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_table
table.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_column
column 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
- How can I use Google Big Query to count the number of zeros in a given dataset?
- ¿Cuáles son las ventajas y desventajas de usar Google BigQuery?
- How do I use the YEAR function in Google BigQuery?
- How can I use Google Big Query to process XML data?
- How can I use the CASE WHEN statement in Google Big Query?
- How do I use Google BigQuery language to query data?
- How do I use the "not in" operator in Google BigQuery?
- How do I set up a Google Big Query zone?
- How can I use the Google BigQuery free tier?
- How do I use Google Big Query to zip files?
See more codes...