import atexit import collections import datetime import errno import json import logging import os import random import signal import socket import subprocess import sys import tempfile import threading import time from typing import Optional, Dict from collections import defaultdict import ray import ray.ray_constants as ray_constants import ray._private.services import ray.utils from ray.resource_spec import ResourceSpec from ray.utils import try_to_create_directory, try_to_symlink, open_log # Logger for this module. It should be configured at the entry point # into the program using Ray. Ray configures it by default automatically # using logging.basicConfig in its entry/init points. logger = logging.getLogger(__name__) SESSION_LATEST = "session_latest" NUM_PORT_RETRIES = 40 NUM_REDIS_GET_RETRIES = 20 def _get_with_retry(redis_client, key, num_retries=NUM_REDIS_GET_RETRIES): result = None for i in range(num_retries): result = redis_client.get(key) if result is not None: break else: logger.debug(f"Fetched {key}=None from redis. Retrying.") time.sleep(2) if not result: raise RuntimeError(f"Could not read '{key}' from GCS (redis). " "Has redis started correctly on the head node?") return result class Node: """An encapsulation of the Ray processes on a single node. This class is responsible for starting Ray processes and killing them, and it also controls the temp file policy. Attributes: all_processes (dict): A mapping from process type (str) to a list of ProcessInfo objects. All lists have length one except for the Redis server list, which has multiple. """ def __init__(self, ray_params, head=False, shutdown_at_exit=True, spawn_reaper=True, connect_only=False): """Start a node. Args: ray_params (ray.params.RayParams): The parameters to use to configure the node. head (bool): True if this is the head node, which means it will start additional processes like the Redis servers, monitor processes, and web UI. shutdown_at_exit (bool): If true, spawned processes will be cleaned up if this process exits normally. spawn_reaper (bool): If true, spawns a process that will clean up other spawned processes if this process dies unexpectedly. connect_only (bool): If true, connect to the node without starting new processes. """ if shutdown_at_exit: if connect_only: raise ValueError("'shutdown_at_exit' and 'connect_only' " "cannot both be true.") self._register_shutdown_hooks() self.head = head self.kernel_fate_share = bool( spawn_reaper and ray.utils.detect_fate_sharing_support()) self.all_processes = {} self.removal_lock = threading.Lock() # Try to get node IP address with the parameters. if ray_params.node_ip_address: node_ip_address = ray_params.node_ip_address elif ray_params.redis_address: node_ip_address = ray._private.services.get_node_ip_address( ray_params.redis_address) else: node_ip_address = ray._private.services.get_node_ip_address() self._node_ip_address = node_ip_address if ray_params.raylet_ip_address: raylet_ip_address = ray_params.raylet_ip_address else: raylet_ip_address = node_ip_address if raylet_ip_address != node_ip_address and (not connect_only or head): raise ValueError( "The raylet IP address should only be different than the node " "IP address when connecting to an existing raylet; i.e., when " "head=False and connect_only=True.") if ray_params._system_config and len( ray_params._system_config) > 0 and (not head and not connect_only): raise ValueError( "Internal config parameters can only be set on the head node.") self._raylet_ip_address = raylet_ip_address ray_params.update_if_absent( include_log_monitor=True, resources={}, temp_dir=ray.utils.get_ray_temp_dir(), worker_path=os.path.join( os.path.dirname(os.path.abspath(__file__)), "workers/default_worker.py")) self._resource_spec = None self._localhost = socket.gethostbyname("localhost") self._ray_params = ray_params self._redis_address = ray_params.redis_address self._config = ray_params._system_config or {} # Enable Plasma Store as a thread by default. if "plasma_store_as_thread" not in self._config: self._config["plasma_store_as_thread"] = True # Configure log rotation parameters. self.max_bytes = int( os.getenv("RAY_ROTATION_MAX_BYTES", ray_constants.LOGGING_ROTATE_BYTES)) self.backup_count = int( os.getenv("RAY_ROTATION_BACKUP_COUNT", ray_constants.LOGGING_ROTATE_BACKUP_COUNT)) assert self.max_bytes >= 0 assert self.backup_count >= 0 # Register the temp dir. if head: redis_client = None # date including microsecond date_str = datetime.datetime.today().strftime( "%Y-%m-%d_%H-%M-%S_%f") self.session_name = f"session_{date_str}_{os.getpid()}" else: redis_client = self.create_redis_client() session_name = _get_with_retry(redis_client, "session_name") self.session_name = ray.utils.decode(session_name) self._init_temp(redis_client) # If it is a head node, try validating if # external storage is configurable. if head: self.validate_external_storage() if connect_only: # Get socket names from the configuration. self._plasma_store_socket_name = ( ray_params.plasma_store_socket_name) self._raylet_socket_name = ray_params.raylet_socket_name # If user does not provide the socket name, get it from Redis. if (self._plasma_store_socket_name is None or self._raylet_socket_name is None or self._ray_params.node_manager_port is None): # Get the address info of the processes to connect to # from Redis. address_info = ( ray._private.services.get_address_info_from_redis( self.redis_address, self._raylet_ip_address, redis_password=self.redis_password)) self._plasma_store_socket_name = address_info[ "object_store_address"] self._raylet_socket_name = address_info["raylet_socket_name"] self._ray_params.node_manager_port = address_info[ "node_manager_port"] else: # If the user specified a socket name, use it. self._plasma_store_socket_name = self._prepare_socket_file( self._ray_params.plasma_store_socket_name, default_prefix="plasma_store") self._raylet_socket_name = self._prepare_socket_file( self._ray_params.raylet_socket_name, default_prefix="raylet") self.metrics_agent_port = self._get_cached_port( "metrics_agent_port", default_port=ray_params.metrics_agent_port) self._metrics_export_port = self._get_cached_port( "metrics_export_port", default_port=ray_params.metrics_export_port) ray_params.update_if_absent( metrics_agent_port=self.metrics_agent_port, metrics_export_port=self._metrics_export_port) if head: ray_params.update_if_absent(num_redis_shards=1) self._webui_url = None else: self._webui_url = ( ray._private.services.get_webui_url_from_redis(redis_client)) if head or not connect_only: # We need to start a local raylet. if (self._ray_params.node_manager_port is None or self._ray_params.node_manager_port == 0): # No port specified. Pick a random port for the raylet to use. # NOTE: There is a possible but unlikely race condition where # the port is bound by another process between now and when the # raylet starts. self._ray_params.node_manager_port, self._socket = \ self._get_unused_port(close_on_exit=False) if not connect_only and spawn_reaper and not self.kernel_fate_share: self.start_reaper_process() # Start processes. if head: self.start_head_processes() redis_client = self.create_redis_client() redis_client.set("session_name", self.session_name) redis_client.set("session_dir", self._session_dir) redis_client.set("temp_dir", self._temp_dir) if not connect_only: self.start_ray_processes() def _register_shutdown_hooks(self): # Register the atexit handler. In this case, we shouldn't call sys.exit # as we're already in the exit procedure. def atexit_handler(*args): self.kill_all_processes(check_alive=False, allow_graceful=True) atexit.register(atexit_handler) # Register the handler to be called if we get a SIGTERM. # In this case, we want to exit with an error code (1) after # cleaning up child processes. def sigterm_handler(signum, frame): self.kill_all_processes(check_alive=False, allow_graceful=True) sys.exit(1) ray.utils.set_sigterm_handler(sigterm_handler) def _init_temp(self, redis_client): # Create a dictionary to store temp file index. self._incremental_dict = collections.defaultdict(lambda: 0) if self.head: self._temp_dir = self._ray_params.temp_dir else: temp_dir = _get_with_retry(redis_client, "temp_dir") self._temp_dir = ray.utils.decode(temp_dir) try_to_create_directory(self._temp_dir) if self.head: self._session_dir = os.path.join(self._temp_dir, self.session_name) else: session_dir = _get_with_retry(redis_client, "session_dir") self._session_dir = ray.utils.decode(session_dir) session_symlink = os.path.join(self._temp_dir, SESSION_LATEST) # Send a warning message if the session exists. try_to_create_directory(self._session_dir) try_to_symlink(session_symlink, self._session_dir) # Create a directory to be used for socket files. self._sockets_dir = os.path.join(self._session_dir, "sockets") try_to_create_directory(self._sockets_dir) # Create a directory to be used for process log files. self._logs_dir = os.path.join(self._session_dir, "logs") try_to_create_directory(self._logs_dir) old_logs_dir = os.path.join(self._logs_dir, "old") try_to_create_directory(old_logs_dir) def get_resource_spec(self): """Resolve and return the current resource spec for the node.""" def merge_resources(env_dict, params_dict): """Separates special case params and merges two dictionaries, picking from the first in the event of a conflict. Also emit a warning on every conflict. """ num_cpus = env_dict.pop("CPU", None) num_gpus = env_dict.pop("GPU", None) memory = env_dict.pop("memory", None) object_store_memory = env_dict.pop("object_store_memory", None) result = params_dict.copy() result.update(env_dict) for key in set(env_dict.keys()).intersection( set(params_dict.keys())): if params_dict[key] != env_dict[key]: logger.warning("Autoscaler is overriding your resource:" "{}: {} with {}.".format( key, params_dict[key], env_dict[key])) return num_cpus, num_gpus, memory, object_store_memory, result if not self._resource_spec: env_resources = {} env_string = os.getenv( ray_constants.RESOURCES_ENVIRONMENT_VARIABLE) if env_string: env_resources = json.loads(env_string) logger.debug( f"Autoscaler overriding resources: {env_resources}.") num_cpus, num_gpus, memory, object_store_memory, resources = \ merge_resources(env_resources, self._ray_params.resources) self._resource_spec = ResourceSpec( self._ray_params.num_cpus if num_cpus is None else num_cpus, self._ray_params.num_gpus if num_gpus is None else num_gpus, self._ray_params.memory if memory is None else memory, self._ray_params.object_store_memory if object_store_memory is None else object_store_memory, resources, self._ray_params.redis_max_memory).resolve( is_head=self.head, node_ip_address=self.node_ip_address) return self._resource_spec @property def node_ip_address(self): """Get the IP address of this node.""" return self._node_ip_address @property def raylet_ip_address(self): """Get the IP address of the raylet that this node connects to.""" return self._raylet_ip_address @property def address(self): """Get the cluster address.""" return self._redis_address @property def redis_address(self): """Get the cluster Redis address.""" return self._redis_address @property def redis_password(self): """Get the cluster Redis password""" return self._ray_params.redis_password @property def object_ref_seed(self): """Get the seed for deterministic generation of object refs""" return self._ray_params.object_ref_seed @property def plasma_store_socket_name(self): """Get the node's plasma store socket name.""" return self._plasma_store_socket_name @property def unique_id(self): """Get a unique identifier for this node.""" return f"{self.node_ip_address}:{self._plasma_store_socket_name}" @property def webui_url(self): """Get the cluster's web UI url.""" return self._webui_url @property def raylet_socket_name(self): """Get the node's raylet socket name.""" return self._raylet_socket_name @property def node_manager_port(self): """Get the node manager's port.""" return self._ray_params.node_manager_port @property def metrics_export_port(self): """Get the port that exposes metrics""" return self._metrics_export_port @property def socket(self): """Get the socket reserving the node manager's port""" try: return self._socket except AttributeError: return None @property def logging_config(self): """Get the logging config of the current node.""" return { "log_rotation_max_bytes": self.max_bytes, "log_rotation_backup_count": self.backup_count } @property def address_info(self): """Get a dictionary of addresses.""" return { "node_ip_address": self._node_ip_address, "raylet_ip_address": self._raylet_ip_address, "redis_address": self._redis_address, "object_store_address": self._plasma_store_socket_name, "raylet_socket_name": self._raylet_socket_name, "webui_url": self._webui_url, "session_dir": self._session_dir, "metrics_export_port": self._metrics_export_port } def is_head(self): return self.head def create_redis_client(self): """Create a redis client.""" return ray._private.services.create_redis_client( self._redis_address, self._ray_params.redis_password) def get_temp_dir_path(self): """Get the path of the temporary directory.""" return self._temp_dir def get_session_dir_path(self): """Get the path of the session directory.""" return self._session_dir def get_logs_dir_path(self): """Get the path of the log files directory.""" return self._logs_dir def get_sockets_dir_path(self): """Get the path of the sockets directory.""" return self._sockets_dir def _make_inc_temp(self, suffix="", prefix="", directory_name=None): """Return a incremental temporary file name. The file is not created. Args: suffix (str): The suffix of the temp file. prefix (str): The prefix of the temp file. directory_name (str) : The base directory of the temp file. Returns: A string of file name. If there existing a file having the same name, the returned name will look like "{directory_name}/{prefix}.