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How do you fix “cursor not found” errors during data retrieval?

The cursor not found error in MongoDB typically occurs during data retrieval with cursors, and it means the server killed the cursor before the client finished reading all documents.

How do you fix “cursor not found” errors during data retrieval?

⚠️ Common Error Message

pgsql

error: cursor not found, cursor id: <some_id>

🔍 Why This Happens

Here are the main causes:

1. Cursor Timed Out

MongoDB automatically kills idle cursors after 10 minutes (600 seconds) of inactivity.

2. Client Reading Too Slowly

If the client opens a cursor and waits too long (e.g., network lag or slow processing), the cursor may be closed server-side.

3. Connection Issues

If the client loses connection or restarts during an active cursor session, the cursor is lost.

4. Killed by Server

Cursors can be killed manually, or due to memory pressure or server conditions.

5. Cursor Exhausted

If the client attempts to fetch more data after the cursor is exhausted (i.e., all data has been read), this error can sometimes appear.

✅ How to Fix It

🛠 1. Use .noCursorTimeout() (with caution)

If you expect to hold a cursor open for a long time:

db.collection.find(query).noCursorTimeout()

This prevents MongoDB from automatically closing it.
BUT: You must close it manually when done using .close() to avoid memory leaks.

🛠 2. Fetch Data in Batches Quickly

Make sure your app:

🛠 3. Use batchSize to Control Load

Lower batch sizes help avoid long idle periods:

db.collection.find(query).batchSize(100)

Or use this in aggregation:

db.collection.aggregate([...], { batchSize: 100 })

🛠 4. Handle Cursor Exceptions Gracefully

Wrap cursor-based reads in try/catch and reconnect logic:

try { const cursor = db.collection.find(query) for await (const doc of cursor) { process(doc) } } catch (e) { if (e.message.includes("cursor not found")) { // Retry or restart the operation } }

🛠 5. Avoid Long Client-Side Blocking

Don’t pause between .next() calls or block while a cursor is open.

🧪 Extra: For Aggregation Pipelines

Use allowDiskUse and smaller batch sizes to avoid memory-related cursor closures:

db.collection.aggregate([...], { allowDiskUse: true, batchSize: 100 })

🚫 When Not to Use .noCursorTimeout()

  • On short queries

  • In high-load systems without strict resource cleanup

  • When using long-lived scripts without .close()

✅ Summary

CauseFix
Cursor timeoutUse .noCursorTimeout() carefully
Slow client processingProcess data in real time
Large batchesUse batchSize() to break it up
Server pressure / disconnectionAdd retry logic, reconnect
Exhausted cursorEnsure correct loop and closing

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