Move PartitionSearchMode into datafusion_physical_plan, rename to InputOrderMode

datafusion/core/src/physical_optimizer/enforce_sorting.rs

@@ -53,14 +53,15 @@ use crate::physical_plan::sorts::sort_preserving_merge::SortPreservingMergeExec;
 use crate::physical_plan::windows::{
     get_best_fitting_window, BoundedWindowAggExec, WindowAggExec,
 };
-use crate::physical_plan::{with_new_children_if_necessary, Distribution, ExecutionPlan};
+use crate::physical_plan::{
+    with_new_children_if_necessary, Distribution, ExecutionPlan, InputOrderMode,
+};
 
 use datafusion_common::tree_node::{Transformed, TreeNode, VisitRecursion};
 use datafusion_common::{plan_err, DataFusionError};
 use datafusion_physical_expr::{PhysicalSortExpr, PhysicalSortRequirement};
 
 use datafusion_physical_plan::repartition::RepartitionExec;
-use datafusion_physical_plan::windows::PartitionSearchMode;
 use itertools::izip;
 
 /// This rule inspects [`SortExec`]'s in the given physical plan and removes the
@@ -611,7 +612,7 @@ fn analyze_window_sort_removal(
                 window_expr.to_vec(),
                 window_child,
                 partitionby_exprs.to_vec(),
-                PartitionSearchMode::Sorted,
+                InputOrderMode::Sorted,
             )?) as _
         } else {
             Arc::new(WindowAggExec::try_new(

datafusion/core/src/physical_optimizer/test_utils.rs

@@ -35,7 +35,7 @@ use crate::physical_plan::sorts::sort::SortExec;
 use crate::physical_plan::sorts::sort_preserving_merge::SortPreservingMergeExec;
 use crate::physical_plan::union::UnionExec;
 use crate::physical_plan::windows::create_window_expr;
-use crate::physical_plan::{ExecutionPlan, Partitioning};
+use crate::physical_plan::{ExecutionPlan, InputOrderMode, Partitioning};
 use crate::prelude::{CsvReadOptions, SessionContext};
 
 use arrow_schema::{Schema, SchemaRef, SortOptions};
@@ -44,7 +44,6 @@ use datafusion_execution::object_store::ObjectStoreUrl;
 use datafusion_expr::{AggregateFunction, WindowFrame, WindowFunction};
 use datafusion_physical_expr::expressions::col;
 use datafusion_physical_expr::{PhysicalExpr, PhysicalSortExpr};
-use datafusion_physical_plan::windows::PartitionSearchMode;
 
 use async_trait::async_trait;
 
@@ -240,7 +239,7 @@ pub fn bounded_window_exec(
             .unwrap()],
             input.clone(),
             vec![],
-            PartitionSearchMode::Sorted,
+            InputOrderMode::Sorted,
         )
         .unwrap(),
     )

datafusion/core/src/physical_planner.rs

@@ -63,12 +63,10 @@ use crate::physical_plan::sorts::sort::SortExec;
 use crate::physical_plan::union::UnionExec;
 use crate::physical_plan::unnest::UnnestExec;
 use crate::physical_plan::values::ValuesExec;
-use crate::physical_plan::windows::{
-    BoundedWindowAggExec, PartitionSearchMode, WindowAggExec,
-};
+use crate::physical_plan::windows::{BoundedWindowAggExec, WindowAggExec};
 use crate::physical_plan::{
-    aggregates, displayable, udaf, windows, AggregateExpr, ExecutionPlan, Partitioning,
-    PhysicalExpr, WindowExpr,
+    aggregates, displayable, udaf, windows, AggregateExpr, ExecutionPlan, InputOrderMode,
+    Partitioning, PhysicalExpr, WindowExpr,
 };
 
 use arrow::compute::SortOptions;
@@ -761,7 +759,7 @@ impl DefaultPhysicalPlanner {
                             window_expr,
                             input_exec,
                             physical_partition_keys,
-                            PartitionSearchMode::Sorted,
+                            InputOrderMode::Sorted,
                         )?)
                     } else {
                         Arc::new(WindowAggExec::try_new(

datafusion/core/tests/fuzz_cases/window_fuzz.rs

@@ -25,9 +25,9 @@ use arrow::util::pretty::pretty_format_batches;
 use datafusion::physical_plan::memory::MemoryExec;
 use datafusion::physical_plan::sorts::sort::SortExec;
 use datafusion::physical_plan::windows::{
-    create_window_expr, BoundedWindowAggExec, PartitionSearchMode, WindowAggExec,
+    create_window_expr, BoundedWindowAggExec, WindowAggExec,
 };
-use datafusion::physical_plan::{collect, ExecutionPlan};
+use datafusion::physical_plan::{collect, ExecutionPlan, InputOrderMode};
 use datafusion::prelude::{SessionConfig, SessionContext};
 use datafusion_common::{Result, ScalarValue};
 use datafusion_expr::type_coercion::aggregates::coerce_types;
@@ -43,9 +43,7 @@ use hashbrown::HashMap;
 use rand::rngs::StdRng;
 use rand::{Rng, SeedableRng};
 
