The multi-period estimation function can estimate time series in different time periods and perform a series of operations, such as Fourier transform, to extract period data.

ts_period_detect

The function estimates time series data on a period basis.

Function format: 
select ts_period_detect(x, y,minPeriod,maxPeriod,samplePeriod,sampleMethod)
The following table describes the parameters.
Parameter Description Value
x Time column in ascending order Unixtime timestamp in seconds
y Numeric column corresponding to the data at a specified time point -
minPeriod Ratio of the minimum length of the pre-estimation period to the total length of the time series Value range: (0, 1]
maxPeriod Ratio of the maximum length of the pre-estimation period to the total length of the time series
Note The value of maxPeriod must be greater than that of minPeriod.
Value range: (0, 1]
samplePeriod Period during which the current time series data is sampled Long type values ranging from 1 to 86399 seconds
sampleMethod Method for sampling the data in the sampling window Value range:
  • avg: average value of the data in the window
  • max: maximum value of the data in the window
  • min: minimum value of the data in the window
  • sum: sum of the data in the window
Example:

  • Statement for query and analysis:

    * | select ts_period_detect(stamp, value, 0.2, 1.0, 1, 'avg') from ( select __time__ - __time__ % 120 as stamp, avg(v) as value from log GROUP BY stamp order by stamp )

  • Result:



The following table describes the display items.
Display item Description
period_id Array composed of period IDs with an array length of 1. The value 0.0 indicates the original series.
time_series Timestamp sequence
data_series Result for each timestamp
  • It indicates the original sequence when period_id is 0.0.
  • It indicates the period estimation result after filtering when period_id is not 0.0.