# JS Internals: Understanding JavaScript Global & Local Execution Context

Let’s first look at a real-world scenario before jumping into JavaScript.

Imagine a wooden furniture factory that manufactures different types of furniture. To better understand the process, let’s see how the factory works internally.

The factory uses several types of wood. For simplicity, let’s assume the following types are used:

1.  Sagwan
    
2.  Mango
    
3.  Sheesham
    

Inside the factory, the work is divided into multiple departments

1.  Cutting
    
2.  Framing
    
3.  Polishing
    
4.  Cushion
    
5.  Quality Assurance
    

There is a centralized execution chain of the factory on which the departments work, and each department performs its task in a specific order in the execution chain.

![](https://cdn.hashnode.com/uploads/covers/696877fccb285855f0758646/be9c78b8-ba05-4b5d-999c-892d1d9f56fe.png align="center")

The entire factory has a central board on which it is mentioned:

*   The order of departments working inside the factory
    
*   What needs to be done
    

![](https://cdn.hashnode.com/uploads/covers/696877fccb285855f0758646/e8194020-7e32-41e3-99c2-442a7515babe.png align="center")

Inside the department, there will definitely be so many works which are working one by one for their individual task. So, each department also has its own board (or blackboard) where two things are written:

*   The order of individual tasks to be done inside the department
    
*   The actual tasks that need to be performed in that department
    

![](data:image/png;base64,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 align="center")

There is also a manager in the factory whose job is to:

*   Monitor the progress of the work
    
*   Ensure that each department performs its task in the correct order
    

Let's combine the diagrams to see the full factory view:

![](https://cdn.hashnode.com/uploads/covers/696877fccb285855f0758646/903ce76a-744f-4da8-8638-503ee2df075c.png align="center")

Now the factory receives an order to build a wooden sofa with Sagwan wood.

Steps:

1.  The very first step is to analyze the wood that has been received.
    
2.  On the central factory blackboard:
    
    *   What to be done: Build a sofa with a specific size mentioned
        
    *   Order of work done: Cutting -> Framing -> Polishing -> Cushion -> QA
        
3.  Wood comes to the Cutting department. On the Cutting department blackboard:
    
    *   What to be done: Cut the wood into a smaller size as mentioned
        
    *   Order of work: Cut big wood logs -> Cutting into smaller chunks
        
4.  Chunks of wood come to the Framing department. On the Framing department blackboard:
    
    1.  What to be done: Frame the received pieces of wood into the given size
        
    2.  Order of work: Smoothen the wood -> Frame into the size of the sofa -> Finishing
        
5.  A framed sofa comes to the Polishing department. On the Polishing department blackboard:
    
    1.  What to be done: Polish the received sofa frame
        
    2.  Order of work: Apply polish -> Rubbing
        
6.  A polished sofa comes to the Cushion department. On the Cushion department blackboard:
    
    1.  What to be done: Apply a cushion on the sofa frame
        
    2.  Order of work: Cutting cushion -> Stitching and pasting
        
7.  A final piece comes to the QA department. On the QA department blackboard:
    
    1.  What to be done: Check the quality and overall sofa
        
    2.  Order of work: Checking the quality
        

All of these steps are done under the supervision of the manager and if any process fails in between, the manager can ask the department to do the work again properly.

Things to remember:

1.  The tasks done are executed on the execution chain. The execution chain is inside the factory
    
2.  There are some sub-tasks inside the department, which are inside the department. But the space allotted to the department is inside the factory, So those subtasks are also belong to the factory.
    

Javascript program execution works the same way. To understand this, let's replace a few terms with Javascript terminology.

![](data:image/png;base64,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align="center")

Here,

*   Wood types -> Data types
    
*   Factory -> Global Execution Context
    
*   Global Execution has two phases:
    
    *   Code Phase / Thread Phase
        
    *   Memory Phase
        
*   Departments -> Functions, Functions has its own Local Execution Context, which further has two phases:
    
    *   Code Phase / Thread Phase
        
    *   Memory Phase
        
*   Manager -> Call Stack, who is responsible for maintaining the order of execution of the functions.
    

**So, whenever a JS code has been executed:**

1.  A global execution context is created (also known as the Creation Phase).
    
2.  Declare the variables and store the definition of functions inside the Memory of the Global Execution Context (also known as Memory Phase).
    
3.  Now the execution of code starts line by line, which checks the current value of the variables in the memory and reads the definitions of the functions from the memory (also known as Code Phase).
    
4.  If there is any function in the code:
    
    1.  Create the Local Execution Context for the function.
        
    2.  Declare the variables in Local Execution Context (also known as Memory Phase for Local Context).
        
    3.  Execute the code of the function line by line.
        
    4.  Once all the code inside the function is executed completely, it returns the value to the Global Context
        
5.  Global Execution Context executes the remaining code until all the code is executed.
    

**Let's take an example to understand the flow:**

Here is a small code snippet:

```javascript
var value1 = 10;
var value2 = 20;

function sum(sumNum1, sumNum2, sumNum3) {
    return sumNum1 + sumNum2 + sumNum3;
}

function calculate(calcNum1, calcNum2) {
  	var calcNum3 = 30;
    var total = sum(calcNum1, calcNum2, calcNum3);
    return total;
}

var result = calculate(value1, value2);
console.log(result);
```

Steps in which JS code is executed:

### **Global Execution context (Factory)**

1.  **Creation Phase**  
    Global Execution Context is created  
    (*Blackboard for the factory is ready*)  
      
    global is assigned to `this` (Global can vary depending on the environment in which the code is running. In the browser, it will be a window object.)
    
