SQLite,是一款轻量级的关系型数据库，Android原生集成的一个数据库。具有轻量级、独立性、隔离性、安全性等特点。是Android做数据存储的必备知识之一。

　　在实际的项目中，我们常用于一些对象的存储以及检索。曾经做过一个餐饮点餐系统，就是需要把所有的菜谱、分类等基础数据做本地缓存，这个时候如果你用上章介绍的SharedPreferences，简直就疯掉了。

数据需要做排序、筛选、检索、分页获取等。这个时候就是Sqlite的长处了。跟上章一样，不会有介绍基础的api使用，直接介绍Base里面应用的Sqlite Orm操作框架，如何高效、灵活的使用Sqlite。

先上一段在网上找的sqlite代码片段。

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" alt="" />

似乎还不错，操作student对象。也封装了insert update等的操作。但是实际业务的app迭代开发，常由于业务需要，变化很大。假如此时student多了一个phone的属性，怎么破呢？

假设业务需求，又有老师的对象要加入，把代码拷贝一份么？好吧，大家自己想象。另外不建议在activity层自己出现原生的sql 语句操作，这样耦合度太高了。接下来SQLite orm就派上用场了，同样，先上一段代码。

public void example(){
   UserDao userDao=new UserDao(mContext);
   //craete user
   User user=new User();
   userDao.insert(user);
   //update user
   userDao.update(user);
   //select user
   user=userDao.get("id");
   List<User> userList=userDao.find();
   //delete
   userDao.delete();
}

有人要说了你的UserDao是什么，不会也是上面的InserData()方法集合吧？上下UserDao类。
public class UserDao extends TemplateDAO<User> {

   public UserDao(Context context) {
      super(new DBHelper(context));
   }
}
问题关键来了TemplateDAO，是一个泛型类，也是整个Orm框架的核心。使用了java里面的标注 反射技术、泛型技术。下面先给大家看下User类。
 @SimpleTable(name = "t_user")

 public class User implements Serializable {

    private static final long serialVersionUID = 2365701157715369155L;

    public static Integer REMBER_PASSWORD = 1;

    public static Integer AUTO_LOGIN = 1;

    @SimpleId

    @SimpleColumn(name = "userId")

    private String userId;// 用户id

    @SimpleColumn(name = "password")

    private String password;// 密码

    @SimpleColumn(name = "createDate")

    private String createDate;// 创建时间

    @SimpleColumn(name = "headerPic")

    private String headerPic;// 头像图片路径

    @SimpleColumn(name = "nickName")

    private String nickName;// 昵称

    @SimpleColumn(name = "syllabusPic")

    private String syllabusPic;// 课程表图片

    @SimpleColumn(name = "userName")

    private String userName;// 用户名

    @SimpleColumn(name = "email")

    private String email;// 邮箱地址

    @SimpleColumn(name = "mobile")

    private String mobile;// 手机号

    @SimpleColumn(name = "remberPassword")

    private Integer remberPassword;// 记住密码 1：记住，其它不记住

    @SimpleColumn(name = "autoLogin")

    private Integer autoLogin; // 自动登陆 1：自动登陆，其它不登陆

    @SimpleColumn(name = "type")

    private Integer type; // 1个人 2企业

    @SimpleColumn(name = "deptId")

    private Integer deptId;

    @SimpleColumn(name = "freeReadCount")

    private String freeReadCount;

    @SimpleColumn(name = "remark")

    private String remark;

    @SimpleColumn(name = "remainingSum")

    private String remainingSum;

    @SimpleColumn(name = "userToken")

    private String userToken;

 }

User

这就是Java里面的标注，@SimpleId标注了主键，@SimpleColumn标注了字段，TemplateDAO里面会根据反射自动生成数据表，并提供基础的增删改查，hql查询方法。上下关键的TemplateDAO类。
 public class TemplateDAO<T> implements BaseDao<T> {

     private String TAG = "SimpleSqlite";

     private SQLiteOpenHelper dbHelper;

     private String tableName;

     private String idColumn;

     private Class<T> clazz;

     private List<Field> allFields;

     public TemplateDAO(SQLiteOpenHelper dbHelper) {

         this.dbHelper = dbHelper;

         this.clazz = (Class)((ParameterizedType)super.getClass().getGenericSuperclass()).getActualTypeArguments()[0];

         if(this.clazz.isAnnotationPresent(SimpleTable.class)) {

             SimpleTable field = (SimpleTable)this.clazz.getAnnotation(SimpleTable.class);

             this.tableName = field.name();

