MongoDB $log10
Operator
The $log10
operator in MongoDB is used to calculate the logarithm base 10 of a numeric expression. It is commonly utilized within the $project
stage of an aggregation pipeline to perform mathematical logarithmic operations on field values. This guide will cover the syntax, examples, output, explanations, use cases, important points, and a summary of using the $log10
operator in MongoDB aggregation.
Syntax
{ $log10: <expression> }
<expression>
: A numeric expression or field reference for which to calculate the logarithm base 10.
Example
Consider a collection named statistics
with documents containing revenue
and expenses
fields. We want to calculate the logarithm base 10 of the profit
(revenue minus expenses) during an aggregation.
db.statistics.aggregate([
{
$project: {
date: 1,
profit_log10: { $log10: { $subtract: ["$revenue", "$expenses"] } }
}
}
]);
Output
The output will display documents with the date
and calculated profit_log10
fields.
[
{ "_id": ObjectId("..."), "date": ISODate("2023-01-01"), "profit_log10": 3.0 },
{ "_id": ObjectId("..."), "date": ISODate("2023-01-02"), "profit_log10": 2.5 },
// ... other documents
]
Explanation
- The
$log10
operator is used within the$project
stage to calculate the logarithm base 10 of theprofit
(result of subtractingexpenses
fromrevenue
) for each document. - The result is included in the output as the
profit_log10
field.
Use
The $log10
operator in MongoDB is used for:
- Calculating the logarithm base 10 of numeric values in aggregation pipelines.
- Performing mathematical operations on fields within the
$project
stage. - Analyzing and transforming data that involves logarithmic scales.
Important Points
- The
$log10
operator takes a single expression as its argument. - It is commonly used in conjunction with other arithmetic or logarithmic operators within aggregation pipelines.
- Ensure that the expressions provided result in valid numeric values.
Summary
The $log10
operator in MongoDB provides a way to calculate the logarithm base 10 of numeric expressions within aggregation pipelines. It is useful for scenarios where data analysis involves logarithmic scales or when transforming data to a different scale is required. Understanding how to use the $log10
operator is valuable for MongoDB developers working with aggregation pipelines to analyze and derive insights from data.