Job

Note

This supersedes the pyslurm.slurmdb_job class, which will be removed in a future release

pyslurm.db.Job

A Slurm Database Job.

Parameters:

Name	Type	Description	Default
job_id	int	An Integer representing a Job-ID.	0
cluster	str	Name of the Cluster for this Job. Default is the name of the local Cluster.	None

Other Parameters:

Name	Type	Description
admin_comment	str	Admin comment for the Job.
comment	str	Comment for the Job
wckey	str	Name of the WCKey for this Job
derived_exit_code	int	Highest exit code of all the Job steps
extra	str	Arbitrary string that can be stored with a Job.

Attributes:

Name	Type	Description
steps	pyslurm.db.JobSteps	Steps this Job has
stats	pyslurm.db.JobStatistics	Utilization statistics of this Job
account	str	Account of the Job.
admin_comment	str	Admin comment for the Job.
num_nodes	int	Amount of nodes this Job has allocated (if it is running) or requested (if it is still pending).
array_id	int	The master Array-Job ID.
array_tasks_parallel	int	Max number of array tasks allowed to run simultaneously.
array_task_id	int	Array Task ID of this Job if it is an Array-Job.
array_tasks_waiting	str	Array Tasks that are still waiting.
association_id	int	ID of the Association this job runs in.
block_id	str	Name of the block used (for BlueGene Systems)
cluster	str	Cluster this Job belongs to
constraints	str	Constraints of the Job
container	str	Path to OCI Container bundle
db_index	int	Unique database index of the Job in the job table
derived_exit_code	int	Highest exit code of all the Job steps
derived_exit_code_signal	int	Signal of the derived exit code
comment	str	Comment for the Job
elapsed_time	int	Amount of seconds elapsed for the Job
eligible_time	int	When the Job became eligible to run, as a unix timestamp
end_time	int	When the Job ended, as a unix timestamp
extra	str	Arbitrary string that can be stored with a Job.
exit_code	int	Exit code of the job script or salloc.
exit_code_signal	int	Signal of the exit code for this Job.
failed_node	str	Name of the failed node that caused the job to get killed.
group_id	int	ID of the group for this Job
group_name	str	Name of the group for this Job
id	int	ID of the Job
name	str	Name of the Job
mcs_label	str	MCS Label of the Job
nodelist	str	Nodes this Job is using
partition	str	Name of the Partition for this Job
priority	int	Priority for the Job
qos	str	Name of the Quality of Service for the Job
cpus	int	Amount of CPUs the Job has/had allocated, or, if the Job is still pending, this will reflect the amount requested.
memory	int	Amount of memory the Job requested in total
reservation	str	Name of the Reservation for this Job
script	str	The batch script for this Job. Note: Only available if the "with_script" condition was given
start_time	int	Time when the Job started, as a unix timestamp
state	str	State of the Job
state_reason	str	Last reason a Job was blocked from running
cancelled_by	str	Name of the User who cancelled this Job
submit_time	int	Time the Job was submitted, as a unix timestamp
submit_command	str	Full command issued to submit the Job
suspended_time	int	Amount of seconds the Job was suspended
system_comment	str	Arbitrary System comment for the Job
time_limit	int	Time limit of the Job in minutes
user_id	int	UID of the User this Job belongs to
user_name	str	Name of the User this Job belongs to
wckey	str	Name of the WCKey for this Job
working_directory	str	Working directory of the Job

load(job_id, cluster=None, with_script=False, with_env=False) staticmethod

Load the information for a specific Job from the Database.

Parameters:

Name	Type	Description	Default
job_id	int	ID of the Job to be loaded.	required
cluster	str	Name of the Cluster to search in. Default is the local Cluster.	None
with_script	bool	Whether the Job-Script should also be loaded. Mutually exclusive with with_env.	False
with_env	bool	Whether the Job Environment should also be loaded. Mutually exclusive with with_script.	False

Returns:

Type	Description
pyslurm.db.Job	Returns a new Database Job instance

Raises:

Type	Description
RPCError	If requesting the information for the database Job was not sucessful.

Examples:

>>> import pyslurm
>>> db_job = pyslurm.db.Job.load(10000)

In the above example, attributes like script and environment are not populated. You must explicitly request one of them to be loaded:

>>> import pyslurm
>>> db_job = pyslurm.db.Job.load(10000, with_script=True)
>>> print(db_job.script)

modify(changes, db_connection=None) method descriptor

Modify a Slurm database Job.

