Add Parquet read pruning configuration for max elements in inList

datafusion-examples/examples/data_io/parquet_advanced_index.rs

@@ -48,7 +48,7 @@ use datafusion::parquet::file::properties::{EnabledStatistics, WriterProperties}
 use datafusion::parquet::schema::types::ColumnPath;
 use datafusion::physical_expr::PhysicalExpr;
 use datafusion::physical_expr::utils::{Guarantee, LiteralGuarantee};
-use datafusion::physical_optimizer::pruning::PruningPredicate;
+use datafusion::physical_optimizer::pruning::{PruningPredicate, PruningPredicateConfig};
 use datafusion::physical_plan::ExecutionPlan;
 use datafusion::physical_plan::metrics::ExecutionPlanMetricsSet;
 use datafusion::prelude::*;
@@ -301,8 +301,11 @@ impl IndexTableProvider {
         // In this example, we use the PruningPredicate's literal guarantees to
         // analyze the predicate. In a real system, using
         // `PruningPredicate::prune` would likely be easier to do.
-        let pruning_predicate =
-            PruningPredicate::try_new(Arc::clone(predicate), self.schema())?;
+        let pruning_predicate = PruningPredicate::try_new(
+            Arc::clone(predicate),
+            self.schema(),
+            &PruningPredicateConfig::default(),
+        )?;
 
         // The PruningPredicate's guarantees must all be satisfied in order for
         // the predicate to possibly evaluate to true.

datafusion-examples/examples/data_io/parquet_index.rs

@@ -42,7 +42,7 @@ use datafusion::parquet::arrow::{
     ArrowWriter, arrow_reader::ParquetRecordBatchReaderBuilder,
 };
 use datafusion::physical_expr::PhysicalExpr;
-use datafusion::physical_optimizer::pruning::PruningPredicate;
+use datafusion::physical_optimizer::pruning::{PruningPredicate, PruningPredicateConfig};
 use datafusion::physical_plan::ExecutionPlan;
 use datafusion::prelude::*;
 use std::any::Any;
@@ -367,8 +367,11 @@ impl ParquetMetadataIndex {
     ) -> Result<Vec<(&str, u64)>> {
         // Use the PruningPredicate API to determine which files can not
         // possibly have any relevant data.
-        let pruning_predicate =
-            PruningPredicate::try_new(predicate, self.schema().clone())?;
+        let pruning_predicate = PruningPredicate::try_new(
+            predicate,
+            self.schema().clone(),
+            &PruningPredicateConfig::default(),
+        )?;
 
         // Now evaluate the pruning predicate into a boolean mask, one element per
         // file in the index. If the mask is true, the file may have rows that

datafusion-examples/examples/query_planning/pruning.rs

@@ -27,7 +27,7 @@ use datafusion::common::{DFSchema, ScalarValue};
 use datafusion::error::Result;
 use datafusion::execution::context::ExecutionProps;
 use datafusion::physical_expr::create_physical_expr;
-use datafusion::physical_optimizer::pruning::PruningPredicate;
+use datafusion::physical_optimizer::pruning::{PruningPredicate, PruningPredicateConfig};
 use datafusion::prelude::*;
 
 /// This example shows how to use  DataFusion's `PruningPredicate` to prove
@@ -195,7 +195,12 @@ fn create_pruning_predicate(expr: Expr, schema: &SchemaRef) -> PruningPredicate
     let df_schema = DFSchema::try_from(Arc::clone(schema)).unwrap();
     let props = ExecutionProps::new();
     let physical_expr = create_physical_expr(&expr, &df_schema, &props).unwrap();
-    PruningPredicate::try_new(physical_expr, Arc::clone(schema)).unwrap()
+    PruningPredicate::try_new(
+        physical_expr,
+        Arc::clone(schema),
+        &PruningPredicateConfig::default(),
+    )
+    .unwrap()
 }
 
 fn i32_array<'a>(values: impl Iterator<Item = &'a Option<i32>>) -> ArrayRef {

datafusion/common/src/config.rs

@@ -691,6 +691,11 @@ config_namespace! {
         /// the parquet file
         pub pruning: bool, default = true
 
+        /// (reading) Maximum number of elements (inclusive) in InList exprs to be eligible for pruning.
+        /// When some InList exprs contain more than this threshold, these expressions are ignored during pruning,
+        /// but other expressions may still be used for pruning.
+        pub pruning_max_inlist_limit: usize, default = 20
+
         /// (reading) If true, the parquet reader skip the optional embedded metadata that may be in
         /// the file Schema. This setting can help avoid schema conflicts when querying
         /// multiple parquet files with schemas containing compatible types but different metadata

datafusion/common/src/file_options/parquet_writer.rs

@@ -195,6 +195,7 @@ impl ParquetOptions {
             // not in WriterProperties
             enable_page_index: _,
             pruning: _,
+            pruning_max_inlist_limit: _,
             skip_metadata: _,
             metadata_size_hint: _,
             pushdown_filters: _,
@@ -444,6 +445,7 @@ mod tests {
             // not in WriterProperties, but itemizing here to not skip newly added props
             enable_page_index: defaults.enable_page_index,
             pruning: defaults.pruning,
+            pruning_max_inlist_limit: defaults.pruning_max_inlist_limit,
             skip_metadata: defaults.skip_metadata,
             metadata_size_hint: defaults.metadata_size_hint,
             pushdown_filters: defaults.pushdown_filters,
@@ -556,6 +558,8 @@ mod tests {
                 // not in WriterProperties
                 enable_page_index: global_options_defaults.enable_page_index,
                 pruning: global_options_defaults.pruning,
+                pruning_max_inlist_limit: global_options_defaults
+                    .pruning_max_inlist_limit,
                 skip_metadata: global_options_defaults.skip_metadata,
                 metadata_size_hint: global_options_defaults.metadata_size_hint,
                 pushdown_filters: global_options_defaults.pushdown_filters,

