timescale/timescaledb-toolkit 1.0.0

on GitHub

This release renames the extension to TimescaleDB Toolkit, starts stabilizing functionality, and includes internal improvements, and new experimental features.

Stabilizes:

• Percentile-approximation algorithms including percentile_agg(), uddsketch() and tdigest() along with their associated functions. These are especially useful for computing percentiles in continuous aggregates.
• Time-weighted average along with it's associated functions. This eases taking the average over an irregularly spaced dataset that only includes changepoints

New Experimental Features:

• stats_agg() eases the analysis of more sophisticated bucketed statistics, such as rolling averages. (Docs are forthcoming, until then fell free to peruse the design discussion doc.
• timeseries which will serve as a building block for many pipelines, and unifies the output of lttb and ASAP.

Internal Improvements

• uddsketch's on-disk layout has be reworked to store buckets compressed. This can result in an orders-of-magnitude reduction in it's storage requirements.
• uddsketch's textual format has been reworked to be more readable.
• functions that take in a uddsketch or t-digest have been reworked to be 0-copy when applicable, improving the performance of such functions by 10-100x.