问题
In order to write sensor data from an IoT device to a SQL database in the cloud I use an Azure Streaming Analytics job. The SA job has an IoT Hub input and a SQL database output. The query is trivial; it just sends all data through). According to the MS price calculator, the cheapest way of accomplishing this (in western Europe) is around 75 euros per month (see screenshot).
Actually, only 1 message per minute is send through the hub and the price is fixed per month (regardless of the amount of messages). I am surprised by the price for such a trivial task on small data. Would there be a cheaper alternative for such low capacity needs? Perhaps an Azure function?
回答1:
If you are not processing the data real-time then SA is not needed, you could just use an Event Hub to ingest your sensor data and forward it on. There are several options to move data from the Event Hub to SQL. As you mentioned in your question, you could use an Azure Function or if you want a no-code solution, you could us a Logic App.
https://docs.microsoft.com/en-us/azure/connectors/connectors-create-api-azure-event-hubs
https://docs.microsoft.com/en-us/azure/connectors/connectors-create-api-sqlazure
回答2:
In addition to Ken's answer, the "cold path" can be your solution, when the telemetry data are stored in the blob storage by Azure IoT Hub every 720 seconds (such as a maximum batch frequency).
Using the Azure Event Grid on the blob storage, it will trigger an EventGridTrigger subscriber when we can handle starting a streaming process for this batch (or for a group of batches within an one hour). After this batch process is done, the ASA job can be stopped. Note, that the ASA job is billed based on the active processing time (that's the time between the Start/Stop) which your cost using an ASA job can be significantly dropped down.
来源：https://stackoverflow.com/questions/55062045/azure-stream-analytics-job-expensive-for-small-data