Add to turn any aggregate function into a window function

python/datafusion/expr.py

@@ -527,6 +527,43 @@ def window_frame(self, window_frame: WindowFrame) -> ExprFuncBuilder:
         """
         return ExprFuncBuilder(self.expr.window_frame(window_frame.window_frame))
 
+    def over(
+        self,
+        partition_by: Optional[list[Expr]] = None,
+        window_frame: Optional[WindowFrame] = None,
+        order_by: Optional[list[SortExpr | Expr]] = None,
+        null_treatment: Optional[NullTreatment] = None,
+    ) -> Expr:
+        """Turn an aggregate function into a window function.
+
+        This function turns any aggregate function into a window function. With the
+        exception of ``partition_by``, how each of the parameters is used is determined
+        by the underlying aggregate function.
+
+        Args:
+            partition_by: Expressions to partition the window frame on
+            window_frame: Specify the window frame parameters
+            order_by: Set ordering within the window frame
+            null_treatment: Set how to handle null values
+        """
+        partition_by_raw = expr_list_to_raw_expr_list(partition_by)
+        order_by_raw = sort_list_to_raw_sort_list(order_by)
+        window_frame_raw = (
+            window_frame.window_frame if window_frame is not None else None
+        )
+        null_treatment_raw = (
+            null_treatment.value if null_treatment is not None else None
+        )
+
+        return Expr(
+            self.expr.over(
+                partition_by=partition_by_raw,
+                order_by=order_by_raw,
+                window_frame=window_frame_raw,
+                null_treatment=null_treatment_raw,
+            )
+        )
+
 
 class ExprFuncBuilder:
     def __init__(self, builder: expr_internal.ExprFuncBuilder):

python/datafusion/tests/test_dataframe.py

@@ -386,38 +386,30 @@ def test_distinct():
         ),
         [-1, -1, None, 7, -1, -1, None],
     ),
-    # TODO update all aggregate functions as windows once upstream merges https://github.com/apache/datafusion-python/issues/833
-    pytest.param(
+    (
         "first_value",
-        f.window(
-            "first_value",
-            [column("a")],
-            order_by=[f.order_by(column("b"))],
-            partition_by=[column("c")],
+        f.first_value(column("a")).over(
+            partition_by=[column("c")], order_by=[column("b")]
         ),
         [1, 1, 1, 1, 5, 5, 5],
     ),
-    pytest.param(
+    (
         "last_value",
-        f.window("last_value", [column("a")])
-        .window_frame(WindowFrame("rows", 0, None))
-        .order_by(column("b"))
-        .partition_by(column("c"))
-        .build(),
+        f.last_value(column("a")).over(
+            partition_by=[column("c")],
+            order_by=[column("b")],
+            window_frame=WindowFrame("rows", None, None),
+        ),
         [3, 3, 3, 3, 6, 6, 6],
     ),
-    pytest.param(
+    (
         "3rd_value",
-        f.window(
-            "nth_value",
-            [column("b"), literal(3)],
-            order_by=[f.order_by(column("a"))],
-        ),
+        f.nth_value(column("b"), 3).over(order_by=[column("a")]),
         [None, None, 7, 7, 7, 7, 7],
     ),
-    pytest.param(
+    (
         "avg",
-        f.round(f.window("avg", [column("b")], order_by=[column("a")]), literal(3)),
+        f.round(f.avg(column("b")).over(order_by=[column("a")]), literal(3)),
         [7.0, 7.0, 7.0, 7.333, 7.75, 7.75, 8.0],
     ),
 ]

src/expr.rs

@@ -16,7 +16,9 @@
 // under the License.
 
 use datafusion::logical_expr::utils::exprlist_to_fields;
-use datafusion::logical_expr::{ExprFuncBuilder, ExprFunctionExt, LogicalPlan};
+use datafusion::logical_expr::{
+    ExprFuncBuilder, ExprFunctionExt, LogicalPlan, WindowFunctionDefinition,
+};
 use pyo3::{basic::CompareOp, prelude::*};
 use std::convert::{From, Into};
 use std::sync::Arc;
@@ -39,6 +41,7 @@ use crate::expr::aggregate_expr::PyAggregateFunction;
 use crate::expr::binary_expr::PyBinaryExpr;
 use crate::expr::column::PyColumn;
 use crate::expr::literal::PyLiteral;
+use crate::functions::add_builder_fns_to_window;
 use crate::sql::logical::PyLogicalPlan;
 
 use self::alias::PyAlias;
@@ -547,6 +550,45 @@ impl PyExpr {
     pub fn window_frame(&self, window_frame: PyWindowFrame) -> PyExprFuncBuilder {
         self.expr.clone().window_frame(window_frame.into()).into()
     }
+
+    #[pyo3(signature = (partition_by=None, window_frame=None, order_by=None, null_treatment=None))]
+    pub fn over(
+        &self,
+        partition_by: Option<Vec<PyExpr>>,
+        window_frame: Option<PyWindowFrame>,
+        order_by: Option<Vec<PySortExpr>>,
+        null_treatment: Option<NullTreatment>,
+    ) -> PyResult<PyExpr> {
+        match &self.expr {
+            Expr::AggregateFunction(agg_fn) => {
+                let window_fn = Expr::WindowFunction(WindowFunction::new(
+                    WindowFunctionDefinition::AggregateUDF(agg_fn.func.clone()),
+                    agg_fn.args.clone(),
+                ));
+
+                add_builder_fns_to_window(
+                    window_fn,
+                    partition_by,
+                    window_frame,
+                    order_by,
+                    null_treatment,
+                )
+            }
+            Expr::WindowFunction(_) => add_builder_fns_to_window(
+                self.expr.clone(),
+                partition_by,
+                window_frame,
+                order_by,
+                null_treatment,
+            ),
+            _ => Err(
+                DataFusionError::ExecutionError(datafusion::error::DataFusionError::Plan(
+                    "Using `over` requires an aggregate function.".to_string(),
+                ))
+                .into(),
+            ),
+        }
+    }
 }
 
