Option 1: Remove Missing Values - Analytics Database - Teradata Vantage

Time Series Tables and Operations

Deployment
VantageCloud
VantageCore
Edition
Enterprise
IntelliFlex
VMware
Product
Analytics Database
Teradata Vantage
Release Number
17.20
Published
June 2022
Language
English (United States)
Last Update
2023-10-30
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lifecycle
latest
Product Category
Teradata Vantageā„¢

You can use the DELETE statement to remove all rows with a missing value. The example shows this for the TEMPERATURE column in Table and Data Definition for Time Series Aggregates Examples.

DELETE FROM OCEAN_BUOYS WHERE TEMPERATURE IS NULL;

After removing the NULL rows, run your query; for example, run a query that performs an AVERAGE:

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 result in the first row.

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 2
('2014-01-06 08:10:00.000000+00:00', '2014-01-06 08:20:00.000000+00:00') 2 0 55 2