我目前有一个非常大的文件,其中包含几百万行条目,并希望将它们插入到数据库中。从java到SQL建立的连接起作用,因为我尝试单独插入数据并且它可以工作,但是,当我切换到使用executeBatch
和addBatch
时,它似乎循环但不填充任何东西到我的数据库中。
代码如下:
import java.io.BufferedReader;
import java.io.FileReader;
import java.sql.Connection;
import java.sql.DatabaseMetaData;
import java.sql.DriverManager;
import java.sql.SQLException;
public class fedOrganiser6 {
private static String directory = "C:\\Users\\x\\Desktop\\Files\\";
private static String file = "combined.fed";
private static String mapperValue = "";
public static void main(String[] args) throws Exception {
Connection conn = null;
try {
BufferedReader mapper = new BufferedReader(new FileReader(directory + file));
String dbURL = "jdbc:sqlserver://localhost\\SQLExpress;database=TIMESTAMP_ORGANISER;integratedSecurity=true";
String user = "sa";
String pass = "password";
conn = DriverManager.getConnection(dbURL, user, pass);
if (conn != null) {
DatabaseMetaData dm = (DatabaseMetaData) conn.getMetaData();
System.out.println("Driver name: " + dm.getDriverName());
System.out.println("Driver version: " + dm.getDriverVersion());
System.out.println("Product name: " + dm.getDatabaseProductName());
System.out.println("Product version: " + dm.getDatabaseProductVersion());
System.out.println("clearing database");
conn.createStatement().executeUpdate("truncate table TimestampsStorage");
System.out.println("bulk insert into database");
System.out.println("complete");
int i = 0;
int records = 0;
String query = "INSERT INTO TimestampsStorage " + "values(" + "'" + mapperValue.toString() + "'"+ ")";
conn.prepareStatement(query);
for (mapperValue = mapper.readLine(); mapperValue != null; mapperValue = mapper.readLine()) {
i++;
records++;
System.out.println("Batching " + records + " records...");
conn.createStatement().addBatch(query);
if (i == 100000) {
conn.createStatement().executeBatch();
i = 0;
}
}
}
conn.createStatement().executeBatch();
conn.createStatement().close();
System.out.print("Done");
} catch (SQLException ex) {
ex.printStackTrace();
} finally {
try {
if (conn != null && !conn.isClosed()) {
conn.close();
}
} catch (SQLException ex) {
ex.printStackTrace();
}
}
}
}
答案 0 :(得分:3)
createStatement()
创建一个新的语句对象,因此您执行的语句与您正在批处理的语句不同。您应该创建PreparedStatement
一次,向其添加几个批次,然后在同一个对象上执行:
String query = "INSERT INTO TimestampsStorage VALUES (?)";
PreparedStatement ps = conn.prepareStatement(query);
for (mapperValue = mapper.readLine();
mapperValue != null;
mapperValue = mapper.readLine()) {
i++;
records++;
System.out.println("Batching " + records + " records...");
ps.setString(1, mapperValue);
ps.addBatch();
if (i == 100000) {
ps.executeBatch();
i = 0;
}
}
答案 1 :(得分:2)
String query = "INSERT INTO TimestampsStorage VALUES (?)";
PreparedStatement statement = conn.prepareStatement(query);
for (mapperValue = mapper.readLine(); mapperValue != null; mapperValue = mapper.readLine()) {
i++;
records++;
System.out.println("Batching " + records + " records...");
statement.setString(1,mapperValue);
statement.addBatch();
if (i == 100000) {
statement.executeBatch();
i = 0;
}
答案 2 :(得分:2)
我认为你对JDBC的批处理工作方式有点误解。
每次致电Statement
时,您都会创建新的conn.createStatement()
。
相反,您需要使用PreparedStatement
。首先,更改您的查询以包含您想要值的?
。
String query = "INSERT INTO TimestampsStorage VALUES(?)";
然后,当您致电conn.prepareStatement(query)
时,请存储已退回的PreparedStatement
。
PreparedStatement ps = conn.prepareStatement(query);
此PreparedStatement
将“记住”您的查询,您只需在循环的每次迭代中更改?
所需的值。
ps.setString(1, mapperValue);
setString
方法将使用您的mapperValue
并使用它而不是您在查询中找到的第一个?
(因为您传入了索引1)。
然后,您可以拨打conn.createStatement().addBatch()
。
ps.addBatch()
然后,在循环之外,您可以致电ps.executeBatch()
。 (无需在循环中调用此方法,因此您可以删除if (i == 100000)
条件。
最后,如果您使用的是Java 7+,则可以尝试使用资源,这样您就不必担心在finally块中关闭PreparedStatement
或Connection
。 / p>
以下是您最终结果的样子。
String query = "INSERT INTO TimestampsStorage VALUES (?)";
try (Connection con = DriverManager.getConnection(dbURL, user, pass); PreparedStatement ps = con.prepareStatement(query);) {
for (mapperValue = mapper.readLine(); mapperValue != null; mapperValue = mapper.readLine()) {
records++;
ps.setString(1, mapperValue);
ps.addBatch();
}
System.out.println("Executing batch of " + records + " records...");
ps.executeBatch();
} catch (SQLException ex) {
//handle exception
}