def create_adla_compute_policy(client,
account_name,
compute_policy_name,
object_id,
object_type,
resource_group_name,
max_dop_per_job=None,
min_priority_per_job=None):
from azure.mgmt.datalake.analytics.account.models import ComputePolicyCreateOrUpdateParameters
if not max_dop_per_job and not min_priority_per_job:
raise CLIError(
'Please specify at least one of --max-dop-per-job and --min-priority-per-job'
)
create_params = ComputePolicyCreateOrUpdateParameters(
object_id=object_id, object_type=object_type)
if max_dop_per_job:
create_params.max_degree_of_parallelism_per_job = int(max_dop_per_job)
if min_priority_per_job:
create_params.min_priority_per_job = int(min_priority_per_job)
return client.create_or_update(resource_group_name, account_name,
compute_policy_name, create_params)
def create_adla_compute_policy(client, account_name, compute_policy_name, object_id, object_type,
resource_group_name, max_dop_per_job=None, min_priority_per_job=None):
from azure.mgmt.datalake.analytics.account.models import ComputePolicyCreateOrUpdateParameters
if not max_dop_per_job and not min_priority_per_job:
raise CLIError('Please specify at least one of --max-dop-per-job and --min-priority-per-job')
create_params = ComputePolicyCreateOrUpdateParameters(object_id=object_id,
object_type=object_type)
if max_dop_per_job:
create_params.max_degree_of_parallelism_per_job = int(max_dop_per_job)
if min_priority_per_job:
create_params.min_priority_per_job = int(min_priority_per_job)
return client.create_or_update(resource_group_name,
account_name,
compute_policy_name,
create_params)