Comments (2)
OK, I have this mostly working, will finish up and do PR on Monday.
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Based on the above, it seems like the best initial approach is probably:
- Create a wrapper global allocator for Rust, that wraps jemalloc/mimalloc depending on platform, and registers memory with tracemalloc.
- Use this wrapper only for dev profiles (doing it in release would also be nice and probably low overhead, but requires benchmarking so probably out of scope for this issue).
- Add some PyArrow utility.
- Write tests for the above, to make sure they're actually tracking things!
- Write test infrastructure that allows asserting peak memory doesn't get above a certain level.
- Write a demonstration test focusing on
read_parquet()
.
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Related Issues (20)
- Incorrect result from projection_pushdown HOT 6
- np.NaT should get converted to null when converting from NumPy HOT 2
- Panic when building a Series of lists without an inner dtype
- Why two struct series with different type are equal?
- Upsample fills time_column but not groups HOT 5
- Setup CodSpeed for PR benchmarks HOT 1
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- join_asof should allow for strict inequalities on the "on" column
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- Support `group_by` on columns of type `List(String)` HOT 3
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- Regression after 0.20.19: vec_hash_combine operation not supported for dtype list[u8] when joining with secondary column on list[numeric] HOT 1
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