def queue_job(self, job_wrapper):
"""Create job script and submit it to Kubernetes cluster"""
# prepare the job
# We currently don't need to include_metadata or include_work_dir_outputs, as working directory is the same
# were galaxy will expect results.
log.debug("Starting queue_job for job " + job_wrapper.get_id_tag())
if not self.prepare_job(job_wrapper, include_metadata=False, modify_command_for_container=False):
return
job_destination = job_wrapper.job_destination
# Construction of the Kubernetes Job object follows: http://kubernetes.io/docs/user-guide/persistent-volumes/
k8s_job_name = self.__produce_unique_k8s_job_name(job_wrapper.get_id_tag())
k8s_job_obj = {
"apiVersion": self.runner_params['k8s_job_api_version'],
"kind": "Job",
"metadata": {
# metadata.name is the name of the pod resource created, and must be unique
# http://kubernetes.io/docs/user-guide/configuring-containers/
"name": k8s_job_name,
"namespace": self.runner_params['k8s_namespace'],
"labels": {"app": k8s_job_name}
},
"spec": self.__get_k8s_job_spec(job_wrapper)
}
# Checks if job exists and is trusted, or if it needs re-creation.
job = Job(self._pykube_api, k8s_job_obj)
if job.exists() and not self._galaxy_instance_id:
# if galaxy instance id is not set, then we don't trust matching jobs and we simply delete and
# re-create the job
log.debug("Matching job exists, but Job is not trusted, so it will be deleted and a new one created.")
job.delete()
elapsed_seconds = 0
while job.exists():
sleep(3)
elapsed_seconds += 3
if elapsed_seconds > self.runner_params['k8s_timeout_seconds_job_deletion']:
log.debug("Timed out before k8s could delete existing untrusted job " + k8s_job_name +
", not queuing associated Galaxy job.")
return
log.debug("Waiting for job to be deleted " + k8s_job_name)
Job(self._pykube_api, k8s_job_obj).create()
elif job.exists() and self._galaxy_instance_id:
# The job exists and we trust the identifier.
log.debug("Matching job exists, but Job is trusted, so we simply use the existing one for " + k8s_job_name)
# We simply leave the k8s job to be handled later on by the check watched-items.
else:
# Creates the Kubernetes Job if it doesn't exist.
job.create()
# define job attributes in the AsyncronousJobState for follow-up
ajs = AsynchronousJobState(files_dir=job_wrapper.working_directory, job_wrapper=job_wrapper,
job_id=k8s_job_name, job_destination=job_destination)
self.monitor_queue.put(ajs)
# external_runJob_script can be None, in which case it's not used.
external_runjob_script = None
return external_runjob_script
def run(self):
if self.runlocal:
Task.run(self)
else:
# KubernetesJobTask.run()
self._init_kubernetes()
# Render job
job_json = self._create_job_json()
job_json = self._add_env_variables(job_json)
if self.active_deadline_seconds is not None:
job_json['spec']['activeDeadlineSeconds'] = \
self.active_deadline_seconds
# Update user labels
job_json['metadata']['labels'].update(self.labels)
# Add default restartPolicy if not specified
if "restartPolicy" not in self.spec_schema:
job_json["spec"]["template"]["spec"]["restartPolicy"] = "Never"
# Submit job
self.__logger.info("Submitting Kubernetes Job: " + self.uu_name)
job = Job(self.__kube_api, job_json)
job.create()
# Track the Job (wait while active)
self.__logger.info("Start tracking Kubernetes Job: " + self.uu_name)
self.__track_job()
def run(self):
self._init_kubernetes()
# Render job
job_json = {
"apiVersion": "batch/v1",
"kind": "Job",
"metadata": {
"name": self.uu_name,
"labels": {
"spawned_by": "luigi",
"luigi_task_id": self.job_uuid
}
},
"spec": {
"activeDeadlineSeconds": self.active_deadline_seconds,
"template": {
"metadata": {
"name": self.uu_name
},
"spec": self.spec_schema
}
}
}
# Update user labels
job_json['metadata']['labels'].update(self.labels)
