Time Series — NYXDB

36 Time Series functions in the NYXDB native function registry, with signatures, briefs, and measured medians where available.

36 functions in the time_series family. Each name links to its page; … marks the variadic argument list (the engine declares no named parameters). A Measured value appears only where a benchmark corpus case joins by name (server-class hardware, median).

Function	Type	Description	Measured
`delta_rate(…) → Float64`	stream	Rate of change over a stream.	—
`delta_sum(…) → Float64`	aggregate	Sum of positive deltas.	—
`delta_sum_timestamp(…) → Float64`	aggregate	Sum of positive deltas.	—
`exponential_moving_average(…) → Float64`	aggregate	Exponential moving average.	—
`group_array_moving_avg(…) → String`	aggregate	Moving average over grouped arrays.	—
`group_array_moving_sum(…) → String`	aggregate	Moving sum over grouped arrays.	—
`running_difference(…) → Float64`	scalar	Running difference.	—
`running_difference_starting_with_first_value(…) → Float64`	scalar	Running difference.	—
`sparkbar(…) → String`	aggregate	Render a sparkbar.	—
`time_series_changes_to_grid(…) → String`	aggregate	Resample time series to a regular grid (changes).	—
`time_series_copy_tag(…) → String`	scalar	Copy a time-series tag.	—
`time_series_copy_tags(…) → String`	scalar	Copy a time-series tag.	—
`time_series_delta_to_grid(…) → String`	aggregate	Resample time series to a regular grid (delta).	—
`time_series_deriv_to_grid(…) → String`	aggregate	Resample time series to a regular grid (deriv).	—
`time_series_extract_tag(…) → String`	scalar	Extract a tag value.	—
`time_series_group_array(…) → String`	aggregate	Collect time series samples.	—
`time_series_group_to_tags(…) → String`	scalar	Convert between tags, groups, and ids.	—
`time_series_id_to_group(…) → String`	scalar	Convert between tags, groups, and ids.	—
`time_series_id_to_tags(…) → String`	scalar	Convert between tags, groups, and ids.	—
`time_series_id_to_tags_group(…) → String`	scalar	Convert between tags, groups, and ids.	—
`time_series_instant_delta_to_grid(…) → String`	aggregate	Resample time series to a regular grid (instant delta).	—
`time_series_instant_rate_to_grid(…) → String`	aggregate	Resample time series to a regular grid (instant rate).	—
`time_series_join_tags(…) → String`	scalar	Join tags into a canonical key.	—
`time_series_last_to_grid(…) → String`	aggregate	Resample time series to a regular grid (last).	—
`time_series_last_two_samples(…) → String`	aggregate	Last two time series samples.	—
`time_series_predict_linear_to_grid(…) → String`	aggregate	Resample time series to a regular grid (predict linear).	—
`time_series_rate_to_grid(…) → String`	aggregate	Resample time series to a regular grid (rate).	—
`time_series_remove_all_tags_except(…) → String`	scalar	Keep only selected tags.	—
`time_series_remove_tag(…) → String`	scalar	Remove a tag.	—
`time_series_remove_tags(…) → String`	scalar	Remove multiple tags.	—
`time_series_replace_tag(…) → String`	scalar	Replace or upsert a tag.	—
`time_series_resample_to_grid_with_staleness(…) → String`	aggregate	Resample time series with staleness handling.	—
`time_series_resets_to_grid(…) → String`	aggregate	Resample time series to a regular grid (resets).	—
`time_series_store_tags(…) → UInt64`	scalar	Store tags and return an id.	—
`time_series_tags_group_to_tags(…) → String`	scalar	Convert between tags, groups, and ids.	—
`time_series_tags_to_group(…) → String`	scalar	Convert between tags, groups, and ids.	—