{unique_index}{suffix}" """ if directory_name is None: directory_name = ray.utils.get_ray_temp_dir() directory_name = os.path.expanduser(directory_name) index = self._incremental_dict[suffix, prefix, directory_name] # `tempfile.TMP_MAX` could be extremely large, # so using `range` in Python2.x should be avoided. while index < tempfile.TMP_MAX: if index == 0: filename = os.path.join(directory_name, prefix + suffix) else: filename = os.path.join(directory_name, prefix + "." + str(index) + suffix) index += 1 if not os.path.exists(filename): # Save the index. self._incremental_dict[suffix, prefix, directory_name] = index return filename raise FileExistsError(errno.EEXIST, "No usable temporary filename found") def get_log_file_handles(self, name, unique=False): """Open log files with partially randomized filenames, returning the file handles. If output redirection has been disabled, no files will be opened and `(None, None)` will be returned. Args: name (str): descriptive string for this log file. unique (bool): if true, a counter will be attached to `name` to ensure the returned filename is not already used. Returns: A tuple of two file handles for redirecting (stdout, stderr), or `(None, None)` if output redirection is disabled. """ redirect_output = self._ray_params.redirect_output if redirect_output is None: # Make the default behavior match that of glog. redirect_output = os.getenv("GLOG_logtostderr") != "1" if not redirect_output: return None, None log_stdout, log_stderr = self._get_log_file_names(name, unique=unique) return open_log(log_stdout), open_log(log_stderr) def _get_log_file_names(self, name, unique=False): """Generate partially randomized filenames for log files. Args: name (str): descriptive string for this log file. unique (bool): if true, a counter will be attached to `name` to ensure the returned filename is not already used. Returns: A tuple of two file names for redirecting (stdout, stderr). """ if unique: log_stdout = self._make_inc_temp( suffix=".out", prefix=name, directory_name=self._logs_dir) log_stderr = self._make_inc_temp( suffix=".err", prefix=name, directory_name=self._logs_dir) else: log_stdout = os.path.join(self._logs_dir, f"{name}.out") log_stderr = os.path.join(self._logs_dir, f"{name}.err") return log_stdout, log_stderr def _get_unused_port(self, close_on_exit=True): s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.bind(("", 0)) port = s.getsockname()[1] # Try to generate a port that is far above the 'next available' one. # This solves issue #8254 where GRPC fails because the port assigned # from this method has been used by a different process. for _ in range(NUM_PORT_RETRIES): new_port = random.randint(port, 65535) new_s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) try: new_s.bind(("", new_port)) except OSError: new_s.close() continue s.close() if close_on_exit: new_s.close() return new_port, new_s logger.error("Unable to succeed in selecting a random port.") if close_on_exit: s.close() return port, s def _prepare_socket_file(self, socket_path, default_prefix): """Prepare the socket file for raylet and plasma. This method helps to prepare a socket file. 1. Make the directory if the directory does not exist. 2. If the socket file exists, do nothing (this just means we aren't the first worker on the node). Args: socket_path (string): the socket file to prepare. """ result = socket_path is_mac = sys.platform.startswith("darwin") if sys.platform == "win32": if socket_path is None: result = (f"tcp://{self._localhost}" f":{self._get_unused_port()[0]}") else: if socket_path is None: result = self._make_inc_temp( prefix=default_prefix, directory_name=self._sockets_dir) else: try_to_create_directory(os.path.dirname(socket_path)) # Check socket path length to make sure it's short enough maxlen = (104 if is_mac else 108) - 1 # sockaddr_un->sun_path if len(result.split("://", 1)[-1].encode("utf-8")) > maxlen: raise OSError("AF_UNIX path length cannot exceed " "{} bytes: {!r}".format(maxlen, result)) return result def _get_cached_port(self, port_name: str, default_port: Optional[int] = None) -> int: """Get a port number from a cache on this node. Different driver processes on a node should use the same ports for some purposes, e.g. exporting metrics. This method returns a port number for the given port name and caches it in a file. If the port isn't already cached, an unused port is generated and cached. Args: port_name (str): the name of the port, e.g. metrics_export_port default_port (Optional[int]): The port to return and cache if no port has already been cached for the given port_name. If None, an unused port is generated and cached. Returns: port (int): the port number. """ file_path = os.path.join(self.get_session_dir_path(), "ports_by_node.json") # Maps a Node.unique_id to a dict that maps port names to port numbers. ports_by_node: Dict[str, Dict[str, int]] = defaultdict(dict) if not os.path.exists(file_path): with open(file_path, "w") as f: json.dump({}, f) with