# Add default restartPolicy if not specified
if "restartPolicy" not in self.spec_schema:
job_json["spec"]["template"]["spec"]["restartPolicy"] = "Never"
# Submit job
self.__logger.info("Submitting Kubernetes Job: " + self.uu_name)
job = Job(self.__kube_api, job_json)
job.create()
# Track the Job (wait while active)
self.__logger.info("Start tracking Kubernetes Job: " + self.uu_name)
self.__track_job()
def check_watched_item(self, job_state):
"""Checks the state of a job already submitted on k8s. Job state is a AsynchronousJobState"""
jobs = Job.objects(self._pykube_api).filter(selector="app=" + job_state.job_id,
namespace=self.runner_params['k8s_namespace'])
if len(jobs.response['items']) == 1:
job = Job(self._pykube_api, jobs.response['items'][0])
job_destination = job_state.job_wrapper.job_destination
succeeded = 0
active = 0
failed = 0
max_pod_retrials = 1
if 'k8s_pod_retrials' in self.runner_params:
max_pod_retrials = int(self.runner_params['k8s_pod_retrials'])
if 'max_pod_retrials' in job_destination.params:
max_pod_retrials = int(job_destination.params['max_pod_retrials'])
if 'succeeded' in job.obj['status']:
succeeded = job.obj['status']['succeeded']
if 'active' in job.obj['status']:
active = job.obj['status']['active']
if 'failed' in job.obj['status']:
failed = job.obj['status']['failed']
# This assumes jobs dependent on a single pod, single container
if succeeded > 0:
self.__produce_log_file(job_state)
with open(job_state.error_file, 'w'):
pass
job_state.running = False
self.mark_as_finished(job_state)
return None
elif failed > 0 and self.__job_failed_due_to_low_memory(job_state):
return self._handle_job_failure(job, job_state, reason="OOM")
elif active > 0 and failed <= max_pod_retrials:
job_state.running = True
return job_state
elif failed > max_pod_retrials:
return self._handle_job_failure(job, job_state)
# We should not get here
log.debug(
"Reaching unexpected point for Kubernetes job name %s where it is not classified as succ., active nor failed.", job.name)
log.debug("k8s full job object:\n%s", job.obj)
return job_state
elif len(jobs.response['items']) == 0:
# there is no job responding to this job_id, it is either lost or something happened.
log.error("No Jobs are available under expected selector app=" + job_state.job_id)
with open(job_state.error_file, 'w') as error_file:
error_file.write("No Kubernetes Jobs are available under expected selector app=" + job_state.job_id + "\n")
self.mark_as_failed(job_state)
return job_state
else:
# there is more than one job associated to the expected unique job id used as selector.
log.error("There is more than one Kubernetes Job associated to job id " + job_state.job_id)
self.__produce_log_file(job_state)
with open(job_state.error_file, 'w') as error_file:
error_file.write("There is more than one Kubernetes Job associated to job id " + job_state.job_id + "\n")
self.mark_as_failed(job_state)
return job_state
def run(self):
self._init_kubernetes()
# Render job
job_json = {
"apiVersion": "batch/v1",
"kind": "Job",
"metadata": {
"name": self.uu_name,
"labels": {
"spawned_by": "luigi",
"luigi_task_id": self.job_uuid
}
},
"spec": {
"template": {
"metadata": {
"name": self.uu_name
},
"spec": self.spec_schema
}
}
}
# Update user labels
job_json['metadata']['labels'].update(self.labels)
# Add default restartPolicy if not specified
if ("restartPolicy" not in self.spec_schema):
job_json["spec"]["template"]["spec"]["restartPolicy"] = "Never"
# Submit job
self.__logger.info("Submitting Kubernetes Job: " + self.uu_name)
job = Job(self.__kube_api, job_json)
job.create()
# Track the Job (wait while active)
self.__logger.info("Start tracking Kubernetes Job: " + self.uu_name)
self.__track_job()
def __get_job(self):
jobs = Job.objects(self.__kube_api) \
.filter(namespace=self.job_namespace, selector="luigi_task_id=" + self.job_uuid) \