         }

         this.allFields = TableHelper.joinFields(this.clazz.getDeclaredFields(), this.clazz.getSuperclass().getDeclaredFields());

         Iterator var3 = this.allFields.iterator();

         while(var3.hasNext()) {

             Field field1 = (Field)var3.next();

             if(field1.isAnnotationPresent(SimpleId.class)) {

                 SimpleColumn column = (SimpleColumn)field1.getAnnotation(SimpleColumn.class);

                 this.idColumn = column.name();

                 break;

             }

         }

         Log.d(this.TAG, "clazz:" + this.clazz + " tableName:" + this.tableName + " idColumn:" + this.idColumn);

     }

     public SQLiteOpenHelper getDbHelper() {

         return this.dbHelper;

     }

     public T get(int id) {

         String selection = this.idColumn + " = ?";

         String[] selectionArgs = new String[]{Integer.toString(id)};

         Log.d(this.TAG, "[get]: select * from " + this.tableName + " where " + this.idColumn + " = \'" + id + "\'");

         List list = this.find((String[])null, selection, selectionArgs, (String)null, (String)null, (String)null, (String)null);

         return list != null && list.size() > 0?list.get(0):null;

     }

     public T get(String id) {

         String selection = this.idColumn + " = ?";

         String[] selectionArgs = new String[]{id};

         Log.d(this.TAG, "[get]: select * from " + this.tableName + " where " + this.idColumn + " = \'" + id + "\'");

         List list = this.find((String[])null, selection, selectionArgs, (String)null, (String)null, (String)null, (String)null);

         return list != null && list.size() > 0?list.get(0):null;

     }

     public List<T> rawQuery(String sql, String[] selectionArgs) {

         Log.d(this.TAG, "[rawQuery]: " + sql);

         ArrayList list = new ArrayList();

         SQLiteDatabase db = null;

         Cursor cursor = null;

         try {

             db = this.dbHelper.getReadableDatabase();

             cursor = db.rawQuery(sql, selectionArgs);

             this.getListFromCursor(list, cursor);

         } catch (Exception var10) {

             Log.e(this.TAG, "[rawQuery] from DB Exception.");

             var10.printStackTrace();

         } finally {

             if(cursor != null) {

                 cursor.close();

             }

             if(db != null) {

                 db.close();

             }

         }

         return list;

     }

     public boolean isExist(String sql, String[] selectionArgs) {

         Log.d(this.TAG, "[isExist]: " + sql);

         SQLiteDatabase db = null;

         Cursor cursor = null;

         try {

             db = this.dbHelper.getReadableDatabase();

             cursor = db.rawQuery(sql, selectionArgs);

             if(cursor.getCount() <= 0) {

                 return false;

             }

         } catch (Exception var9) {

             Log.e(this.TAG, "[isExist] from DB Exception.");

             var9.printStackTrace();

             return false;

         } finally {

             if(cursor != null) {

                 cursor.close();

             }

             if(db != null) {

                 db.close();

             }

         }

         return true;

     }

     public List<T> find() {

         return this.find((String[])null, (String)null, (String[])null, (String)null, (String)null, (String)null, (String)null);

     }

     public List<T> find(String[] columns, String selection, String[] selectionArgs, String groupBy, String having, String orderBy, String limit) {

         Log.d(this.TAG, "[find]");

         ArrayList list = new ArrayList();

         SQLiteDatabase db = null;

         Cursor cursor = null;

         try {

             db = this.dbHelper.getReadableDatabase();

             cursor = db.query(this.tableName, columns, selection, selectionArgs, groupBy, having, orderBy, limit);

             this.getListFromCursor(list, cursor);

         } catch (Exception var15) {

             Log.e(this.TAG, "[find] from DB Exception");

             var15.printStackTrace();

         } finally {

             if(cursor != null) {

                 cursor.close();

             }

             if(db != null) {

                 db.close();

             }

         }

         return list;

