DuckDB JDBC driver senior usage: batch operation and transaction management
DuckDB is an efficient analytical database that is known for its lightweight and high performance.It not only provides conventional addition, deletion, and correction (CRUD) operation, but also supports batch operations and transaction management.In this article, we will explore the advanced usage of DuckDB JDBC drives, including batch operations and transaction management, and provide corresponding Java code examples.
## batch operation
Batch operation refers to the one -time execution of multiple database operations, which can improve the efficiency of database operations.DuckDB JDBC driver provides the `ExecuteBatch` method for performing batch operations.The following is an example, demonstrating how to use the DuckDB JDBC driver to perform a batch insert operation:
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;
public class DuckDBBatchExample {
public static void main(String[] args) {
String url = "jdbc:duckdb:";
String username = "";
String password = "";
try (Connection conn = DriverManager.getConnection(url, username, password);
PreparedStatement pstmt = conn.prepareStatement("INSERT INTO my_table (id, name) VALUES (?, ?)")) {
// Open the automatic submission transaction mode
conn.setAutoCommit(true);
// Batch insert data
for (int i = 1; i <= 100; i++) {
pstmt.setInt(1, i);
pstmt.setString(2, "Name " + i);
pstmt.addBatch();
// Perform batch operations every 50 pieces of data
if (i % 50 == 0) {
pstmt.executeBatch();
}
}
// Execute the remaining data
pstmt.executeBatch();
System.out.println ("Batch insertion is complete!");
} catch (SQLException e) {
e.printStackTrace();
}
}
}
In the above example, we use the `PreparedStatement` object to perform batch insertion operations.Each inserted statement is added to the batch operation through the `adDBATCH` method, and then perform batch operations through the` ExecuteBatch` method.When the additional insert statement reaches a certain amount (such as 50 pieces of data), we will perform a batch operation to improve performance.
## affairs management
Affairs management refers to the execution process of a set of database operations. They either all successfully executed or rolled back.DuckDB JDBC driver supports transaction management. It can control the submission and rollback through the method of `Commit` and` Rollback`.The following is an example. How to show how to use the DuckDB JDBC driver for transaction management:
import java.sql.Connection;
import java.sql.DriverManager;
import java.sql.PreparedStatement;
import java.sql.SQLException;
public class DuckDBTransactionExample {
public static void main(String[] args) {
String url = "jdbc:duckdb:";
String username = "";
String password = "";
try (Connection conn = DriverManager.getConnection(url, username, password);
PreparedStatement pstmt = conn.prepareStatement("INSERT INTO my_table (id, name) VALUES (?, ?)")) {
// Open the manual submission transaction mode
conn.setAutoCommit(false);
try {
// Affairs operation
pstmt.setInt(1, 1);
pstmt.setString(2, "Name 1");
pstmt.executeUpdate();
pstmt.setInt(1, 2);
pstmt.setString(2, "Name 2");
pstmt.executeUpdate();
// Submit a transaction
conn.commit();
System.out.println ("Submission of transaction is completed!");
} catch (SQLException e) {
// Roll back the transaction when it is abnormal
conn.rollback();
e.printStackTrace();
}
} catch (SQLException e) {
e.printStackTrace();
}
}
}
In the above example, we use the `PreparedStatement` object to perform two insert operations and pack them in one transaction.First of all, we open the manual submission of transaction mode, and then use the `Commit` method to submit transactions after the inserting operation.If abnormalities occur during transaction operation, we will roll back the transaction through the `Rollback` method.
Therefore, we demonstrated the advanced usage of DuckDB JDBC drive through the above example-batch operation and transaction management.These usage can improve the efficiency and accuracy of database operations, and can meet various complex data processing needs.
