How to implement Debian Hadoop resource isolation

Hadoop resource isolation is implemented on Debian mainly through **YARN's cgroups (control groups)* for resource management and isolation. The following are the specific implementation methods:

cgroups resource isolation

• Overview : Hadoop YARN uses cgroups for resource management and isolation. cgroups is a mechanism provided by the Linux kernel to limit, account, and isolate the resources of process groups (such as CPU, memory, disk I/O, etc.).
• Supported resources :
  • CPU: Limits the CPU resources that each container can use.
  • Memory: Limits the memory resources that each container can use.
  • Disk I/O: Limits the disk I/O resources that each container can use.
• Configuration : In YARN, the configuration information of cgroups is usually specified in the yarn-site.xml file. Configuration items include:
  • yarn.nodemanager.linux-container-executor.cgroups.hierarchy: The name of the cgroups hierarchy.
  • yarn.nodemanager.linux-container-executor.cgroups.mount: Whether to mount cgroups.

Kubernetes resource isolation

When deploying Hadoop on Kubernetes (K8s), resource isolation can be achieved in the following ways:

• Namespace : A namespace in Kubernetes provides a logical isolation that allows you to divide cluster resources into different groups, such as different project groups or user groups. The resources in each namespace are isolated from each other.
• Resource Quotas and LimitRange : Resource Quotas are used to limit the total amount of resources available in the entire namespace. The limit range is used to set the upper limit of CPU and memory usage for the Pod.
• Pod resource requests and limits : Specifying resource requests and limits for containers in a Pod is another way to achieve resource isolation.

Through the above mechanism, Hadoop's deployment on Debian can effectively achieve resource isolation, ensuring that the resource usage between different applications and users does not interfere with each other, thereby improving the overall resource utilization and stability of the cluster.

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