我有一个demo,JDBC批处理文件:demo.txt 内容
1899942,demo1
1899944,
demo2 1899946,demo3
1899948,demo4
插入数据读取文件内容
我的代码:
public class Test2 {
public static void main(String[] args) {
long start = System.currentTimeMillis();
String sql = "insert into mobile_place(number,place) values(?,?)";
int count=0;
PreparedStatement pstmt = null;
Connection conn = JDBCUtil.getConnection();
try {
pstmt = conn.prepareStatement(sql);
InputStreamReader is = new InputStreamReader(new FileInputStream(new File("D:/CC.txt")),"utf-8");
BufferedReader br = new BufferedReader(is);
conn.setAutoCommit(false);
String s1 = null;
String s2 = null;
while(br.readLine() != null){
count++;
String str = br.readLine().toString().trim();
s1 = str.substring(0, str.indexOf(","));
s2 = str.substring(str.indexOf(",")+1,str.length());
pstmt.setString(1, s1);
pstmt.setString(2, s2);
pstmt.addBatch();
if(count%1000==0){
pstmt.executeBatch();
conn.commit();
conn.close();
conn = JDBCUtil.getConnection();
conn.setAutoCommit(false);
pstmt = conn.prepareStatement(sql);
}
System.out.println("insert "+count+"line");
}
if(count%1000!=0){
pstmt.executeBatch();
conn.commit();
}
long end = System.currentTimeMillis();
System.out.println("Total time spent:"+(end-start));
} catch (Exception e) {
e.printStackTrace();
}finally{
try {
pstmt.close();
conn.close();
} catch (SQLException e) {
e.printStackTrace();
}
}
}
}
//getConnection()//get jdbc Connection
public static Connection getConnection(){
try {
Class.forName("com.mysql.jdbc.Driver");
} catch (ClassNotFoundException e) {
e.printStackTrace();
}
try {
conn = DriverManager.getConnection(url, userName, password);
} catch (SQLException e) {
e.printStackTrace();
}
return conn;
}
第一次说话,希望能帮到你
我是上面的demo使用PreparedStatement【读取数据调用一个PreparedStatement一次性插入】
JDBC批处理有3种方式 1.使用PreparedStatement demo:
try {
Class.forName("com.mysql.jdbc.Driver");
conn = DriverManager.getConnection(o_url, userName, password);
conn.setAutoCommit(false);
String sql = "INSERT adlogs(ip,website,yyyymmdd,hour,object_id) VALUES(?,?,?,?,?)";
PreparedStatement prest = conn.prepareStatement(sql,ResultSet.TYPE_SCROLL_SENSITIVE,ResultSet.CONCUR_READ_ONLY);
for(int x = 0; x < size; x++){
prest.setString(1, "192.168.1.1");
prest.setString(2, "localhost");
prest.setString(3, "20081009");
prest.setInt(4, 8);
prest.setString(5, "11111111");
prest.addBatch();
}
prest.executeBatch();
conn.commit();
conn.close();
} catch (SQLException ex) {
Logger.getLogger(MyLogger.class.getName()).log(Level.SEVERE, null, ex);
}
2.使用 Statement.addBatch 方法演示:
conn.setAutoCommit(false);
Statement stmt = conn.createStatement(ResultSet.TYPE_SCROLL_SENSITIVE, ResultSet.CONCUR_READ_ONLY);
for(int x = 0; x < size; x++){
stmt.addBatch("INSERT INTO adlogs(ip,website,yyyymmdd,hour,object_id) VALUES('192.168.1.3', 'localhost','20081009',8,'23123')");
}
stmt.executeBatch();
conn.commit();
3.Statement演示直接使用:
conn.setAutoCommit(false);
Statement stmt = conn.createStatement(ResultSet.TYPE_SCROLL_SENSITIVE,
ResultSet.CONCUR_READ_ONLY);
for(int x = 0; x < size; x++){
stmt.execute("INSERT INTO adlogs(ip,website,yyyymmdd,hour,object_id) VALUES('192.168.1.3', 'localhost','20081009',8,'23123')");
}
conn.commit();
使用上述方法插入100000条数据耗时:方法1:17.844s方法2:18.421s方法3:16.359s