利用JAVA反射,讀取資料庫表名,自動生成對應實體類的操作
阿新 • • 發佈：2020-08-23
本程式碼是利用java反射，讀取資料庫表自動根據表名生成實體類，資料庫採用老牌SQLSERVER 2000，驅動為JTDS，其他資料庫可根據情況自定修改。
程式碼中包含了大部分資料庫型別與JAVA型別的轉換，少數未包含進去的會在生成程式碼時打印出來，方面後期查詢修改。
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.ResultSetMetaData;
import java.sql.SQLException;
import java.text.SimpleDateFormat;
import java.util.Date;
/**
* 從資料庫表反射出實體類，自動生成實體類
*
* @author Zero
*
*/
public class SqlHelper {
//基本資料配置
private String packageOutPath = "com.xxx.entity.system";// 指定實體生成所在包的路徑
private String authorName = "Zero";// 作者名字
private String tablename = "xxx";// 表名
private String[] colnames; // 列名陣列
private String[] colTypes; // 列名型別陣列
private String version = "V0.01"; // 版本
private int[] colSizes; // 列名大小陣列
private boolean f_util = false; // 是否需要匯入包java.util.*
private boolean f_sql = false; // 是否需要匯入包java.sql.*
private boolean f_lang = false; // 是否需要匯入包java.sql.*
private String defaultPath = "/src/main/java/";
// 資料庫連線
private static final String URL = "jdbc:jtds:sqlserver://192.168.29.128:1433/xxx";
private static final String NAME = "sa";
private static final String PASS = "xxx";
private static final String DRIVER = "net.sourceforge.jtds.jdbc.Driver";
/*
* 建構函式
*/
public SqlHelper() {
// 建立連線
Connection con;
// 查要生成實體類的表
String sql = "select * from " + tablename;
PreparedStatement pStemt = null;
try {
try {
Class.forName(DRIVER);
} catch (ClassNotFoundException e1) {
// TODO Auto-generated catch block
e1.printStackTrace();
}
con = DriverManager.getConnection(URL,NAME,PASS);
pStemt = con.prepareStatement(sql);
ResultSetMetaData rsmd = pStemt.getMetaData();
int size = rsmd.getColumnCount(); // 統計列
colnames = new String[size];
colTypes = new String[size];
colSizes = new int[size];
for (int i = 0; i < size; i++) {
colnames[i] = rsmd.getColumnName(i + 1);
colTypes[i] = rsmd.getColumnTypeName(i + 1);
//自動生成包配置
// if (colTypes[i].equalsIgnoreCase("datetime")) {
// f_util = true;
// }
if (colTypes[i].equalsIgnoreCase("image") || colTypes[i].equalsIgnoreCase("text")
|| colTypes[i].equalsIgnoreCase("datetime") || colTypes[i].equalsIgnoreCase("time")
|| colTypes[i].equalsIgnoreCase("date") || colTypes[i].equalsIgnoreCase("datetime2")) {
f_sql = true;
}
// if (colTypes[i].equalsIgnoreCase("int")) {
// f_lang = true;
// }
colSizes[i] = rsmd.getColumnDisplaySize(i + 1);
}
String content = parse(colnames,colTypes,colSizes);
try {
File directory = new File("");
String path = this.getClass().getResource("").getPath();
System.out.println(path);
String outputPath = directory.getAbsolutePath() + this.defaultPath
+ this.packageOutPath.replace(".","/") + "/" + initcap(tablename) + ".java";
System.out.println("執行完畢，生成路徑為："+outputPath);
FileWriter fw = new FileWriter(outputPath);
PrintWriter pw = new PrintWriter(fw);
pw.println(content);
pw.flush();
pw.close();
} catch (IOException e) {
e.printStackTrace();
}
} catch (SQLException e) {
e.printStackTrace();
} finally {
}
}
/**
* 功能：生成實體類主體程式碼
*
* @param colnames
* @param colTypes
* @param colSizes
* @return
*/
private String parse(String[] colnames,String[] colTypes,int[] colSizes) {
StringBuffer sb = new StringBuffer();
// 生成package包路徑