.response['items']
assert len(jobs) == 1, "Kubernetes job " + self.job_namespace +"/"+ self.uu_name + " not found" "(job_uuid= "+ self.job_uuid + ")"
return Job(self.__kube_api, jobs[0])
def test_fail_job(self):
fail = FailJob()
self.assertRaises(RuntimeError, fail.run)
# Check for retrials
kube_api = HTTPClient(
KubeConfig.from_file("~/.kube/config")) # assumes minikube
jobs = Job.objects(kube_api).filter(selector="luigi_task_id=" +
fail.job_uuid)
self.assertEqual(len(jobs.response["items"]), 1)
job = Job(kube_api, jobs.response["items"][0])
self.assertTrue("failed" in job.obj["status"])
self.assertTrue(job.obj["status"]["failed"] > fail.max_retrials)
def stop_job(self, job):
"""Attempts to delete a dispatched job to the k8s cluster"""
try:
jobs = Job.objects(self._pykube_api).filter(selector="app=" +
self.__produce_unique_k8s_job_name(job.get_id_tag()))
if len(jobs.response['items']) >= 0:
job_to_delete = Job(self._pykube_api, jobs.response['items'][0])
job_to_delete.scale(replicas=0)
# TODO assert whether job parallelism == 0
# assert not job_to_delete.exists(), "Could not delete job,"+job.job_runner_external_id+" it still exists"
log.debug("(%s/%s) Terminated at user's request" % (job.id, job.job_runner_external_id))
except Exception as e:
log.debug("(%s/%s) User killed running job, but error encountered during termination: %s" % (
job.id, job.job_runner_external_id, e))
def queue_job(self, job_wrapper):
"""Create job script and submit it to Kubernetes cluster"""
# prepare the job
# We currently don't need to include_metadata or include_work_dir_outputs, as working directory is the same
# were galaxy will expect results.
log.debug("Starting queue_job for job " + job_wrapper.get_id_tag())
if not self.prepare_job(job_wrapper, include_metadata=False, modify_command_for_container=False):
return
job_destination = job_wrapper.job_destination
# Construction of the Kubernetes Job object follows: http://kubernetes.io/docs/user-guide/persistent-volumes/
k8s_job_name = self.__produce_unique_k8s_job_name(job_wrapper.get_id_tag())
k8s_job_obj = {
"apiVersion": self.runner_params['k8s_job_api_version'],
"kind": "Job",
"metadata": {
# metadata.name is the name of the pod resource created, and must be unique
# http://kubernetes.io/docs/user-guide/configuring-containers/
"name": k8s_job_name,
"namespace": self.runner_params['k8s_namespace'],
"labels": {"app": k8s_job_name}
},
"spec": self.__get_k8s_job_spec(job_wrapper)
}
# Checks if job exists and is trusted, or if it needs re-creation.
job = Job(self._pykube_api, k8s_job_obj)
if job.exists() and not self._galaxy_instance_id:
# if galaxy instance id is not set, then we don't trust matching jobs and we simply delete and
# re-create the job
log.debug("Matching job exists, but Job is not trusted, so it will be deleted and a new one created.")
job.delete()
elapsed_seconds = 0
while job.exists():
sleep(3)
elapsed_seconds += 3
if elapsed_seconds > self.runner_params['k8s_timeout_seconds_job_deletion']:
log.debug("Timed out before k8s could delete existing untrusted job " + k8s_job_name +
", not queuing associated Galaxy job.")
return
log.debug("Waiting for job to be deleted " + k8s_job_name)
Job(self._pykube_api, k8s_job_obj).create()
elif job.exists() and self._galaxy_instance_id:
# The job exists and we trust the identifier.
log.debug("Matching job exists, but Job is trusted, so we simply use the existing one for " + k8s_job_name)
# We simply leave the k8s job to be handled later on by the check watched-items.
else:
# Creates the Kubernetes Job if it doesn't exist.
job.create()
# define job attributes in the AsyncronousJobState for follow-up
ajs = AsynchronousJobState(files_dir=job_wrapper.working_directory, job_wrapper=job_wrapper,
job_id=k8s_job_name, job_destination=job_destination)
self.monitor_queue.put(ajs)
