wehub-resource-sync
677 lines
25 KiB
Python
677 lines
25 KiB
Python
import abc
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import logging
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import os
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import random
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import shutil
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import time
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import urllib
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import uuid
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from collections import namedtuple
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from typing import IO, List, Optional, Tuple, Union
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import ray
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from ray._private.ray_constants import DEFAULT_OBJECT_PREFIX
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from ray._raylet import ObjectRef
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ParsedURL = namedtuple("ParsedURL", "base_url, offset, size")
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logger = logging.getLogger(__name__)
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def create_url_with_offset(*, url: str, offset: int, size: int) -> str:
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"""Methods to create a URL with offset.
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When ray spills objects, it fuses multiple objects
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into one file to optimize the performance. That says, each object
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needs to keep tracking of its own special url to store metadata.
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This method creates an url_with_offset, which is used internally
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by Ray.
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Created url_with_offset can be passed to the self._get_base_url method
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to parse the filename used to store files.
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Example) file://path/to/file?offset=""&size=""
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Args:
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url: url to the object stored in the external storage.
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offset: Offset from the beginning of the file to
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the first bytes of this object.
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size: Size of the object that is stored in the url.
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It is used to calculate the last offset.
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Returns:
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url_with_offset stored internally to find
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objects from external storage.
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"""
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return f"{url}?offset={offset}&size={size}"
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def parse_url_with_offset(url_with_offset: str) -> Tuple[str, int, int]:
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"""Parse url_with_offset to retrieve information.
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base_url is the url where the object ref
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is stored in the external storage.
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Args:
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url_with_offset: url created by create_url_with_offset.
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Returns:
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named tuple of base_url, offset, and size.
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"""
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parsed_result = urllib.parse.urlparse(url_with_offset)
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query_dict = urllib.parse.parse_qs(parsed_result.query)
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# Split by ? to remove the query from the url.
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base_url = parsed_result.geturl().split("?")[0]
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if "offset" not in query_dict or "size" not in query_dict:
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raise ValueError(f"Failed to parse URL: {url_with_offset}")
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offset = int(query_dict["offset"][0])
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size = int(query_dict["size"][0])
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return ParsedURL(base_url=base_url, offset=offset, size=size)
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class ExternalStorage(metaclass=abc.ABCMeta):
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"""The base class for external storage.
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This class provides some useful functions for zero-copy object
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put/get from plasma store. Also it specifies the interface for
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object spilling.
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When inheriting this class, please make sure to implement validation
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logic inside __init__ method. When ray instance starts, it will
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instantiating external storage to validate the config.
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"""
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HEADER_LENGTH = 24
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CORE_WORKER_INIT_GRACE_PERIOD_S = 1
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def __init__(self):
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# NOTE(edoakes): do not access this field directly. Use the `core_worker`
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# property instead to handle initialization race conditions.
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self._core_worker: Optional["ray._raylet.CoreWorker"] = None
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@property
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def core_worker(self) -> "ray._raylet.CoreWorker":
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"""Get the core_worker initialized in this process.
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In rare cases, the core worker may not be fully initialized by the time an I/O
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worker begins to execute an operation because there is no explicit flag set to
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indicate that the Python layer is ready to execute tasks.
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"""
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if self._core_worker is None:
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worker = ray._private.worker.global_worker
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start = time.time()
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while not worker.connected:
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time.sleep(0.001)
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if time.time() - start > self.CORE_WORKER_INIT_GRACE_PERIOD_S:
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raise RuntimeError(
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"CoreWorker didn't initialize within grace period of "
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f"{self.CORE_WORKER_INIT_GRACE_PERIOD_S}s."
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)
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self._core_worker = worker.core_worker
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return self._core_worker
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def _get_objects_from_store(self, object_refs):
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# Since the object should always exist in the plasma store before
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# spilling, it can directly get the object from the local plasma
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# store.
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# issue: https://github.com/ray-project/ray/pull/13831
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return self.core_worker.get_if_local(object_refs)
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def _put_object_to_store(
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self, metadata, data_size, file_like, object_ref, owner_address
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):
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self.core_worker.put_file_like_object(
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metadata, data_size, file_like, object_ref, owner_address
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)
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def _write_multiple_objects(
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self, f: IO, object_refs: List[ObjectRef], owner_addresses: List[str], url: str
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) -> List[str]:
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"""Fuse all given objects into a given file handle.
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Args:
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f: File handle to fusion all given object refs.
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object_refs: Object references to fusion to a single file.
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owner_addresses: Owner addresses for the provided objects.
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url: url where the object ref is stored
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in the external storage.
