planning (SDLC)
      • Software development process
      • Basics of SDLC models
      • Scrum
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      • Scrum vs Kanban: applicability
      • Scrumban
    • Estimation
      • Scope Concept
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      • Overestimate vs Underestimate
      • Decomposition and Recomposition
      • Analogy-based estimations
      • Estimating in Agile
  • Requirements
    • Software Requirements Engineering
      • Requirement definition
      • Levels of Requirements
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      • Benefits from a High-Quality Requirements Process
      • Root Causes of Project Success and Failure
  • Design
    • OOD
      • Abstraction
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      • Inheritance vs Aggregation
      • Modularity
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      • Abstraction Qualities (cohesion, coupling, etc)
      • Types vs. Classes
      • Separation of concerns principle
      • SOLID
      • Design Patterns
        • Structural patterns
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        • Behavioral patterns
      • Most often used design patterns
      • Software Architecture Patterns (structure, pros & cons)
      • Inversion of Control Containers and the Dependency Injection pattern
      • Domain-Driven Design patterns
      • Anti-patterns
    • DB Design
      • Relational Terminology: Entities
      • Relational terminology: Attributes
      • Relational terminology: Records (Tuples)
      • Relationships (One-to-One, One-to-Many)
      • Understanding ER notation
      • Understanding normalization concept
      • Data Integrity
    • Modeling
      • UML: Basic Diagram Types
      • UML: Use Case Diagram (Essentials)
      • UML: Class Diagram (Essentials)
      • Entity Relationship Diagrams
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    • Security
      • Information security concepts
      • Access Control Lists (ACLs)
      • Access Control Models
      • .NET Cryptography Model
      • ASP.NET Identity
      • OWASP Top 10
      • Cross-Site Request Forgery (XSRF)
      • Protecting against cross-site scripting attacks (XSS)
      • Protecting against buffer overrun attacks
      • Protecting against SQL-injection attacks
      • CSRF/XSRF protection
    • Algorithms
      • Algorithms complexity (understanding, big O notation, complexity of common algorithms)
      • Array sorting methods (bubble sort, quick sort, merge sort)
      • Tree structure (construction, traversal)
      • Binary search algorithm
      • Hash table (creating, collisions)
      • Stack, queue, linked list (construction, understanding, usage)
  • Construction Core
    • Programming language
      • Declare namespaces, classes, interfaces, static and instance class members
      • Types casting
      • Value and reference types. Class vs Struct usage.
      • Properties and automatic properties
      • Structured Exception Handling, Exception filters
      • Collections and Generics
      • Dictionaries. Comparison of Dictionaries
      • Building enumerable types
      • Building cloneable objects
      • Building comparable types
      • Nullable types
      • Delegates, events and lambdas
      • Indexers and operator overloading
      • Anonymous types
      • Extension methods. Practices.
      • Custom Type Conversions (implicit/explicit keywords)
      • Strings and StringBuilder. String concatenation practices. String Interpolation
      • Serialization
      • System.IO namespace
      • LINQ to Objects
      • General Coding conventions for C#
      • Static Using Statement
      • Type Reflection
      • Custom attributes
      • Dispose and Finalizable patterns
      • Garbage collection
      • .Net Diagnostics
      • Implementing logging
      • Exception handling guidelines
      • Regular Expressions
      • Span<T> struct
      • C# - What's new?
      • .NET Standard overview
    • Concurrency
      • Understand differences between Concurrency vs Multi-threading vs Asynchronous
      • Concurrency: An Overview
      • Async basics
      • Task Parallelism
      • Basic Synchronization in C#
      • Deadlock problem
      • QueueBackgroundWorkItem or IHostedService for .NET Core
      • How to run Background Tasks in ASP.NET
    • Refactoring
      • Refactoring Concept (what/when/why)
      • Smells Catalog and possible re-factorings
      • Moving Features Between Objects (basic)
