This is documentation for MapR Version 5.0. You can also refer to MapR documentation for the latest release.

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Label-based scheduling provides a way to allocate shared cluster resources on particular nodes in a cluster. First, you assign node labels in a text file. The node labels map to one or more nodes. Next, you can create queue labels and job labels based on the node labels.

When you run jobs, you can place them on specified nodes on a per-job basis (using a job label) or at the queue level (using a queue label). This feature is used in conjunction with schedulers, such as the Fair Scheduler or the Capacity Scheduler.

To learn more about label-based scheduling for MapReduce (MRv1) jobs, see Label-based Scheduling for MRv1 Jobs.

To learn more about label-based scheduling for YARN applications, such as MapReduce (MRv2) jobs, see Label-based Scheduling for YARN Applications.

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