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Selecting Non-Empty Columns in MySQL
In MySQL, retrieving columns only where a value exists can enhance data analysis and ensure accuracy. The article delves into a successful method to accomplish this task.
Consider the scenario where phone numbers stored in the phone and phone2 columns need filtering. The goal is to select rows where phone starts with '813' and phone2 contains a value.
The SQL query you provided:
select phone, phone2 from jewishyellow.users where phone like '813%' and phone2
fails because MySQL interprets an empty phone2 column as a logical false value. To remedy this, compare phone2 with an empty string using the following query:
select phone, phone2 from jewishyellow.users where phone like '813%' and phone2<>''
By utilizing this approach, MySQL treats all non-empty phone2 values as true, resulting in the successful selection of desired rows.
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