Question
I concern about the performance of stream sheets. For example, My plant has 300 standalone machines, each machine needs collection sensor data for (vibration/temperature/speed) of many motors and has 100 signals per machine. So if apply full plant, we have 300 x 100 = 300.000 signal/seconds.
My sheet simply just consumes from MQTT consumer and use Rest for storing in InfluxDB only.
So is streamsheets is suitable for this case?
Context
I look in deep repos and found that streamsheets is developed by Node.js. And Node.js only have 1 JS thread event-loop for handler code logic. So node.js JS thread event-loop will busy to process sheet-logic so for a same time have large signal can be slow?
We can accept for slow, but how can scale out?
Question
I concern about the performance of stream sheets. For example, My plant has 300 standalone machines, each machine needs collection sensor data for (vibration/temperature/speed) of many motors and has 100 signals per machine. So if apply full plant, we have 300 x 100 = 300.000 signal/seconds.
My sheet simply just consumes from MQTT consumer and use Rest for storing in InfluxDB only.
So is streamsheets is suitable for this case?
Context
I look in deep repos and found that streamsheets is developed by Node.js. And Node.js only have 1 JS thread event-loop for handler code logic. So node.js JS thread event-loop will busy to process sheet-logic so for a same time have large signal can be slow?
We can accept for slow, but how can scale out?