Testing the asserted cause of iox issue 13310.

datafusion/common/src/config.rs

@@ -305,7 +305,7 @@ config_namespace! {
         ///
         /// This is used to workaround bugs in the planner that are now caught by
         /// the new schema verification step.
-        pub skip_physical_aggregate_schema_check: bool, default = false
+        pub skip_physical_aggregate_schema_check: bool, default = true
 
         /// Specifies the reserved memory for each spillable sort operation to
         /// facilitate an in-memory merge.

datafusion/core/src/datasource/physical_plan/arrow_file.rs

@@ -311,6 +311,7 @@ impl FileOpener for ArrowOpener {
                     {
                         decoder.read_dictionary(
                             dict_block,
+                            #[allow(deprecated)]
                             &Buffer::from_bytes(dict_result.into()),
                         )?;
                     }
@@ -350,6 +351,7 @@ impl FileOpener for ArrowOpener {
                                 decoder
                                     .read_record_batch(
                                         &block,
+                                        #[allow(deprecated)]
                                         &Buffer::from_bytes(data.into()),
                                     )
                                     .transpose()

datafusion/core/src/physical_planner.rs

@@ -693,6 +693,9 @@ impl DefaultPhysicalPlanner {
                             differences.push(format!("field nullability at index {} [{}]: (physical) {} vs (logical) {}", i, physical_field.name(), physical_field.is_nullable(), logical_field.is_nullable()));
                         }
                     }
+
+                    log::warn!("Physical input schema should be the same as the one converted from logical input schema, but did not match for logical plan:\n{}", input.display_indent());
+
                     return internal_err!("Physical input schema should be the same as the one converted from logical input schema. Differences: {}", differences
                         .iter()
                         .map(|s| format!("\n\t- {}", s))

datafusion/optimizer/src/unwrap_cast_in_comparison.rs

@@ -25,6 +25,7 @@ use crate::optimizer::ApplyOrder;
 use crate::{OptimizerConfig, OptimizerRule};
 
 use crate::utils::NamePreserver;
+#[allow(deprecated)]
 use arrow::datatypes::{
     DataType, TimeUnit, MAX_DECIMAL_FOR_EACH_PRECISION, MIN_DECIMAL_FOR_EACH_PRECISION,
 };
@@ -369,7 +370,9 @@ fn try_cast_numeric_literal(
             // Different precision for decimal128 can store different range of value.
             // For example, the precision is 3, the max of value is `999` and the min
             // value is `-999`
+            #[allow(deprecated)]
             MIN_DECIMAL_FOR_EACH_PRECISION[*precision as usize - 1],
+            #[allow(deprecated)]
             MAX_DECIMAL_FOR_EACH_PRECISION[*precision as usize - 1],
         ),
         _ => return None,

datafusion/physical-plan/src/union.rs

@@ -499,31 +499,42 @@ pub fn can_interleave<T: Borrow<Arc<dyn ExecutionPlan>>>(
 }
 
 fn union_schema(inputs: &[Arc<dyn ExecutionPlan>]) -> SchemaRef {
-    let first_schema = inputs[0].schema();
+    // needs to handle n children, including child which have an empty projection or different number of fields
+    let num_fields = inputs.iter().fold(0, |acc, input| {
+        std::cmp::max(acc, input.schema().fields().len())
+    });
 
-    let fields = (0..first_schema.fields().len())
+    let fields: Vec<Field> = (0..num_fields)
         .map(|i| {
-            inputs
-                .iter()
-                .enumerate()
-                .map(|(input_idx, input)| {
-                    let field = input.schema().field(i).clone();
-                    let mut metadata = field.metadata().clone();
+            // collect fields for i
+            let field_options_for_i =
+                inputs.iter().enumerate().filter_map(|(input_idx, input)| {
+                    let field = if input.schema().fields().len() <= i {
+                        return None;
+                    } else {
+                        input.schema().field(i).clone()
+                    };
 
+                    // merge field metadata
+                    let mut metadata = field.metadata().clone();
                     let other_metadatas = inputs
                         .iter()
                         .enumerate()
-                        .filter(|(other_idx, _)| *other_idx != input_idx)
+                        .filter(|(other_idx, other_input)| {
+                            *other_idx != input_idx
+                                && other_input.schema().fields().len() > i
+                        })
                         .flat_map(|(_, other_input)| {
                             other_input.schema().field(i).metadata().clone().into_iter()
                         });
-
                     metadata.extend(other_metadatas);
-                    field.with_metadata(metadata)
-                })
+                    Some(field.with_metadata(metadata))
+                });
+
+            // pick first nullable field (if exists)
+            field_options_for_i
                 .find_or_first(Field::is_nullable)
-                // We can unwrap this because if inputs was empty, this would've already panic'ed when we
-                // indexed into inputs[0].
+                // We can unwrap this because if inputs was empty, we would never had iterated with (0..num_fields)
                 .unwrap()
         })
         .collect::<Vec<_>>();

