day17 dbutils 和 jdbc 多表操作
Posted Spurs
tags:
篇首语:本文由小常识网(cha138.com)小编为大家整理,主要介绍了day17 dbutils 和 jdbc 多表操作相关的知识,希望对你有一定的参考价值。
- day17 dbutils 和 jdbc 多表操作
- 1. dbutils 框架简化 jdbc 开发
- 2. 用 dbutils 进行事务管理
- 3. jdbc 多表操作(1:n)
- 4. jdbc 多表操作(n:m)
- 5. web 树
Author:相忠良
Email: [email protected]
起始于:June 12, 2018
最后更新日期:June 15, 2018
声明:本笔记依据传智播客方立勋老师 Java Web 的授课视频内容记录而成,中间加入了自己的理解。本笔记目的是强化自己学习所用。若有疏漏或不当之处,请在评论区指出。谢谢。
涉及的图片,文档写完后,一次性更新。
1. dbutils 框架简化 jdbc 开发
commons-dbutils 是 Apache 组织提供的一个开源 JDBC工具类库,它是对JDBC的简单封装,学习成本极低,并且使用dbutils能极大简化jdbc编码的工作量,同时也不会影响程序的性能。因此dbutils成为很多不喜欢hibernate的公司的首选。
API介绍:
org.apache.commons.dbutils.QueryRunner
提供了 update(增删改) 和 query(查询)org.apache.commons.dbutils.ResultSetHandler
工具类
org.apache.commons.dbutils.DbUtils
本节工程准备:
- 建立 day17 java 工程;
- 建立 lib,导入 jar 包并变奶瓶:
mysql-connector-java-5.0.8-bin.jar commons-dbcp-1.2.2.jar commons-pool.jar commons-dbutils-1.2.jar
; - src下建立
dbcpconfig.properties
(该配置文件内容下面有)供创建连接池的工具 dbcp 所使用。 - 创建
cn.wk.utils.JdbcUtils
用来创建连接池。
dbcpconfig.properties如下:
driverClassName=com.mysql.jdbc.Driver
url=jdbc:mysql://localhost:3306/day17
username=root
password=root
initialSize=10
maxActive=50
maxIdle=20
minIdle=5
maxWait=60000
connectionProperties=useUnicode=true;characterEncoding=utf8
defaultAutoCommit=true
defaultReadOnly=
defaultTransactionIsolation=READ_COMMITTED
cn.wk.utils.JdbcUtils
创建连接池的工具类如下:
package cn.wk.utils;
import java.io.InputStream;
import java.util.Properties;
import javax.sql.DataSource;
import org.apache.commons.dbcp.BasicDataSourceFactory;
public class JdbcUtils {
// 创建连接池
private static DataSource ds;
static {
try {
Properties prop = new Properties();
InputStream in = JdbcUtils.class.getClassLoader()
.getResourceAsStream("dbcpconfig.properties");
prop.load(in);
BasicDataSourceFactory factory = new BasicDataSourceFactory();
ds = factory.createDataSource(prop);
} catch (Exception e) {
throw new ExceptionInInitializerError(e);
}
}
public static DataSource getDataSource(){return ds;}
// dbutils 框架会自动帮我们释放链接,所以不用写 release 方法
}
day17工程到此已完全准备妥当,开始下面的实验啦。
为模拟将数据库取出的user数据封装到bean中,所以先建一个cn.wk.domain.User
,如下:
package cn.wk.domain;
import java.util.Date;
public class User {
private int id;
private String name;
private String password;
private String email;
private Date birthday;
// 后面的getter和setter方法省略
}
用 dbutils 完成 crud 的例子:
package cn.wk.dbutils.demo;
import java.sql.SQLException;
import java.util.Date;
import java.util.List;
import org.apache.commons.dbutils.QueryRunner;
import org.apache.commons.dbutils.handlers.BeanHandler;
import org.apache.commons.dbutils.handlers.BeanListHandler;
import org.junit.Test;
import cn.wk.domain.User;
import cn.wk.utils.JdbcUtils;
public class Demo1 {
/*
create database day17;
use day17;
create table users(
id int primary key,
name varchar(40),
password varchar(40),
email varchar(60),
birthday date
);
*/
// 使用 dbtuils 完成数据库的 crud
@Test
public void insert() throws SQLException {
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
String sql = "insert into users(id,name,password,email,birthday) values(?,?,?,?,?)";
Object params[] = { 2, "bbb", "123", "[email protected]", new Date() };
runner.update(sql, params);
}
@Test
public void update() throws SQLException {
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
String sql = "update users set email=? where id=?";
Object params[] = { "[email protected]", 1 };
runner.update(sql, params);
}
@Test
public void delete() throws SQLException {
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
String sql = "delete from users where id=?";
runner.update(sql, 1);
