Fix panic propagation in CoalescePartitions, consolidates panic propagation into RecordBatchReceiverStream

datafusion/core/src/physical_plan/analyze.rs

@@ -29,10 +29,9 @@ use crate::{
 };
 use arrow::{array::StringBuilder, datatypes::SchemaRef, record_batch::RecordBatch};
 use futures::StreamExt;
-use tokio::task::JoinSet;
 
 use super::expressions::PhysicalSortExpr;
-use super::stream::RecordBatchStreamAdapter;
+use super::stream::{RecordBatchReceiverStream, RecordBatchStreamAdapter};
 use super::{Distribution, SendableRecordBatchStream};
 use datafusion_execution::TaskContext;
 
@@ -121,23 +120,15 @@ impl ExecutionPlan for AnalyzeExec {
         // Gather futures that will run each input partition in
         // parallel (on a separate tokio task) using a JoinSet to
         // cancel outstanding futures on drop
-        let mut set = JoinSet::new();
         let num_input_partitions = self.input.output_partitioning().partition_count();
+        let mut builder =
+            RecordBatchReceiverStream::builder(self.schema(), num_input_partitions);
 
         for input_partition in 0..num_input_partitions {
-            let input_stream = self.input.execute(input_partition, context.clone());
-
-            set.spawn(async move {
-                let mut total_rows = 0;
-                let mut input_stream = input_stream?;
-                while let Some(batch) = input_stream.next().await {
-                    let batch = batch?;
-                    total_rows += batch.num_rows();
-                }
-                Ok(total_rows) as Result<usize>
-            });
+            builder.run_input(self.input.clone(), input_partition, context.clone());
         }
 
+        // Create future that computes thefinal output
         let start = Instant::now();
         let captured_input = self.input.clone();
         let captured_schema = self.schema.clone();
@@ -146,18 +137,11 @@ impl ExecutionPlan for AnalyzeExec {
         // future that gathers the results from all the tasks in the
         // JoinSet that computes the overall row count and final
         // record batch
+        let mut input_stream = builder.build();
         let output = async move {
             let mut total_rows = 0;
-            while let Some(res) = set.join_next().await {
-                // translate join errors (aka task panic's) into ExecutionErrors
-                match res {
-                    Ok(row_count) => total_rows += row_count?,
-                    Err(e) => {
-                        return Err(DataFusionError::Execution(format!(
-                            "Join error in AnalyzeExec: {e}"
-                        )))
-                    }
-                }
+            while let Some(batch) = input_stream.next().await.transpose()? {
+                total_rows += batch.num_rows();
             }
 
             let duration = Instant::now() - start;

datafusion/core/src/physical_plan/coalesce_partitions.rs

@@ -20,25 +20,19 @@
 
 use std::any::Any;
 use std::sync::Arc;
-use std::task::Poll;
-
-use futures::Stream;
-use tokio::sync::mpsc;
 
 use arrow::datatypes::SchemaRef;
-use arrow::record_batch::RecordBatch;
 
-use super::common::AbortOnDropMany;
 use super::expressions::PhysicalSortExpr;
 use super::metrics::{BaselineMetrics, ExecutionPlanMetricsSet, MetricsSet};
-use super::{RecordBatchStream, Statistics};
+use super::stream::{ObservedStream, RecordBatchReceiverStream};
+use super::Statistics;
 use crate::error::{DataFusionError, Result};
 use crate::physical_plan::{
     DisplayFormatType, EquivalenceProperties, ExecutionPlan, Partitioning,
 };
 
 use super::SendableRecordBatchStream;
-use crate::physical_plan::common::spawn_execution;
 use datafusion_execution::TaskContext;
 
 /// Merge execution plan executes partitions in parallel and combines them into a single
@@ -137,27 +131,17 @@ impl ExecutionPlan for CoalescePartitionsExec {
                 // use a stream that allows each sender to put in at
                 // least one result in an attempt to maximize
                 // parallelism.
-                let (sender, receiver) =
-                    mpsc::channel::<Result<RecordBatch>>(input_partitions);
+                let mut builder =
+                    RecordBatchReceiverStream::builder(self.schema(), input_partitions);
 
