


How to Solve 'java.sql.SQLException: Operation not allowed after ResultSet closed'?
Dec 03, 2024 pm 02:21 PMResultSet Reuse Solution for "java.sql.SQLException: Operation not allowed after ResultSet closed"
When encountering the "java.sql.SQLException: Operation not allowed after ResultSet closed" error, it suggests that multiple result sets are being used concurrently from the same statement object. This violates the default expectation of the Statement class, which allows only one ResultSet to be open at a time.
To resolve this issue in the provided code, the following steps should be taken:
In the getStuff() method:
- The ResultSet object rs must be closed after extracting the necessary data to avoid conflicts with the other ResultSets.
In the calling code:
- The ResultSet object rs must also be closed to release its association with the statement object.
- A new PreparedStatement object should be created for executing the update query. This ensures that the original ResultSet objects remain unaffected.
The modified code with these fixes would look like:
try { //Get some stuff String name = ""; String sql = "SELECT `name` FROM `user` WHERE `id` = " + userId + " LIMIT 1;"; ResultSet rs = statement.executeQuery(sql); if (rs.next()) { name = rs.getString("name"); } rs.close(); // Close the ResultSet 'rs' String sql2 = "SELECT `id` FROM `profiles` WHERE `id` =" + profId + ";"; ResultSet rs2 = statement.executeQuery(sql2); String updateSql = "INSERT INTO `blah`............"; PreparedStatement pst = (PreparedStatement) connection.prepareStatement(updateSql); while (rs2.next()) { int id = rs2.getInt("id"); int stuff = getStuff(id); pst.setInt(1, stuff); pst.addBatch(); } rs2.close(); // Close the ResultSet 'rs2' pst.executeBatch(); } catch (Exception e) { e.printStackTrace(); } private int getStuff(int id) { try { String sql = "SELECT ......;"; ResultSet rs = statement.executeQuery(sql); if (rs.next()) { int result = rs.getInt("something"); rs.close(); // Close the ResultSet 'rs' in 'getStuff' method return result; } return -1; }//code continues }
By implementing these changes, the code ensures that all ResultSets are properly closed, preventing the "java.sql.SQLException: Operation not allowed after ResultSet closed" error.
The above is the detailed content of How to Solve 'java.sql.SQLException: Operation not allowed after ResultSet closed'?. For more information, please follow other related articles on the PHP Chinese website!

Hot AI Tools

Undress AI Tool
Undress images for free

Undresser.AI Undress
AI-powered app for creating realistic nude photos

AI Clothes Remover
Online AI tool for removing clothes from photos.

Clothoff.io
AI clothes remover

Video Face Swap
Swap faces in any video effortlessly with our completely free AI face swap tool!

Hot Article

Hot Tools

Notepad++7.3.1
Easy-to-use and free code editor

SublimeText3 Chinese version
Chinese version, very easy to use

Zend Studio 13.0.1
Powerful PHP integrated development environment

Dreamweaver CS6
Visual web development tools

SublimeText3 Mac version
God-level code editing software (SublimeText3)

Hot Topics

GTID (Global Transaction Identifier) ??solves the complexity of replication and failover in MySQL databases by assigning a unique identity to each transaction. 1. It simplifies replication management, automatically handles log files and locations, allowing slave servers to request transactions based on the last executed GTID. 2. Ensure consistency across servers, ensure that each transaction is applied only once on each server, and avoid data inconsistency. 3. Improve troubleshooting efficiency. GTID includes server UUID and serial number, which is convenient for tracking transaction flow and accurately locate problems. These three core advantages make MySQL replication more robust and easy to manage, significantly improving system reliability and data integrity.

MySQL main library failover mainly includes four steps. 1. Fault detection: Regularly check the main library process, connection status and simple query to determine whether it is downtime, set up a retry mechanism to avoid misjudgment, and can use tools such as MHA, Orchestrator or Keepalived to assist in detection; 2. Select the new main library: select the most suitable slave library to replace it according to the data synchronization progress (Seconds_Behind_Master), binlog data integrity, network delay and load conditions, and perform data compensation or manual intervention if necessary; 3. Switch topology: Point other slave libraries to the new master library, execute RESETMASTER or enable GTID, update the VIP, DNS or proxy configuration to

The steps to connect to the MySQL database are as follows: 1. Use the basic command format mysql-u username-p-h host address to connect, enter the username and password to log in; 2. If you need to directly enter the specified database, you can add the database name after the command, such as mysql-uroot-pmyproject; 3. If the port is not the default 3306, you need to add the -P parameter to specify the port number, such as mysql-uroot-p-h192.168.1.100-P3307; In addition, if you encounter a password error, you can re-enter it. If the connection fails, check the network, firewall or permission settings. If the client is missing, you can install mysql-client on Linux through the package manager. Master these commands

To add MySQL's bin directory to the system PATH, it needs to be configured according to the different operating systems. 1. Windows system: Find the bin folder in the MySQL installation directory (the default path is usually C:\ProgramFiles\MySQL\MySQLServerX.X\bin), right-click "This Computer" → "Properties" → "Advanced System Settings" → "Environment Variables", select Path in "System Variables" and edit it, add the MySQLbin path, save it and restart the command prompt and enter mysql--version verification; 2.macOS and Linux systems: Bash users edit ~/.bashrc or ~/.bash_

MySQL's default transaction isolation level is RepeatableRead, which prevents dirty reads and non-repeatable reads through MVCC and gap locks, and avoids phantom reading in most cases; other major levels include read uncommitted (ReadUncommitted), allowing dirty reads but the fastest performance, 1. Read Committed (ReadCommitted) ensures that the submitted data is read but may encounter non-repeatable reads and phantom readings, 2. RepeatableRead default level ensures that multiple reads within the transaction are consistent, 3. Serialization (Serializable) the highest level, prevents other transactions from modifying data through locks, ensuring data integrity but sacrificing performance;

MySQL transactions follow ACID characteristics to ensure the reliability and consistency of database transactions. First, atomicity ensures that transactions are executed as an indivisible whole, either all succeed or all fail to roll back. For example, withdrawals and deposits must be completed or not occur at the same time in the transfer operation; second, consistency ensures that transactions transition the database from one valid state to another, and maintains the correct data logic through mechanisms such as constraints and triggers; third, isolation controls the visibility of multiple transactions when concurrent execution, prevents dirty reading, non-repeatable reading and fantasy reading. MySQL supports ReadUncommitted and ReadCommi.

IndexesinMySQLimprovequeryspeedbyenablingfasterdataretrieval.1.Theyreducedatascanned,allowingMySQLtoquicklylocaterelevantrowsinWHEREorORDERBYclauses,especiallyimportantforlargeorfrequentlyqueriedtables.2.Theyspeedupjoinsandsorting,makingJOINoperation

MySQLWorkbench stores connection information in the system configuration file. The specific path varies according to the operating system: 1. It is located in %APPDATA%\MySQL\Workbench\connections.xml in Windows system; 2. It is located in ~/Library/ApplicationSupport/MySQL/Workbench/connections.xml in macOS system; 3. It is usually located in ~/.mysql/workbench/connections.xml in Linux system or ~/.local/share/data/MySQL/Wor