# external_runJob_script can be None, in which case it's not used.
external_runjob_script = None
return external_runjob_script
def stop_job(self, job_wrapper):
"""Attempts to delete a dispatched job to the k8s cluster"""
job = job_wrapper.get_job()
try:
jobs = Job.objects(self._pykube_api).filter(selector="app=" +
self.__produce_unique_k8s_job_name(job.get_id_tag()))
if len(jobs.response['items']) >= 0:
job_to_delete = Job(self._pykube_api, jobs.response['items'][0])
job_to_delete.scale(replicas=0)
# TODO assert whether job parallelism == 0
# assert not job_to_delete.exists(), "Could not delete job,"+job.job_runner_external_id+" it still exists"
log.debug("(%s/%s) Terminated at user's request" % (job.id, job.job_runner_external_id))
except Exception as e:
log.debug("(%s/%s) User killed running job, but error encountered during termination: %s" % (
job.id, job.job_runner_external_id, e))
def run(self):
self._init_kubernetes()
# Render job
job_json = {
"apiVersion": "batch/v1",
"kind": "Job",
"metadata": {
"name": self.uu_name,
"labels": {
"spawned_by": "luigi",
"luigi_task_id": self.job_uuid
}
},
"spec": {
"backoffLimit": self.backoff_limit,
"template": {
"metadata": {
"name": self.uu_name,
"labels": {}
},
"spec": self.spec_schema
}
}
}
if self.kubernetes_namespace is not None:
job_json['metadata']['namespace'] = self.kubernetes_namespace
if self.active_deadline_seconds is not None:
job_json['spec']['activeDeadlineSeconds'] = \
self.active_deadline_seconds
# Update user labels
job_json['metadata']['labels'].update(self.labels)
job_json['spec']['template']['metadata']['labels'].update(self.labels)
# Add default restartPolicy if not specified
if "restartPolicy" not in self.spec_schema:
job_json["spec"]["template"]["spec"]["restartPolicy"] = "Never"
# Submit job
self.__logger.info("Submitting Kubernetes Job: " + self.uu_name)
job = Job(self.__kube_api, job_json)
job.create()
# Track the Job (wait while active)
self.__logger.info("Start tracking Kubernetes Job: " + self.uu_name)
try:
self.__track_job()
except AssertionError:
self.__print_pod_logs()
raise
def queue_job(self, job_wrapper):
"""Create job script and submit it to Kubernetes cluster"""
# prepare the job
# We currently don't need to include_metadata or include_work_dir_outputs, as working directory is the same
# were galaxy will expect results.
log.debug("Starting queue_job for job " + job_wrapper.get_id_tag())
if not self.prepare_job(job_wrapper, include_metadata=False, modify_command_for_container=False):
return
job_destination = job_wrapper.job_destination
# Construction of the Kubernetes Job object follows: http://kubernetes.io/docs/user-guide/persistent-volumes/
k8s_job_name = self.__produce_unique_k8s_job_name(job_wrapper.get_id_tag())
k8s_job_obj = {
"apiVersion": "extensions/v1beta1",
"kind": "Job",
"metadata":
# metadata.name is the name of the pod resource created, and must be unique
# http://kubernetes.io/docs/user-guide/configuring-containers/
{
"name": k8s_job_name,
"namespace": "default", # TODO this should be set
"labels": {"app": k8s_job_name},
}
,
"spec": self.__get_k8s_job_spec(job_wrapper)
}
# Checks if job exists
job = Job(self._pykube_api, k8s_job_obj)
if job.exists():
job.delete()
