def update_autoscale(cmd, client, resource_group_name, cluster_name, min_workernode_count=None,
max_workernode_count=None, timezone=None, no_wait=False):
from azure.mgmt.hdinsight.models import AutoscaleCapacity, AutoscaleRecurrence, \
AutoscaleConfigurationUpdateParameter, RoleName
cluster = client.get(resource_group_name, cluster_name)
autoscale_configuration = _extract_and_validate_autoscale_configuration(cluster)
# try to update load-based configuration
if autoscale_configuration.capacity:
if min_workernode_count:
autoscale_configuration.capacity.min_instance_count = min_workernode_count
if max_workernode_count:
autoscale_configuration.capacity.max_instance_count = max_workernode_count
if not autoscale_configuration.capacity:
if min_workernode_count or max_workernode_count:
autoscale_configuration.capacity = AutoscaleCapacity()
if min_workernode_count:
autoscale_configuration.capacity.min_instance_count = min_workernode_count
if max_workernode_count:
autoscale_configuration.capacity.max_instance_count = max_workernode_count
# try to update schedule-based configuration
if timezone:
if autoscale_configuration.recurrence:
autoscale_configuration.recurrence.time_zone = timezone
elif not autoscale_configuration.recurrence:
autoscale_configuration.recurrence = AutoscaleRecurrence(time_zone=timezone)
autoscale_configuration_update_parameter = AutoscaleConfigurationUpdateParameter(
autoscale=autoscale_configuration
)
return sdk_no_wait(no_wait, client.begin_update_auto_scale_configuration, resource_group_name, cluster_name,
RoleName.WORKERNODE, autoscale_configuration_update_parameter)
def create_autoscale(cmd,
client,
resource_group_name,
cluster_name,
type,
min_workernode_count=None,
max_workernode_count=None,
timezone=None,
days=None,
time=None,
workernode_count=None,
no_wait=False,
yes=False):
from azure.mgmt.hdinsight.models import Autoscale, AutoscaleCapacity, AutoscaleRecurrence, AutoscaleSchedule, \
AutoscaleTimeAndCapacity, AutoscaleConfigurationUpdateParameter, RoleName
load_based_type = "Load"
schedule_based_type = "Schedule"
autoscale_configuration = None
if type.lower() == load_based_type.lower():
if not all([min_workernode_count, max_workernode_count]):
raise CLIError(
'When the --type is Load, both --min-workernode-count and --max-workernode-count should be specified.'
)
autoscale_configuration = Autoscale(capacity=AutoscaleCapacity(
min_instance_count=min_workernode_count,
max_instance_count=max_workernode_count))
elif type.lower() == schedule_based_type.lower():
if not all([timezone, days, time, workernode_count]):
raise CLIError(
'When the --type is Schedule, all of the --timezone, --days, --time, '
'--workernode-count should be specified.')
autoscale_configuration = Autoscale(recurrence=AutoscaleRecurrence(
time_zone=timezone,
schedule=[
AutoscaleSchedule(days=days,
time_and_capacity=AutoscaleTimeAndCapacity(
time=time,
min_instance_count=workernode_count,
max_instance_count=workernode_count))
]))
user_confirmation(
"This operation will override previous autoscale configuration. "
"Are you sure you want to perform this operation", yes)
autoscale_configuration_update_parameter = AutoscaleConfigurationUpdateParameter(
autoscale=autoscale_configuration)
return sdk_no_wait(no_wait, client.begin_update_auto_scale_configuration,
resource_group_name, cluster_name, RoleName.WORKERNODE,
autoscale_configuration_update_parameter)
def create_cluster(cmd,
client,
cluster_name,
resource_group_name,
cluster_type,
location=None,
tags=None,
no_wait=False,
cluster_version='default',
cluster_tier=None,
cluster_configurations=None,
component_version=None,
headnode_size=None,
workernode_size=None,
zookeepernode_size=None,
edgenode_size=None,
kafka_management_node_size=None,
kafka_management_node_count=2,
kafka_client_group_id=None,
kafka_client_group_name=None,
workernode_count=3,
workernode_data_disks_per_node=None,
workernode_data_disk_storage_account_type=None,
workernode_data_disk_size=None,
http_username=None,
http_password=None,
ssh_username='******',
ssh_password=None,
ssh_public_key=None,
storage_account=None,
storage_account_key=None,
storage_default_container=None,
storage_default_filesystem=None,
storage_account_managed_identity=None,
vnet_name=None,
subnet=None,
domain=None,
ldaps_urls=None,
cluster_admin_account=None,
