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At the moment, the use of scheduleOrThrowOnError doesn't currently have a timeout. So if you reach a point of saturation and use all threads available in the global pool, threads block infinitely and lead to a deadlock. This changes that behaviour so that MergeTree data selector threads will have a timeout and return a "No threads available" exception to clients. Credit to Nikita Mikhaylov for the proposition here: https://github.com/ClickHouse/ClickHouse/pull/56431 |
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__init__.py | ||
test.py |