# Creates the Kubernetes Job
# TODO if a job with that ID exists, what should we do?
# TODO do we trust that this is the same job and use that?
# TODO or create a new job as we cannot make sure
Job(self._pykube_api, k8s_job_obj).create()
# define job attributes in the AsyncronousJobState for follow-up
ajs = AsynchronousJobState(files_dir=job_wrapper.working_directory, job_wrapper=job_wrapper,
job_id=k8s_job_name, job_destination=job_destination)
self.monitor_queue.put(ajs)
# external_runJob_script can be None, in which case it's not used.
external_runjob_script = None
return external_runjob_script
def test_fail_job(self):
fail = FailJob()
self.assertRaises(RuntimeError, fail.run)
# Check for retrials
kube_api = HTTPClient(KubeConfig.from_file("~/.kube/config")) # assumes minikube
jobs = Job.objects(kube_api).filter(selector="luigi_task_id="
+ fail.job_uuid)
self.assertEqual(len(jobs.response["items"]), 1)
job = Job(kube_api, jobs.response["items"][0])
self.assertTrue("failed" in job.obj["status"])
self.assertTrue(job.obj["status"]["failed"] > fail.max_retrials)
def queue_job(self, job_wrapper):
"""Create job script and submit it to Kubernetes cluster"""
# prepare the job
# We currently don't need to include_metadata or include_work_dir_outputs, as working directory is the same
# were galaxy will expect results.
log.debug("Starting queue_job for job " + job_wrapper.get_id_tag())
if not self.prepare_job(job_wrapper,
include_metadata=False,
modify_command_for_container=False):
return
job_destination = job_wrapper.job_destination
# Construction of the Kubernetes Job object follows: http://kubernetes.io/docs/user-guide/persistent-volumes/
k8s_job_name = self.__produce_unique_k8s_job_name(
job_wrapper.get_id_tag())
k8s_job_obj = {
"apiVersion": "extensions/v1beta1",
"kind": "Job",
"metadata":
# metadata.name is the name of the pod resource created, and must be unique
# http://kubernetes.io/docs/user-guide/configuring-containers/
{
"name": k8s_job_name,
"namespace": "default", # TODO this should be set
"labels": {
"app": k8s_job_name
},
},
"spec": self.__get_k8s_job_spec(job_wrapper)
}
# Checks if job exists
job = Job(self._pykube_api, k8s_job_obj)
if job.exists():
job.delete()
# Creates the Kubernetes Job
# TODO if a job with that ID exists, what should we do?
# TODO do we trust that this is the same job and use that?
# TODO or create a new job as we cannot make sure
Job(self._pykube_api, k8s_job_obj).create()
# define job attributes in the AsyncronousJobState for follow-up
ajs = AsynchronousJobState(files_dir=job_wrapper.working_directory,
job_wrapper=job_wrapper,
job_id=k8s_job_name,
job_destination=job_destination)
self.monitor_queue.put(ajs)
# external_runJob_script can be None, in which case it's not used.
external_runjob_script = None
return external_runjob_script
def __get_job_status(self):
"""Return the Kubernetes job status"""
# Look for the required job
jobs = Job.objects(self.__kube_api).filter(selector="luigi_task_id=" +
self.job_uuid)
# Raise an exception if no such job found
if len(jobs.response["items"]) == 0:
raise RuntimeError("Kubernetes job " + self.uu_name + " not found")
# Figure out status and return it
job = Job(self.__kube_api, jobs.response["items"][0])
if ("succeeded" in job.obj["status"]
and job.obj["status"]["succeeded"] > 0):
job.scale(replicas=0) # Downscale the job, but keep it for logging
return "succeeded"
if ("failed" in job.obj["status"]):
failed_cnt = job.obj["status"]["failed"]
self.__logger.debug("Kubernetes job " + self.uu_name +
" status.failed: " + str(failed_cnt))
if (failed_cnt > self.max_retrials):
job.scale(replicas=0) # avoid more retrials
return "failed"
return "running"
def check_watched_item(self, job_state):
"""Checks the state of a job already submitted on k8s. Job state is a AsynchronousJobState"""
jobs = Job.objects(self._pykube_api).filter(
selector="app=" + job_state.job_id,
namespace=self.runner_params['k8s_namespace'])
if len(jobs.response['items']) == 1:
job = Job(self._pykube_api, jobs.response['items'][0])
job_destination = job_state.job_wrapper.job_destination