open(file_path, "r") as f: ports_by_node.update(json.load(f)) if (self.unique_id in ports_by_node and port_name in ports_by_node[self.unique_id]): # The port has already been cached at this node, so use it. port = int(ports_by_node[self.unique_id][port_name]) else: # Pick a new port to use and cache it at this node. port = (default_port or self._get_unused_port()[0]) ports_by_node[self.unique_id][port_name] = port with open(file_path, "w") as f: json.dump(ports_by_node, f) return port def start_reaper_process(self): """ Start the reaper process. This must be the first process spawned and should only be called when ray processes should be cleaned up if this process dies. """ assert not self.kernel_fate_share, ( "a reaper should not be used with kernel fate-sharing") process_info = ray._private.services.start_reaper(fate_share=False) assert ray_constants.PROCESS_TYPE_REAPER not in self.all_processes if process_info is not None: self.all_processes[ray_constants.PROCESS_TYPE_REAPER] = [ process_info, ] def start_redis(self): """Start the Redis servers.""" assert self._redis_address is None redis_log_files = [self.get_log_file_handles("redis", unique=True)] for i in range(self._ray_params.num_redis_shards): redis_log_files.append( self.get_log_file_handles(f"redis-shard_{i}", unique=True)) (self._redis_address, redis_shards, process_infos) = ray._private.services.start_redis( self._node_ip_address, redis_log_files, self.get_resource_spec(), port=self._ray_params.redis_port, redis_shard_ports=self._ray_params.redis_shard_ports, num_redis_shards=self._ray_params.num_redis_shards, redis_max_clients=self._ray_params.redis_max_clients, redirect_worker_output=True, password=self._ray_params.redis_password, fate_share=self.kernel_fate_share) assert ( ray_constants.PROCESS_TYPE_REDIS_SERVER not in self.all_processes) self.all_processes[ray_constants.PROCESS_TYPE_REDIS_SERVER] = ( process_infos) def start_log_monitor(self): """Start the log monitor.""" process_info = ray._private.services.start_log_monitor( self.redis_address, self._logs_dir, stdout_file=subprocess.DEVNULL, stderr_file=subprocess.DEVNULL, redis_password=self._ray_params.redis_password, fate_share=self.kernel_fate_share, max_bytes=self.max_bytes, backup_count=self.backup_count) assert ray_constants.PROCESS_TYPE_LOG_MONITOR not in self.all_processes self.all_processes[ray_constants.PROCESS_TYPE_LOG_MONITOR] = [ process_info, ] def start_dashboard(self, require_dashboard): """Start the dashboard. Args: require_dashboard (bool): If true, this will raise an exception if we fail to start the dashboard. Otherwise it will print a warning if we fail to start the dashboard. """ self._webui_url, process_info = ray._private.services.start_dashboard( require_dashboard, self._ray_params.dashboard_host, self.redis_address, self._temp_dir, self._logs_dir, stdout_file=subprocess.DEVNULL, # Avoid hang(fd inherit) stderr_file=subprocess.DEVNULL, # Avoid hang(fd inherit) redis_password=self._ray_params.redis_password, fate_share=self.kernel_fate_share, max_bytes=self.max_bytes, backup_count=self.backup_count, port=self._ray_params.dashboard_port) assert ray_constants.PROCESS_TYPE_DASHBOARD not in self.all_processes if process_info is not None: self.all_processes[ray_constants.PROCESS_TYPE_DASHBOARD] = [ process_info, ] redis_client = self.create_redis_client() redis_client.hset("webui", mapping={"url": self._webui_url}) def start_plasma_store(self, plasma_directory, object_store_memory): """Start the plasma store.""" stdout_file, stderr_file = self.get_log_file_handles( "plasma_store", unique=True) process_info = ray._private.services.start_plasma_store( self.get_resource_spec(), plasma_directory, object_store_memory, self._plasma_store_socket_name, stdout_file=stdout_file, stderr_file=stderr_file, huge_pages=self._ray_params.huge_pages, keep_idle=bool(self._config.get("plasma_store_as_thread")), fate_share=self.kernel_fate_share) assert ( ray_constants.PROCESS_TYPE_PLASMA_STORE not in self.all_processes) self.all_processes[ray_constants.PROCESS_TYPE_PLASMA_STORE] = [ process_info, ] def start_gcs_server(self): """Start the gcs server. """ stdout_file, stderr_file = self.get_log_file_handles( "gcs_server", unique=True) process_info = ray._private.services.start_gcs_server( self._redis_address, stdout_file=stdout_file, stderr_file=stderr_file, redis_password=self._ray_params.redis_password, config=self._config, fate_share=self.kernel_fate_share, gcs_server_port=self._ray_params.gcs_server_port, metrics_agent_port=self._ray_params.metrics_agent_port, node_ip_address=self._node_ip_address) assert ( ray_constants.PROCESS_TYPE_GCS_SERVER not in self.all_processes) self.all_processes[ray_constants.PROCESS_TYPE_GCS_SERVER] = [ process_info, ] def start_raylet(self, plasma_directory, object_store_memory, use_valgrind=False, use_profiler=False): """Start the raylet. Args: use_valgrind (bool): True if we should start the process in valgrind. use_profiler (bool): True if we should start the process in the valgrind profiler. """ stdout_file, stderr_file = self.get_log_file_handles( "raylet", unique=True) process_info = ray._private.services.start_raylet( self._redis_address, self._node_ip_address, self._ray_params.node_manager_port, self._raylet_socket_name, self._plasma_store_socket_name, self._ray_params.worker_path, self._temp_dir, self._session_dir, self._logs_dir, self.get_resource_spec(), plasma_directory, object_store_memory, min_worker_port=self._ray_params.min_worker_port, max_worker_port=self._ray_params.max_worker_port, worker_port_list=self._ray_params.worker_port_list, object_manager_port=self._ray_params.object_manager_port, redis_password=self._ray_params.redis_password, metrics_agent_port=self._ray_params.metrics_agent_port, metrics_export_port=self._metrics_export_port, use_valgrind=use_valgrind, use_profiler=use_profiler, stdout_file=stdout_file, stderr_file=stderr_file, config=self._config, java_worker_options=self._ray_params.java_worker_options, huge_pages=self._ray_params.huge_pages, fate_share=self.kernel_fate_share, socket_to_use=self.socket, head_node=self.head, max_bytes=self.max_bytes, backup_count=self.backup_count, start_initial_python_workers_for_first_job=self._ray_params. start_initial_python_workers_for_first_job) assert ray_constants.PROCESS_TYPE_RAYLET not in self.all_processes self.all_processes[ray_constants.PROCESS_TYPE_RAYLET] = [process_info] def start_worker(self): """Start a worker process.""" raise NotImplementedError def start_monitor(self): """Start the monitor. Autoscaling output goes to these monitor.err/out files, and any modification to these files may break existing cluster launching commands. """ stdout_file, stderr_file = self.get_log_file_handles( "monitor", unique=True) process_info = ray._private.services.start_monitor( self._redis_address, self._logs_dir, stdout_file=stdout_file, stderr_file=stderr_file, autoscaling_config=self._ray_params.autoscaling_config, redis_password=self._ray_params.redis_password, fate_share=self.kernel_fate_share, max_bytes=self.max_bytes, backup_count=self.backup_count) assert ray_constants.PROCESS_TYPE_MONITOR not in self.all_processes self.all_processes[ray_constants.PROCESS_TYPE_MONITOR] = [process_info] def start_ray_client_server(self): """Start the ray client server process.""" stdout_file, stderr_file = self.get_log_file_handles( "ray_client_server", unique=True) process_info = ray._private.services.start_ray_client_server( self._redis_address, self._ray_params.ray_client_server_port, stdout_file=stdout_file, stderr_file=stderr_file, redis_password=self._ray_params.redis_password, fate_share=self.kernel_fate_share) assert (ray_constants.PROCESS_TYPE_RAY_CLIENT_SERVER not in self.all_processes) self.all_processes[ray_constants.PROCESS_TYPE_RAY_CLIENT_SERVER] = [ process_info ] def start_head_processes(self): """Start head processes on the node.""" logger.debug(f"Process STDOUT and STDERR is being " f"redirected to {self._logs_dir}.") assert self._redis_address is None # If this is the head node, start the relevant head node processes. self.start_redis() self.start_gcs_server() if not self._ray_params.no_monitor: self.start_monitor() if self._ray_params.ray_client_server_port: self.start_ray_client_server() if self._ray_params.include_dashboard: self.start_dashboard(require_dashboard=True) elif self._ray_params.include_dashboard is None: self.start_dashboard(require_dashboard=False) def start_ray_processes(self): """Start all of the processes on the node.""" logger.debug(f"Process STDOUT and STDERR is being " f"redirected to {self._logs_dir}.") # Make sure we don't call `determine_plasma_store_config` multiple # times to avoid printing multiple warnings. resource_spec = self.get_resource_spec() plasma_directory, object_store_memory = \ ray._private.services.determine_plasma_store_config( resource_spec.object_store_memory, plasma_directory=self._ray_params.plasma_directory, huge_pages=self._ray_params.huge_pages ) self.start_plasma_store(plasma_directory, object_store_memory) self.start_raylet(plasma_directory, object_store_memory) if self._ray_params.include_log_monitor: self.start_log_monitor() def _kill_process_type(self, process_type, allow_graceful=False, check_alive=True, wait=False): """Kill a process of a given type. If the process type is PROCESS_TYPE_REDIS_SERVER, then we will kill all of the Redis servers. If the process was started in