Node labels

The use of Hadoop in the organization increases over time and they board more use cases to the Hadoop platform. The data pipeline in an organization consists of multiple jobs. A Spark job may need machines with more RAM and powerful processing capabilities but, on the other hand, MapReduce can run on less powerful machines. Therefore, it is obvious that a cluster may consist of different types of machines to save infrastructure costs. A Spark job may need machines with high processing capability.
YARN label is nothing but a marker for each machine so that machines with the same label name can be used for specific jobs. The nodes with more powerful processing capabilities can be labelled with the same name and then jobs that require more powerful machines can use the same node label during submission. Each node can only have one label assigned to it, which means...