def terminate_node(self, node_id):
node = self._get_cached_node(node_id)
if self.cache_stopped_nodes:
if node.spot_instance_request_id:
cli_logger.print(
"Terminating instance {} " +
cf.gray("(cannot stop spot instances, only terminate)"),
node_id) # todo: show node name?
cli_logger.old_info(
logger,
"AWSNodeProvider: terminating node {} (spot nodes cannot "
"be stopped, only terminated)", node_id)
node.terminate()
else:
cli_logger.print("Stopping instance {} " + cf.gray(
"(to terminate instead, "
"set `cache_stopped_nodes: False` "
"under `provider` in the cluster configuration)"),
node_id) # todo: show node name?
cli_logger.old_info(
logger,
"AWSNodeProvider: stopping node {}. To terminate nodes "
"on stop, set 'cache_stopped_nodes: False' in the "
"provider config.".format(node_id))
node.stop()
else:
node.terminate()
self.tag_cache.pop(node_id, None)
self.tag_cache_pending.pop(node_id, None)
def do_sync(remote_path, local_path, allow_non_existing_paths=False):
if allow_non_existing_paths and not os.path.exists(local_path):
# Ignore missing source files. In the future we should support
# the --delete-missing-args command to delete files that have
# been removed
return
assert os.path.exists(local_path), local_path
if os.path.isdir(local_path):
if not local_path.endswith("/"):
local_path += "/"
if not remote_path.endswith("/"):
remote_path += "/"
with LogTimer(self.log_prefix +
"Synced {} to {}".format(local_path, remote_path)):
self.cmd_runner.run("mkdir -p {}".format(
os.path.dirname(remote_path)),
run_env="host")
sync_cmd(local_path, remote_path)
if remote_path not in nolog_paths:
# todo: timed here?
cli_logger.print("{} from {}", cf.bold(remote_path),
cf.bold(local_path))
def do_sync(remote_path, local_path, allow_non_existing_paths=False):
if allow_non_existing_paths and not os.path.exists(local_path):
cli_logger.print("sync: {} does not exist. Skipping.",
local_path)
# Ignore missing source files. In the future we should support
# the --delete-missing-args command to delete files that have
# been removed
return
assert os.path.exists(local_path), local_path
if os.path.isdir(local_path):
if not local_path.endswith("/"):
local_path += "/"
if not remote_path.endswith("/"):
remote_path += "/"
with LogTimer(self.log_prefix +
"Synced {} to {}".format(local_path, remote_path)):
is_docker = (self.docker_config
and self.docker_config["container_name"] != "")
if not is_docker:
# The DockerCommandRunner handles this internally.
self.cmd_runner.run("mkdir -p {}".format(
os.path.dirname(remote_path)),
run_env="host")
sync_cmd(local_path, remote_path, file_mount=True)
if remote_path not in nolog_paths:
# todo: timed here?
cli_logger.print("{} from {}", cf.bold(remote_path),
cf.bold(local_path))
def remaining_nodes():
workers = provider.non_terminated_nodes(
{TAG_RAY_NODE_KIND: NODE_KIND_WORKER})
if keep_min_workers:
min_workers = config.get("min_workers", 0)
cli_logger.print(
"{} random worker nodes will not be shut down. " +
cf.dimmed("(due to {})"), cf.bold(min_workers),
cf.bold("--keep-min-workers"))
cli_logger.old_info(logger,
"teardown_cluster: Keeping {} nodes...",
min_workers)
workers = random.sample(workers, len(workers) - min_workers)
# todo: it's weird to kill the head node but not all workers
if workers_only:
cli_logger.print(
"The head node will not be shut down. " +
cf.dimmed("(due to {})"), cf.bold("--workers-only"))
return workers
head = provider.non_terminated_nodes(
{TAG_RAY_NODE_KIND: NODE_KIND_HEAD})
return head + workers
def sync_file_mounts(self, sync_cmd):
nolog_paths = []
if cli_logger.verbosity == 0:
nolog_paths = [
"~/ray_bootstrap_key.pem", "~/ray_bootstrap_config.yaml"
]
# Rsync file mounts
with cli_logger.group("Processing file mounts",
_numbered=("[]", 2, 5)):
for remote_path, local_path in self.file_mounts.items():
assert os.path.exists(local_path), local_path
if os.path.isdir(local_path):
if not local_path.endswith("/"):
local_path += "/"
if not remote_path.endswith("/"):
remote_path += "/"
with LogTimer(
self.log_prefix +
"Synced {} to {}".format(local_path, remote_path)):
self.cmd_runner.run("mkdir -p {}".format(
os.path.dirname(remote_path)))
sync_cmd(local_path, remote_path)
if remote_path not in nolog_paths:
# todo: timed here?
cli_logger.print("{} from {}", cf.bold(remote_path),
cf.bold(local_path))
def sync_file_mounts(self, sync_cmd, step_numbers=(0, 2)):
# step_numbers is (# of previous steps, total steps)
previous_steps, total_steps = step_numbers
nolog_paths = []
if cli_logger.verbosity == 0:
nolog_paths = [
"~/ray_bootstrap_key.pem", "~/ray_bootstrap_config.yaml"
]
def do_sync(remote_path, local_path, allow_non_existing_paths=False):
if allow_non_existing_paths and not os.path.exists(local_path):
# Ignore missing source files. In the future we should support
# the --delete-missing-args command to delete files that have
# been removed
return
assert os.path.exists(local_path), local_path
if os.path.isdir(local_path):
if not local_path.endswith("/"):
local_path += "/"
if not remote_path.endswith("/"):
remote_path += "/"
with LogTimer(self.log_prefix +
"Synced {} to {}".format(local_path, remote_path)):
if not isinstance(self.cmd_runner, DockerCommandRunner):
# The DockerCommandRunner handles this internally
self.cmd_runner.run(
"mkdir -p {}".format(os.path.dirname(remote_path)),
run_env="host")
sync_cmd(local_path, remote_path, file_mount=True)
if remote_path not in nolog_paths:
# todo: timed here?
cli_logger.print("{} from {}", cf.bold(remote_path),
cf.bold(local_path))
# Rsync file mounts
with cli_logger.group(
"Processing file mounts",
_numbered=("[]", previous_steps + 1, total_steps)):
for remote_path, local_path in self.file_mounts.items():
do_sync(remote_path, local_path)
if self.cluster_synced_files:
with cli_logger.group(
"Processing worker file mounts",
_numbered=("[]", previous_steps + 2, total_steps)):
for path in self.cluster_synced_files:
do_sync(path, path, allow_non_existing_paths=True)
else:
cli_logger.print(
"No worker file mounts to sync",
_numbered=("[]", previous_steps + 2, total_steps))
def wait_ready(self, deadline):
with cli_logger.group("Waiting for SSH to become available",
_numbered=("[]", 1, 6)):
with LogTimer(self.log_prefix + "Got remote shell"):
cli_logger.old_info(logger, "{}Waiting for remote shell...",
self.log_prefix)
cli_logger.print("Running `{}` as a test.", cf.bold("uptime"))
first_conn_refused_time = None
while time.time() < deadline and \
not self.provider.is_terminated(self.node_id):
try:
cli_logger.old_debug(logger,
"{}Waiting for remote shell...",
self.log_prefix)
# Run outside of the container
self.cmd_runner.run("uptime", run_env="host")
cli_logger.old_debug(logger, "Uptime succeeded.")
