Option 2: Replace Missing Values with a Constant Value - 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 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