When fetching millions of rows, avoid OutOfMemoryError by streaming.
// Delete try (PreparedStatement pstmt = conn.prepareStatement("DELETE FROM users WHERE id = ?")) pstmt.setLong(1, 1); pstmt.executeUpdate(); postgresql java driver
try (Statement stmt = conn.createStatement()) stmt.execute("LISTEN my_channel"); // Wait for notifications while (true) PGNotification[] notifications = conn.unwrap(PGConnection.class).getNotifications(1000); if (notifications != null) for (PGNotification notification : notifications) System.out.println("Received: " + notification.getParameter()); When fetching millions of rows, avoid OutOfMemoryError by
Always use try-with-resources to automatically close Connection , PreparedStatement , and ResultSet . 5. Handling PostgreSQL-Specific Data Types The driver maps standard SQL types to Java types, but also supports special PostgreSQL types. Working with JSONB PGobject jsonObject = new PGobject(); jsonObject.setType("jsonb"); jsonObject.setValue("\"key\": \"value\""); pstmt.setObject(1, jsonObject); Working with UUID pstmt.setObject(1, UUID.randomUUID()); Working with Arrays String[] tags = "java", "postgres", "jdbc"; Array sqlArray = conn.createArrayOf("text", tags); pstmt.setArray(1, sqlArray); 6. Connection Pooling: Don’t Open a Connection Per Request Creating a physical database connection for every request is expensive. Use HikariCP (the fastest and most popular pooling library). Use HikariCP (the fastest and most popular pooling library)