[
https://issues.apache.org/jira/browse/BEAM-10260?focusedWorklogId=446272&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-446272
]
ASF GitHub Bot logged work on BEAM-10260:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 16/Jun/20 04:06
Start Date: 16/Jun/20 04:06
Worklog Time Spent: 10m
Work Description: tweise commented on a change in pull request #12012:
URL: https://github.com/apache/beam/pull/12012#discussion_r440568137
##########
File path: sdks/python/apache_beam/runners/worker/sdk_worker.py
##########
@@ -941,15 +942,29 @@ def extend(self,
is_cached=False
):
# type: (...) -> _Future
+ # Make sure the input is a list of elements
+ elements = list(elements)
Review comment:
Isn't `cached_value.extend(elements)` the only place where this matters?
##########
File path: sdks/python/apache_beam/runners/worker/sdk_worker.py
##########
@@ -941,15 +942,29 @@ def extend(self,
is_cached=False
):
# type: (...) -> _Future
+ # Make sure the input is a list of elements
+ elements = list(elements)
cache_token = self._get_cache_token(state_key, is_cached)
if cache_token:
# Update the cache
cache_key = self._convert_to_cache_key(state_key)
- if self._state_cache.get(cache_key, cache_token) is None:
- # We have never cached this key before, first initialize cache
- self.blocking_get(state_key, coder, is_cached=True)
- # Now update the values in the cache
- self._state_cache.extend(cache_key, cache_token, elements)
+ cached_value = self._state_cache.get(cache_key, cache_token)
+ # Keep in mind that the state for this key can be evicted
+ # while executing this function. Either read or write to the cache
+ # but never do both here!
+ if cached_value is None:
+ # We have never cached this key before, first retrieve state
+ cached_value = self.blocking_get(state_key, coder)
+ # Just extend the already cached value
+ if isinstance(cached_value, list):
+ # The state is fully cached and can be extended
+ cached_value.extend(elements)
+ elif isinstance(cached_value, itertools.chain):
+ # The state is too large to be fully cached (continuation token used),
Review comment:
Why would `extend` be called in this case? Should this be an error?
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Issue Time Tracking
-------------------
Worklog Id: (was: 446272)
Time Spent: 0.5h (was: 20m)
> Nested iterable in state cache exceeds Python recursion limit
> -------------------------------------------------------------
>
> Key: BEAM-10260
> URL: https://issues.apache.org/jira/browse/BEAM-10260
> Project: Beam
> Issue Type: Bug
> Components: sdk-py-harness
> Reporter: Maximilian Michels
> Assignee: Maximilian Michels
> Priority: P2
> Time Spent: 0.5h
> Remaining Estimate: 0h
>
> With state caching enabled, the changes in BEAM-8298 lead to an unbounded
> nesting of state iterables when appending to a bag state, quickly resulting
> in an exception:
> {noformat}
> events = list(event_bag.read())
> File
> "/code/venvs/venv/lib/python3.6/site-packages/apache_beam/runners/worker/bundle_processor.py",
> line 488, in __iter__ for elem in self.first:
> File
> "/code/venvs/venv/lib/python3.6/site-packages/apache_beam/runners/worker/statecache.py",
> line 186, in __iter__ for item in value:
> File
> "/code/venvs/venv/lib/python3.6/site-packages/apache_beam/runners/worker/statecache.py",
> line 186, in __iter__ for item in value:
> File
> "/code/venvs/venv/lib/python3.6/site-packages/apache_beam/runners/worker/statecache.py",
> line 186, in __iter__ for item in value: [Previous line repeated 977
> more times]
> RecursionError: maximum recursion depth exceeded while calling a Python
> object
> {noformat}
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