Developing with MySQL and Fortran: How to implement data science computing functions

Developing using MySQL and Fortran: How to implement data science computing functions

In the field of data science, computing and analyzing large amounts of data is crucial. In order to achieve efficient data science computing functions, we can use MySQL and Fortran languages ​​in combination. MySQL is a popular relational database management system, and Fortran is a high-performance scientific computing language. By combining the two, we can use the data storage and management capabilities of MySQL and the efficient numerical computing capabilities of Fortran to complete various data science tasks.

Below we will introduce how to use MySQL and Fortran for data science calculations, and provide some code examples for reference.

First, we need to create a MySQL database and create a table in it to store our data. Suppose we want to process a data set containing students' names, ages, and grades. We can use the following SQL statement to create a table named "students":

CREATE TABLE students (
    id INT PRIMARY KEY AUTO_INCREMENT,
    name VARCHAR(50),
    age INT,
    score DECIMAL(5,2)
);

Next, we can use Fortran to write a program to Connect to a MySQL database and read data into a Fortran program for calculations. The following is a simple Fortran program example:

PROGRAM data_analysis
  USE mysql, ONLY: MYSQL_TYPE, MYSQL_ATTR, MYSQL_STMT, mysql_init, &
  mysql_stmt_init, mysql_fetch, MySQL_Query, MySQL_Prepare, MySQL_Stmt_Close, &
  mysql_real_connect, mysql_options, mysql_stmt_store_result
  IMPLICIT NONE
  
  INTEGER :: ierr, nrow, ncol, i
  CHARACTER(len=1024) :: hostname, username, password, dbname
  CHARACTER(len=100) :: query
  REAL, ALLOCATABLE :: data(:,:)
  TYPE(MYSQL_STMT) :: stmt
  TYPE(MYSQL_RES) :: result

  ! 连接到MySQL数据库
  CALL mysql_init(stmt)
  dbname = "your_database_name"
  CALL mysql_real_connect(stmt, 'localhost', 'your_username', 'your_password', dbname, 0, C_NULL, 0)

  ! 执行查询语句
  query = "SELECT * FROM students"
  CALL MySQL_Query(stmt, TRIM(query), LEN(TRIM(query)))

  ! 获取结果集
  CALL mysql_store_result(stmt)
  nrow = mysql_num_rows(stmt)
  ncol = mysql_num_fields(stmt)
  IALLOCATE(data(nrow, ncol))

  ! 从结果集中读取数据
  DO i = 1, nrow
    CALL mysql_fetch(stmt)
    CALL mysql_stmt_fetch(stmt, ncol, data(i,:))
  END DO

  ! 关闭MySQL连接
  CALL mysql_stmt_close(stmt)
  CALL mysql_close(stmt)

  ! 在Fortran程序中进行数据科学计算
  ! 这里可以编写任意的计算代码，例如计算平均成绩等

  DEALLOCATE(data)
  
END PROGRAM data_analysis

In this example, we first initialize a MySQL_STMT type variable stmt, and then call the mysql_real_connect function to connect to the MySQL database. Next, we executed a query statement to obtain the data for all students and read the result set into a Fortran data array. Finally, we can perform any data science calculations in Fortran programs, such as calculating average grades, etc.

By using the combination of MySQL and Fortran, we can easily perform data science calculations and make full use of MySQL's data storage and management capabilities and Fortran's efficient numerical computing capabilities. I hope this article will be helpful to readers who want to use MySQL and Fortran to develop data science computing functions.

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