}
@Test
public void find() throws SQLException {
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
String sql = "select * from users where id=?";
User user = (User) runner.query(sql, 1, new BeanHandler(User.class));
System.out.println(user.getEmail());
}
@Test
public void getAll() throws SQLException {
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
String sql = "select * from users";
List list = (List) runner.query(sql, new BeanListHandler(User.class));
System.out.println(list);
}
@Test
// 用 dbutils 作批处理
public void batch() throws SQLException {
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
String sql = "insert into users(id,name,password,email,birthday) values(?,?,?,?,?)";
Object params[][] = new Object[3][5];
for (int i = 0; i < params.length; i++) { // 3条记录
params[i] = new Object[] { i + 1, "aa" + i, "123", i + "@sina.com",
new Date() };
}
runner.batch(sql, params);
}
}
1.1 ResultSetHandler 接口的实现类
ResultSetHandler 接口的实现类:
- ArrayHandler:把结果集中的第一行数据转成对象数组;
- ArrayListHandler:把结果集中的每一行数据都转成一个数组,再存放到List中;
- BeanHandler:将结果集中的第一行数据封装到一个对应的JavaBean实例中;
- BeanListHandler:将结果集中的每一行数据都封装到一个对应的JavaBean实例中,存放到List里;
- ColumnListHandler:将结果集中某一列的数据存放到List中;
- KeyedHandler(name):将结果集中的每一行数据都封装到一个Map里,再把这些map再存到一个map里,其key为指定的key;
- MapHandler:将结果集中的第一行数据封装到一个Map里,key是列名,value就是对应的值;
- MapListHandler:将结果集中的每一行数据都封装到一个Map里,然后再存放到List;
- ScalarHandler:将结果集的某列转成一个对象(标量)。
2. 用 dbutils 进行事务管理
准备:
把一下sql语句在day17数据库中执行。
create table account(
id int primary key auto_increment,
name varchar(40),
money float
)character set utf8 collate utf8_general_ci;
insert into account(name,money) values(‘aaa‘,1000);
insert into account(name,money) values(‘bbb‘,1000);
insert into account(name,money) values(‘ccc‘,1000);
使用 dbutils 管理事务的完整案例代码:
JdbcUtils 增加了 getConnection() 方法,如下:
public class JdbcUtils {
// 创建连接池
private static DataSource ds;
static {
try {
Properties prop = new Properties();
InputStream in = JdbcUtils.class.getClassLoader()
.getResourceAsStream("dbcpconfig.properties");
prop.load(in);
BasicDataSourceFactory factory = new BasicDataSourceFactory();
ds = factory.createDataSource(prop);
} catch (Exception e) {throw new ExceptionInInitializerError(e);}
}
public static DataSource getDataSource() {
return ds;
}
// dbutils 框架会自动帮我们释放链接,所以不用写 release 方法
public static Connection getConnection() throws SQLException {
return ds.getConnection();
}
}
dbutils 管理事务例子:
public class AccountDao {
// 从 a-->b账户 转100元
public void transfer() throws SQLException {
Connection conn = null;
try {
conn = JdbcUtils.getConnection();
conn.setAutoCommit(false); // 设置开启事务
QueryRunner runner = new QueryRunner();
String sql1 = "update account set money=money-100 where name=‘aaa‘";
runner.update(conn, sql1); // 用开启了事务的 conn 去执行 sql
String sql2 = "update account set money=money+100 where name=‘bbb‘";
runner.update(conn, sql2);
conn.commit();
} finally {if (conn != null) conn.close();}
}
}
但 dao 层不应有上述这样的 transfer 方法(包含了业务逻辑,违背了mvc),dao 应只有增删改查。下节介绍正常开发中怎样做转账。
2.1 正常开发中的转账实现
先弄个 Account 的 bean:
package cn.wk.domain;
public class Account {
private int id;
private String name;
private double money;
// getter,setter省略
}
AccountDao 加上下面2方法:
public class AccountDao {
public AccountDao() {super();}
private Connection conn;
public AccountDao(Connection conn) { // 由外界提供统一的一个 conn
this.conn = conn;
}
public void update(Account a) {
try {
QueryRunner runner = new QueryRunner();
String sql = "update account set money=? where id=?";
Object params[] = { a.getMoney(), a.getId() };
runner.update(conn, sql, params);
} catch (Exception e) {