cluster_admin_password=None,
cluster_users_group_dns=None,
assign_identity=None,
minimal_tls_version=None,
encryption_vault_uri=None,
encryption_key_name=None,
encryption_key_version=None,
encryption_algorithm='RSA-OAEP',
encryption_in_transit=None,
autoscale_type=None,
autoscale_min_workernode_count=None,
autoscale_max_workernode_count=None,
timezone=None,
days=None,
time=None,
autoscale_workernode_count=None,
encryption_at_host=None,
esp=False,
idbroker=False,
resource_provider_connection=None,
enable_private_link=None,
enable_compute_isolation=None,
host_sku=None,
no_validation_timeout=False):
from .util import build_identities_info, build_virtual_network_profile, parse_domain_name, \
get_storage_account_endpoint, validate_esp_cluster_create_params, set_vm_size
from azure.mgmt.hdinsight.models import ClusterCreateParametersExtended, ClusterCreateProperties, OSType, \
ClusterDefinition, ComputeProfile, HardwareProfile, Role, OsProfile, LinuxOperatingSystemProfile, \
StorageProfile, StorageAccount, DataDisksGroups, SecurityProfile, \
DirectoryType, DiskEncryptionProperties, Tier, SshProfile, SshPublicKey, \
KafkaRestProperties, ClientGroupInfo, EncryptionInTransitProperties, \
Autoscale, AutoscaleCapacity, AutoscaleRecurrence, AutoscaleSchedule, AutoscaleTimeAndCapacity, \
NetworkProperties, PrivateLink, ComputeIsolationProperties
validate_esp_cluster_create_params(esp, cluster_name, resource_group_name,
cluster_type, subnet, domain,
cluster_admin_account, assign_identity,
ldaps_urls, cluster_admin_password,
cluster_users_group_dns)
if esp:
if cluster_tier == Tier.standard:
raise CLIError(
'Cluster tier cannot be {} when --esp is specified. '
'Please use default value or specify {} explicitly.'.format(
Tier.standard, Tier.premium))
if not cluster_tier:
cluster_tier = Tier.premium
# Update optional parameters with defaults
location = location or _get_rg_location(cmd.cli_ctx, resource_group_name)
# Format dictionary/free-form arguments
if not cluster_configurations:
cluster_configurations = dict()
if component_version:
# See validator
component_version = {
c: v
for c, v in [version.split('=') for version in component_version]
}
# Validate whether HTTP credentials were provided
if 'gateway' in cluster_configurations:
gateway_config = cluster_configurations['gateway']
else:
gateway_config = dict()
if http_username and 'restAuthCredential.username' in gateway_config:
raise CLIError(
'An HTTP username must be specified either as a command-line parameter '
'or in the cluster configuration, but not both.')
if not http_username:
http_username = '******' # Implement default logic here, in case a user specifies the username in configurations
if not http_password:
try:
http_password = prompt_pass('HTTP password for the cluster:',
confirm=True)
except NoTTYException:
raise CLIError(
'Please specify --http-password in non-interactive mode.')
# Update the cluster config with the HTTP credentials
gateway_config[
'restAuthCredential.isEnabled'] = 'true' # HTTP credentials are required
http_username = http_username or gateway_config[
'restAuthCredential.username']
gateway_config['restAuthCredential.username'] = http_username
gateway_config['restAuthCredential.password'] = http_password
cluster_configurations['gateway'] = gateway_config
# Validate whether SSH credentials were provided
if not (ssh_password or ssh_public_key):
logger.warning(
"SSH credentials not specified. Using the HTTP password as the SSH password."
)
ssh_password = http_password
# Validate storage arguments from the user
if storage_default_container and storage_default_filesystem:
raise CLIError(
'Either the default container or the default filesystem can be specified, but not both.'
)
# Retrieve primary blob service endpoint
is_wasb = not storage_account_managed_identity
storage_account_endpoint = None
if storage_account:
storage_account_endpoint = get_storage_account_endpoint(
cmd, storage_account, is_wasb)
# Attempt to infer the storage account key from the endpoint
if not storage_account_key and storage_account and is_wasb:
from .util import get_key_for_storage_account
logger.info(
'Storage account key not specified. Attempting to retrieve key...')
key = get_key_for_storage_account(cmd, storage_account)
if not key:
raise CLIError(
'Storage account key could not be inferred from storage account.'
