google-big-queryHow can I use regular expressions in Google Big Query?
Regular expressions can be used in Google Big Query to search for specific patterns in data. For example, the following code block can be used to search for a pattern of the form [A-Z]{2}[0-9]{3} in a table called my_table.
SELECT * FROM my_table
WHERE REGEXP_CONTAINS(my_column, r'[A-Z]{2}[0-9]{3}')
The code block will return all records from the table where the value in the my_column column matches the regular expression pattern.
The parts of the code are as follows:
SELECT * FROM my_table: This statement selects all columns and records from themy_tabletable.WHERE REGEXP_CONTAINS(my_column, r'[A-Z]{2}[0-9]{3}'): This statement filters the results to only include records where the value in themy_columncolumn matches the regular expression pattern[A-Z]{2}[0-9]{3}.
For more information about using regular expressions in Big Query, see the Big Query documentation.
More of Google Big Query
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
- How can I use the Google BigQuery free tier?
- How do I use a Google BigQuery cursor to retrieve data?
- How can I use Google BigQuery to retrieve data from a specific year?
- How do I set up a Google Big Query zone?
- How can I use Google Big Query to integrate with Zephyr?
- How do I use Google Big Query to zip files?
- How do I use wildcards in Google BigQuery?
- How can I use the CASE WHEN statement in Google Big Query?
- How can I determine the length of a string in Google BigQuery?
See more codes...