643 lines
25 KiB
Python
643 lines
25 KiB
Python
import argparse
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import errno
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import glob
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import logging
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import logging.handlers
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import os
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import platform
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import re
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import shutil
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import sys
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import time
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import traceback
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from typing import Callable, List, Optional, Set
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import ray._private.ray_constants as ray_constants
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import ray._private.utils
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from ray._private import logging_utils
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from ray._private.ray_logging import setup_component_logger
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from ray._raylet import GcsClient
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# Logger for this module. It should be configured at the entry point
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# into the program using Ray. Ray provides a default configuration at
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# entry/init points.
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logger = logging.getLogger(__name__)
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# The groups are job id, and pid.
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WORKER_LOG_PATTERN = re.compile(r".*worker.*-([0-9a-f]+)-(\d+)")
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# The groups are job id.
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RUNTIME_ENV_SETUP_PATTERN = re.compile(r".*runtime_env_setup-(\d+).log")
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# Log name update interval under pressure.
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# We need it because log name update is CPU intensive and uses 100%
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# of cpu when there are many log files.
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LOG_NAME_UPDATE_INTERVAL_S = float(os.getenv("LOG_NAME_UPDATE_INTERVAL_S", 0.5))
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# Once there are more files than this threshold,
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# log monitor start giving backpressure to lower cpu usages.
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RAY_LOG_MONITOR_MANY_FILES_THRESHOLD = int(
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os.getenv("RAY_LOG_MONITOR_MANY_FILES_THRESHOLD", 1000)
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)
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RAY_RUNTIME_ENV_LOG_TO_DRIVER_ENABLED = int(
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os.getenv("RAY_RUNTIME_ENV_LOG_TO_DRIVER_ENABLED", 0)
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)
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class LogFileInfo:
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def __init__(
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self,
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filename=None,
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size_when_last_opened=None,
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file_position=None,
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file_handle=None,
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is_err_file=False,
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job_id=None,
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worker_pid=None,
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):
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assert (
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filename is not None
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and size_when_last_opened is not None
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and file_position is not None
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)
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self.filename = filename
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self.size_when_last_opened = size_when_last_opened
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self.file_position = file_position
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self.file_handle = file_handle
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self.is_err_file = is_err_file
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self.job_id = job_id
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self.worker_pid = worker_pid
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self.actor_name = None
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self.task_name = None
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def reopen_if_necessary(self):
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"""Check if the file's inode has changed and reopen it if necessary.
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There are a variety of reasons what we would logically consider a file
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would have different inodes, such as log rotation or file syncing
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semantics.
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If the file is smaller than our recorded file position, we assume it has been
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rotated and start reading it from the beginning.
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"""
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try:
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open_inode = None
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if self.file_handle and not self.file_handle.closed:
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open_inode = os.fstat(self.file_handle.fileno()).st_ino
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new_statinfo = os.stat(self.filename)
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if new_statinfo.st_ino != open_inode:
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self.file_handle = open(self.filename, "rb")
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# If the new file is smaller than the last read position, assume that
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# the file has been rotated and read from the beginning. Else, continue
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# from the existing file position.
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if new_statinfo.st_size < self.file_position:
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self.file_position = 0
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self.file_handle.seek(self.file_position)
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self.size_when_last_opened = new_statinfo.st_size
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else:
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# Inode unchanged, but the file may have been truncated and
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# rewritten in place. Compare against both the last read
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# position and the last observed file size so we can detect
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# rewrites even when the new content grows beyond the old
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# position before the next poll.
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if new_statinfo.st_size < max(
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self.file_position, self.size_when_last_opened
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):
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reopened_file = open(self.filename, "rb")
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self.file_handle.close()
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self.file_handle = reopened_file
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self.file_position = 0
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self.size_when_last_opened = new_statinfo.st_size
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except Exception:
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logger.debug(f"file no longer exists, skip re-opening of {self.filename}")
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def __repr__(self):
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return (
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"FileInfo(\n"
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f"\tfilename: {self.filename}\n"
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f"\tsize_when_last_opened: {self.size_when_last_opened}\n"
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f"\tfile_position: {self.file_position}\n"
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f"\tfile_handle: {self.file_handle}\n"
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f"\tis_err_file: {self.is_err_file}\n"
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f"\tjob_id: {self.job_id}\n"
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f"\tworker_pid: {self.worker_pid}\n"
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f"\tactor_name: {self.actor_name}\n"
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f"\ttask_name: {self.task_name}\n"
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")"
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)
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class LogMonitor:
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"""A monitor process for monitoring Ray log files.
