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[SPARK-51880][ML][PYTHON][CONNECT] Fix ML cache object python client references #50707
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Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
zhengruifeng
approved these changes
Apr 25, 2025
Signed-off-by: Weichen Xu <[email protected]>
HyukjinKwon
approved these changes
Apr 25, 2025
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
Signed-off-by: Weichen Xu <[email protected]>
merged to master |
WeichenXu123
commented
Apr 28, 2025
@@ -1981,9 +1981,10 @@ def add_ml_cache(self, cache_id: str) -> None: | |||
self.thread_local.ml_caches.add(cache_id) | |||
|
|||
def remove_ml_cache(self, cache_id: str) -> None: | |||
deleted = self._delete_ml_cache([cache_id]) | |||
# TODO: Fix the code: change thread-local `ml_caches` to global `ml_caches`. |
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TODO
Kimahriman
pushed a commit
to Kimahriman/spark
that referenced
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May 13, 2025
…references ### What changes were proposed in this pull request? Fix ML cache object python client references. When a model is copied from client, it results in multiple client model objects refer to the same server cached model. In this case, we need a reference count, only when reference count decreases to zero, we can release the server cached model. ### Why are the changes needed? Bugfix. ### Does this PR introduce _any_ user-facing change? No ### How was this patch tested? Unit tests. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#50707 from WeichenXu123/ml-ref-id-fix. Lead-authored-by: Weichen Xu <[email protected]> Co-authored-by: WeichenXu <[email protected]> Signed-off-by: Ruifeng Zheng <[email protected]>
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What changes were proposed in this pull request?
Fix ML cache object python client references.
When a model is copied from client, it results in multiple client model objects refer to the same server cached model.
In this case, we need a reference count, only when reference count decreases to zero, we can release the server cached model.
Why are the changes needed?
Bugfix.
Does this PR introduce any user-facing change?
No
How was this patch tested?
Unit tests.
Was this patch authored or co-authored using generative AI tooling?
No.