cli_logger.success("Success.")
return True
except ProcessRunnerError as e:
first_conn_refused_time = \
cmd_output_util.handle_ssh_fails(
e, first_conn_refused_time,
retry_interval=READY_CHECK_INTERVAL)
time.sleep(READY_CHECK_INTERVAL)
except Exception as e:
# TODO(maximsmol): we should not be ignoring
# exceptions if they get filtered properly
# (new style log + non-interactive shells)
#
# however threading this configuration state
# is a pain and I'm leaving it for later
retry_str = str(e)
if hasattr(e, "cmd"):
retry_str = "(Exit Status {}): {}".format(
e.returncode, " ".join(e.cmd))
cli_logger.print(
"SSH still not available {}, "
"retrying in {} seconds.", cf.dimmed(retry_str),
cf.bold(str(READY_CHECK_INTERVAL)))
cli_logger.old_debug(logger,
"{}Node not up, retrying: {}",
self.log_prefix, retry_str)
time.sleep(READY_CHECK_INTERVAL)
assert False, "Unable to connect to node"
def kill_node(config_file, yes, hard, override_cluster_name):
"""Kills a random Raylet worker."""
config = yaml.safe_load(open(config_file).read())
if override_cluster_name is not None:
config["cluster_name"] = override_cluster_name
config = _bootstrap_config(config)
cli_logger.confirm(yes, "A random node will be killed.")
cli_logger.old_confirm("This will kill a node in your cluster", yes)
provider = get_node_provider(config["provider"], config["cluster_name"])
try:
nodes = provider.non_terminated_nodes({
TAG_RAY_NODE_KIND: NODE_KIND_WORKER
})
node = random.choice(nodes)
cli_logger.print("Shutdown " + cf.bold("{}"), node)
cli_logger.old_info(logger, "kill_node: Shutdown worker {}", node)
if hard:
provider.terminate_node(node)
else:
updater = NodeUpdaterThread(
node_id=node,
provider_config=config["provider"],
provider=provider,
auth_config=config["auth"],
cluster_name=config["cluster_name"],
file_mounts=config["file_mounts"],
initialization_commands=[],
setup_commands=[],
ray_start_commands=[],
runtime_hash="",
file_mounts_contents_hash="",
is_head_node=False,
docker_config=config.get("docker"))
_exec(updater, "ray stop", False, False)
time.sleep(5)
if config.get("provider", {}).get("use_internal_ips", False) is True:
node_ip = provider.internal_ip(node)
else:
node_ip = provider.external_ip(node)
finally:
provider.cleanup()
return node_ip
def terminate_nodes(self, node_ids):
if not node_ids:
return
if self.cache_stopped_nodes:
spot_ids = []
on_demand_ids = []
for node_id in node_ids:
if self._get_cached_node(node_id).spot_instance_request_id:
spot_ids += [node_id]
else:
on_demand_ids += [node_id]
if on_demand_ids:
# todo: show node names?
cli_logger.print(
"Stopping instances {} " + cf.gray(
"(to terminate instead, "
"set `cache_stopped_nodes: False` "
"under `provider` in the cluster configuration)"),
cli_logger.render_list(on_demand_ids))
cli_logger.old_info(
logger,
"AWSNodeProvider: stopping nodes {}. To terminate nodes "
"on stop, set 'cache_stopped_nodes: False' in the "
"provider config.", on_demand_ids)
self.ec2.meta.client.stop_instances(InstanceIds=on_demand_ids)
if spot_ids:
cli_logger.print(
"Terminating instances {} " +
cf.gray("(cannot stop spot instances, only terminate)"),
cli_logger.render_list(spot_ids))
cli_logger.old_info(
logger,
"AWSNodeProvider: terminating nodes {} (spot nodes cannot "
"be stopped, only terminated)", spot_ids)
self.ec2.meta.client.terminate_instances(InstanceIds=spot_ids)
else:
self.ec2.meta.client.terminate_instances(InstanceIds=node_ids)
for node_id in node_ids:
self.tag_cache.pop(node_id, None)
self.tag_cache_pending.pop(node_id, None)
def handle_ssh_fails(e, first_conn_refused_time, retry_interval):
"""Handle SSH system failures coming from a subprocess.
Args:
e: The `ProcessRunnerException` to handle.
first_conn_refused_time:
The time (as reported by this function) or None,
indicating the last time a CONN_REFUSED error was caught.
After exceeding a patience value, the program will be aborted
since SSH will likely never recover.
retry_interval: The interval after which the command will be retried,
used here just to inform the user.
"""
if e.msg_type != "ssh_command_failed":
return
if e.special_case == "ssh_conn_refused":
if first_conn_refused_time is not None and \
time.time() - first_conn_refused_time > \
CONN_REFUSED_PATIENCE:
cli_logger.error(
"SSH connection was being refused "
"for {} seconds. Head node assumed "
"unreachable.", cf.bold(str(CONN_REFUSED_PATIENCE)))
cli_logger.abort("Check the node's firewall settings "
"and the cloud network configuration.")
cli_logger.warning("SSH connection was refused.")
cli_logger.warning("This might mean that the SSH daemon is "
"still setting up, or that "
"the host is inaccessable (e.g. due to "
"a firewall).")
return time.time()
if e.special_case in ["ssh_timeout", "ssh_conn_refused"]:
cli_logger.print("SSH still not available, "
"retrying in {} seconds.",
cf.bold(str(retry_interval)))
else:
raise e
return first_conn_refused_time
def wait_for_ip(self, deadline):
# if we have IP do not print waiting info
ip = self._get_node_ip()
if ip is not None:
cli_logger.labeled_value("Fetched IP", ip)
return ip
interval = 10
with cli_logger.timed("Waiting for IP"):
while time.time() < deadline and \
not self.provider.is_terminated(self.node_id):
cli_logger.old_info(logger, "{}Waiting for IP...",
self.log_prefix)
ip = self._get_node_ip()
if ip is not None:
cli_logger.labeled_value("Received", ip)
return ip
cli_logger.print("Not yet available, retrying in {} seconds",
cf.bold(str(interval)))
time.sleep(interval)
return None
def wait_ready(self, deadline):
with cli_logger.group(
"Waiting for SSH to become available", _numbered=("[]", 1, 6)):
with LogTimer(self.log_prefix + "Got remote shell"):
cli_logger.old_info(logger, "{}Waiting for remote shell...",
self.log_prefix)
cli_logger.print("Running `{}` as a test.", cf.bold("uptime"))
while time.time() < deadline and \
not self.provider.is_terminated(self.node_id):
try:
cli_logger.old_debug(logger,
"{}Waiting for remote shell...",
self.log_prefix)
self.cmd_runner.run("uptime")
cli_logger.old_debug(logger, "Uptime succeeded.")