sb.append("package " + this.packageOutPath + ";\r\n");
// 判斷是否匯入工具包
if (f_util) {
sb.append("import java.util.Date;\r\n");
}
if (f_sql) {
sb.append("import java.sql.*;\r\n");
}
if (f_lang) {
sb.append("import java.lang.*;\r\n");
}
sb.append("\r\n");
// 註釋部分
sb.append(" /**\r\n");
sb.append(" * @檔名稱：" + this.tablename + ".java\r\n");
sb.append(" * @建立時間：" + new SimpleDateFormat("yyyy-MM-dd HH:mm:ss").format(new Date()) + "\r\n");
sb.append(" * @創 建 人：" + this.authorName + " \r\n");
sb.append(" * @檔案描述：" + tablename + " 實體類\r\n");
sb.append(" * @檔案版本：" + this.version + " \r\n");
sb.append(" */ \r\n");
// 實體部分
sb.append("\r\n\r\npublic class " + initcap(tablename) + "{\r\n");
processAllAttrs(sb);// 屬性
processAllMethod(sb);// get set方法
sb.append("}\r\n");
// System.out.println(sb.toString());
return sb.toString();
}
/**
* 功能：生成所有屬性
*
* @param sb
*/
private void processAllAttrs(StringBuffer sb) {
for (int i = 0; i < colnames.length; i++) {
sb.append("\tprivate " + sqlType2JavaType(colTypes[i]) + " " + colnames[i] + ";\r\n");
}
}
/**
* 功能：生成所有方法
*
* @param sb
*/
private void processAllMethod(StringBuffer sb) {
for (int i = 0; i < colnames.length; i++) {
sb.append("\tpublic void set" + initcap(colnames[i]) + "(" + sqlType2JavaType(colTypes[i]) + " "
+ colnames[i] + "){\r\n");
sb.append("\tthis." + colnames[i] + "=" + colnames[i] + ";\r\n");
sb.append("\t}\r\n");
sb.append("\tpublic " + sqlType2JavaType(colTypes[i]) + " get" + initcap(colnames[i]) + "(){\r\n");
sb.append("\t\treturn " + colnames[i] + ";\r\n");
sb.append("\t}\r\n");
}
}
/**
* 功能：將輸入字串的首字母改成大寫
*
* @param str
* @return
*/
private String initcap(String str) {
char[] ch = str.toCharArray();
if (ch[0] >= 'a' && ch[0] <= 'z') {
ch[0] = (char) (ch[0] - 32);
}
return new String(ch);
}
/**
* 功能：獲得列的資料型別
*
* @param sqlType
* @return
*/
private String sqlType2JavaType(String sqlType) {
if (sqlType.equalsIgnoreCase("bit")) {
return "Boolean";
} else if (sqlType.equalsIgnoreCase("decimal") || sqlType.equalsIgnoreCase("money")
|| sqlType.equalsIgnoreCase("smallmoney") || sqlType.equalsIgnoreCase("numeric")
|| sqlType.equalsIgnoreCase("bigint")) {
return "Long";
} else if (sqlType.equalsIgnoreCase("float")) {
return "Double";
} else if (sqlType.equalsIgnoreCase("int") || sqlType.equalsIgnoreCase("int identity")) {
return "Integer";
} else if (sqlType.equalsIgnoreCase("image") || sqlType.equalsIgnoreCase("varbinary(max)")
|| sqlType.equalsIgnoreCase("varbinary") || sqlType.equalsIgnoreCase("udt")
|| sqlType.equalsIgnoreCase("timestamp") || sqlType.equalsIgnoreCase("binary")) {
return "Byte[]";
} else if (sqlType.equalsIgnoreCase("nchar") || sqlType.equalsIgnoreCase("nvarchar(max)")
|| sqlType.equalsIgnoreCase("nvarchar") || sqlType.equalsIgnoreCase("nvarchar(ntext)")
|| sqlType.equalsIgnoreCase("uniqueidentifier") || sqlType.equalsIgnoreCase("xml")
|| sqlType.equalsIgnoreCase("char") || sqlType.equalsIgnoreCase("varchar(max)")
|| sqlType.equalsIgnoreCase("text") || sqlType.equalsIgnoreCase("varchar")) {
return "String";
} else if (sqlType.equalsIgnoreCase("real")) {
return "Float";
} else if (sqlType.equalsIgnoreCase("smallint") || sqlType.equalsIgnoreCase("tinyint")) {
