数据库操作的时候,模式很固定。于是把这些操作都封装起来。 达到提供sql语句或参数,得到结果的目的。 我们把这个类库叫SqlHelper SqlHelper using System; using System.Configuration; using System.Data; using System.Data.SqlClient;namespace YZLibra
数据库操作的时候,模式很固定。于是把这些操作都封装起来。
达到提供sql语句或参数,得到结果的目的。
我们把这个类库叫SqlHelper
SqlHelper
<code class=" hljs cs"><span class="hljs-keyword">using</span> System; <span class="hljs-keyword">using</span> System.Configuration; <span class="hljs-keyword">using</span> System.Data; <span class="hljs-keyword">using</span> System.Data.SqlClient; namespace YZLibrary { class SqlHelper { <span class="hljs-keyword">private</span> <span class="hljs-keyword">static</span> <span class="hljs-keyword">readonly</span> <span class="hljs-keyword">string</span> connStr = ConfigurationManager.ConnectionStrings[<span class="hljs-string">"sql"</span>].ConnectionString; <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><summary></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> 执行非查询语句并返回受影响行数</span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"></summary></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><param name="sql"></span><span class="hljs-xmlDocTag"></param></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><param name="pms"></span><span class="hljs-xmlDocTag"></param></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><returns></span><span class="hljs-xmlDocTag"></returns></span></span> <span class="hljs-keyword">public</span> <span class="hljs-keyword">static</span> <span class="hljs-keyword">int</span> <span class="hljs-title">ExecuteNonQuery</span>(<span class="hljs-keyword">string</span> sql, <span class="hljs-keyword">params</span> SqlParameter[] pms) { <span class="hljs-keyword">using</span> (SqlConnection conn = <span class="hljs-keyword">new</span> SqlConnection(connStr)) { <span class="hljs-keyword">using</span> (SqlCommand cmd = <span class="hljs-keyword">new</span> SqlCommand(sql, conn)) { cmd.Parameters.AddRange(pms); conn.Open(); <span class="hljs-keyword">return</span> cmd.ExecuteNonQuery(); } } } <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><summary></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> 执行查询,并返回查询的结果集中的第一行第一列</span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"></summary></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><param name="sql"></span><span class="hljs-xmlDocTag"></param></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><param name="pms"></span><span class="hljs-xmlDocTag"></param></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><returns></span><span class="hljs-xmlDocTag"></returns></span></span> <span class="hljs-keyword">public</span> <span class="hljs-keyword">static</span> <span class="hljs-keyword">object</span> <span class="hljs-title">ExecuteScalar</span>(<span class="hljs-keyword">string</span> sql, <span class="hljs-keyword">params</span> SqlParameter[] pms) { <span class="hljs-keyword">using</span> (SqlConnection conn = <span class="hljs-keyword">new</span> SqlConnection(connStr)) { <span class="hljs-keyword">using</span> (SqlCommand cmd = <span class="hljs-keyword">new</span> SqlCommand(sql, conn)) { cmd.Parameters.AddRange(pms); conn.Open(); <span class="hljs-keyword">return</span> cmd.ExecuteScalar(); } } } <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><summary></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> 执行查询,并返回SqlDataReader。</span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"></summary></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><param name="sql"></span><span class="hljs-xmlDocTag"></param></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><param name="pms"></span><span class="hljs-xmlDocTag"></param></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><returns></span><span class="hljs-xmlDocTag"></returns></span></span> <span class="hljs-keyword">public</span> <span class="hljs-keyword">static</span> SqlDataReader <span class="hljs-title">ExecuteReader</span>(<span class="hljs-keyword">string</span> sql, <span class="hljs-keyword">params</span> SqlParameter[] pms) { SqlConnection conn = <span class="hljs-keyword">new</span> SqlConnection(connStr); <span class="hljs-keyword">try</span> { <span class="hljs-keyword">using</span> (SqlCommand cmd = <span class="hljs-keyword">new</span> SqlCommand(sql, conn)) { cmd.Parameters.AddRange(pms); conn.Open(); <span