)
storage_account_key = key
# Attempt to provide a default container for WASB storage accounts
if not storage_default_container and storage_account and is_wasb:
storage_default_container = cluster_name.lower()
logger.warning('Default WASB container not specified, using "%s".',
storage_default_container)
elif not storage_default_filesystem and not is_wasb:
storage_default_filesystem = cluster_name.lower()
logger.warning('Default ADLS file system not specified, using "%s".',
storage_default_filesystem)
# Validate storage info parameters
if is_wasb and not _all_or_none(storage_account, storage_account_key,
storage_default_container):
raise CLIError(
'If storage details are specified, the storage account, storage account key, '
'and the default container must be specified.')
if not is_wasb and not _all_or_none(storage_account,
storage_default_filesystem):
raise CLIError(
'If storage details are specified, the storage account, '
'and the default filesystem must be specified.')
# Validate disk encryption parameters
if not _all_or_none(encryption_vault_uri, encryption_key_name,
encryption_key_version):
raise CLIError(
'Either the encryption vault URI, key name and key version should be specified, '
'or none of them should be.')
# Validate kafka rest proxy parameters
if not _all_or_none(kafka_client_group_id, kafka_client_group_name):
raise CLIError(
'Either the kafka client group id and kafka client group name should be specified, '
'or none of them should be')
# Validate and initialize autoscale setting
autoscale_configuration = None
load_based_type = "Load"
schedule_based_type = "Schedule"
if autoscale_type and autoscale_type.lower() == load_based_type.lower():
if not all(
[autoscale_min_workernode_count, autoscale_max_workernode_count]):
raise CLIError(
'When the --autoscale-type is Load, '
'both --autoscale-min-workernode-count and --autoscale-max-workernode-count should be specified.'
)
autoscale_configuration = Autoscale(capacity=AutoscaleCapacity(
min_instance_count=autoscale_min_workernode_count,
max_instance_count=autoscale_max_workernode_count))
elif autoscale_type and autoscale_type.lower(
) == schedule_based_type.lower():
if not all([timezone, days, time, autoscale_workernode_count]):
raise CLIError(
'When the --autoscale-type is Schedule, all of the --timezone, --days, --time, '
'--autoscale-workernode-count should be specified.')
autoscale_configuration = Autoscale(recurrence=AutoscaleRecurrence(
time_zone=timezone,
schedule=[
AutoscaleSchedule(
days=days,
time_and_capacity=AutoscaleTimeAndCapacity(
time=time,
min_instance_count=autoscale_workernode_count,
max_instance_count=autoscale_workernode_count))
]))
# Specify virtual network profile only when network arguments are provided
virtual_network_profile = subnet and build_virtual_network_profile(subnet)
# Validate data disk parameters
if not workernode_data_disks_per_node and workernode_data_disk_storage_account_type:
raise CLIError(
"Cannot define data disk storage account type unless disks per node is defined."
)
if not workernode_data_disks_per_node and workernode_data_disk_size:
raise CLIError(
"Cannot define data disk size unless disks per node is defined.")
# Specify data disk groups only when disk arguments are provided
workernode_data_disk_groups = workernode_data_disks_per_node and [
DataDisksGroups(
disks_per_node=workernode_data_disks_per_node,
storage_account_type=workernode_data_disk_storage_account_type,
disk_size_gb=workernode_data_disk_size)
]
# call get default vm size api to set vm size if customer does not provide the value
if not (workernode_size and headnode_size):
headnode_size, workernode_size = set_vm_size(cmd.cli_ctx, location,
cluster_type,
headnode_size,
workernode_size)
if not headnode_size:
raise RequiredArgumentMissingError(
'Please specify --headnode-size explicitly.')
if not workernode_size:
raise RequiredArgumentMissingError(
'Please specify --workernode-size explicitly.')
