Module functions

Modules

• aggr_over_time 🔒
• changes 🔒
  Implementation of changes in PromQL. Refer to the original implementation.
• deriv 🔒
  Implementation of deriv in PromQL. Refer to the original implementation.
• extrapolate_rate 🔒
  Implementations of rate, increase and delta functions in PromQL.
• holt_winters 🔒
  Implementation of holt_winters in PromQL. Refer to the original implementation.
• idelta 🔒
• predict_linear 🔒
  Implementation of predict_linear in PromQL. Refer to the original implementation.
• quantile 🔒
• resets 🔒
  Implementation of reset in PromQL. Refer to the original implementation.

Structs

• AbsentOverTime
  absent_over_time returns an empty vector if the range vector passed to it has any elements (floats or native histograms) and a 1-element vector with the value 1 if the range vector passed to it has no elements.
• AvgOverTime
  The average value of all points in the specified interval.
• Changes
  used to count the number of value changes that occur within a specific time range
• CountOverTime
  The count of all values in the specified interval.
• Deriv
• HoltWinters
  There are 3 variants of smoothing functions:
• IDelta
  The funcIdelta in Promql, from https://github.com/prometheus/prometheus/blob/6bdecf377cea8e856509914f35234e948c4fcb80/promql/functions.go#L235
• LastOverTime
  The most recent point value in specified interval.
• MaxOverTime
  The maximum value of all points in the specified interval.
• MinOverTime
  The minimum value of all points in the specified interval.
• PredictLinear
• PresentOverTime
  the value 1 for any series in the specified interval.
• QuantileOverTime
• Resets
  used to count the number of times the time series starts over.
• StddevOverTime
  the population standard deviation of the values in the specified interval. Prometheus’s implementation: https://github.com/prometheus/prometheus/blob/f55ab2217984770aa1eecd0f2d5f54580029b1c0/promql/functions.go#L556-L569
• StdvarOverTime
  the population standard variance of the values in the specified interval. DataFusion’s implementation: https://github.com/apache/arrow-datafusion/blob/292eb954fc0bad3a1febc597233ba26cb60bda3e/datafusion/physical-expr/src/aggregate/variance.rs#L224-#L241
• SumOverTime
  The sum of all values in the specified interval.

Functions

• compensated_sum_inc 🔒
  compensation(Kahan) summation algorithm - a technique for reducing the numerical error in floating-point arithmetic. The algorithm also includes the modification (“Neumaier improvement”) that reduces the numerical error further in cases where the numbers being summed have a large difference in magnitude Prometheus’s implementation: https://github.com/prometheus/prometheus/blob/f55ab2217984770aa1eecd0f2d5f54580029b1c0/promql/functions.go#L782
• extract_array 🔒
• linear_regression 🔒
  linear_regression performs a least-square linear regression analysis on the times and values. It return the slope and intercept based on times and values. Prometheus’s implementation: https://github.com/prometheus/prometheus/blob/90b2f7a540b8a70d8d81372e6692dcbb67ccbaaa/promql/functions.go#L793-L837

Type Aliases

• Delta
• Increase
• Rate