在查询时候有时候要一条数据,有时候要的是一个结果集,然而有时候返回就是一个统计值,通过对ResultSet和ResultSetMetaData的变换得到各类所需的查询结果,因为没有利用连接池数据链接管理比较麻烦,所以谢了一个工具类,
package com.sky.connect;import java.lang.reflect.InvocationTargetException;import java.sql.ResultSet;import java.sql.SQLException;import java.util.ArrayList;import java.util.HashMap;import java.util.List;import java.util.Map;import org.apache.commons.beanutils.BeanUtils;import com.mysql.jdbc.Connection;import com.mysql.jdbc.PreparedStatement;import com.mysql.jdbc.ResultSetMetaData;/** * DAO设计模式 * * @author 潘琢文 * */public class DAO { /** * 更新数据库操作 * * @param sql * @param args */ public void update(String sql, Object... args) { Connection connection = null; PreparedStatement preparedStatement = null; try { connection = JDBCTools.getConnection(); preparedStatement = (PreparedStatement) connection .prepareStatement(sql); for (int i = 0; i T get(Class<t> clazz, String sql, Object... args) { T entity = null; Connection connection = null; PreparedStatement preparedStatement = null; ResultSet result = null; try { connection = JDBCTools.getConnection(); preparedStatement = (PreparedStatement) connection .prepareStatement(sql); for (int i = 0; i map = new HashMap<string object>(); ResultSetMetaData rsmd = (ResultSetMetaData) result.getMetaData(); if (result.next()) { for (int i = 0; i 0) { entity = clazz.newInstance(); for (Map.Entry<string object> entry : map.entrySet()) { String filedName = entry.getKey(); Object filedObject = entry.getValue(); BeanUtils.setProperty(entity, filedName, filedObject); } } } catch (Exception e) { e.printStackTrace(); } finally { JDBCTools.release(result, preparedStatement, connection); } return entity; } /** * 通用查询方法,返回一个结果集 * * @param clazz * @param sql * @param args * @return */ public <t> List<t> getForList(Class<t> clazz, String sql, Object... args) { List<t> list = new ArrayList<t>(); Connection connection = null; PreparedStatement preparedStatement = null; ResultSet result = null; try { connection = JDBCTools.getConnection(); preparedStatement = (PreparedStatement) connection .prepareStatement(sql); for (int i = 0; i > values = handleResultSetToMapList(result); list = transfterMapListToBeanList(clazz, values); } catch (Exception e) { e.printStackTrace(); } finally { JDBCTools.release(result, preparedStatement, connection); } return list; } /** * * @param clazz * @param values * @return * @throws InstantiationException * @throws IllegalAccessException * @throws InvocationTargetException */ public <t> List<t> transfterMapListToBeanList(Class<t> clazz, List<map object>> values) throws InstantiationException, IllegalAccessException, InvocationTargetException { List<t> result = new ArrayList<t>(); T bean = null; if (values.size() > 0) { for (Map<string object> m : values) { bean = clazz.newInstance(); for (Map.Entry<string object> entry : m.entrySet()) { String propertyName = entry.getKey(); Object value = entry.getValue(); BeanUtils.setProperty(bean, propertyName, value); } // 13. 把 Object 对象放入到 list 中. result.add(bean); } } return result; } /** * * @param resultSet * @return * @throws SQLException */ public List<map object>> handleResultSetToMapList( ResultSet resultSet) throws SQLException { List<map object>> values = new ArrayList<map object>>(); List<string> columnLabels = getColumnLabels(resultSet); Map<string object> map = null; while (resultSet.next()) { map = new HashMap<string object>(); for (String columnLabel : columnLabels) { Object value = resultSet.getObject(columnLabel); map.put(columnLabel, value); } values.add(map); } return values; } /** * * @param resultSet * @return * @throws SQLException */ private List<string> getColumnLabels(ResultSet resultSet) throws SQLException { List<string> labels = new ArrayList<string>(); ResultSetMetaData rsmd = (ResultSetMetaData) resultSet.getMetaData(); for (int i = 0; i E getForValue(String sql, Object... args) { Connection connection = null; PreparedStatement preparedStatement = null; ResultSet resultSet = null; try { connection = JDBCTools.getConnection(); preparedStatement = (PreparedStatement) connection .prepareStatement(sql); for (int i = 0; i <br><pre class="brush:php;toolbar:false">package com.sky.connect;import java.io.IOException;import java.io.InputStream;import java.sql.DriverManager;import java.sql.ResultSet;import java.sql.SQLException;import java.util.Properties;import com.mysql.jdbc.Connection;import com.mysql.jdbc.Driver;import com.mysql.jdbc.PreparedStatement;import com.mysql.jdbc.Statement;/** * JDBC操作的工具类 版本 1.0 * * @author 潘琢文 * */public class JDBCTools { /** * 使用preparedStatement进行数据更新 * * @param sql * @param args */ public static void update(String sql, Object ... args) { Connection connection = null; PreparedStatement preparedStatement = null; try { connection = JDBCTools.getConnection(); preparedStatement = (PreparedStatement) connection .prepareStatement(sql); for (int i = 0; i <br>

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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