                 // spawn independent tasks whose resulting streams (of batches)
                 // are sent to the channel for consumption.
-                let mut join_handles = Vec::with_capacity(input_partitions);
                 for part_i in 0..input_partitions {
-                    join_handles.push(spawn_execution(
-                        self.input.clone(),
-                        sender.clone(),
-                        part_i,
-                        context.clone(),
-                    ));
+                    builder.run_input(self.input.clone(), part_i, context.clone());
                 }
 
-                Ok(Box::pin(MergeStream {
-                    input: receiver,
-                    schema: self.schema(),
-                    baseline_metrics,
-                    drop_helper: AbortOnDropMany(join_handles),
-                }))
+                let stream = builder.build();
+                Ok(Box::pin(ObservedStream::new(stream, baseline_metrics)))
             }
         }
     }
@@ -183,32 +167,6 @@ impl ExecutionPlan for CoalescePartitionsExec {
     }
 }
 
-struct MergeStream {
-    schema: SchemaRef,
-    input: mpsc::Receiver<Result<RecordBatch>>,
-    baseline_metrics: BaselineMetrics,
-    #[allow(unused)]
-    drop_helper: AbortOnDropMany<()>,
-}
-
-impl Stream for MergeStream {
-    type Item = Result<RecordBatch>;
-
-    fn poll_next(
-        mut self: std::pin::Pin<&mut Self>,
-        cx: &mut std::task::Context<'_>,
-    ) -> Poll<Option<Self::Item>> {
-        let poll = self.input.poll_recv(cx);
-        self.baseline_metrics.record_poll(poll)
-    }
-}
-
-impl RecordBatchStream for MergeStream {
-    fn schema(&self) -> SchemaRef {
-        self.schema.clone()
-    }
-}
-
 #[cfg(test)]
 mod tests {
 
@@ -218,7 +176,9 @@ mod tests {
     use super::*;
     use crate::physical_plan::{collect, common};
     use crate::prelude::SessionContext;
-    use crate::test::exec::{assert_strong_count_converges_to_zero, BlockingExec};
+    use crate::test::exec::{
+        assert_strong_count_converges_to_zero, BlockingExec, PanicExec,
+    };
     use crate::test::{self, assert_is_pending};
 
     #[tokio::test]
@@ -270,4 +230,19 @@ mod tests {
 
         Ok(())
     }
+
+    #[tokio::test]
+    #[should_panic(expected = "PanickingStream did panic")]
+    async fn test_panic() {
+        let session_ctx = SessionContext::new();
+        let task_ctx = session_ctx.task_ctx();
+        let schema =
+            Arc::new(Schema::new(vec![Field::new("a", DataType::Float32, true)]));
+
+        let panicking_exec = Arc::new(PanicExec::new(Arc::clone(&schema), 2));
+        let coalesce_partitions_exec =
+            Arc::new(CoalescePartitionsExec::new(panicking_exec));
+
+        collect(coalesce_partitions_exec, task_ctx).await.unwrap();
+    }
 }

datafusion/core/src/physical_plan/common.rs

@@ -21,23 +21,20 @@ use super::SendableRecordBatchStream;
 use crate::error::{DataFusionError, Result};
 use crate::execution::memory_pool::MemoryReservation;
 use crate::physical_plan::stream::RecordBatchReceiverStream;
-use crate::physical_plan::{displayable, ColumnStatistics, ExecutionPlan, Statistics};
+use crate::physical_plan::{ColumnStatistics, ExecutionPlan, Statistics};
 use arrow::datatypes::Schema;
 use arrow::ipc::writer::{FileWriter, IpcWriteOptions};
 use arrow::record_batch::RecordBatch;
-use datafusion_execution::TaskContext;
 use datafusion_physical_expr::expressions::{BinaryExpr, Column};
 use datafusion_physical_expr::{PhysicalExpr, PhysicalSortExpr};
 use futures::{Future, StreamExt, TryStreamExt};
-use log::debug;
 use parking_lot::Mutex;
 use pin_project_lite::pin_project;
 use std::fs;
 use std::fs::{metadata, File};
 use std::path::{Path, PathBuf};
 use std::sync::Arc;
 use std::task::{Context, Poll};
-use tokio::sync::mpsc;
 use tokio::task::JoinHandle;
 
 /// [`MemoryReservation`] used across query execution streams
@@ -96,65 +93,30 @@ fn build_file_list_recurse(
     Ok(())
 }
 
-/// 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<Result<RecordBatch>>,
-    partition: usize,
-    context: Arc<TaskContext>,
-) -> JoinHandle<()> {
-    tokio::spawn(async move {
-        let mut stream = match input.execute(partition, context) {
-            Err(e) => {
-                // If send fails, plan being torn down,
-                // there is no place to send the error.
-                output.send(Err(e)).await.ok();
-                debug!(
-                    "Stopping execution: error executing input: {}",
-                    displayable(input.as_ref()).one_line()
-                );
-                return;
-            }
-            Ok(stream) => stream,
-        };
-
-        while let Some(item) = stream.next().await {
-            // If send fails, plan being torn down,
-            // there is no place to send the error.
-            if output.send(item).await.is_err() {
-                debug!(
-                    "Stopping execution: output is gone, plan cancelling: {}",
-                    displayable(input.as_ref()).one_line()
-                );
-                return;
-            }
-        }
-    })
-}
-
 /// If running in a tokio context spawns the execution of `stream` to a separate task
 /// allowing it to execute in parallel with an intermediate buffer of size `buffer`
 pub(crate) fn spawn_buffered(
     mut input: SendableRecordBatchStream,
     buffer: usize,
 ) -> SendableRecordBatchStream {
     // Use tokio only if running from a tokio context (#2201)
-    let handle = match tokio::runtime::Handle::try_current() {
-        Ok(handle) => handle,
-        Err(_) => return input,
+    if tokio::runtime::Handle::try_current().is_err() {
+        return input;
     };
 
-    let schema = input.schema();
-    let (sender, receiver) = mpsc::channel(buffer);
-    let join = handle.spawn(async move {
+    let mut builder = RecordBatchReceiverStream::builder(input.schema(), buffer);
+
+    let sender = builder.tx();
+
+    builder.spawn(async move {
         while let Some(item) = input.next().await {
             if sender.send(item).await.is_err() {
                 return;
             }
         }
     });
 
-    RecordBatchReceiverStream::create(&schema, receiver, join)
+    builder.build()
 }
 
 /// Computes the statistics for an in-memory RecordBatch

datafusion/core/src/physical_plan/sorts/sort.rs

@@ -52,7 +52,7 @@ use std::io::BufReader;
 use std::path::{Path, PathBuf};
 use std::sync::Arc;
 use tempfile::NamedTempFile;
-use tokio::sync::mpsc::{Receiver, Sender};
+use tokio::sync::mpsc::Sender;
 use tokio::task;
 
 struct ExternalSorterMetrics {
@@ -373,18 +373,16 @@ fn read_spill_as_stream(
     path: NamedTempFile,
     schema: SchemaRef,
 ) -> Result<SendableRecordBatchStream> {
-    let (sender, receiver): (Sender<Result<RecordBatch>>, Receiver<Result<RecordBatch>>) =
-        tokio::sync::mpsc::channel(2);
-    let join_handle = task::spawn_blocking(move || {
+    let mut builder = RecordBatchReceiverStream::builder(schema, 2);
+    let sender = builder.tx();
+
+    builder.spawn_blocking(move || {
         if let Err(e) = read_spill(sender, path.path()) {
             error!("Failure while reading spill file: {:?}. Error: {}", path, e);
         }
     });
-    Ok(RecordBatchReceiverStream::create(
-        &schema,
-        receiver,
-        join_handle,
-    ))
+
+    Ok(builder.build())
 }
 
 fn write_sorted(

datafusion/core/src/physical_plan/sorts/sort_preserving_merge.rs

@@ -792,21 +792,20 @@ mod tests {
         let mut streams = Vec::with_capacity(partition_count);
 
         for partition in 0..partition_count {
-            let (sender, receiver) = tokio::sync::mpsc::channel(1);
+            let mut builder = RecordBatchReceiverStream::builder(schema.clone(), 1);
+
+            let sender = builder.tx();
+
             let mut stream = batches.execute(partition, task_ctx.clone()).unwrap();
-            let join_handle = tokio::spawn(async move {
+            builder.spawn(async move {
                 while let Some(batch) = stream.next().await {
                     sender.send(batch).await.unwrap();
                     // This causes the MergeStream to wait for more input
                     tokio::time::sleep(tokio::time::Duration::from_millis(10)).await;
                 }
             });
 
-            streams.push(RecordBatchReceiverStream::create(
-                &schema,
-                receiver,
-                join_handle,
-            ));
+            streams.push(builder.build());
         }
 
         let metrics = ExecutionPlanMetricsSet::new();