##// END OF EJS Templates
revlog: improve the robustness of the splitting process...
revlog: improve the robustness of the splitting process The previous "in-place" splitting, preserving the splitting on transaction failure had a couple of issue in case of transaction rollback: - a race windows that could still lead to a crash and data loss - it corrupted the `fncache`. So instead, we use a new approach that we summarized as "we do a backup of the inline revlog pre-split, and we restore this in case of failure". To make readers live easier, we don't overwrite the inline index file until transaction finalization. (once the transaction get into its finalization phase, it is not expected to rollback, unless some crash happens). To do so, we write the index of the split index in a temporary file that we use until transaction finalization. We also keep a backup of the initial inline file to be able to rollback the split if needed. As a result, transaction rollback cancel the split and no longer corrupt fncache. We also no longer have a small inconsistency windows where the transaction could be unrecoverable.

File last commit:

r50544:df5d3b0d default
r51242:87f0155d stable
Show More
parsers.pyi
82 lines | 3.0 KiB | text/x-python | PythonLexer
from typing import (
Callable,
Dict,
Iterator,
List,
Optional,
Set,
Tuple,
Union,
)
version: int
versionerrortext: str
class DirstateItem:
__doc__: str
def __len__(self) -> int: ...
def __getitem__(self, key: int) -> Union[bytes, int]: ...
# From dirs.c
class dirs:
__doc__: str
def __init__(self, source, skipchar: bytes): ...
def __iter__(self) -> Iterator[bytes]: ...
def addpath(self, path: bytes) -> None: ...
def delpath(self, path: bytes) -> None: ...
# From manifest.c
class lazymanifest:
def __init__(self, nodelen: int, data: bytes): ...
def __iter__(self) -> Iterator[bytes]: ...
def __len__(self) -> int: ...
def __getitem__(self, item: bytes) -> Optional[Tuple[bytes, bytes]]: ...
def __setitem__(self, key: bytes, value: Tuple[bytes, bytes]) -> None: ...
def __delitem__(self, key: bytes) -> None: ...
def iterkeys(self) -> Iterator[bytes]: ...
def iterentries(self) -> Iterator[Tuple[bytes, bytes, bytes]]: ...
def copy(self) -> lazymanifest: ...
def filtercopy(self, matchfn: Callable[[bytes], bool]) -> lazymanifest: ...
def diff(self, other: lazymanifest, clean: Optional[bool]) -> Dict[bytes, Tuple[bytes, Tuple]]: ...
def text(self) -> bytes: ...
# From revlog.c
class index:
__doc__: str
nodemap: Dict[bytes, int]
def ancestors(self, *args: int) -> Iterator[int]: ...
def commonancestorsheads(self, *args: int) -> List[int]: ...
def clearcaches(self) -> None: ...
def get(self, value: bytes) -> Optional[int]: ...
def get_rev(self, value: bytes) -> Optional[int]: ...
def has_node(self, value: Union[int, bytes]) -> bool: ...
def rev(self, node: bytes) -> int: ...
def computephasesmapsets(self, root: Dict[int, Set[bytes]]) -> Tuple[int, Dict[int, Set[bytes]]]: ...
def reachableroots2(self, minroot: int, heads: List[int], roots: List[int], includepath: bool) -> List[int]: ...
def headrevs(self, filteredrevs: Optional[List[int]]) -> List[int]: ...
def headrevsfiltered(self, filteredrevs: Optional[List[int]]) -> List[int]: ...
def issnapshot(self, value: int) -> bool: ...
def findsnapshots(self, cache: Dict[int, List[int]], start_rev: int) -> None: ...
def deltachain(self, rev: int, stop: int, generaldelta: bool) -> Tuple[List[int], bool]: ...
def slicechunktodensity(self, revs: List[int], targetdensity: float, mingapsize: int) -> List[List[int]]: ...
def append(self, value: Tuple[int, int, int, int, int, int, int, bytes]) -> None: ...
def partialmatch(self, node: bytes) -> bytes: ...
def shortest(self, value: bytes) -> int: ...
def stats(self) -> Dict[bytes, int]: ...
class nodetree:
__doc__: str
def insert(self, rev: int) -> None: ...
def shortest(self, node: bytes) -> int: ...
# The IndexObject type here is defined in C, and there's no type for a buffer
# return, as of py3.11. https://github.com/python/typing/issues/593
def parse_index2(data: object, inline: object, format: int = ...) -> Tuple[object, Optional[Tuple[int, object]]]: ...