os_profile = OsProfile(
linux_operating_system_profile=LinuxOperatingSystemProfile(
username=ssh_username,
password=ssh_password,
ssh_profile=ssh_public_key and SshProfile(
public_keys=[SshPublicKey(certificate_data=ssh_public_key)])))
roles = [
# Required roles
Role(name="headnode",
target_instance_count=2,
hardware_profile=HardwareProfile(vm_size=headnode_size),
os_profile=os_profile,
virtual_network_profile=virtual_network_profile),
Role(name="workernode",
target_instance_count=workernode_count,
hardware_profile=HardwareProfile(vm_size=workernode_size),
os_profile=os_profile,
virtual_network_profile=virtual_network_profile,
data_disks_groups=workernode_data_disk_groups,
autoscale_configuration=autoscale_configuration)
]
if zookeepernode_size:
roles.append(
Role(name="zookeepernode",
target_instance_count=3,
hardware_profile=HardwareProfile(vm_size=zookeepernode_size),
os_profile=os_profile,
virtual_network_profile=virtual_network_profile))
if edgenode_size:
roles.append(
Role(name="edgenode",
target_instance_count=1,
hardware_profile=HardwareProfile(vm_size=edgenode_size),
os_profile=os_profile,
virtual_network_profile=virtual_network_profile))
if kafka_management_node_size:
# generate kafkaRestProperties
roles.append(
Role(name="kafkamanagementnode",
target_instance_count=kafka_management_node_count,
hardware_profile=HardwareProfile(
vm_size=kafka_management_node_size),
os_profile=os_profile,
virtual_network_profile=virtual_network_profile))
if esp and idbroker:
roles.append(
Role(name="idbrokernode",
target_instance_count=2,
virtual_network_profile=virtual_network_profile))
storage_accounts = []
if storage_account:
# Specify storage account details only when storage arguments are provided
storage_accounts.append(
StorageAccount(name=storage_account_endpoint,
key=storage_account_key,
container=storage_default_container,
file_system=storage_default_filesystem,
resource_id=storage_account,
msi_resource_id=storage_account_managed_identity,
is_default=True))
additional_storage_accounts = [
] # TODO: Add support for additional storage accounts
if additional_storage_accounts:
storage_accounts += [
StorageAccount(name=s.storage_account_endpoint,
key=s.storage_account_key,
container=s.container,
is_default=False)
for s in additional_storage_accounts
]
assign_identities = []
if assign_identity:
assign_identities.append(assign_identity)
if storage_account_managed_identity:
assign_identities.append(storage_account_managed_identity)
cluster_identity = build_identities_info(
assign_identities) if assign_identities else None
domain_name = domain and parse_domain_name(domain)
if not ldaps_urls and domain_name:
ldaps_urls = ['ldaps://{}:636'.format(domain_name)]
security_profile = domain and SecurityProfile(
directory_type=DirectoryType.active_directory,
domain=domain_name,
ldaps_urls=ldaps_urls,
domain_username=cluster_admin_account,
domain_user_password=cluster_admin_password,
cluster_users_group_dns=cluster_users_group_dns,
aadds_resource_id=domain,
msi_resource_id=assign_identity)
disk_encryption_properties = encryption_vault_uri and DiskEncryptionProperties(
vault_uri=encryption_vault_uri,
key_name=encryption_key_name,
key_version=encryption_key_version,
encryption_algorithm=encryption_algorithm,
msi_resource_id=assign_identity)
if encryption_at_host:
if disk_encryption_properties:
disk_encryption_properties.encryption_at_host = encryption_at_host
else:
disk_encryption_properties = DiskEncryptionProperties(
encryption_at_host=encryption_at_host)
kafka_rest_properties = (
kafka_client_group_id and kafka_client_group_name
) and KafkaRestProperties(client_group_info=ClientGroupInfo(
group_id=kafka_client_group_id, group_name=kafka_client_group_name))
encryption_in_transit_properties = encryption_in_transit and EncryptionInTransitProperties(
is_encryption_in_transit_enabled=encryption_in_transit)
# relay outbound and private link
network_properties = (
resource_provider_connection
or enable_private_link) and NetworkProperties(
resource_provider_connection=resource_provider_connection,
private_link=PrivateLink.enabled
if enable_private_link is True else PrivateLink.disabled)
# compute isolation
compute_isolation_properties = enable_compute_isolation and ComputeIsolationProperties(
enable_compute_isolation=enable_compute_isolation, host_sku=host_sku)
create_params = ClusterCreateParametersExtended(
location=location,
tags=tags,
properties=ClusterCreateProperties(
cluster_version=cluster_version,
os_type=OSType.linux,
tier=cluster_tier,
cluster_definition=ClusterDefinition(
kind=cluster_type,
configurations=cluster_configurations,
component_version=component_version),
compute_profile=ComputeProfile(roles=roles),
storage_profile=StorageProfile(storageaccounts=storage_accounts),
security_profile=security_profile,
disk_encryption_properties=disk_encryption_properties,
kafka_rest_properties=kafka_rest_properties,
min_supported_tls_version=minimal_tls_version,
encryption_in_transit_properties=encryption_in_transit_properties,
network_properties=network_properties,
compute_isolation_properties=compute_isolation_properties),
identity=cluster_identity)
if no_wait:
return sdk_no_wait(no_wait, client.create, resource_group_name,
cluster_name, create_params)
return client.create(resource_group_name, cluster_name, create_params)