java 跨数据库导入大数据
java 跨数据库导入大数据
/**
* java程序跨服务器跨数据库批量导入导出百万级数据
* @param args
* @throws Exception
*/
public static void main(String args[]) throws Exception {
ResultSet rs = null;
Statement s1 = null;
Statement s2 = null;
Connection cn1 = null;
Connection cn2 = null;
long startTime = 0;// 开始时间
long endTime = 0; // 结束时间
int count = 1; // 计数
int onerun = 0; // 执行的最大数
int datanum = 0; // 总条数
int num = 0; // 取整最大数据
try {
startTime = System.currentTimeMillis();
Class.forName("com.microsoft.sqlserver.jdbc.SQLServerDriver");
Class.forName("oracle.jdbc.driver.OracleDriver");
cn1 = DriverManager.getConnection("jdbc:oracle:thin:@192.168.1.16:1521:oracleDb", "test", "test2012");
cn2 = DriverManager.getConnection("jdbc:sqlserver://192.168.1.18:1433;databaseName=dbsql;user=sa;password=db2012");
// 插入oracle数据库时使用事务批量提交
cn1.setAutoCommit(false);
if (cn2 != null) {
//ORACLE 数据库
s1 = cn1.createStatement();
//sqlserver 数据库
s2 = cn2.createStatement(ResultSet.TYPE_SCROLL_SENSITIVE, ResultSet.CONCUR_UPDATABLE);
// 先查询sqlserver数据源表,获取总数据条数
rs = s2.executeQuery("select count(vcBusiFlowNo) from tb_His2_Ask_Pay_Fee");
if (rs.next()) {
datanum = rs.getInt(1);
}
System.out.println("总记录数:" + datanum + "条");
onerun = 10000;// 执行的最大数
// 计算出总条数符合每批10000的数量是多少
num = datanum / onerun * onerun;
s2.setMaxRows(datanum);
s2.setFetchSize(onerun);// 每批执行的数据条数
//查询
rs = s2.executeQuery(
"select nSerialNo,vcBusiFlowNo,vcBusiTypeID,vcBusiNumber,vcUserName,vcUserAddress,vcUserLinkTel,nPayFee,vcBusiMonth,vcComments,dOperDate,vcOperID,vcDealerID,vcAreaCode,vcDealerGradeID from tb_His2_Ask_Pay_Fee");
while (rs.next()) {
//边查询变插入
s1.addBatch(
"insert into tb_His2_Ask_Pay_Fee(nSerialNo,vcBusiFlowNo,vcBusiTypeID,vcBusiNumber,vcUserName,vcUserAddress,vcUserLinkTel,nPayFee,vcBusiMonth,vcComments,dOperDate,vcOperID,vcDealerID,vcAreaCode,vcDealerGradeID) values('"
+ rs.getString("nSerialNo") + "','" + rs.getString("vcBusiFlowNo") + "','"
+ rs.getString("vcBusiTypeID") + "','" + rs.getString("vcBusiNumber") + "','"
+ rs.getString("vcUserName") + "','" + rs.getString("vcUserAddress") + "','"
+ rs.getString("vcUserLinkTel") + "','" + rs.getString("nPayFee") + "','"
+ rs.getString("vcBusiMonth") + "','" + rs.getString("vcComments") + "','"
+ rs.getString("dOperDate") + "','" + rs.getString("vcOperID") + "','"
+ rs.getString("vcDealerID") + "','" + rs.getString("vcAreaCode") + "','"
+ rs.getString("vcDealerGradeID") + "')");
// 10000取整后剩余的小数据量就顺序插入
if (count > num) {
//批量执行
s1.executeBatch();
//提交事务
cn1.commit();
//清空
s1.clearBatch();
} else {
// 数据够批次的就按批量插入
if (count % onerun == 0) {
// 10000条一批插入
s1.executeBatch();
cn1.commit();
s1.clearBatch();
}
}
count++;
}
}
} catch (Exception e) {
e.printStackTrace();
} finally {
rs.close();
s2.close();
s1.close();
cn2.close();
cn1.close();
}
endTime = System.currentTimeMillis();
System.out.println("成功移植数据:" + (count - 1) + "条,耗时" + (endTime - startTime) / 1000 + "秒");
}
posted @
2019-01-04 14:21 栖息地 阅读(
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