      • Organizing Data (basic)
      • Composing Methods (basic)
      • Simplifying Conditional Expressions (basic)
      • Making Method Calls Simpler
      • Dealing with Generalization
    • Product deploying, software installation
      • Create, configure, and publish a web package (.NET Web Profile)
      • Publishing Web Services
      • Manage packages by using NuGet, NPM and Bower
    • Networking
      • Understanding networks: layers and protocols
      • Basic understanding of TCP/IP model and protocols
      • Defining internet, intranet and VPN
      • Basics of Firewalls and DMZ
      • Application layer protocols basics (HTTP, FTP, Telnet)
      • Understanding HTTP and WWW
      • Basic troubleshooting tools (ICMP, ping, traceroute)
      • Client/Server model
      • Sockets, IP and port addressing
      • Using proxy server
      • File transfer services: FTP, TFTP
      • Name resolution services: DNS, whois
      • Remote access services: Telnet, SSH, rdesktop, VNC
      • The basic difference between HTTP and HTTPS protocols
  • Construction Web
    • Web server applications
      • ASP.NET Core
        • Application startup
        • Middleware
        • Working with Static Files
        • Routing
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        • Globalization and localization
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        • Controllers (Route to actions, File uploads)
      • Security and Identity (concepts understanding)
        • Authentication
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      • Bundle and Minify assets
      • Develop ASP.NET Core MVC apps
      • Advanced topics for ASP.NET Core MVC
        • Application model
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        • Areas
        • Application Parts
        • Custom Model Building
        • IActionConstraint
      • Host and deploy ASP.NET Core
      • Migrate from ASP.NET to ASP.NET Core
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      • Open Web Interface for .NET (OWIN)
      • Web server implementations in ASP.NET Core
    • Web Services
      • REST
      • ASP.NET Web API
        • Routing
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        • Basic error handling
      • Web API-based services
      • Web API Security
      • Token based security
      • SingalR
      • Serialization Frameworks
      • Implement caching
      • gRPC on ASP.NET Core
      • API versioning
      • API documentation
    • Microservices and Cloud
      • Microservices architecture
      • Dockerize a .NET Core application
      • Development workflow for Docker apps
    • JavaScript, HTML, CSS
      • JavaScript: Variables
      • JavaScript: Data types and types conversion
      • JavaScript: Operators
      • JavaScript: Control and Loop constructions
      • JavaScript: Functions, Execution Context and Variables scopes
      • JavaScript: Arrays
      • JavaScript: JS in WebBrowser and basic DOM manipulations
      • HTML: Basic elements
      • CSS: Simple Style rules
      • CSS: selectors
      • Box model
      • HTML: Standards and Browser compatibility
      • HTML: Page Layouts with divs
      • HTML: Frames
      • CSS: Elements positioning and layering
      • CSS: Tables properties
      • CSS: Flexbox
      • Different storage
      • JavaScript: Event Understanding (propagation, capturing, attach/detach)
      • JavaScript: Closure
      • AJAX/JSON
      • Ecma script 6: OOP
      • Promise
      • Strict mode of javascript
    • JavaScript Frameworks
      • Selecting elements
      • Operating on collection
      • Manipulating with elements, working with properties, attributes and data
      • Events
      • animation and effects
      • utilities and Ajax
      • SPA (SINGLE PAGE APPLICATIONS)
      • EcmaScript 6
      • UI frameworks basics:
      • NPM basics:
      • React basics
  • Construction DB
    • SQL
      • Tables, relationships, keys, constraints understanding
      • DDL, DML, DCL understanding
      • SQL data types
      • SQL operators, functions
      • Data manipulation (insert, update, delete)
      • Retrieving data (simple select statement)
      • Joins understanding
      • Creating, modifying, removing database objects
      • Aggregations (ORDER BY, GROUP BY, HAVING, SUM, COUNT, AVG, etc)
      • Combining the results of multiple queries (UNION, EXCEPT, INTERSECT, MINUS, subqueries)
      • Sessions, transactions, locks
      • Isolation levels understanding
