diff --git a/datafusion/physical-plan/src/joins/hash_join.rs b/datafusion/physical-plan/src/joins/hash_join.rs
index e9d6354e21d7..fcd5fd5a5a07 100644
--- a/datafusion/physical-plan/src/joins/hash_join.rs
+++ b/datafusion/physical-plan/src/joins/hash_join.rs
@@ -40,7 +40,6 @@ use crate::projection::{
 use crate::spill::get_record_batch_memory_size;
 use crate::ExecutionPlanProperties;
 use crate::{
-    coalesce_partitions::CoalescePartitionsExec,
     common::can_project,
     handle_state,
     hash_utils::create_hashes,
@@ -791,34 +790,44 @@ impl ExecutionPlan for HashJoinExec {
             );
         }
 
+        if self.mode == PartitionMode::CollectLeft && left_partitions != 1 {
+            return internal_err!(
+                "Invalid HashJoinExec,the output partition count of the left child must be 1 in CollectLeft mode,\
+                 consider using CoalescePartitionsExec"
+            );
+        }
+
         let join_metrics = BuildProbeJoinMetrics::new(partition, &self.metrics);
         let left_fut = match self.mode {
-            PartitionMode::CollectLeft => self.left_fut.once(|| {
-                let reservation =
-                    MemoryConsumer::new("HashJoinInput").register(context.memory_pool());
-                collect_left_input(
-                    None,
-                    self.random_state.clone(),
-                    Arc::clone(&self.left),
-                    on_left.clone(),
-                    Arc::clone(&context),
-                    join_metrics.clone(),
-                    reservation,
-                    need_produce_result_in_final(self.join_type),
-                    self.right().output_partitioning().partition_count(),
-                )
-            }),
+            PartitionMode::CollectLeft => {
+                let left_stream = self.left.execute(0, Arc::clone(&context))?;
+
+                self.left_fut.once(|| {
+                    let reservation = MemoryConsumer::new("HashJoinInput")
+                        .register(context.memory_pool());
+
+                    collect_left_input(
+                        self.random_state.clone(),
+                        left_stream,
+                        on_left.clone(),
+                        join_metrics.clone(),
+                        reservation,
+                        need_produce_result_in_final(self.join_type),
+                        self.right().output_partitioning().partition_count(),
+                    )
+                })
+            }
             PartitionMode::Partitioned => {
+                let left_stream = self.left.execute(partition, Arc::clone(&context))?;
+
                 let reservation =
                     MemoryConsumer::new(format!("HashJoinInput[{partition}]"))
                         .register(context.memory_pool());
 
                 OnceFut::new(collect_left_input(
-                    Some(partition),
                     self.random_state.clone(),
-                    Arc::clone(&self.left),
+                    left_stream,
                     on_left.clone(),
-                    Arc::clone(&context),
                     join_metrics.clone(),
                     reservation,
                     need_produce_result_in_final(self.join_type),
@@ -929,36 +938,22 @@ impl ExecutionPlan for HashJoinExec {
 
 /// Reads the left (build) side of the input, buffering it in memory, to build a
 /// hash table (`LeftJoinData`)
-#[allow(clippy::too_many_arguments)]
 async fn collect_left_input(
-    partition: Option<usize>,
     random_state: RandomState,
-    left: Arc<dyn ExecutionPlan>,
+    left_stream: SendableRecordBatchStream,
     on_left: Vec<PhysicalExprRef>,
-    context: Arc<TaskContext>,
     metrics: BuildProbeJoinMetrics,
     reservation: MemoryReservation,
     with_visited_indices_bitmap: bool,
     probe_threads_count: usize,
 ) -> Result<JoinLeftData> {
-    let schema = left.schema();
-
-    let (left_input, left_input_partition) = if let Some(partition) = partition {
-        (left, partition)
-    } else if left.output_partitioning().partition_count() != 1 {
-        (Arc::new(CoalescePartitionsExec::new(left)) as _, 0)
-    } else {
-        (left, 0)
-    };
-
-    // Depending on partition argument load single partition or whole left side in memory
-    let stream = left_input.execute(left_input_partition, Arc::clone(&context))?;
+    let schema = left_stream.schema();
 
     // This operation performs 2 steps at once:
     // 1. creates a [JoinHashMap] of all batches from the stream
     // 2. stores the batches in a vector.
     let initial = (Vec::new(), 0, metrics, reservation);
-    let (batches, num_rows, metrics, mut reservation) = stream
+    let (batches, num_rows, metrics, mut reservation) = left_stream
         .try_fold(initial, |mut acc, batch| async {
             let batch_size = get_record_batch_memory_size(&batch);
             // Reserve memory for incoming batch
@@ -1654,6 +1649,7 @@ impl EmbeddedProjection for HashJoinExec {
 #[cfg(test)]
 mod tests {
     use super::*;
+    use crate::coalesce_partitions::CoalescePartitionsExec;
     use crate::test::TestMemoryExec;
     use crate::{
         common, expressions::Column, repartition::RepartitionExec, test::build_table_i32,
@@ -2101,6 +2097,7 @@ mod tests {
         let left =
             TestMemoryExec::try_new_exec(&[vec![batch1], vec![batch2]], schema, None)
                 .unwrap();
+        let left = Arc::new(CoalescePartitionsExec::new(left));
 
         let right = build_table(
             ("a1", &vec![1, 2, 3]),
@@ -2173,6 +2170,7 @@ mod tests {
         let left =
             TestMemoryExec::try_new_exec(&[vec![batch1], vec![batch2]], schema, None)
                 .unwrap();
+        let left = Arc::new(CoalescePartitionsExec::new(left));
         let right = build_table(
             ("a2", &vec![20, 30, 10]),
             ("b2", &vec![5, 6, 4]),