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Returns:
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List of urls_with_offset of fused objects.
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The order of returned keys are equivalent to the one
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with given object_refs.
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Raises:
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ValueError: when given configuration for
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the external storage is invalid.
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"""
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keys = []
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offset = 0
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ray_object_pairs = self._get_objects_from_store(object_refs)
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for ref, (buf, metadata, _), owner_address in zip(
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object_refs, ray_object_pairs, owner_addresses
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):
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address_len = len(owner_address)
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metadata_len = len(metadata)
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if buf is None and len(metadata) == 0:
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error = f"Object {ref.hex()} does not exist."
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raise ValueError(error)
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buf_len = 0 if buf is None else len(buf)
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header = (
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address_len.to_bytes(8, byteorder="little")
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+ metadata_len.to_bytes(8, byteorder="little")
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+ buf_len.to_bytes(8, byteorder="little")
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+ owner_address
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+ metadata
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)
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# 24 bytes to store owner address, metadata, and buffer lengths.
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payload_len = self.HEADER_LENGTH + address_len + metadata_len + buf_len
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written_bytes = f.write(header)
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if buf_len:
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written_bytes += f.write(memoryview(buf))
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assert written_bytes == payload_len
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url_with_offset = create_url_with_offset(
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url=url, offset=offset, size=written_bytes
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)
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keys.append(url_with_offset.encode())
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offset += written_bytes
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# Necessary because pyarrow.io.NativeFile does not flush() on close().
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f.flush()
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return keys
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def _size_check(
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self,
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address_len: int,
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metadata_len: int,
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buffer_len: int,
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obtained_data_size: int,
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):
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"""Check whether or not the obtained_data_size is as expected.
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Args:
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address_len: Length of the address.
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metadata_len: Actual metadata length of the object.
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buffer_len: Actual buffer length of the object.
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obtained_data_size: Data size specified in the url_with_offset.
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Raises:
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ValueError: If obtained_data_size is different from
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address_len + metadata_len + buffer_len + 24 (first 8 bytes to store length).
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"""
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data_size_in_bytes = (
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address_len + metadata_len + buffer_len + self.HEADER_LENGTH
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)
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if data_size_in_bytes != obtained_data_size:
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raise ValueError(
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f"Obtained data has a size of {data_size_in_bytes}, "
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"although it is supposed to have the "
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f"size of {obtained_data_size}."
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)
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@abc.abstractmethod
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def spill_objects(
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self, object_refs: List[ObjectRef], owner_addresses: List[str]
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) -> List[str]:
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"""Spill objects to the external storage. Objects are specified
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by their object refs.
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Args:
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object_refs: The list of the refs of the objects to be spilled.
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owner_addresses: Owner addresses for the provided objects.
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Returns:
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A list of internal URLs with object offset.
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"""
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@abc.abstractmethod
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def restore_spilled_objects(
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self, object_refs: List[ObjectRef], url_with_offset_list: List[str]
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) -> int:
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"""Restore objects from the external storage.
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Args:
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object_refs: List of object IDs (note that it is not ref).
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url_with_offset_list: List of url_with_offset.
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Returns:
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The total number of bytes restored.
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"""
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@abc.abstractmethod
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def delete_spilled_objects(self, urls: List[str]):
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"""Delete objects that are spilled to the external storage.
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Args:
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urls: URLs that store spilled object files.
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NOTE: This function should not fail if some of the urls
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do not exist.
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"""
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@abc.abstractmethod
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def destroy_external_storage(self):
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"""Destroy external storage when a head node is down.
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NOTE: This is currently working when the cluster is
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started by ray.init
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"""
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class NullStorage(ExternalStorage):
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"""The class that represents an uninitialized external storage."""
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def spill_objects(self, object_refs, owner_addresses) -> List[str]:
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raise NotImplementedError("External storage is not initialized")
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def restore_spilled_objects(self, object_refs, url_with_offset_list):
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raise NotImplementedError("External storage is not initialized")
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def delete_spilled_objects(self, urls: List[str]):
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raise NotImplementedError("External storage is not initialized")
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def destroy_external_storage(self):
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raise NotImplementedError("External storage is not initialized")
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class FileSystemStorage(ExternalStorage):
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"""The class for filesystem-like external storage."""
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def __init__(
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self,
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node_id: str,
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directory_path: Union[str, List[str]],
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buffer_size: Optional[int] = None,
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):
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"""Initialize FileSystemStorage.
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Args:
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node_id: The ID of the node this storage is associated with.
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directory_path: A path or list of paths to spill objects to.
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buffer_size: File buffer size used for writes.
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Raises:
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ValueError: Raises directory path to spill objects doesn't exist.
