コード例 #1
0
    def reset(self, errors_fatal=False):
        sync_continuously = False
        if hasattr(self, "config"):
            sync_continuously = self.config.get(
                "file_mounts_sync_continuously", False)
        try:
            with open(self.config_path) as f:
                new_config = yaml.safe_load(f.read())
            if new_config != getattr(self, "config", None):
                try:
                    validate_config(new_config)
                except Exception as e:
                    logger.debug(
                        "Cluster config validation failed. The version of "
                        "the ray CLI you launched this cluster with may "
                        "be higher than the version of ray being run on "
                        "the cluster. Some new features may not be "
                        "available until you upgrade ray on your cluster.",
                        exc_info=e)
            (new_runtime_hash,
             new_file_mounts_contents_hash) = hash_runtime_conf(
                 new_config["file_mounts"],
                 new_config["cluster_synced_files"],
                 [
                     new_config["worker_setup_commands"],
                     new_config["worker_start_ray_commands"],
                 ],
                 generate_file_mounts_contents_hash=sync_continuously,
             )
            self.config = new_config
            self.runtime_hash = new_runtime_hash
            self.file_mounts_contents_hash = new_file_mounts_contents_hash
            if not self.provider:
                self.provider = _get_node_provider(self.config["provider"],
                                                   self.config["cluster_name"])
            # Check whether we can enable the resource demand scheduler.
            if "available_node_types" in self.config:
                self.available_node_types = self.config["available_node_types"]
                self.resource_demand_scheduler = ResourceDemandScheduler(
                    self.provider, self.available_node_types,
                    self.config["max_workers"])
            else:
                self.available_node_types = None
                self.resource_demand_scheduler = None

        except Exception as e:
            if errors_fatal:
                raise e
            else:
                logger.exception("StandardAutoscaler: "
                                 "Error parsing config.")
コード例 #2
0
    def reset(self, errors_fatal=False):
        sync_continuously = False
        if hasattr(self, "config"):
            sync_continuously = self.config.get(
                "file_mounts_sync_continuously", False)
        try:
            with open(self.config_path) as f:
                new_config = yaml.safe_load(f.read())
            validate_config(new_config)
            (new_runtime_hash,
             new_file_mounts_contents_hash) = hash_runtime_conf(
                 new_config["file_mounts"],
                 new_config["cluster_synced_files"],
                 [
                     new_config["worker_setup_commands"],
                     new_config["worker_start_ray_commands"],
                 ],
                 generate_file_mounts_contents_hash=sync_continuously,
             )
            self.config = new_config
            self.runtime_hash = new_runtime_hash
            self.file_mounts_contents_hash = new_file_mounts_contents_hash
            if not self.provider:
                self.provider = _get_node_provider(self.config["provider"],
                                                   self.config["cluster_name"])
            # Check whether we can enable the resource demand scheduler.
            if "available_node_types" in self.config:
                self.available_node_types = self.config["available_node_types"]
                self.resource_demand_scheduler = ResourceDemandScheduler(
                    self.provider, self.available_node_types,
                    self.config["max_workers"])
            else:
                self.available_node_types = None
                self.resource_demand_scheduler = None

        except Exception as e:
            if errors_fatal:
                raise e
            else:
                logger.exception("StandardAutoscaler: "
                                 "Error parsing config.")
コード例 #3
0
ファイル: autoscaler.py プロジェクト: zhe-thoughts/ray
    def reset(self, errors_fatal=False):
        sync_continuously = False
        if hasattr(self, "config"):
            sync_continuously = self.config.get(
                "file_mounts_sync_continuously", False)
        try:
            with open(self.config_path) as f:
                new_config = yaml.safe_load(f.read())
            if new_config != getattr(self, "config", None):
                try:
                    validate_config(new_config)
                except Exception as e:
                    logger.debug(
                        "Cluster config validation failed. The version of "
                        "the ray CLI you launched this cluster with may "
                        "be higher than the version of ray being run on "
                        "the cluster. Some new features may not be "
                        "available until you upgrade ray on your cluster.",
                        exc_info=e)
            (new_runtime_hash,
             new_file_mounts_contents_hash) = hash_runtime_conf(
                 new_config["file_mounts"],
                 new_config["cluster_synced_files"],
                 [
                     new_config["worker_setup_commands"],
                     new_config["worker_start_ray_commands"],
                 ],
                 generate_file_mounts_contents_hash=sync_continuously,
             )
            self.config = new_config
            self.runtime_hash = new_runtime_hash
            self.file_mounts_contents_hash = new_file_mounts_contents_hash
            if not self.provider:
                self.provider = _get_node_provider(self.config["provider"],
                                                   self.config["cluster_name"])

            self.available_node_types = self.config["available_node_types"]
            upscaling_speed = self.config.get("upscaling_speed")
            aggressive = self.config.get("autoscaling_mode") == "aggressive"
            target_utilization_fraction = self.config.get(
                "target_utilization_fraction")
            if upscaling_speed:
                upscaling_speed = float(upscaling_speed)
            # TODO(ameer): consider adding (if users ask) an option of
            # initial_upscaling_num_workers.
            elif aggressive:
                upscaling_speed = 99999
                logger.warning(
                    "Legacy aggressive autoscaling mode "
                    "detected. Replacing it by setting upscaling_speed to "
                    "99999.")
            elif target_utilization_fraction:
                upscaling_speed = (
                    1 / max(target_utilization_fraction, 0.001) - 1)
                logger.warning(
                    "Legacy target_utilization_fraction config "
                    "detected. Replacing it by setting upscaling_speed to " +
                    "1 / target_utilization_fraction - 1.")
            else:
                upscaling_speed = 1.0
            if self.resource_demand_scheduler:
                # The node types are autofilled internally for legacy yamls,
                # overwriting the class will remove the inferred node resources
                # for legacy yamls.
                self.resource_demand_scheduler.reset_config(
                    self.provider, self.available_node_types,
                    self.config["max_workers"], self.config["head_node_type"],
                    upscaling_speed)
            else:
                self.resource_demand_scheduler = ResourceDemandScheduler(
                    self.provider, self.available_node_types,
                    self.config["max_workers"], self.config["head_node_type"],
                    upscaling_speed)