cli_logger.success("Success.")
return True
except Exception as e:
retry_str = str(e)
if hasattr(e, "cmd"):
retry_str = "(Exit Status {}): {}".format(
e.returncode, " ".join(e.cmd))
cli_logger.print(
"SSH still not available {}, "
"retrying in {} seconds.", cf.gray(retry_str),
cf.bold(str(READY_CHECK_INTERVAL)))
cli_logger.old_debug(logger,
"{}Node not up, retrying: {}",
self.log_prefix, retry_str)
time.sleep(READY_CHECK_INTERVAL)
assert False, "Unable to connect to node"
def get_or_create_head_node(config,
config_file,
no_restart,
restart_only,
yes,
override_cluster_name,
_provider=None,
_runner=subprocess):
"""Create the cluster head node, which in turn creates the workers."""
provider = (_provider or get_node_provider(config["provider"],
config["cluster_name"]))
config = copy.deepcopy(config)
raw_config_file = config_file # used for printing to the user
config_file = os.path.abspath(config_file)
try:
head_node_tags = {
TAG_RAY_NODE_KIND: NODE_KIND_HEAD,
}
nodes = provider.non_terminated_nodes(head_node_tags)
if len(nodes) > 0:
head_node = nodes[0]
else:
head_node = None
if not head_node:
cli_logger.confirm(yes, "No head node found. "
"Launching a new cluster.",
_abort=True)
cli_logger.old_confirm("This will create a new cluster", yes)
elif not no_restart:
cli_logger.old_confirm("This will restart cluster services", yes)
if head_node:
if restart_only:
cli_logger.confirm(
yes, "Updating cluster configuration and "
"restarting the cluster Ray runtime. "
"Setup commands will not be run due to `{}`.\n",
cf.bold("--restart-only"),
_abort=True)
elif no_restart:
cli_logger.print(
"Cluster Ray runtime will not be restarted due "
"to `{}`.", cf.bold("--no-restart"))
cli_logger.confirm(yes, "Updating cluster configuration and "
"running setup commands.",
_abort=True)
else:
cli_logger.print(
"Updating cluster configuration and running full setup.")
cli_logger.confirm(
yes,
cf.bold("Cluster Ray runtime will be restarted."),
_abort=True)
cli_logger.newline()
# TODO(ekl) this logic is duplicated in node_launcher.py (keep in sync)
head_node_config = copy.deepcopy(config["head_node"])
if "head_node_type" in config:
head_node_tags[TAG_RAY_USER_NODE_TYPE] = config["head_node_type"]
head_node_config.update(config["available_node_types"][
config["head_node_type"]]["node_config"])
launch_hash = hash_launch_conf(head_node_config, config["auth"])
if head_node is None or provider.node_tags(head_node).get(
TAG_RAY_LAUNCH_CONFIG) != launch_hash:
with cli_logger.group("Acquiring an up-to-date head node"):
if head_node is not None:
cli_logger.print(
"Currently running head node is out-of-date with "
"cluster configuration")
cli_logger.print(
"hash is {}, expected {}",
cf.bold(
provider.node_tags(head_node).get(
TAG_RAY_LAUNCH_CONFIG)), cf.bold(launch_hash))
cli_logger.confirm(yes, "Relaunching it.", _abort=True)
cli_logger.old_confirm(
"Head node config out-of-date. It will be terminated",
yes)
cli_logger.old_info(
logger, "get_or_create_head_node: "
"Shutting down outdated head node {}", head_node)
provider.terminate_node(head_node)
cli_logger.print("Terminated head node {}", head_node)
cli_logger.old_info(
logger,
"get_or_create_head_node: Launching new head node...")
head_node_tags[TAG_RAY_LAUNCH_CONFIG] = launch_hash
head_node_tags[TAG_RAY_NODE_NAME] = "ray-{}-head".format(
config["cluster_name"])
provider.create_node(head_node_config, head_node_tags, 1)
cli_logger.print("Launched a new head node")
start = time.time()
head_node = None
with cli_logger.timed("Fetching the new head node"):
while True:
if time.time() - start > 50:
cli_logger.abort(
"Head node fetch timed out.") # todo: msg
raise RuntimeError("Failed to create head node.")
nodes = provider.non_terminated_nodes(head_node_tags)
if len(nodes) == 1:
head_node = nodes[0]
break
time.sleep(1)
cli_logger.newline()
with cli_logger.group(
"Setting up head node",
_numbered=("<>", 1, 1),
# cf.bold(provider.node_tags(head_node)[TAG_RAY_NODE_NAME]),
_tags=dict()): # add id, ARN to tags?
# TODO(ekl) right now we always update the head node even if the
# hash matches.
# We could prompt the user for what they want to do here.
# No need to pass in cluster_sync_files because we use this
# hash to set up the head node
(runtime_hash, file_mounts_contents_hash) = hash_runtime_conf(
config["file_mounts"], None, config)
cli_logger.old_info(
logger,
"get_or_create_head_node: Updating files on head node...")
# Rewrite the auth config so that the head
# node can update the workers
remote_config = copy.deepcopy(config)
# drop proxy options if they exist, otherwise
# head node won't be able to connect to workers
remote_config["auth"].pop("ssh_proxy_command", None)
if "ssh_private_key" in config["auth"]:
remote_key_path = "~/ray_bootstrap_key.pem"
remote_config["auth"]["ssh_private_key"] = remote_key_path
# Adjust for new file locations
new_mounts = {}
for remote_path in config["file_mounts"]:
new_mounts[remote_path] = remote_path
remote_config["file_mounts"] = new_mounts
remote_config["no_restart"] = no_restart
# Now inject the rewritten config and SSH key into the head node
remote_config_file = tempfile.NamedTemporaryFile(
"w", prefix="ray-bootstrap-")
remote_config_file.write(json.dumps(remote_config))
remote_config_file.flush()
config["file_mounts"].update(
{"~/ray_bootstrap_config.yaml": remote_config_file.name})
if "ssh_private_key" in config["auth"]:
config["file_mounts"].update({
remote_key_path:
config["auth"]["ssh_private_key"],
})
cli_logger.print("Prepared bootstrap config")
if restart_only:
setup_commands = []
ray_start_commands = config["head_start_ray_commands"]
elif no_restart:
setup_commands = config["head_setup_commands"]
ray_start_commands = []
else:
setup_commands = config["head_setup_commands"]
ray_start_commands = config["head_start_ray_commands"]
if not no_restart:
warn_about_bad_start_command(ray_start_commands)
updater = NodeUpdaterThread(
node_id=head_node,
provider_config=config["provider"],
provider=provider,
auth_config=config["auth"],
cluster_name=config["cluster_name"],
file_mounts=config["file_mounts"],
initialization_commands=config["initialization_commands"],
setup_commands=setup_commands,
ray_start_commands=ray_start_commands,
process_runner=_runner,
runtime_hash=runtime_hash,
file_mounts_contents_hash=file_mounts_contents_hash,
is_head_node=True,
docker_config=config.get("docker"))
updater.start()
updater.join()
# Refresh the node cache so we see the external ip if available
provider.non_terminated_nodes(head_node_tags)
if config.get("provider", {}).get("use_internal_ips",
False) is True:
head_node_ip = provider.internal_ip(head_node)
else:
head_node_ip = provider.external_ip(head_node)
if updater.exitcode != 0:
# todo: this does not follow the mockup and is not good enough
cli_logger.abort("Failed to setup head node.")