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"""
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super().__init__()
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# -- A list of directory paths to spill objects --
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self._directory_paths = []
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# -- Current directory to spill objects --
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self._current_directory_index = 0
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# -- File buffer size to spill objects --
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self._buffer_size = -1
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# Validation.
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assert (
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directory_path is not None
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), "directory_path should be provided to use object spilling."
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if isinstance(directory_path, str):
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directory_path = [directory_path]
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assert isinstance(
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directory_path, list
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), "Directory_path must be either a single string or a list of strings"
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if buffer_size is not None:
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assert isinstance(buffer_size, int), "buffer_size must be an integer."
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self._buffer_size = buffer_size
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# Create directories.
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for path in directory_path:
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full_dir_path = os.path.join(path, f"{DEFAULT_OBJECT_PREFIX}_{node_id}")
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os.makedirs(full_dir_path, exist_ok=True)
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if not os.path.exists(full_dir_path):
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raise ValueError(
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"The given directory path to store objects, "
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f"{full_dir_path}, could not be created."
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)
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self._directory_paths.append(full_dir_path)
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assert len(self._directory_paths) == len(directory_path)
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# Choose the current directory.
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# It chooses a random index to maximize multiple directories that are
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# mounted at different point.
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self._current_directory_index = random.randrange(0, len(self._directory_paths))
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def spill_objects(self, object_refs, owner_addresses) -> List[str]:
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if len(object_refs) == 0:
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return []
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# Choose the current directory path by round robin order.
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self._current_directory_index = (self._current_directory_index + 1) % len(
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self._directory_paths
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)
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directory_path = self._directory_paths[self._current_directory_index]
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filename = _get_unique_spill_filename(object_refs)
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url = f"{os.path.join(directory_path, filename)}"
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with open(url, "wb", buffering=self._buffer_size) as f:
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return self._write_multiple_objects(f, object_refs, owner_addresses, url)
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def restore_spilled_objects(
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self, object_refs: List[ObjectRef], url_with_offset_list: List[str]
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):
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total = 0
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for i in range(len(object_refs)):
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object_ref = object_refs[i]
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url_with_offset = url_with_offset_list[i].decode()
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# Retrieve the information needed.
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parsed_result = parse_url_with_offset(url_with_offset)
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base_url = parsed_result.base_url
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offset = parsed_result.offset
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# Read a part of the file and recover the object.
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with open(base_url, "rb") as f:
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f.seek(offset)
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address_len = int.from_bytes(f.read(8), byteorder="little")
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metadata_len = int.from_bytes(f.read(8), byteorder="little")
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buf_len = int.from_bytes(f.read(8), byteorder="little")
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self._size_check(address_len, metadata_len, buf_len, parsed_result.size)
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total += buf_len
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owner_address = f.read(address_len)
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metadata = f.read(metadata_len)
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# read remaining data to our buffer
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self._put_object_to_store(
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metadata, buf_len, f, object_ref, owner_address
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)
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return total
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def delete_spilled_objects(self, urls: List[str]):
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for url in urls:
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path = parse_url_with_offset(url.decode()).base_url
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try:
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os.remove(path)
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except FileNotFoundError:
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# Occurs when the urls are retried during worker crash/failure.
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pass
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def destroy_external_storage(self):
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for directory_path in self._directory_paths:
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self._destroy_external_storage(directory_path)
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def _destroy_external_storage(self, directory_path):
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# There's a race condition where IO workers are still
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# deleting each objects while we try deleting the
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# whole directory. So we should keep trying it until
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# The directory is actually deleted.
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while os.path.isdir(directory_path):
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try:
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shutil.rmtree(directory_path)
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except (FileNotFoundError):
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# If exception occurs when other IO workers are
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# deleting the file at the same time.
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pass
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except Exception:
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logger.exception(
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"Error cleaning up spill files. "
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"You might still have remaining spilled "
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"objects inside `ray_spilled_objects` directory."
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)
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break
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class ExternalStorageSmartOpenImpl(ExternalStorage):
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"""The external storage class implemented by smart_open.
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(https://github.com/RaRe-Technologies/smart_open)
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Smart open supports multiple backend with the same APIs.
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To use this implementation, you should pre-create the given uri.
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For example, if your uri is a local file path, you should pre-create
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the directory.
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"""
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def __init__(
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self,
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node_id: str,
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uri: Union[str, list],
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override_transport_params: dict = None,
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buffer_size: int = 1024
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* 1024, # For remote spilling, at least 1MB is recommended.
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):
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"""Initialize ExternalStorageSmartOpenImpl.
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Args:
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node_id: The ID of the node this storage is associated with.
