Search Clients Engines Sources Daily


search_clients_engines_sources_daily is designed to enable client-level search analyses. Querying this dataset can be slow; consider using search_aggregates for coarse analyses.


search_clients_engines_sources_daily has one row for each unique combination of: (client_id, submission_date, engine, source).

In addition to the standard search count aggregations, this dataset includes some descriptive data for each client. For example, we include country and channel for each row of data. In the event that a client sends multiple pings on a given submission_date we choose an arbitrary value from the pings for that (client_id, submission_date), unless otherwise noted.

There are multiple standard search count aggregation columns: sap, tagged-sap, tagged-follow-on, organic, unknown, ad_click, ad_click_organic, search_with_ads, and search_with_ads_organic with varying dates the metrics became available. Note that, if there were no such searches in a row's segment (i.e. the count would be 0), the column value is null. Each of these columns represent different types of searches. For more details, see the search data documentation

Background and Caveats

search_clients_engines_sources_daily does not include (client_id submission_date) pairs if we did not receive a ping for that submission_date.

We impute a NULL engine and source for pings with no search counts. This ensures users who never search are included in this dataset.

This dataset is large. If you're querying this dataset from STMO, heavily limit the data you read using submission_date or sample_id.

Data Reference

Example Queries

STMO#51141 calculates searches per normalized_channel for US clients on an arbitrary day. If you have trouble viewing this query, it's likely you don't have the proper permissions. For more details see the search data documentation.


This dataset is scheduled on Airflow (source).


As of 2019-11-27, the current version of the underlying search_clients_daily is v8, and has a schema as follows. It's backfilled through 2016-03-12

 |-- client_id: string (nullable = true)
 |-- submission_date: date (nullable = true)
 |-- submission_date_s3: date (nullable = true)
 |-- engine: string (nullable = true)
 |-- source: string (nullable = true)
 |-- country: string (nullable = true)
 |-- app_version: string (nullable = true)
 |-- distribution_id: string (nullable = true)
 |-- locale: string (nullable = true)
 |-- search_cohort: string (nullable = true)
 |-- addon_version: string (nullable = true)
 |-- os: string (nullable = true)
 |-- os_version: string (nullable = true)
 |-- channel: string (nullable = true)
 |-- profile_creation_date: long (nullable = true)
 |-- default_search_engine: string (nullable = true)
 |-- default_search_engine_data_load_path: string (nullable = true)
 |-- default_search_engine_data_submission_url: string (nullable = true)
 |-- default_private_search_engine: string (nullable = true)
 |-- default_private_search_engine_data_load_path: string (nullable = true)
 |-- default_private_search_engine_data_submission_url: string (nullable = true)
 |-- sample_id: long (nullable = true)
 |-- sessions_started_on_this_day: long (nullable = true)
 |-- profile_age_in_days: integer (nullable = true)
 |-- subsession_hours_sum: double (nullable = true)
 |-- active_addons_count_mean: double (nullable = true)
 |-- max_concurrent_tab_count_max: integer (nullable = true)
 |-- tab_open_event_count_sum: long (nullable = true)
 |-- active_hours_sum: double (nullable = true)
 |-- total_uri_count: long (nullable = true)
 |-- tagged_sap: long (nullable = true)
 |-- tagged_follow_on: long (nullable = true)
 |-- sap: long (nullable = true)
 |-- tagged_sap: long (nullable = true)
 |-- tagged_follow_on: long (nullable = true)
 |-- organic: long (nullable = true)
 |-- search_with_ads: long (nullable = true)
 |-- ad_click: long (nullable = true)
 |-- unknown: long (nullable = true)
 |-- normalized_engine: string (nullable = true)
 |-- user_pref_browser_search_region: string (nullable = true)
 |-- is_default_browser: boolean (nullable = true)
 |-- experiments: map (nullable = true)
 |    |-- key: string
 |    |-- value: string

Code Reference

The search_clients_engines_sources_daily job is defined in bigquery-etl