随着微服务的出现，我们开发的效率比之前也快了很多，相比传统的开发模式，微服务提供的更加便捷，使我们开发人员开发速度有了很大的提高，为此我相比之前写的结合springcloud结合mybati实现增删改查。这一次写了一个纯注解方式来实现简单的增删改查。
创建一个父工程，也可以不创建 我主要是后面写的还有其它功能，不单单是一个简单的增删改查，所以需要一个父工程来管理
父工程的pom.xml 如下：
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<groupId>com.tensquare</groupId>
<artifactId>tensquare_parent</artifactId>
<version>0.0.1-SNAPSHOT</version>
<packaging>pom</packaging>
<name>springCloud</name>
<parent>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-parent</artifactId>
<version>2.0.1.RELEASE</version>
<relativePath/>
</parent>
<properties>
<project.build.sourceEncoding>UTF-8</project.build.sourceEncoding>
<project.reporting.outputEncoding>UTF-8</project.reporting.outputEncoding>
<java.version>1.8</java.version>
</properties>
<dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.cloud</groupId>
<artifactId>spring-cloud-dependencies</artifactId>
<version>Finchley.M9</version>
<type>pom</type>
<scope>import</scope>
</dependency>
</dependencies>
</dependencyManagement>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-web</artifactId>
</dependency>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-test</artifactId>
<scope>test</scope>
</dependency>
</dependencies>
<repositories>
<repository>
<id>spring-snapshots</id>
<name>SpringSnapshots</name>
<url>https://repo.spring.io/snapshot</url>
<snapshots>
<enabled>true</enabled>
</snapshots>
</repository>
<repository>
<id>spring-milestones</id>
<name>SpringMilestones</name>
<url>https://repo.spring.io/milestone</url>
<snapshots>
<enabled>false</enabled>
</snapshots>
</repository>
</repositories>
<pluginRepositories>
<pluginRepository>
<id>spring-snapshots</id>
<name>SpringSnapshots</name>
<url>https://repo.spring.io/snapshot</url>
<snapshots>
<enabled>true</enabled>
</snapshots>
</pluginRepository>
<pluginRepository>
<id>spring-milestones</id>
<name>SpringMilestones</name>
<url>https://repo.spring.io/milestone</url>
<snapshots>
<enabled>false</enabled>
</snapshots>
</pluginRepository>
</pluginRepositories>
<modules>
<module>springCloud_base</module>
</modules>
</project>在父工程下面在创建一个web项目。pom.xml如下：
<project xmlns="http://maven.apache.org/POM/4.0.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 http://maven.apache.org/xsd/maven-4.0.0.xsd">
<modelVersion>4.0.0</modelVersion>
<parent>
<groupId>com.tensquare</groupId>
<artifactId>springCloud</artifactId>
<version>0.0.1-SNAPSHOT</version>
</parent>
<artifactId>springCloud_base</artifactId>
<dependencies>
<dependency>
<groupId>org.springframework.boot</groupId>
<artifactId>spring-boot-starter-data-jpa</artifactId>
</dependency>
<dependency>
<groupId>mysql</groupId>
<artifactId>mysql-connector-java</artifactId>
</dependency>
</dependencies>
</project>建表脚本：
DROP DATABASE IF EXISTS "user" ;
CREATE TABLE `user` (
`id` INT(11) DEFAULT NULL,
`name` VARCHAR(255) DEFAULT NULL,
`age` INT(11) DEFAULT NULL
) ENGINE=INNODB DEFAULT CHARSET=utf8;
INSERT INTO `user` VALUES ('1', '张三', '22'), ('2', '李四', '23')，('3', '王五', '22'), ('4', '赵六', '23');
User对象
package com.csq.study;
@Entity
@Table(name="user")
public class User {
@Id
int id;
String name;
int age;
public int getId() {
return id;
}
public void setId(int id) {
this.id = id;
}
public String getName() {
return name;
}
public void setName(String name) {
this.name = name;
}
public int getAge() {
return age;
}
public void setAge(int age) {
this.age = age;
}
@Override
public String toString() {
return "User [id=" + id + ", name=" + name + ", age=" + age + "]";
}
}
Result 返回结果对象
public class Result {
private boolean flag;//是否成功