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uri: Storage URI used for smart open.
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override_transport_params: Overriding the default value of
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transport_params for smart-open library.
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buffer_size: File buffer size used for writes.
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Raises:
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ModuleNotFoundError: If it fails to setup. For example, if smart
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open library is not downloaded, this will fail.
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"""
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super().__init__()
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try:
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from smart_open import open # noqa
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except ModuleNotFoundError as e:
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raise ModuleNotFoundError(
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"Smart open is chosen to be a object spilling "
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"external storage, but smart_open and boto3 "
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f"is not downloaded. Original error: {e}"
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)
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# Validation
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assert uri is not None, "uri should be provided to use object spilling."
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if isinstance(uri, str):
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uri = [uri]
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assert isinstance(uri, list), "uri must be a single string or list of strings."
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assert isinstance(buffer_size, int), "buffer_size must be an integer."
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uri_is_s3 = [u.startswith("s3://") for u in uri]
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self.is_for_s3 = all(uri_is_s3)
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if not self.is_for_s3:
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assert not any(uri_is_s3), "all uri's must be s3 or none can be s3."
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self._uris = uri
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else:
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self._uris = [u.strip("/") for u in uri]
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assert len(self._uris) == len(uri)
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self._current_uri_index = random.randrange(0, len(self._uris))
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self.prefix = f"{DEFAULT_OBJECT_PREFIX}_{node_id}"
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self.override_transport_params = override_transport_params or {}
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if self.is_for_s3:
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import boto3 # noqa
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# Setup boto3. It is essential because if we don't create boto
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# session, smart_open will create a new session for every
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# open call.
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self.s3 = boto3.resource(service_name="s3")
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# smart_open always seek to 0 if we don't set this argument.
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# This will lead us to call a Object.get when it is not necessary,
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# so defer seek and call seek before reading objects instead.
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self.transport_params = {
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"defer_seek": True,
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"resource": self.s3,
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"buffer_size": buffer_size,
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}
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else:
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self.transport_params = {}
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self.transport_params.update(self.override_transport_params)
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def spill_objects(self, object_refs, owner_addresses) -> List[str]:
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if len(object_refs) == 0:
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return []
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from smart_open import open
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# Choose the current uri by round robin order.
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self._current_uri_index = (self._current_uri_index + 1) % len(self._uris)
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uri = self._uris[self._current_uri_index]
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key = f"{self.prefix}-{_get_unique_spill_filename(object_refs)}"
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url = f"{uri}/{key}"
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with open(
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url,
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mode="wb",
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transport_params=self.transport_params,
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) as file_like:
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return self._write_multiple_objects(
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file_like, object_refs, owner_addresses, url
|
|
)
|
|
|
|
def restore_spilled_objects(
|
|
self, object_refs: List[ObjectRef], url_with_offset_list: List[str]
|
|
):
|
|
from smart_open import open
|
|
|
|
total = 0
|
|
for i in range(len(object_refs)):
|
|
object_ref = object_refs[i]
|
|
url_with_offset = url_with_offset_list[i].decode()
|
|
|
|
# Retrieve the information needed.
|
|
parsed_result = parse_url_with_offset(url_with_offset)
|
|
base_url = parsed_result.base_url
|
|
offset = parsed_result.offset
|
|
|
|
with open(base_url, "rb", transport_params=self.transport_params) as f:
|
|
# smart open seek reads the file from offset-end_of_the_file
|
|
# when the seek is called.
|
|
f.seek(offset)
|
|
address_len = int.from_bytes(f.read(8), byteorder="little")
|
|
metadata_len = int.from_bytes(f.read(8), byteorder="little")
|
|
buf_len = int.from_bytes(f.read(8), byteorder="little")
|
|
self._size_check(address_len, metadata_len, buf_len, parsed_result.size)
|
|
owner_address = f.read(address_len)
|
|
total += buf_len
|
|
metadata = f.read(metadata_len)
|
|
# read remaining data to our buffer
|
|
self._put_object_to_store(
|
|
metadata, buf_len, f, object_ref, owner_address
|
|
)
|
|
return total
|
|
|
|
def delete_spilled_objects(self, urls: List[str]):
|
|
pass
|
|
|
|
def destroy_external_storage(self):
|
|
pass
|
|
|
|
|
|
_external_storage = NullStorage()
|
|
|
|
|
|
class UnstableFileStorage(FileSystemStorage):
|
|
"""This class is for testing with writing failure."""