-use datafusion_physical_plan::windows::PartitionSearchMode::{
-    Linear, PartiallySorted, Sorted,
-};
+use datafusion_physical_plan::InputOrderMode::{Linear, PartiallySorted, Sorted};
 
 #[tokio::test(flavor = "multi_thread", worker_threads = 16)]
 async fn window_bounded_window_random_comparison() -> Result<()> {
@@ -385,9 +383,9 @@ async fn run_window_test(
     random_seed: u64,
     partition_by_columns: Vec<&str>,
     orderby_columns: Vec<&str>,
-    search_mode: PartitionSearchMode,
+    search_mode: InputOrderMode,
 ) -> Result<()> {
-    let is_linear = !matches!(search_mode, PartitionSearchMode::Sorted);
+    let is_linear = !matches!(search_mode, InputOrderMode::Sorted);
     let mut rng = StdRng::seed_from_u64(random_seed);
     let schema = input1[0].schema();
     let session_config = SessionConfig::new().with_batch_size(50);

datafusion/physical-plan/src/aggregates/mod.rs

@@ -27,11 +27,9 @@ use crate::aggregates::{
 };
 
 use crate::metrics::{ExecutionPlanMetricsSet, MetricsSet};
-use crate::windows::{
-    get_ordered_partition_by_indices, get_window_mode, PartitionSearchMode,
-};
+use crate::windows::{get_ordered_partition_by_indices, get_window_mode};
 use crate::{
-    DisplayFormatType, Distribution, ExecutionPlan, Partitioning,
+    DisplayFormatType, Distribution, ExecutionPlan, InputOrderMode, Partitioning,
     SendableRecordBatchStream, Statistics,
 };
 
@@ -304,7 +302,9 @@ pub struct AggregateExec {
     /// Execution metrics
     metrics: ExecutionPlanMetricsSet,
     required_input_ordering: Option<LexRequirement>,
-    partition_search_mode: PartitionSearchMode,
+    /// Describes how the input is ordered relative to the group by columns
+    input_order_mode: InputOrderMode,
+    /// Describe how the output is ordered
     output_ordering: Option<LexOrdering>,
 }
 
@@ -409,15 +409,15 @@ fn get_aggregate_search_mode(
     aggr_expr: &mut [Arc<dyn AggregateExpr>],
     order_by_expr: &mut [Option<LexOrdering>],
     ordering_req: &mut Vec<PhysicalSortExpr>,
-) -> PartitionSearchMode {
+) -> InputOrderMode {
     let groupby_exprs = group_by
         .expr
         .iter()
         .map(|(item, _)| item.clone())
         .collect::<Vec<_>>();
-    let mut partition_search_mode = PartitionSearchMode::Linear;
+    let mut input_order_mode = InputOrderMode::Linear;
     if !group_by.is_single() || groupby_exprs.is_empty() {
-        return partition_search_mode;
+        return input_order_mode;
     }
 
     if let Some((should_reverse, mode)) =
@@ -439,9 +439,9 @@ fn get_aggregate_search_mode(
             );
             *ordering_req = reverse_order_bys(ordering_req);
         }
-        partition_search_mode = mode;
+        input_order_mode = mode;
     }
-    partition_search_mode
+    input_order_mode
 }
 
 /// Check whether group by expression contains all of the expression inside `requirement`
@@ -515,7 +515,7 @@ impl AggregateExec {
             &input.equivalence_properties(),
         )?;
         let mut ordering_req = requirement.unwrap_or(vec![]);
-        let partition_search_mode = get_aggregate_search_mode(
+        let input_order_mode = get_aggregate_search_mode(
             &group_by,
             &input,
             &mut aggr_expr,
@@ -567,7 +567,7 @@ impl AggregateExec {
             metrics: ExecutionPlanMetricsSet::new(),
             required_input_ordering,
             limit: None,
-            partition_search_mode,
+            input_order_mode,
             output_ordering,
         })
     }
@@ -767,8 +767,8 @@ impl DisplayAs for AggregateExec {
                     write!(f, ", lim=[{limit}]")?;
                 }
 
-                if self.partition_search_mode != PartitionSearchMode::Linear {
-                    write!(f, ", ordering_mode={:?}", self.partition_search_mode)?;
+                if self.input_order_mode != InputOrderMode::Linear {
+                    write!(f, ", ordering_mode={:?}", self.input_order_mode)?;
                 }
             }
         }
@@ -819,7 +819,7 @@ impl ExecutionPlan for AggregateExec {
     /// infinite, returns an error to indicate this.
     fn unbounded_output(&self, children: &[bool]) -> Result<bool> {
         if children[0] {
-            if self.partition_search_mode == PartitionSearchMode::Linear {
+            if self.input_order_mode == InputOrderMode::Linear {
                 // Cannot run without breaking pipeline.
                 plan_err!(
                     "Aggregate Error: `GROUP BY` clauses with columns without ordering and GROUPING SETS are not supported for unbounded inputs."

