支持多个表（或者根据直接查询数据表的所有表）
前沿，在程序猿确定需求文档时候，设计好了数据表后，然后第一步就是及时提交实体类了，好方便小组同事写拓展业务代码。
之前每次接到需求，都是设计一两张表，我就赖得写一键生成实体类代码，蠢办法一个Ctrl+C，Ctrl+V，请叫我复制粘贴工程师。
但是这周接到的需求，重构XXX系统，和老大，同事们开完会，讨论后，建立了个8张表。。。。难道今天要报废我的Ctrl，C，V 键帽，还有我的快手。
作为程序猿，不折腾一番咋行呢，必须写个手动一键生成啊
全局代码如下：
package net.oschina.tester;
import java.io.File;
import java.io.FileWriter;
import java.io.IOException;
import java.io.PrintWriter;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.ResultSetMetaData;
import java.sql.SQLException;
import java.util.*;
public class GenEntityMysql {
private String outPath = "D:data";
private String packageOutPath = "net.oschina.beans";//指定实体生成所在包的路径
private String authorName = "author_name";//作者名字
private String[] colnames; // 列名数组
private String[] colTypes; //列名类型数组
private int[] colSizes; //列名大小数组
private Map colMap = new HashMap<>();//列名-列名大小
private Map comment; //字段注释
private boolean f_util = false; // 是否需要导入包java.util.*
private boolean f_sql = false; // 是否需要导入包java.sql.*
private boolean cap = false;//是否首字母大写
private boolean hump = false;//是否驼峰
//数据库连接
private static final String URL = "jdbc:mysql://192.168.1.50:3306/oscdb";
private static final String NAME = "root";
private static final String PASS = "oschina";
private static final String DRIVER = "com.mysql.jdbc.Driver";
/*
* 构造函数
*/
public GenEntityMysql(String tablename) {
//创建连接
Connection con = null;
//查要生成实体类的表
String sql = "select * from " + tablename;
PreparedStatement pStemt = null;
PreparedStatement pStemt2 = null;
try {
try {
Class.forName(DRIVER);
} catch (ClassNotFoundException e1) {
e1.printStackTrace();
}
con = DriverManager.getConnection(URL, NAME, PASS);
pStemt = con.prepareStatement(sql);
ResultSetMetaData rsmd = pStemt.getMetaData();
int size = rsmd.getColumnCount(); //统计列
colnames = new String[size];
colTypes = new String[size];
colSizes = new int[size];
for (int i = 0; i < size; i++) {
String colName = rsmd.getColumnName(i + 1);
int colSize = rsmd.getColumnDisplaySize(i + 1);
colnames[i] = colName;
colTypes[i] = rsmd.getColumnTypeName(i + 1);
if (colTypes[i].equalsIgnoreCase("datetime")) {
f_util = true;
}
if (colTypes[i].equalsIgnoreCase("image") || colTypes[i].equalsIgnoreCase("text")) {
f_sql = true;
}
colSizes[i] = colSize;
colMap.put(colName, colSize);
}
//获取数据库字段注释
String commentSql = " show full fields from " + tablename;
comment = new HashMap();
pStemt2 = con.prepareStatement(commentSql);
ResultSet rs2 = pStemt2.executeQuery();
while (rs2.next()) {
String comm = rs2.getString("Comment");
if (null != comm && !comm.equals("")) {
comment.put(rs2.getString("Field"), comm);
} else {
comment.put(rs2.getString("Field"), rs2.getString("Field"));
}
}
System.out.println(comment);
String content = parse(tablename, colnames, colTypes, colSizes);
try {
File file = new File(outPath);
file.mkdirs();
FileWriter fw = new FileWriter(outPath + initcap(colnameToHump(tablename)) + ".java");
PrintWriter pw = new PrintWriter(fw);
pw.println(content);
pw.flush();
pw.close();
} catch (IOException e) {
e.printStackTrace();
}
} catch (SQLException e) {
e.printStackTrace();
} finally {
try {
con.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
}
/**
* 功能：生成实体类主体代码
*
* @param colnames
* @param colTypes
* @param colSizes
* @return
*/
private String parse(String tablename, String[] colnames, String[] colTypes, int[] colSizes) {
StringBuffer sb = new StringBuffer();
sb.append("package " + this.packageOutPath + ";rn");
sb.append("rn");
//判断是否导入工具包
if (f_util) {
sb.append("import java.util.Date;rn");
}
if (f_sql) {
sb.append("import java.sql.*;rn");
}
//注释部分
sb.append("rn");
sb.append("/**rn");
