The node which runs the application code on the Spark cluster is Spark worker node. These are the slave nodes. Any of the worker nodes running executor can fail, thus resulting in loss of in-memory If any receivers were running on failed nodes, then their buffer data will be lost.
Ad Blocker Detected
Hello! We've noticed you're using an ad blocker. Our website relies on ad revenue to provide free content and support our operations. Please consider disabling your ad blocker or whitelist our website so you can enjoy our content. Thank you for understanding and supporting us