When a missing value is present within a timebucket (for example, the NULL value inserted in the TEMPERATURE column in Table and Data Definition for Time Series Aggregates Examples), the value is ignored and it is not included in the calculation of the aggregate result. This is consistent with the behavior of existing aggregate functions in Vantage.
The example shows the result of an AVERAGE with NULL values:
SELECT $TD_TIMECODE_RANGE, $TD_GROUP_BY_TIME, BUOYID, AVG(TEMPERATURE), COUNT(*) FROM OCEAN_BUOYS WHERE TD_TIMECODE BETWEEN TIMESTAMP '2014-01-06 08:00:00' AND TIMESTAMP '2014-01-06 10:30:00' AND BUOYID = 0 GROUP BY TIME (MINUTES(10) AND BUOYID) ORDER BY 2,3;
Result:
TIMECODE_RANGE | GROUP BY TIME(MINUTES(10)) | BUOYID | Average(TEMPERATURE) | COUNT(*) |
---|---|---|---|---|
('2014-01-06 08:00:00.000000+00:00', '2014-01-06 08:10:00.000000+00:00') | 1 | 0 | 54 | 3 |
('2014-01-06 08:10:00.000000+00:00', '2014-01-06 08:20:00.000000+00:00') | 2 | 0 | 55 | 2 |
The null value was omitted from the result calculation.
If this behavior is not desired there are strategies to clean the series data so the missing values are removed or updated with a value. For more information on these strategies, see: