MongoError data resource_error ai_generated true

MongoError: connection pool exhausted

ID: data/mongodb-connection-pool-exhausted

Also available as: JSON · Markdown · 中文
80%Fix Rate
85%Confidence
1Evidence
2023-03-15First Seen

Version Compatibility

VersionStatusIntroducedDeprecatedNotes
MongoDB 5.0 active — — —
MongoDB 6.0 active — — —
MongoDB 7.0 active — — —
Node.js driver 4.0+ active — — —

Root Cause

All connections in the MongoDB driver's connection pool are in use and no new connections can be created, typically due to slow queries or insufficient pool size.

generic

中文

MongoDB 驱动程序的连接池中的所有连接都已被占用，无法创建新连接，通常是由于查询缓慢或池大小不足导致。

Official Documentation

https://www.mongodb.com/docs/drivers/node/current/connection-pool-monitoring/

Workarounds

  1. 75% success Increase maxPoolSize and add connection pooling monitoring to detect slow operations. In Node.js: `const client = new MongoClient(uri, { maxPoolSize: 100 });` 
    Increase maxPoolSize and add connection pooling monitoring to detect slow operations. In Node.js: `const client = new MongoClient(uri, { maxPoolSize: 100 });`
  2. 85% success Optimize slow queries by adding indexes and using explain() to identify full collection scans. Example: `db.collection.createIndex({ field: 1 });` 
    Optimize slow queries by adding indexes and using explain() to identify full collection scans. Example: `db.collection.createIndex({ field: 1 });`
  3. 70% success Implement connection pool draining and retry logic in application code to gracefully handle transient exhaustion. 
    Implement connection pool draining and retry logic in application code to gracefully handle transient exhaustion.

中文步骤

  1. Increase maxPoolSize and add connection pooling monitoring to detect slow operations. In Node.js: `const client = new MongoClient(uri, { maxPoolSize: 100 });`
  2. Optimize slow queries by adding indexes and using explain() to identify full collection scans. Example: `db.collection.createIndex({ field: 1 });`
  3. Implement connection pool draining and retry logic in application code to gracefully handle transient exhaustion.

Dead Ends

Common approaches that don't work:

  1. 65% fail

    More connections increase contention and memory usage on the server, causing slower queries and more timeouts.

  2. 40% fail

    The root cause (slow queries or insufficient indexing) remains unaddressed.

  3. 55% fail

    Timeouts may kill slow queries but don't fix the underlying performance issue, leading to data inconsistency.