timeSeriesResampleToGridWithStaleness

Aggregate function that takes time series data as pairs of timestamps and values and re-samples this data to a regular time grid described by start timestamp, end timestamp and step. For each point on the grid the most recent (within the specified time window) sample is chosen.

Parameters:

• start timestamp - specifies start of the grid
• end timestamp - specifies end of the grid
• grid step - specifies step of the grid in seconds
• staleness window - specified the maximum "staleness" of the most recent sample in seconds

Arguments:

• timestamp - timestamp of the sample
• value - value of the time series corresponding to the timestamp

Return value: time series values re-sampled to the specified grid as an Array(Nullable(Float64)). The returned array contains one value for each time grid point. The value is NULL if there is no sample for a particular grid point.

Example: The following query re-samples time series data to the grid [90, 105, 120, 135, 150, 165, 180, 195, 210] by choosing the value no older than 30 sec for each point on the grid:

Response:

Also it is possible to pass multiple samples of timestamps and values as Arrays of equal size. The same query with array arguments:

注記

This function is experimental, enable it by setting allow_experimental_ts_to_grid_aggregate_function=true.