DataSet被称作数据集,可以比作内存中的数据库,DataSet为ADO.NET核心,支持ADO.NET断开式,分布式数据方案的核心对象也是实现基于非连接的数据查询核心组件 DataTable常用属性: 属性 说明 Columns 获取属于该表的列的集合 Rows 获取属于该表的行的集合 TableNam
DataSet被称作数据集,可以比作内存中的数据库,DataSet为ADO.NET核心,支持ADO.NET断开式,分布式数据方案的核心对象也是实现基于非连接的数据查询核心组件
DataTable常用属性:
属性 | 说明 |
Columns | 获取属于该表的列的集合 |
Rows | 获取属于该表的行的集合 |
TableName | 获取或设置DataTable的名称 |
DataTable方法:
方法 | 说明 |
AcceptChanges | 提交自上次调用AcceptChanges以来对该表进行的所有更改 |
Clear | 清除DataTable内的所有数据 |
NewRow | 创建与该表具有相同架构的新DataRow |
using System; using System.Collections.Generic; using System.Data; using System.Data.SqlClient; using System.Linq; using System.Text; using System.Threading.Tasks; namespace SQLTest { class Program { static void Main(string[] args) { ///连接数据库 DataSet ds = new DataSet(); //创建数据库DataSet对象 DataTable dt = new DataTable(); //创建数据库DataTable对象 ds.Tables.Add(dt); //将数据表对象加入数据集对象集合中 dt.Columns.Add("name", typeof(string)); //向DataTable中添加列 dt.Columns.Add("address", typeof(string));//向DataTable中添加列 DataRow dr = dt.NewRow(); //得到数据表,行对象 dr[0] = "潘潘"; dr[1] = "武汉"; //向行对象中添加数据 dt.Rows.Add(dr); dt.Rows.Add(new object[] { "潘潘潘", "北京" }); //向数据行中添加新的对象 foreach(DataRow v in dt.Rows) { Console.WriteLine("{0} {1}", v[0], v[1]); } string connection = "server=潘尚\\SQLEXPRESS;database=db_test;Trusted_Connection=true"; SqlConnection sc = new SqlConnection(connection); // sc.ConnectionString = connection; try { sc.Open(); //打开数据库连接 Console.WriteLine("已经打开数据库连接!"); //START:5.导出数据库中的记录////////////////////////////////////////////////////////// /* SqlCommand cmd = new SqlCommand("SELECT * FROM db_student", sc); SqlDataReader sdr = cmd.ExecuteReader(); //执行查找记录命令 while(sdr.Read()) { Console.WriteLine("{0}{1}{2}{3}", sdr[0], sdr[1], sdr[2], sdr[3]); } */ //END:5.导出数据库中的记录//////////////////////////////////////////////////////////// //START:4.查询数据库记录////////////////////////////////////////////////////////////// /* SqlCommand cmd = new SqlCommand("SELECT count(*) FROM db_student", sc); int i = (int)cmd.ExecuteScalar();//执行查找记录的命令 Console.WriteLine("表中共有{0}条数据", i.ToString()); */ //END:4.查询数据库记录//////////////////////////////////////////////////////////////// //START:3.修改数据库数据的代码//////////////////////////////////////////////////////// /* SqlCommand cmd = new SqlCommand("UPDATE db_student SET student_grade=99 where student_name=@name", sc); //创建SqlCommand对象 cmd.Parameters.Add("@name", SqlDbType.VarChar).Value = "潘"; int i = cmd.ExecuteNonQuery(); if (i > 0) Console.WriteLine("修改成功!"); */ //END:3.修改数据库数据的代码///////////////////////////////////////////////////////// //START:1.删除数据库记录代码段/////////////////////////////////////////////////////// /* string cmdtext = "DELETE FROM db_student WHERE student_name=@name"; SqlCommand cmd = new SqlCommand(cmdtext, sc); cmd.Parameters.Add("@name", SqlDbType.VarChar).Value = "潘"; int i = cmd.ExecuteNonQuery(); if (i > 0) Console.WriteLine("删除记录成功!"); */ //END:1.删除数据库记录代码段///////////////////////////////////////////////////////// //START:2.添加记录的代码/////////////////////////////////////////////////////////////// /* SqlCommand cmd = new SqlCommand();//创建SqlCommand对象 cmd.CommandType = CommandType.Text; //设置执行文本命令 cmd.Connection = sc; //设置对象属性 cmd.CommandText = "INSERT INTO db_student(student_name,student_age,student_address,student_grade)VALUES(@name,@age,@address,@grade)"; //添加参数并为参数赋值 cmd.Parameters.Add("@name", SqlDbType.VarChar, 10).Value = "潘"; cmd.Parameters.Add("@age", SqlDbType.Int).Value = 19; cmd.Parameters.Add("@address", SqlDbType.VarChar).Value = "武汉"; cmd.Parameters.Add("@grade", SqlDbType.Int).Value = 100; int i = cmd.ExecuteNonQuery(); //执行数据库添加记录命令 if (i > 0) Console.WriteLine("添加记录成功"); */ //控制台输出添加记录 //END:2.添加记录的代码///////////////////////////////////////////////////////////////// } catch (Exception ex) { Console.WriteLine("打开数据库错误:{0}", ex.Message); } finally { sc.Close(); Console.WriteLine("数据库连接已关闭!"); } System.Console.ReadLine(); } } }
结果:
在未打开数据库连接之前,在内存中处理数据

