Spark Dynamic Resource Allocation Explained

Dynamic resource allocation in Spark refers to adjusting cluster resources allocation based on the current resource demand while running Spark applications. This feature allows Spark applications to increase or reduce resource allocation as needed during runtime, aiming to enhance cluster resource utilization and application performance.

Dynamic resource allocation can automatically add or release resources based on the needs of the application, ensuring that there are enough resources available for the application while avoiding waste. This flexible resource management approach can help Spark applications better adapt to different workloads, improving processing capability and performance.