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This class maintains a list of open files and a list of closed log files. We
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can't simply leave all files open because we'll run out of file
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descriptors.
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The "run" method of this class will cycle between doing several things:
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1. First, it will check if any new files have appeared in the log
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directory. If so, they will be added to the list of closed files.
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2. Then, if we are unable to open any new files, we will close all of the
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files.
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3. Then, we will open as many closed files as we can that may have new
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lines (judged by an increase in file size since the last time the file
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was opened).
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4. Then we will loop through the open files and see if there are any new
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lines in the file. If so, we will publish them to Ray pubsub.
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Attributes:
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ip: The hostname of this machine, for grouping log messages.
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logs_dir: The directory that the log files are in.
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log_filenames: This is the set of filenames of all files in
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open_file_infos and closed_file_infos.
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open_file_infos (list[LogFileInfo]): Info for all of the open files.
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closed_file_infos (list[LogFileInfo]): Info for all of the closed
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files.
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can_open_more_files: True if we can still open more files and
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false otherwise.
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max_files_open: The maximum number of files that can be open.
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"""
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def __init__(
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self,
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node_ip_address: str,
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logs_dir: str,
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gcs_client: GcsClient,
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is_proc_alive_fn: Callable[[int], bool],
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max_files_open: int = ray_constants.LOG_MONITOR_MAX_OPEN_FILES,
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gcs_address: Optional[str] = None,
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):
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"""Initialize the log monitor object."""
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self.ip: str = node_ip_address
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self.logs_dir: str = logs_dir
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self.gcs_client = gcs_client
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self.log_filenames: Set[str] = set()
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self.open_file_infos: List[LogFileInfo] = []
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self.closed_file_infos: List[LogFileInfo] = []
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self.can_open_more_files: bool = True
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self.max_files_open: int = max_files_open
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self.is_proc_alive_fn: Callable[[int], bool] = is_proc_alive_fn
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self.is_autoscaler_v2: bool = self.get_is_autoscaler_v2(gcs_address)
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logger.info(
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f"Starting log monitor with [max open files={max_files_open}],"
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f" [is_autoscaler_v2={self.is_autoscaler_v2}]"
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)
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def get_is_autoscaler_v2(self, gcs_address: Optional[str]) -> bool:
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"""Check if autoscaler v2 is enabled."""
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if gcs_address is None:
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return False
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if not ray.experimental.internal_kv._internal_kv_initialized():
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ray.experimental.internal_kv._initialize_internal_kv(self.gcs_client)
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from ray.autoscaler.v2.utils import is_autoscaler_v2
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return is_autoscaler_v2()
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def _close_all_files(self):
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"""Close all open files (so that we can open more)."""
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while len(self.open_file_infos) > 0:
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file_info = self.open_file_infos.pop(0)
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file_info.file_handle.close()
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file_info.file_handle = None
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proc_alive = True
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# Test if the worker process that generated the log file
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# is still alive. Only applies to worker processes.
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# For all other system components, we always assume they are alive.
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if (
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file_info.worker_pid != "raylet"
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and file_info.worker_pid != "gcs_server"
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and file_info.worker_pid != "autoscaler"
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and file_info.worker_pid != "runtime_env"
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and file_info.worker_pid is not None
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):
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assert not isinstance(file_info.worker_pid, str), (
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"PID should be an int type. " f"Given PID: {file_info.worker_pid}."
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)
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proc_alive = self.is_proc_alive_fn(file_info.worker_pid)
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if not proc_alive:
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# The process is not alive any more, so move the log file
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# out of the log directory so glob.glob will not be slowed
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# by it.
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target = os.path.join(
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self.logs_dir, "old", os.path.basename(file_info.filename)
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)
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try:
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shutil.move(file_info.filename, target)
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except (IOError, OSError) as e:
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if e.errno == errno.ENOENT:
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logger.warning(
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f"Warning: The file {file_info.filename} was not found."
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)
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else:
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raise e
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if proc_alive:
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self.closed_file_infos.append(file_info)
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self.can_open_more_files = True
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def update_log_filenames(self):
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"""Update the list of log files to monitor."""
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monitor_log_paths = []
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# output of user code is written here
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monitor_log_paths += glob.glob(
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f"{self.logs_dir}/worker*[.out|.err]"
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) + glob.glob(f"{self.logs_dir}/java-worker*.log")
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# segfaults and other serious errors are logged here
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monitor_log_paths += glob.glob(f"{self.logs_dir}/raylet*.err")
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# monitor logs are needed to report autoscaler events
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# TODO(rickyx): remove this after migration.
