JS Deep Copy: How To Truly Clone Objects For Independent Data
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Why Object Copying Matters in JavaScript
Have you ever changed something in one part of your JavaScript code, only to find that it unexpectedly altered data somewhere else? That, is that, can be a really frustrating moment for any developer, especially when you're just starting out with JavaScript. It feels like your data has a mind of its own, doesn't it? Well, often, this puzzling behavior comes down to how JavaScript handles copies of objects, which can be a bit different from what you might expect.
You see, when working with objects, it's very common to need to make copies of them. Perhaps you want to keep the original data safe while you make changes to a new version, or maybe you're passing an object to a function and want to ensure that function doesn't mess with your source information. Without a proper way to copy, you might accidentally share references instead of creating truly separate data, and that can lead to some rather surprising outcomes, anyway.
This issue is quite significant, particularly when you're dealing with complex data structures like objects nested inside other objects. If you're a JS novice, as some might say, figuring out why a function doesn't work like you want it to because of this can be quite a puzzle. So, understanding how to make a proper deep copy in JavaScript is a valuable skill that can save you a lot of headaches and help you avoid those non-expected bugs that pop up from time to time.
Table of Contents
- Why Object Copying Matters in JavaScript
- Shallow Copy vs. Deep Copy: What's the Real Difference?
- Why You Really Need Deep Copy
- The Modern Way:
structuredClone()
for JS Deep Copy - Older Approaches to JS Deep Copy
- Common Pitfalls and Things to Watch Out For
- Frequently Asked Questions About JS Deep Copy
- Making Your Objects Truly Independent
Shallow Copy vs. Deep Copy: What's the Real Difference?
When you're copying objects in JavaScript, there are, you know, basically two main kinds of copying. One is called a shallow copy, and the other is a deep copy. It's a bit like making a copy of a document; sometimes you just copy the cover page, and other times you copy every single page inside, including any linked documents. The distinction between these two is pretty important, especially when you're asked about it in an interview, for instance.
Understanding Shallow Copy
A shallow copy, in a way, creates a new object, but this new object has copies of the original object's property values. Now, if a property holds a simple piece of information, like a number or a string, then the copy gets its own separate value. However, if a property holds something more complex, like another object or an array, then the copy only gets a pointer, or a memory address, to that original complex piece of information. So, if you change that complex piece of information in your copy, you're actually changing it in the original too, which is often not what you want, you know?
Let's say you have an object representing a person, and inside that, there's another object for their address. If you make a shallow copy of the person, the new person object will point to the *same* address object as the original. So, if you update the street name in the copied person's address, the original person's address will also change. This is why sometimes a function below doesn’t work like you want it to, because it doesn't wait, it just changes the original data directly. This behavior is, as a matter of fact, a common source of confusion and bugs.
const originalPerson = { name: "Alice", address: { street: "123 Main St", city: "Anytown" } }; const copiedPerson = { ...originalPerson }; copiedPerson.address.street = "456 Oak Ave"; console.log(originalPerson.address.street); // Outputs: "456 Oak Ave" - Uh oh!
As you can see, the original object's address property got changed, even though we were working with the copy. This happens because the `address` object itself wasn't duplicated; only its reference was copied. This is, you know, a classic shallow copy situation.
The Concept of Deep Copy
A deep copy, on the other hand, is a bit more thorough. When you perform a deep copy, you're not just copying the top-level properties; you're also copying all the nested objects and arrays, creating entirely new ones for each. This means that the new object is completely separate from the original. Any changes you make to the copied object, no matter how deeply nested, will not affect the original object. It's like taking a full photocopy of every page, and then editing that new set of pages, leaving the original completely untouched, basically.
This is especially important when you're dealing with complex data structures that have multiple levels of objects or arrays inside them. A deep copy ensures that all the elements of nested objects are cloned, producing a new object completely independent of the original object. This independence is what you're usually looking for when you say you want to "clone" an object or an array in JavaScript, actually.
Why You Really Need Deep Copy
The primary reason you often need a deep copy comes down to avoiding those unexpected side effects we talked about. In JavaScript, when you copy object data types, you're really copying their memory addresses, not their actual values. So, if you mess with the new, copied variable, it's pretty easy to mess with the original variable too, and vice versa. This can, you know, quite easily cause bugs that are hard to track down because the changes seem to come from nowhere.
Imagine you have a settings object for a user interface. If you give a shallow copy of this object to a function that modifies some settings, and then that function changes a nested theme color, your original settings object will also have that new theme color. This might not be what you intended, especially if other parts of your application are relying on the original settings staying the same. A deep copy solves this by giving you a truly isolated version of the data to work with, which is, honestly, a huge relief for data integrity.
The Modern Way: structuredClone()
for JS Deep Copy
For the longest time, if you wanted to make a deep copy of a JavaScript value, you pretty much had to use workarounds or bring in external libraries. But, as a matter of fact, there's been a great update! As of a 2022 update, there's a new JavaScript standard called structuredClone()
. This is a native way of creating deep copies of an object, and it's a really welcome addition to the language, you know?
