Which methods can be used to reduce the number of rows processed by BigQuery?

The correct answer is A. Splitting tables into multiple tables; putting data in partitions. Explanation/Reference: If you split a table into multiple tables (such as one table for each day), then you can limit your query to the data in specific tables (such as for particular days). A better method is to use a partitioned table, as long as your data can be separated by t

Submitted by kevin_r· Mar 30, 2026Designing data processing systems

Question

Which methods can be used to reduce the number of rows processed by BigQuery?

Options

ASplitting tables into multiple tables; putting data in partitions
BSplitting tables into multiple tables; putting data in partitions; using the LIMIT clause
CPutting data in partitions; using the LIMIT clause
DSplitting tables into multiple tables; using the LIMIT clause

How the community answered

(26 responses)

A
88% (23)
B
4% (1)
D
8% (2)

Explanation

Explanation/Reference: If you split a table into multiple tables (such as one table for each day), then you can limit your query to the data in specific tables (such as for particular days). A better method is to use a partitioned table, as long as your data can be separated by the day. If you use the LIMIT clause, BigQuery will still process the entire

Topics

#query optimization#table partitioning#row reduction#cost optimization

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