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Single File Programming QuestionProblem StatementFrom the following table, write a query to count all the orders generated on "2012-08-17." Return the number of orders.Table name: ordersNote: Table names are case sensitive.Input format :The input table is already created, and records are already prepopulated, as mentioned in the problem statement.Output format :The output displays the count of all the orders generated on '2012-08-17' as shown below.Count2Refer to the sample output for the column header.Note :The program will be evaluated only after the “Submit Code” is clicked.Extra spaces and new line characters in the program output will result in the failure of the test case.

Question

Single File Programming QuestionProblem StatementFrom the following table, write a query to count all the orders generated on "2012-08-17." Return the number of orders.Table name: ordersNote: Table names are case sensitive.Input format :The input table is already created, and records are already prepopulated, as mentioned in the problem statement.Output format :The output displays the count of all the orders generated on '2012-08-17' as shown below.Count2Refer to the sample output for the column header.Note :The program will be evaluated only after the “Submit Code” is clicked.Extra spaces and new line characters in the program output will result in the failure of the test case.

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Solution

To solve this problem, you would need to write a SQL query. Here is the step-by-step solution:

Step 1: Identify the table you are working with. In this case, the table is "orders".

Step 2: Identify the column that contains the date information. The problem statement does not provide this information, but let's assume the column is called "order_date".

Step 3: Write a SQL query to count the number of orders generated on "2012-08-17".

Here is the SQL query:

SELECT COUNT(*) AS Count
FROM orders
WHERE order_date = '2012-08-17';

This query will return the count of all the orders generated on '2012-08-17'.

Please replace "order_date" with the actual column name in your "orders" table that contains the date information.

This problem has been solved

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