JavaWeb学习总结(十)--JDBC之MySQL大数据

时间:2022-12-31 03:41:10

一、基本概念

  大数据也称之为LOB(Large Objects),LOB又分为:clob和blob,clob用于存储大文本,blob用于存储二进制数据,例如图像、声音、二进制文等。

  JavaWeb学习总结(十)--JDBC之MySQL大数据

但是,在mysql中没有提供tinyclob、clob、mediumclob、longclob四种类型,而是使用如下四种类型来处理文本大数据:

JavaWeb学习总结(十)--JDBC之MySQL大数据

二、使用JDBC处理MySQL的二进制数据

2.1 修改mysql的配置,默认储存对象最大为4M,这里需要调整:

  在my.ini中添加如下配置,然后重启

    max_allowed_packet=10485760

否则会被如下异常:

JavaWeb学习总结(十)--JDBC之MySQL大数据

2.2 创建表存储MP3

CREATE TABLE testblob
(
id INT PRIMARY KEY AUTO_INCREMENT,
mp3 LONGBLOB
);

2.3 编写测试代码如下:

package cn.zy.test;

import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.InputStream;
import java.io.OutputStream;
import java.sql.Blob;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.ResultSet;
import javax.sql.rowset.serial.SerialBlob;
import org.apache.commons.io.IOUtils;
import org.junit.Test;
import cn.zy.utils.JdbcUtils; public class LobTest {
@Test
/*
* 将MP3保存到数据库
*/
public void addBlob(){
Connection conn = null;
PreparedStatement st = null;
ResultSet rs = null;
try {
conn = JdbcUtils.getConnection();
String sql = "insert into testblob(mp3) values(?)";
st = conn.prepareStatement(sql);
//把文件转换成流
byte[] bytes = IOUtils.toByteArray(new FileInputStream("F:/十年.mp3"));
// 使用byte[]创建Blob
Blob blob = new SerialBlob(bytes);
st.setBlob(1, blob);
int num = st.executeUpdate();
if (num>0) {
System.out.println("插入成功");
}
} catch (Exception e) {
e.printStackTrace();
}finally {
JdbcUtils.release(conn, st, rs);
}
} @Test
/*
* 读取mysql中保存的二进制数据
*/
public void readBlob(){
Connection conn = null;
PreparedStatement st = null;
ResultSet rs = null;
try {
conn = JdbcUtils.getConnection();
String sql = "select * from testblob where id=?";
st = conn.prepareStatement(sql);
st.setInt(1, 1);
rs = st.executeQuery();
if (rs.next()){
Blob blob = rs.getBlob("mp3");
InputStream in = blob.getBinaryStream();
OutputStream out = new FileOutputStream("c:/十年.mp3");
IOUtils.copy(in, out);
}
} catch (Exception e) {
e.printStackTrace();
}finally{
JdbcUtils.release(conn, st, rs);
}
}
}

查询表:

JavaWeb学习总结(十)--JDBC之MySQL大数据

三、使用JDBC处理MySQL的大文本

1. 将nohup.txt放到src下面

JavaWeb学习总结(十)--JDBC之MySQL大数据

2. 创建表

CREATE TABLE testclob
(
id INT PRIMARY KEY AUTO_INCREMENT,
RESUME TEXT
);

3.代码如下:

package cn.zy.test;

import java.io.File;
import java.io.FileReader;
import java.io.FileWriter;
import java.io.Reader;
import java.sql.Connection;
import java.sql.PreparedStatement;
import java.sql.ResultSet; import org.junit.Test; import cn.zy.utils.JdbcUtils; public class LobTextTest {
/*
* 向数据库中插入大文本数据
*/
@Test
public void add(){
Connection conn = null;
PreparedStatement st = null;
ResultSet rs = null;
Reader reader = null;
try {
conn = JdbcUtils.getConnection();
String sql = "insert into testclob(resume) values(?)";
st = conn.prepareStatement(sql);
//这种方式获取的路径,其中的空格会被使用“%20”代替
String path = LobTextTest.class.getClassLoader().getResource("nohup.txt").getPath();
//将“20%”替换回空格
path = path.replaceAll("%20", " ");
File file = new File(path);
reader = new FileReader(file);
st.setCharacterStream(1, reader,(int)file.length());
int num = st.executeUpdate();
if(num>0){
System.out.println("插入成功!");
}
//关闭流
reader.close();
} catch (Exception e) {
e.printStackTrace();
}finally {
JdbcUtils.release(conn, st, rs);
}
} /*
* 读取mysql中的文本数据
*/
@Test
public void read(){
Connection conn = null;
PreparedStatement st = null;
ResultSet rs = null;
File file = null;
Reader reader = null;
try {
conn = JdbcUtils.getConnection();
String sql = "select * from testclob where id=?";
st = conn.prepareStatement(sql);
st.setInt(1, 1);
rs = st.executeQuery();
String contentStr ="";
String content = "";
if (rs.next()){
//使用resultSet.getString("字段名")获取大文本数据的内容
content = rs.getString("resume");
//使用resultSet.getCharacterStream("字段名")获取大文本数据的内容
reader = rs.getCharacterStream("resume");
char buffer[] = new char[1024];
int len = 0;
FileWriter out = new FileWriter("D:\\1.txt");
while((len=reader.read(buffer))>0){
contentStr += new String(buffer);
out.write(buffer, 0, len);
}
out.close();
reader.close();
}
System.out.println(content);
System.out.println("-----------------------------------------------");
System.out.println(contentStr); } catch (Exception e) {
e.printStackTrace();
}finally{
JdbcUtils.release(conn, st, rs);
}
}
}

查看mysql中插入的数据:

JavaWeb学习总结(十)--JDBC之MySQL大数据