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export and shutdown timeouts for all OTLP exporters
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282
...metry-exporter-otlp-proto-common/src/opentelemetry/exporter/otlp/proto/common/exporter.py
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Original file line number | Diff line number | Diff line change |
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import math | ||
import threading | ||
from itertools import count | ||
from logging import getLogger | ||
from os import environ | ||
from random import uniform | ||
from time import time | ||
from typing import ( | ||
Generic, | ||
Iterator, | ||
Optional, | ||
Protocol, | ||
Type, | ||
TypeVar, | ||
) | ||
|
||
from opentelemetry.sdk.environment_variables import ( | ||
OTEL_EXPORTER_OTLP_TIMEOUT, | ||
) | ||
|
||
logger = getLogger(__name__) | ||
|
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_DEFAULT_EXPORT_TIMEOUT_S = 10 | ||
|
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ExportResultT = TypeVar("ExportResultT", covariant=True) | ||
|
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class _ExportProtocol(Protocol[ExportResultT]): | ||
def __call__(self, timeout_s: float, *args, **kwargs) -> ExportResultT: | ||
... | ||
|
||
|
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class RetryableExportError(Exception): | ||
def __init__(self, retry_delay_s: Optional[float] = None): | ||
super().__init__() | ||
|
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self.retry_delay_s = retry_delay_s | ||
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class RetryingExporter(Generic[ExportResultT]): | ||
def __init__( | ||
self, | ||
export_function: _ExportProtocol[ExportResultT], | ||
result_type: Type[ExportResultT], | ||
timeout_s: Optional[float] = None, | ||
): | ||
"""OTLP exporter helper class. | ||
Encapsulates timeout behavior for shutdown and export tasks. | ||
Accepts a callable `export_function` of the form | ||
def export_function( | ||
timeout_s: float, | ||
*args, | ||
**kwargs | ||
) -> result_type: | ||
.... | ||
that either returns the appropriate export result, or raises a | ||
RetryableExportError exception if the encountered error should | ||
be retried. | ||
Args: | ||
export_function: A callable handling a single export attempt to | ||
be used by export_with_retry() | ||
result_type: Enum-like type defining SUCCESS and FAILURE values | ||
returned by export. | ||
timeout_s: Optional timeout for exports in seconds. Set to smaller | ||
of provided arg and value in OTEL_EXPORTER_OTLP_TIMEOUT. Defaults | ||
to constant if both are unset. | ||
""" | ||
self._result_type = result_type | ||
self._export_function = export_function | ||
if timeout_s: | ||
# If the user provided a timeout, don't use the default as a lower | ||
# bound. | ||
self._timeout_s = min( | ||
timeout_s, | ||
float(environ.get(OTEL_EXPORTER_OTLP_TIMEOUT, math.inf)), | ||
) | ||
else: | ||
self._timeout_s = float( | ||
environ.get( | ||
OTEL_EXPORTER_OTLP_TIMEOUT, _DEFAULT_EXPORT_TIMEOUT_S | ||
) | ||
) | ||
|
||
self._shutdown_event = threading.Event() | ||
self._export_lock = threading.Lock() | ||
|
||
def shutdown(self, timeout_millis: float = 30_000): | ||
if self._shutdown_event.is_set(): | ||
logger.warning("Exporter already shutdown, ignoring call") | ||
return | ||
locked = False | ||
try: | ||
locked = self._export_lock.acquire(timeout=timeout_millis * 1e-3) | ||
self._shutdown_event.set() | ||
finally: | ||
if locked: | ||
# Only release if we were the one who acquired the lock | ||
self._export_lock.release() | ||
|
||
def export_with_retry( | ||
self, | ||
timeout_s: float, | ||
*args, | ||
**kwargs, | ||
) -> ExportResultT: | ||
"""Exports data with handling of retryable errors. | ||
Calls the export_function provided at initialization with the following | ||
signature: | ||
export_function(*args, timeout_s=remaining_time, **kwargs) | ||
where `remaining_time` is updated with each retry, and *args and | ||
**kwargs are forwarded as-is. | ||
Retries will be attempted using exponential backoff with full jitter. | ||
If retry_delay_s is specified in the raised error, a retry attempt will | ||
not occur before that delay. If a retry after that delay is | ||
not possible, will immediately abort without retrying. | ||
Will reattempt the export until timeout has passed, at which point | ||
the export will be abandoned and a failure will be returned. | ||
A pending shutdown timing out will also cause retries to time out. | ||
Note: Can block longer than timeout if export_function is blocking. | ||
Ensure export_function blocks minimally and does not attempt | ||
retries. | ||
Args: | ||
timeout_s: Timeout in seconds. No more reattempts will occur after | ||
this time. | ||
*args: Variable length argument list forwarded to underlying export | ||
**kwargs: Arbitrary keyword arguments forwarded to underlying export | ||
""" | ||