    ```javascript
    Global Execution Context Memory
    ________________________________________________________
    | window: global object                                |
    | this: window                                         |
    --------------------------------------------------------
    ```
    
2.  **Memory Phase**: Variable and Function Definition get stored in Global Memory  
    (*What to be done, the size, and the material of the sofa are now mentioned on the blackboard*)  
      
    `value1` is declared in memory with a value `undefined`  
    `value2` is declared in memory with a value `undefined`  
    The declaration of the `sum` function is stored in memory.  
    The declaration of the `calculate` function is stored in memory.  
    `result` is declared in the memory with a value `undefined`
    
    ```javascript
    Global Execution Context Memory
    ________________________________________________________
    | window: global object                                |
    | this: window                                         |
    |                                                      |
    | value1: undefined                                    |
    | value2: undefined                                    |
    | sum: fn()                                            |
    | calculate: fn()                                      |
    | result: undefined                                    |
    --------------------------------------------------------
    ```
    
3.  **Execution Phase**: Execution of code line by line. Execution is done by the JS engine on main thread.  
    (*Sofa building process starts now*)  
      
    The value of `value1` is initialized as `10`.  
    The value of `value2` is initialized as `20`.  
    The `calculate` function is called, so a new **Local Execution Context** is created and pushed onto the **Call Stack**.
    
    ```javascript
    Global Execution Context Memory
    ________________________________________________________
    | window: global object                                |
    | this: window                                         |
    |                                                      |
    | value1: 10                                           |
    | value2: 20                                           |
    | sum: fn()                                            |
    | calculate: fn()                                      |
    | result: undefined                                    |
    --------------------------------------------------------
    ```
    
    1.  **Creation Phase:** Local Execution Context is created for calculate  
        (*Blackboard for the Department is ready*)  
          
        `calcNum1` is declared in memory with a value `10`  
        `calcNum2` is declared in memory with a value `20`
        
        ```javascript
        Global Execution Context Memory
        ________________________________________________________
        | window: global object                                |
        | this: window                                         |
        |                                                      |
        | value1: 10                                           |
        | value2: 20                                           |
        | sum: fn()                                            |
        | calculate: fn()                                      |
        |                                                      |
        | Local Execution Context Memory for calculate()       |
        | ---------------------------------------------------- |
        | | this: window                                     | |
        | | calcNum1: 10                                     | |
        | | calcNum2: 20                                     | |
        | | total: undefined                                 | |
        | ---------------------------------------------------- |
        |                                                      |
        | result: undefined                                    |
        --------------------------------------------------------
        ```
        
    2.  **Memory Phase**: Variable and Function Definition get stored in Local Memory  
        (*What to be done and the used things are now mentioned on the department blackboard*)  
          
        `calcNum3` is declared in memory with a value `undefined`  
        `total` is declared in memory with a value `undefined`
        
        ```javascript
        Global Execution Context Memory
        ________________________________________________________
        | window: global object                                |
        | this: window                                         |
        |                                                      |
        | value1: 10                                           |
        | value2: 20                                           |
        | sum: fn()                                            |
        | calculate: fn()                                      |
        |                                                      |
        | Local Execution Context Memory for calculate()       |
        | ---------------------------------------------------- |
        | | this: window                                     | |
        | | calcNum1: 10                                     | |
        | | calcNum2: 20                                     | |
        | | calcNum3: undefined                              | |
        | | total: undefined                                 | |
        | ---------------------------------------------------- |
        |                                                      |
        | result: undefined                                    |
        --------------------------------------------------------
        ```
        
    3.  **Execution Phase**: Execution inside `calculate` function. Execution of code line by line on main thread.  
          
        The value of `calcNum3` is initialized as `30`.  
        The `sum` function is called, so a new **Local Execution Context** is created and pushed onto the **Call Stack**.
        
