The following example shows how to use RANK(ANSI) to rank the averages of particular timebuckets across an entire time series.
The examples use the tables and data setup in Table and Data Definition for Time Series Aggregates Examples.
Perform the AVG before using RANK(ANSI). The AVG function can be used with both Primary Time Index (PTI) and non-PTI tables. The following examples get the averages from the time series data.
/*PTI Table*/ SELECT $TD_TIMECODE_RANGE, $TD_GROUP_BY_TIME, BUOYID, AVG(TEMPERATURE) 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 1,2,3; /*Non-PTI Table*/ SELECT $TD_TIMECODE_RANGE, $TD_GROUP_BY_TIME, BUOYID, AVG(TEMPERATURE) FROM OCEAN_BUOYS_NONPTI WHERE TIMECODE BETWEEN TIMESTAMP '2014-01-06 08:00:00' AND TIMESTAMP '2014-01-06 10:30:00' GROUP BY TIME (MINUTES(10) AND BUOYID) USING TIMECODE(TIMECODE) ORDER BY 1,2,3;
Result:
The results of both queries are identical so only one result set is shown.
TIMECODE_RANGE | GROUP BY TIME (MINUTES(10)) | BUOYID | AVG (TEMPERATURE) |
---|---|---|---|
('2014-01-06 08:00:00.000000+00:00', '2014-01-06 08:10:00.000000+00:00') | 1 | 0 | 54 |
('2014-01-06 08:10:00.000000+00:00', '2014-01-06 08:20:00.000000+00:00') | 2 | 0 | 55 |
('2014-01-06 09:00:00.000000+00:00', '2014-01-06 09:10:00.000000+00:00' | 7 | 1 | 74 |
('2014-01-06 10:00:00.000000+00:00', '2014-01-06 10:10:00.000000+00:00') | 13 | 14 | 50 |
('2014-01-06 10:10:00.000000+00:00', '2014-01-06 10:20:00.000000+00:00') | 14 | 14 | 43 |
Use RANK(ANSI) to rank the averages for each individual time series:
/*PTI Table*/ SEL TIMECODE_RANGE, TBN, BUOYID, AVG_TEMPERATURE, RANK() OVER (PARTITION BY BUOYID ORDER BY AVG_TEMPERATURE) FROM ( SELECT $TD_TIMECODE_RANGE as TIMECODE_RANGE, $TD_GROUP_BY_TIME as TBN, BUOYID, AVG(TEMPERATURE) AS AVG_TEMPERATURE FROM OCEAN_BUOYS WHERE TD_TIMECODE BETWEEN TIMESTAMP '2014-01-06 08:00:00' AND TIMESTAMP '2014-01-06 10:30:00' GROUP BY TIME (MINUTES(10) AND BUOYID) ) AS NESTED_AVG_TABLE ORDER BY 3,5; /*Non-PTI Table*/ SEL TIMECODE_RANGE, TBN, BUOYID, AVG_TEMPERATURE, RANK() OVER (PARTITION BY BUOYID ORDER BY AVG_TEMPERATURE) FROM ( SELECT $TD_TIMECODE_RANGE as TIMECODE_RANGE, $TD_GROUP_BY_TIME as TBN, BUOYID, AVG(TEMPERATURE) AS AVG_TEMPERATURE FROM OCEAN_BUOYS_NONPTI WHERE TIMECODE BETWEEN TIMESTAMP '2014-01-06 08:00:00' AND TIMESTAMP '2014-01-06 10:30:00' GROUP BY TIME (MINUTES(10) AND BUOYID) USING TIMECODE(TIMECODE) ) AS NESTED_AVG_TABLE ORDER BY 3,5;
Result:
The results of both queries are identical so only one result set is shown.
TIMECODE_RANGE | TBN | BUOYID | AVG (TEMPERATURE) | RANK |
---|---|---|---|---|
('2014-01-06 08:00:00.000000+00:00', '2014-01-06 08:10:00.000000+00:00') | 1 | 0 | 54 | 1 |
('2014-01-06 08:10:00.000000+00:00', '2014-01-06 08:20:00.000000+00:00') | 2 | 0 | 55 | 2 |
('2014-01-06 09:00:00.000000+00:00', '2014-01-06 09:10:00.000000+00:00') | 7 | 1 | 74 | 1 |
('2014-01-06 10:10:00.000000+00:00', '2014-01-06 10:20:00.000000+00:00') | 13 | 44 | 43 | 1 |
('2014-01-06 10:00:00.000000+00:00', '2014-01-06 10:10:00.000000+00:00') | 13 | 44 | 50 | 2 |