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export and shutdown timeouts for all OTLP exporters #3764

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Original file line number Diff line number Diff line change
Expand Up @@ -6,7 +6,8 @@ OpenTelemetry Protobuf Encoding
.. |pypi| image:: https://badge.fury.io/py/opentelemetry-exporter-otlp-proto-common.svg
:target: https://pypi.org/project/opentelemetry-exporter-otlp-proto-common/

This library is provided as a convenience to encode to Protobuf. Currently used by:

This library provides the shared exporter interface as well as convenience modules to encode to Protobuf. Currently used by:

* opentelemetry-exporter-otlp-proto-grpc
* opentelemetry-exporter-otlp-proto-http
Expand Down
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,6 @@

import logging
from collections.abc import Sequence
from itertools import count
from typing import (
Any,
Mapping,
Expand All @@ -24,7 +23,6 @@
Callable,
TypeVar,
Dict,
Iterator,
)

from opentelemetry.sdk.util.instrumentation import InstrumentationScope
Expand Down Expand Up @@ -138,38 +136,3 @@ def _get_resource_data(
)
)
return resource_data


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
Original file line number Diff line number Diff line change
@@ -0,0 +1,282 @@
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__)

_DEFAULT_EXPORT_TIMEOUT_S = 10

ExportResultT = TypeVar("ExportResultT", covariant=True)


class _ExportProtocol(Protocol[ExportResultT]):
def __call__(self, timeout_s: float, *args, **kwargs) -> ExportResultT:
...


class RetryableExportError(Exception):
def __init__(self, retry_delay_s: Optional[float] = None):
super().__init__()

self.retry_delay_s = retry_delay_s


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

# 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()

if remaining_time_s < 1e-09:
# Timed out
return self._result_type.FAILURE

if self._shutdown_event.is_set():
logger.warning(
"Export cancelled due to shutdown timing out",
)
return self._result_type.FAILURE

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()

return self._result_type.FAILURE


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


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)
Original file line number Diff line number Diff line change
Expand Up @@ -12,10 +12,12 @@
# See the License for the specific language governing permissions and
# limitations under the License.

import random
from unittest import TestCase

from opentelemetry.exporter.otlp.proto.common._internal import (
from opentelemetry.exporter.otlp.proto.common.exporter import (
_create_exp_backoff_generator,
_create_exp_backoff_with_jitter_generator,
)


Expand Down Expand Up @@ -44,3 +46,20 @@ def test_exp_backoff_generator_with_odd_max(self):
self.assertEqual(next(generator), 4)
self.assertEqual(next(generator), 8)
self.assertEqual(next(generator), 11)


class TestBackoffWithJitterGenerator(TestCase):
def setUp(self):
self.initial_state = random.getstate()

def tearDown(self):
return random.setstate(self.initial_state)

def test_exp_backoff_with_jitter_generator(self):
random.seed(20240220)
generator = _create_exp_backoff_with_jitter_generator(max_value=10)
self.assertAlmostEqual(next(generator), 0.1341603010697452)
self.assertAlmostEqual(next(generator), 0.34773275270578097)
self.assertAlmostEqual(next(generator), 3.6022913287022913)
self.assertAlmostEqual(next(generator), 6.663388602254524)
self.assertAlmostEqual(next(generator), 6.492676168164246)
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