succeeded = 0
active = 0
failed = 0
max_pod_retrials = 1
if 'k8s_pod_retrials' in self.runner_params:
max_pod_retrials = int(self.runner_params['k8s_pod_retrials'])
if 'max_pod_retrials' in job_destination.params:
max_pod_retrials = int(
job_destination.params['max_pod_retrials'])
if 'succeeded' in job.obj['status']:
succeeded = job.obj['status']['succeeded']
if 'active' in job.obj['status']:
active = job.obj['status']['active']
if 'failed' in job.obj['status']:
failed = job.obj['status']['failed']
# This assumes jobs dependent on a single pod, single container
if succeeded > 0:
job_state.running = False
self.mark_as_finished(job_state)
return None
elif failed > 0 and self.__job_failed_due_to_low_memory(job_state):
return self._handle_job_failure(job, job_state, reason="OOM")
elif active > 0 and failed <= max_pod_retrials:
if not job_state.running:
job_state.running = True
job_state.job_wrapper.change_state(
model.Job.states.RUNNING)
return job_state
elif failed > max_pod_retrials:
return self._handle_job_failure(job, job_state)
elif job_state.job_wrapper.get_job(
).state == model.Job.states.DELETED:
# Job has been deleted via stop_job, cleanup and remove from watched_jobs by returning `None`
if job_state.job_wrapper.cleanup_job in ("always",
"onsuccess"):
job_state.job_wrapper.cleanup()
return None
else:
# We really shouldn't reach this point, but we might if the job has been killed by the kubernetes admin
log.info(
"Kubernetes job '%s' not classified as succ., active or failed. Full Job object: \n%s",
job.name, job.obj)
elif len(jobs.response['items']) == 0:
# there is no job responding to this job_id, it is either lost or something happened.
log.error("No Jobs are available under expected selector app=%s",
job_state.job_id)
with open(job_state.error_file, 'w') as error_file:
error_file.write(
"No Kubernetes Jobs are available under expected selector app=%s\n"
% job_state.job_id)
self.mark_as_failed(job_state)
return job_state
else:
# there is more than one job associated to the expected unique job id used as selector.
log.error("More than one Kubernetes Job associated to job id '%s'",
job_state.job_id)
with open(job_state.error_file, 'w') as error_file:
error_file.write(
"More than one Kubernetes Job associated to job id '%s'\n"
% job_state.job_id)
self.mark_as_failed(job_state)
return job_state
def check_watched_item(self, job_state):
"""Checks the state of a job already submitted on k8s. Job state is a AsynchronousJobState"""
jobs = Job.objects(self._pykube_api).filter(selector="app=" + job_state.job_id)
if len(jobs.response['items']) == 1:
job = Job(self._pykube_api, jobs.response['items'][0])
job_destination = job_state.job_wrapper.job_destination
succeeded = 0
active = 0
failed = 0
max_pod_retrials = 1
if 'k8s_pod_retrials' in self.runner_params:
max_pod_retrials = int(self.runner_params['k8s_pod_retrials'])
if 'max_pod_retrials' in job_destination.params:
max_pod_retrials = int(job_destination.params['max_pod_retrials'])
if 'succeeded' in job.obj['status']:
succeeded = job.obj['status']['succeeded']
if 'active' in job.obj['status']:
active = job.obj['status']['active']
if 'failed' in job.obj['status']:
failed = job.obj['status']['failed']
# This assumes jobs dependent on a single pod, single container
if succeeded > 0:
self.__produce_log_file(job_state)
error_file = open(job_state.error_file, 'w')
error_file.write("")
error_file.close()
job_state.running = False
self.mark_as_finished(job_state)
return None
elif active > 0 and failed <= max_pod_retrials:
job_state.running = True
return job_state
elif failed > max_pod_retrials:
self.__produce_log_file(job_state)
error_file = open(job_state.error_file, 'w')
error_file.write("Exceeded max number of Kubernetes pod retrials allowed for job\n")
error_file.close()
job_state.running = False
job_state.fail_message = "More pods failed than allowed. See stdout for pods details."
self.mark_as_failed(job_state)
job.scale(replicas=0)
return None
# We should not get here
log.debug(
"Reaching unexpected point for Kubernetes job, where it is not classified as succ., active nor failed.")
