COS Function in SQL

The COS is a SQL function of mathematics which returns the cosine value of the specified number.

Syntax of COS Function

In the COS syntax, we have to pass that decimal number whose cosine value we want to return.

In the Structured Query Language, we can also use the COS function with the field of the table as shown in the following block:

In this syntax, we have to define the name and column of that table on which we want to perform the COS function.

Examples of COS function

Example 1: This example returns the cosine value of the number in the given query:

Output:

Cos_Value_of_101
0.89200

Example 2: This example returns the cosine value of 2 from the following SELECT query:

Output:

Cos_Value_of_2
0.41614683654714241

Example 3: This example returns the cosine value of 8:

Output:

Cos_Value_of_8
0.98935824662338179

Example 4: This example returns the Cos_Value of 255:

Output:

Cos_Value_of_255
-0.50639163492449091

Example 5: This example returns the Cos_Value of 90:

Output:

Cos_Value_of_90
-0.448073616

Example 6: This example returns the Cos_Value of NULL:

Output:

Cos_Value_of_NULL
-

Example 7: This example returns the cosine value of all the numbers between 21 and 30:

SELECT COS(21) AS 21, COS(22) AS 22, COS(23) AS 23, COS(24) AS 24, COS(25) AS 25, COS(26) AS 26, COS(27) AS 27, COS(28) AS 28, COS(29) AS 29, COS(30) AS 30;

Output:

21	22	23	24	25	26	27	28	29	30
0.8366	-8.8513	-0.846	-0.9055	-0.1323	0.7625	0.9563	0.2709	0.6636	-0.988

Example 8: This example uses the COS function with the SQL table.

In this example, we will create the new table through which we will perform the COS function on numerical columns:

The following shows the syntax to create the new table in SQL:

CREATE TABLE Name_of_New_Table
(
First_Column_of_table Data Type (character_size of First Column),  
Second_Column_of_table Data Type (character_size of the Second column ),  
Third_Column_of_table Data Type (character_size of the Third column),  
.......,  
Last_Column_of_table Data Type (character_size of the Last column)
);  

The following CREATE statement creates the Product_Details table for storing the price and quantity of products:

CREATE TABLE Product_Details
(
Product_ID INT NOT NULL,
Product_Name Varchar(50),
Product_Quantity INT,
Purchasing_Price INT,
Selling_Price INT,
Release_Date Date, 
Product_Rating INT
);

The following multiple INSERT queries insert the records of products with their selling and purchasing price into the Product_Details table:

INSERT INTO Product_Details (Product_ID, Product_Name, Product_ Quantity Purchasing_Price, Selling_Price, Release_Date, Product_Rating) VALUES (104, P1, 10.250, 945, NULL, 2022-04-30, NULL);

INSERT INTO Product_Details (Product_ID, Product_Name, Product_ Quantity Purchasing_Price, Selling_Price, Release_Date, Product_Rating) VALUES (202, P4, 15.500, 45, 75, 2022-01-28, 5);

INSERT INTO Product_Details (Product_ID, Product_Name, Product_ Quantity Purchasing_Price, Selling_Price, Release_Date, Product_Rating) VALUES (103, P2, 18.250, 25, NULL, 2022-02-18, 4);

INSERT INTO Product_Details (Product_ID, Product_Name, Product_ Quantity Purchasing_Price, Selling_Price, Release_Date, Product_Rating) VALUES (111, P7, 25.250, 5, 15, 2021-12-25, 9);

INSERT INTO Product_Details (Product_ID, Product_Name, Product_ Quantity Purchasing_Price, Selling_Price, Release_Date, Product_Rating) VALUES (210, P6, 15.500, 50, 70, 2021-10-15, NULL);

INSERT INTO Product_Details (Product_ID, Product_Name, Product_ Quantity Purchasing_Price, Selling_Price, Release_Date, Product_Rating) VALUES (212, P8, 19.750, 110, 250, 2022-01-28, 4);

INSERT INTO Product_Details (Product_ID, Product_Name, Product_ Quantity Purchasing_Price, Selling_Price, Release_Date, Product_Rating) VALUES (112, P10, 10.250, 550, 835, 2022-04-11, NULL);

The following SELECT statement displays the inserted records of the above Product_Details table:

Product_ID	Product_Name	Product_Quantity	Purchasing_Price	Selling_Price	Release_Date	Product_Rating
104	P1	10.250	945	NULL	2022-04-30	NULL
202	P4	15.500	45	75	2022-01-28	5
103	P2	18.250	25	NULL	2022-02-18	4
111	P7	25.250	5	15	2021-12-25	9
210	P6	15.500	50	70	2021-10-15	NULL
212	P8	19.750	110	250	2022-01-28	4
112	P10	10.250	550	835	2022-04-11	NULL

Query 1: The following SELECT query uses the COS function with the Product_Quantity column of the above Product_Details table:

SELECT Product_ID, COS(Product_ID) AS Cos_Value_of_Product_ID FROM Product_Details;

This query returns the cosine value of each product id from the table.

Output:

Product_ID	Cos_Value_of_Product_ID
104	-0.3216
202	0.80641
103	0.622
111	-0.8654
210	0.4677185
212	-0.99834
112	-0.8899956

Query 2: The following SELECT query uses the COS function with the and Purchasing_Price and Selling_Price column of the above Product_Details table:

SELECT Purchasing_Price, COS(Purchasing_Price) AS Cos_Value_of_PurchasingPrice, Selling_Price, COS(Selling_Price) AS Cos_Value_of_SellingPrice FROM Product_Details;

This query shows the cosine value of purchasing and selling price of each product.

Output: