Use DataFusionError instead of ArrowError in SendableRecordBatchStream (

#5101)

* Replace ArrowError with DataFusionError in DF context

* fix comments

datafusion/core/src/physical_plan/aggregates/mod.rs

@@ -722,7 +722,6 @@ mod tests {
     use crate::{assert_batches_sorted_eq, physical_plan::common};
     use arrow::array::{Float64Array, UInt32Array};
     use arrow::datatypes::{DataType, Field, Schema, SchemaRef};
-    use arrow::error::Result as ArrowResult;
     use arrow::record_batch::RecordBatch;
     use datafusion_common::{DataFusionError, Result, ScalarValue};
     use datafusion_physical_expr::expressions::{lit, ApproxDistinct, Count, Median};
@@ -1038,7 +1037,7 @@ mod tests {
     }
 
     impl Stream for TestYieldingStream {
-        type Item = ArrowResult<RecordBatch>;
+        type Item = Result<RecordBatch>;
 
         fn poll_next(
             mut self: std::pin::Pin<&mut Self>,

datafusion/core/src/physical_plan/aggregates/no_grouping.rs

@@ -25,7 +25,6 @@ use crate::physical_plan::aggregates::{
 use crate::physical_plan::metrics::{BaselineMetrics, RecordOutput};
 use crate::physical_plan::{RecordBatchStream, SendableRecordBatchStream};
 use arrow::datatypes::SchemaRef;
-use arrow::error::{ArrowError, Result as ArrowResult};
 use arrow::record_batch::RecordBatch;
 use datafusion_common::Result;
 use datafusion_physical_expr::{AggregateExpr, PhysicalExpr};
@@ -38,7 +37,7 @@ use futures::stream::{Stream, StreamExt};
 
 /// stream struct for aggregation without grouping columns
 pub(crate) struct AggregateStream {
-    stream: BoxStream<'static, ArrowResult<RecordBatch>>,
+    stream: BoxStream<'static, Result<RecordBatch>>,
     schema: SchemaRef,
 }
 
@@ -112,17 +111,17 @@ impl AggregateStream {
                             .and_then(|allocated| this.reservation.try_grow(allocated))
                         {
                             Ok(_) => continue,
-                            Err(e) => Err(ArrowError::ExternalError(Box::new(e))),
+                            Err(e) => Err(e),
                         }
                     }
                     Some(Err(e)) => Err(e),
                     None => {
                         this.finished = true;
                         let timer = this.baseline_metrics.elapsed_compute().timer();
                         let result = finalize_aggregation(&this.accumulators, &this.mode)
-                            .map_err(|e| ArrowError::ExternalError(Box::new(e)))
                             .and_then(|columns| {
                                 RecordBatch::try_new(this.schema.clone(), columns)
+                                    .map_err(Into::into)
                             })
                             .record_output(&this.baseline_metrics);
 
@@ -146,7 +145,7 @@ impl AggregateStream {
 }
 
 impl Stream for AggregateStream {
-    type Item = ArrowResult<RecordBatch>;
+    type Item = Result<RecordBatch>;
 
     fn poll_next(
         mut self: std::pin::Pin<&mut Self>,

datafusion/core/src/physical_plan/aggregates/row_hash.rs

@@ -42,13 +42,10 @@ use crate::physical_plan::{RecordBatchStream, SendableRecordBatchStream};
 
 use crate::execution::memory_pool::{MemoryConsumer, MemoryReservation};
 use arrow::array::{new_null_array, PrimitiveArray};
+use arrow::array::{Array, UInt32Builder};
 use arrow::compute::cast;
 use arrow::datatypes::{DataType, Schema, UInt32Type};
 use arrow::{array::ArrayRef, compute};
-use arrow::{
-    array::{Array, UInt32Builder},
-    error::{ArrowError, Result as ArrowResult},
-};
 use arrow::{datatypes::SchemaRef, record_batch::RecordBatch};
 use datafusion_common::{DataFusionError, ScalarValue};
 use datafusion_expr::Accumulator;
@@ -226,7 +223,7 @@ impl GroupedHashAggregateStream {
 }
 
 impl Stream for GroupedHashAggregateStream {
-    type Item = ArrowResult<RecordBatch>;
+    type Item = Result<RecordBatch>;
 
     fn poll_next(
         mut self: std::pin::Pin<&mut Self>,
@@ -252,9 +249,7 @@ impl Stream for GroupedHashAggregateStream {
                             });
 
                             if let Err(e) = result {
-                                return Poll::Ready(Some(Err(
-                                    ArrowError::ExternalError(Box::new(e)),
-                                )));
+                                return Poll::Ready(Some(Err(e)));
                             }
                         }
                         // inner had error, return to caller
@@ -569,7 +564,7 @@ impl std::fmt::Debug for RowAggregationState {
 
 impl GroupedHashAggregateStream {
     /// Create a RecordBatch with all group keys and accumulator' states or values.
-    fn create_batch_from_map(&mut self) -> ArrowResult<Option<RecordBatch>> {
+    fn create_batch_from_map(&mut self) -> Result<Option<RecordBatch>> {
         let skip_items = self.row_group_skip_position;
         if skip_items > self.row_aggr_state.group_states.len() {
             return Ok(None);
@@ -624,7 +619,6 @@ impl GroupedHashAggregateStream {
                         // the intermediate GroupByScalar type was not the same as the
                         // output
                         cast(&item, field.data_type())
-                            .map_err(DataFusionError::ArrowError)
                     }?;
                     results.push(result);
                 }

datafusion/core/src/physical_plan/analyze.rs

@@ -200,7 +200,8 @@ impl ExecutionPlan for AnalyzeExec {
                     Arc::new(type_builder.finish()),
                     Arc::new(plan_builder.finish()),
                 ],
-            );
+            )
+            .map_err(Into::into);
             // again ignore error
             tx.send(maybe_batch).await.ok();
         });

datafusion/core/src/physical_plan/coalesce_batches.rs

@@ -180,7 +180,7 @@ struct CoalesceBatchesStream {
 }
 
 impl Stream for CoalesceBatchesStream {
-    type Item = ArrowResult<RecordBatch>;
+    type Item = Result<RecordBatch>;
 
     fn poll_next(
         mut self: Pin<&mut Self>,
@@ -200,7 +200,7 @@ impl CoalesceBatchesStream {
     fn poll_next_inner(
         self: &mut Pin<&mut Self>,
         cx: &mut Context<'_>,
-    ) -> Poll<Option<ArrowResult<RecordBatch>>> {
+    ) -> Poll<Option<Result<RecordBatch>>> {
         // Get a clone (uses same underlying atomic) as self gets borrowed below
         let cloned_time = self.baseline_metrics.elapsed_compute().clone();
 

datafusion/core/src/physical_plan/coalesce_partitions.rs

@@ -25,8 +25,8 @@ use std::task::Poll;
 use futures::Stream;
 use tokio::sync::mpsc;
 
+use arrow::datatypes::SchemaRef;
 use arrow::record_batch::RecordBatch;
-use arrow::{datatypes::SchemaRef, error::Result as ArrowResult};
 
 use super::common::AbortOnDropMany;
 use super::expressions::PhysicalSortExpr;
@@ -138,7 +138,7 @@ impl ExecutionPlan for CoalescePartitionsExec {
                 // least one result in an attempt to maximize
                 // parallelism.
                 let (sender, receiver) =
-                    mpsc::channel::<ArrowResult<RecordBatch>>(input_partitions);
+                    mpsc::channel::<Result<RecordBatch>>(input_partitions);
 
                 // spawn independent tasks whose resulting streams (of batches)
                 // are sent to the channel for consumption.
@@ -185,14 +185,14 @@ impl ExecutionPlan for CoalescePartitionsExec {
 
 struct MergeStream {
     schema: SchemaRef,
-    input: mpsc::Receiver<ArrowResult<RecordBatch>>,
+    input: mpsc::Receiver<Result<RecordBatch>>,
     baseline_metrics: BaselineMetrics,
     #[allow(unused)]
     drop_helper: AbortOnDropMany<()>,
 }
 
 impl Stream for MergeStream {
-    type Item = ArrowResult<RecordBatch>;
+    type Item = Result<RecordBatch>;
 
     fn poll_next(
         mut self: std::pin::Pin<&mut Self>,

datafusion/core/src/physical_plan/common.rs

@@ -25,7 +25,6 @@ use crate::physical_plan::{displayable, ColumnStatistics, ExecutionPlan, Statist
 use arrow::compute::concat;
 use arrow::datatypes::{Schema, SchemaRef};
 use arrow::error::ArrowError;
-use arrow::error::Result as ArrowResult;
 use arrow::ipc::writer::{FileWriter, IpcWriteOptions};
 use arrow::record_batch::RecordBatch;
 use datafusion_physical_expr::utils::ordering_satisfy;
@@ -68,7 +67,7 @@ impl SizedRecordBatchStream {
 }
 
 impl Stream for SizedRecordBatchStream {
-    type Item = ArrowResult<RecordBatch>;
+    type Item = Result<RecordBatch>;
 
     fn poll_next(
         mut self: std::pin::Pin<&mut Self>,
@@ -92,10 +91,7 @@ impl RecordBatchStream for SizedRecordBatchStream {
 
 /// Create a vector of record batches from a stream
 pub async fn collect(stream: SendableRecordBatchStream) -> Result<Vec<RecordBatch>> {
-    stream
-        .try_collect::<Vec<_>>()
-        .await
-        .map_err(DataFusionError::from)
+    stream.try_collect::<Vec<_>>().await
 }
 
 /// Merge two record batch references into a single record batch.
@@ -104,15 +100,16 @@ pub fn merge_batches(
     first: &RecordBatch,
     second: &RecordBatch,
     schema: SchemaRef,
-) -> ArrowResult<RecordBatch> {
+) -> Result<RecordBatch> {
     let columns = (0..schema.fields.len())
         .map(|index| {
             let first_column = first.column(index).as_ref();
             let second_column = second.column(index).as_ref();
             concat(&[first_column, second_column])
         })
-        .collect::<ArrowResult<Vec<_>>>()?;
-    RecordBatch::try_new(schema, columns)
+        .collect::<Result<Vec<_>, ArrowError>>()
+        .map_err(Into::<DataFusionError>::into)?;
+    RecordBatch::try_new(schema, columns).map_err(Into::into)
 }
 
 /// Merge a slice of record batch references into a single record batch, or
@@ -121,7 +118,7 @@ pub fn merge_batches(
 pub fn merge_multiple_batches(
     batches: &[&RecordBatch],
     schema: SchemaRef,
-) -> ArrowResult<Option<RecordBatch>> {
+) -> Result<Option<RecordBatch>> {
     Ok(if batches.is_empty() {
         None
     } else {
@@ -134,7 +131,8 @@ pub fn merge_multiple_batches(
                         .collect::<Vec<_>>(),
                 )
             })
-            .collect::<ArrowResult<Vec<_>>>()?;
+            .collect::<Result<Vec<_>, ArrowError>>()
+            .map_err(Into::<DataFusionError>::into)?;
         Some(RecordBatch::try_new(schema, columns)?)
     })
 }
@@ -190,7 +188,7 @@ fn build_file_list_recurse(
 /// Spawns a task to the tokio threadpool and writes its outputs to the provided mpsc sender
 pub(crate) fn spawn_execution(
     input: Arc<dyn ExecutionPlan>,
-    output: mpsc::Sender<ArrowResult<RecordBatch>>,
+    output: mpsc::Sender<Result<RecordBatch>>,
     partition: usize,
     context: Arc<TaskContext>,
 ) -> JoinHandle<()> {
@@ -199,8 +197,7 @@ pub(crate) fn spawn_execution(
             Err(e) => {
                 // If send fails, plan being torn down,
                 // there is no place to send the error.
-                let arrow_error = ArrowError::ExternalError(Box::new(e));
-                output.send(Err(arrow_error)).await.ok();
+                output.send(Err(e)).await.ok();
                 debug!(
                     "Stopping execution: error executing input: {}",
                     displayable(input.as_ref()).one_line()
@@ -524,7 +521,7 @@ impl IPCWriter {
 
     /// Finish the writer
     pub fn finish(&mut self) -> Result<()> {
-        self.writer.finish().map_err(DataFusionError::ArrowError)
+        self.writer.finish().map_err(Into::into)
     }
 
     /// Path write to

datafusion/core/src/physical_plan/file_format/csv.rs

@@ -452,7 +452,7 @@ mod tests {
         let err = it.next().await.unwrap().unwrap_err().to_string();
         assert_eq!(
             err,
-            "Csv error: incorrect number of fields for line 1, expected 14 got 13"
+            "Arrow error: Csv error: incorrect number of fields for line 1, expected 14 got 13"
         );
         Ok(())
     }

datafusion/core/src/physical_plan/file_format/file_stream.rs

@@ -27,7 +27,8 @@ use std::task::{Context, Poll};
 use std::time::Instant;
 
 use arrow::datatypes::SchemaRef;
-use arrow::{error::Result as ArrowResult, record_batch::RecordBatch};
+use arrow::error::ArrowError;
+use arrow::record_batch::RecordBatch;
 use datafusion_common::ScalarValue;
 use futures::future::BoxFuture;
 use futures::stream::BoxStream;
@@ -45,7 +46,7 @@ use crate::physical_plan::RecordBatchStream;
 
 /// A fallible future that resolves to a stream of [`RecordBatch`]
 pub type FileOpenFuture =
-    BoxFuture<'static, Result<BoxStream<'static, ArrowResult<RecordBatch>>>>;
+    BoxFuture<'static, Result<BoxStream<'static, Result<RecordBatch, ArrowError>>>>;
 
 /// Generic API for opening a file using an [`ObjectStore`] and resolving to a
 /// stream of [`RecordBatch`]
@@ -96,7 +97,7 @@ enum FileStreamState {
         /// Partitioning column values for the current batch_iter
         partition_values: Vec<ScalarValue>,
         /// The reader instance
-        reader: BoxStream<'static, ArrowResult<RecordBatch>>,
+        reader: BoxStream<'static, Result<RecordBatch, ArrowError>>,
     },
     /// Encountered an error
     Error,
@@ -201,10 +202,7 @@ impl<F: FileOpener> FileStream<F> {
         })
     }
 
-    fn poll_inner(
-        &mut self,
-        cx: &mut Context<'_>,
-    ) -> Poll<Option<ArrowResult<RecordBatch>>> {
+    fn poll_inner(&mut self, cx: &mut Context<'_>) -> Poll<Option<Result<RecordBatch>>> {
         loop {
             match &mut self.state {
                 FileStreamState::Idle => {
@@ -230,7 +228,7 @@ impl<F: FileOpener> FileStream<F> {
                         }
                         Err(e) => {
                             self.state = FileStreamState::Error;
-                            return Poll::Ready(Some(Err(e.into())));
+                            return Poll::Ready(Some(Err(e)));
                         }
                     }
                 }
@@ -249,7 +247,7 @@ impl<F: FileOpener> FileStream<F> {
                     }
                     Err(e) => {
                         self.state = FileStreamState::Error;
-                        return Poll::Ready(Some(Err(e.into())));
+                        return Poll::Ready(Some(Err(e)));
                     }
                 },
                 FileStreamState::Scan {
@@ -260,7 +258,11 @@ impl<F: FileOpener> FileStream<F> {
                         self.file_stream_metrics.time_scanning_until_data.stop();
                         self.file_stream_metrics.time_scanning_total.stop();
                         let result = result
-                            .and_then(|b| self.pc_projector.project(b, partition_values))
+                            .and_then(|b| {
+                                self.pc_projector
+                                    .project(b, partition_values)
+                                    .map_err(|e| ArrowError::ExternalError(e.into()))
+                            })
                             .map(|batch| match &mut self.remain {
                                 Some(remain) => {
                                     if *remain > batch.num_rows() {
@@ -280,7 +282,7 @@ impl<F: FileOpener> FileStream<F> {
                             self.state = FileStreamState::Error
                         }
                         self.file_stream_metrics.time_scanning_total.start();
-                        return Poll::Ready(Some(result));
+                        return Poll::Ready(Some(result.map_err(Into::into)));
                     }
                     None => {
                         self.file_stream_metrics.time_scanning_until_data.stop();
@@ -297,7 +299,7 @@ impl<F: FileOpener> FileStream<F> {
 }
 
 impl<F: FileOpener> Stream for FileStream<F> {
-    type Item = ArrowResult<RecordBatch>;
+    type Item = Result<RecordBatch>;
 
     fn poll_next(
         mut self: Pin<&mut Self>,