“Okay, folks,” he said, “let’s use this moment to discuss . In a production environment, you won’t have the luxury of unlimited memory. Let’s walk through how to diagnose and fix this.”
He reran the , now pointing to the enhanced Docker container with a 2 GB heap and gzip compression enabled. The execution log displayed: SSIS-732-EN-JAVHD-TODAY-0804202302-26-30 Min
Next, he added a (the bridge to Java). He pointed it at a locally running Docker container: “Okay, folks,” he said, “let’s use this moment
Maya scribbled notes. She imagined the flow as a river, where the Java component was a hidden tributary feeding into a larger stream of data. The key challenge, Dr. Liu warned, was : the JVM needed its own heap, and SSIS packages often ran on limited server resources. The solution: containerize the Java component using Docker, then invoke it via a local REST endpoint from the data flow. The execution log displayed: Next, he added a
Error: OutOfMemoryError: Java heap space The audience gasped. The stalled, and the execution stopped at 14.8 seconds . Dr. Liu’s smile faded into a grimace.