$divide - Amazon DocumentDB

$divide

The $divide operator in the Amazon DocumentDB aggregation pipeline is used to divide one number by another. It is a useful operator for performing mathematical operations on numeric fields within your documents.

Parameters

  • numerator: The dividend or the number to be divided.

  • denominator: The divisor or the number to divide by.

Example (MongoDB Shell)

This example demonstrates how to use the $divide operator to calculate the hourly rate for employees based on their yearly salary and the number of working hours per year.

Create sample documents

db.employees.insertMany([ { _id: 1, name: "John Doe", salary: 80000, hoursPerYear: 2080 }, { _id: 2, name: "Jane Smith", salary: 90000, hoursPerYear: 2080 }, { _id: 3, name: "Bob Johnson", salary: 75000, hoursPerYear: 2080 } ]);

Query example

db.employees.aggregate([ { $project: { name: 1, hourlyRate: { $divide: ["$salary", "$hoursPerYear"] } } } ])

Output

[ { "_id" : 1, "name" : "John Doe", "hourlyRate" : 38.46153846153846 }, { "_id" : 2, "name" : "Jane Smith", "hourlyRate" : 43.26923076923077 }, { "_id" : 3, "name" : "Bob Johnson", "hourlyRate" : 36.05769230769231 } ]

Code examples

To view a code example for using the $divide command, choose the tab for the language that you want to use:

Node.js
const { MongoClient } = require('mongodb'); async function calculateHourlyRate() { const client = await MongoClient.connect('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false'); const db = client.db('test'); const employees = db.collection('employees'); const result = await employees.aggregate([ { $project: { name: 1, hourlyRate: { $divide: ["$salary", "$hoursPerYear"] } } } ]).toArray(); console.log(result); client.close(); } calculateHourlyRate();
Python
from pymongo import MongoClient def calculate_hourly_rate(): client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') db = client.mydatabase employees = db.employees result = list(employees.aggregate([ { '$project': { 'name': 1, 'hourlyRate': { '$divide': ['$salary', '$hoursPerYear'] } } } ])) print(result) client.close() calculate_hourly_rate()