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if not self.is_autoscaler_v2:
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# We publish monitor logs in autoscaler v1
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monitor_log_paths += glob.glob(f"{self.logs_dir}/monitor.log")
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else:
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# We publish autoscaler events directly in autoscaler v2
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monitor_log_paths += glob.glob(
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f"{self.logs_dir}/events/event_AUTOSCALER.log"
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)
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# If gcs server restarts, there can be multiple log files.
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monitor_log_paths += glob.glob(f"{self.logs_dir}/gcs_server*.err")
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# Add libtpu logs if they exist in the Ray container.
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tpu_log_dir = f"{self.logs_dir}/tpu_logs"
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if os.path.isdir(tpu_log_dir):
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monitor_log_paths += glob.glob(f"{self.logs_dir}/tpu_logs/**")
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# runtime_env setup process is logged here
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if RAY_RUNTIME_ENV_LOG_TO_DRIVER_ENABLED:
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monitor_log_paths += glob.glob(f"{self.logs_dir}/runtime_env*.log")
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for file_path in monitor_log_paths:
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if os.path.isfile(file_path) and file_path not in self.log_filenames:
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worker_match = WORKER_LOG_PATTERN.match(file_path)
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if worker_match:
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worker_pid = int(worker_match.group(2))
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else:
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worker_pid = None
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job_id = None
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# Perform existence check first because most file will not be
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# including runtime_env. This saves some cpu cycle.
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if "runtime_env" in file_path:
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runtime_env_job_match = RUNTIME_ENV_SETUP_PATTERN.match(file_path)
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if runtime_env_job_match:
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job_id = runtime_env_job_match.group(1)
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is_err_file = file_path.endswith("err")
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self.log_filenames.add(file_path)
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self.closed_file_infos.append(
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LogFileInfo(
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filename=file_path,
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size_when_last_opened=0,
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file_position=0,
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file_handle=None,
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is_err_file=is_err_file,
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job_id=job_id,
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worker_pid=worker_pid,
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)
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)
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log_filename = os.path.basename(file_path)
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logger.info(f"Beginning to track file {log_filename}")
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def open_closed_files(self):
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"""Open some closed files if they may have new lines.
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Opening more files may require us to close some of the already open
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files.
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"""
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if not self.can_open_more_files:
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# If we can't open any more files. Close all of the files.
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self._close_all_files()
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files_with_no_updates = []
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while len(self.closed_file_infos) > 0:
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if len(self.open_file_infos) >= self.max_files_open:
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self.can_open_more_files = False
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break
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file_info = self.closed_file_infos.pop(0)
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assert file_info.file_handle is None
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# Get the file size to see if it has gotten bigger since we last
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# opened it.
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try:
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file_size = os.path.getsize(file_info.filename)
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except (IOError, OSError) as e:
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# Catch "file not found" errors.
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if e.errno == errno.ENOENT:
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logger.warning(
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f"Warning: The file {file_info.filename} was not found."
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)
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self.log_filenames.remove(file_info.filename)
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continue
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raise e
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# If some new lines have been added to this file, try to reopen the
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# file.
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if file_size > file_info.size_when_last_opened:
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try:
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f = open(file_info.filename, "rb")
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except (IOError, OSError) as e:
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if e.errno == errno.ENOENT:
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logger.warning(
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f"Warning: The file {file_info.filename} was not found."
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)
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self.log_filenames.remove(file_info.filename)
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continue
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else:
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raise e
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f.seek(file_info.file_position)
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file_info.size_when_last_opened = file_size
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file_info.file_handle = f
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self.open_file_infos.append(file_info)
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else:
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files_with_no_updates.append(file_info)
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if len(self.open_file_infos) >= self.max_files_open:
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self.can_open_more_files = False
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# Add the files with no changes back to the list of closed files.
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self.closed_file_infos += files_with_no_updates
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def check_log_files_and_publish_updates(self):
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"""Gets updates to the log files and publishes them.
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Returns:
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True if anything was published and false otherwise.
