mingmwang commented on code in PR #6659:
URL: https://github.com/apache/arrow-datafusion/pull/6659#discussion_r1228429913
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datafusion/core/tests/sqllogictests/test_files/subquery.slt:
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@@ -107,3 +107,144 @@ from t1
where t1_int = (select max(i) from (values (1)) as s(i));
----
11
+
+# aggregated_correlated_scalar_subquery
+query TT
+explain SELECT t1_id, (SELECT sum(t2_int) FROM t2 WHERE t2.t2_id = t1.t1_id)
as t2_sum from t1
+----
+logical_plan
+Projection: t1.t1_id, __scalar_sq_2.SUM(t2.t2_int) AS t2_sum
+--Left Join: t1.t1_id = __scalar_sq_2.t2_id
+----TableScan: t1 projection=[t1_id]
+----SubqueryAlias: __scalar_sq_2
+------Projection: SUM(t2.t2_int), t2.t2_id
+--------Aggregate: groupBy=[[t2.t2_id]], aggr=[[SUM(t2.t2_int)]]
+----------TableScan: t2 projection=[t2_id, t2_int]
+physical_plan
+ProjectionExec: expr=[t1_id@0 as t1_id, SUM(t2.t2_int)@1 as t2_sum]
+--CoalesceBatchesExec: target_batch_size=8192
+----HashJoinExec: mode=Partitioned, join_type=Left, on=[(Column { name:
"t1_id", index: 0 }, Column { name: "t2_id", index: 1 })]
+------CoalesceBatchesExec: target_batch_size=8192
+--------RepartitionExec: partitioning=Hash([Column { name: "t1_id", index: 0
}], 4), input_partitions=4
+----------MemoryExec: partitions=4, partition_sizes=[1, 0, 0, 0]
+------ProjectionExec: expr=[SUM(t2.t2_int)@1 as SUM(t2.t2_int), t2_id@0 as
t2_id]
+--------AggregateExec: mode=FinalPartitioned, gby=[t2_id@0 as t2_id],
aggr=[SUM(t2.t2_int)]
+----------CoalesceBatchesExec: target_batch_size=8192
+------------RepartitionExec: partitioning=Hash([Column { name: "t2_id", index:
0 }], 4), input_partitions=4
+--------------AggregateExec: mode=Partial, gby=[t2_id@0 as t2_id],
aggr=[SUM(t2.t2_int)]
+----------------MemoryExec: partitions=4, partition_sizes=[1, 0, 0, 0]
+
+query II
Review Comment:
Yes, I think the unstable is due to result without sorting.
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