datafusion/physical-plan/src/aggregates/order/mod.rs

@@ -23,7 +23,7 @@ use datafusion_physical_expr::{EmitTo, PhysicalSortExpr};
 mod full;
 mod partial;
 
-use crate::windows::PartitionSearchMode;
+use crate::InputOrderMode;
 pub(crate) use full::GroupOrderingFull;
 pub(crate) use partial::GroupOrderingPartial;
 
@@ -42,18 +42,16 @@ impl GroupOrdering {
     /// Create a `GroupOrdering` for the the specified ordering
     pub fn try_new(
         input_schema: &Schema,
-        mode: &PartitionSearchMode,
+        mode: &InputOrderMode,
         ordering: &[PhysicalSortExpr],
     ) -> Result<Self> {
         match mode {
-            PartitionSearchMode::Linear => Ok(GroupOrdering::None),
-            PartitionSearchMode::PartiallySorted(order_indices) => {
+            InputOrderMode::Linear => Ok(GroupOrdering::None),
+            InputOrderMode::PartiallySorted(order_indices) => {
                 GroupOrderingPartial::try_new(input_schema, order_indices, ordering)
                     .map(GroupOrdering::Partial)
             }
-            PartitionSearchMode::Sorted => {
-                Ok(GroupOrdering::Full(GroupOrderingFull::new()))
-            }
+            InputOrderMode::Sorted => Ok(GroupOrdering::Full(GroupOrderingFull::new())),
         }
     }
 

datafusion/physical-plan/src/aggregates/row_hash.rs

@@ -346,7 +346,7 @@ impl GroupedHashAggregateStream {
             .find_longest_permutation(&agg_group_by.output_exprs());
         let group_ordering = GroupOrdering::try_new(
             &group_schema,
-            &agg.partition_search_mode,
+            &agg.input_order_mode,
             ordering.as_slice(),
         )?;
 

datafusion/physical-plan/src/lib.rs

@@ -58,6 +58,7 @@ pub mod joins;
 pub mod limit;
 pub mod memory;
 pub mod metrics;
+mod ordering;
 pub mod projection;
 pub mod repartition;
 pub mod sorts;
@@ -72,6 +73,7 @@ pub mod windows;
 
 pub use crate::display::{DefaultDisplay, DisplayAs, DisplayFormatType, VerboseDisplay};
 pub use crate::metrics::Metric;
+pub use crate::ordering::InputOrderMode;
 pub use crate::topk::TopK;
 pub use crate::visitor::{accept, visit_execution_plan, ExecutionPlanVisitor};
 

datafusion/physical-plan/src/ordering.rs

@@ -0,0 +1,51 @@
+// Licensed to the Apache Software Foundation (ASF) under one
+// or more contributor license agreements.  See the NOTICE file
+// distributed with this work for additional information
+// regarding copyright ownership.  The ASF licenses this file
+// to you under the Apache License, Version 2.0 (the
+// "License"); you may not use this file except in compliance
+// with the License.  You may obtain a copy of the License at
+//
+//   http://www.apache.org/licenses/LICENSE-2.0
+//
+// Unless required by applicable law or agreed to in writing,
+// software distributed under the License is distributed on an
+// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+// KIND, either express or implied.  See the License for the
+// specific language governing permissions and limitations
+// under the License.
+
+/// Specifies how the input to an aggregation or window operator is ordered
+/// relative to their `GROUP BY` or  `PARTITION BY` expressions.
+///
+/// For example, if the existing ordering is `[a ASC, b ASC, c ASC]`
+///
+/// ## Window Functions
+/// - A `PARTITION BY b` clause can use `Linear` mode.
+/// - A `PARTITION BY a, c` or a `PARTITION BY c, a` can use
+///   `PartiallySorted([0])` or `PartiallySorted([1])` modes, respectively.
+///   (The vector stores the index of `a` in the respective PARTITION BY expression.)
+/// - A `PARTITION BY a, b` or a `PARTITION BY b, a` can use `Sorted` mode.
+///
+/// ## Aggregations
+/// - A `GROUP BY b` clause can use `Linear` mode.
+/// - A `GROUP BY a, c` or a `GROUP BY BY c, a` can use
+///   `PartiallySorted([0])` or `PartiallySorted([1])` modes, respectively.
+///   (The vector stores the index of `a` in the respective PARTITION BY expression.)
+/// - A `GROUP BY a, b` or a `GROUP BY b, a` can use `Sorted` mode.
+///
+/// Note these are the same examples as above, but with `GROUP BY` instead of
+/// `PARTITION BY` to make the examples easier to read.
+#[derive(Debug, Clone, PartialEq)]
+pub enum InputOrderMode {
+    /// There is no partial permutation of the expressions satisfying the
+    /// existing ordering.
+    Linear,
+    /// There is a partial permutation of the expressions satisfying the
+    /// existing ordering. Indices describing the longest partial permutation
+    /// are stored in the vector.
+    PartiallySorted(Vec<usize>),
+    /// There is a (full) permutation of the expressions satisfying the
+    /// existing ordering.
+    Sorted,
+}