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mysql分庫分表時的主鍵生成策略

傳送門:http://blog.csdn.net/bluishglc/article/details/7710738#java

請各位參考上面地址.

這種主鍵生成方式,相對於twritter的生成方式,好處在於,id的值是可以控制的,你想讓它生成什麼樣子的id都可以實現.

這裡貼一下測試 程式 ,在我的機器上I7 2720 ,16G.單臺mysql,最高達到2800/s.兩臺mysql併發,最高達到4800/s

受制於cpu的多執行緒處理能力 ,當用3臺,4臺mysql測試時,效能並沒有任何 提高 ,由此可知,已經達到了cpu多執行緒的最高處理能力

package mysqlJDBC;

import java.sql.PreparedStatement;
import java.sql.ResultSet;
import java.sql.SQLException;

import org.junit.Test;

import com.alibaba.druid.pool.DruidDataSource;
import com.alibaba.druid.pool.DruidPooledConnection;

public class JdbcTest {

@Test
public void test() throws SQLException {

getConn37();
getConn38();
long begin = System.currentTimeMillis();
int step = 10000;
long total=3061;


for (int i = 0; i < step; i+=2) {
// System.out.println("count i="+i);
new Thread(new Runnable() {

@Override
public void run() {

try {
DruidPooledConnection conn = getConn37();
PreparedStatement ps1 = conn
.prepareStatement("REPLACE INTO Tickets64 (stub) VALUES ('a')");
PreparedStatement ps2 = conn
.prepareStatement("SELECT LAST_INSERT_ID()");
ps1.execute();
ResultSet rs = ps2.executeQuery(); // 執行預處理語句獲取查詢結果集
while (rs.next()) {
System.out.println(rs.getString(1));
System.out.println(System.currentTimeMillis() - begin);
}
rs.close();
ps1.close();
ps2.close();
conn.close();

} catch (SQLException e) {
e.printStackTrace();
}

}
}).start();
new Thread(new Runnable() {

@Override
public void run() {

try {
DruidPooledConnection conn = getConn38();
PreparedStatement ps1 = conn
.prepareStatement("REPLACE INTO Tickets64 (stub) VALUES ('a')");
PreparedStatement ps2 = conn
.prepareStatement("SELECT LAST_INSERT_ID()");
ps1.execute();
ResultSet rs = ps2.executeQuery(); // 執行預處理語句獲取查詢結果集
while (rs.next()) {
System.out.println(rs.getString(1));
System.out.println(System.currentTimeMillis() - begin);
}
rs.close();
ps1.close();
ps2.close();
conn.close();

} catch (SQLException e) {
e.printStackTrace();
}

}
}).start();

}


try {
Thread.sleep(10000);
} catch (InterruptedException e) {
e.printStackTrace();
}
System.out.println("total is " + total);
System.out.println("per fix is " + (step * 1000) / total);
}

private static DruidPooledConnection getConn37() {




DruidPooledConnection conn = null;
try {
conn = DbConnectionFactory.getDataSource37().getConnection();
} catch (SQLException e) {
e.printStackTrace();
}
return conn;
}


private static DruidPooledConnection getConn38() {




DruidPooledConnection conn = null;
try {
conn = DbConnectionFactory.getDataSource38().getConnection();
} catch (SQLException e) {
e.printStackTrace();
}
return conn;
}


}

class DbConnectionFactory{
private DbConnectionFactory(){

}
public static DruidDataSource getDataSource38()
{
return Holder38.druidDataSource;
}
public static DruidDataSource getDataSource37()
{
return Holder37.druidDataSource;
}
static class Holder38{
public static DruidDataSource druidDataSource= Holder38.getConnectionPool();
private static DruidDataSource getConnectionPool(){
DruidDataSource dataSource = new DruidDataSource();
dataSource.setDriverClassName("com.mysql.jdbc.Driver");
dataSource.setUsername("root");
dataSource.setPassword("1qaz2wsx");
dataSource.setUrl("jdbc:mysql://192.168.1.38:3308/idserver");
dataSource.setInitialSize(100);
dataSource.setMinIdle(50);
dataSource.setMaxActive(200);
// 啟用監控統計功能 dataSource.setFilters("stat");
dataSource.setPoolPreparedStatements(true);// for mysql
dataSource.setMaxPoolPreparedStatementPerConnectionSize(100);
//配置一個連線在池中最小生存的時間,單位是毫秒
dataSource.setMinEvictableIdleTimeMillis(300000);
return dataSource;
}
}

static class Holder37{
public static DruidDataSource druidDataSource= Holder37.getConnectionPool();
private static DruidDataSource getConnectionPool(){
DruidDataSource dataSource = new DruidDataSource();
dataSource.setDriverClassName("com.mysql.jdbc.Driver");
dataSource.setUsername("root");
dataSource.setPassword("1qaz2wsx");
dataSource.setUrl("jdbc:mysql://192.168.1.37:3308/idserver");
dataSource.setInitialSize(100);
dataSource.setMinIdle(50);
dataSource.setMaxActive(200);
// 啟用監控統計功能 dataSource.setFilters("stat");
dataSource.setPoolPreparedStatements(true);// for mysql
dataSource.setMaxPoolPreparedStatementPerConnectionSize(100);
//配置一個連線在池中最小生存的時間,單位是毫秒
dataSource.setMinEvictableIdleTimeMillis(300000);
return dataSource;
}
}
}