Can network issues contribute to the 'py4j.java_error'?

Yes, network problems can definitely be a factor. The PySpark driver and executors communicate over the network. Network instability, firewall issues, or DNS resolution problems can disrupt this communication and lead to the 'py4j.java_error'. Check network connectivity between the driver and executors. Ensure that necessary ports are open and that DNS is resolving correctly.