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$gte
The $gte operator in Amazon DocumentDB is used to match values that are greater than or equal to a specified value. This operator is useful for filtering and querying data based on numerical comparisons.
Parameters
Example (MongoDB Shell)
The following example demonstrates the usage of the $gte operator in Amazon DocumentDB to find all documents where the "age" field is greater than or equal to 25.
Create sample documents
db.users.insertMany([
{ _id: 1, name: "John", age: 20 },
{ _id: 2, name: "Jane", age: 25 },
{ _id: 3, name: "Bob", age: 30 },
{ _id: 4, name: "Alice", age: 35 }
]);
Query example
db.users.find({ age: { $gte: 25 } }, { _id: 0, name: 1, age: 1 });
Output
{ "name" : "Jane", "age" : 25 }
{ "name" : "Bob", "age" : 30 }
{ "name" : "Alice", "age" : 35 }
Code examples
To view a code example for using the $gte command, choose the tab for the language that you want to use:
- Node.js
-
const { MongoClient } = require('mongodb');
async function findUsersAboveAge(age) {
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 users = db.collection('users');
const result = await users.find({ age: { $gte: age } }, { projection: { _id: 0, name: 1, age: 1 } }).toArray();
console.log(result);
await client.close();
}
findUsersAboveAge(25);
- Python
-
from pymongo import MongoClient
def find_users_above_age(age):
client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false')
db = client.test
users = db.users
result = list(users.find({ 'age': { '$gte': age } }, { '_id': 0, 'name': 1, 'age': 1 }))
print(result)
client.close()
find_users_above_age(25)