今天写了个 MySQL 分页的 javabean,是用 MySQL 里的 LIMIT 来实现的. sql = "SELECT * FROM Test LIMIT 5, 10"; 这句话的意思就是从第五条记录开始往下读 10 条记录出来,这个 bean 没有连接数据库的功能, 你可以使用自己的类来链接数据库,当然可以用我那个
今天写了个 MySQL 分页的 javabean,是用 MySQL 里的 LIMIT 来实现的.sql = "SELECT * FROM Test LIMIT 5, 10";
这句话的意思就是从第五条记录开始往下读 10 条记录出来,这个 bean 没有连接数据库的功能,
你可以使用自己的类来链接数据库,当然可以用我那个写的很烂的 dbClass.java 来连,^_^
这里给出三个程序的源代码。
dbClass.java -- 用来连接 MySQL 数据库。
PageQuery.java -- 重写了 dbClass 返回的 ResultSet,使其具备分页功能。
example.jsp -- jsp 文件,可以看到,我只用了两行就实现了分页的功能,当然,
sql 语句是不鼓励直接写在 jsp 里的,这里为了让大家看清楚,所以这么做了。
自知水平不高,只想抛砖引玉,有什么错漏之处还望高手指出。
=========================== example.jsp ===================================
"+bar+" | |
=========================== PageQuery.java ===================================
package dbclass;
/**
* PageQuery v 1.0
* 这个类原名叫 TViewPage ,作者 sharetop ,用 php 写的。
* 同事 Macro 曾用 PHP 改写过这个类,添加了不少功能。
* 我感觉封装的很好,使用十分方便,使用 JSP 后,便有了
* 想法用 JSP 来改写,这次为了简明起见,我省去了很多功能,
* 尽量让它好读,以后有空添加更多的功能,
*
* Mender :
* Jeru Liu
* Homepage :
* http://www.cyberlabs.com/~jeru/
* Email: jeru@163.net
*
* 本类没有提供连接数据库的功能,所以需在外部打开相应的数据库。
* 需在外部自定义数据显示格式。
*/
import java.util.*;
import java.sql.*;
import java.io.*;
import javax.servlet.*;
import javax.servlet.http.*;
public class PageQuery {
int Offset; // 记录偏移量
int Total; // 记录总数
int MaxLine; // 记录每页显示记录数
ResultSet rs; // 读出的结果
int TPages; // 总页数
int CPages; // 当前页数
String PageQuery; // 分页显示要传递的参数
String Query; // query 语句
String QueryPart; // " FROM " 以后的 query 部分
String FilePath;
dbClass db; // object of dbclass
//constructer do nothing
public PageQuery() {
// 每页显示十行
MaxLine = 10;
db = new dbClass();
}
//********读取记录***************
// 主要工作函数,根据所给的条件从表中读取相应的记录
public ResultSet myQuery(String query, HttpServletRequest req) throws SQLException {
String query_part, os;
int begin, offset;
// 截取 " FROM " 以后的 query 语句
begin = query.indexOf(" FROM ");
query_part = query.substring(begin, query.length()).trim();
// 计算偏移量
os = req.getParameter("offset");
if (os == null) Offset = 0;
else Offset = Integer.parseInt(os);
// 获取文件名
FilePath = req.getRequestURI();
Query = query;
QueryPart = query_part;
// 计算总的记录条数
String SQL = "SELECT Count(*) AS total " + this.QueryPart;
rs = db.executeQuery(SQL);
if (rs.next())
Total = rs.getInt(1);
// 设置当前页数和总页数
TPages = (int)Math.ceil((double)this.Total/this.MaxLine);
CPages = (int)Math.floor((double)Offset/this.MaxLine+1);
// 根据条件判断,取出所需记录
if (Total > 0) {
SQL = Query + " LIMIT " + Offset + " , " + MaxLine;
rs = db.executeQuery(SQL);
}
return rs;
}
// 显示总页数
public int getTotalPages() {
return TPages;
}
//显示当前所在页数
public int getCurrenPages() {
return CPages;
}
//**********显示翻页提示栏*************
// 显示首页、下页、上页、尾页
// 你可以改成你喜欢的样式
public String PageLegend() {
String str = "";
int first, next, prev, last;
first = 0;
next = Offset + MaxLine;
prev = Offset - MaxLine;
last = (this.TPages - 1) * MaxLine;
if(Offset >= MaxLine)
str += " 首页 ";
else str += " 首页 ";
if(prev >= 0)
str += " 前页 ";
else str += " 前页 ";
if(next str += " 后页 ";
else str += " 后页 ";
if(TPages != 0 && CPages str += " 尾页";
else str += " 尾页 ";
str += " 页次:" + getCurrenPages() + "/" + getTotalPages() + "页 ";
str += MaxLine + "条/页 " + "共" + Total + "条";
return str;
}
}
=========================== dbClass.java ===================================
/**
* a class use to connect the MySQL database and do some query
* use mm.MySQL.Drive
* Jeru Liu ,November 2, 2000 , ver - 1.1
*
*/
package dbclass;
import java.sql.*;
public class dbClass {
// public: connection parameters
String dbName = "Kernel";
String Login = "root";
String Password = "MySQL";
String DBDriver = "org.gjt.mm.MySQL.Driver";
String ConnStr = "jdbc:MySQL://localhost/"+dbName+"?user="+Login+";password="+Password;
Connection con = null;
Statement stmt = null;
ResultSet rs = null;
ResultSetMetaData resultsMeta =null;
int rows = 0;
// public: constructor to load driver and connect db
public dbClass() {
// load mm.MySQL.driver
try
{
Class.forName("org.gjt.mm.MySQL.Driver");
}
// display corresponding error message when onload error occur
catch (java.lang.ClassNotFoundException e)
{
System.out.println("Class not found exception occur. Message is:");
System.out.println(e.getMessage());
}
// establish connection to the database throught driver
try
{
con = DriverManager.getConnection(ConnStr);
}
// display sql error message
catch (SQLException e)
{
System.out.print("SQL Exception occur. Message is:");
System.out.print(e.getMessage());
}
}
// perform a query with records returned
public ResultSet executeQuery(String sql) throws SQLException
{
ResultSet rs = null;
try
{
stmt = con.createStatement();
rs = stmt.executeQuery(sql);
while(rs.next())
this.rows ++;
rs = stmt.executeQuery(sql);
}
catch (SQLException e)
{
System.out.print("Query:"+e.getMessage());
}
this.rs = rs;
return rs;
}
// perform a query without records returned
public boolean executeUpdate(String sql)
{
try
{
stmt = con.createStatement();
stmt.executeUpdate(sql);
return true;
}
catch(SQLException e)
{
System.out.print("Update:"+e.getMessage());
return false;
}
}
// return the num of columns
public int getColumns()
{
int columns = 0;
try
{
this.resultsMeta = this.rs.getMetaData();
columns = this.resultsMeta.getColumnCount();
}
catch (SQLException e) {}
return columns;
}
// return the num of rows
public int getRows()
{
return this.rows;
}
public String getDBName() {
return this.dbName;
}
}

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


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