The issue you're experiencing with Laravel Horizon consuming more memory compared to a basic Supervisor setup can be attributed to several factors. Here are some steps and considerations to help you diagnose and potentially resolve the issue:
1. Memory Limit Configuration
Ensure that the memory limits are correctly set in your Horizon configuration. You have set 'memory' => 128 in your Horizon config, but you also have a global 'memory_limit' => 64. This could be causing some confusion or conflicts.
2. Process Count and Auto-Scaling
Horizon has an auto-scaling feature that can dynamically adjust the number of worker processes based on the workload. This can sometimes lead to higher memory usage if not properly configured. You might want to disable auto-scaling and manually set the number of processes to see if it stabilizes memory usage.
3. Comparing Configurations
Your Supervisor configuration has numprocs=2 for laravel-sync and numprocs=1 for laravel-worker, which means you have a total of 3 worker processes. In Horizon, you have maxProcesses => 1, which might not be directly comparable. Try to align the number of processes in both configurations for a fair comparison.
4. Horizon's Additional Overhead
Horizon provides a lot of additional features like dashboards, metrics, and auto-scaling, which can add some overhead. If these features are not critical for your use case, you might consider sticking with Supervisor.
5. Optimize Worker Code
Ensure that your worker code is optimized and not holding onto memory unnecessarily. This includes releasing resources, avoiding memory leaks, and using efficient data structures.
Example Adjusted Configuration
Here is an example of how you might adjust your Horizon configuration to better match your Supervisor setup:
// config/horizon.php
'defaults' => [
'supervisor-1' => [
'connection' => 'redis',
'queue' => ['high', 'default'],
'balance' => 'simple', // Consider using 'simple' instead of 'auto'
'autoScalingStrategy' => 'time',
'maxProcesses' => 3, // Match the total number of processes in Supervisor
'minProcesses' => 3, // Ensure a fixed number of processes
'maxTime' => 300,
'maxJobs' => 100,
'memory' => 128,
'tries' => 1,
'timeout' => 60,
'nice' => 0,
],
],
Monitoring and Logging
Enable detailed logging and monitoring to understand where the memory is being consumed. Horizon provides metrics that can help you identify memory usage patterns.
Conclusion
By aligning the number of processes and carefully configuring memory limits, you should be able to achieve more stable memory usage with Horizon. If Horizon's additional features are not necessary, sticking with Supervisor might be a more resource-efficient choice.
If the problem persists, consider profiling your application to identify any memory leaks or inefficiencies in your job processing code.
