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Description

Error 11601, 'Interrupted', indicates that a MongoDB operation was stopped prematurely before completion. This typically occurs when a client explicitly cancels an operation, a timeout is reached, or the server process terminates unexpectedly while the operation is in progress.

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Error Message

Interrupted

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Known Causes

3 known causes

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Client-Side Cancellation

A connected client application or user explicitly issued a command to terminate the ongoing MongoDB operation.

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Driver Timeout Exceeded

The MongoDB driver or client library reached its configured timeout limit for the operation, causing it to be forcibly interrupted.

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Server Shutdown or Restart

The MongoDB server process was shut down or restarted while an operation was still actively executing, leading to its interruption.

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Solutions

4 solutions available

1. Identify and Terminate Blocking Operations medium

Find and stop long-running or problematic operations that might be causing interruptions.

1

Connect to your MongoDB instance using the mongo shell.

mongo

2

List all currently running operations to identify potential culprits. Look for operations that have been running for an unusually long time or are consuming excessive resources.

db.currentOp().inprog

3

If you identify a problematic operation (e.g., a long-running aggregation, update, or delete), you can terminate it using the `killOp` command. Replace `operationId` with the `opid` from the `currentOp()` output.

db.killOp(operationId)

4

Re-run the operation that previously failed to see if it now completes successfully.

2. Increase Operation Timeout Settings medium

Adjust MongoDB's timeout configurations to allow more time for operations to complete.

1

Understand that this error can sometimes occur if an operation exceeds the default timeout. While MongoDB itself doesn't have a single global 'operation timeout' setting that directly maps to this error, client-side drivers often have their own timeouts. For server-side operations, this usually points to an underlying resource issue or a very long-running query that should be optimized.

N/A

2

If the error originates from a client application, check the connection string or driver configuration for any `timeoutMS` or similar settings and increase them.

Example for Node.js driver:
const MongoClient = require('mongodb').MongoClient;
const uri = "mongodb://localhost:27017/mydatabase?serverSelectionTimeoutMS=5000&connectTimeoutMS=10000";
const client = new MongoClient(uri);
client.connect(err => {
  // ...
});

3

For server-side operations, focus on query optimization. Analyze slow queries using `explain()` and `profile` to identify bottlenecks rather than relying on increasing timeouts, which can mask underlying performance problems.

db.collection.find(...).explain()

3. Investigate and Resolve Resource Contention advanced

Check for system-level resource issues that might be causing MongoDB operations to be interrupted.

1

Monitor your server's CPU, memory, and disk I/O. High utilization in any of these areas can lead to operations being terminated due to system constraints.

On Linux: top, htop, iostat, vmstat
On Windows: Task Manager, Performance Monitor

2

Check MongoDB's log files for any related errors or warnings. The log files often provide more context about why an operation might have been interrupted.

Default log file location varies by OS, but often found in /var/log/mongodb/mongod.log on Linux.

3

If you are running MongoDB on a virtual machine or cloud instance, ensure that the allocated resources are sufficient for your workload. Consider scaling up your instance if necessary.

N/A

4

Ensure that your disk subsystem is performing adequately. Slow disk I/O can significantly impact database operations.

N/A

4. Review and Optimize Long-Running Queries medium

Identify and tune slow queries that might be prone to interruption.

1

Enable the database profiler to capture slow operations. You can set the `slowms` value to a reasonable threshold.

db.setProfilingLevel(1, { slowms: 100 });

2

Query the `system.profile` collection to find slow queries.

db.system.profile.find({ op: 'query', millis: { $gt: 100 } }).pretty();

3

For each slow query identified, use `explain()` to understand its execution plan.

db.collection.find({ field: 'value' }).explain()

4

Add appropriate indexes to your collections to speed up query execution. Based on the `explain()` output, identify fields that are being scanned inefficiently and create indexes on them.

db.collection.createIndex({ fieldName: 1 });

5

Re-run the operation after indexing and optimization to confirm the error is resolved.

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Related Errors

5 related errors

MongoDB Error 11601: Operation Interrupted