Combining functions for string manipulation

In the next example, we are going to break apart the email column from the customer table into three new derived fields. Parsing a single column into multiple columns can be useful when you need to work with certain subsets of data. Email addresses have embedded information stored in them that can be parsed out to derive additional information about our data. For example, we can use the techniques we learned about in the video to determine how many of our customers use an email from a specific domain.

This exercise is part of the course

Functions for Manipulating Data in PostgreSQL

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Exercise instructions

Extract the characters to the left of the @ of the email column in the customer table and alias it as username.
Now use SUBSTRING to extract the characters after the @ of the email column and alias the new derived field as domain.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

SELECT
  -- Extract the characters to the left of the '@'
  ___(___, ___('@' IN email)-1) AS username,
  -- Extract the characters to the right of the '@'
  ___(___ FROM ___('@' IN email)+1 ___ ___(___)) AS domain
FROM customer;

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