MongoDB $sinh Operator

Posted in mongoDB Tutorial

Updated on Oct 31, 2024

By Mari Selvan

👁️ 28 - Views

⏳ 4 mins

💬 1 Comment

Photo Credit to CodeToFun

🙋 Introduction

In MongoDB's aggregation framework, the $sinh operator offers a powerful tool for computing the hyperbolic sine of a given number. This operator is particularly useful in scenarios where you need to work with exponential growth or decay phenomena.

Let's dive into the details of how the $sinh operator functions within MongoDB's aggregation pipelines.

💡 Syntax

The syntax for the $sinh method is straightforward:

syntax.js

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{ $sinh: <expression> }

$sinh: This operator signifies that the subsequent operation will compute the hyperbolic sine.
<expression>: This represents the numerical expression for which the hyperbolic sine will be calculated. It could be a field reference, a mathematical expression, or a value.

📝 Example

⌨️ Input

Consider a collection named exponentialData containing documents with fields x representing numerical values. Here are sample documents from the exponentialData collection:

Output

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[
  { "_id": ObjectId("609c26812e9274a86871bc6a"), "x": 1 },
  { "_id": ObjectId("609c26812e9274a86871bc6b"), "x": 2 },
  { "_id": ObjectId("609c26812e9274a86871bc6c"), "x": 3 }
]

🔄 Aggregation

Suppose we want to compute the hyperbolic sine of each value in the collection. Here's how you can achieve this using the $sinh operator:

example.js

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db.exponentialData.aggregate([
  {
    $project: {
      sinhValue: { $sinh: "$x" }
    }
  }
])

🧩 Explanation

$project: This stage reshapes documents, including, excluding, or adding new fields.
$sinh: Computes the hyperbolic sine of the specified field (x in this case).

When discussing how the above aggregation works:

For the first document, the value of x is 1. The hyperbolic sine of 1 is approximately 1.1752011936438014.
For the second document, the value of x is 2. The hyperbolic sine of 2 is approximately 3.626860407847019.
For the third document, the value of x is 3. The hyperbolic sine of 3 is approximately 10.017874927409903.

💻 Output

Now, let's take a look at the output generated by the aggregation pipeline:

Output

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{ "_id": ObjectId("609c26812e9274a86871bc6a"), "sinhValue": 1.1752011936438014 }
{ "_id": ObjectId("609c26812e9274a86871bc6b"), "sinhValue": 3.626860407847019 }
{ "_id": ObjectId("609c26812e9274a86871bc6c"), "sinhValue": 10.017874927409903 }

📚 Use Cases

Exponential Growth Modeling:

The $sinh operator is valuable for modeling processes exhibiting exponential growth, such as population growth or chemical reactions.
Financial Forecasting:

Hyperbolic sine functions can be used in financial models to forecast exponential changes in asset prices or interest rates.
Natural Phenomena Simulation:

In scientific simulations, the hyperbolic sine function is employed to model various natural phenomena characterized by exponential behavior.

🎉 Conclusion

The $sinh operator in MongoDB's aggregation framework provides a versatile tool for computing the hyperbolic sine of numerical values, enabling users to analyze and model exponential growth phenomena effectively. Whether you're forecasting financial trends, simulating natural phenomena, or conducting scientific research, mastering the usage of $sinh empowers you to extract valuable insights from your data.

With its intuitive syntax and diverse applications, the $sinh operator proves to be a valuable asset for handling numerical data effectively within MongoDB. Incorporate it into your aggregation pipelines to unlock new dimensions of data analysis and gain deeper insights into your datasets.