     }

     private void getListFromCursor(List<T> list, Cursor cursor) throws IllegalAccessException, InstantiationException {

         label77:

         while(cursor.moveToNext()) {

             Object entity = this.clazz.newInstance();

             Iterator var5 = this.allFields.iterator();

             while(true) {

                 while(true) {

                     while(true) {

                         Field field;

                         Class fieldType;

                         int c;

                         do {

                             SimpleColumn column;

                             do {

                                 if(!var5.hasNext()) {

                                     list.add(entity);

                                     continue label77;

                                 }

                                 field = (Field)var5.next();

                                 column = null;

                             } while(!field.isAnnotationPresent(SimpleColumn.class));

                             column = (SimpleColumn)field.getAnnotation(SimpleColumn.class);

                             field.setAccessible(true);

                             fieldType = field.getType();

                             c = cursor.getColumnIndex(column.name());

                         } while(c < 0);

                         if(Integer.TYPE != fieldType && Integer.class != fieldType) {

                             if(String.class == fieldType) {

                                 field.set(entity, cursor.getString(c));

                             } else if(Long.TYPE != fieldType && Long.class != fieldType) {

                                 if(Float.TYPE != fieldType && Float.class != fieldType) {

                                     if(Short.TYPE != fieldType && Short.class != fieldType) {

                                         if(Double.TYPE != fieldType && Double.class != fieldType) {

                                             if(Blob.class == fieldType) {

                                                 field.set(entity, cursor.getBlob(c));

                                             } else if(Character.TYPE == fieldType) {

                                                 String fieldValue = cursor.getString(c);

                                                 if(fieldValue != null && fieldValue.length() > 0) {     

  　　　　　　　　　　　　　　　　　　　　　　　　　　  field.set(entity, Character.valueOf(fieldValue.charAt(0)));

                                             }

                                         }

                                     } else {

                                         field.set(entity, Double.valueOf(cursor.getDouble(c)));

                                     }

                                 } else {

                                     field.set(entity, Short.valueOf(cursor.getShort(c)));

                                 }

                             } else {

                                 field.set(entity, Float.valueOf(cursor.getFloat(c)));

                             }

                         } else {

                             field.set(entity, Long.valueOf(cursor.getLong(c)));

                         }

                     } else {

                         field.set(entity, Integer.valueOf(cursor.getInt(c)));

                     }

                 }

             }

         }

     }

 }

 public long insert(T entity) {

     Log.d(this.TAG, "[insert]: inset into " + this.tableName + " " + entity.toString());

     SQLiteDatabase db = null;

     try {

         db = this.dbHelper.getWritableDatabase();

         ContentValues e = new ContentValues();

         this.setContentValues(entity, e, "create");

         long row = db.insert(this.tableName, (String)null, e);

         long var7 = row;

         return var7;

     } catch (Exception var11) {

         Log.d(this.TAG, "[insert] into DB Exception.");

         var11.printStackTrace();

     } finally {

         if(db != null) {

             db.close();

         }

     }

     return 0L;

 }

 public void delete(int id) {

     SQLiteDatabase db = this.dbHelper.getWritableDatabase();

     String where = this.idColumn + " = ?";

     String[] whereValue = new String[]{Integer.toString(id)};

     Log.d(this.TAG, "[delete]: delelte from " + this.tableName + " where " + where.replace("?", String.valueOf(id)));

     db.delete(this.tableName, where, whereValue);

     db.close();

 }

 public void delete(String id) {

     this.delete(Integer.parseInt(id));

 }

 public void delete(String where, String[] whereValue) {

     SQLiteDatabase db = this.dbHelper.getWritableDatabase();

     Log.d(this.TAG, "[delete]: delelte from " + this.tableName + " where " + where + "=" + whereValue);

     db.delete(this.tableName, where, whereValue);

     db.close();

 }

 public void delete() {

     SQLiteDatabase db = this.dbHelper.getWritableDatabase();

     db.delete(this.tableName, (String)null, (String[])null);

     db.close();

 }

 public void delete(Integer... ids) {

     if(ids.length > 0) {

         StringBuffer sb = new StringBuffer();

         for(int db = 0; db < ids.length; ++db) {

             sb.append('?').append(',');

         }

         sb.deleteCharAt(sb.length() - 1);

