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Troubleshooting Memcached: Common Issues

1. Memcached Not Starting

This is a common issue where Memcached fails to start due to various reasons, including configuration errors or port clashes.

To troubleshoot this, check the following:

  • Ensure that the configuration file is correctly set up.
  • Check if the port is already in use by another service.

Example Command:

sudo service memcached start

If this command fails, review the logs for error messages.

2. Connection Refused Errors

These errors occur when clients try to connect to Memcached but cannot establish a connection. This can happen if Memcached is not running or if there are firewall rules blocking access.

To resolve this, try the following:

  • Check if Memcached is running using ps aux | grep memcached.
  • Inspect firewall settings to ensure that the Memcached port (default 11211) is open.

Example Output:

Connection to 127.0.0.1:11211 failed: Connection refused

3. Memory Limit Reached

If Memcached reaches its memory limit, it will start evicting items to make room for new data, which can lead to performance issues or cache misses.

To check the current memory usage, use:

echo stats | nc 127.0.0.1 11211

Adjust the memory limit by modifying the configuration file and restarting Memcached.

Example Configuration:

-m 512

This sets the memory limit to 512 MB.

4. Data Not Being Cached

If your application is not caching data as expected, there could be several reasons such as incorrect set commands or issues in your application logic.

Ensure that you are using the correct commands to store data:

Example Command:

set my_key 3600 0 5
value

This command sets the key my_key with a time-to-live of 3600 seconds. Check for any errors in your application code that might prevent data from being stored.

5. Slow Performance

If Memcached is running slowly, it could be due to high load, inadequate memory allocation, or network issues. Monitor performance using:

echo stats | nc 127.0.0.1 11211

Look for metrics such as cmd_get, cmd_set, and evictions. If evictions are high, consider increasing memory allocation.

Example Output:

STAT evictions 100

This indicates that 100 items have been evicted from the cache. Increasing memory can help reduce this.