package xhs; import java.sql.Connection; import java.sql.DriverManager; import java.sql.ResultSet; import java.sql.Statement; public class MyStringClass { /** * @param args */ public static void main(String[] args) { // TODO 自动生成的方法
package xhs;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.ResultSet;
import java.sql.Statement;
public class MyStringClass {
/**
* @param args
*/
public static void main(String[] args) {
// TODO 自动生成的方法存根
String connectionUrl = "jdbc:sqlserver://localhost:1433;"
+ "databaseName=AdventureWorks;integratedSecurity=true;";
String url = "jdbc:sqlserver://127.0.0.1:1433;databaseName=QQhrlgzysyWeb;user=sa;password=123";//sa身份连接
//String url2 = "jdbc:sqlserver://127.0.0.1:1368;databaseName=mydbdemo;integratedSecurity=true;";//windows集成模式连接
// Declare the JDBC objects.
Connection con = null;
Statement stmt = null;
ResultSet rs = null;
try {
// Establish the connection.
System.out.println("begin.");
Class.forName("com.microsoft.sqlserver.jdbc.SQLServerDriver");
con = DriverManager.getConnection(url);
System.out.println("end.");
// Create and execute an SQL statement that returns some data.
String SQL = "SELECT TOP 10 * FROM NewsInfo";
stmt = con.createStatement();
rs = stmt.executeQuery(SQL);
// Iterate through the data in the result set and display it.
while (rs.next()) {
System.out.println(rs.getString(4) + " " + rs.getString(6));
}
}
// Handle any errors that may have occurred.
catch (Exception e) {
e.printStackTrace();
}
finally {
if (rs != null)
try {
rs.close();
} catch (Exception e) {
}
if (stmt != null)
try {
stmt.close();
} catch (Exception e) {
}
if (con != null)
try {
con.close();
} catch (Exception e) {
}
}
}
}
sa身份验证模式
sqlserver2008用的是动态端口,需要你配置一下:
打开配置工具->SQLServer配置管理器->SQLServer网络配置->MSSQLSERVER的协议->TCP/IP启用,把TCP动态端口中的0都删掉,留空;然后把列表拉到最下边(IPALL),配置一个固定端口,以后你连接数据库就用这个端口就可以了:如下图

Stored procedures are precompiled SQL statements in MySQL for improving performance and simplifying complex operations. 1. Improve performance: After the first compilation, subsequent calls do not need to be recompiled. 2. Improve security: Restrict data table access through permission control. 3. Simplify complex operations: combine multiple SQL statements to simplify application layer logic.

The working principle of MySQL query cache is to store the results of SELECT query, and when the same query is executed again, the cached results are directly returned. 1) Query cache improves database reading performance and finds cached results through hash values. 2) Simple configuration, set query_cache_type and query_cache_size in MySQL configuration file. 3) Use the SQL_NO_CACHE keyword to disable the cache of specific queries. 4) In high-frequency update environments, query cache may cause performance bottlenecks and needs to be optimized for use through monitoring and adjustment of parameters.

The reasons why MySQL is widely used in various projects include: 1. High performance and scalability, supporting multiple storage engines; 2. Easy to use and maintain, simple configuration and rich tools; 3. Rich ecosystem, attracting a large number of community and third-party tool support; 4. Cross-platform support, suitable for multiple operating systems.

The steps for upgrading MySQL database include: 1. Backup the database, 2. Stop the current MySQL service, 3. Install the new version of MySQL, 4. Start the new version of MySQL service, 5. Recover the database. Compatibility issues are required during the upgrade process, and advanced tools such as PerconaToolkit can be used for testing and optimization.

MySQL backup policies include logical backup, physical backup, incremental backup, replication-based backup, and cloud backup. 1. Logical backup uses mysqldump to export database structure and data, which is suitable for small databases and version migrations. 2. Physical backups are fast and comprehensive by copying data files, but require database consistency. 3. Incremental backup uses binary logging to record changes, which is suitable for large databases. 4. Replication-based backup reduces the impact on the production system by backing up from the server. 5. Cloud backups such as AmazonRDS provide automation solutions, but costs and control need to be considered. When selecting a policy, database size, downtime tolerance, recovery time, and recovery point goals should be considered.

MySQLclusteringenhancesdatabaserobustnessandscalabilitybydistributingdataacrossmultiplenodes.ItusestheNDBenginefordatareplicationandfaulttolerance,ensuringhighavailability.Setupinvolvesconfiguringmanagement,data,andSQLnodes,withcarefulmonitoringandpe

Optimizing database schema design in MySQL can improve performance through the following steps: 1. Index optimization: Create indexes on common query columns, balancing the overhead of query and inserting updates. 2. Table structure optimization: Reduce data redundancy through normalization or anti-normalization and improve access efficiency. 3. Data type selection: Use appropriate data types, such as INT instead of VARCHAR, to reduce storage space. 4. Partitioning and sub-table: For large data volumes, use partitioning and sub-table to disperse data to improve query and maintenance efficiency.

TooptimizeMySQLperformance,followthesesteps:1)Implementproperindexingtospeedupqueries,2)UseEXPLAINtoanalyzeandoptimizequeryperformance,3)Adjustserverconfigurationsettingslikeinnodb_buffer_pool_sizeandmax_connections,4)Usepartitioningforlargetablestoi


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