Provide user-defined invariants for logical node extensions.

datafusion/core/tests/user_defined/user_defined_plan.rs

@@ -59,6 +59,7 @@
 //!
 
 use std::fmt::Debug;
+use std::hash::Hash;
 use std::task::{Context, Poll};
 use std::{any::Any, collections::BTreeMap, fmt, sync::Arc};
 
@@ -93,7 +94,7 @@ use datafusion::{
 use datafusion_common::config::ConfigOptions;
 use datafusion_common::tree_node::{Transformed, TransformedResult, TreeNode};
 use datafusion_common::ScalarValue;
-use datafusion_expr::{FetchType, Projection, SortExpr};
+use datafusion_expr::{FetchType, InvariantLevel, Projection, SortExpr};
 use datafusion_optimizer::optimizer::ApplyOrder;
 use datafusion_optimizer::AnalyzerRule;
 use datafusion_physical_plan::execution_plan::{Boundedness, EmissionType};
@@ -295,20 +296,175 @@ async fn topk_plan() -> Result<()> {
     Ok(())
 }
 
+#[tokio::test]
+/// Run invariant checks on the logical plan extension [`TopKPlanNode`].
+async fn topk_invariants() -> Result<()> {
+    // Test: pass an InvariantLevel::Always
+    let pass = InvariantMock {
+        should_fail_invariant: false,
+        kind: InvariantLevel::Always,
+    };
+    let ctx = setup_table(make_topk_context_with_invariants(Some(pass))).await?;
+    run_and_compare_query(ctx, "Topk context").await?;
+
+    // Test: fail an InvariantLevel::Always
+    let fail = InvariantMock {
+        should_fail_invariant: true,
+        kind: InvariantLevel::Always,
+    };
+    let ctx = setup_table(make_topk_context_with_invariants(Some(fail))).await?;
+    matches!(
+        &*run_and_compare_query(ctx, "Topk context")
+            .await
+            .unwrap_err()
+            .message(),
+        "node fails check, such as improper inputs"
+    );
+
+    // Test: pass an InvariantLevel::Executable
+    let pass = InvariantMock {
+        should_fail_invariant: false,
+        kind: InvariantLevel::Executable,
+    };
+    let ctx = setup_table(make_topk_context_with_invariants(Some(pass))).await?;
+    run_and_compare_query(ctx, "Topk context").await?;
+
+    // Test: fail an InvariantLevel::Executable
+    let fail = InvariantMock {
+        should_fail_invariant: true,
+        kind: InvariantLevel::Executable,
+    };
+    let ctx = setup_table(make_topk_context_with_invariants(Some(fail))).await?;
+    matches!(
+        &*run_and_compare_query(ctx, "Topk context")
+            .await
+            .unwrap_err()
+            .message(),
+        "node fails check, such as improper inputs"
+    );
+
+    Ok(())
+}
+
+#[tokio::test]
+async fn topk_invariants_after_invalid_mutation() -> Result<()> {
+    // CONTROL
+    // Build a valid topK plan.
+    let config = SessionConfig::new().with_target_partitions(48);
+    let runtime = Arc::new(RuntimeEnv::default());
+    let state = SessionStateBuilder::new()
+        .with_config(config)
+        .with_runtime_env(runtime)
+        .with_default_features()
+        .with_query_planner(Arc::new(TopKQueryPlanner {}))
+        // 1. adds a valid TopKPlanNode
+        .with_optimizer_rule(Arc::new(TopKOptimizerRule {
+            invariant_mock: Some(InvariantMock {
+                should_fail_invariant: false,
+                kind: InvariantLevel::Always,
+            }),
+        }))
+        .with_analyzer_rule(Arc::new(MyAnalyzerRule {}))
+        .build();
+    let ctx = setup_table(SessionContext::new_with_state(state)).await?;
+    run_and_compare_query(ctx, "Topk context").await?;
+
+    // Test
+    // Build a valid topK plan.
+    // Then have an invalid mutation in an optimizer run.
+    let config = SessionConfig::new().with_target_partitions(48);
+    let runtime = Arc::new(RuntimeEnv::default());
+    let state = SessionStateBuilder::new()
+        .with_config(config)
+        .with_runtime_env(runtime)
+        .with_default_features()
+        .with_query_planner(Arc::new(TopKQueryPlanner {}))
+        // 1. adds a valid TopKPlanNode
+        .with_optimizer_rule(Arc::new(TopKOptimizerRule {
+            invariant_mock: Some(InvariantMock {
+                should_fail_invariant: false,
+                kind: InvariantLevel::Always,
+            }),
+        }))
+        // 2. break the TopKPlanNode
+        .with_optimizer_rule(Arc::new(OptimizerMakeExtensionNodeInvalid {}))
+        .with_analyzer_rule(Arc::new(MyAnalyzerRule {}))
+        .build();
+    let ctx = setup_table(SessionContext::new_with_state(state)).await?;
+    matches!(
+        &*run_and_compare_query(ctx, "Topk context")
+            .await
+            .unwrap_err()
+            .message(),
+        "node fails check, such as improper inputs"
+    );
+
+    Ok(())
+}
+
 fn make_topk_context() -> SessionContext {
+    make_topk_context_with_invariants(None)
+}
+
+fn make_topk_context_with_invariants(
+    invariant_mock: Option<InvariantMock>,
+) -> SessionContext {
     let config = SessionConfig::new().with_target_partitions(48);
     let runtime = Arc::new(RuntimeEnv::default());
     let state = SessionStateBuilder::new()
         .with_config(config)
         .with_runtime_env(runtime)
         .with_default_features()
         .with_query_planner(Arc::new(TopKQueryPlanner {}))
-        .with_optimizer_rule(Arc::new(TopKOptimizerRule {}))
+        .with_optimizer_rule(Arc::new(TopKOptimizerRule { invariant_mock }))
         .with_analyzer_rule(Arc::new(MyAnalyzerRule {}))
         .build();
     SessionContext::new_with_state(state)
 }
 