return "Short";
} else if (sqlType.equalsIgnoreCase("date") || sqlType.equalsIgnoreCase("datetime")
|| sqlType.equalsIgnoreCase("time") || sqlType.equalsIgnoreCase("datetime2")) {
return "Date";
} else {
System.out.println("資料型別異常，型別為：" + sqlType);
}
return null;
}
/**
* 出口 TODO
*
* @param args
*/
public static void main(String[] args) {
new SqlHelper();
}
}補充知識：java通過反射獲取類名、屬性名稱以及@Table註解上的表名稱
我就廢話不多說了，大家還是直接看程式碼吧~
import javax.persistence.Column;
import javax.persistence.Id;
import javax.persistence.Table;
import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;
/**
* @author caizw
* @createDate 2018/2/8
* @description 反射工具類
*/
public class ReflectUtils {
/**
* 獲取實體類主鍵
*
* @param clazz
* @return
*/
public static Field getIdField(Class<?> clazz) {
Field[] fields = clazz.getDeclaredFields();
Field item = null;
for (Field field : fields) {
Id id = field.getAnnotation(Id.class);
if (id != null) {
field.setAccessible(true);
item = field;
break;
}
}
if (item == null) {
Class<?> superclass = clazz.getSuperclass();
if (superclass != null) {
item = getIdField(superclass);
}
}
return item;
}
/**
* 根據主鍵名稱獲取實體類主鍵屬性值
*
* @param clazz
* @param pkName
* @return
*/
public static Object getPkValueByName(Object clazz,String pkName) {
try {
String firstLetter = pkName.substring(0,1).toUpperCase();
String getter = "get" + firstLetter + pkName.substring(1);
Method method = clazz.getClass().getMethod(getter,new Class[]{});
Object value = method.invoke(clazz,new Object[]{});
return value;
} catch (Exception e) {
return null;
}
}
/**
* 通過反射將 class1不為空的值賦值給class2
*
* @param class1
* @param class2
* @throws Exception
*/
public static void reflectClass1ToClass2(Object class1,Object class2) throws Exception {
Field[] field = class1.getClass().getDeclaredFields();
for (int i = 0; i < field.length; i++) {
String name = field[i].getName();
if ("serialVersionUID".equals(name)) {
continue;
}
name = name.substring(0,1).toUpperCase() + name.substring(1);
Method m1 = class1.getClass().getMethod("get" + name);
Object value = m1.invoke(class1);
if (value != null) {
Field f = field[i];
f.setAccessible(true);
f.set(class2,value);
}
}
}
/**
* 獲取實體類 @Column 的其中一個屬性名稱
*
* @param clazz
* @return
*/
public static Map<String,String> getColumnName(Class<?> clazz) {
Map<String,String> map = new ConcurrentHashMap<>();
Field[] fields = clazz.getDeclaredFields();
for (Field field : fields) {
if (field.isAnnotationPresent(Column.class)) {
/**
* 獲取欄位名
*/
Column declaredAnnotation = field.getDeclaredAnnotation(Column.class);
String column = declaredAnnotation.name();
map.put("fieldNames",field.getName());
map.put("column",column);
break;
}
}
return map;
}
/**
* 通過獲取類上的@Table註解獲取表名稱
*
* @param clazz
* @return
*/
public static Map<String,String> getTableName(Class<?> clazz) {
Map<String,String> map = new ConcurrentHashMap<>();
Table annotation = clazz.getAnnotation(Table.class);
String name = annotation.name();
String className = clazz.getSimpleName();
map.put("tableName",name);
map.put("className",className);
return map;
}
}
以上這篇利用JAVA反射,自動生成對應實體類的操作就是小編分享給大家的全部內容了，希望能給大家一個參考，也希望大家多多支援我們。