Creating a relational infrastructure using javascript: A step-by-step guide

Within my database, there are 2 tables:

1- Element:

  • ElementID
  • ElementName

2- Methods:

  • MethodID
  • ElementID
  • MethodData

There exists a one-to-many relationship between Elements and Methods,

I am retrieving the data from these tables using asp.net,

My goal is to transmit this data to my javascript, where various functions will be performed on it.

For example, looping through all elements, accessing each element's methods, and manipulating the method data.

Initially, I attempted to structure this using classes in JavaScript but ended up with excessive code,

Firstly defining 2 classes, for elements and methods, followed by 2 arrays - one for elements and the other for methods

Within the methods array, I included the following:

this.findByElementId = function(elementId) {
    var result = [];
    for (var i = 0; i < this.methods.length; i++) {
        if (elementId === this.methods[i].methodElement) {
            result.push(this.methods[i]);
        }
    }
    return result;
}

Unfortunately, this implementation led to slow performance of my code.

Therefore, I am seeking guidance on how to more professionally represent this relational structure in JavaScript for optimized code efficiency.

Answer №1

Although I haven't personally experimented with this, there are LINQ-inspired libraries for JavaScript available such as JSINQ. (The page also includes additional links to JS LINQ libraries at the end.)

According to the library, it allows you to "write arbitrarily complex queries against JavaScript arrays, DOM node lists or your own enumerable types", which may align with your needs.

Answer №2

class Element {
this.identifier;
this.elementType;
this.actions = new Array();

}

class Action() {
    this.id;
    this.actionType;
    this.actionData;
    this.targetElement;
    this.actionPriority;
}

Answer №3

Utilizing a dictionary to efficiently store entity data by unique identifiers makes accessing the information much faster. To maintain order in listings, arrays of IDs can be utilized. This concept was inspired by the principles of normalization in Redux as discussed at this source

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