+#[derive(Debug)]
+struct OptimizerMakeExtensionNodeInvalid;
+
+impl OptimizerRule for OptimizerMakeExtensionNodeInvalid {
+    fn name(&self) -> &str {
+        "OptimizerMakeExtensionNodeInvalid"
+    }
+
+    fn apply_order(&self) -> Option<ApplyOrder> {
+        Some(ApplyOrder::TopDown)
+    }
+
+    fn supports_rewrite(&self) -> bool {
+        true
+    }
+
+    // Example rewrite pass which impacts validity of the extension node.
+    fn rewrite(
+        &self,
+        plan: LogicalPlan,
+        _config: &dyn OptimizerConfig,
+    ) -> Result<Transformed<LogicalPlan>, DataFusionError> {
+        if let LogicalPlan::Extension(Extension { node }) = &plan {
+            if let Some(prev) = node.as_any().downcast_ref::<TopKPlanNode>() {
+                return Ok(Transformed::yes(LogicalPlan::Extension(Extension {
+                    node: Arc::new(TopKPlanNode {
+                        k: prev.k,
+                        input: prev.input.clone(),
+                        expr: prev.expr.clone(),
+                        // In a real use case, this rewriter could have change the number of inputs, etc
+                        invariant_mock: Some(InvariantMock {
+                            should_fail_invariant: true,
+                            kind: InvariantLevel::Always,
+                        }),
+                    }),
+                })));
+            }
+        };
+
+        Ok(Transformed::no(plan))
+    }
+}
+
 // ------ The implementation of the TopK code follows -----
 
 #[derive(Debug)]
@@ -336,7 +492,10 @@ impl QueryPlanner for TopKQueryPlanner {
 }
 