private Integer code;// 返回码
private String message;//返回信息
private Object data;// 返回数据
set/get ... 构造方法 略
}StatusCode 响应状态
public class StatusCode {
public static final int OK=20000;//成功
public static final int ERROR =20001;//失败
public static final int LOGINERROR =20002;//用户名或密码错误
public static final int ACCESSERROR =20003;//权限不足
public static final int REMOTEERROR =20004;//远程调用失败
public static final int REPERROR =20005;//重复操作
}utils 中的id生成工具类：
package util;
import java.lang.management.ManagementFactory;
import java.net.InetAddress;
import java.net.NetworkInterface;
/**
* <p>名称：IdWorker.java</p>
* <p>描述：分布式自增长ID</p>
* <pre>
* Twitter的 Snowflake JAVA实现方案
* </pre>
* 核心代码为其IdWorker这个类实现，其原理结构如下，我分别用一个0表示一位，用—分割开部分的作用：
* 1||0---0000000000 0000000000 0000000000 0000000000 0 --- 00000 ---00000 ---000000000000
* 在上面的字符串中，第一位为未使用（实际上也可作为long的符号位），接下来的41位为毫秒级时间，
* 然后5位datacenter标识位，5位机器ID（并不算标识符，实际是为线程标识），
* 然后12位该毫秒内的当前毫秒内的计数，加起来刚好64位，为一个Long型。
* 这样的好处是，整体上按照时间自增排序，并且整个分布式系统内不会产生ID碰撞（由datacenter和机器ID作区分），
* 并且效率较高，经测试，snowflake每秒能够产生26万ID左右，完全满足需要。
* <p>
* 64位ID (42(毫秒)+5(机器ID)+5(业务编码)+12(重复累加))
*
* @author Polim
*/
public class IdWorker {
// 时间起始标记点，作为基准，一般取系统的最近时间（一旦确定不能变动）
private final static long twepoch = 1288834974657L;
// 机器标识位数
private final static long workerIdBits = 5L;
// 数据中心标识位数
private final static long datacenterIdBits = 5L;
// 机器ID最大值
private final static long maxWorkerId = -1L ^ (-1L << workerIdBits);
// 数据中心ID最大值
private final static long maxDatacenterId = -1L ^ (-1L << datacenterIdBits);
// 毫秒内自增位
private final static long sequenceBits = 12L;
// 机器ID偏左移12位
private final static long workerIdShift = sequenceBits;
// 数据中心ID左移17位
private final static long datacenterIdShift = sequenceBits + workerIdBits;
// 时间毫秒左移22位
private final static long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits;
private final static long sequenceMask = -1L ^ (-1L << sequenceBits);
/* 上次生产id时间戳 */
private static long lastTimestamp = -1L;
// 0，并发控制
private long sequence = 0L;
private final long workerId;
// 数据标识id部分
private final long datacenterId;
public IdWorker(){
this.datacenterId = getDatacenterId(maxDatacenterId);
this.workerId = getMaxWorkerId(datacenterId, maxWorkerId);
}
/**
* @param workerId
* 工作机器ID
* @param datacenterId
* 序列号
*/
public IdWorker(long workerId, long datacenterId) {
if (workerId > maxWorkerId || workerId < 0) {
throw new IllegalArgumentException(String.format("worker Id can't be greater than %d or less than 0", maxWorkerId));
}
if (datacenterId > maxDatacenterId || datacenterId < 0) {
throw new IllegalArgumentException(String.format("datacenter Id can't be greater than %d or less than 0", maxDatacenterId));
}
this.workerId = workerId;
this.datacenterId = datacenterId;
}
/**
* 获取下一个ID
*
* @return
*/
public synchronized long nextId() {
long timestamp = timeGen();
if (timestamp < lastTimestamp) {
throw new RuntimeException(String.format("Clock moved backwards. Refusing to generate id for %d milliseconds", lastTimestamp - timestamp));
}
if (lastTimestamp == timestamp) {
// 当前毫秒内，则+1
sequence = (sequence + 1) & sequenceMask;
if (sequence == 0) {
// 当前毫秒内计数满了，则等待下一秒
timestamp = tilNextMillis(lastTimestamp);
}
} else {
sequence = 0L;
}
lastTimestamp = timestamp;
// ID偏移组合生成最终的ID，并返回ID
long nextId = ((timestamp - twepoch) << timestampLeftShift)
| (datacenterId << datacenterIdShift)
| (workerId << workerIdShift) | sequence;
return nextId;
}
private long tilNextMillis(final long lastTimestamp) {
long timestamp = this.timeGen();
while (timestamp <= lastTimestamp) {