      • Implementing stored procedures, user-defined functions, triggers
      • Cursors
    • Data Access Layer
      • Manage connection strings and objects
      • Working with data providers
      • Connect to a data source by using a generic data access interface
      • Handle and diagnose database connection exceptions
      • Manage exceptions when selecting, modifying data
      • Build command objects and query data from data sources
      • Retrieve data source by using the DataReader
      • Manage data by using the DataAdapter and TableAdapter
      • Updating data
      • Entity Framework
        • Query data sources by using EF
        • Code First to existing DB
        • Entity Data Modeling Fundamentals
        • Querying Data
        • Data modification
  • Verification
    • Code Quality
      • MSDN: Guidelines for Names
      • SDO Best Practices Catalog - Coding Standards
      • SDO Best Practices Catalog - Code Review Process
      • SDO Best Practices Catalog - Automatic Code Inspection
      • Automated coding standards enforcement (StyleCop, Resharper)
      • Code Reviews and Toolset
      • Use Work Items (TODO, BUG etc.)
      • Preemptive Error Detection
      • Desirable characteristics of a design (minimal complexity, ease of maintenance, minimal connectednes
      • Creating high quality classes
      • Creating high quality methods
      • Guidelines for initializing variables
      • Exceptions and error handling techniques
      • Best practices of working with data types
      • Code commenting practices
    • Automated Testing (principles, patterns, and practices)
      • Software testing basic concepts
      • Software testing concept
      • Test Case
      • Test Suite
      • Test Plan
      • Testing Levels
      • Naming standards for unit tests
      • Types of test doubles (Stub, Mock, Spy, Fake, Dummy)
      • Basic coverage criteria
      • Testing concepts (Unit vs Functional vs Integration)
      • Goals of Unit Testing, What Makes a Test Valuable?
      • Styles of Unit Testing (Output / State / Collaboration)
      • Good unit test properties
      • F.I.R.S.T Principles of unit testing
      • Test Pyramid concept
      • Testing Pyramid, Agile Testing Pyramid, Diamond
      • Breaking the dependency, Interaction testing
      • Strategies for isolating the database in tests
      • Test smells and how to avoid
      • Test Organization patterns
      • Fixture setup patterns
      • Test double patterns
      • Feature-driven development (FDD)
      • Behavior-driven development (BDD)
      • Test-driven development (TDD)
      • Acceptance testing, Acceptance Test Driven Development (ATDD)
      • Continuous testing
    • Automated Testing (Frameworks, Tools, Libraries)
      • .NET unit test frameworks overview
      • .NET Mocking Frameworks, a comparison
      • xUnit
        • Primary test framework attributes
        • Asserts
        • Exception Handling in Unit Tests
        • Skipping Tests
        • Initialization and Cleanup (Assembly, Class, Test)
        • Data-driven Tests
      • NSubstitute
        • Mocking Method Calls (Using Mock Object, Return Values, Argument Matching)
        • Behavior Verification (Method Was/Not Called, a Specific Number of Times, Getter/Setter Was Called)
        • Throwing exceptions
        • Raising Events from Mock Objects
        • Returning Different Results for Sequential Calls
      • AutoFixture
      • EF Core InMemory test
      • Integration tests in ASP.NET Core
      • Isolating database data in integration tests
      • Test ASP.NET Core MVC apps
  • Configuration Management
    • Product builds and Continuous Integration
      • Automated build concept
      • Dotnet cli
      • CI/CD Basic concepts
    • Managing Versions
      • Fundamental concepts: revisions, working copy, repository, branch, baseline, trunk
      • Versioning Models
      • Distributed Version Control basics
      • Distributed systems advantages and weak sides
      • VCS Management life-cycle on (one of) major tools (clone, commit, update, revert, merge, resolve, et
      • Branching/Merging strategies
      • Blaming (annotate)
      • Revision graph/log actions (Git)
      • Integrating with Issue Tracking Systems
      • Source control Best Practices
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On this page
  • Methods pop/push, shift/unshift
  • unshift
  • Internals
  • Performance
  • new Array()
  • toString
  • Summary
  1. Construction Web
  2. JavaScript, HTML, CSS

