v1.3.2

Flattened users table
Created a unique primary key in the flat_pseudo_users and flat_users tables.

v1.3.1

Fixed the error when tables are not configured for flattening

v1.3.0

Added extra fields:
batch_event_index
batch_page_id
batch_ordering_id
session_traffic_source_last_click

Improved primary key

New feature: flatten pseudo users table

Added session id

Updated permissions docs

Solved issues:
#22
#5
#32

v.1.2.9

Updated permissions section in README

v1.2.8 - Bugfix

• Bugfix in intraday scheduler job

v1.2.7 - Backfilling steps documentation

Improved backfilling steps documentation to make it more clear

v1.2.6 - New log sink

Addressed the following:

• The main flattening Cloud Function (CF) was not responding to logs in some GCP projects. Issue #23
• Upgraded CF Python runtime to avoid 3.7 deprecation in Cloud Functions
• Fixed errors in config builder CF. Issue #24

v1.2.5 - Schema changes

Added new fields:
collected_traffic_source starting from 20230503
is_active_user starting from 20230717

v1.2.4 - Bugfix: handling datasets not configured for flattening

Info about the bug: when a dataset is not configured for flattening, the Cloud Function would throw some errors and crash instead of existing gracefully. The data or the behaviour of the flattener was not affected by the bug, it just resulted in some errors in logs and the Cloud Function crashing. The bug is fixed now.

v1.2.3 - backfill documentation and dependencies

Fixed dependencies required for backfill and improved backfill documentation.