使用JDBC在MySQL数据库中快速批量插入数据
作者:互联网
使用JDBC连接MySQL数据库进行数据插入的时候,特别是大批量数据连续插入(100W+),如何提高效率呢?
在JDBC编程接口中Statement 有两个方法特别值得注意:
void addBatch() throws SQLExceptionAdds a set of parameters to this
PreparedStatement
object's batch of commands.
int[] executeBatch() throws SQLExceptionSubmits a batch of commands to the database for execution and if all commands execute successfully, returns an array of update counts. The
int
elements of the array that is returned are ordered to correspond to the commands in the batch, which are ordered according to the order in which they were added to the batch.
通过使用addBatch()和executeBatch()这一对方法可以实现批量处理数据。
不过值得注意的是,首先需要在数据库链接中设置手动提交,connection.setAutoCommit(false),然后在执行Statement之后执行connection.commit()。
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- package cyl.demo.ipsearcher;
- import java.io.BufferedReader;
- import java.io.FileInputStream;
- import java.io.IOException;
- import java.io.InputStreamReader;
- import java.sql.Connection;
- import java.sql.DriverManager;
- import java.sql.PreparedStatement;
- import java.sql.SQLException;
- public class DbStoreHelper {
- private String insert_sql;
- private String charset;
- private boolean debug;
- private String connectStr;
- private String username;
- private String password;
- public DbStoreHelper() {
- connectStr = "jdbc:mysql://localhost:3306/db_ip";
- // connectStr += "?useServerPrepStmts=false&rewriteBatchedStatements=true";
- insert_sql = "INSERT INTO tb_ipinfos (iplong1,iplong2,ipstr1,ipstr2,ipdesc) VALUES (?,?,?,?,?)";
- charset = "gbk";
- debug = true;
- username = "root";
- password = "***";
- }
- public void storeToDb(String srcFile) throws IOException {
- BufferedReader bfr = new BufferedReader(new InputStreamReader(new FileInputStream(srcFile), charset));
- try {
- doStore(bfr);
- } catch (Exception e) {
- e.printStackTrace();
- } finally {
- bfr.close();
- }
- }
- private void doStore(BufferedReader bfr) throws ClassNotFoundException, SQLException, IOException {
- Class.forName("com.mysql.jdbc.Driver");
- Connection conn = DriverManager.getConnection(connectStr, username,password);
- conn.setAutoCommit(false); // 设置手动提交
- int count = 0;
- PreparedStatement psts = conn.prepareStatement(insert_sql);
- String line = null;
- while (null != (line = bfr.readLine())) {
- String[] infos = line.split(";");
- if (infos.length < 5) continue;
- if (debug) {
- System.out.println(line);
- }
- psts.setLong(1, Long.valueOf(infos[0]));
- psts.setLong(2, Long.valueOf(infos[1]));
- psts.setString(3, infos[2]);
- psts.setString(4, infos[3]);
- psts.setString(5, infos[4]);
- psts.addBatch(); // 加入批量处理
- count++;
- }
- psts.executeBatch(); // 执行批量处理
- conn.commit(); // 提交
- System.out.println("All down : " + count);
- conn.close();
- }
- }
- All down : 103498
- Convert finished.
- All spend time/s : 47
- All down : 103498
- Convert finished.
- All spend time/s : 10
标签:psts,JDBC,java,String,数据库,private,MySQL,import,infos 来源: https://www.cnblogs.com/hhthtt/p/11008307.html