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Question #55 Topic 1
You have a query that filters a BigQuery table using a WHERE clause on timestamp and ID columns. By using bq query `"-dry_run you learn that the query triggers a full scan of the table, even though the filter on timestamp and ID select a tiny fraction of the overall data. You want to reduce the amount of data scanned by BigQuery with minimal changes to existing SQL queries. What should you do?
A
Create a separate table for each ID.
B
Use the LIMIT keyword to reduce the number of rows returned.
C
Recreate the table with a partitioning column and clustering column.
D
Use the bq query --maximum_bytes_billed flag to restrict the number of bytes billed.