Limits and Timeouts
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These are the configuration keys that control the capacity of the Bacalhau node, and the limits for jobs that might be run.
Compute.AllocatedCapacity.CPU
Specifies the amount of CPU a compute node allocates for running jobs. It
can be expressed as a percentage (e.g., 85%) or a Kubernetes resource string
Compute.AllocatedCapacity.Disk
Specifies the amount of Disk space a compute node allocates for running
jobs. It can be expressed as a percentage (e.g., 85%) or a Kubernetes resource string (e.g., 10Gi)
Compute.AllocatedCapacity.GPU
Specifies the amount of GPU a compute node allocates for running jobs. It can be expressed as a percentage (e.g., 85%) or a Kubernetes resource string (e.g., 1).
Note: When using percentages, the result is always rounded up to the nearest whole GPU
Compute.AllocatedCapacity.Memory
Specifies the amount of Memory a compute node allocates for running jobs. It can be expressed as a percentage (e.g., 85%) or a Kubernetes resource string (e.g., 1Gi)
It is also possible to additionally specify the number of resources to be allocated to each job by default, if the required number of resources is not specified in the job itself. JobDefaults.<>.Task.Resources.<Resource Type> configuration keys are used for this purpose. E.g. to provide each job with 2Gb of RAM the following key is used: JobDefaults.Ops.Task.Resources.Memory:
See the complete configuration keys list for more details.
Resource limits are not supported for Docker jobs running on Windows. Resource limits will be applied at the job bid stage based on reported job requirements but will be silently unenforced. Jobs will be able to access as many resources as requested at runtime.
Running a Windows-based node is not officially supported, so your mileage may vary. Some features (like resource limits) are not present in Windows-based nodes.
Bacalhau currently makes the assumption that all containers are Linux-based. Users of the Docker executor will need to manually ensure that their Docker engine is running and configured appropriately to support Linux containers, e.g. using the WSL-based backend.
Bacalhau can limit the total time a job spends executing. A job that spends too long executing will be cancelled, and no results will be published.
By default, a Bacalhau node does not enforce any limit on job execution time. Both node operators and job submitters can supply a maximum execution time limit. If a job submitter asks for a longer execution time than permitted by a node operator, their job will be rejected.
Applying job timeouts allows node operators to more fairly distribute the work submitted to their nodes. It also protects users from transient errors that result in their jobs waiting indefinitely.
Job submitters can pass the --timeout flag to any Bacalhau job submission CLI to set a maximum job execution time. The supplied value should be a whole number of seconds with no unit.
The timeout can also be added to an existing job spec by adding the Timeout property to the Spec.