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"""
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anything_published = False
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lines_to_publish = []
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def flush():
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nonlocal lines_to_publish
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nonlocal anything_published
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if len(lines_to_publish) > 0:
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data = {
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"ip": self.ip,
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"pid": file_info.worker_pid,
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"job": file_info.job_id,
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"is_err": file_info.is_err_file,
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"lines": lines_to_publish,
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"actor_name": file_info.actor_name,
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"task_name": file_info.task_name,
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}
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try:
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self.gcs_client.publish_logs(data)
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except Exception:
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logger.exception(f"Failed to publish log messages {data}")
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anything_published = True
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lines_to_publish = []
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for file_info in self.open_file_infos:
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assert not file_info.file_handle.closed
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file_info.reopen_if_necessary()
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max_num_lines_to_read = ray_constants.LOG_MONITOR_NUM_LINES_TO_READ
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for _ in range(max_num_lines_to_read):
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try:
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next_line = file_info.file_handle.readline()
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# Replace any characters not in UTF-8 with
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# a replacement character, see
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# https://stackoverflow.com/a/38565489/10891801
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next_line = next_line.decode("utf-8", "replace")
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if next_line == "":
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break
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next_line = next_line.rstrip("\r\n")
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if next_line.startswith(ray_constants.LOG_PREFIX_ACTOR_NAME):
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flush() # Possible change of task/actor name.
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file_info.actor_name = next_line.split(
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ray_constants.LOG_PREFIX_ACTOR_NAME, 1
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)[1]
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file_info.task_name = None
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elif next_line.startswith(ray_constants.LOG_PREFIX_TASK_NAME):
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flush() # Possible change of task/actor name.
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file_info.task_name = next_line.split(
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ray_constants.LOG_PREFIX_TASK_NAME, 1
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)[1]
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elif next_line.startswith(ray_constants.LOG_PREFIX_JOB_ID):
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file_info.job_id = next_line.split(
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ray_constants.LOG_PREFIX_JOB_ID, 1
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)[1]
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elif next_line.startswith(
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"Windows fatal exception: access violation"
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):
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# We are suppressing the
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# 'Windows fatal exception: access violation'
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# message on workers on Windows here.
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# As far as we know it is harmless,
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# but is frequently popping up if Python
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# functions are run inside the core
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# worker C extension. See the investigation in
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# github.com/ray-project/ray/issues/18944
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# Also skip the following line, which is an
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# empty line.
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file_info.file_handle.readline()
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else:
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lines_to_publish.append(next_line)
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except Exception:
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logger.error(
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f"Error: Reading file: {file_info.filename}, "
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f"position: {file_info.file_info.file_handle.tell()} "
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"failed."
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)
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raise
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if file_info.file_position == 0:
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# make filename windows-agnostic
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filename = file_info.filename.replace("\\", "/")
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if "/raylet" in filename:
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file_info.worker_pid = "raylet"
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elif "/gcs_server" in filename:
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file_info.worker_pid = "gcs_server"
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elif "/monitor" in filename or "event_AUTOSCALER" in filename:
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file_info.worker_pid = "autoscaler"
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elif "/runtime_env" in filename:
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file_info.worker_pid = "runtime_env"
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# Record the current position in the file.
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file_info.file_position = file_info.file_handle.tell()
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flush()
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return anything_published
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def should_update_filenames(self, last_file_updated_time: float) -> bool:
|
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"""Return true if filenames should be updated.
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|
|
This method is used to apply the backpressure on file updates because
|
|
that requires heavy glob operations which use lots of CPUs.
|
|
|
|
Args:
|
|
last_file_updated_time: The last time filenames are updated.
|
|
|
|
Returns:
|
|
True if filenames should be updated. False otherwise.
|
|
"""
|
|
elapsed_seconds = float(time.time() - last_file_updated_time)
|
|
return (
|
|
len(self.log_filenames) < RAY_LOG_MONITOR_MANY_FILES_THRESHOLD
|
|
or elapsed_seconds > LOG_NAME_UPDATE_INTERVAL_S
|
|
)
|
|
|
|
def run(self):
|
|
"""Run the log monitor.
|
|
|
|
This will scan the file system once every LOG_NAME_UPDATE_INTERVAL_S to
|
|
check if there are new log files to monitor. It will also publish new
|
|
log lines.
|
|
"""
|
|
last_updated = time.time()
|
|
while True:
|
|
if self.should_update_filenames(last_updated):
|
|
self.update_log_filenames()
|
|
last_updated = time.time()
|
|
|
|
self.open_closed_files()
|
|
anything_published = self.check_log_files_and_publish_updates()
|
|
# If nothing was published, then wait a little bit before checking
|
|
# for logs to avoid using too much CPU.
|
|
if not anything_published:
|
|
time.sleep(0.1)
|
|
|
|
|
|
def is_proc_alive(pid):
|
|
# Import locally to make sure the bundled version is used if needed
|
|
import psutil
|
|
|
|
try:
|
|
return psutil.Process(pid).is_running()
|
|
except psutil.NoSuchProcess:
|
|
# The process does not exist.
|
|
return False
|
|
|
|
|
|
if __name__ == "__main__":
|
|
parser = argparse.ArgumentParser(
|
|
description=("Parse GCS server address for the log monitor to connect to.")
