现在来试试多线程能够多少秒钟插入千万数据
/**
* @Author: guandezhi
* @Date: 2019/4/13 15:35
*/
public class JdbcUtils {
private static String url = "jdbc:mysql://localhost:3306/user?useSSL=false&rewriteBatchedStatements=true";
private static String user = "root";
private static String password = "root";
private static ExecutorService threadPool = Executors.newFixedThreadPool(50);
public static void executeBatch() {
Connection conn = null;
PreparedStatement ps = null;
try {
Class.forName("com.mysql.jdbc.Driver");
conn = DriverManager.getConnection(url, user, password);
String sql = "insert into user(name, mobile) values(?,?)";
conn.setAutoCommit(false);
ps = conn.prepareStatement(sql);
for (int j = 0; j < 100000; j++) {
String mobile = "13356544556";
Integer randNum = 0;
Random random = new Random();
for (int i = 0; i < 1000; i++) {
randNum = random.nextInt(10);
}
ps.setString(1, "官德志");
ps.setString(2, mobile + String.valueOf(randNum));
ps.addBatch();
}
ps.executeBatch();
conn.commit();
} catch (Exception e) {
e.printStackTrace();
} finally {
if (conn != null) {
try {
conn.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
}
}
public static void main(String[] args) throws InterruptedException {
long beginTime = System.currentTimeMillis();
CountDownLatch latch = new CountDownLatch(100);
for (int i = 0; i < 100; i++) {
threadPool.execute(() -> {
try {
JdbcUtils.executeBatch();
} catch (Exception e) {
System.out.println("插入数据异常");
} finally {
latch.countDown();
}
});
}
latch.await();
long endTime = System.currentTimeMillis();
System.out.println("插入一千万数据用时：" + (endTime - beginTime) / 1000 + " 秒");
threadPool.shutdown();
}
}
测试一下
总结：
1.多线程确实比单线程快很多
2.此处开启多线程容易造成OOM,需要合理的设置线程大小和JVM参数。