In the ongoing SQL series, till now, we have discussed creating a table, inserting rows, and selecting rows for the data analysis.
What if you want to delete or remove records from a table after finding it irrelevant in the SELECT
statement output? For the corresponding purpose, use the SQL DELETE
statement.
Although deleting data from SQL tables can be a delicate process. However, with the right skills and knowledge, you can manage your database with confidence and ease.
This post will provide you with information regarding the SQL DELETE
statement, its syntax, use cases, common errors and their fixes, and the best practices to utilize the mentioned statement!
What is SQL DELETE Statement
The SQL DELETE
statement is utilized for deleting single or multiple records from a database table. It permits you to selectively remove particular rows based on the added one or more conditions. More specifically, this statement is a powerful tool used for maintaining data integrity.
The syntax of the DELETE
statement comprises different components, such as DELETE
, FROM
, WHERE
, etc as follows.
DELETE FROM table_name WHERE condition;
Here:
- The “
DELETE
” command statement is utilized for deleting records from the mentioned table. - “
table_name
” refers to the name of the desired table. - The “
WHERE
” clause is added to define the “condition
” based on which the record will be deleted.
How to Use SQL DELETE Statement
The DELETE
statement can be utilized in several scenarios, such as:
- For deleting or removing a single row or record from a table.
- For deleting or removing multiple rows or records from a table.
- For deleting or removing all rows or records from a table.
Let’s practically demonstrate each of the mentioned case scenarios.
Delete Specific Row in a SQL Table
Over a period of time, you may have noticed that a particular table is accumulating a large amount of data, some of which can be irrelevant or outdated. In such a scenario, you can remove a particular record or row from the table by utilizing the DELETE
statement.
To do so, firstly, view the relevant table data using the SELECT
statement.
SELECT * FROM authors;
Then, DELETE the row from the “authors
” table WHERE
the id equals 5.
DELETE FROM authors WHERE id = 5;
For the verification, again view the table content.
SELECT * FROM authors;
Likewise, you can define the condition as per requirements and remove a specific row from the mentioned table.
DELETE FROM editors WHERE name= 'Harry';
The above-given statement removes the row WHERE
the name has been found as “Harry
“.
Delete Multiple Rows in a SQL Table
Deleting multiple rows can assist in removing incorrect data and replacing it with authentic or accurate information. Moreover, sometimes, it becomes essential to remove multiple rows at once for protecting confidential or sensitive information from unauthorized access.
In this case, we will utilize the “editors
” table. Therefore, we will view its data first with the help of the SELECT statement.
SELECT * FROM editors;
Write out the provided command for deleting the records FROM the “editors
” table WHERE
“age
” is less than 30.
DELETE FROM editors WHERE age < 30;
As you can see, two rows have been removed from the “editors
” table.
Delete All Rows in a SQL Tabl
There exist chances that you want to feed new data onto an existing table. For this, it is required to remove all rows from the table first and then add new records. In this regard, the DELETE
statement can help you out with the first operation.
For the demonstration, we will delete all of the records from the “new_authors
” table, so view its data first.
SELECT * FROM new_authors;
It can be seen that currently, the new_authors table has three rows.
Now, specify the DELETE
statement without column names or any WHERE
clause for removing all records as follows.
DELETE FROM new_authors;
Then, run the SELECT statement for the verification.
SELECT * FROM new_authors;
The output signifies that the new_authors table is now empty.
Common Errors in SQL DELETE Statements
This section is all about discussion related to the common errors that can annoy you while running the DELETE
statement and their relevant fixes.
Deleting All Records in a Table
First of all, it is crucial to specify the column names in the DELETE
statement when it is required to delete or remove particular data from the mentioned table. Otherwise, the DELETE
statement will delete all data at once.
DELETE FROM authors;
Deleting Data Without Using WHERE Clause
Similar to the first case, double-check the condition before running the DELETE statement
. If you have not added the WHERE
clause, then all of the data will get removed.
DELETE FROM editors;
Delete Multiple Tables Data without Join Clause
In a scenario, where it is required to delete data from multiple tables, firstly, understand the relationship between tables and then use the most suitable JOIN
clause.
Here you can see, we have not added the JOIN
clause, so the ERROR 1064 will be shown on the shell stating the syntax error.
DELETE FROM authors, editors WHERE authors.id = 3;
The solution is to add the JOIN
clause according to your requirements.
DELETE authors, editors FROM authors INNER JOIN editors ON authors.id = editors.id WHERE authors.id = 3;
The given DELETE
statement deletes the rows FROM the “authors
” and “editors
” table WHERE
the “id
” has been found as 3.
It can be observed that the record with id 3 has been deleted from both tables.
Best Practices for Using SQL DELETE Statement
Want to implement SQL DELETE statement best practices? Check out the given list.
- Back up the database before performing the
DELETE
operation on a large scale. - Utilize the
WHERE
clause for avoiding the deletion of unintended data. - Test the
DELETE
query in a development environment first before implementing it on a production database. - Avoid using the
DELETE
statement in a loop. - Clean up unnecessary or old data for improving database performance.
That’s how you can use the SQL DELETE
statement in the best possible way.
Conclusion
The DELETE
statement is a crucial tool that you must know for the management of the database and the relevant record. It can be used for removing specific, single, or multiple rows or deleting all records at once from a table.
Moreover, it is important for you to understand the best practices to prevent data loss and other issues.
That’s all from this post, keep following our SQL series to be up-to-date!