def execute(args: typing.NamedTuple):
spark_client = aztk.spark.Client(config.load_aztk_secrets())
cluster_conf = ClusterConfiguration()
cluster_conf.spark_configuration = load_aztk_spark_config(args.spark_conf)
# read cluster.yaml configuration file, overwrite values with args
file_config, wait = config.read_cluster_config() if args.cluster_path is None \
else config.read_cluster_config(args.cluster_path)
cluster_conf.merge(file_config)
cluster_conf.merge(
ClusterConfiguration(
cluster_id=args.cluster_id,
size=args.size,
size_low_priority=args.size_low_priority,
vm_size=args.vm_size,
subnet_id=args.subnet_id,
user_configuration=UserConfiguration(username=args.username,
password=args.password),
))
if cluster_conf.toolkit:
if args.docker_repo:
cluster_conf.toolkit.docker_repo = args.docker_repo
if args.docker_run_options:
cluster_conf.toolkit.docker_run_options = args.docker_run_options
wait = wait if args.wait is None else args.wait
user_configuration = cluster_conf.user_configuration
if user_configuration and user_configuration.username:
ssh_key, password = utils.get_ssh_key_or_prompt(
spark_client.secrets_configuration.ssh_pub_key,
user_configuration.username,
user_configuration.password,
spark_client.secrets_configuration,
)
cluster_conf.user_configuration = aztk.spark.models.UserConfiguration(
username=user_configuration.username,
password=password,
ssh_key=ssh_key)
else:
cluster_conf.user_configuration = None
cluster_conf.validate()
utils.print_cluster_conf(cluster_conf, wait)
with utils.Spinner():
# create spark cluster
cluster = spark_client.cluster.create(
cluster_configuration=cluster_conf,
vm_ver=args.vm_os_ver,
wait=wait)
if wait:
log.info("Cluster %s created successfully.", cluster.id)
else:
log.info("Cluster %s is being provisioned.", cluster.id)
def execute(args: typing.NamedTuple):
spark_client = aztk.spark.Client(config.load_aztk_secrets())
cluster_conf = ClusterConfiguration()
cluster_conf.spark_configuration = load_aztk_spark_config()
# read cluster.yaml configuration file, overwrite values with args
file_config, wait = config.read_cluster_config()
cluster_conf.merge(file_config)
if args.size_low_pri is not None:
deprecate("0.9.0", "--size-low-pri has been deprecated.", "Please use --size-low-priority.")
args.size_low_priority = args.size_low_pri
cluster_conf.merge(ClusterConfiguration(
cluster_id=args.cluster_id,
size=args.size,
size_low_priority=args.size_low_priority,
vm_size=args.vm_size,
subnet_id=args.subnet_id,
user_configuration=UserConfiguration(
username=args.username,
password=args.password,
)))
if args.docker_repo and cluster_conf.toolkit:
cluster_conf.toolkit.docker_repo = args.docker_repo
wait = wait if args.wait is None else args.wait
user_configuration = cluster_conf.user_configuration
if user_configuration and user_configuration.username:
ssh_key, password = utils.get_ssh_key_or_prompt(spark_client.secrets_config.ssh_pub_key,
user_configuration.username,
user_configuration.password,
spark_client.secrets_config)
cluster_conf.user_configuration = aztk.spark.models.UserConfiguration(
username=user_configuration.username,
password=password,
ssh_key=ssh_key
)
else:
cluster_conf.user_configuration = None
cluster_conf.validate()
utils.print_cluster_conf(cluster_conf, wait)
with utils.Spinner():
# create spark cluster
cluster = spark_client.create_cluster(
cluster_conf,
wait=wait
)
if wait:
log.info("Cluster %s created successfully.", cluster.id)
else:
log.info("Cluster %s is being provisioned.", cluster.id)
def execute(args: typing.NamedTuple):
spark_client = aztk.spark.Client(config.load_aztk_secrets())
cluster_id = args.cluster_id
cluster = spark_client.get_cluster(cluster_id)
utils.print_cluster(spark_client, cluster)
configuration = spark_client.get_cluster_config(cluster_id)
if configuration and args.show_config:
log.info("-------------------------------------------")
log.info("Cluster configuration:")
utils.print_cluster_conf(configuration, False)
def execute(args: typing.NamedTuple):
spark_client = aztk.spark.Client(config.load_aztk_secrets())
cluster_conf = ClusterConfiguration()
cluster_conf.spark_configuration = load_aztk_spark_config()
# read cluster.yaml configuartion file, overwrite values with args
file_config, wait = config.read_cluster_config()
cluster_conf.merge(file_config)
cluster_conf.merge(ClusterConfiguration(
cluster_id=args.cluster_id,
vm_count=args.size,
vm_low_pri_count=args.size_low_pri,
vm_size=args.vm_size,
subnet_id=args.subnet_id,
user_configuration=UserConfiguration(
username=args.username,
password=args.password,
),
docker_repo=args.docker_repo))
wait = wait if args.wait is None else args.wait
user_configuration = cluster_conf.user_configuration
if user_configuration and user_configuration.username:
ssh_key, password = utils.get_ssh_key_or_prompt(spark_client.secrets_config.ssh_pub_key,
user_configuration.username,
user_configuration.password,
spark_client.secrets_config)
cluster_conf.user_configuration = aztk.spark.models.UserConfiguration(
username=user_configuration.username,
password=password,
ssh_key=ssh_key
)
else:
cluster_conf.user_configuration = None
utils.print_cluster_conf(cluster_conf, wait)
spinner = utils.Spinner()
spinner.start()
# create spark cluster
cluster = spark_client.create_cluster(
cluster_conf,
wait=wait
)
spinner.stop()
if wait:
log.info("Cluster %s created successfully.", cluster.id)
else:
log.info("Cluster %s is being provisioned.", cluster.id)