datafusion/datasource-parquet/src/opener.rs

@@ -49,7 +49,9 @@ use datafusion_physical_expr_common::physical_expr::{
 use datafusion_physical_plan::metrics::{
     Count, ExecutionPlanMetricsSet, Gauge, MetricBuilder, PruningMetrics,
 };
-use datafusion_pruning::{FilePruner, PruningPredicate, build_pruning_predicate};
+use datafusion_pruning::{
+    FilePruner, PruningPredicate, PruningPredicateConfig, build_pruning_predicate,
+};
 
 use crate::sort::reverse_row_selection;
 #[cfg(feature = "parquet_encryption")]
@@ -104,6 +106,8 @@ pub(super) struct ParquetOpener {
     pub enable_bloom_filter: bool,
     /// Should row group pruning be applied
     pub enable_row_group_stats_pruning: bool,
+    /// Maximum number of elements (inclusive) in InList exprs to be eligible for pruning
+    pub pruning_max_inlist_limit: usize,
     /// Coerce INT96 timestamps to specific TimeUnit
     pub coerce_int96: Option<TimeUnit>,
     /// Optional parquet FileDecryptionProperties
@@ -280,6 +284,9 @@ impl FileOpener for ParquetOpener {
 
         let reverse_row_groups = self.reverse_row_groups;
         let preserve_order = self.preserve_order;
+        let pruning_predicate_config = PruningPredicateConfig {
+            max_in_list: self.pruning_max_inlist_limit,
+        };
 
         Ok(Box::pin(async move {
             #[cfg(feature = "parquet_encryption")]
@@ -326,6 +333,7 @@ impl FileOpener for ParquetOpener {
                         &logical_file_schema,
                         &partitioned_file,
                         predicate_creation_errors.clone(),
+                        pruning_predicate_config.clone(),
                     )
                 });
 
@@ -426,6 +434,7 @@ impl FileOpener for ParquetOpener {
                 predicate.as_ref(),
                 &physical_file_schema,
                 &predicate_creation_errors,
+                &pruning_predicate_config,
             );
 
             // The page index is not stored inline in the parquet footer so the
@@ -513,6 +522,7 @@ impl FileOpener for ParquetOpener {
                         rg_metadata,
                         predicate,
                         &file_metrics,
+                        &pruning_predicate_config,
                     );
                 } else {
                     // Update metrics: statistics unavailable, so all row groups are
@@ -938,17 +948,20 @@ fn create_initial_plan(
 pub(crate) fn build_page_pruning_predicate(
     predicate: &Arc<dyn PhysicalExpr>,
     file_schema: &SchemaRef,
+    config: &PruningPredicateConfig,
 ) -> Arc<PagePruningAccessPlanFilter> {
     Arc::new(PagePruningAccessPlanFilter::new(
         predicate,
         Arc::clone(file_schema),
+        config,
     ))
 }
 
 pub(crate) fn build_pruning_predicates(
     predicate: Option<&Arc<dyn PhysicalExpr>>,
     file_schema: &SchemaRef,
     predicate_creation_errors: &Count,
+    config: &PruningPredicateConfig,
 ) -> (
     Option<Arc<PruningPredicate>>,
     Option<Arc<PagePruningAccessPlanFilter>>,
@@ -960,8 +973,10 @@ pub(crate) fn build_pruning_predicates(
         Arc::clone(predicate),
         file_schema,
         predicate_creation_errors,
+        config,
     );
-    let page_pruning_predicate = build_page_pruning_predicate(predicate, file_schema);
+    let page_pruning_predicate =
+        build_page_pruning_predicate(predicate, file_schema, config);
     (pruning_predicate, Some(page_pruning_predicate))
 }
 

datafusion/datasource-parquet/src/page_filter.rs

@@ -31,7 +31,7 @@ use arrow::{
 use datafusion_common::ScalarValue;
 use datafusion_common::pruning::PruningStatistics;
 use datafusion_physical_expr::{PhysicalExpr, split_conjunction};
-use datafusion_pruning::PruningPredicate;
+use datafusion_pruning::{PruningPredicate, PruningPredicateConfig};
 
 use log::{debug, trace};
 use parquet::arrow::arrow_reader::statistics::StatisticsConverter;
@@ -119,14 +119,19 @@ impl PagePruningAccessPlanFilter {
     /// Create a new [`PagePruningAccessPlanFilter`] from a physical
     /// expression.
     #[expect(clippy::needless_pass_by_value)]
-    pub fn new(expr: &Arc<dyn PhysicalExpr>, schema: SchemaRef) -> Self {
+    pub fn new(
+        expr: &Arc<dyn PhysicalExpr>,
+        schema: SchemaRef,
+        config: &PruningPredicateConfig,
+    ) -> Self {
         // extract any single column predicates
         let predicates = split_conjunction(expr)
             .into_iter()
             .filter_map(|predicate| {
                 let pp = match PruningPredicate::try_new(
                     Arc::clone(predicate),
                     Arc::clone(&schema),
+                    config,
                 ) {
                     Ok(pp) => pp,
                     Err(e) => {