java实现将json数据存到mysql数据库
【代码】java实现将json数据存到mysql数据库。
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package com.shisuodata;
import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.JSONArray;
import java.io.*;
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.SQLException;
import java.sql.Statement;
import java.util.List;
import java.util.Map;
public class ProcessJson {
public static void main(String[] args) throws IOException {
File file = new File("D:\\十所\\【公开】标注数据汇总\\json\\train.json");
FileReader fr = new FileReader(file);
BufferedReader br = new BufferedReader(fr);
String text = null;
try {
//调用Class.forName()方法加载驱动程序
Class.forName("com.mysql.cj.jdbc.Driver");
System.out.println("成功加载MySQL驱动!");
} catch (ClassNotFoundException e1) {
System.out.println("找不到MySQL驱动!");
e1.printStackTrace();
}
String url = "jdbc:mysql://localhost:3306/shisuo?serverTimezone=Asia/Shanghai&useUnicode=true&characterEncoding=utf-8&zeroDateTimeBehavior=convertToNull&useSSL=false&allowPublicKeyRetrieval=true"; //JDBC的URL
//调用DriverManager对象的getConnection()方法,获得一个Connection对象
Connection conn;
try {
conn = DriverManager.getConnection(url, "root", "852654");
//创建一个Statement对象
Statement stmt = conn.createStatement(); //创建Statement对象
System.out.print("成功连接到数据库!");
/*
//创建表
String sql = "create table all_data(\n" +
"\tid BIGINT,\n" +
"\ttext text\n" +
") engine=innodb default charset=utf8;";
stmt.execute(sql);//执行sql*/
//逐行读取文件内数据,并写入数据库
while ((text = br.readLine()) != null) {
//获取数据
Map<String, Object> map = JSON.parseObject(text, Map.class);
//生成id
SnowflakeIdWorker idworker=new SnowflakeIdWorker(0,0);
long id=idworker.nextId();
String sql="insert into all_data values ("+id+",\""+map.get("text")+"\");";
System.out.println(sql);
stmt.execute(sql);
}
System.out.println("sql执行完成!");
stmt.close();
conn.close();
} catch (SQLException e) {
e.printStackTrace();
}
br.close();
fr.close();
}
}
package com.shisuodata;
public class SnowflakeIdWorker {
/**
*雪花算法随机生成id
*/
// ==============================Fields===========================================
/**
* 开始时间截 (2015-01-01)
*/
private final long twepoch = 1420041600000L;
/**
* 机器id所占的位数
*/
private final long workerIdBits = 5L;
/**
* 数据标识id所占的位数
*/
private final long datacenterIdBits = 5L;
/**
* 支持的最大机器id,结果是31 (这个移位算法可以很快的计算出几位二进制数所能表示的最大十进制数)
*/
private final long maxWorkerId = -1L ^ (-1L << workerIdBits);
/**
* 支持的最大数据标识id,结果是31
*/
private final long maxDatacenterId = -1L ^ (-1L << datacenterIdBits);
/**
* 序列在id中占的位数
*/
private final long sequenceBits = 12L;
/**
* 机器ID向左移12位
*/
private final long workerIdShift = sequenceBits;
/**
* 数据标识id向左移17位(12+5)
*/
private final long datacenterIdShift = sequenceBits + workerIdBits;
/**
* 时间截向左移22位(5+5+12)
*/
private final long timestampLeftShift = sequenceBits + workerIdBits + datacenterIdBits;
/**
* 生成序列的掩码,这里为4095 (0b111111111111=0xfff=4095)
*/
private final long sequenceMask = -1L ^ (-1L << sequenceBits);
/**
* 工作机器ID(0~31)
*/
private long workerId;
/**
* 数据中心ID(0~31)
*/
private long datacenterId;
/**
* 毫秒内序列(0~4095)
*/
private long sequence = 0L;
/**
* 上次生成ID的时间截
*/
private long lastTimestamp = -1L;
//==============================Constructors=====================================
/**
* 构造函数
*
* @param workerId 工作ID (0~31)
* @param datacenterId 数据中心ID (0~31)
*/
public SnowflakeIdWorker(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;
}
// ==============================Methods==========================================
/**
* 获得下一个ID (该方法是线程安全的)
*
* @return SnowflakeId
*/
public synchronized long nextId() {
long timestamp = timeGen();
//如果当前时间小于上一次ID生成的时间戳,说明系统时钟回退过这个时候应当抛出异常
if (timestamp < lastTimestamp) {
throw new RuntimeException(
String.format
("Clock moved backwards. Refusing to generate id for %d milliseconds", lastTimestamp - timestamp));
}
//如果是同一时间生成的,则进行毫秒内序列
if (lastTimestamp == timestamp) {
sequence = (sequence + 1) & sequenceMask;
//毫秒内序列溢出
if (sequence == 0) {
//阻塞到下一个毫秒,获得新的时间戳
timestamp = tilNextMillis(lastTimestamp);
}
}
//时间戳改变,毫秒内序列重置
else {
sequence = 0L;
}
//上次生成ID的时间截
lastTimestamp = timestamp;
//移位并通过或运算拼到一起组成64位的ID
return ((timestamp - twepoch) << timestampLeftShift) //
| (datacenterId << datacenterIdShift) //
| (workerId << workerIdShift) //
| sequence;
}
/**
* 阻塞到下一个毫秒,直到获得新的时间戳
*
* @param lastTimestamp 上次生成ID的时间截
* @return 当前时间戳
*/
protected long tilNextMillis(long lastTimestamp) {
long timestamp = timeGen();
while (timestamp <= lastTimestamp) {
timestamp = timeGen();
}
return timestamp;
}
/**
* 返回以毫秒为单位的当前时间
*
* @return 当前时间(毫秒)
*/
protected long timeGen() {
return System.currentTimeMillis();
}
//==============================Test=============================================
/**
* 测试
*/
public static void main(String[] args) {
SnowflakeIdWorker idWorker = new SnowflakeIdWorker(0, 0);
long id = idWorker.nextId();
System.out.println("id:" + id);
//id:768842202204864512
}
}

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