- By listing the distinct values in a table.
- By querying for NULL values in a table.
- By querying the table with a GROUP BY and a HAVING count(*) > 2.
- Acquaint yourself with the data and create a data dictionary.
- A document that helps you to understand what is in your database.
- First, you will need to install a Python plugin into your MySQL Workbench installation, then create an ERD. Next, you can use the Python plugin to create the data dictionary to paste into a text or markdown editor of your choice.
- They help search for string patterns in your data.
- Matches the beginning of a string.
- Matches any of the patterns specified.
- Yes. WHERE column REGEXP '^[abc].{3}on$'
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