InputTable Schema
| Column | Data Type | Description |
|---|---|---|
| id | Any | Time series identifier. |
| time_column | BYTEINT, SMALLINT, INTEGER, BIGINT, NUMERIC, or DOUBLE PRECISION | Time axis of data. Used for saxification. Corresponds to SAX input table time_column. |
| target_column | BYTEINT, SMALLINT, INTEGER, BIGINT, NUMERIC, or DOUBLE PRECISION | Time series data to cluster. Used for saxification. Corresponds to SAX input table target_column. |
Correct Input Time Series Data Format
If input time series data is incorrectly formatted, function behavior is undefined. In a correctly formatted time series, time intervals are evenly spaced and all time intervals have numeric values.
To calculate missing values in a time series, use the Interpolator function.
If the input table time column is text-based, create a new input table with an integer-based time column. For example, suppose that the table time_series_text_time has the text-based columns idval, timeval, valueval, and catval. This statement creates a table that the function accepts as input:
CREATE MULTISET TABLE time_series_numeric_time AS ( SELECT idval, RANK() OVER (PARTITION BY idval ORDER BY timeval) AS timeval, valueval, catval FROM time_series_text_time ) WITH DATA;