Saturday, 17 May 2025

Estimating BigQuery Data Processed Before Running a Query

In Google BigQuery, SQL is used to interact with datasets and retrieve data. One of the most basic and commonly used SQL statements is:

SELECT * FROM `project.dataset.table`;

This statement retrieves all columns and all rows from a specified table in BigQuery.

 

·      SELECT * : This means "select all columns" from the table.

·      FROM : This specifies the source table from which data will be retrieved.

·      `project.dataset.table`: This refers to the fully qualified table name in BigQuery. It consists of:

o   project: The Google Cloud project containing the dataset.

o   dataset: A collection of related tables within the project.

o   table: The actual table storing the data.

 

Imagine you have a table named sales_data inside a dataset called store_db in a project named retail_project. To fetch all data from this table, you would use:

SELECT * FROM `retail_project.store_db.sales_data`;

For example, when I enter the query:

SELECT * FROM `i-mariner-453509-e9.test_dataset.emps` LIMIT 2;

Before execution, the BigQuery Query Editor provides an estimate of the amount of data the query will process. For instance, it might display a message like:

 

"This query will process 573 B when run."

 

You can find this estimate in the top right corner of the query editor.

 


You can also format the query for better readability by selecting MORE Format Query in the BigQuery Query Editor.



 

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