Use the FILL clause to replace missing values with a constant value for timebuckets with missing values. The data type of the constant must be compatible with the data type of the data being aggregated.
Example: Invalid Case: Fill with an Incompatible Constant Value
In the example the data type of the constant is incompatible with the data type of the data being aggregated, in this case TEMPERATURE:
SELECT $TD_TIMECODE_RANGE, $TD_GROUP_BY_TIME, BUOYID, AVG(TEMPERATURE) FROM OCEAN_BUOYS WHERE TD_TIMECODE BETWEEN TIMESTAMP '2014-01-06 09:45:00' AND TIMESTAMP '2014-01-06 11:45:00' AND BUOYID=44 GROUP BY TIME (MINUTES(15) AND BUOYID) FILL('a') ORDER BY 2,3; *** Failure 3706 Data type specified in FILL clause is incompatible with input data types to some aggregate functions.
Example: Fill with a Constant Value
The example shows a query when the FILL clause is used with a constant value with a compatible data type:
SELECT $TD_TIMECODE_RANGE, $TD_GROUP_BY_TIME, BUOYID, AVG(TEMPERATURE) FROM OCEAN_BUOYS WHERE TD_TIMECODE BETWEEN TIMESTAMP '2014-01-06 09:45:00' AND TIMESTAMP '2014-01-06 11:45:00' AND BUOYID=44 GROUP BY TIME (MINUTES(15) AND BUOYID) FILL(45) ORDER BY 2,3;
Result: The timebuckets with no value are included in the result set with the specified constant value returned in place of the missing values.
TIMECODE_RANGE | GROUP BY TIME(MINUTES(15)) | BUOYID | AVG(TEMPERATURE) |
---|---|---|---|
('2014-01-06 09:45:00.000000+00:00', '2014-01-06 10:00:00.000000+00:00') | 1 | 44 | 45 |
('2014-01-06 10:00:00.000000+00:00', '2014-01-06 10:15:00.000000+00:00') | 2 | 44 | 49 |
('2014-01-06 10:15:00.000000+00:00', '2014-01-06 10:30:00.000000+00:00') | 3 | 44 | 45 |
('2014-01-06 10:30:00.000000+00:00', '2014-01-06 10:45:00.000000+00:00') | 4 | 44 | 43 |
('2014-01-06 10:45:00.000000+00:00', '2014-01-06 11:00:00.000000+00:00') | 5 | 44 | 43 |
('2014-01-06 11:00:00.000000+00:00', '2014-01-06 11:15:00.000000+00:00') | 6 | 44 | 45 |
('2014-01-06 11:15:00.000000+00:00', '2014-01-06 11:30:00.000000+00:00') | 7 | 44 | 45 |
('2014-01-06 11:30:00.000000+00:00', '2014-01-06 11:45:00.000000+00:00') | 8 | 44 | 45 |