valgrind, then we will raise an exception if the process has a non-zero exit code. Args: process_type: The type of the process to kill. allow_graceful (bool): Send a SIGTERM first and give the process time to exit gracefully. If that doesn't work, then use SIGKILL. We usually want to do this outside of tests. check_alive (bool): If true, then we expect the process to be alive and will raise an exception if the process is already dead. wait (bool): If true, then this method will not return until the process in question has exited. Raises: This process raises an exception in the following cases: 1. The process had already died and check_alive is true. 2. The process had been started in valgrind and had a non-zero exit code. """ # Ensure thread safety with self.removal_lock: self._kill_process_impl( process_type, allow_graceful=allow_graceful, check_alive=check_alive, wait=wait) def _kill_process_impl(self, process_type, allow_graceful=False, check_alive=True, wait=False): """See `_kill_process_type`.""" if process_type not in self.all_processes: return process_infos = self.all_processes[process_type] if process_type != ray_constants.PROCESS_TYPE_REDIS_SERVER: assert len(process_infos) == 1 for process_info in process_infos: process = process_info.process # Handle the case where the process has already exited. if process.poll() is not None: if check_alive: raise RuntimeError( "Attempting to kill a process of type " "'{}', but this process is already dead." .format(process_type)) else: continue if process_info.use_valgrind: process.terminate() process.wait() if process.returncode != 0: message = ("Valgrind detected some errors in process of " "type {}. Error code {}.".format( process_type, process.returncode)) if process_info.stdout_file is not None: with open(process_info.stdout_file, "r") as f: message += "\nPROCESS STDOUT:\n" + f.read() if process_info.stderr_file is not None: with open(process_info.stderr_file, "r") as f: message += "\nPROCESS STDERR:\n" + f.read() raise RuntimeError(message) continue if process_info.use_valgrind_profiler: # Give process signal to write profiler data. os.kill(process.pid, signal.SIGINT) # Wait for profiling data to be written. time.sleep(0.1) if allow_graceful: process.terminate() # Allow the process one second to exit gracefully. timeout_seconds = 1 try: process.wait(timeout_seconds) except subprocess.TimeoutExpired: pass # If the process did not exit, force kill it. if process.poll() is None: process.kill() # The reason we usually don't call process.wait() here is that # there's some chance we'd end up waiting a really long time. if wait: process.wait() del self.all_processes[process_type] def kill_redis(self, check_alive=True): """Kill the Redis servers. Args: check_alive (bool): Raise an exception if any of the processes were already dead. """ self._kill_process_type( ray_constants.PROCESS_TYPE_REDIS_SERVER, check_alive=check_alive) def kill_plasma_store(self, check_alive=True): """Kill the plasma store. Args: check_alive (bool): Raise an exception if the process was already dead. """ self._kill_process_type( ray_constants.PROCESS_TYPE_PLASMA_STORE, check_alive=check_alive) def kill_raylet(self, check_alive=True): """Kill the raylet. Args: check_alive (bool): Raise an exception if the process was already dead. """ self._kill_process_type( ray_constants.PROCESS_TYPE_RAYLET, check_alive=check_alive) def kill_log_monitor(self, check_alive=True): """Kill the log monitor. Args: check_alive (bool): Raise an exception if the process was already dead. """ self._kill_process_type( ray_constants.PROCESS_TYPE_LOG_MONITOR, check_alive=check_alive) def kill_reporter(self, check_alive=True): """Kill the reporter. Args: check_alive (bool): Raise an exception if the process was already dead. """ self._kill_process_type( ray_constants.PROCESS_TYPE_REPORTER, check_alive=check_alive) def kill_dashboard(self, check_alive=True): """Kill the dashboard. Args: check_alive (bool): Raise an exception if the process was already dead. """ self._kill_process_type( ray_constants.PROCESS_TYPE_DASHBOARD, check_alive=check_alive) def kill_monitor(self, check_alive=True): """Kill the monitor. Args: check_alive (bool): Raise an exception if the process was already dead. """ self._kill_process_type( ray_constants.PROCESS_TYPE_MONITOR, check_alive=check_alive) def kill_gcs_server(self, check_alive=True): """Kill the gcs server. Args: check_alive (bool): Raise an exception if the process was already dead. """ self._kill_process_type( ray_constants.PROCESS_TYPE_GCS_SERVER, check_alive=check_alive) def kill_reaper(self, check_alive=True): """Kill the reaper process. Args: check_alive (bool): Raise an exception if the process was already