Parameters:

Name	Type	Description	Default
changes	pyslurm.db.Job	Another pyslurm.db.Job object that contains all the changes to apply. Check the Other Parameters of the pyslurm.db.Job class to see which properties can be modified.	required
db_connection	pyslurm.db.Connection	A slurmdbd connection. See pyslurm.db.Jobs.modify for more info on this parameter.	None

Raises:

Type	Description
RPCError	When modifying the Job failed.

to_dict() method descriptor

Convert Database Job information to a dictionary.

Returns:

Type	Description
dict	Database Job information as dict

Examples:

>>> import pyslurm
>>> myjob = pyslurm.db.Job.load(10000)
>>> myjob_dict = myjob.to_dict()

pyslurm.db.Jobs

Bases: MultiClusterMap

A Multi Cluster collection of pyslurm.db.Job objects.

load(db_filter=None, db_connection=None) staticmethod

Load Jobs from the Slurm Database

Implements the slurmdb_jobs_get RPC.

Parameters:

Name	Type	Description	Default
db_filter	pyslurm.db.JobFilter	A search filter that the slurmdbd will apply when retrieving Jobs from the database.	None
db_connection	pyslurm.db.Connection	An open database connection. By default if none is specified, one will be opened automatically.	None

Returns:

Type	Description
pyslurm.db.Jobs	A Collection of database Jobs.

Raises:

Type	Description
RPCError	When getting the Jobs from the Database was not sucessful

Examples:

Without a Filter the default behaviour applies, which is simply retrieving all Jobs from the same day:

>>> import pyslurm
>>> db_jobs = pyslurm.db.Jobs.load()
>>> print(db_jobs)
pyslurm.db.Jobs({1: pyslurm.db.Job(1), 2: pyslurm.db.Job(2)})
>>> print(db_jobs[1])
pyslurm.db.Job(1)

Now with a Job Filter, so only Jobs that have specific Accounts are returned:

>>> import pyslurm
>>> accounts = ["acc1", "acc2"]
>>> db_filter = pyslurm.db.JobFilter(accounts=accounts)
>>> db_jobs = pyslurm.db.Jobs.load(db_filter)

modify(db_filter, changes, db_connection=None) staticmethod

Modify Slurm database Jobs.

Implements the slurm_job_modify RPC.

Parameters:

Name	Type	Description	Default
db_filter	Union[pyslurm.db.JobFilter, pyslurm.db.Jobs]	A filter to decide which Jobs should be modified.	required
changes	pyslurm.db.Job	Another pyslurm.db.Job object that contains all the changes to apply. Check the Other Parameters of the pyslurm.db.Job class to see which properties can be modified.	required
db_connection	pyslurm.db.Connection	A Connection to the slurmdbd. By default, if no connection is supplied, one will automatically be created internally. This means that when the changes were considered successful by the slurmdbd, those modifications will be automatically committed. If you however decide to provide your own Connection instance (which must be already opened before), and the changes were successful, they will basically be in a kind of "staging area". By the time this function returns, the changes are not actually made. You are then responsible to decide whether the changes should be committed or rolled back by using the respective methods on the connection object. This way, you have a chance to see which Jobs were modified before you commit the changes.	None

Returns:

Type	Description
list[int]	A list of Jobs that were modified

Raises:

Type	Description
RPCError	When a failure modifying the Jobs occurred.

Examples:

In its simplest form, you can do something like this:

>>> import pyslurm
>>> 
>>> db_filter = pyslurm.db.JobFilter(ids=[9999])
>>> changes = pyslurm.db.Job(comment="A comment for the job")
>>> modified_jobs = pyslurm.db.Jobs.modify(db_filter, changes)
>>> print(modified_jobs)
[9999]

In the above example, the changes will be automatically committed if successful. You can however also control this manually by providing your own connection object:

>>> import pyslurm
>>> 
>>> db_conn = pyslurm.db.Connection.open()
>>> db_filter = pyslurm.db.JobFilter(ids=[9999])
>>> changes = pyslurm.db.Job(comment="A comment for the job")
>>> modified_jobs = pyslurm.db.Jobs.modify(
...             db_filter, changes, db_conn)

Now you can first examine which Jobs have been modified:

>>> print(modified_jobs)
[9999]

And then you can actually commit the changes:

>>> db_conn.commit()

You can also explicitly rollback these changes instead of committing, so they will not become active:

>>> db_conn.rollback()