JavaScript: Arrays

There exists a special data structure named Array, to store ordered collections.

There are two syntaxes for creating an empty array:

let arr = new Array();
let arr = [];

Almost all the time, the second syntax is used. We can supply initial elements in the brackets:

let fruits = ["Apple", "Orange", "Plum"];

Array elements are numbered, starting with zero.

We can get an element by its number in square brackets:

let fruits = ["Apple", "Orange", "Plum"];

alert( fruits[0] ); // Apple
alert( fruits[1] ); // Orange
alert( fruits[2] ); // Plum

We can replace an element:

fruits[2] = 'Pear'; // now ["Apple", "Orange", "Pear"]

…Or add a new one to the array:

fruits[3] = 'Lemon'; // now ["Apple", "Orange", "Pear", "Lemon"]

The total count of the elements in the array is its length:

let fruits = ["Apple", "Orange", "Plum"];

alert( fruits.length ); // 3

We can also use alert to show the whole array.

let fruits = ["Apple", "Orange", "Plum"];

alert( fruits ); // Apple,Orange,Plum

An array can store elements of any type.

Trailing comma

An array, just like an object, may end with a comma:

let fruits = [
  "Apple",
  "Orange",
  "Plum",
];

The “trailing comma” style makes it easier to insert/remove items, because all lines become alike.

Methods pop/push, shift/unshift

  • push appends an element to the end.

  • shift get an element from the beginning, advancing the queue, so that the 2nd element becomes the 1st.

It supports two operations:

  • push adds an element to the end.

  • pop takes an element from the end.

So new elements are added or taken always from the “end”.

A stack is usually illustrated as a pack of cards: new cards are added to the top or taken from the top:

Methods that work with the end of the array:

pop

Extracts the last element of the array and returns it:

let fruits = ["Apple", "Orange", "Pear"];

alert( fruits.pop() ); // remove "Pear" and alert it

alert( fruits ); // Apple, Orange

push

Append the element to the end of the array:

let fruits = ["Apple", "Orange"];

fruits.push("Pear");

alert( fruits ); // Apple, Orange, Pear

Methods that work with the beginning of the array:

shift

Extracts the first element of the array and returns it:

let fruits = ["Apple", "Orange", "Pear"];

alert( fruits.shift() ); // remove Apple and alert it

alert( fruits ); // Orange, Pear

unshift

Add the element to the beginning of the array:

let fruits = ["Orange", "Pear"];

fruits.unshift('Apple');

alert( fruits ); // Apple, Orange, Pear

Methods push and unshift can add multiple elements at once:

let fruits = ["Apple"];

fruits.push("Orange", "Peach");
fruits.unshift("Pineapple", "Lemon");

// ["Pineapple", "Lemon", "Apple", "Orange", "Peach"]
alert( fruits );

Remember, there are only 7 basic types in JavaScript. Array is an object and thus behaves like an object.

For instance, it is copied by reference:

let fruits = ["Banana"]

let arr = fruits; // copy by reference (two variables reference the same array)

alert( arr === fruits ); // true

arr.push("Pear"); // modify the array by reference

alert( fruits ); // Banana, Pear - 2 items now

…But what makes arrays really special is their internal representation. The engine tries to store its elements in the contiguous memory area, one after another, and there are other optimizations as well, to make arrays work really fast.

But they all break if we quit working with an array as with an “ordered collection” and start working with it as if it were a regular object.

For instance, technically we can do this:

let fruits = []; // make an array

fruits[99999] = 5; // assign a property with the index far greater than its length

fruits.age = 25; // create a property with an arbitrary name

The ways to misuse an array:

  • Add a non-numeric property like arr.test = 5.

  • Make holes, like: add arr[0] and then arr[1000] (and nothing between them).

  • Fill the array in the reverse order, like arr[1000], arr[999] and so on.

Please think of arrays as special structures to work with the ordered data. They provide special methods for that. Arrays are carefully tuned inside JavaScript engines to work with contiguous ordered data, please use them this way. And if you need arbitrary keys, chances are high that you actually require a regular object {}.

Why is it faster to work with the end of an array than with its beginning? Let’s see what happens during the execution:

fruits.shift(); // take 1 element from the start

It’s not enough to take and remove the element with the number 0. Other elements need to be renumbered as well.

