Error: dokku redis can't save in background fork cannot allocate memory
What's Causing This Error
The error "dokku redis can't save in background fork cannot allocate memory" occurs when Redis fails to create a child process (fork) to handle the saving of data in the background. This failure is due to insufficient system memory available for the fork operation. Redis requires enough memory to create a copy of its entire dataset during the fork, as it uses a Copy-On-Write (COW) mechanism to save data efficiently without affecting the main process.
Solution - Here's How To Resolve It
To resolve this issue, you have several options:
- Increase the available system memory: You could either upgrade your server's RAM or free up some memory by stopping other memory-consuming processes running on the same machine.
- Optimize Redis memory usage: Review your Redis configuration settings and adjust them to minimize memory consumption, such as using
maxmemory
andmaxmemory-policy
directives. - Adjust overcommit settings: Modify the
vm.overcommit_memory
kernel parameter to allow Redis to allocate more memory for the fork operation. Set it to 1 to allow more aggressive allocation, but be cautious as this might lead to out-of-memory problems. - Reduce the frequency of data persistence: Alter the Redis configuration settings that control how often data is saved (e.g., by modifying
save
directives). Be aware that doing so may increase the risk of data loss in case of a crash.
Note that depending on your specific use case and needs, you may need to combine multiple approaches to resolve the issue effectively.
Was this content helpful?
Other Common Redis Errors (with Solutions)
- could not connect to redis at 127.0.0.1:6379: connection refused
- redis error server closed the connection
- redis.exceptions.responseerror: value is not an integer or out of range
- redis.exceptions.responseerror moved
- redis.exceptions.responseerror noauth authentication required
- redis-server failed to start advanced key-value store
- spring boot redis unable to connect to localhost 6379
- unable to configure redis to keyspace notifications
- redis.clients.jedis.exceptions.jedismoveddataexception
- could not get resource from pool redis
- failed to restart redis service unit redis service not found
- job for redis-server.service failed because a timeout was exceeded
Switch & save up to 80%
Dragonfly is fully compatible with the Redis ecosystem and requires no code changes to implement. Instantly experience up to a 25X boost in performance and 80% reduction in cost