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D is for dannyby Danny

When working with JavaScript or TypeScript, the Array.prototype.map() method is immensely useful for transforming array elements. However, what if you want to perform a similar transformation on an object’s properties or values? By default, JavaScript does not provide a map() function for objects. This limitation can lead to confusion and inefficient code when developers try to achieve this functionality manually. Let’s delve into solving this problem with practical strategies.

Problem

#

The Array.prototype.map() method is designed specifically for arrays, allowing you to iterate over each array element and produce a new array by applying a callback function. However, when working with objects, there’s no native map equivalent.

For example, if you have an object like this:


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const person = {
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name: "Alex",
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age: 30,
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active: true,
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};

You might want to create a new object where all values are transformed while keeping their original keys:


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const transformed = {
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name: "ALEX",
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age: 31,
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active: false,
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};

Because objects in JavaScript are not iterable like arrays, applying mapping transformations efficiently becomes non-trivial. This issue commonly arises when dealing with APIs, configuration objects, or dynamic data structures. Without proper strategies, developers often write overly verbose or repetitive code.

Solution

#

Here are two common approaches to implement a "map" behaviour for objects.

Using Object.entries, Object.fromEntries, and Functional Programming

This approach leverages Object.entries() to transform the object into an array of key-value pairs, applies a transformation with map(), and then reconstructs the object using Object.fromEntries().

  • Object.entries(obj) converts the object into an array of [key, value] pairs.
  • You apply Array.map() to transform the pairs as needed.
  • Object.fromEntries() converts the modified pairs back into a new object.

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const mapObject = (obj, callback) => {
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return Object.fromEntries(
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Object.entries(obj).map(([key, value]) => {
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// Apply the callback to transform the value
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return [key, callback(value, key)];
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})
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);
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};
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// Example usage
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const person = {
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name: "Alex",
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age: 30,
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active: true,
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};
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const transformed = mapObject(person, (value, key) => {
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if (typeof value === "string") return value.toUpperCase(); // Transform strings
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if (typeof value === "number") return value + 1; // Increment numbers
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if (typeof value === "boolean") return !value; // Toggle booleans
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return value;
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});
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console.log(transformed);
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// Output: { name: "ALEX", age: 31, active: false }

  • This method ensures immutability by creating a new object rather than modifying the original.
  • The transformation applies only to own properties, not inherited ones.
  • Adding extra logic for deeply nested objects will require additional recursion.

Functional Approach with reduce()

The reduce() method can be used directly to iterate over the object’s keys, apply transformations, and build a new object in place.

  • Use Object.keys() or Object.entries() to iterate over the properties.
  • Use the accumulator pattern provided by reduce() to construct the transformed object.

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const mapObject = (obj, callback) => {
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return Object.keys(obj).reduce((acc, key) => {
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acc[key] = callback(obj[key], key); // Apply transformation
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return acc; // Build the new object
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}, {});
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};
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// Example usage
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const person = {
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name: "Alex",
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age: 30,
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active: true,
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};
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const transformed = mapObject(person, (value, key) => {
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return typeof value === "number" ? value * 2 : value; // Example transformation
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});
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console.log(transformed);
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// Output: { name: "Alex", age: 60, active: true }

  • This method is slightly more manual but offers flexibility in constructing the transformed object.
  • Like the previous solution, it does not support nested transformation out of the box.

Further Considerations

  1. Performance and Complexity:

    • Both approaches handle objects with a small or moderate number of properties efficiently. For large objects, consider testing performance, as entries and transformations can add overhead.
  2. Immutability:

    • Always be cautious when mutating the original object. Both methods above ensure a new object is created, preserving the original data structure.
  3. Nested Objects:

    • If you need to "map" deeply nested objects, you will need to implement recursion or use libraries such as Lodash. Lodash provides utility methods like _.mapValues that can handle complex use cases.
  4. TypeScript Integration:

    • If you’re using TypeScript, add proper types for objects and callbacks to ensure type safety in your transformations.

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