throw new RuntimeException(e);
}
}
public Account find(int id) {
try {
QueryRunner runner = new QueryRunner();
String sql = "select * from account where id=?";
return (Account) runner.query(conn, sql, id, new BeanHandler(
Account.class));
} catch (Exception e) {
throw new RuntimeException(e);
}
}
}
cn.wk.service.BusinessService
对 web 层提供转账服务:
public class BusinessService {
@Test
public void test() throws SQLException {
transfer(1, 2, 100);
}
public void transfer(int sourceid, int targetid, double money)
throws SQLException {
Connection conn = null;
try {
conn = JdbcUtils.getConnection();
conn.setAutoCommit(false); // 开启事务
AccountDao dao = new AccountDao(conn); // <-- 把 conn 传进去啦
Account a = dao.find(sourceid); // select
Account b = dao.find(targetid); // select
a.setMoney(a.getMoney() - money);
b.setMoney(b.getMoney() + money);
dao.update(a); // update
// int aa = 1/0;
dao.update(b); // update 得作为整体执行
conn.commit(); // 提交事务
} finally {if (conn != null) conn.close();}
}
}
service 层只有这样写,才保证转账操作用的是同一个 connection 并用事务去完成!
同时注意到 dao 层已经被改造,dao 层通过有参构造函数,传入了一个 service 层提供的一个已经开启了事务的 connection!
2.2 ThreadLocal - 线程范围内共享数据
方立勋老师叨叨了半天,竟说上面的方法不优雅~!!!
他说优雅的解决方式是用spring或 ThreadLocal 类去解决。
ThreadLocal 的使用可以使我们在线程范围内共享数据。
ThreadLocal 就是一个 key = thread 的 map 容器。
接下来,才是这伙计讲的重点,我的天啊~! (略...)
3. jdbc 多表操作(1:n)
准备2个bean,如下:
package cn.wk.domain;
public class Department {
private String id;
private String name;
private Set employees = new HashSet(); //看是否有显示需求,若无则删除这个
// getter setter...
}
package cn.wk.domain;
public class Employee {
private String id;
private String name;
private double salary;
private String department_id;
// getter setter...
}
数据库创建2表:
use day17;
create table department(
id varchar(40) primary key,
name varchar(40)
);
create table employee(
id varchar(40) primary key,
name varchar(40),
salary double,
department_id varchar(40),
constraint department_id_FK foreign key(department_id) references department(id)
);
多表查询的一个dao:
public class DepartmentDao {
public void add(Department d) throws SQLException {
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
// 1. 把 department 对象插入 department 表
String sql = "insert into department(id,name) values(?,?)";
Object params[] = { d.getId(), d.getName() };
runner.update(sql, params);
// 2. 把department 对象中的员工们插入到 employee 表
Set<Employee> set = d.getEmployees();
for (Employee e : set) {
sql = "insert into employee(id,name,salary,department_id) values(?,?,?,?)";
params = new Object[] { e.getId(), e.getName(), e.getSalary(),
d.getId() };
runner.update(sql, params);
}
}
public Department find(String id) throws SQLException{
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
//1.找部门表,查出部门的基本信息
String sql = "select * from department where id=?";
Department d = (Department) runner.query(sql, id, new BeanHandler(Department.class));
//2.找员工表,找出部门下面所有员工
sql = "select * from employee where department_id=?";
List list = (List) runner.query(sql, id, new BeanListHandler(Employee.class));
d.getEmployees().addAll(list);
return d;
}
}
多表查询的测试:
public class BService {
@Test
public void add() throws SQLException{
Department d = new Department();
d.setId("1");
d.setName("开发部");
Employee e1 = new Employee();
e1.setId("1");
e1.setName("aa");
e1.setSalary(10000);
Employee e2 = new Employee();
e2.setId("2");
e2.setName("bb");
e2.setSalary(10000);
d.getEmployees().add(e1);
d.getEmployees().add(e2);
DepartmentDao dao = new DepartmentDao();
dao.add(d);
}
@Test
public void find() throws SQLException{
DepartmentDao dao = new DepartmentDao();
Department d = dao.find("1");
System.out.println(d);
