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What is a container in YARN? Is it same as the child JVM in which the tasks on the nodemanager run or is it different?
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By default, the RM will allow up to 8192MB ("yarn. scheduler. maximum-allocation-mb") to an Application Master (AM) container allocation request. The default minimum allocation is 1024MB ("yarn. scheduler.
x a slot is allocated by the JobTracker to run each MapReduce task. Then the TaskTracker spawns a separate JVM for each task(unless JVM reuse is not enabled). In Hadoop 2. x, Container is a place where a unit of work is executed. For instance, each MapReduce task(not the entire job) runs in one container.
Containers are computing units, a kind of wrappers for node resources to perform tasks of a user application. They are the main computing units that are managed by YARN. Containers have their own parameters that can be configured on-demand (e.g. ram, CPU, etc.).
A Container is a collection of physical resources on a single node, such as memory (RAM), CPU cores, and disks. There can be multiple Containers on a single Node (or a single large one). Every node in the system is considered to be composed of multiple Containers of minimum memory size (512MB or 1 GB, for example).
It represents a resource (memory) on a single node at a given cluster.
A container is
One MR task runs in such container(s).
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There can be multiple containers on a single Node (or a single very big one).
Every node in the system is considered to be composed of multiple containers of minimum size of memory (say 512MB or 1 GB). The ApplicationMaster can request any container as a multiple of the minimum memory size.
Source, see section ResourceManager/Resource Model.
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