        ```javascript
        Global Execution Context Memory
        ________________________________________________________
        | window: global object                                |
        | this: window                                         |
        |                                                      |
        | value1: 10                                           |
        | value2: 20                                           |
        | sum: fn()                                            |
        | calculate: fn()                                      |
        |                                                      |
        | Local Execution Context Memory for calculate()       |
        | ---------------------------------------------------- |
        | | this: window                                     | |
        | | calcNum1: 10                                     | |
        | | calcNum2: 20                                     | |
        | | calcNum3: undefined                              | |
        | | total: undefined                                 | |
        | ---------------------------------------------------- |
        |                                                      |
        | result: undefined                                    |
        --------------------------------------------------------
        ```
        
        ### Local Execution Context (Departments)
        
        1.  **Creation Phase:** Local Execution Context is created for sum  
            (*Blackboard for the Sub-Department is ready*)  
              
            `sumNum1` is declared in memory with a value `10`  
            `sumNum2` is declared in memory with a value `20`  
            `sumNum3` is declared in memory with a value `30`
            
            ```javascript
            Global Execution Context Memory
            ________________________________________________________
            | window: global object                                |
            | this: window                                         |
            |                                                      |
            | value1: 10                                           |
            | value2: 20                                           |
            | sum: fn()                                            |
            | calculate: fn()                                      |
            |                                                      |
            | Local Execution Context Memory for calculate()       |
            | ---------------------------------------------------- |
            | | this: window                                     | |
            | | calcNum1: 10                                     | |
            | | calcNum2: 20                                     | |
            | | calcNum3: undefined                              | |
            | | total: undefined                                 | |
            | |                                                  | |
            | | Local Execution Context Memory for sum()         | |
            | | ________________________________________________ | |
            | | | this: window                                 | | |
            | | | sumNum1: 10                                  | | |
            | | | sumNum2: 20                                  | | |
            | | | sumNum3: 30                                  | | |
            | | ------------------------------------------------ | |
            | ---------------------------------------------------- |
            |                                                      |
            | result: undefined                                    |
            --------------------------------------------------------
            ```
            
        2.  **Memory Phase:** SInce there is no variable value needs to be assigned to memory. Nothing will happen for sum function in this phase.
            
        3.  **Execution Phase:** Sum of 3 variables has been returned by sum function.
            
        4.  The execution context for **sum** is now destroyed.
            
    4.  **Execution Phase**: Back to execution of calculate function  
        The value of `total` is now been updated to `60`  
        
        ```javascript
        Global Execution Context Memory
        ________________________________________________________
        | window: global object                                |
        | this: window                                         |
        |                                                      |
        | value1: 10                                           |
        | value2: 20                                           |
        | sum: fn()                                            |
        | calculate: fn()                                      |
        |                                                      |
        | Local Execution Context Memory for calculate()       |
        | ---------------------------------------------------- |
        | | this: window                                     | |
        | | calcNum1: 10                                     | |
        | | calcNum2: 20                                     | |
        | | calcNum3: undefined                              | |
        | | total: 60                                        | |
        | ---------------------------------------------------- |
        |                                                      |
        | result: undefined                                    |
        --------------------------------------------------------
        ```
        
    5.  **Execution Phase**: The value of `total` is now been returned and the Local Context for `calculate` is now destroyed.
        
4.  **Execution Phase**: Back to execution of global context  
    The value of `result` is now been updated to `60`  
    
    ```javascript
    Global Execution Context Memory
    ________________________________________________________
    | window: global object                                |
    | this: window                                         |
    |                                                      |
    | value1: 10                                           |
    | value2: 20                                           |
    | sum: fn()                                            |
    | calculate: fn()                                      |
    |                                                      |
    | result: 60                                           |
    --------------------------------------------------------
    ```
    
5.  **Execution Phase**: console.log reads result from memory and prints `60`
    

## Call Stack (Manager)

The Call Stack works like a stack of tasks.

When a function is called, its execution context is pushed onto the stack.

When the function finishes execution, it is popped from the stack.

## Single thread

You have heard about that Javascript is single thread language.

That means:

*   Global code runs on main thread
    
*   When execution of code contains a function
    
    *   A local context is created
        
    *   That context is pushed into Call stack
        
    *   The main thread now start executing the function logic
        
    *   After execution, the local context is removed and destroyed
        
*   No other thread is created while execution other than main thread.
    

> Function create execution context, not threads

## Assignment for practice

Install Node.js (runtime environment) and VSCode (code editor)

Open VSCode, create a file `practice.js` and copy the above code into that file.

Click on Terminal -> New Terminal from the menu bar on top.

From select terminal, selected "Javascript Debug Terminal".

![](https://cdn.hashnode.com/uploads/covers/696877fccb285855f0758646/f152b8e4-c03e-48e7-b6e8-f8cc73a8bd74.png align="center")

Add breakpoints by clicking on the gutter (the space). Red dot indicate that the breakpoint is added on that line.

![](https://cdn.hashnode.com/uploads/covers/696877fccb285855f0758646/2c07ed69-2207-49a9-81d2-81c59179f0a8.png align="center")

Now, run `node practice.js` . Make sure you are in the same folder inside the terminal.

Try to play around with the next breakpoint button and observe the values of the context section.

![](https://cdn.hashnode.com/uploads/covers/696877fccb285855f0758646/a46f40b4-49f1-415d-8ccf-10f6e9622b47.png align="center")

## Conclusion

JavaScript executes code using Execution Contexts and the Call Stack.

The Global Execution Context runs first, and every function call creates a new Local Execution Context.

These contexts are managed by the Call Stack to ensure that code executes in the correct order.  
  
Follow the series to learn more about Javascript.