C和MySQL批量处理数据(cpp mysql 批量)

C和MySQL批量处理数据

在开发过程中,我们常常需要处理大量数据。而当数据量过大时,直接对数据库操作可能会耗费过长时间,影响程序的运行效率。此时,我们可以通过C语言来实现批量处理数据,快速完成操作。

C语言中,我们可以使用MySQL C API来连接MySQL数据库。该API提供了一系列函数,可以方便地进行数据库操作,如连接数据库、执行SQL语句等等。

接下来,我们通过一个例子来演示如何使用C语言和MySQL批量处理数据。

假设我们有一个学生成绩表,包含了学生的学号、姓名以及数学、语文、英语三门课的成绩。我们需要将每位学生的总分、平均分以及总成绩排序后输出。当数据量比较大时,我们可以使用批量处理数据的方式,快速完成操作。

我们需要连接MySQL数据库。以下是连接数据库的代码:

MYSQL conn;
mysql_init(&conn);
if(mysql_real_connect(&conn, "localhost", "username", "password", "database", 0, NULL, 0) == NULL) {
printf("Error connecting to database: %s\n", mysql_error(&conn));
exit(1);
}

其中,localhost代表数据库所在的IP地址,username和password为数据库登录信息,database为数据库名称。如果连接失败,则会输出错误信息并退出程序。

接下来,我们需要执行SQL语句,查询学生成绩并计算总分、平均分、总成绩。以下是SQL语句:

SELECT student_id, name, math, chinese, english, math + chinese + english AS total, (math + chinese + english) / 3 AS average, math + chinese + english AS score_sum FROM score ORDER BY score_sum DESC;

我们将查询结果存储在一个二维数组中,并输出到屏幕上。以下是查询并输出的代码:

MYSQL_RES *res;
MYSQL_ROW row;
int ret = mysql_query(&conn, "SELECT student_id, name, math, chinese, english, math + chinese + english AS total, (math + chinese + english) / 3 AS average, math + chinese + english AS score_sum FROM score ORDER BY score_sum DESC;");
if(ret) {
printf("Error executing query: %s\n", mysql_error(&conn));
exit(1);
}
res = mysql_use_result(&conn);

printf("%-15s%-15s%-15s%-15s%-15s%-15s%-15s%-15s\n", "学号", "姓名", "数学", "语文", "英语", "总分", "平均分", "总成绩");
while((row = mysql_fetch_row(res)) != NULL) {
printf("%-15s%-15s%-15s%-15s%-15s%-15s%-15s%-15s\n", row[0], row[1], row[2], row[3], row[4], row[5], row[6], row[7]);
}
mysql_free_result(res);

以上代码会将查询结果输出到屏幕上,并且会按照总成绩从高到低排序。

如果数据量比较大,我们可以使用批量处理数据的方式快速完成操作。以下是批量处理数据的代码:

MYSQL_RES *res;
MYSQL_ROW row;
MYSQL_STMT *stmt;
MYSQL_BIND param[8];

stmt = mysql_stmt_init(&conn);
if(stmt == NULL) {
printf("Error initializing statement: %s\n", mysql_error(&conn));
exit(1);
}

ret = mysql_stmt_prepare(stmt, "SELECT student_id, name, math, chinese, english, math + chinese + english AS total, (math + chinese + english) / 3 AS average, math + chinese + english AS score_sum FROM score ORDER BY score_sum DESC", strlen("SELECT student_id, name, math, chinese, english, math + chinese + english AS total, (math + chinese + english) / 3 AS average, math + chinese + english AS score_sum FROM score ORDER BY score_sum DESC"));
if(ret) {
printf("Error preparing statement: %s\n", mysql_stmt_error(stmt));
exit(1);
}

memset(param, 0, sizeof(param));
param[0].buffer_type = MYSQL_TYPE_STRING;
param[0].buffer = malloc(16);
param[0].buffer_length = 16;
param[1].buffer_type = MYSQL_TYPE_STRING;
param[1].buffer = malloc(16);
param[1].buffer_length = 16;
param[2].buffer_type = MYSQL_TYPE_DOUBLE;
param[2].buffer = malloc(8);
param[2].buffer_length = 8;
param[3].buffer_type = MYSQL_TYPE_DOUBLE;
param[3].buffer = malloc(8);
param[3].buffer_length = 8;
param[4].buffer_type = MYSQL_TYPE_DOUBLE;
param[4].buffer = malloc(8);
param[4].buffer_length = 8;
param[5].buffer_type = MYSQL_TYPE_DOUBLE;
param[5].buffer = malloc(8);
param[5].buffer_length = 8;
param[6].buffer_type = MYSQL_TYPE_DOUBLE;
param[6].buffer = malloc(8);
param[6].buffer_length = 8;
param[7].buffer_type = MYSQL_TYPE_DOUBLE;
param[7].buffer = malloc(8);
param[7].buffer_length = 8;
mysql_stmt_bind_result(stmt, param);
if(mysql_stmt_execute(stmt)) {
printf("Error executing statement: %s\n", mysql_stmt_error(stmt));
exit(1);
}
printf("%-15s%-15s%-15s%-15s%-15s%-15s%-15s%-15s\n", "学号", "姓名", "数学", "语文", "英语", "总分", "平均分", "总成绩");
while(mysql_stmt_fetch(stmt) == 0) {
printf("%-15s%-15s%-15.2lf%-15.2lf%-15.2lf%-15.2lf%-15.2lf%-15.2lf\n", param[0].buffer, param[1].buffer, *(double *)param[2].buffer, *(double *)param[3].buffer, *(double *)param[4].buffer, *(double *)param[5].buffer, *(double *)param[6].buffer, *(double *)param[7].buffer);
}
mysql_stmt_close(stmt);

以上代码使用了MySQL预处理语句进行批量操作,并将查询结果存储在一组MYSQL_BIND结构体中。然后,我们通过mysql_stmt_fetch函数获取每一行数据并输出到屏幕上。

综上所述,通过C语言和MySQL批量处理数据,我们可以快速完成大量数据的操作,并提升程序的运行效率。当然,具体的实现方式还需根据实际情况进行调整。


数据运维技术 » C和MySQL批量处理数据(cpp mysql 批量)