fix: Fix group-by slice on all keys

crates/polars-lazy/src/frame/mod.rs

@@ -1513,13 +1513,25 @@ impl LazyFrame {
 
     /// Apply explode operation. [See eager explode](polars_core::frame::DataFrame::explode).
     pub fn explode<E: AsRef<[IE]>, IE: Into<Selector> + Clone>(self, columns: E) -> LazyFrame {
+        self.explode_impl(columns, false)
+    }
+
+    /// Apply explode operation. [See eager explode](polars_core::frame::DataFrame::explode).
+    fn explode_impl<E: AsRef<[IE]>, IE: Into<Selector> + Clone>(
+        self,
+        columns: E,
+        allow_empty: bool,
+    ) -> LazyFrame {
         let columns = columns
             .as_ref()
             .iter()
             .map(|e| e.clone().into())
             .collect::<Vec<_>>();
         let opt_state = self.get_opt_state();
-        let lp = self.get_plan_builder().explode(columns).build();
+        let lp = self
+            .get_plan_builder()
+            .explode(columns, allow_empty)
+            .build();
         Self::from_logical_plan(lp, opt_state)
     }
 
@@ -1877,7 +1889,7 @@ impl LazyGroupBy {
             .collect::<Vec<_>>();
 
         self.agg([col("*").exclude(&keys).head(n)])
-            .explode([col("*").exclude(&keys)])
+            .explode_impl([col("*").exclude(&keys)], true)
     }
 
     /// Return last n rows of each group
@@ -1889,7 +1901,7 @@ impl LazyGroupBy {
             .collect::<Vec<_>>();
 
         self.agg([col("*").exclude(&keys).tail(n)])
-            .explode([col("*").exclude(&keys)])
+            .explode_impl([col("*").exclude(&keys)], true)
     }
 
     /// Apply a function over the groups as a new DataFrame.

crates/polars-plan/src/plans/builder_dsl.rs

@@ -346,10 +346,13 @@ impl DslBuilder {
         .into()
     }
 
-    pub fn explode(self, columns: Vec<Selector>) -> Self {
+    pub fn explode(self, columns: Vec<Selector>, allow_empty: bool) -> Self {
         DslPlan::MapFunction {
             input: Arc::new(self.0),
-            function: DslFunction::Explode { columns },
+            function: DslFunction::Explode {
+                columns,
+                allow_empty,
+            },
         }
         .into()
     }

crates/polars-plan/src/plans/conversion/dsl_to_ir.rs

@@ -636,6 +636,23 @@ pub fn to_alp_impl(
             let input_schema = lp_arena.get(input).schema(lp_arena);
 
             match function {
+                DslFunction::Explode {
+                    columns,
+                    allow_empty,
+                } => {
+                    let columns = expand_selectors(columns, &input_schema, &[])?;
+                    validate_columns_in_input(&columns, &input_schema, "explode")?;
+                    polars_ensure!(!columns.is_empty() || allow_empty, InvalidOperation: "no columns provided in explode");
+                    if columns.is_empty() {
+                        return Ok(input);
+                    }
+                    let function = FunctionIR::Explode {
+                        columns,
+                        schema: Default::default(),
+                    };
+                    let ir = IR::MapFunction { input, function };
+                    return Ok(lp_arena.add(ir));
+                },
                 DslFunction::FillNan(fill_value) => {
                     let exprs = input_schema
                         .iter()

crates/polars-plan/src/plans/functions/dsl.rs

@@ -29,6 +29,7 @@ pub enum DslFunction {
     OpaquePython(OpaquePythonUdf),
     Explode {
         columns: Vec<Selector>,
+        allow_empty: bool,
     },
     #[cfg(feature = "pivot")]
     Unpivot {
@@ -79,7 +80,7 @@ pub enum StatsFunction {
     Max,
 }
 
-fn validate_columns<S: AsRef<str>>(
+pub(crate) fn validate_columns_in_input<S: AsRef<str>>(
     columns: &[S],
     input_schema: &Schema,
     operation_name: &str,
@@ -93,20 +94,12 @@ fn validate_columns<S: AsRef<str>>(
 impl DslFunction {
     pub(crate) fn into_function_ir(self, input_schema: &Schema) -> PolarsResult<FunctionIR> {
         let function = match self {
-            DslFunction::Explode { columns } => {
-                let columns = expand_selectors(columns, input_schema, &[])?;
-                validate_columns(columns.as_ref(), input_schema, "explode")?;
-                FunctionIR::Explode {
-                    columns,
-                    schema: Default::default(),
-                }
-            },
             #[cfg(feature = "pivot")]
             DslFunction::Unpivot { args } => {
                 let on = expand_selectors(args.on, input_schema, &[])?;
                 let index = expand_selectors(args.index, input_schema, &[])?;
-                validate_columns(on.as_ref(), input_schema, "unpivot")?;
-                validate_columns(index.as_ref(), input_schema, "unpivot")?;
+                validate_columns_in_input(on.as_ref(), input_schema, "unpivot")?;
+                validate_columns_in_input(index.as_ref(), input_schema, "unpivot")?;
 
                 let args = UnpivotArgsIR {
                     on: on.iter().map(|s| s.as_ref().into()).collect(),
@@ -128,7 +121,7 @@ impl DslFunction {
             },
             DslFunction::Rename { existing, new } => {
                 let swapping = new.iter().any(|name| input_schema.get(name).is_some());
-                validate_columns(existing.as_ref(), input_schema, "rename")?;
+                validate_columns_in_input(existing.as_ref(), input_schema, "rename")?;
 
                 FunctionIR::Rename {
                     existing,
@@ -139,12 +132,15 @@ impl DslFunction {
             },
             DslFunction::Unnest(selectors) => {
                 let columns = expand_selectors(selectors, input_schema, &[])?;
-                validate_columns(columns.as_ref(), input_schema, "explode")?;
+                validate_columns_in_input(columns.as_ref(), input_schema, "explode")?;
                 FunctionIR::Unnest { columns }
             },
             #[cfg(feature = "python")]
             DslFunction::OpaquePython(inner) => FunctionIR::OpaquePython(inner),
-            DslFunction::Stats(_) | DslFunction::FillNan(_) | DslFunction::Drop(_) => {
+            DslFunction::Stats(_)
+            | DslFunction::FillNan(_)
+            | DslFunction::Drop(_)
+            | DslFunction::Explode { .. } => {
                 // We should not reach this.
                 panic!("impl error")
             },

py-polars/tests/unit/operations/test_slice.py

@@ -253,3 +253,23 @@ def test_slice_pushdown_simple_projection_18288() -> None:
         "col": [0],
         "literal": [None],
     }
+
+
+def test_group_by_slice_all_keys() -> None:
+    df = pl.DataFrame(
+        {
+            "a": ["Tom", "Nick", "Marry", "Krish", "Jack", None],
+            "b": [
+                "2020-01-01",
+                "2020-01-02",
+                "2020-01-03",
+                "2020-01-04",
+                "2020-01-05",
+                None,
+            ],
+            "c": [5, 6, 6, 7, 8, 5],
+        }
+    )
+
+    gb = df.group_by(["a", "b", "c"], maintain_order=True)
+    assert_frame_equal(gb.tail(1), gb.head(1))