|
|
|
|
def __init__(self, node_id: str, **kwargs):
|
|
super().__init__(node_id, **kwargs)
|
|
self._failure_rate = 0.1
|
|
self._partial_failure_ratio = 0.2
|
|
|
|
def spill_objects(self, object_refs, owner_addresses) -> List[str]:
|
|
r = random.random() < self._failure_rate
|
|
failed = r < self._failure_rate
|
|
partial_failed = r < self._partial_failure_ratio
|
|
if failed:
|
|
raise IOError("Spilling object failed intentionally for testing.")
|
|
elif partial_failed:
|
|
i = random.choice(range(len(object_refs)))
|
|
return super().spill_objects(object_refs[:i], owner_addresses)
|
|
else:
|
|
return super().spill_objects(object_refs, owner_addresses)
|
|
|
|
|
|
class SlowFileStorage(FileSystemStorage):
|
|
"""This class is for testing slow object spilling."""
|
|
|
|
def __init__(self, node_id: str, **kwargs):
|
|
super().__init__(node_id, **kwargs)
|
|
self._min_delay = 1
|
|
self._max_delay = 2
|
|
|
|
def spill_objects(self, object_refs, owner_addresses) -> List[str]:
|
|
delay = random.random() * (self._max_delay - self._min_delay) + self._min_delay
|
|
time.sleep(delay)
|
|
return super().spill_objects(object_refs, owner_addresses)
|
|
|
|
|
|
def setup_external_storage(config, node_id, session_name):
|
|
"""Setup the external storage according to the config."""
|
|
assert node_id is not None, "node_id should be provided."
|
|
global _external_storage
|
|
if config:
|
|
storage_type = config["type"]
|
|
if storage_type == "filesystem":
|
|
_external_storage = FileSystemStorage(node_id, **config["params"])
|
|
elif storage_type == "smart_open":
|
|
_external_storage = ExternalStorageSmartOpenImpl(
|
|
node_id, **config["params"]
|
|
)
|
|
elif storage_type == "mock_distributed_fs":
|
|
# This storage is used to unit test distributed external storages.
|
|
# TODO(sang): Delete it after introducing the mock S3 test.
|
|
_external_storage = FileSystemStorage(node_id, **config["params"])
|
|
elif storage_type == "unstable_fs":
|
|
# This storage is used to unit test unstable file system for fault
|
|
# tolerance.
|
|
_external_storage = UnstableFileStorage(node_id, **config["params"])
|
|
elif storage_type == "slow_fs":
|
|
# This storage is used to unit test slow filesystems.
|
|
_external_storage = SlowFileStorage(node_id, **config["params"])
|
|
else:
|
|
raise ValueError(f"Unknown external storage type: {storage_type}")
|
|
else:
|
|
_external_storage = NullStorage()
|
|
return _external_storage
|
|
|
|
|
|
def reset_external_storage():
|
|
global _external_storage
|
|
_external_storage = NullStorage()
|
|
|
|
|
|
def spill_objects(
|
|
object_refs: List[ObjectRef], owner_addresses: List[str]
|
|
) -> List[str]:
|
|
"""Spill objects to the external storage. Objects are specified
|
|
by their object refs.
|
|
|
|
Args:
|
|
object_refs: The list of the refs of the objects to be spilled.
|
|
owner_addresses: The owner addresses of the provided object refs.
|
|
|
|
Returns:
|
|
A list of keys corresponding to the input object refs.
|
|
"""
|
|
return _external_storage.spill_objects(object_refs, owner_addresses)
|
|
|
|
|
|
def restore_spilled_objects(
|
|
object_refs: List[ObjectRef], url_with_offset_list: List[str]
|
|
):
|
|
"""Restore objects from the external storage.
|
|
|
|
Args:
|
|
object_refs: List of object IDs (note that it is not ref).
|
|
url_with_offset_list: List of url_with_offset.
|
|
|
|
Returns:
|
|
The total number of bytes restored.
|
|
"""
|
|
return _external_storage.restore_spilled_objects(object_refs, url_with_offset_list)
|
|
|
|
|
|
def delete_spilled_objects(urls: List[str]):
|
|
"""Delete objects that are spilled to the external storage.
|
|
|
|
Args:
|
|
urls: URLs that store spilled object files.
|
|
"""
|
|
_external_storage.delete_spilled_objects(urls)
|
|
|
|
|
|
def _get_unique_spill_filename(object_refs: List[ObjectRef]) -> str:
|
|
"""Generate a unique spill file name.
|
|
|
|
Args:
|
|
object_refs: objects to be spilled in this file.
|
|
|
|
Returns:
|
|
A unique filename for the spilled object batch.
|
|
"""
|
|
return f"{uuid.uuid4().hex}-multi-{len(object_refs)}"
|