The shift operation must do 3 things:

  1. Remove the element with the index 0.

  2. Move all elements to the left, renumber them from the index 1 to 0, from 2 to 1 and so on.

  3. Update the length property.

The more elements in the array, the more time to move them, more in-memory operations.

The similar thing happens with unshift: to add an element to the beginning of the array, we need first to move existing elements to the right, increasing their indexes.

And what’s with push/pop? They do not need to move anything. To extract an element from the end, the popmethod cleans the index and shortens length.

The actions for the pop operation:

fruits.pop(); // take 1 element from the end

The pop method does not need to move anything, because other elements keep their indexes. That’s why it’s blazingly fast.

The similar thing with the push method.

Technically, because arrays are objects, it is also possible to use for..in:

let arr = ["Apple", "Orange", "Pear"];

for (let key in arr) {
  alert( arr[key] ); // Apple, Orange, Pear
}

But that’s actually a bad idea. There are potential problems with it:

  1. The loop for..in iterates over all properties, not only the numeric ones.

    There are so-called “array-like” objects in the browser and in other environments, that look like arrays. That is, they have length and indexes properties, but they may also have other non-numeric properties and methods, which we usually don’t need. The for..in loop will list them though. So if we need to work with array-like objects, then these “extra” properties can become a problem.

  2. The for..in loop is optimized for generic objects, not arrays, and thus is 10-100 times slower. Of course, it’s still very fast. The speedup may only matter in bottlenecks. But still we should be aware of the difference.

Generally, we shouldn’t use for..in for arrays.

There is one more syntax to create an array:

let arr = new Array("Apple", "Pear", "etc");

It’s rarely used, because square brackets [] are shorter. Also there’s a tricky feature with it.

If new Array is called with a single argument which is a number, then it creates an array without items, but with the given length.

Let’s see how one can shoot themself in the foot:

let arr = new Array(2); // will it create an array of [2] ?

alert( arr[0] ); // undefined! no elements.

alert( arr.length ); // length 2

In the code above, new Array(number) has all elements undefined.

To evade such surprises, we usually use square brackets, unless we really know what we’re doing.

Arrays have their own implementation of toString method that returns a comma-separated list of elements.

For instance:

let arr = [1, 2, 3];

alert( arr ); // 1,2,3
alert( String(arr) === '1,2,3' ); // true

Also, let’s try this:

alert( [] + 1 ); // "1"
alert( [1] + 1 ); // "11"
alert( [1,2] + 1 ); // "1,21"

Arrays do not have Symbol.toPrimitive, neither a viable valueOf, they implement only toStringconversion, so here [] becomes an empty string, [1] becomes "1" and [1,2] becomes "1,2".

Array is a special kind of object, suited to storing and managing ordered data items.

  • The declaration:

    // square brackets (usual)
    let arr = [item1, item2...];
    
    // new Array (exceptionally rare)
    let arr = new Array(item1, item2...);

    The call to new Array(number) creates an array with the given length, but without elements.

  • The length property is the array length or, to be precise, its last numeric index plus one. It is auto-adjusted by array methods.

  • If we shorten length manually, the array is truncated.

We can use an array as a deque with the following operations:

  • push(...items) adds items to the end.

  • pop() removes the element from the end and returns it.

  • shift() removes the element from the beginning and returns it.

  • unshift(...items) adds items to the beginning.

To loop over the elements of the array:

  • for (let i=0; i<arr.length; i++) – works fastest, old-browser-compatible.

  • for (let item of arr) – the modern syntax for items only,

  • for (let i in arr) – never use.

PreviousJavaScript: Functions, Execution Context and Variables scopesNextJavaScript: JS in WebBrowser and basic DOM manipulations

Last updated 5 years ago

A is one of the most common uses of an array. In computer science, this means an ordered collection of elements which supports two operations:

There’s another use case for arrays – the data structure named .

Methods push/pop run fast, while shift/unshift are slow.

queue
stack
Internals
Performance
new Array()
toString
Summary