(SQL Tutorials for Citizen Data Scientist)
SQL DROP Statement
In this tutorial you will learn how to delete database and table using SQL.
Removing a Table from Database
You can use the DROP TABLE
statement to easily delete the database tables that you no longer need. The DROP TABLE
statement permanently erase all data from the table, as well as the metadata that defines the table in the data dictionary.
Syntax
The DROP TABLE
removes one or more tables. The syntax can be given with:
table1_name
, table2_name
, …;Here, table1_name, table2_name, … are the names of the tables that you want to delete.
Warning: Dropping a database or table is irreversible. So, be careful while using the DROP
statement, because database system generally do not display any alert like “Are you sure?”. It will immediately delete the database or table and all of its data.
Let’s try to remove a database table using the DROP TABLE
statement.
If you remember back to create table chapter, we’ve created a table persons in our demo database. The following statement will remove this table permanently from the database.
Example
DROP TABLE persons;
After executing the above command, if you try to perform any operation on the persons table, like selecting the records from it, you’ll get an error message.
Removing Database
Similarly, you can delete a database using the DROP DATABASE
statement. The following command will permanently remove the demo database from the database server.
Example
DROP DATABASE demo;
Now if you try to select the demo database using the USE demo;
statement, you’ll get an error message saying “Unknown database” or “Database does not exist”.
Beginners Guide to SQL – SQL DROP Statement
Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.
Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners
Latest end-to-end Learn by Coding Projects (Jupyter Notebooks) in Python and R:
All Notebooks in One Bundle: Data Science Recipes and Examples in Python & R.
End-to-End Python Machine Learning Recipes & Examples.
End-to-End R Machine Learning Recipes & Examples.
Applied Statistics with R for Beginners and Business Professionals
Data Science and Machine Learning Projects in Python: Tabular Data Analytics
Data Science and Machine Learning Projects in R: Tabular Data Analytics
Python Machine Learning & Data Science Recipes: Learn by Coding
R Machine Learning & Data Science Recipes: Learn by Coding
Comparing Different Machine Learning Algorithms in Python for Classification (FREE)
There are 2000+ End-to-End Python & R Notebooks are available to build Professional Portfolio as a Data Scientist and/or Machine Learning Specialist. All Notebooks are only $29.95. We would like to request you to have a look at the website for FREE the end-to-end notebooks, and then decide whether you would like to purchase or not.