Schema overview:
performance, device=device1, source=source1, resultIndex=0 score=20 1465839830100400200
| ---------------------------------------------------------------------------------- |
| | | | |
| | | | |
+-----------+-+--------------------------------------------+-+-----+-+----------------+
|measurement |, tag_set |field_set| timestamp |
+-----------+-+--------------------------------------------+-+-----+-+----------------+
Sample data:
performance,device=device1, source=source1, resultIndex=0 score=20 1465839830100400200
performance,device=device1, source=source1, resultIndex=1 score=30 1465839830100400200
performance,device=device1, source=source2, resultIndex=0 score=50 1465839830100400200
performance,device=device1, source=source2, resultIndex=1 score=60 1465839830100400200
The measurement has multiple data points for the same timestamp
but the tagset values are unique, which means the data won’t get overwritten.
Question: How can I aggregate score
of all data points for a given timestamp and device? Do I still need to use GROUP BY
with a really small time interval, like 1ms. Or is there a more sophisticated way?