- Data Reference
- Code Reference
addons_daily table is a small and fast dataset with data on specific add-ons, and the users who have them installed. It contains one row per
Many questions about add-ons are of the form: "How many users have add-on A installed?" or "Are users with add-on Z more active than users with add-on Y?" This dataset is aimed at answering these type of questions without having to do cumbersome joins or filters.
This dataset also has detailed search aggregates by each add-on, broken out by our major search engines (
other), along with total aggregates (
total). This allows us to identify strange search patterns for add-ons who change a user's search settings on their behalf, often siphoning away SAP searches and Mozilla revenue (see the second example query below).
addons_daily table is accessible through re:dash using the
Telemetry (BigQuery) data source.
Here's an example query.
SELECT submission_date, dau, wau, mau FROM `moz-fx-data-shared-prod.telemetry.addons_daily` WHERE submission_date >= DATE_SUB(CURRENT_DATE, INTERVAL 28 DAY) AND addon_id = 'uBlock0@raymondhill.net'
SELECT addon_id, ANY_VALUE(name) as name, AVG(dau) as avg_dau, SAFE_DIVIDE(SUM(organic_searches.total), SUM(sap_searches.total)) as organic_sap_ratio FROM telemetry.addons_daily WHERE submission_date >= DATE_SUB(CURRENT_DATE, INTERVAL 7 DAY) AND is_system = false GROUP BY 1 HAVING avg(dau) > 1000 ORDER BY 4 DESC
The data is partitioned by
As of 2020-04-17, the current version of the
addons_daily dataset is
This dataset is generated by
Refer to this repository for information on how to run or augment the dataset.