        except Exception as e:
            if errors_fatal:
                raise e
            else:
                logger.exception("StandardAutoscaler: "
                                 "Error parsing config.")
コード例 #4
0
ファイル: commands.py プロジェクト: zzmcdc/ray
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)
    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(POLL_INTERVAL)
                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

            remote_config = provider.prepare_for_head_node(remote_config)

            # 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_latest/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 {}{} {}"), config_file,
                             modifiers, quote(monitor_str))

            cli_logger.print("Connect to a terminal on the cluster head:")
            cli_logger.print(cf.bold("  ray attach {}{}"), config_file,
                             modifiers)

            remote_shell_str = updater.cmd_runner.remote_shell_command_str()
            cli_logger.print("Get a remote shell to the cluster manually:")
            cli_logger.print("  {}", remote_shell_str.strip())
    finally:
        provider.cleanup()
コード例 #5
0
ファイル: commands.py プロジェクト: yiransii/ray
def get_or_create_head_node(config: Dict[str, Any],
                            printable_config_file: str,
                            no_restart: bool,
                            restart_only: bool,
                            yes: bool,
                            override_cluster_name: Optional[str],
                            no_monitor_on_head: bool = False,
                            _provider: Optional[NodeProvider] = None,
                            _runner: ModuleType = subprocess) -> None:
    """Create the cluster head node, which in turn creates the workers."""
    global_event_system.execute_callback(
        CreateClusterEvent.cluster_booting_started)
    provider = (_provider or _get_node_provider(config["provider"],
                                                config["cluster_name"]))

    config = copy.deepcopy(config)
    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)

    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"])
    head_node_resources = None
    if "head_node_type" in config:
        head_node_type = config["head_node_type"]
        head_node_tags[TAG_RAY_USER_NODE_TYPE] = head_node_type
        head_config = config["available_node_types"][head_node_type]
        head_node_config.update(head_config["node_config"])

        # Not necessary to keep in sync with node_launcher.py
        # Keep in sync with autoscaler.py _node_resources
        head_node_resources = head_config.get("resources")

    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"):
            global_event_system.execute_callback(
                CreateClusterEvent.acquiring_new_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)

                provider.terminate_node(head_node)
                cli_logger.print("Terminated head node {}", head_node)

            head_node_tags[TAG_RAY_LAUNCH_CONFIG] = launch_hash
            head_node_tags[TAG_RAY_NODE_NAME] = "ray-{}-head".format(
                config["cluster_name"])
            head_node_tags[TAG_RAY_NODE_STATUS] = STATUS_UNINITIALIZED
            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.group("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(POLL_INTERVAL)
            cli_logger.newline()

    global_event_system.execute_callback(CreateClusterEvent.head_node_acquired)

    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)

        if not no_monitor_on_head:
            # Return remote_config_file to avoid prematurely closing it.
            config, remote_config_file = _set_up_config_for_head_node(
                config, provider, no_restart)
            cli_logger.print("Prepared bootstrap config")

        if restart_only:
            # Docker may re-launch nodes, requiring setup
            # commands to be rerun.
            if config.get("docker", {}).get("container_name"):
                setup_commands = config["head_setup_commands"]
            else:
                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,
                                         no_monitor_on_head)

        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,
            node_resources=head_node_resources,
            rsync_options={
                "rsync_exclude": config.get("rsync_exclude"),
                "rsync_filter": config.get("rsync_filter")
            },
            docker_config=config.get("docker"),
            restart_only=restart_only)
        updater.start()
        updater.join()

        # Refresh the node cache so we see the external ip if available
        provider.non_terminated_nodes(head_node_tags)

        if updater.exitcode != 0:
            # todo: this does not follow the mockup and is not good enough
            cli_logger.abort("Failed to setup head node.")
            sys.exit(1)

    global_event_system.execute_callback(
        CreateClusterEvent.cluster_booting_completed, {
            "head_node_id": head_node,
        })

    monitor_str = "tail -n 100 -f /tmp/ray/session_latest/logs/monitor*"
    if override_cluster_name:
        modifiers = " --cluster-name={}".format(quote(override_cluster_name))
    else:
        modifiers = ""

    cli_logger.newline()
    with cli_logger.group("Useful commands"):
        printable_config_file = os.path.abspath(printable_config_file)
        cli_logger.print("Monitor autoscaling with")
        cli_logger.print(
            cf.bold("  ray exec {}{} {}"), printable_config_file, modifiers,
            quote(monitor_str))

        cli_logger.print("Connect to a terminal on the cluster head:")
        cli_logger.print(
            cf.bold("  ray attach {}{}"), printable_config_file, modifiers)

        remote_shell_str = updater.cmd_runner.remote_shell_command_str()
        cli_logger.print("Get a remote shell to the cluster manually:")
        cli_logger.print("  {}", remote_shell_str.strip())