Merge pull request #6295 from influxdata/crepererum/revert_dad6dee924ef71b414e4fc3b79864e454f4f7fea

refactor: revert stream-based `SeriesSetConvert::convert` interface (#6282)

iox_query/src/exec/context.rs

@@ -451,9 +451,17 @@ impl IOxSessionContext {
 
                     let it = ctx.execute_stream(physical_plan).await?;
 
-                    SeriesSetConverter::default()
+                    let series_sets = SeriesSetConverter::default()
                         .convert(table_name, tag_columns, field_columns, it)
                         .await
+                        .map_err(|e| {
+                            Error::Execution(format!(
+                                "Error executing series set conversion: {}",
+                                e
+                            ))
+                        })?;
+
+                    Ok(futures::stream::iter(series_sets).map(|x| Ok(x) as Result<_>))
                 })
             })
             .try_flatten()

iox_query/src/exec/seriesset/converter.rs

@@ -15,8 +15,9 @@ use datafusion::{
 };
 
 use futures::{Stream, StreamExt, TryStreamExt};
-use snafu::{OptionExt, Snafu};
+use snafu::{OptionExt, ResultExt, Snafu};
 use std::sync::Arc;
+use tokio::sync::mpsc::error::SendError;
 
 use crate::exec::{
     field::{self, FieldColumns, FieldIndexes},
@@ -30,11 +31,40 @@ use super::{
 
 #[derive(Debug, Snafu)]
 pub enum Error {
+    #[snafu(display("Plan Execution Error: {}", source))]
+    Execution {
+        source: Box<dyn std::error::Error + Send + Sync + 'static>,
+    },
+
+    #[snafu(display(
+        "Error reading record batch while converting from SeriesSet: {:?}",
+        source
+    ))]
+    Reading {
+        source: datafusion::error::DataFusionError,
+    },
+
+    #[snafu(display(
+        "Error concatenating record batch while converting from SeriesSet: {:?}",
+        source
+    ))]
+    Concatenating { source: arrow::error::ArrowError },
+
     #[snafu(display("Internal field error while converting series set: {}", source))]
     InternalField { source: field::Error },
 
     #[snafu(display("Internal error finding grouping colum: {}", column_name))]
     FindingGroupColumn { column_name: String },
+
+    #[snafu(display("Sending series set results during conversion: {:?}", source))]
+    SendingDuringConversion {
+        source: Box<SendError<Result<SeriesSet>>>,
+    },
+
+    #[snafu(display("Sending grouped series set results during conversion: {:?}", source))]
+    SendingDuringGroupedConversion {
+        source: Box<SendError<Result<SeriesSet>>>,
+    },
 }
 
 pub type Result<T, E = Error> = std::result::Result<T, E>;
@@ -63,54 +93,26 @@ impl SeriesSetConverter {
         tag_columns: Arc<Vec<Arc<str>>>,
         field_columns: FieldColumns,
         it: SendableRecordBatchStream,
-    ) -> Result<impl Stream<Item = Result<SeriesSet, DataFusionError>>, DataFusionError> {
+    ) -> Result<Vec<SeriesSet>, Error> {
-        assert_eq!(
-            tag_columns.as_ref(),
-            &{
-                let mut tmp = tag_columns.as_ref().clone();
-                tmp.sort();
-                tmp
-            },
-            "Tag column sorted",
-        );
-
-        let schema = it.schema();
-
         // for now, this logic only handles a single `RecordBatch` so
         // concat data together.
         //
         // proper streaming support tracked by:
         // https://github.com/influxdata/influxdb_iox/issues/4445
-        let batches = collect(it).await.map_err(|e| {
+        let batches = collect(it).await.context(ReadingSnafu)?;
-            DataFusionError::Context(
-                "Error reading record batch while converting from SeriesSet".to_string(),
-                Box::new(e),
-            )
-        })?;
 
-        let batch = compute::concat_batches(&schema, &batches).map_err(|e| {
+        let batch = if !batches.is_empty() {
-            DataFusionError::Context(
+            compute::concat_batches(&batches[0].schema(), &batches).context(ConcatenatingSnafu)?
-                "Error concatenating record batch while converting from SeriesSet".to_string(),
+        } else {
-                Box::new(DataFusionError::ArrowError(e)),
+            return Ok(vec![]);
-            )
+        };
-        })?;
-        if batch.num_rows() == 0 {
-            return Ok(futures::stream::empty().boxed());
-        }
 
-        let tag_indexes = FieldIndexes::names_to_indexes(&schema, &tag_columns).map_err(|e| {
+        let schema = batch.schema();
-            DataFusionError::Context(
+        // TODO: check that the tag columns are sorted by tag name...
-                "Internal field error while converting series set".to_string(),
+        let tag_indexes =
-                Box::new(DataFusionError::External(Box::new(e))),
+            FieldIndexes::names_to_indexes(&schema, &tag_columns).context(InternalFieldSnafu)?;
-            )
+        let field_indexes = FieldIndexes::from_field_columns(&schema, &field_columns)
-        })?;
+            .context(InternalFieldSnafu)?;
-        let field_indexes =
-            FieldIndexes::from_field_columns(&schema, &field_columns).map_err(|e| {
-                DataFusionError::Context(
-                    "Internal field error while converting series set".to_string(),
-                    Box::new(DataFusionError::External(Box::new(e))),
-                )
-            })?;
 
         // Algorithm: compute, via bitsets, the rows at which each
         // tag column changes and thereby where the tagset
@@ -146,7 +148,7 @@ impl SeriesSetConverter {
         // call await during the loop)
 
         // emit each series
-        let series_sets: Vec<_> = intersections
+        let series_sets = intersections
             .into_iter()
             .map(|end_row| {
                 let series_set = SeriesSet {
@@ -161,7 +163,7 @@ impl SeriesSetConverter {
             })
             .collect();
 
-        Ok(futures::stream::iter(series_sets).map(Ok).boxed())
+        Ok(series_sets)
     }
 
     /// returns a bitset with all row indexes where the value of the
@@ -775,9 +777,6 @@ mod tests {
             .convert(table_name, tag_columns, field_columns, it)
             .await
             .expect("Conversion happened without error")
-            .try_collect()
-            .await
-            .expect("Conversion happened without error")
     }
 
     /// Test helper: parses the csv content into a single record batch arrow