You can use the UPDATE statement to update all rows with a missing value to a constant value. The example shows this for the TEMPERATURE column in Table and Data Definition for Time Series Aggregates Examples.
In the example, all null values are set to have a value of 50:
UPDATE OCEAN_BUOYS SET TEMPERATURE=50 WHERE TEMPERATURE IS NULL;
The example shows a query that performs an AVERAGE after setting the null values to a constant:
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: Note the Average in the first row has been affected.
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 | 53 | 3 |
('2014-01-06 08:10:00.000000+00:00', '2014-01-06 08:20:00.000000+00:00') | 2 | 0 | 55 | 2 |