The platform now ships with structuredClone()
, which means it's built right into your browser's JavaScript environment. This makes creating a deep copy with structuredClone()
the modern way to deep copy an array in JavaScript, or any other structured data for that matter. It's designed to handle various data types, including nested objects, arrays, Maps, Sets, and even some built-in types like Date and RegExp, which is pretty handy, all things considered.
Using structuredClone()
in Action
Using structuredClone()
is really quite straightforward, actually. You just pass the object you want to copy into the function, and it gives you back a brand new, completely separate deep copy. This method is often the simplest and most reliable choice for most deep copying needs in modern JavaScript development, so it's a good one to remember.
const originalProduct = { id: 1, name: "Laptop", details: { weight: "1.5kg", color: "Silver", features: ["fast processor", "long battery life"] }, available: true }; const clonedProduct = structuredClone(originalProduct); clonedProduct.details.color = "Space Gray"; clonedProduct.details.features.push("touch screen"); clonedProduct.available = false; console.log(originalProduct.details.color); // Outputs: "Silver" (Original is untouched) console.log(originalProduct.details.features); // Outputs: ["fast processor", "long battery life"] (Original is untouched) console.log(originalProduct.available); // Outputs: true (Original is untouched) console.log(clonedProduct.details.color); // Outputs: "Space Gray" console.log(clonedProduct.details.features); // Outputs: ["fast processor", "long battery life", "touch screen"] console.log(clonedProduct.available); // Outputs: false
As you can see from this example, any changes made to clonedProduct
did not affect originalProduct
at all. This is the true independence that a deep copy provides. It's a very clean and effective way to handle object duplication, which is, like, really helpful for maintaining data integrity in your applications, you know?
Browser Support for structuredClone()
It's important to know that structuredClone()
works in many browsers now. You can always check its current support across different environments on a site like Can I use... structuredClone. This resource is great for seeing which versions of browsers support this new feature, and it's pretty much a must-check for any new JavaScript functionality you plan to use in production, honestly.
While support is broad and getting better, if you're targeting older browser versions or specific environments where this isn't available, you might still need to consider some of the older methods for deep copying, which we'll talk about next. But for most modern development, structuredClone()
is your go-to option, and it's, you know, a fantastic improvement for the language.
Older Approaches to JS Deep Copy
Before structuredClone()
came along, developers had to get a bit creative to achieve a true deep copy. There are several ways to shallow clone objects in JavaScript, but deep cloning objects is trickier. We highlight several methods to do so here, because, you know, sometimes you still run into older codebases or have specific needs that might require them. For the longest time, you had to resort to workarounds and libraries to create a deep copy of a JavaScript value, so these methods are still part of the historical context of JavaScript development, anyway.
The JSON.parse(JSON.stringify())
Trick
One very common workaround for deep copying was to use JSON.parse(JSON.stringify(object))
. This method works by first converting your JavaScript object into a JSON string, and then parsing that string back into a new JavaScript object. Since JSON strings only contain data (no functions, undefined values, or special object types like Date objects), this process effectively creates a new object with completely separate values for all properties, including nested ones. It's, like, a neat trick that's often seen in older code, you know?
const originalSettings = { theme: "dark", user: { id: 101, preferences: { notifications: true, language: "en" } }, greet: function() { console.log("Hello!"); } }; const deepCopiedSettings = JSON.parse(JSON.stringify(originalSettings)); deepCopiedSettings.user.preferences.notifications = false; deepCopiedSettings.theme = "light"; console.log(originalSettings.user.preferences.notifications); // Outputs: true console.log(originalSettings.theme); // Outputs: "dark" console.log(typeof deepCopiedSettings.greet); // Outputs: "undefined" - Function was lost!
While this method is simple and works for many basic cases, it does have some pretty significant limitations. It cannot handle functions, undefined
values, BigInt
, Symbol
, Map
, Set
, Date
objects (they become strings), RegExp
objects, or circular references (where an object refers back to itself, causing an infinite loop). If your object contains any of these, this method will either lose data or throw an error. So, it's not a universal solution, you know, just a quick one for simple data.
Using Libraries Like Lodash
Before native solutions, many developers turned to utility libraries for more robust deep copying. Libraries like Lodash provided a reliable function called _.cloneDeep()
. This function is designed to handle a much wider range of data types and complex scenarios, including functions, dates, and even circular references, which is pretty comprehensive. You'd typically need to install Lodash separately, as some might say, but it made implementation much easier, and unlike other methods, it could deep copy even deep hierarchies, which was a huge plus for many projects.
If you're already using Lodash in your project, or if you need to support environments where structuredClone()
isn't available and JSON.parse(JSON.stringify())
is too limited, _.cloneDeep()
is still a very solid option. It provides a consistent and powerful way to make deep copies, and it's been a go-to for many years for a good

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