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fix(rust, python): block projection pushdown on unnest (#5093)
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ritchie46 committed Oct 4, 2022
1 parent 53709d7 commit 2088fff
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Showing 3 changed files with 36 additions and 2 deletions.
3 changes: 2 additions & 1 deletion polars/polars-lazy/polars-plan/Cargo.toml
Original file line number Diff line number Diff line change
Expand Up @@ -28,7 +28,7 @@ parquet = ["polars-core/parquet", "polars-io/parquet"]
ipc = ["polars-io/ipc"]
json = ["polars-io/json"]
csv-file = ["polars-io/csv-file"]
temporal = ["polars-core/temporal", "dtype-date", "dtype-datetime"]
temporal = ["polars-core/temporal", "dtype-date", "dtype-datetime", "dtype-time"]
# debugging purposes
fmt = ["polars-core/fmt"]
strings = ["polars-core/strings", "polars-ops/strings"]
Expand All @@ -40,6 +40,7 @@ dtype-i16 = ["polars-core/dtype-i16"]
dtype-date = ["polars-core/dtype-date", "polars-time/dtype-date", "temporal"]
dtype-datetime = ["polars-core/dtype-datetime", "polars-time/dtype-datetime", "temporal"]
dtype-duration = ["polars-core/dtype-duration", "polars-time/dtype-duration", "temporal"]
dtype-time = ["polars-core/dtype-time", "polars-time/dtype-time"]
dtype-categorical = ["polars-core/dtype-categorical"]
dtype-struct = ["polars-core/dtype-struct"]
object = ["polars-core/object"]
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12 changes: 11 additions & 1 deletion polars/polars-lazy/src/frame/mod.rs
Original file line number Diff line number Diff line change
Expand Up @@ -1187,7 +1187,17 @@ impl LazyFrame {
};
self.map(
move |df| df.unnest(&cols2),
Some(AllowedOptimizations::default()),
Some(AllowedOptimizations {
projection_pushdown: false,
predicate_pushdown: true,
type_coercion: true,
simplify_expr: true,
file_caching: true,
aggregate_pushdown: true,
slice_pushdown: true,
#[cfg(feature = "cse")]
common_subplan_elimination: true,
}),
Some(Arc::new(udf_schema)),
Some("unnest"),
)
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23 changes: 23 additions & 0 deletions py-polars/tests/unit/test_projections.py
Original file line number Diff line number Diff line change
Expand Up @@ -39,3 +39,26 @@ def test_double_projection_pushdown() -> None:
.select(["c0", "c1"])
).describe_optimized_plan()
)


def test_unnest_projection_pushdown() -> None:
lf = pl.DataFrame({"x|y|z": [1, 2], "a|b|c": [2, 3]}).lazy()

mlf = (
lf.melt()
.with_column(pl.col("variable").str.split_exact("|", 2))
.unnest("variable")
)
mlf = mlf.select(
[
pl.col("field_1").cast(pl.Categorical).alias("row"),
pl.col("field_2").cast(pl.Categorical).alias("col"),
pl.col("value"),
]
)
out = mlf.collect().to_dict(False)
assert out == {
"row": ["y", "y", "b", "b"],
"col": ["z", "z", "c", "c"],
"value": [1, 2, 2, 3],
}

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