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ARROW-14908: [C++][R] Multiple scanners plus join gives segfault when use_threads=FALSE #12437
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When I run with a fix in place for hash join paths, I sometimes get |
| ThreadLocalState& GetLocalState(size_t thread_index) { | ||
| if (ARROW_PREDICT_FALSE(thread_index >= local_states_.size())) { | ||
| size_t old_size = local_states_.size(); | ||
| local_states_.resize(thread_index + 1); | ||
| for (size_t i = old_size; i < local_states_.size(); ++i) { | ||
| local_states_[i].is_initialized = false; | ||
| local_states_[i].is_has_match_initialized = false; | ||
| } | ||
| } | ||
| return local_states_[thread_index]; | ||
| } |
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So here's my suggestion for an alternative approach: Instead of trusting that the exact correct number of threads has been created (since that seems hard), gracefully resize the local state vectors as needed. I think there's a few more places I'd need to add this logic (we might even need this in the indexer; see my earlier comment about the occasional failure).
What do you think @westonpace?
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Isn't this thread-unsafe? You're resizing a vector while it could be accessed by other threads concurrently?
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Sure, that needs to be fixed.
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I'm curios, given that during the Init the vector is set to the size equal to the number of threads, when does it happen that GetLocalState is invoked with a thread index outside of the already allocated ones? I thought we were using threadpools and thus the amount of threads was stable. Are we recycling them or something like that?
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The thread pools don't include the main thread, for instance. Also it's sized to the CPU thread pool, but something might 'leak' from the IO thread pool.
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The IO threads and CPU threads are separate pools, and if we don't pass an executor the source node runs the downstream nodes on the IO thread:
| outputs_[0]->InputReceived(this, std::move(batch)); |
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And by the way, the user is allowed to change thread pool capacity at runtime, so static sizing will never be correct even in the simple case of a single thread pool.
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The sizing is recomputed for each new exec plan so the failure would only occur on plans that were running when the thread pool was resized. I am planning on taking a look at a better implementation for use_threads=FALSE on Friday using a serial executor which will ensure that an exec plan always has an executor and exec plan steps are always run on a thread belonging to that executor. This will solve all but the issue Antoine mentioned.
That being said, I think your solution is reasonable. I'll have to ping @bkietz and @michalursa as they were the original proponents of the statically sized thread states. I don't know if that was based on speculation, existing literature, or actual benchmark measurements however.
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By the way, ARROW-14908 is closed. Should you update this PR to point to a different JIRA id? |
Yes, I can create a follow-up Jira. |
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Closing this in favor of #12468 |
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