You can use table unions, as explained on this page under the FROM heading:
https://cloud.google.com/bigquery/query-reference#from
To quote that page:
===========
Note: Unlike many other SQL-based systems, BigQuery uses the comma syntax to indicate table unions, not joins. This means you can run a query over several tables with compatible schemas as follows:
// Find suspicious activity over several days
SELECT FORMAT_UTC_USEC(event.timestamp_in_usec) AS time, request_url
FROM [applogs.events_20120501], [applogs.events_20120502], [applogs.events_20120503]
WHERE event.username = 'root' AND NOT event.source_ip.is_internal;
Queries that perform a union over large number of tables can expect to run more slowly than the same query over a single table with the same amount of data. The difference in performance can be up to 50 ms per additional table. The maximum number of tables you can perform a union on is 1,000.
===========
Hope this helps.
Nick
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