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PolarsReadParquet only forwarded `columns` and `storage_options`, so a pd.read_parquet source that works on pandas broke under implementation_selector="greedy": - `filters=` (pyarrow DNF) failed the whole plan at selection time. It is now translated to one polars predicate and applied to a scan_parquet before projecting `columns`, so pruned hive partitions are never read. - fsspec `storage_options` (gcsfs `token`, s3fs `key`/`secret`/`anon`) were ignored by polars' object store, so cloud reads went out unauthenticated (401). They are now mapped to object-store keys; other keys pass through. - A cloud dataset directory without a trailing slash was looked up as a single object (404). Such paths now get the slash polars needs to list them.
The pool admits objects it cannot size (counted as UNKNOWN_SIZE), but the serializer refuses anything that is not a frame, array, primitive or container of those. Over budget, eviction picked such an entry -- in practice the splitter from mark_as_X(cv=...) -- and the ValueError failed the whole plan. Serialization now raises UnsupportedSpillType and removes leaf files it already wrote for a container it then gave up on. Eviction catches it, marks the entry unspillable, keeps it in memory, and moves on to the next LRU candidate.
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e-strauss
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) PolarsReadParquet only forwarded `columns` and `storage_options`, so a pd.read_parquet source that works on pandas broke under implementation_selector="greedy": - `filters=` (pyarrow DNF) failed the whole plan at selection time. It is now translated to one polars predicate and applied to a scan_parquet before projecting `columns`, so pruned hive partitions are never read. - fsspec `storage_options` (gcsfs `token`, s3fs `key`/`secret`/`anon`) were ignored by polars' object store, so cloud reads went out unauthenticated (401). They are now mapped to object-store keys; other keys pass through. - A cloud dataset directory without a trailing slash was looked up as a single object (404). Such paths now get the slash polars needs to list them.
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