 #[pyclass(name = "ExprFuncBuilder", module = "datafusion.expr", subclass)]

src/functions.rs

@@ -15,6 +15,8 @@
 // specific language governing permissions and limitations
 // under the License.
 
+use std::ptr::null;
+
 use datafusion::functions_aggregate::all_default_aggregate_functions;
 use datafusion::logical_expr::window_function;
 use datafusion::logical_expr::ExprFunctionExt;
@@ -711,14 +713,15 @@ pub fn string_agg(
     add_builder_fns_to_aggregate(agg_fn, distinct, filter, order_by, null_treatment)
 }
 
-fn add_builder_fns_to_window(
+pub(crate) fn add_builder_fns_to_window(
     window_fn: Expr,
     partition_by: Option<Vec<PyExpr>>,
+    window_frame: Option<PyWindowFrame>,
     order_by: Option<Vec<PySortExpr>>,
+    null_treatment: Option<NullTreatment>,
 ) -> PyResult<PyExpr> {
-    // Since ExprFuncBuilder::new() is private, set an empty partition and then
-    // override later if appropriate.
-    let mut builder = window_fn.partition_by(vec![]);
+    let null_treatment = null_treatment.map(|n| n.into());
+    let mut builder = window_fn.null_treatment(null_treatment);
 
     if let Some(partition_cols) = partition_by {
         builder = builder.partition_by(
@@ -734,6 +737,10 @@ fn add_builder_fns_to_window(
         builder = builder.order_by(order_by_cols);
     }
 
+    if let Some(window_frame) = window_frame {
+        builder = builder.window_frame(window_frame.into());
+    }
+
     builder.build().map(|e| e.into()).map_err(|err| err.into())
 }
 
@@ -748,7 +755,7 @@ pub fn lead(
 ) -> PyResult<PyExpr> {
     let window_fn = window_function::lead(arg.expr, Some(shift_offset), default_value);
 
-    add_builder_fns_to_window(window_fn, partition_by, order_by)
+    add_builder_fns_to_window(window_fn, partition_by, None, order_by, None)
 }
 
 #[pyfunction]
@@ -762,7 +769,7 @@ pub fn lag(
 ) -> PyResult<PyExpr> {
     let window_fn = window_function::lag(arg.expr, Some(shift_offset), default_value);
 
-    add_builder_fns_to_window(window_fn, partition_by, order_by)
+    add_builder_fns_to_window(window_fn, partition_by, None, order_by, None)
 }
 
 #[pyfunction]
@@ -773,7 +780,7 @@ pub fn row_number(
 ) -> PyResult<PyExpr> {
     let window_fn = datafusion::functions_window::expr_fn::row_number();
 
-    add_builder_fns_to_window(window_fn, partition_by, order_by)
+    add_builder_fns_to_window(window_fn, partition_by, None, order_by, None)
 }
 
 #[pyfunction]
@@ -784,7 +791,7 @@ pub fn rank(
 ) -> PyResult<PyExpr> {
     let window_fn = window_function::rank();
 
-    add_builder_fns_to_window(window_fn, partition_by, order_by)
+    add_builder_fns_to_window(window_fn, partition_by, None, order_by, None)
 }
 
 #[pyfunction]
@@ -795,7 +802,7 @@ pub fn dense_rank(
 ) -> PyResult<PyExpr> {
     let window_fn = window_function::dense_rank();
 
-    add_builder_fns_to_window(window_fn, partition_by, order_by)
+    add_builder_fns_to_window(window_fn, partition_by, None, order_by, None)
 }
 
 #[pyfunction]
@@ -806,7 +813,7 @@ pub fn percent_rank(
 ) -> PyResult<PyExpr> {
     let window_fn = window_function::percent_rank();
 
-    add_builder_fns_to_window(window_fn, partition_by, order_by)
+    add_builder_fns_to_window(window_fn, partition_by, None, order_by, None)
 }
 
 #[pyfunction]
@@ -817,7 +824,7 @@ pub fn cume_dist(
 ) -> PyResult<PyExpr> {
     let window_fn = window_function::cume_dist();
 
-    add_builder_fns_to_window(window_fn, partition_by, order_by)
+    add_builder_fns_to_window(window_fn, partition_by, None, order_by, None)
 }
 
 #[pyfunction]
@@ -829,7 +836,7 @@ pub fn ntile(
 ) -> PyResult<PyExpr> {
     let window_fn = window_function::ntile(arg.into());
 
-    add_builder_fns_to_window(window_fn, partition_by, order_by)
+    add_builder_fns_to_window(window_fn, partition_by, None, order_by, None)
 }
 
 pub(crate) fn init_module(m: &Bound<'_, PyModule>) -> PyResult<()> {