timestamp = this.timeGen();
}
return timestamp;
}
private long timeGen() {
return System.currentTimeMillis();
}
/**
* <p>
* 获取 maxWorkerId
* </p>
*/
protected static long getMaxWorkerId(long datacenterId, long maxWorkerId) {
StringBuffer mpid = new StringBuffer();
mpid.append(datacenterId);
String name = ManagementFactory.getRuntimeMXBean().getName();
if (!name.isEmpty()) {
/*
* GET jvmPid
*/
mpid.append(name.split("@")[0]);
}
/*
* MAC + PID 的 hashcode 获取16个低位
*/
return (mpid.toString().hashCode() & 0xffff) % (maxWorkerId + 1);
}
/**
* <p>
* 数据标识id部分
* </p>
*/
protected static long getDatacenterId(long maxDatacenterId) {
long id = 0L;
try {
InetAddress ip = InetAddress.getLocalHost();
NetworkInterface network = NetworkInterface.getByInetAddress(ip);
if (network == null) {
id = 1L;
} else {
byte[] mac = network.getHardwareAddress();
id = ((0x000000FF & (long) mac[mac.length - 1])
| (0x0000FF00 & (((long) mac[mac.length - 2]) << 8))) >> 6;
id = id % (maxDatacenterId + 1);
}
} catch (Exception e) {
System.out.println(" getDatacenterId: " + e.getMessage());
}
return id;
}
}
Dao
dao
/**
* JpaRepository提供了基本的增删改查
JpaSpecificationExecutor用于做复杂的条件查询
* @author HUNI
*/
public interface UserDao extends JpaRepository<User, String>,
JpaSpecificationExecutor<User>{
}service层
@Service
public class UserService {
@Autowired
UserDao userDao;
@Autowired
IdWorker idWorker;
/**
* 查询全部
* @return
*/
public List<User> findAll(){
return userDao.findAll();
}
/**
* 根据Id查询
* @param id
* @return
*/
public User findById(String id){
return userDao.findById(id).get();
}
/**
* 增加标签
* @param user
*/
public void add(User user){
user.setId(idWorker.nextId()+"");
userDao.save(user);
}
/**
* 更新标签
* @param user
*/
public void update(User user){
userDao.save(user);
}
/**
* 删除标签
* @param id
*/
public void deteleById(String id){
userDao.deleteById(id);
}
}controller
@RestController
@RequestMapping("/user")
public class UserController {
@Autowired
private UserService userService;
@RequestMapping(method=RequestMethod.GET)
public Result findAll(){
Result result = new Result(true,StatusCode.OK,"查询成功",userService.findAll());
return result;
}
@RequestMapping(value="/{id}", method=RequestMethod.GET)
public Result findById(@PathVariable String id){
Result result = new Result(true,StatusCode.OK,"查询成功",userService.findById(id));
return result;
}
@RequestMapping(method=RequestMethod.POST)
public Result add(@RequestBody User user){
userService.add(user);
Result result = new Result(true,StatusCode.OK,"添加成功");
return result;
}
@RequestMapping(value="/{id}",method=RequestMethod.PUT)
public Result update(@RequestBody User user,@PathVariable String id){
user.setId(id);
userService.update(user);
Result result = new Result(true,StatusCode.OK,"修改成功");
return result;
}
@RequestMapping(value="/{id}", method=RequestMethod.DELETE)
public Result deleteById(@PathVariable String id){
userService.deteleById(id);
Result result = new Result(true,StatusCode.OK,"删除成功");
return result;
}
}快速启动类
@SpringBootApplication
public class BaseApplication {
public static void main(String[] args) {
SpringApplication.run(BaseApplication.class, args);
}
@Bean
public IdWorker idworker(){
return new IdWorker(1,1);
}
}配置文件application.yml
server:
port: 9001 #服务端口
spring:
application:
name: springCloud-base #服务名称
datasource:
driverClassName: com.mysql.jdbc.Driver
url: jdbc:mysql://localhost:3306/user #连接额数据库
username: root #数据库用户
password: root #数据库密码
jpa:
database: mysql
show‐sql: true
generate‐ddl: true使用postman测试结果 ，看是否正确
此处就不贴测试结果了，大家自己测试看看你写的是否可以跑的通。