$rtrim - Amazon DocumentDB
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$rtrim

New from version 4.0.

Not supported by Elastic cluster.

The $rtrim operator in Amazon DocumentDB is used to remove trailing characters from a string. By default, it removes trailing whitespace characters, but you can also specify a set of characters to remove by passing the chars argument.

Parameters

  • input: The input string from which to remove trailing whitespace characters.

  • chars: (optional) To remove specific characters.

Example (MongoDB Shell)

The following example demonstrates how to use the $rtrim operator to remove trailing specified characters (" *") from a string.

Create sample documents

db.collection.insert([ { "name": "John Doe* ", "age": 30 }, { "name": "Jane Smith ", "age": 25 }, { "name": "Bob Johnson", "age": 35 } ]);

Query example

db.collection.aggregate([ { $project: { _id: 0, name: { $rtrim: { input: "$name", chars: " *" } }, age: 1 } } ]);

Output

[ { age: 30, name: 'John Doe' }, { age: 25, name: 'Jane Smith' }, { age: 35, name: 'Bob Johnson' } ]

Code examples

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

Node.js
const { MongoClient, Bson } = require('mongodb'); async function example() { const client = await MongoClient.connect('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false'); try { const db = client.db('test'); const collection = db.collection('collection'); const pipeline = [ { $project: { _id: 0, name: { $rtrim: { input: "$name", chars: " *" } }, age: 1 } } ]; const results = await collection.aggregate(pipeline).toArray(); console.dir(results, { depth: null }); } catch (err) { console.error('Error occurred:', err); } finally { await client.close(); } } example().catch(console.error);
Python
from pymongo import MongoClient def example(): client = MongoClient('mongodb://<username>:<password>@<cluster-endpoint>:27017/?tls=true&tlsCAFile=global-bundle.pem&replicaSet=rs0&readPreference=secondaryPreferred&retryWrites=false') try: db = client.test collection = db.collection pipeline = [ { "$project": { "_id": 0, "name": { "$rtrim": { "input": "$name", "chars": " *" } }, "age": 1 } } ] results = collection.aggregate(pipeline) for doc in results: print(doc) except Exception as e: print(f"An error occurred: {e}") finally: client.close() example()