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- Documentation
Torch Log ServiceUser GuideQuery and analysisMachine learning functionAnomaly comparison function
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Anomaly comparison function
Copy pageDownload PDFAnomaly comparison function
This topic describes the syntax of anomaly comparison functions supported by TLS and provides usage examples for common scenarios.
Notice
Currently, machine learning functions are in public beta.
anomaly_compare
The anomaly_compare function compares the degree of difference for a target observation object between two time periods.
Function syntax
- Syntax format
- anomaly_compare(stamp, array[ feature_1, feature_2 ], array[ feature1_name, feature2_name ], timepoint, interval)
- Parameters description
- ParametersData typeDescriptionParametersData typeDescriptionstampStringThe column name of the time column. The format is Unixtime timestamp; measured in seconds.array[features]ArrayFeature data of the observed object at a specific time.array[featureNames]ArrayDescription of the feature data.timepointBigintThe time when the observed object changes. The format is UnixTime timestamp.intervalBigintThe interval for collecting data. For example: if data is collected every 10 seconds, the interval is 10.
- Return values
- If the input value is NULL, the function returns NULL.
Function examples
- Query statements
- *| SELECT anomaly_compare(stamp,array[ReqSize,RespSize],array['ReqSize','RespSize'],1702236290,1) FROM (SELECT stamp,ReqSize,RespSize FROM (SELECT CAST(stamp as BIGINT) AS stamp,ReqSize, RespSize order by stamp limit 1000))
- Query and analysis results
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Last updated: 2026.05.08 10:10:41
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