}
}
方立勋说:1对多能不用就不用。因为若1中记多,太多了内存崩。
需求让你1必须记住多,那就得设计,否则不必设计。
例如:订单必须显示订单项,但部门不显示员工。
3.1 jdbc 多表操作 - 级联
级联删除有好几种呢。
- 删部门表记录,对应员工部门号清空 on delete set null;
- 删部门表记录,也删除对应员工 on delete cascade;
- 还有,用时再查。
create table employee(
id varchar(40) primary key,
name varchar(40),
salary double,
department_id varchar(40),
constraint department_id_FK foreign key(department_id) references department(id)
);
// 修改员工表的外键约束
alter table employee drop foreign key department_id_FK;
alter table employee add constraint department_id_FK foreign key(department_id) references department(id) on delete set null;
dao的删除方法
public void delete(String id) throws SQLException{
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
String sql = "delete from department where id=?";
runner.update(sql, id);
}
级联删除测试:
@Test
public void delete() throws SQLException{
DepartmentDao dao = new DepartmentDao();
dao.delete("1");
}
4. jdbc 多表操作(n:m)
准备老师和学生bean和表,他们是 n:m 的关系。
public class Student {
private String id;
private String name;
private Set teachers = new HashSet();
// getter setter...
}
public class Teacher {
private String id;
private String name;
private double salary;
private Set students = new HashSet();
// getter setter...
}
数据库生3表:
use day17;
create table teacher(
id varchar(40) primary key,
name varchar(40),
salary double
);
create table student(
id varchar(40) primary key,
name varchar(40)
);
create table teacher_student(
teacher_id varchar(40),
student_id varchar(40),
primary key(teacher_id,student_id),
constraint teacher_id_FK foreign key(teacher_id) references teacher(id),
constraint student_id_FK foreign key(student_id) references student(id)
);
操作多表dao:
public class TeacherDao {
public void add(Teacher t) throws SQLException {
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
//1`.取出老师存老师表
String sql = "insert into teacher(id,name,salary) values(?,?,?)";
Object params[] = {t.getId(),t.getName(),t.getSalary()};
runner.update(sql, params);
//2.取出老师所有学生的数据,存学生表
Set<Student> set = t.getStudents();
for(Student s : set){
sql = "insert into student(id,name) values(?,?)";
params = new Object[]{s.getId(),s.getName()};
runner.update(sql, params);
//3.更新中间表,说明老师和学生的关系
sql = "insert into teacher_student(teacher_id,student_id) values(?,?)";
params = new Object[]{t.getId(),s.getId()};
runner.update(sql, params);
}
}
public Teacher find(String id) throws SQLException{
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
//1.找老师表,找出老师的基本信息
String sql = "select * from teacher where id=?";
Teacher t = (Teacher) runner.query(sql, id, new BeanHandler(Teacher.class));
//2.找出老师的所有学生
sql = "select s.* from teacher_student ts,student s where ts.teacher_id=? and ts.student_id=s.id";
List list = (List) runner.query(sql, id, new BeanListHandler(Student.class));
t.getStudents().addAll(list);
return t;
}
public void delete(String id){
QueryRunner runner = new QueryRunner(JdbcUtils.getDataSource());
String sql = "delete from teacher where id=?";
// 未完成
}
}
测试:
@Test
public void addTeacher() throws SQLException {
Teacher t = new Teacher();
t.setId("1");
t.setName("二麻子");
t.setSalary(100000);
Student s1 = new Student();
s1.setId("1");
s1.setName("aa");
Student s2 = new Student();
s2.setId("2");
s2.setName("bb");
t.getStudents().add(s1);
t.getStudents().add(s2);
TeacherDao dao = new TeacherDao();
dao.add(t);
}
@Test
public void findTeacher() throws SQLException{
TeacherDao dao = new TeacherDao();
Teacher t = dao.find("1");
System.out.println(t);
}
5. web 树
无限级分类树,通过树状数据结构设计,建了个数据库表,从而避免了递归。
剩下内容略。
以上是关于day17 dbutils 和 jdbc 多表操作的主要内容,如果未能解决你的问题,请参考以下文章