Partek Flow Worker Allocator
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Partek
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A worker is a program installed on a single computer within a computer cluster and receives job requests from the Partek Flow server. The program will determine if the computer has the needed resources to complete the requested job, and based on the answer, deny or accept the job and report when completed. Workers can be allocated using the tool below.
Note: This tool requires the Flow rest API license feature
The configuration file flow.worker.allocator.json must exist in the home directory. If this file is not present, an example configuration file will be written by running the allocator like so:
The allocator will exit immediately so the example configuration file can be edited. This configuration file is documented in the Configuration File Format section below.
Note: The system’s temp folder (e.g. /tmp) must be writable and mounted with execute permissions in order for the allocator to run.
After flow.worker.allocator.json has been configured, run the allocator:
When prompted, enter the Flow administrator username and password. Upon success, an authentication token is stored in ~/flow.auth.json which is used for all following authentication attempts. If this token is removed, the allocator will again prompt for a Flow username and password. This token only allows access to the Flow rest API and if compromised can not be used to derive Flow account passwords.
The allocator takes no arguments. All configuration is stored in ~/flow.worker.allocator.json.
If the allocator was run as a foreground process, CONTROL-C or SIGTERM will cause the process to exit.
The allocator writes daily rotated log files to ~/flow.worker.allocator.log. For verbose output, set DebugMode to 1 in the configuration file.
Once configured, the allocator will poll the Flow server every CheckIntervalSec seconds to ask if there is pending work that would be able to start immediately if another Flow worker was added. If true, WorkerCounterCmd is used to query the job scheduler to see how many Flow workers have been allocated. If this is below the WorkerResourceLimit : MaxWorkers limit, one worker is allocated using WorkerAllocatorCmd.
It is recommended that WorkerResourceLimit : IdleShutdownMin be relatively short so that allocations are elastic: large workloads are able to allocate all available resources and quickly return those resources to the job scheduler when Flow workers are idle.
FlowAPITimeoutSec : integer
The length of time in seconds the allocator will wait for a response from the Flow server.
CheckIntervalSec : integer
The length of time in seconds the allocator will ask Flow if a worker is needed.
InfrastructureWaitTillUpdateTimeSec : integer
The allocator will communicate with the internal resource allocation infrastructure to see how many workers are running. In most cases, this infrastructure is a job scheduler (e.g. torque, lsf, sge) where there can be a delay between the request of resources and the acknowledgement that the request has been made. This parameter tells the allocator to wait for the job scheduler to update before making any further allocation decisions. Note: InfrastructureWaitTillUpdateTimeSec should be less than CheckIntervalSec.
DebugMode : integer
If set to 1, the allocator will use verbose logging. This includes reporting on all allocation decisions.
FlowExternalServerURL : string
The URL used to log into Flow. For example: http://flow.server.url:8080
This URL must be network accessible from the server running the allocator. If the allocator is running on the same server as the Flow server, this URL is likely to be http://localhost:8080
FlowServerWorkerConnectionHost : string
The DNS name or IP of the Flow server from the worker node’s perspective. In most cases, workers that are launched by a job scheduler run on a private network. This means the name of the Flow server that the worker needs to connect to may be different than the one listed under FlowExternalServerURL.
FlowDaemonUser : string
The Linux user under which job allocation requests are made. This is used when communicating with a job scheduler to query the number of running or pending Flow workers.
WorkerResourceLimit : JSON data
Defines resource limits for every allocated worker. These values are used by RunWorkerCMD and WorkerAllocatorCmd to inform the worker and job scheduler about resource requirements. The following are the resource limit types:
MaxWorkers : string
The maximum number of workers that will be allocated regardless of Flow resource demands. This should not be more than the licensed number of workers or more than the number of jobs the queue will accept for FlowDaemonUser.
MaxCores : string
This defines the maximum number of CPU cores that a worker will use. This should be consistent with the job queue limits.
MaxMemoryMB : string
The maximum amount of memory a worker is allowed to consume. This should be consistent with the job queue limits.
RuntimeMin : string
Maximum lifetime of a worker. This should be less than or equal to the runtime limits imposed by the job queue.
IdleShutdownMin : string
Flow workers that are idle for this number of minutes will auto-shutdown and release their resources back to the job scheduler.
RunWorkerCMD : JSON data
This is used to build the shell command which starts a Flow worker. This command is submitted to the job scheduler. The parameters are as follows:
Type : string
The only supported method at this time is SHELL.
Binary : string
The full path to partekFlowRemoteWorker.sh
Options : JSON data
These options must be consistent with those defined in WorkerResourceLimit and FlowServerWorkerConnectionHost. Each option is appended to the job submission command string in the same order it is defined here. The keys 1 … n are merely placeholders as is arg1. Keys labeled as @self refer to fields (referenced above) in this configuration file where their value (encoded as a simple array) denote the json key hierarchy from where to lookup this value. In most cases changes are not necessary unless a new type of worker limit is being added or removed.
WorkerAllocatorCmd : JSON data
This is used to build the shell command that interacts with the job scheduler. These values require modification based on the job scheduler, queue limits, and submission options.
Type : string
Defines the type of job scheduler. This is just a label and has no functional impact. Examples include: SGE, TORQUE, LSF, SWARMKIT.
Binary : string
The executable used to submit jobs. This must be in your path. Examples: bsub, qsub
Options : JSON data
Keys define the command line options (for example: -x, -q, -M). The values can be strings, null, or @self to read configuration options from this configuration file. @self can contain the key append in order to append static strings to command line values.
WorkerCounterCmd : JSON data
This is used to build the command that asks the job scheduler how many workers have been queued or are running. The output from this command is parsed according to the OutputParser definition.
Type : string
Defines the type of job scheduler. This is just a label and has no functional impact. Examples include: SGE, TORQUE, LSF, SWARMKIT
Binary : string
The executable used to query submitted job information. This must be in the user's path. Examples include: qstat, jobstat
Options : JSON data
Keys define the command line options (for example: -x, -q, -M). The values can be strings, null, or @self to read configuration options from this configuration file. @self can contain the key append in order to append static strings to command line values.
OutputParser: JSON data
Currently the only type is LineGrepCount which returns the number of lines output from WorkerCounterCmd that contain the strings defined by LineGrepCount.
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