         SQLiteDatabase var5 = this.dbHelper.getWritableDatabase();

         String sql = "delete from " + this.tableName + " where " + this.idColumn + " in (" + sb + ")";

         Log.d(this.TAG, "[delete]: " + sql);

         var5.execSQL(sql, ids);

         var5.close();

     }

 }

 public void delete(String... ids) {

     if(ids.length > 0) {

         StringBuffer sb = new StringBuffer();

         for(int db = 0; db < ids.length; ++db) {

             sb.append('?').append(',');

         }

         sb.deleteCharAt(sb.length() - 1);

         SQLiteDatabase var5 = this.dbHelper.getWritableDatabase();

         String sql = "delete from " + this.tableName + " where " + this.idColumn + " in (" + sb + ")";

         Log.d(this.TAG, "[delete]: " + sql);

         var5.execSQL(sql, ids);

         var5.close();

     }

 }

 　public void update(T entity) {

     SQLiteDatabase db = null;

     try {

         db = this.dbHelper.getWritableDatabase();

         ContentValues e = new ContentValues();

         this.setContentValues(entity, e, "update");

         String where = this.idColumn + " = ?";

         String id = e.get(this.idColumn).toString().trim();

         e.remove(this.idColumn);

         Log.d(this.TAG, "[update]: update " + this.tableName + " where " + where.replace("?", id));

         String[] whereValue = new String[]{id};

         db.update(this.tableName, e, where, whereValue);

     } catch (Exception var10) {

         Log.d(this.TAG, "[update] DB Exception.");

         var10.printStackTrace();

     } finally {

         if(db != null) {

             db.close();

         }

     }

 }

 　　private void setContentValues(T entity, ContentValues cv, String type) throws IllegalAccessException {

         Iterator var5 = this.allFields.iterator();

         while(true) {

             Field field;

             SimpleColumn column;

             Object fieldValue;

             SimpleId id;

             do {

                 do {

                     do {

                         if(!var5.hasNext()) {

                             return;

                         }

                         field = (Field)var5.next();

                     } while(!field.isAnnotationPresent(SimpleColumn.class));

                     column = (SimpleColumn)field.getAnnotation(SimpleColumn.class);

                     field.setAccessible(true);

                     fieldValue = field.get(entity);

                 } while(fieldValue == null);

                 id = (SimpleId)field.getAnnotation(SimpleId.class);

             } while("create".equals(type) && field.isAnnotationPresent(SimpleId.class) && id != null && id.auto());

             cv.put(column.name(), fieldValue.toString());

         }

     }

     public List<Map<String, String>> query2MapList(String sql, String[] selectionArgs) {

         Log.d(this.TAG, "[query2MapList]: " + sql);

         SQLiteDatabase db = null;

         Cursor cursor = null;

         ArrayList retList = new ArrayList();

         try {

             db = this.dbHelper.getReadableDatabase();

             cursor = db.rawQuery(sql, selectionArgs);

             while(cursor.moveToNext()) {

                 HashMap e = new HashMap();

                 String[] var10;

                 int var9 = (var10 = cursor.getColumnNames()).length;

                 for(int var8 = 0; var8 < var9; ++var8) {

                     String columnName = var10[var8];

                     e.put(columnName.toLowerCase(), cursor.getString(cursor.getColumnIndex(columnName)));

                 }

                 retList.add(e);

             }

         } catch (Exception var14) {

             Log.e(this.TAG, "[query2MapList] from DB exception");

             var14.printStackTrace();

         } finally {

             if(cursor != null) {

                 cursor.close();

             }

             if(db != null) {

                 db.close();

             }

         }

         return retList;

     }

     public void execSql(String sql, Object[] selectionArgs) {

         SQLiteDatabase db = null;

         Log.d(this.TAG, "[execSql]: " + sql);

         try {

             db = this.dbHelper.getWritableDatabase();

             if(selectionArgs == null) {

                 db.execSQL(sql);

             } else {

                 db.execSQL(sql, selectionArgs);

             }

         } catch (Exception var8) {

             Log.e(this.TAG, "[execSql] DB exception.");

             var8.printStackTrace();

         } finally {

             if(db != null) {

                 db.close();

             }

         }

     }

 }

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