cli_logger.old_error(
logger, "get_or_create_head_node: "
"Updating {} failed", head_node_ip)
sys.exit(1)
cli_logger.old_info(
logger, "get_or_create_head_node: "
"Head node up-to-date, IP address is: {}", head_node_ip)
monitor_str = "tail -n 100 -f /tmp/ray/session_*/logs/monitor*"
if override_cluster_name:
modifiers = " --cluster-name={}".format(
quote(override_cluster_name))
else:
modifiers = ""
if cli_logger.old_style:
print("To monitor autoscaling activity, you can run:\n\n"
" ray exec {} {}{}\n".format(config_file,
quote(monitor_str), modifiers))
print("To open a console on the cluster:\n\n"
" ray attach {}{}\n".format(config_file, modifiers))
print("To get a remote shell to the cluster manually, run:\n\n"
" {}\n".format(
updater.cmd_runner.remote_shell_command_str()))
cli_logger.newline()
with cli_logger.group("Useful commands"):
cli_logger.print("Monitor autoscaling with")
cli_logger.print(cf.bold(" ray exec {}{} {}"), raw_config_file,
modifiers, quote(monitor_str))
cli_logger.print("Connect to a terminal on the cluster head")
cli_logger.print(cf.bold(" ray attach {}{}"), raw_config_file,
modifiers)
finally:
provider.cleanup()
def exec_cluster(config_file: str,
*,
cmd: Any = None,
run_env: str = "auto",
screen: bool = False,
tmux: bool = False,
stop: bool = False,
start: bool = False,
override_cluster_name: Optional[str] = None,
no_config_cache: bool = False,
port_forward: Any = None,
with_output: bool = False):
"""Runs a command on the specified cluster.
Arguments:
config_file: path to the cluster yaml
cmd: command to run
run_env: whether to run the command on the host or in a container.
Select between "auto", "host" and "docker"
screen: whether to run in a screen
tmux: whether to run in a tmux session
stop: whether to stop the cluster after command run
start: whether to start the cluster if it isn't up
override_cluster_name: set the name of the cluster
port_forward (int or list[int]): port(s) to forward
"""
assert not (screen and tmux), "Can specify only one of `screen` or `tmux`."
assert run_env in RUN_ENV_TYPES, "--run_env must be in {}".format(
RUN_ENV_TYPES)
# TODO(rliaw): We default this to True to maintain backwards-compat.
# In the future we would want to support disabling login-shells
# and interactivity.
cmd_output_util.set_allow_interactive(True)
config = yaml.safe_load(open(config_file).read())
if override_cluster_name is not None:
config["cluster_name"] = override_cluster_name
config = _bootstrap_config(config, no_config_cache=no_config_cache)
head_node = _get_head_node(config,
config_file,
override_cluster_name,
create_if_needed=start)
provider = get_node_provider(config["provider"], config["cluster_name"])
try:
updater = NodeUpdaterThread(node_id=head_node,
provider_config=config["provider"],
provider=provider,
auth_config=config["auth"],
cluster_name=config["cluster_name"],
file_mounts=config["file_mounts"],
initialization_commands=[],
setup_commands=[],
ray_start_commands=[],
runtime_hash="",
file_mounts_contents_hash="",
is_head_node=True,
docker_config=config.get("docker"))
is_docker = isinstance(updater.cmd_runner, DockerCommandRunner)
if cmd and stop:
cmd += "; ".join([
"ray stop",
"ray teardown ~/ray_bootstrap_config.yaml --yes --workers-only"
])
if is_docker and run_env == "docker":
updater.cmd_runner.shutdown_after_next_cmd()
else:
cmd += "; sudo shutdown -h now"
result = _exec(updater,
cmd,
screen,
tmux,
port_forward=port_forward,
with_output=with_output,
run_env=run_env)
if tmux or screen:
attach_command_parts = ["ray attach", config_file]
if override_cluster_name is not None:
attach_command_parts.append(
"--cluster-name={}".format(override_cluster_name))
if tmux:
attach_command_parts.append("--tmux")
elif screen:
attach_command_parts.append("--screen")
attach_command = " ".join(attach_command_parts)
cli_logger.print("Run `{}` to check command status.",
cf.bold(attach_command))
attach_info = "Use `{}` to check on command status.".format(
attach_command)
cli_logger.old_info(logger, attach_info)
return result
finally:
provider.cleanup()
def teardown_cluster(config_file: str, yes: bool, workers_only: bool,
override_cluster_name: Optional[str],
keep_min_workers: bool):
"""Destroys all nodes of a Ray cluster described by a config json."""
config = yaml.safe_load(open(config_file).read())
if override_cluster_name is not None:
config["cluster_name"] = override_cluster_name
config = prepare_config(config)
validate_config(config)
cli_logger.confirm(yes, "Destroying cluster.", _abort=True)
cli_logger.old_confirm("This will destroy your cluster", yes)
if not workers_only:
try:
exec_cluster(config_file,
cmd="ray stop",
run_env="auto",
screen=False,
tmux=False,
stop=False,
start=False,
override_cluster_name=override_cluster_name,
port_forward=None,
with_output=False)
except Exception as e:
# todo: add better exception info
cli_logger.verbose_error("{}", str(e))
cli_logger.warning(
"Exception occured when stopping the cluster Ray runtime "
"(use -v to dump teardown exceptions).")
cli_logger.warning(
"Ignoring the exception and "
"attempting to shut down the cluster nodes anyway.")
cli_logger.old_exception(
logger, "Ignoring error attempting a clean shutdown.")