return job_state
elif len(jobs.response['items']) == 0:
# there is no job responding to this job_id, it is either lost or something happened.
log.error("No Jobs are available under expected selector app=" + job_state.job_id)
error_file = open(job_state.error_file, 'w')
error_file.write("No Kubernetes Jobs are available under expected selector app=" + job_state.job_id + "\n")
error_file.close()
self.mark_as_failed(job_state)
return job_state
else:
# there is more than one job associated to the expected unique job id used as selector.
log.error("There is more than one Kubernetes Job associated to job id " + job_state.job_id)
self.__produce_log_file(job_state)
error_file = open(job_state.error_file, 'w')
error_file.write("There is more than one Kubernetes Job associated to job id " + job_state.job_id + "\n")
error_file.close()
self.mark_as_failed(job_state)
return job_state
def check_watched_item(self, job_state):
"""Checks the state of a job already submitted on k8s. Job state is a AsynchronousJobState"""
jobs = Job.objects(self._pykube_api).filter(selector="app=" +
job_state.job_id)
if len(jobs.response['items']) == 1:
job = Job(self._pykube_api, jobs.response['items'][0])
job_destination = job_state.job_wrapper.job_destination
succeeded = 0
active = 0
failed = 0
max_pod_retrials = 1
if 'k8s_pod_retrials' in self.runner_params:
max_pod_retrials = int(self.runner_params['k8s_pod_retrials'])
if 'max_pod_retrials' in job_destination.params:
max_pod_retrials = int(
job_destination.params['max_pod_retrials'])
if 'succeeded' in job.obj['status']:
succeeded = job.obj['status']['succeeded']
if 'active' in job.obj['status']:
active = job.obj['status']['active']
if 'failed' in job.obj['status']:
failed = job.obj['status']['failed']
# This assumes jobs dependent on a single pod, single container
if succeeded > 0:
self.__produce_log_file(job_state)
error_file = open(job_state.error_file, 'w')
error_file.write("")
error_file.close()
job_state.running = False
self.mark_as_finished(job_state)
return None
elif active > 0 and failed <= max_pod_retrials:
job_state.running = True
return job_state
elif failed > max_pod_retrials:
self.__produce_log_file(job_state)
error_file = open(job_state.error_file, 'w')
error_file.write(
"Exceeded max number of Kubernetes pod retrials allowed for job\n"
)
error_file.close()
job_state.running = False
job_state.fail_message = "More pods failed than allowed. See stdout for pods details."
self.mark_as_failed(job_state)
job.scale(replicas=0)
return None
# We should not get here
log.debug(
"Reaching unexpected point for Kubernetes job, where it is not classified as succ., active nor failed."
)
return job_state
elif len(jobs.response['items']) == 0:
# there is no job responding to this job_id, it is either lost or something happened.
log.error("No Jobs are available under expected selector app=" +
job_state.job_id)
error_file = open(job_state.error_file, 'w')
error_file.write(
"No Kubernetes Jobs are available under expected selector app="
+ job_state.job_id + "\n")
error_file.close()
self.mark_as_failed(job_state)
return job_state
else:
# there is more than one job associated to the expected unique job id used as selector.
log.error(
"There is more than one Kubernetes Job associated to job id " +
job_state.job_id)
self.__produce_log_file(job_state)
error_file = open(job_state.error_file, 'w')
error_file.write(
"There is more than one Kubernetes Job associated to job id " +
job_state.job_id + "\n")
error_file.close()
self.mark_as_failed(job_state)
return job_state
def __get_job(self):
jobs = Job.objects(self.__kube_api) \
.filter(selector="luigi_task_id=" + self.job_uuid) \
.response['items']
assert len(jobs) == 1, "Kubernetes job " + self.uu_name + " not found"
return Job(self.__kube_api, jobs[0])
def find_job_object_by_name(pykube_api, job_name, namespace=None):
if not job_name:
raise ValueError("job name must not be empty")
return Job.objects(pykube_api).filter(
field_selector={"metadata.name": job_name}, namespace=namespace)
