- Replace 'username', and 'password' with your actual database credentials.
Varaibles types in MATLAB and SQL
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Dear all,
I have a question regarding the type of varible that I have in MATLAB and the new type when I export (from MATLAB to SQL) to SQL.
I have a vector in MATLAB with 2 position
v = [1 2.2 ]
I am using the toolbox Database to export. However, the vector that appear in SQL
v = [1.0000000000000000 2.2000000000000000].
I know that I can correct it in SQL but I would like to know if it is possible to define it in MATLAB.
Thank you for your attentino and have a good week.
Kind regarding,
Yogan Felipe Sganzerla
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Piyush Kumar
le 28 Oct 2024 à 7:47
Hi,
To control the number of decimal places when exporting data from MATLAB to a SQL database, you can use MATLAB's sprintf function with a format specifier and define the SQL table with appropriate precision.
Steps to Achieve the Desired Formatting:
1. Format the Numbers in MATLAB: Use the sprintf function with a format specifier like "%.2f" to ensure the numbers have two decimal places before inserting them into the database.
2. Define SQL Table with Precision: Create the SQL table with columns defined as NUMERIC(5, 2). This ensures that numbers stored in the database have two decimal places.
CREATE TABLE student (
id INT AUTO_INCREMENT PRIMARY KEY,
marks NUMERIC(5, 2),
avg_marks NUMERIC(5, 2)
);
3. Construct and Execute the SQL Query in MATLAB: Here is an example of how to format the numbers and execute the SQL query using MATLAB:
v = [1 2.2];
sqlquery = sprintf('INSERT INTO test.student (marks, avg_marks) VALUES (%.2f, %.2f)', v(1), v(2));
disp(sqlquery);
% Connect to the database
conn = database('', 'username', 'password', 'Vendor', 'MySQL', 'Server', 'localhost', 'PortNumber', 3306);
% Check if the connection is successful
if isopen(conn)
% Execute the SQL query
exec(conn, sqlquery);
close(conn);
else
disp('Failed to connect to the database.');
disp(conn.Message);
end
By following these steps, the values stored in the database will be "1.00" and "2.20" for the marks and avg_marks columns, respectively.
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