provider = get_node_provider(config["provider"], config["cluster_name"])
try:
def remaining_nodes():
workers = provider.non_terminated_nodes(
{TAG_RAY_NODE_KIND: NODE_KIND_WORKER})
if keep_min_workers:
min_workers = config.get("min_workers", 0)
cli_logger.print(
"{} random worker nodes will not be shut down. " +
cf.dimmed("(due to {})"), cf.bold(min_workers),
cf.bold("--keep-min-workers"))
cli_logger.old_info(logger,
"teardown_cluster: Keeping {} nodes...",
min_workers)
workers = random.sample(workers, len(workers) - min_workers)
# todo: it's weird to kill the head node but not all workers
if workers_only:
cli_logger.print(
"The head node will not be shut down. " +
cf.dimmed("(due to {})"), cf.bold("--workers-only"))
return workers
head = provider.non_terminated_nodes(
{TAG_RAY_NODE_KIND: NODE_KIND_HEAD})
return head + workers
def run_docker_stop(node, container_name):
try:
updater = NodeUpdaterThread(
node_id=node,
provider_config=config["provider"],
provider=provider,
auth_config=config["auth"],
cluster_name=config["cluster_name"],
file_mounts=config["file_mounts"],
initialization_commands=[],
setup_commands=[],
ray_start_commands=[],
runtime_hash="",
file_mounts_contents_hash="",
is_head_node=False,
docker_config=config.get("docker"))
_exec(updater,
f"docker stop {container_name}",
False,
False,
run_env="host")
except Exception:
cli_logger.warning(f"Docker stop failed on {node}")
cli_logger.old_warning(logger, f"Docker stop failed on {node}")
# Loop here to check that both the head and worker nodes are actually
# really gone
A = remaining_nodes()
container_name = config.get("docker", {}).get("container_name")
if container_name:
for node in A:
run_docker_stop(node, container_name)
with LogTimer("teardown_cluster: done."):
while A:
cli_logger.old_info(
logger, "teardown_cluster: "
"Shutting down {} nodes...", len(A))
provider.terminate_nodes(A)
cli_logger.print("Requested {} nodes to shut down.",
cf.bold(len(A)),
_tags=dict(interval="1s"))
time.sleep(1) # todo: interval should be a variable
A = remaining_nodes()
cli_logger.print("{} nodes remaining after 1 second.",
cf.bold(len(A)))
cli_logger.success("No nodes remaining.")
finally:
provider.cleanup()
def create_node(self, node_config, tags, count):
tags = copy.deepcopy(tags)
# Try to reuse previously stopped nodes with compatible configs
if self.cache_stopped_nodes:
# TODO(ekl) this is breaking the abstraction boundary a little by
# peeking into the tag set.
filters = [
{
"Name": "instance-state-name",
"Values": ["stopped", "stopping"],
},
{
"Name": "tag:{}".format(TAG_RAY_CLUSTER_NAME),
"Values": [self.cluster_name],
},
{
"Name": "tag:{}".format(TAG_RAY_NODE_KIND),
"Values": [tags[TAG_RAY_NODE_KIND]],
},
{
"Name": "tag:{}".format(TAG_RAY_LAUNCH_CONFIG),
"Values": [tags[TAG_RAY_LAUNCH_CONFIG]],
},
]
# This tag may not always be present.
if TAG_RAY_USER_NODE_TYPE in tags:
filters.append({
"Name": "tag:{}".format(TAG_RAY_USER_NODE_TYPE),
"Values": [tags[TAG_RAY_USER_NODE_TYPE]],
})
reuse_nodes = list(
self.ec2.instances.filter(Filters=filters))[:count]
reuse_node_ids = [n.id for n in reuse_nodes]
if reuse_nodes:
cli_logger.print(
# todo: handle plural vs singular?
"Reusing nodes {}. "
"To disable reuse, set `cache_stopped_nodes: False` "
"under `provider` in the cluster configuration.",
cli_logger.render_list(reuse_node_ids))
cli_logger.old_info(
logger, "AWSNodeProvider: reusing instances {}. "
"To disable reuse, set "
"'cache_stopped_nodes: False' in the provider "
"config.", reuse_node_ids)
# todo: timed?
with cli_logger.group("Stopping instances to reuse"):
for node in reuse_nodes:
self.tag_cache[node.id] = from_aws_format(
{x["Key"]: x["Value"]
for x in node.tags})
if node.state["Name"] == "stopping":
cli_logger.print("Waiting for instance {} to stop",
node.id)
cli_logger.old_info(
logger,
"AWSNodeProvider: waiting for instance "
"{} to fully stop...", node.id)
node.wait_until_stopped()
self.ec2.meta.client.start_instances(
InstanceIds=reuse_node_ids)
for node_id in reuse_node_ids:
self.set_node_tags(node_id, tags)
count -= len(reuse_node_ids)
if count:
self._create_node(node_config, tags, count)
def create_node(self, node_config, tags, count):
# Always add the instance type tag, since node reuse is unsafe
# otherwise.
tags = copy.deepcopy(tags)
tags[TAG_RAY_INSTANCE_TYPE] = node_config["InstanceType"]
# Try to reuse previously stopped nodes with compatible configs
if self.cache_stopped_nodes:
filters = [
{
"Name": "instance-state-name",
"Values": ["stopped", "stopping"],
},
{
"Name": "tag:{}".format(TAG_RAY_CLUSTER_NAME),
"Values": [self.cluster_name],
},
{
"Name": "tag:{}".format(TAG_RAY_NODE_TYPE),
"Values": [tags[TAG_RAY_NODE_TYPE]],
},
{
"Name": "tag:{}".format(TAG_RAY_INSTANCE_TYPE),
"Values": [tags[TAG_RAY_INSTANCE_TYPE]],
},
{
"Name": "tag:{}".format(TAG_RAY_LAUNCH_CONFIG),
"Values": [tags[TAG_RAY_LAUNCH_CONFIG]],
},
]
reuse_nodes = list(
self.ec2.instances.filter(Filters=filters))[:count]
reuse_node_ids = [n.id for n in reuse_nodes]
if reuse_nodes:
cli_logger.print(
# todo: handle plural vs singular?
"Reusing nodes {}. "
"To disable reuse, set `cache_stopped_nodes: False` "
"under `provider` in the cluster configuration.",
cli_logger.render_list(reuse_node_ids))
cli_logger.old_info(
logger, "AWSNodeProvider: reusing instances {}. "
"To disable reuse, set "
"'cache_stopped_nodes: False' in the provider "
"config.", reuse_node_ids)
# todo: timed?
with cli_logger.group("Stopping instances to reuse"):
for node in reuse_nodes:
self.tag_cache[node.id] = from_aws_format(
{x["Key"]: x["Value"]
for x in node.tags})
if node.state["Name"] == "stopping":
cli_logger.print("Waiting for instance {} to stop",
node.id)
cli_logger.old_info(
logger,
"AWSNodeProvider: waiting for instance "
"{} to fully stop...", node.id)
node.wait_until_stopped()
self.ec2.meta.client.start_instances(
InstanceIds=reuse_node_ids)
for node_id in reuse_node_ids:
self.set_node_tags(node_id, tags)
count -= len(reuse_node_ids)
if count:
self._create_node(node_config, tags, count)
def do_update(self):
self.provider.set_node_tags(
self.node_id, {TAG_RAY_NODE_STATUS: STATUS_WAITING_FOR_SSH})
cli_logger.labeled_value("New status", STATUS_WAITING_FOR_SSH)
deadline = time.time() + NODE_START_WAIT_S
self.wait_ready(deadline)
node_tags = self.provider.node_tags(self.node_id)
logger.debug("Node tags: {}".format(str(node_tags)))
# runtime_hash will only change whenever the user restarts
# or updates their cluster with `get_or_create_head_node`
if node_tags.get(TAG_RAY_RUNTIME_CONFIG) == self.runtime_hash and (
self.file_mounts_contents_hash is None
or node_tags.get(TAG_RAY_FILE_MOUNTS_CONTENTS)
== self.file_mounts_contents_hash):
# todo: we lie in the confirmation message since
# full setup might be cancelled here
cli_logger.print(
"Configuration already up to date, "
"skipping file mounts, initalization and setup commands.",
_numbered=("[]", "2-5", 6))
cli_logger.old_info(logger,
"{}{} already up-to-date, skip to ray start",
self.log_prefix, self.node_id)
# When resuming from a stopped instance the runtime_hash may be the
# same, but the container will not be started.
self.cmd_runner.run_init(as_head=self.is_head_node,
file_mounts=self.file_mounts)
else:
cli_logger.print("Updating cluster configuration.",
_tags=dict(hash=self.runtime_hash))
self.provider.set_node_tags(
self.node_id, {TAG_RAY_NODE_STATUS: STATUS_SYNCING_FILES})
cli_logger.labeled_value("New status", STATUS_SYNCING_FILES)
self.sync_file_mounts(self.rsync_up, step_numbers=(2, 6))
# Only run setup commands if runtime_hash has changed because
# we don't want to run setup_commands every time the head node
# file_mounts folders have changed.
if node_tags.get(TAG_RAY_RUNTIME_CONFIG) != self.runtime_hash:
# Run init commands
self.provider.set_node_tags(
self.node_id, {TAG_RAY_NODE_STATUS: STATUS_SETTING_UP})
cli_logger.labeled_value("New status", STATUS_SETTING_UP)
if self.initialization_commands:
with cli_logger.group("Running initialization commands",
_numbered=("[]", 3, 5)):
with LogTimer(self.log_prefix +
"Initialization commands",
show_status=True):
for cmd in self.initialization_commands:
try:
# Overriding the existing SSHOptions class
# with a new SSHOptions class that uses
# this ssh_private_key as its only __init__
# argument.
# Run outside docker.
self.cmd_runner.run(
cmd,
ssh_options_override_ssh_key=self.
auth_config.get("ssh_private_key"),
run_env="host")
except ProcessRunnerError as e:
if e.msg_type == "ssh_command_failed":
cli_logger.error("Failed.")
cli_logger.error(
"See above for stderr.")
raise click.ClickException(
"Initialization command failed."
) from None
else:
cli_logger.print("No initialization commands to run.",
_numbered=("[]", 3, 6))
self.cmd_runner.run_init(as_head=self.is_head_node,
file_mounts=self.file_mounts)
if self.setup_commands:
with cli_logger.group(
"Running setup commands",
# todo: fix command numbering
_numbered=("[]", 4, 6)):
with LogTimer(self.log_prefix + "Setup commands",
show_status=True):
total = len(self.setup_commands)
for i, cmd in enumerate(self.setup_commands):
if cli_logger.verbosity == 0 and len(cmd) > 30:
cmd_to_print = cf.bold(cmd[:30]) + "..."
else:
cmd_to_print = cf.bold(cmd)
cli_logger.print("{}",
cmd_to_print,
_numbered=("()", i, total))
try:
# Runs in the container if docker is in use
self.cmd_runner.run(cmd, run_env="auto")
except ProcessRunnerError as e:
if e.msg_type == "ssh_command_failed":
cli_logger.error("Failed.")
cli_logger.error(
"See above for stderr.")
raise click.ClickException(
"Setup command failed.")
else:
cli_logger.print("No setup commands to run.",
_numbered=("[]", 4, 6))
with cli_logger.group("Starting the Ray runtime",
_numbered=("[]", 6, 6)):
with LogTimer(self.log_prefix + "Ray start commands",
show_status=True):
for cmd in self.ray_start_commands:
if self.node_resources:
env_vars = {
ray_constants.RESOURCES_ENVIRONMENT_VARIABLE:
self.node_resources
}
else:
env_vars = {}
try:
old_redirected = cmd_output_util.is_output_redirected()
cmd_output_util.set_output_redirected(False)
# Runs in the container if docker is in use
self.cmd_runner.run(cmd,
environment_variables=env_vars,
run_env="auto")
cmd_output_util.set_output_redirected(old_redirected)
except ProcessRunnerError as e:
if e.msg_type == "ssh_command_failed":
cli_logger.error("Failed.")
cli_logger.error("See above for stderr.")
raise click.ClickException("Start command failed.")
def _create_node(self, node_config, tags, count):
tags = to_aws_format(tags)
conf = node_config.copy()
# Delete unsupported keys from the node config
try:
del conf["Resources"]
except KeyError:
pass
tag_pairs = [{
"Key": TAG_RAY_CLUSTER_NAME,
"Value": self.cluster_name,
}]
for k, v in tags.items():
tag_pairs.append({
"Key": k,
"Value": v,
})
tag_specs = [{
"ResourceType": "instance",
"Tags": tag_pairs,
}]
user_tag_specs = conf.get("TagSpecifications", [])
# Allow users to add tags and override values of existing
# tags with their own. This only applies to the resource type
# "instance". All other resource types are appended to the list of
# tag specs.
for user_tag_spec in user_tag_specs:
if user_tag_spec["ResourceType"] == "instance":
for user_tag in user_tag_spec["Tags"]:
exists = False
for tag in tag_specs[0]["Tags"]:
if user_tag["Key"] == tag["Key"]:
exists = True
tag["Value"] = user_tag["Value"]
break
if not exists:
tag_specs[0]["Tags"] += [user_tag]
else:
tag_specs += [user_tag_spec]
# SubnetIds is not a real config key: we must resolve to a
# single SubnetId before invoking the AWS API.
subnet_ids = conf.pop("SubnetIds")
for attempt in range(1, BOTO_CREATE_MAX_RETRIES + 1):
try:
subnet_id = subnet_ids[self.subnet_idx % len(subnet_ids)]
cli_logger.old_info(
logger, "NodeProvider: calling create_instances "
"with {} (count={}).", subnet_id, count)
self.subnet_idx += 1
conf.update({
"MinCount": 1,
"MaxCount": count,
"SubnetId": subnet_id,
"TagSpecifications": tag_specs
})
created = self.ec2_fail_fast.create_instances(**conf)
# todo: timed?
# todo: handle plurality?
with cli_logger.group(
"Launching {} nodes",
count,
_tags=dict(subnet_id=subnet_id)):
for instance in created:
cli_logger.print(
"Launched instance {}",
instance.instance_id,
_tags=dict(
state=instance.state["Name"],
info=instance.state_reason["Message"]))
cli_logger.old_info(
logger, "NodeProvider: Created instance "
"[id={}, name={}, info={}]", instance.instance_id,
instance.state["Name"],
instance.state_reason["Message"])
break
except botocore.exceptions.ClientError as exc:
if attempt == BOTO_CREATE_MAX_RETRIES:
# todo: err msg
cli_logger.abort(
"Failed to launch instances. Max attempts exceeded.")