|
|
)
|
|
parser.add_argument(
|
|
"--gcs-address", required=False, type=str, help="The address (ip:port) of GCS."
|
|
)
|
|
parser.add_argument(
|
|
"--node-ip-address",
|
|
required=False,
|
|
type=str,
|
|
help="The IP address of the node.",
|
|
)
|
|
parser.add_argument(
|
|
"--logging-level",
|
|
required=False,
|
|
type=str,
|
|
default=ray_constants.LOGGER_LEVEL,
|
|
choices=ray_constants.LOGGER_LEVEL_CHOICES,
|
|
help=ray_constants.LOGGER_LEVEL_HELP,
|
|
)
|
|
parser.add_argument(
|
|
"--logging-format",
|
|
required=False,
|
|
type=str,
|
|
default=ray_constants.LOGGER_FORMAT,
|
|
help=ray_constants.LOGGER_FORMAT_HELP,
|
|
)
|
|
parser.add_argument(
|
|
"--logging-filename",
|
|
required=False,
|
|
type=str,
|
|
default=ray_constants.LOG_MONITOR_LOG_FILE_NAME,
|
|
help="Specify the name of log file, "
|
|
"log to stderr if set empty, default is "
|
|
f'"{ray_constants.LOG_MONITOR_LOG_FILE_NAME}"',
|
|
)
|
|
parser.add_argument(
|
|
"--session-dir",
|
|
required=True,
|
|
type=str,
|
|
help="Specify the path of the session directory used by Ray processes.",
|
|
)
|
|
parser.add_argument(
|
|
"--logs-dir",
|
|
required=True,
|
|
type=str,
|
|
help="Specify the path of the log directory used by Ray processes.",
|
|
)
|
|
parser.add_argument(
|
|
"--logging-rotate-bytes",
|
|
required=True,
|
|
type=int,
|
|
help="Specify the max bytes for rotating log file.",
|
|
)
|
|
parser.add_argument(
|
|
"--logging-rotate-backup-count",
|
|
required=True,
|
|
type=int,
|
|
help="Specify the backup count of rotated log file.",
|
|
)
|
|
parser.add_argument(
|
|
"--stdout-filepath",
|
|
required=False,
|
|
default="",
|
|
type=str,
|
|
help="The filepath to dump log monitor stdout.",
|
|
)
|
|
parser.add_argument(
|
|
"--stderr-filepath",
|
|
required=False,
|
|
default="",
|
|
type=str,
|
|
help="The filepath to dump log monitor stderr.",
|
|
)
|
|
|
|
args = parser.parse_args()
|
|
|
|
# Disable log rotation for windows platform.
|
|
logging_rotation_bytes = args.logging_rotate_bytes if sys.platform != "win32" else 0
|
|
logging_rotation_backup_count = (
|
|
args.logging_rotate_backup_count if sys.platform != "win32" else 1
|
|
)
|
|
logging_params = dict(
|
|
logging_level=args.logging_level,
|
|
logging_format=args.logging_format,
|
|
log_dir=args.logs_dir,
|
|
filename=args.logging_filename,
|
|
max_bytes=logging_rotation_bytes,
|
|
backup_count=logging_rotation_backup_count,
|
|
)
|
|
logger = setup_component_logger(**logging_params)
|
|
|
|
# Setup stdout/stderr redirect files if redirection enabled
|
|
logging_utils.redirect_stdout_stderr_if_needed(
|
|
args.stdout_filepath,
|
|
args.stderr_filepath,
|
|
logging_rotation_bytes,
|
|
logging_rotation_backup_count,
|
|
)
|
|
|
|
gcs_client = GcsClient(address=args.gcs_address)
|
|
log_monitor = LogMonitor(
|
|
args.node_ip_address,
|
|
args.logs_dir,
|
|
gcs_client,
|
|
is_proc_alive,
|
|
gcs_address=args.gcs_address,
|
|
)
|
|
|
|
try:
|
|
log_monitor.run()
|
|
except Exception as e:
|
|
# Something went wrong, so push an error to all drivers.
|
|
traceback_str = ray._private.utils.format_error_message(traceback.format_exc())
|
|
message = (
|
|
f"The log monitor on node {platform.node()} "
|
|
f"failed with the following error:\n{traceback_str}"
|
|
)
|
|
ray._private.utils.publish_error_to_driver(
|
|
ray_constants.LOG_MONITOR_DIED_ERROR,
|
|
message,
|
|
gcs_client=gcs_client,
|
|
)
|
|
logger.error(message)
|
|
raise e
|