Release notes

This is a high level list of the most notable changes. For more details, see the Changelog.

0.9.6

Summary

• Distributed data overlap

• Distributed data rollover

• Context manager to unlock experimental features

• Query filter on hierarchy members

• Dense date shift

New features

Distributed data overlap

allow_data_duplication makes it possible to have several data cubes with duplicated data.

Distributed data rollover

unload_members_from_data_cube(), paired with the data overlap feature, can be used to move data from one cube to another seamlessly (without downtime).

Context manager to unlock experimental features

experimental() provides granular selection of allowed experimental features.

Improvements

Query filter on hierarchy members

Previously, hierarchy conditions passed to atoti.Cube.query()’s filter parameter only accepted member paths. This release allows passing hierarchy conditions on members too.

Dense date shift

date_shift() has a new dense parameter to get values even when the input measure has no contribution on the original date.