$substr - Amazon DocumentDB
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$substr

The $substr operator in Amazon DocumentDB is used to extract a substring from a given string. It is particularly useful when you need to define substrings based on a range of characters, rather than a range of bytes. This is especially important when dealing with Unicode strings, where the number of bytes used to represent a character can vary.

Parameters

  • string: The input string from which to extract the substring.

  • start: The starting position (zero-based) of the substring to be extracted. Can be a non-negative integer expression.

  • length: The number of characters in the extracted substring. Can be a non-negative integer expression.

Example (MongoDB Shell)

In this example, we'll demonstrate the use of $substr to extract the state abbreviation from an employee's desk location.

Create sample documents

db.people.insertMany([ { "_id": 1, "Desk": "Düsseldorf-NRW-021" }, { "_id": 2, "Desk": "Bremerhaven-HBB-32a" }, { "_id": 3, "Desk": "Norderstedt-SHH-892.50" }, { "_id": 4, "Desk": "Brandenburg-BBB-78" } ]);

Query example

db.people.aggregate([ { $project: { "state": { $substr: ["$Desk", 12, 3] } } } ])

Output

{ "_id": 1, "state": "NRW" }, { "_id": 2, "state": "HBB" }, { "_id": 3, "state": "SHH" }, { "_id": 4, "state": "BBB" }

Code examples

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

Node.js
const { MongoClient } = 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"); const db = client.db("test"); const collection = db.collection("people"); const result = await collection.aggregate([ { $project: { "state": { $substrCP: ["$Desk", 12, 3] } } } ]).toArray(); console.log(result); await client.close(); } example();
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") db = client["test"] collection = db["people"] result = list(collection.aggregate([ { "$project": { "state": { "$substrCP": ["$Desk", 12, 3] } } } ])) print(result) client.close() example()