 #[derive(Default, Debug)]
-struct TopKOptimizerRule {}
+struct TopKOptimizerRule {
+    /// A testing-only hashable fixture.
+    invariant_mock: Option<InvariantMock>,
+}
 
 impl OptimizerRule for TopKOptimizerRule {
     fn name(&self) -> &str {
@@ -380,6 +539,7 @@ impl OptimizerRule for TopKOptimizerRule {
                         k: fetch,
                         input: input.as_ref().clone(),
                         expr: expr[0].clone(),
+                        invariant_mock: self.invariant_mock.clone(),
                     }),
                 })));
             }
@@ -396,6 +556,10 @@ struct TopKPlanNode {
     /// The sort expression (this example only supports a single sort
     /// expr)
     expr: SortExpr,
+
+    /// A testing-only hashable fixture.
+    /// For actual use, define the [`Invariant`] in the [`UserDefinedLogicalNodeCore::invariants`].
+    invariant_mock: Option<InvariantMock>,
 }
 
 impl Debug for TopKPlanNode {
@@ -406,6 +570,12 @@ impl Debug for TopKPlanNode {
     }
 }
 
+#[derive(Debug, Clone, PartialEq, Eq, PartialOrd, Hash)]
+struct InvariantMock {
+    should_fail_invariant: bool,
+    kind: InvariantLevel,
+}
+
 impl UserDefinedLogicalNodeCore for TopKPlanNode {
     fn name(&self) -> &str {
         "TopK"
@@ -420,6 +590,19 @@ impl UserDefinedLogicalNodeCore for TopKPlanNode {
         self.input.schema()
     }
 
+    fn check_invariants(&self, check: InvariantLevel, _plan: &LogicalPlan) -> Result<()> {
+        if let Some(InvariantMock {
+            should_fail_invariant,
+            kind,
+        }) = self.invariant_mock.clone()
+        {
+            if should_fail_invariant && check == kind {
+                return internal_err!("node fails check, such as improper inputs");
+            }
+        }
+        Ok(())
+    }
+
     fn expressions(&self) -> Vec<Expr> {
         vec![self.expr.expr.clone()]
     }
@@ -440,6 +623,7 @@ impl UserDefinedLogicalNodeCore for TopKPlanNode {
             k: self.k,
             input: inputs.swap_remove(0),
             expr: self.expr.with_expr(exprs.swap_remove(0)),
+            invariant_mock: self.invariant_mock.clone(),
         })
     }
 

datafusion/expr/src/logical_plan/extension.rs

@@ -22,6 +22,8 @@ use std::cmp::Ordering;
 use std::hash::{Hash, Hasher};
 use std::{any::Any, collections::HashSet, fmt, sync::Arc};
 
+use super::InvariantLevel;
+
 /// This defines the interface for [`LogicalPlan`] nodes that can be
 /// used to extend DataFusion with custom relational operators.
 ///
@@ -54,6 +56,9 @@ pub trait UserDefinedLogicalNode: fmt::Debug + Send + Sync {
     /// Return the output schema of this logical plan node.
     fn schema(&self) -> &DFSchemaRef;
 
+    /// Perform check of invariants for the extension node.
+    fn check_invariants(&self, check: InvariantLevel, plan: &LogicalPlan) -> Result<()>;
+
     /// Returns all expressions in the current logical plan node. This should
     /// not include expressions of any inputs (aka non-recursively).
     ///
@@ -244,6 +249,17 @@ pub trait UserDefinedLogicalNodeCore:
     /// Return the output schema of this logical plan node.
     fn schema(&self) -> &DFSchemaRef;
 
+    /// Perform check of invariants for the extension node.
+    ///
+    /// This is the default implementation for extension nodes.
+    fn check_invariants(
+        &self,
+        _check: InvariantLevel,
+        _plan: &LogicalPlan,
+    ) -> Result<()> {
+        Ok(())
+    }
+
     /// Returns all expressions in the current logical plan node. This
     /// should not include expressions of any inputs (aka
     /// non-recursively). These expressions are used for optimizer
@@ -336,6 +352,10 @@ impl<T: UserDefinedLogicalNodeCore> UserDefinedLogicalNode for T {
         self.schema()
     }
 
