metesynnada commented on code in PR #7452:
URL: https://github.com/apache/arrow-datafusion/pull/7452#discussion_r1316829319


##########
datafusion/core/src/datasource/file_format/write.rs:
##########
@@ -315,13 +299,90 @@ pub(crate) async fn create_writer(
     }
 }
 
+/// Serializes a single data stream in parallel and writes to an ObjectStore
+/// concurrently. Data order is preserved. In the event of an error,
+/// the ObjectStore writer is returned to the caller in addition to an error,
+/// so that the caller may handle aborting failed writes.
+async fn serialize_rb_stream_to_object_store(
+    mut data_stream: Pin<Box<dyn RecordBatchStream + Send>>,
+    mut serializer: Box<dyn BatchSerializer>,
+    mut writer: AbortableWrite<Box<dyn AsyncWrite + Send + Unpin>>,
+) -> std::result::Result<
+    (
+        Box<dyn BatchSerializer>,
+        AbortableWrite<Box<dyn AsyncWrite + Send + Unpin>>,
+        u64,
+    ),
+    (
+        AbortableWrite<Box<dyn AsyncWrite + Send + Unpin>>,
+        DataFusionError,
+    ),
+> {
+    let mut row_count = 0;
+    // Not using JoinSet here since we want to ulimately write to ObjectStore 
preserving file order
+    let mut serialize_tasks: Vec<JoinHandle<Result<(usize, Bytes), 
DataFusionError>>> =
+        Vec::new();
+    while let Some(maybe_batch) = data_stream.next().await {
+        let mut serializer_clone = match serializer.duplicate() {
+            Ok(s) => s,
+            Err(_) => {
+                return Err((
+                    writer,
+                    DataFusionError::Internal(
+                        "Unknown error writing to object store".into(),
+                    ),
+                ))
+            }
+        };
+        serialize_tasks.push(task::spawn(async move {
+            let batch = maybe_batch?;
+            let num_rows = batch.num_rows();
+            let bytes = serializer_clone.serialize(batch).await?;
+            Ok((num_rows, bytes))
+        }));
+    }
+    for serialize_result in serialize_tasks {
+        let result = serialize_result.await;
+        match result {
+            Ok(res) => {
+                let (cnt, bytes) = match res {
+                    Ok(r) => r,
+                    Err(e) => return Err((writer, e)),
+                };
+                row_count += cnt;
+                match writer.write_all(&bytes).await {
+                    Ok(_) => (),
+                    Err(_) => {
+                        return Err((
+                            writer,
+                            DataFusionError::Internal(
+                                "Unknown error writing to object store".into(),
+                            ),
+                        ))
+                    }
+                };
+            }
+            Err(_) => {
+                return Err((
+                    writer,
+                    DataFusionError::Internal(
+                        "Unknown error writing to object store".into(),
+                    ),
+                ))
+            }
+        }
+    }
+
+    Ok((serializer, writer, row_count as u64))
+}

Review Comment:
   I believe we are facing the same issue at 
https://github.com/apache/arrow-datafusion/issues/5278. We could apply the same 
heuristic to https://github.com/apache/arrow-datafusion/issues/6290.



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