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Java 11: Issues with JDBC batch updates and transaction isolation levels causing stale data

πŸ‘€ Views: 93 πŸ’¬ Answers: 1 πŸ“… Created: 2025-06-10
java jdbc mysql transaction batch-update Java

I've encountered a strange issue with I'm encountering issues when performing batch updates using JDBC with MySQL in a Java 11 application... My goal is to efficiently update multiple records in a single transaction, but I'm running into stale data issues when reading immediately after the update. I'm using the following code to perform the batch updates: ```java Connection conn = null; PreparedStatement pstmt = null; try { conn = DriverManager.getConnection("jdbc:mysql://localhost:3306/mydb", "user", "password"); conn.setAutoCommit(false); String sql = "UPDATE users SET status = ? WHERE id = ?"; pstmt = conn.prepareStatement(sql); for (User user : userList) { pstmt.setString(1, user.getStatus()); pstmt.setInt(2, user.getId()); pstmt.addBatch(); } pstmt.executeBatch(); conn.commit(); } catch (SQLException e) { e.printStackTrace(); try { if (conn != null) conn.rollback(); } catch (SQLException rollbackEx) { rollbackEx.printStackTrace(); } } finally { if (pstmt != null) pstmt.close(); if (conn != null) conn.close(); } ``` After this batch update, when I try to query the database for the updated user statuses in the same connection, I get stale results. It seems like I'm reading the old values instead of the newly updated ones. I've also tried setting the transaction isolation level to `READ_COMMITTED`, but that didn’t seem to resolve the issue. Here’s how I set it: ```java conn.setTransactionIsolation(Connection.TRANSACTION_READ_COMMITTED); ``` I've verified that my MySQL database is set to use InnoDB as the storage engine, and I've even checked the JDBC URL for any settings that might affect caching. I also suspect that there might be some caching happening within the connection itself. Could this be related to how I'm managing the connection or the JDBC driver settings? Any advice on how to ensure that I'm seeing the updated data immediately would be greatly appreciated! Has anyone dealt with something similar?