+    fn check_invariants(&self, check: InvariantLevel, plan: &LogicalPlan) -> Result<()> {
+        self.check_invariants(check, plan)
+    }
+
     fn expressions(&self) -> Vec<Expr> {
         self.expressions()
     }

datafusion/expr/src/logical_plan/invariants.rs

@@ -28,6 +28,9 @@ use crate::{
     Aggregate, Expr, Filter, Join, JoinType, LogicalPlan, Window,
 };
 
+use super::Extension;
+
+#[derive(Debug, Copy, Clone, PartialEq, Eq, PartialOrd, Hash)]
 pub enum InvariantLevel {
     /// Invariants that are always true in DataFusion `LogicalPlan`s
     /// such as the number of expected children and no duplicated output fields
@@ -41,19 +44,56 @@ pub enum InvariantLevel {
     Executable,
 }
 
-pub fn assert_always_invariants(plan: &LogicalPlan) -> Result<()> {
+/// Apply the [`InvariantLevel::Always`] check at the current plan node only.
+///
+/// This does not recurs to any child nodes.
+pub fn assert_always_invariants_at_current_node(plan: &LogicalPlan) -> Result<()> {
     // Refer to <https://datafusion.apache.org/contributor-guide/specification/invariants.html#relation-name-tuples-in-logical-fields-and-logical-columns-are-unique>
     assert_unique_field_names(plan)?;
 
     Ok(())
 }
 
+/// Visit the plan nodes, and confirm the [`InvariantLevel::Executable`]
+/// as well as the less stringent [`InvariantLevel::Always`] checks.
 pub fn assert_executable_invariants(plan: &LogicalPlan) -> Result<()> {
-    assert_always_invariants(plan)?;
+    // Always invariants
+    assert_always_invariants_at_current_node(plan)?;
+    assert_valid_extension_nodes(plan, InvariantLevel::Always)?;
+
+    // Executable invariants
+    assert_valid_extension_nodes(plan, InvariantLevel::Executable)?;
     assert_valid_semantic_plan(plan)?;
     Ok(())
 }
 
+/// Asserts that the query plan, and subplan, extension nodes have valid invariants.
+///
+/// Refer to [`UserDefinedLogicalNode::check_invariants`](super::UserDefinedLogicalNode)
+/// for more details of user-provided extension node invariants.
+fn assert_valid_extension_nodes(plan: &LogicalPlan, check: InvariantLevel) -> Result<()> {
+    plan.apply_with_subqueries(|plan: &LogicalPlan| {
+        if let LogicalPlan::Extension(Extension { node }) = plan {
+            node.check_invariants(check, plan)?;
+        }
+        plan.apply_expressions(|expr| {
+            // recursively look for subqueries
+            expr.apply(|expr| {
+                match expr {
+                    Expr::Exists(Exists { subquery, .. })
+                    | Expr::InSubquery(InSubquery { subquery, .. })
+                    | Expr::ScalarSubquery(subquery) => {
+                        assert_valid_extension_nodes(&subquery.subquery, check)?;
+                    }
+                    _ => {}
+                };
+                Ok(TreeNodeRecursion::Continue)
+            })
+        })
+    })
+    .map(|_| ())
+}
+
 /// Returns an error if plan, and subplans, do not have unique fields.
 ///
 /// This invariant is subject to change.
@@ -87,7 +127,7 @@ pub fn assert_expected_schema(schema: &DFSchemaRef, plan: &LogicalPlan) -> Resul
 
 /// Asserts that the subqueries are structured properly with valid node placement.
 ///
-/// Refer to [`check_subquery_expr`] for more details.
+/// Refer to [`check_subquery_expr`] for more details of the internal invariants.
 fn assert_subqueries_are_valid(plan: &LogicalPlan) -> Result<()> {
     plan.apply_with_subqueries(|plan: &LogicalPlan| {
         plan.apply_expressions(|expr| {