datafusion/sqllogictest/test_files/information_schema.slt

@@ -223,7 +223,7 @@ datafusion.execution.parquet.writer_version 1.0
 datafusion.execution.planning_concurrency 13
 datafusion.execution.skip_partial_aggregation_probe_ratio_threshold 0.8
 datafusion.execution.skip_partial_aggregation_probe_rows_threshold 100000
-datafusion.execution.skip_physical_aggregate_schema_check false
+datafusion.execution.skip_physical_aggregate_schema_check true
 datafusion.execution.soft_max_rows_per_output_file 50000000
 datafusion.execution.sort_in_place_threshold_bytes 1048576
 datafusion.execution.sort_spill_reservation_bytes 10485760
@@ -317,7 +317,7 @@ datafusion.execution.parquet.writer_version 1.0 (writing) Sets parquet writer ve
 datafusion.execution.planning_concurrency 13 Fan-out during initial physical planning. This is mostly use to plan `UNION` children in parallel. Defaults to the number of CPU cores on the system
 datafusion.execution.skip_partial_aggregation_probe_ratio_threshold 0.8 Aggregation ratio (number of distinct groups / number of input rows) threshold for skipping partial aggregation. If the value is greater then partial aggregation will skip aggregation for further input
 datafusion.execution.skip_partial_aggregation_probe_rows_threshold 100000 Number of input rows partial aggregation partition should process, before aggregation ratio check and trying to switch to skipping aggregation mode
-datafusion.execution.skip_physical_aggregate_schema_check false When set to true, skips verifying that the schema produced by planning the input of `LogicalPlan::Aggregate` exactly matches the schema of the input plan. When set to false, if the schema does not match exactly (including nullability and metadata), a planning error will be raised. This is used to workaround bugs in the planner that are now caught by the new schema verification step.
+datafusion.execution.skip_physical_aggregate_schema_check true When set to true, skips verifying that the schema produced by planning the input of `LogicalPlan::Aggregate` exactly matches the schema of the input plan. When set to false, if the schema does not match exactly (including nullability and metadata), a planning error will be raised. This is used to workaround bugs in the planner that are now caught by the new schema verification step.
 datafusion.execution.soft_max_rows_per_output_file 50000000 Target number of rows in output files when writing multiple. This is a soft max, so it can be exceeded slightly. There also will be one file smaller than the limit if the total number of rows written is not roughly divisible by the soft max
 datafusion.execution.sort_in_place_threshold_bytes 1048576 When sorting, below what size should data be concatenated and sorted in a single RecordBatch rather than sorted in batches and merged.
 datafusion.execution.sort_spill_reservation_bytes 10485760 Specifies the reserved memory for each spillable sort operation to facilitate an in-memory merge. When a sort operation spills to disk, the in-memory data must be sorted and merged before being written to a file. This setting reserves a specific amount of memory for that in-memory sort/merge process. Note: This setting is irrelevant if the sort operation cannot spill (i.e., if there's no `DiskManager` configured).

docs/source/user-guide/configs.md

@@ -80,7 +80,7 @@ Environment variables are read during `SessionConfig` initialisation so they mus
 | datafusion.execution.parquet.maximum_parallel_row_group_writers         | 1                         | (writing) By default parallel parquet writer is tuned for minimum memory usage in a streaming execution plan. You may see a performance benefit when writing large parquet files by increasing maximum_parallel_row_group_writers and maximum_buffered_record_batches_per_stream if your system has idle cores and can tolerate additional memory usage. Boosting these values is likely worthwhile when writing out already in-memory data, such as from a cached data frame.                                                                                           |
 | datafusion.execution.parquet.maximum_buffered_record_batches_per_stream | 2                         | (writing) By default parallel parquet writer is tuned for minimum memory usage in a streaming execution plan. You may see a performance benefit when writing large parquet files by increasing maximum_parallel_row_group_writers and maximum_buffered_record_batches_per_stream if your system has idle cores and can tolerate additional memory usage. Boosting these values is likely worthwhile when writing out already in-memory data, such as from a cached data frame.                                                                                           |
 | datafusion.execution.planning_concurrency                               | 0                         | Fan-out during initial physical planning. This is mostly use to plan `UNION` children in parallel. Defaults to the number of CPU cores on the system                                                                                                                                                                                                                                                                                                                                                                                                                     |
-| datafusion.execution.skip_physical_aggregate_schema_check               | false                     | When set to true, skips verifying that the schema produced by planning the input of `LogicalPlan::Aggregate` exactly matches the schema of the input plan. When set to false, if the schema does not match exactly (including nullability and metadata), a planning error will be raised. This is used to workaround bugs in the planner that are now caught by the new schema verification step.                                                                                                                                                                        |
+| datafusion.execution.skip_physical_aggregate_schema_check               | true                      | When set to true, skips verifying that the schema produced by planning the input of `LogicalPlan::Aggregate` exactly matches the schema of the input plan. When set to false, if the schema does not match exactly (including nullability and metadata), a planning error will be raised. This is used to workaround bugs in the planner that are now caught by the new schema verification step.                                                                                                                                                                        |
 | datafusion.execution.sort_spill_reservation_bytes                       | 10485760                  | Specifies the reserved memory for each spillable sort operation to facilitate an in-memory merge. When a sort operation spills to disk, the in-memory data must be sorted and merged before being written to a file. This setting reserves a specific amount of memory for that in-memory sort/merge process. Note: This setting is irrelevant if the sort operation cannot spill (i.e., if there's no `DiskManager` configured).                                                                                                                                        |
 | datafusion.execution.sort_in_place_threshold_bytes                      | 1048576                   | When sorting, below what size should data be concatenated and sorted in a single RecordBatch rather than sorted in batches and merged.                                                                                                                                                                                                                                                                                                                                                                                                                                   |
 | datafusion.execution.meta_fetch_concurrency                             | 32                        | Number of files to read in parallel when inferring schema and statistics                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 |