cli_logger.old_error(
logger,
"create_instances: Max attempts ({}) exceeded.",
BOTO_CREATE_MAX_RETRIES)
raise exc
else:
# todo: err msg
cli_logger.abort(exc)
cli_logger.old_error(logger, exc)
#!/usr/bin/env python
# This is an executable script that runs an example of every single CliLogger
# function for demonstration purposes. Primarily useful for tuning color and
# other formatting.
from ray.autoscaler.cli_logger import cli_logger
import colorful as cf
cli_logger.old_style = False
cli_logger.verbosity = 999
cli_logger.detect_colors()
cli_logger.print(
cf.bold("Bold ") + cf.italic("Italic ") + cf.underlined("Underlined"))
cli_logger.labeled_value("Label", "value")
cli_logger.print("List: {}", cli_logger.render_list([1, 2, 3]))
cli_logger.newline()
cli_logger.very_verbose("Very verbose")
cli_logger.verbose("Verbose")
cli_logger.verbose_warning("Verbose warning")
cli_logger.verbose_error("Verbose error")
cli_logger.print("Info")
cli_logger.success("Success")
cli_logger.warning("Warning")
cli_logger.error("Error")
cli_logger.newline()
try:
cli_logger.abort("Abort")
except Exception:
pass
def resolve(self, is_head, node_ip_address=None):
"""Returns a copy with values filled out with system defaults.
Args:
is_head (bool): Whether this is the head node.
node_ip_address (str): The IP address of the node that we are on.
This is used to automatically create a node id resource.
"""
resources = (self.resources or {}).copy()
assert "CPU" not in resources, resources
assert "GPU" not in resources, resources
assert "memory" not in resources, resources
assert "object_store_memory" not in resources, resources
if node_ip_address is None:
node_ip_address = ray.services.get_node_ip_address()
# Automatically create a node id resource on each node. This is
# queryable with ray.state.node_ids() and ray.state.current_node_id().
resources[NODE_ID_PREFIX + node_ip_address] = 1.0
num_cpus = self.num_cpus
if num_cpus is None:
num_cpus = multiprocessing.cpu_count()
num_gpus = self.num_gpus
gpu_ids = ray.utils.get_cuda_visible_devices()
# Check that the number of GPUs that the raylet wants doesn't
# excede the amount allowed by CUDA_VISIBLE_DEVICES.
if (num_gpus is not None and gpu_ids is not None
and num_gpus > len(gpu_ids)):
raise ValueError("Attempting to start raylet with {} GPUs, "
"but CUDA_VISIBLE_DEVICES contains {}.".format(
num_gpus, gpu_ids))
if num_gpus is None:
# Try to automatically detect the number of GPUs.
num_gpus = _autodetect_num_gpus()
# Don't use more GPUs than allowed by CUDA_VISIBLE_DEVICES.
if gpu_ids is not None:
num_gpus = min(num_gpus, len(gpu_ids))
try:
info_string = _get_gpu_info_string()
gpu_types = _constraints_from_gpu_info(info_string)
resources.update(gpu_types)
except Exception:
logger.exception("Could not parse gpu information.")
# Choose a default object store size.
system_memory = ray.utils.get_system_memory()
avail_memory = ray.utils.estimate_available_memory()
object_store_memory = self.object_store_memory
if object_store_memory is None:
object_store_memory = int(avail_memory * 0.3)
# Cap memory to avoid memory waste and perf issues on large nodes
if (object_store_memory >
ray_constants.DEFAULT_OBJECT_STORE_MAX_MEMORY_BYTES):
logger.debug(
"Warning: Capping object memory store to {}GB. ".format(
ray_constants.DEFAULT_OBJECT_STORE_MAX_MEMORY_BYTES //
1e9) +
"To increase this further, specify `object_store_memory` "
"when calling ray.init() or ray start.")
object_store_memory = (
ray_constants.DEFAULT_OBJECT_STORE_MAX_MEMORY_BYTES)
redis_max_memory = self.redis_max_memory
if redis_max_memory is None:
redis_max_memory = min(
ray_constants.DEFAULT_REDIS_MAX_MEMORY_BYTES,
max(int(avail_memory * 0.1),
ray_constants.REDIS_MINIMUM_MEMORY_BYTES))
if redis_max_memory < ray_constants.REDIS_MINIMUM_MEMORY_BYTES:
raise ValueError(
"Attempting to cap Redis memory usage at {} bytes, "
"but the minimum allowed is {} bytes.".format(
redis_max_memory,
ray_constants.REDIS_MINIMUM_MEMORY_BYTES))
memory = self.memory
if memory is None:
memory = (avail_memory - object_store_memory -
(redis_max_memory if is_head else 0))
if memory < 100e6 and memory < 0.05 * system_memory:
raise ValueError(
"After taking into account object store and redis memory "
"usage, the amount of memory on this node available for "
"tasks and actors ({} GB) is less than {}% of total. "
"You can adjust these settings with "
"ray.init(memory=<bytes>, "
"object_store_memory=<bytes>).".format(
round(memory / 1e9, 2),
int(100 * (memory / system_memory))))
rounded_memory = ray_constants.round_to_memory_units(memory,
round_up=False)
worker_ram = round(rounded_memory / (1024**3), 2)
object_ram = round(object_store_memory / (1024**3), 2)
# TODO(maximsmol): this behavior is strange since we do not have a
# good grasp on when this will get called
# (you have to study node.py to make a guess)
with cli_logger.group("Available RAM"):
cli_logger.labeled_value("Workers", "{} GiB", str(worker_ram))
cli_logger.labeled_value("Objects", "{} GiB", str(object_ram))
cli_logger.newline()
cli_logger.print("To adjust these values, use")
with cf.with_style("monokai") as c:
cli_logger.print(
" ray{0}init(memory{1}{2}, "
"object_store_memory{1}{2})", c.magenta("."),
c.magenta("="), c.purple("<bytes>"))
cli_logger.old_info(
logger,
"Starting Ray with {} GiB memory available for workers and up to "
"{} GiB for objects. You can adjust these settings "
"with ray.init(memory=<bytes>, "
"object_store_memory=<bytes>).", worker_ram, object_ram)
spec = ResourceSpec(num_cpus, num_gpus, memory, object_store_memory,
resources, redis_max_memory)
assert spec.resolved()
return spec
def do_update(self):
self.provider.set_node_tags(
self.node_id, {TAG_RAY_NODE_STATUS: STATUS_WAITING_FOR_SSH})
cli_logger.labeled_value("New status", STATUS_WAITING_FOR_SSH)
deadline = time.time() + NODE_START_WAIT_S
self.wait_ready(deadline)
node_tags = self.provider.node_tags(self.node_id)
logger.debug("Node tags: {}".format(str(node_tags)))
# runtime_hash will only change whenever the user restarts
# or updates their cluster with `get_or_create_head_node`
if node_tags.get(TAG_RAY_RUNTIME_CONFIG) == self.runtime_hash and (
self.file_mounts_contents_hash is None
or node_tags.get(TAG_RAY_FILE_MOUNTS_CONTENTS) ==
self.file_mounts_contents_hash):
# todo: we lie in the confirmation message since
# full setup might be cancelled here
cli_logger.print(
"Configuration already up to date, "
"skipping file mounts, initalization and setup commands.")