InnoDBBufferPool reduces disk I/O by caching data and indexing pages, improving database performance. Its working principle includes: 1. Data reading: Read data from BufferPool; 2. Data writing: After modifying the data, write to BufferPool and refresh it to disk regularly; 3. Cache management: Use the LRU algorithm to manage cache pages; 4. Reading mechanism: Load adjacent data pages in advance. By sizing the BufferPool and using multiple instances, database performance can be optimized.

Compared with other programming languages, MySQL is mainly used to store and manage data, while other languages such as Python, Java, and C are used for logical processing and application development. MySQL is known for its high performance, scalability and cross-platform support, suitable for data management needs, while other languages have advantages in their respective fields such as data analytics, enterprise applications, and system programming.

MySQL is worth learning because it is a powerful open source database management system suitable for data storage, management and analysis. 1) MySQL is a relational database that uses SQL to operate data and is suitable for structured data management. 2) The SQL language is the key to interacting with MySQL and supports CRUD operations. 3) The working principle of MySQL includes client/server architecture, storage engine and query optimizer. 4) Basic usage includes creating databases and tables, and advanced usage involves joining tables using JOIN. 5) Common errors include syntax errors and permission issues, and debugging skills include checking syntax and using EXPLAIN commands. 6) Performance optimization involves the use of indexes, optimization of SQL statements and regular maintenance of databases.

MySQL is suitable for beginners to learn database skills. 1. Install MySQL server and client tools. 2. Understand basic SQL queries, such as SELECT. 3. Master data operations: create tables, insert, update, and delete data. 4. Learn advanced skills: subquery and window functions. 5. Debugging and optimization: Check syntax, use indexes, avoid SELECT*, and use LIMIT.

MySQL efficiently manages structured data through table structure and SQL query, and implements inter-table relationships through foreign keys. 1. Define the data format and type when creating a table. 2. Use foreign keys to establish relationships between tables. 3. Improve performance through indexing and query optimization. 4. Regularly backup and monitor databases to ensure data security and performance optimization.

MySQL is an open source relational database management system that is widely used in Web development. Its key features include: 1. Supports multiple storage engines, such as InnoDB and MyISAM, suitable for different scenarios; 2. Provides master-slave replication functions to facilitate load balancing and data backup; 3. Improve query efficiency through query optimization and index use.

SQL is used to interact with MySQL database to realize data addition, deletion, modification, inspection and database design. 1) SQL performs data operations through SELECT, INSERT, UPDATE, DELETE statements; 2) Use CREATE, ALTER, DROP statements for database design and management; 3) Complex queries and data analysis are implemented through SQL to improve business decision-making efficiency.

The basic operations of MySQL include creating databases, tables, and using SQL to perform CRUD operations on data. 1. Create a database: CREATEDATABASEmy_first_db; 2. Create a table: CREATETABLEbooks(idINTAUTO_INCREMENTPRIMARYKEY, titleVARCHAR(100)NOTNULL, authorVARCHAR(100)NOTNULL, published_yearINT); 3. Insert data: INSERTINTObooks(title, author, published_year)VA


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