I’ve been working on improving the performance of my energy monitoring setup, and I wanted to share my experience in case it helps others facing similar challenges. My energy dashboard has become quite comprehensive over time, with sensors tracking everything from grid consumption to solar production. Here’s a quick breakdown of what I’ve got:
- Grid Consumption: 2 sensors
- Return to Grid: 2 sensors
- Solar Production: 4 sensors
- Gas Consumption: 1 sensor
- Water Consumption: 1 sensor
- Device Sensors: 9 sensors
While this level of detail is fantastic for monitoring, it does come with its challenges. Specifically, retrieving yearly statistics from the database was taking over 6 seconds, which was a bit slow for my liking. After some digging, I discovered that adding a specific index to the statistics table made a world of difference. The query time dropped to under a second!
Here’s the index I added:
sql
ix_statistics_metadata_id_start_ts_sum_mean
If you’re running into similar performance issues, I’d highly recommend checking your database queries and seeing if adding an index could help. It’s a small tweak that can make a big difference in how responsive your system feels.
I’d love to hear if anyone else has tips or tricks for optimizing energy monitoring setups. Let’s keep the conversation going! 