##// 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.

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validators.pyi
80 lines | 2.3 KiB | text/x-python | PythonLexer
from typing import (
Any,
AnyStr,
Callable,
Container,
ContextManager,
Iterable,
List,
Mapping,
Match,
Optional,
Pattern,
Tuple,
Type,
TypeVar,
Union,
overload,
)
from . import _ValidatorType
from . import _ValidatorArgType
_T = TypeVar("_T")
_T1 = TypeVar("_T1")
_T2 = TypeVar("_T2")
_T3 = TypeVar("_T3")
_I = TypeVar("_I", bound=Iterable)
_K = TypeVar("_K")
_V = TypeVar("_V")
_M = TypeVar("_M", bound=Mapping)
def set_disabled(run: bool) -> None: ...
def get_disabled() -> bool: ...
def disabled() -> ContextManager[None]: ...
# To be more precise on instance_of use some overloads.
# If there are more than 3 items in the tuple then we fall back to Any
@overload
def instance_of(type: Type[_T]) -> _ValidatorType[_T]: ...
@overload
def instance_of(type: Tuple[Type[_T]]) -> _ValidatorType[_T]: ...
@overload
def instance_of(
type: Tuple[Type[_T1], Type[_T2]]
) -> _ValidatorType[Union[_T1, _T2]]: ...
@overload
def instance_of(
type: Tuple[Type[_T1], Type[_T2], Type[_T3]]
) -> _ValidatorType[Union[_T1, _T2, _T3]]: ...
@overload
def instance_of(type: Tuple[type, ...]) -> _ValidatorType[Any]: ...
def provides(interface: Any) -> _ValidatorType[Any]: ...
def optional(
validator: Union[_ValidatorType[_T], List[_ValidatorType[_T]]]
) -> _ValidatorType[Optional[_T]]: ...
def in_(options: Container[_T]) -> _ValidatorType[_T]: ...
def and_(*validators: _ValidatorType[_T]) -> _ValidatorType[_T]: ...
def matches_re(
regex: Union[Pattern[AnyStr], AnyStr],
flags: int = ...,
func: Optional[
Callable[[AnyStr, AnyStr, int], Optional[Match[AnyStr]]]
] = ...,
) -> _ValidatorType[AnyStr]: ...
def deep_iterable(
member_validator: _ValidatorArgType[_T],
iterable_validator: Optional[_ValidatorType[_I]] = ...,
) -> _ValidatorType[_I]: ...
def deep_mapping(
key_validator: _ValidatorType[_K],
value_validator: _ValidatorType[_V],
mapping_validator: Optional[_ValidatorType[_M]] = ...,
) -> _ValidatorType[_M]: ...
def is_callable() -> _ValidatorType[_T]: ...
def lt(val: _T) -> _ValidatorType[_T]: ...
def le(val: _T) -> _ValidatorType[_T]: ...
def ge(val: _T) -> _ValidatorType[_T]: ...
def gt(val: _T) -> _ValidatorType[_T]: ...
def max_len(length: int) -> _ValidatorType[_T]: ...
def min_len(length: int) -> _ValidatorType[_T]: ...