How to insert values in table in sql | sql tutorial in Hindi /English | use of INSERT INTO & example

Connect to Database: First, make sure you’re connected to the database where you want to insert data. This is usually done using a database connection or client, depending on the programming language or tool you’re using.

Choose the Table: Identify the table into which you want to insert data. Ensure that the table structure (columns and data types) matches the data you intend to insert.
* Write the SQL Statement: Use the INSERT INTO statement to specify the table and the values you want to insert. The basic syntax is:sqlCopy codeINSERT INTO table_name (column1, column2, column3, …)
* VALUES (value1, value2, value3, …);
*
* table_name: The name of the table where you want to insert data.
* (column1, column2, column3, …): List the columns into which you want to insert data.
* VALUES (value1, value2, value3, …): Specify the corresponding values for each column.
* Example: Let’s say you have a table called employees with columns id, first_name, and last_name. You want to insert a new employee with an ID of 1, a first name of “John,” and a last name of “Doe.” Here’s how the SQL statement would look:sqlCopy codeINSERT INTO employees (id, first_name, last_name)
* VALUES (1, ‘John’, ‘Doe’);
*
* Execute the Query: After you’ve written the SQL statement, you need to execute it using your database client or programming language. This will send the data to the database for insertion.
* Verify the Insertion: Check the database to confirm that the data has been successfully inserted. You can use a SELECT statement to retrieve the data from the table.
Important considerations:
* Make sure to handle any errors that may occur during the insertion process.
* If the table has auto-incremented primary keys, you may not need to specify a value for the primary key column, as the database will generate it automatically.
Always exercise caution when inserting data into a database, especially in production environments, to prevent data corruption or security vulnerabilities.

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