$sqrt - Amazon DocumentDB (original) (raw)

New from version 4.0.

The $sqrt operator in Amazon DocumentDB is used to calculate the square root of a number.

Parameters

Example (MongoDB Shell)

The following example demonstrates the usage of the $sqrt operator to calculate the square root of a number.

Create sample documents

db.numbers.insertMany([
  { "_id": 1, "number": 16 },
  { "_id": 2, "number": 36 },
  { "_id": 3, "number": 64 }
]);

Query example

db.numbers.aggregate([
  { $project: {
    "_id": 1,
    "square_root": { <span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>s</mi><mi>q</mi><mi>r</mi><mi>t</mi><mo>:</mo><mi mathvariant="normal">&quot;</mi></mrow><annotation encoding="application/x-tex">sqrt: &quot;</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.8095em;vertical-align:-0.1944em;"></span><span class="mord mathnormal">s</span><span class="mord mathnormal" style="margin-right:0.03588em;">q</span><span class="mord mathnormal" style="margin-right:0.02778em;">r</span><span class="mord mathnormal">t</span><span class="mspace" style="margin-right:0.2778em;"></span><span class="mrel">:</span><span class="mspace" style="margin-right:0.2778em;"></span></span><span class="base"><span class="strut" style="height:0.6944em;"></span><span class="mord">&quot;</span></span></span></span>number" }
  }}
]);

Output

[
  { _id: 1, square_root: 4 },
  { _id: 2, square_root: 6 },
  { _id: 3, square_root: 8 }
]

Code examples

To view a code example for using the $sqrt 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');

  try {
      await client.connect();

      const db = client.db('test');
      const collection = db.collection('numbers');

      const pipeline = [
        {
          $project: {
            _id: 1,
            square_root: { <span class="katex"><span class="katex-mathml"><math xmlns="http://www.w3.org/1998/Math/MathML"><semantics><mrow><mi>s</mi><mi>q</mi><mi>r</mi><mi>t</mi><msup><mo>:</mo><mo mathvariant="normal" lspace="0em" rspace="0em">′</mo></msup></mrow><annotation encoding="application/x-tex">sqrt: &#x27;</annotation></semantics></math></span><span class="katex-html" aria-hidden="true"><span class="base"><span class="strut" style="height:0.9463em;vertical-align:-0.1944em;"></span><span class="mord mathnormal">s</span><span class="mord mathnormal" style="margin-right:0.03588em;">q</span><span class="mord mathnormal" style="margin-right:0.02778em;">r</span><span class="mord mathnormal">t</span><span class="mspace" style="margin-right:0.2778em;"></span><span class="mrel"><span class="mrel">:</span><span class="msupsub"><span class="vlist-t"><span class="vlist-r"><span class="vlist" style="height:0.7519em;"><span style="top:-3.063em;margin-right:0.05em;"><span class="pstrut" style="height:2.7em;"></span><span class="sizing reset-size6 size3 mtight"><span class="mord mtight"><span class="mord mtight">′</span></span></span></span></span></span></span></span></span></span></span></span>number' }
          }
        }
      ];

      const results = await collection.aggregate(pipeline).toArray();

      console.dir(results, { depth: null });

    } 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.numbers

      pipeline = [
          {
              "$project": {
                  "_id": 1,
                  "square_root": { 
                    "$sqrt": "$number" 
                  }
              }
          }
      ]

      results = collection.aggregate(pipeline)

      for doc in results:
          print(doc)

  except Exception as e:
      print(f"An error occurred: {e}")

  finally:
      client.close()

example()