In SQL, a delete statement is utilized to remove one or more columns from a table. The syntax by and large, incorporates the keyword "Delete", the table title from which to delete rows, and a WHERE clause indicating the conditions under which to delete columns.
What is Delete Statement?
Structured Query Language (SQL) may be a capable apparatus for overseeing and manipulating data in relational databases. One of the foremost fundamental SQL commands is the Delete statement. This command lets you delete one or more records from a table based on indicated conditions. In this blog, we will investigate the Delete statement in SQL and its various aspects. Delete could be a SQL explanation used to erase database table records.
For illustration, a company specializing in online retail might utilize a Delete statement to evacuate outdated or damaged things from the stock table. This would free up space within the table and guarantee that clients are, as it was seeing items that are accessible for buying. Let's see its language structure and cases.
Syntax of DELETE statement:
The basic syntax of the DELETE statement in SQL is as follows:
DELETE FROM table_name WHERE condition;
In the above syntax, table_name is the table name from which you want to delete the records. The condition specifies the criteria that must be met for the records to be deleted. If the condition is not specified, all the records in the table will be deleted.
Delete single record
Let's consider a sample table called "students" with the following columns: id, name, age, gender, and grade.
To delete a record with a specific id value, you can use the following query:
DELETE FROM students WHERE id = 1;
This statement will delete the record with id=1 from the student's table.
Delete multiple records
To delete records having an age as 20, you can use the following query:
DELETE FROM students WHERE age=20;
Deleting all the records
To delete all records from the student's table, you can use the following query:
DELETE FROM students;
This statement will delete all the records from the student's table.
Difference between Delete, Drop, and Truncate
In the context of databases and SQL, "delete", "drop," and "truncate" are commands that are used to remove data from tables. However, they differ in their behavior and impact on the table structure. Here's a comparison of the three commands in a table format:
|Command||Purpose||Impact on the table structure||Commitment|
|DELETE||Removes specific rows from a table based on a WHERE clause.||Does not affect the table structure. Only the specified rows are removed.||It can be rolled back using a transaction.|
|DROP||Removes an entire table from the database.||Completely removes the table and all its data. The table structure is also removed.||It cannot be rolled back.|
|TRUNCATE||Removes all data from a table.||Removes all data from the table, but the table structure remains intact.||It cannot be rolled back.|
The online retailer utilized a Delete statement to evacuate outdated or damaged items from the inventory table. This freed up space within the table and guaranteed that clients were as it was seeing items that were accessible for purchase. The Delete statement was utilized to for all time expel any items that were now not substantial.
1. What is the purpose of the DELETE statement in SQL?
Answer: c. To remove one or more records from a table based on specified conditions
2. What is the basic syntax of the DELETE statement in SQL?
Answer: d. DELETE table_name WHERE condition;
3. How can you delete a single record from a table in SQL?
Answer: c. DELETE FROM table_name WHERE id = 1;
4. How can you delete multiple records from a table in SQL?
Answer: d. DELETE FROM table_name WHERE age = 20;
5. What happens when you execute a DELETE statement without a WHERE clause?
Answer: a. All records in the table will be deleted.
6. What is the difference between DELETE, DROP, and TRUNCATE in SQL?
Answer: a. DELETE removes data from a table based on a WHERE clause, DROP removes the table and its data, and TRUNCATE removes all data from the table but keeps its structure.
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