sb.append(" * " + tablename + " 实体类rn");
//sb.append(" * " + new Date() + " " + this.authorName + "rn");
sb.append(" */ rn");
//实体部分
sb.append("rn");
sb.append("public class " + initcap(colnameToHump(tablename)) + " {rn");
processAllAttrs(sb);//属性
processAllMethod(sb);//get set方法
sb.append("}rn");
return sb.toString();
}
/**
* 功能：生成所有属性
*
* @param sb
*/
private void processAllAttrs(StringBuffer sb) {
for (int i = 0; i < colnames.length; i++) {
sb.append("rn");
sb.append(" /**rn");
sb.append(" * " + comment.get(colnames[i]) + "rn");
sb.append(" */ rn");
sb.append("tprivate " + sqlType2JavaType(colTypes[i], colMap.get(colnames[i])) + " " + colnameToHump(colnames[i]) + ";rn");
}
}
/**
* 功能：生成getter,setter方法
*
* @param sb
*/
private void processAllMethod(StringBuffer sb) {
for (int i = 0; i < colnames.length; i++) {
sb.append("tpublic " + sqlType2JavaType(colTypes[i], colMap.get(colnames[i])) + " get" + initcap(colnameToHump(colnames[i])) + "(){rn");
sb.append("ttreturn " + colnameToHump(colnames[i]) + ";rn");
sb.append("t}rn");
sb.append("rn");
sb.append("tpublic void set" + initcap(colnameToHump(colnames[i])) + "(" + sqlType2JavaType(colTypes[i], colMap.get(colnames[i])) + " " +
colnameToHump(colnames[i]) + "){rn");
sb.append("ttthis." + colnameToHump(colnames[i]) + " = " + colnameToHump(colnames[i]) + ";rn");
sb.append("t}rn");
sb.append("rn");
}
}
/**
* 功能：将数据库的字段改成驼峰命名的方式
*/
public String colnameToHump(String colnames) {
if (!hump) {
return colnames;
}
String[] tf = colnames.split("_");
String newColName = "";
for (int i = 0; i < tf.length; i++) {
tf[i] = initcap(tf[i]);
newColName = newColName + tf[i];
}
return newColName;
}
/**
* 功能：将输入字符串的首字母改成大写
*
* @param str
* @return
*/
private String initcap(String str) {
if (!cap) {
return str;
}
char[] ch = str.toCharArray();
if (ch[0] >= 'a' && ch[0] <= 'z') {
ch[0] = (char) (ch[0] - 32);
}
return new String(ch);
}
/**
* 功能：获得列的数据类型
*
* @param sqlType
* @param size
* @return
*/
private String sqlType2JavaType(String sqlType, Integer size) {
if (sqlType.equalsIgnoreCase("int unsigned")) {
if (size != null && size > 10) {
return "long";
}
return "int";
}
if (sqlType.equalsIgnoreCase("bit")) {
return "boolean";
} else if (sqlType.equalsIgnoreCase("tinyint")) {
return "byte";
} else if (sqlType.equalsIgnoreCase("smallint")) {
return "short";
} else if (sqlType.equalsIgnoreCase("int")) {
if (size != null && size > 10) {
return "long";
}
return "int";
} else if (sqlType.equalsIgnoreCase("bigint")) {
return "long";
} else if (sqlType.equalsIgnoreCase("float")) {
return "float";
} else if (sqlType.equalsIgnoreCase("decimal") || sqlType.equalsIgnoreCase("numeric")
|| sqlType.equalsIgnoreCase("real") || sqlType.equalsIgnoreCase("money")
|| sqlType.equalsIgnoreCase("smallmoney")) {
return "double";
} else if (sqlType.equalsIgnoreCase("varchar") || sqlType.equalsIgnoreCase("char")
|| sqlType.equalsIgnoreCase("nvarchar") || sqlType.equalsIgnoreCase("nchar")
|| sqlType.equalsIgnoreCase("text")) {
return "String";
} else if (sqlType.equalsIgnoreCase("datetime")) {
return "Date";
} else if (sqlType.equalsIgnoreCase("image")) {
return "Blod";
}
return null;
}
/**
* 出口
*
* @param args
*/
public static void main(String[] args) {
//List listName=Db.query("select table_name from information_schema.tables where table_schema=?",schema);
List tableNames = Arrays.asList("osc_ad_click_details","osc_ad_operate_logs");
tableNames.stream().forEach(s -> {
new GenEntityMysql(s);
});
}
} 代码中有三个小细节：
- private boolean cap = false;//是否首字母大写 ，可大写或不大写
- private boolean hump = false;//是否驼峰，可驼峰或不驼峰
- private Map
效果图：
