hello @Salah K.​ you can try configuring spark.executor.memory from cluster spark configuration.

total_executor_memory = (total_ram_per_node -1) / executor_per_node

total_executor_memory = (64–1)/3 = 21(rounded down)

spark.executor.memory = total_executor_memory * 0.9

spark.executor.memory = 21*0.9 = 18 (rounded down)

memory_overhead = 21*0.1 = 3 (rounded up)