class="hljs-keyword">return</span> cmd.ExecuteReader(CommandBehavior.CloseConnection); } } <span class="hljs-keyword">catch</span> (Exception ex) { conn.Dispose(); <span class="hljs-keyword">throw</span> ex; } } <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><summary></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> 执行查询,返回DataTable</span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"></summary></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><param name="sql"></span><span class="hljs-xmlDocTag"></param></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><param name="pms"></span><span class="hljs-xmlDocTag"></param></span></span> <span class="hljs-comment"><span class="hljs-xmlDocTag">///</span> <span class="hljs-xmlDocTag"><returns></span><span class="hljs-xmlDocTag"></returns></span></span> <span class="hljs-keyword">public</span> <span class="hljs-keyword">static</span> DataTable <span class="hljs-title">ExecuteDataTable</span>(<span class="hljs-keyword">string</span> sql,<span class="hljs-keyword">params</span> SqlParameter[] pms) { DataTable dt = <span class="hljs-keyword">new</span> DataTable(); <span class="hljs-keyword">using</span> (SqlDataAdapter adapter = <span class="hljs-keyword">new</span> SqlDataAdapter(sql, connStr)) { adapter.SelectCommand.Parameters.AddRange(pms); adapter.Fill(dt); } <span class="hljs-keyword">return</span> dt; } } }</code>
ExecuteReader
ExecuteScalar只执行一次,执行完后就可以把连接断开,但ExecuteReader要从数据库取好几次,所以连接要一直开着,直到数据取完了。
那怎么关掉连接,开始是想从外边关,但从外边关根本无法访问到函数里边的conn对象,没法儿关。
于是就用到了CommandBehavior.CloseConnection,在执行该命令时,如果关闭关联的 DataReader 对象,则关联的 Connection 对象也将关闭。
使用SQLHelper
<code class=" hljs cpp"> <span class="hljs-comment">//ExecuteNonQuery 无参的</span> <span class="hljs-built_in">string</span> sql = <span class="hljs-string">"update LoginTest set pwd=1234 where uid='小明';"</span>; <span class="hljs-keyword">int</span> res = SqlHelper.ExecuteNonQuery(sql); Console.WriteLine(res); Console.ReadKey(); <span class="hljs-comment">//ExecuteNonQuery 有参的</span> <span class="hljs-built_in">string</span> sql = <span class="hljs-string">"update LoginTest set pwd=@pwd where uid=@uid;"</span>; SqlParameter[] ps = { <span class="hljs-keyword">new</span> SqlParameter(<span class="hljs-string">"@pwd"</span>,<span class="hljs-number">1</span>),<span class="hljs-comment">//如果第二个参数为0,要用(object)强转,否则会默认为第二个构造函数。第二个构造函数,是枚举型,和第一个构造函数冲突</span> <span class="hljs-keyword">new</span> SqlParameter(<span class="hljs-string">"@uid"</span>,<span class="hljs-string">"小明"</span>), }; <span class="hljs-keyword">int</span> res = SqlHelper.ExecuteNonQuery(sql, ps); Console.WriteLine(res); Console.ReadKey(); <span class="hljs-comment">//ExecuteScalar 参数化模糊查询</span> <span class="hljs-built_in">string</span> sql = <span class="hljs-string">"select count(*) from LoginTest where uid like @uid"</span>; SqlParameter pUid = <span class="hljs-keyword">new</span> SqlParameter(<span class="hljs-string">"@uid"</span>, <span class="hljs-string">"杨%"</span>); <span class="hljs-keyword">int</span> count = (<span class="hljs-keyword">int</span>)SqlHelper.ExecuteScalar(sql, pUid); Console.WriteLine(count); Console.ReadKey(); <span class="hljs-comment">//ExecuteReader</span> <span class="hljs-keyword">using</span> (SqlDataReader reader = SqlHelper.ExecuteReader(<span class="hljs-string">"select * from LoginTest"</span>)) { <span class="hljs-keyword">while</span> (reader.Read()) { List<<span class="hljs-built_in">string</span>> <span class="hljs-built_in">list</span> = <span class="hljs-keyword">new</span> List<<span class="hljs-built_in">string</span>>(); <span class="hljs-keyword">for</span> (<span class="hljs-keyword">int</span> i = <span class="hljs-number">0</span>; i < reader.FieldCount; i++) { <span class="hljs-built_in">list</span>.Add(reader[i].ToString()); } Console.WriteLine(<span class="hljs-built_in">string</span>.Join(<span class="hljs-string">","</span>, <span class="hljs-built_in">list</span>)); } } Console.ReadKey(); <span class="hljs-comment">//DataAdapter,这个要建winform程序</span> <span class="hljs-built_in">string</span> sql = <span class="hljs-string">"select * from LoginTest"</span>; dataGridView1.DataSource = SqlHelper.ExecuteDataTable(sql);</code>
这是比较简单的SqlHelper。
还有比较完善的微软SQLHelper.cs类 中文版