# After the call to shutdown, subsequent calls to Export are | ||
# not allowed and should return a Failure result. | ||
if self._shutdown_event.is_set(): | ||
logger.warning("Exporter already shutdown, ignoring batch") | ||
return self._result_type.FAILURE | ||
# If negative timeout passed (from e.g. external batch deadline) | ||
# fail immediately | ||
if timeout_s <= 0: | ||
logger.warning("Export deadline passed, ignoring data") | ||
return self._result_type.FAILURE | ||
|
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# Use the lowest of the possible timeouts | ||
timeout_s = ( | ||
min(timeout_s, self._timeout_s) | ||
if timeout_s is not None | ||
else self._timeout_s | ||
) | ||
deadline_s = time() + timeout_s | ||
# We acquire a lock to prevent shutdown from interrupting us | ||
try: | ||
if not self._export_lock.acquire(timeout=timeout_s): | ||
logger.warning( | ||
"Exporter failed to acquire lock before timeout" | ||
) | ||
return self._result_type.FAILURE | ||
# _create_exp_backoff_with_jitter returns a generator that yields random delay | ||
# values whose upper bounds grow exponentially. The upper bound will cap at max | ||
# value (never wait more than 64 seconds at once) | ||
max_value = 64 | ||
for delay_s in _create_exp_backoff_with_jitter_generator( | ||
max_value=max_value | ||
): | ||
remaining_time_s = deadline_s - time() | ||
|
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if remaining_time_s < 1e-09: | ||
# Timed out | ||
return self._result_type.FAILURE | ||
|
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if self._shutdown_event.is_set(): | ||
logger.warning( | ||
"Export cancelled due to shutdown timing out", | ||
) | ||
return self._result_type.FAILURE | ||
|
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try: | ||
return self._export_function( | ||
remaining_time_s, | ||
*args, | ||
**kwargs, | ||
) | ||
except RetryableExportError as err: | ||
time_remaining_s = deadline_s - time() | ||
delay_s = min(time_remaining_s, delay_s) | ||
if err.retry_delay_s is not None: | ||
if err.retry_delay_s > time_remaining_s: | ||
# We should not retry before the requested interval, so | ||
# we must fail out prematurely. | ||
return self._result_type.FAILURE | ||
delay_s = max(err.retry_delay_s, delay_s) | ||
logger.warning( | ||
"Retrying in %ss", | ||
delay_s, | ||
) | ||
self._shutdown_event.wait(delay_s) | ||
finally: | ||
self._export_lock.release() | ||
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return self._result_type.FAILURE | ||
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def _create_exp_backoff_generator(max_value: int = 0) -> Iterator[int]: | ||
""" | ||
Generates an infinite sequence of exponential backoff values. The sequence starts | ||
from 1 (2^0) and doubles each time (2^1, 2^2, 2^3, ...). If a max_value is specified | ||
and non-zero, the generated values will not exceed this maximum, capping at max_value | ||
instead of growing indefinitely. | ||
Parameters: | ||
- max_value (int, optional): The maximum value to yield. If 0 or not provided, the | ||
sequence grows without bound. | ||
Returns: | ||
Iterator[int]: An iterator that yields the exponential backoff values, either uncapped or | ||
capped at max_value. | ||
Example: | ||
``` | ||
gen = _create_exp_backoff_generator(max_value=10) | ||
for _ in range(5): | ||
print(next(gen)) | ||
``` | ||
This will print: | ||
1 | ||
2 | ||
4 | ||
8 | ||
10 | ||
Note: this functionality used to be handled by the 'backoff' package. | ||
""" | ||
for i in count(0): | ||
out = 2**i | ||
yield min(out, max_value) if max_value else out | ||
|
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|
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def _create_exp_backoff_with_jitter_generator( | ||
max_value: int = 0, | ||
) -> Iterator[float]: | ||
""" | ||
Generates an infinite sequence of exponential backoff values with jitter using the | ||
FullJitter approach. For each element "n" in the exponential backoff series created | ||
by _create_exp_backoff(max_value), yields a random number in the half-open range [0,n). | ||
This algorithm is originally documented at | ||
https://aws.amazon.com/blogs/architecture/exponential-backoff-and-jitter/ | ||
Parameters: | ||
- max_value (int, optional): The maximum value to yield. If 0 or not provided, the | ||
sequence grows without bound. | ||
Returns: | ||
Iterator[int]: An iterator that yields the exponential backoff values, either uncapped or | ||
capped at max_value. | ||
Example: | ||
``` | ||
import random | ||
random.seed(20240220) | ||
gen = _create_exp_backoff_with_jitter_generator(max_value=10) | ||
for _ in range(5): | ||
print(next(gen)) | ||
``` | ||
This will print: | ||
0.1341603010697452 | ||
0.34773275270578097 | ||
3.6022913287022913 | ||
6.663388602254524 | ||
6.492676168164246 | ||
""" | ||
for i in _create_exp_backoff_generator(max_value): | ||
yield uniform(0, i) |
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