cli_logger.old_info(logger,
"{}{} already up-to-date, skip to ray start",
self.log_prefix, self.node_id)
else:
cli_logger.print(
"Updating cluster configuration.",
_tags=dict(hash=self.runtime_hash))
self.provider.set_node_tags(
self.node_id, {TAG_RAY_NODE_STATUS: STATUS_SYNCING_FILES})
cli_logger.labeled_value("New status", STATUS_SYNCING_FILES)
self.sync_file_mounts(self.rsync_up)
# Only run setup commands if runtime_hash has changed because
# we don't want to run setup_commands every time the head node
# file_mounts folders have changed.
if node_tags.get(TAG_RAY_RUNTIME_CONFIG) != self.runtime_hash:
# Run init commands
self.provider.set_node_tags(
self.node_id, {TAG_RAY_NODE_STATUS: STATUS_SETTING_UP})
cli_logger.labeled_value("New status", STATUS_SETTING_UP)
if self.initialization_commands:
with cli_logger.group(
"Running initialization commands",
_numbered=("[]", 4,
6)): # todo: fix command numbering
with LogTimer(
self.log_prefix + "Initialization commands",
show_status=True):
for cmd in self.initialization_commands:
self.cmd_runner.run(
cmd,
ssh_options_override=SSHOptions(
self.auth_config.get(
"ssh_private_key")))
else:
cli_logger.print(
"No initialization commands to run.",
_numbered=("[]", 4, 6))
if self.setup_commands:
with cli_logger.group(
"Running setup commands",
_numbered=("[]", 5,
6)): # todo: fix command numbering
with LogTimer(
self.log_prefix + "Setup commands",
show_status=True):
total = len(self.setup_commands)
for i, cmd in enumerate(self.setup_commands):
if cli_logger.verbosity == 0:
cmd_to_print = cf.bold(cmd[:30]) + "..."
else:
cmd_to_print = cf.bold(cmd)
cli_logger.print(
"{}",
cmd_to_print,
_numbered=("()", i, total))
self.cmd_runner.run(cmd)
else:
cli_logger.print(
"No setup commands to run.", _numbered=("[]", 5, 6))
with cli_logger.group(
"Starting the Ray runtime", _numbered=("[]", 6, 6)):
with LogTimer(
self.log_prefix + "Ray start commands", show_status=True):
for cmd in self.ray_start_commands:
self.cmd_runner.run(cmd)
def teardown_cluster(config_file: str, yes: bool, workers_only: bool,
override_cluster_name: Optional[str],
keep_min_workers: bool, log_old_style: bool,
log_color: str, verbose: int):
"""Destroys all nodes of a Ray cluster described by a config json."""
cli_logger.old_style = log_old_style
cli_logger.color_mode = log_color
cli_logger.verbosity = verbose
cli_logger.dump_command_output = verbose == 3 # todo: add a separate flag?
config = yaml.safe_load(open(config_file).read())
if override_cluster_name is not None:
config["cluster_name"] = override_cluster_name
config = prepare_config(config)
validate_config(config)
cli_logger.confirm(yes, "Destroying cluster.", _abort=True)
cli_logger.old_confirm("This will destroy your cluster", yes)
if not workers_only:
try:
exec_cluster(config_file,
cmd="ray stop",
run_env="auto",
screen=False,
tmux=False,
stop=False,
start=False,
override_cluster_name=override_cluster_name,
port_forward=None,
with_output=False)
except Exception as e:
# todo: add better exception info
cli_logger.verbose_error("{}", str(e))
cli_logger.warning(
"Exception occured when stopping the cluster Ray runtime "
"(use -v to dump teardown exceptions).")
cli_logger.warning(
"Ignoring the exception and "
"attempting to shut down the cluster nodes anyway.")
cli_logger.old_exception(
logger, "Ignoring error attempting a clean shutdown.")
provider = get_node_provider(config["provider"], config["cluster_name"])
try:
def remaining_nodes():
workers = provider.non_terminated_nodes(
{TAG_RAY_NODE_TYPE: NODE_TYPE_WORKER})
if keep_min_workers:
min_workers = config.get("min_workers", 0)
cli_logger.print(
"{} random worker nodes will not be shut down. " +
cf.gray("(due to {})"), cf.bold(min_workers),
cf.bold("--keep-min-workers"))
cli_logger.old_info(logger,
"teardown_cluster: Keeping {} nodes...",
min_workers)
workers = random.sample(workers, len(workers) - min_workers)
# todo: it's weird to kill the head node but not all workers
if workers_only:
cli_logger.print(
"The head node will not be shut down. " +
cf.gray("(due to {})"), cf.bold("--workers-only"))
return workers
head = provider.non_terminated_nodes(
{TAG_RAY_NODE_TYPE: NODE_TYPE_HEAD})
return head + workers
# Loop here to check that both the head and worker nodes are actually
# really gone
A = remaining_nodes()
with LogTimer("teardown_cluster: done."):
while A:
cli_logger.old_info(
logger, "teardown_cluster: "
"Shutting down {} nodes...", len(A))
provider.terminate_nodes(A)
cli_logger.print("Requested {} nodes to shut down.",
cf.bold(len(A)),
_tags=dict(interval="1s"))
time.sleep(1) # todo: interval should be a variable
A = remaining_nodes()
cli_logger.print("{} nodes remaining after 1 second.",
cf.bold(len(A)))
finally:
provider.cleanup()