ACID attributes include atomicity, consistency, isolation and durability, and are the cornerstone of database design. 1. Atomicity ensures that the transaction is either completely successful or completely failed. 2. Consistency ensures that the database remains consistent before and after a transaction. 3. Isolation ensures that transactions do not interfere with each other. 4. Persistence ensures that data is permanently saved after transaction submission.

MySQL is not only a database management system (DBMS) but also closely related to programming languages. 1) As a DBMS, MySQL is used to store, organize and retrieve data, and optimizing indexes can improve query performance. 2) Combining SQL with programming languages, embedded in Python, using ORM tools such as SQLAlchemy can simplify operations. 3) Performance optimization includes indexing, querying, caching, library and table division and transaction management.

MySQL uses SQL commands to manage data. 1. Basic commands include SELECT, INSERT, UPDATE and DELETE. 2. Advanced usage involves JOIN, subquery and aggregate functions. 3. Common errors include syntax, logic and performance issues. 4. Optimization tips include using indexes, avoiding SELECT* and using LIMIT.

MySQL is an efficient relational database management system suitable for storing and managing data. Its advantages include high-performance queries, flexible transaction processing and rich data types. In practical applications, MySQL is often used in e-commerce platforms, social networks and content management systems, but attention should be paid to performance optimization, data security and scalability.

The relationship between SQL and MySQL is the relationship between standard languages and specific implementations. 1.SQL is a standard language used to manage and operate relational databases, allowing data addition, deletion, modification and query. 2.MySQL is a specific database management system that uses SQL as its operating language and provides efficient data storage and management.

InnoDB uses redologs and undologs to ensure data consistency and reliability. 1.redologs record data page modification to ensure crash recovery and transaction persistence. 2.undologs records the original data value and supports transaction rollback and MVCC.

Key metrics for EXPLAIN commands include type, key, rows, and Extra. 1) The type reflects the access type of the query. The higher the value, the higher the efficiency, such as const is better than ALL. 2) The key displays the index used, and NULL indicates no index. 3) rows estimates the number of scanned rows, affecting query performance. 4) Extra provides additional information, such as Usingfilesort prompts that it needs to be optimized.

Usingtemporary indicates that the need to create temporary tables in MySQL queries, which are commonly found in ORDERBY using DISTINCT, GROUPBY, or non-indexed columns. You can avoid the occurrence of indexes and rewrite queries and improve query performance. Specifically, when Usingtemporary appears in EXPLAIN output, it means that MySQL needs to create temporary tables to handle queries. This usually occurs when: 1) deduplication or grouping when using DISTINCT or GROUPBY; 2) sort when ORDERBY contains non-index columns; 3) use complex subquery or join operations. Optimization methods include: 1) ORDERBY and GROUPB


Hot AI Tools

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Undress AI Tool
Undress images for free

Clothoff.io
AI clothes remover

AI Hentai Generator
Generate AI Hentai for free.

Hot Article

Hot Tools

ZendStudio 13.5.1 Mac
Powerful PHP integrated development environment

PhpStorm Mac version
The latest (2018.2.1) professional PHP integrated development tool

Dreamweaver CS6
Visual web development tools

VSCode Windows 64-bit Download
A free and powerful IDE editor launched by Microsoft

Dreamweaver Mac version
Visual web development tools