I have wired up a Stream Analytics job to take data from an IoT Hub and write it to Azure SQL Database.
I am running into an issue with one input field which is a date/time object '2019-07-29T01:29:27.6246594Z' which always seems to result in an OutputDataConversionError.TypeConversionError -
[11:59:20 AM] Source 'eventssqldb' had 1 occurrences of kind 'OutputDataConversionError.TypeConversionError' between processing times '2019-07-29T01:59:20.7382451Z' and '2019-07-29T01:59:20.7382451Z'.
Input data sample (sourceeventtime is the problem - other datetime fields also fail).
{
"eventtype":"gamedata",
"scoretier":4,
"aistate":"on",
"sourceeventtime":"2019-07-28T23:59:24.6826565Z",
"EventProcessedUtcTime":"2019-07-29T00:13:03.4006256Z",
"PartitionId":1,
"EventEnqueuedUtcTime":"2019-07-28T23:59:25.7940000Z",
"IoTHub":{"MessageId":null,"CorrelationId":null,"ConnectionDeviceId":"testdevice","ConnectionDeviceGenerationId":"636996260331615896","EnqueuedTime":"2019-07-28T23:59:25.7670000Z","StreamId":null}
}
The target field in Azure SQL DB is datetime2 and the incoming value can be converted successfully by Azure SQL DB using a query on the same server.
I've tried a bunch of different techniques including CAST on Stream Analytics, and changing the compatibility level of the Stream Analytics job all to no avail.
Testing the query using a dump of the data in Stream Analytics results in no errors either.
I have the same data writing to Table Storage fine, but need to change to Azure SQL DB to enable shorter automated Power BI refresh cycles.
I have tried multiple Stream Analytics jobs and can recreate each time with Azure SQL DB.