alamb commented on code in PR #5074:
URL: https://github.com/apache/arrow-datafusion/pull/5074#discussion_r1103628058


##########
datafusion/core/tests/sql/joins.rs:
##########
@@ -2658,14 +2650,13 @@ async fn left_side_expr_key_inner_join() -> Result<()> {
             vec![
                 "ProjectionExec: expr=[t1_id@0 as t1_id, t2_id@2 as t2_id, 
t1_name@1 as t1_name]",
                 "  ProjectionExec: expr=[t1_id@0 as t1_id, t1_name@1 as 
t1_name, t2_id@3 as t2_id]",
-                "    RepartitionExec: partitioning=RoundRobinBatch(2), 
input_partitions=1",
-                "      CoalesceBatchesExec: target_batch_size=4096",
-                "        HashJoinExec: mode=CollectLeft, join_type=Inner, 
on=[(Column { name: \"t1.t1_id + UInt32(11)\", index: 2 }, Column { name: 
\"t2_id\", index: 0 })]",
-                "          CoalescePartitionsExec",
-                "            ProjectionExec: expr=[t1_id@0 as t1_id, t1_name@1 
as t1_name, t1_id@0 + 11 as t1.t1_id + UInt32(11)]",
-                "              RepartitionExec: 
partitioning=RoundRobinBatch(2), input_partitions=1",
-                "                MemoryExec: partitions=1, 
partition_sizes=[1]",
-                "          MemoryExec: partitions=1, partition_sizes=[1]",
+                "    CoalesceBatchesExec: target_batch_size=4096",
+                "      HashJoinExec: mode=CollectLeft, join_type=Inner, 
on=[(Column { name: \"t1.t1_id + UInt32(11)\", index: 2 }, Column { name: 
\"t2_id\", index: 0 })]",
+                "        CoalescePartitionsExec",
+                "          ProjectionExec: expr=[t1_id@0 as t1_id, t1_name@1 
as t1_name, t1_id@0 + 11 as t1.t1_id + UInt32(11)]",

Review Comment:
   👍  for the fact that the projection exec with exprs is still repartitioned



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