Regular expression, regexp (re)
Builds a regular expression from the given string pattern.
How does it work in the search window?
Select Create column in the search window toolbar, then select the Regular expression, regexp operation. You need to specify one argument:
The data type of the values in the new column is regexp.
The examples in this article use values in a data table generated from this CSV file. If you want to try the example for yourself, download the file and upload it to your domain clicking Data upload in the navigation pane. Name the new table my.upload.sample.data and select Current date as Date parsing type. Learn more about uploading data in Uploading log files.
After receiving the confirmation message, you can access the table from the Finder, selecting my → upload → sample → data. When you upload data from a file, all the information is included in a single column called message. To split the values into different columns, you can use the Split operation. Click Toggle Query Editor in the search window toolbar and paste the following LINQ query to save time:
select split(message, ";", 9) as regexStr
demo.ecommerce.data table, we want to transform the strings representing regular expressions in the regexStr column into regexp data type. To do it, we will create a new column using the Regular expression, regexp operation.
The arguments needed to create the new column are:
- Pattern - regexStr column
Click Create column and you will see the following result:
How does it work in LINQ?
Use the operator
as... and add the operation syntax to create the new column. This is the syntax for the Regular expression, regexp operation:
You can copy the following LINQ script and try the above example on the
from my.upload.sample.data select split(message, ";", 9) as regexStr, re(regexStr) as regex