bigquery-etl/bigquery_etl/glam/templates
Linh Nguyen d82acc1856
Simplify GLAM template for getting the latest version (#3933)
* Simplify GLAM template for getting the latest version

* Add comment about using buildhub2 data for Fenix
2023-06-14 20:03:01 +00:00
..
logical_app_id Change `bqetl format` to uppercase built-in function names (#3536) 2023-01-26 16:07:10 -08:00
clients_daily_histogram_aggregates_v1.sql GLAM ETL: filter out unofficial desktop builds in FOG pipeline (#2957) 2022-05-11 00:33:35 +02:00
clients_daily_scalar_aggregates_v1.sql GLAM ETL: filter out unofficial desktop builds in FOG pipeline (#2957) 2022-05-11 00:33:35 +02:00
clients_histogram_aggregates_v1.init.sql Fix #1457 - Generate and run Fenix ETL for GLAM in glam-fenix-dev (#1458) 2020-10-22 11:40:52 -07:00
clients_histogram_aggregates_v1.sql Bug 1783427 - GLAM ETL: filter out negative values in aggregate queries 2022-08-10 16:17:28 +02:00
clients_histogram_aggregates_v1.udf.sql Fix #1457 - Generate and run Fenix ETL for GLAM in glam-fenix-dev (#1458) 2020-10-22 11:40:52 -07:00
clients_scalar_aggregates_v1.init.sql Bug 1772532 - Increase clients_scalar_aggregates_v1 partitioning range (#3025) 2022-06-13 16:39:50 +02:00
clients_scalar_aggregates_v1.sql Bug 1783427 - GLAM ETL: filter out negative values in aggregate queries 2022-08-10 16:17:28 +02:00
clients_scalar_aggregates_v1.udf.sql [glam-etl] Use static combinations and avoid double counting (#1002) 2020-05-28 11:53:03 -07:00
extract_probe_counts_v1.sql adjusting the fenix counts (#2837) 2022-03-29 16:20:45 -04:00
extract_user_counts_v1.sql Update glam fenix etl with updated scalar bucketing (#1493) 2020-11-03 16:07:00 -08:00
histogram_bucket_counts_v1.sql add minimum client count for fenix (#2642) 2022-01-12 11:49:59 -05:00
histogram_percentiles_v1.sql added 0.1 and 1 percentiles for both desktop and fenix data (#2723) 2022-02-16 14:31:02 -05:00
latest_versions_v1.sql Simplify GLAM template for getting the latest version (#3933) 2023-06-14 20:03:01 +00:00
macros.sql [glam-etl] Use static combinations and avoid double counting (#1002) 2020-05-28 11:53:03 -07:00
probe_counts_v1.sql Change `bqetl format` to improve readability of `CASE` statements (#3546) 2023-02-03 14:35:59 -08:00
scalar_bucket_counts_v1.sql Bug 1772532 - Use HLL for user counts in GLAM scalar_bucker_counts_v1 2022-06-21 08:13:18 +02:00
scalar_bucket_counts_v1.udf.sql Change `bqetl format` to improve readability of `CASE` statements (#3546) 2023-02-03 14:35:59 -08:00
scalar_percentiles_v1.sql Use approximate client count in GLAM scalar_percentiles_v1 (#3039) 2022-06-21 10:55:08 -04:00
view_clients_daily_histogram_aggregates_v1.sql Fix #1457 - Generate and run Fenix ETL for GLAM in glam-fenix-dev (#1458) 2020-10-22 11:40:52 -07:00
view_clients_daily_scalar_aggregates_v1.sql Fix #1457 - Generate and run Fenix ETL for GLAM in glam-fenix-dev (#1458) 2020-10-22 11:40:52 -07:00
view_probe_counts_v1.sql Fix #1457 - Generate and run Fenix ETL for GLAM in glam-fenix-dev (#1458) 2020-10-22 11:40:52 -07:00
view_sample_counts_v1.sql adjusting the fenix counts (#2837) 2022-03-29 16:20:45 -04:00
view_user_counts_v1.sql Fix #1457 - Generate and run Fenix ETL for GLAM in glam-fenix-dev (#1458) 2020-10-22 11:40:52 -07:00