Why should you care?

Seeding a product catalog, importing CSV batches, or bulk-loading sensor history is much faster than a loop of insertOne from the client.

See it live — copy this example

Open mongosh or MongoDB Compass, select database nosqlverse, then run the example. Change one field and run again.

db.products.insertMany([
  { sku: "P1", name: "USB-C Hub", price: 1499, stock: 40 },
  { sku: "P2", name: "Webcam", price: 2999, stock: 15 },
  { sku: "P3", name: "Ring Light", price: 999, stock: 80 }
], { ordered: true })
db.products.find({ sku: { $in: ["P1", "P2", "P3"] } })

Run Example »

Edit the code below and click Run to see the result in Toolliyo’s live editor.

What happened?

• Three product documents are inserted together.
• ordered: true stops if one fails.
• $in finds all three SKUs.
• insertMany returns insertedIds for each.

Practice next

1. Run insertMany with the three products.
2. Count with countDocuments({ sku: /^P/ }).
3. Try insertMany with a duplicate sku if you add a unique index (later).
4. Add a fourth product in the array.
5. Log the length of result.insertedIds.

Remember

insertMany bulk-creates documents. ordered controls fail-fast vs continue. Great for seeds and imports.

Myntra seasonal catalog load

Before a sale, merchandising imports 5,000 new SKUs from a feed into products via batched insertMany.

Outcome: Catalog goes live in minutes instead of hours of single inserts.