refresh_continuous_aggregate()

URL: llms-txt#refresh_continuous_aggregate()

Contents:

• Samples
• Required arguments
• Optional arguments

Refresh all buckets of a continuous aggregate in the refresh window given by window_start and window_end.

A continuous aggregate materializes aggregates in time buckets. For example, min, max, average over 1 day worth of data, and is determined by the time_bucket interval. Therefore, when refreshing the continuous aggregate, only buckets that completely fit within the refresh window are refreshed. In other words, it is not possible to compute the aggregate over, for an incomplete bucket. Therefore, any buckets that do not fit within the given refresh window are excluded.

The function expects the window parameter values to have a time type that is compatible with the continuous aggregate's time bucket expression—for example, if the time bucket is specified in TIMESTAMP WITH TIME ZONE, then the start and end time should be a date or timestamp type. Note that a continuous aggregate using the TIMESTAMP WITH TIME ZONE type aligns with the UTC time zone, so, if window_start and window_end is specified in the local time zone, any time zone shift relative UTC needs to be accounted for when refreshing to align with bucket boundaries.

To improve performance for continuous aggregate refresh, see [CREATE MATERIALIZED VIEW ][create_materialized_view].

Refresh the continuous aggregate conditions between 2020-01-01 and 2020-02-01 exclusive.

Alternatively, incrementally refresh the continuous aggregate conditions between 2020-01-01 and 2020-02-01 exclusive, working in 12h intervals:

Force the conditions continuous aggregate to refresh between 2020-01-01 and 2020-02-01 exclusive, even if the data has already been refreshed.