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.
Latihan ini adalah bagian dari kursus
Functions for Manipulating Data in PostgreSQL
Petunjuk latihan
- Extract the characters to the left of the
@of theemailcolumn in thecustomertable and alias it asusername. - Now use
SUBSTRINGto extract the characters after the@of theemailcolumn and alias the new derived field asdomain.
Latihan interaktif praktis
Cobalah latihan ini dengan menyelesaikan kode contoh berikut.
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;