dead. """ self._kill_process_type( ray_constants.PROCESS_TYPE_REAPER, check_alive=check_alive) def kill_all_processes(self, check_alive=True, allow_graceful=False): """Kill all of the processes. Note that This is slower than necessary because it calls kill, wait, kill, wait, ... instead of kill, kill, ..., wait, wait, ... Args: check_alive (bool): Raise an exception if any of the processes were already dead. """ # Kill the raylet first. This is important for suppressing errors at # shutdown because we give the raylet a chance to exit gracefully and # clean up its child worker processes. If we were to kill the plasma # store (or Redis) first, that could cause the raylet to exit # ungracefully, leading to more verbose output from the workers. if ray_constants.PROCESS_TYPE_RAYLET in self.all_processes: self._kill_process_type( ray_constants.PROCESS_TYPE_RAYLET, check_alive=check_alive, allow_graceful=allow_graceful) if ray_constants.PROCESS_TYPE_GCS_SERVER in self.all_processes: self._kill_process_type( ray_constants.PROCESS_TYPE_GCS_SERVER, check_alive=check_alive, allow_graceful=allow_graceful) # We call "list" to copy the keys because we are modifying the # dictionary while iterating over it. for process_type in list(self.all_processes.keys()): # Need to kill the reaper process last in case we die unexpectedly # while cleaning up. if process_type != ray_constants.PROCESS_TYPE_REAPER: self._kill_process_type( process_type, check_alive=check_alive, allow_graceful=allow_graceful) if ray_constants.PROCESS_TYPE_REAPER in self.all_processes: self._kill_process_type( ray_constants.PROCESS_TYPE_REAPER, check_alive=check_alive, allow_graceful=allow_graceful) def live_processes(self): """Return a list of the live processes. Returns: A list of the live processes. """ result = [] for process_type, process_infos in self.all_processes.items(): for process_info in process_infos: if process_info.process.poll() is None: result.append((process_type, process_info.process)) return result def dead_processes(self): """Return a list of the dead processes. Note that this ignores processes that have been explicitly killed, e.g., via a command like node.kill_raylet(). Returns: A list of the dead processes ignoring the ones that have been explicitly killed. """ result = [] for process_type, process_infos in self.all_processes.items(): for process_info in process_infos: if process_info.process.poll() is not None: result.append((process_type, process_info.process)) return result def any_processes_alive(self): """Return true if any processes are still alive. Returns: True if any process is still alive. """ return any(self.live_processes()) def remaining_processes_alive(self): """Return true if all remaining processes are still alive. Note that this ignores processes that have been explicitly killed, e.g., via a command like node.kill_raylet(). Returns: True if any process that wasn't explicitly killed is still alive. """ return not any(self.dead_processes()) def destroy_external_storage(self): object_spilling_config = self._config.get("object_spilling_config", {}) if object_spilling_config: object_spilling_config = json.loads(object_spilling_config) from ray import external_storage storage = external_storage.setup_external_storage( object_spilling_config) storage.destroy_external_storage() def validate_external_storage(self): """Make sure we can setup the object spilling external storage. This will also fill up the default setting for object spilling if not specified. """ object_spilling_config = self._config.get("object_spilling_config", {}) automatic_spilling_enabled = self._config.get( "automatic_object_spilling_enabled", True) if not automatic_spilling_enabled: return # If the config is not specified, we fill up the default. if not object_spilling_config: object_spilling_config = json.dumps({ "type": "filesystem", "params": { "directory_path": self._session_dir } }) # Try setting up the storage. # Configure the proper system config. # We need to set both ray param's system config and self._config # because they could've been diverged at this point. deserialized_config = json.loads(object_spilling_config) self._ray_params._system_config["object_spilling_config"] = ( object_spilling_config) self._config["object_spilling_config"] = object_spilling_config is_external_storage_type_fs = ( deserialized_config["type"] == "filesystem") self._ray_params._system_config["is_external_storage_type_fs"] = ( is_external_storage_type_fs) self._config["is_external_storage_type_fs"] = ( is_external_storage_type_fs) # Validate external storage usage. from ray import external_storage external_storage.setup_external_storage(deserialized_config) external_storage.reset_external_storage()