LuciferYang commented on a change in pull request #29434:
URL: https://github.com/apache/spark/pull/29434#discussion_r471063884
##########
File path:
sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/StarJoinCostBasedReorderSuite.scala
##########
@@ -351,6 +351,18 @@ class StarJoinCostBasedReorderSuite extends PlanTest with
StatsEstimationTestBas
.join(t5.join(t6, Inner, Some(nameToAttr("t5_c2") ===
nameToAttr("t6_c2"))), Inner,
Some(nameToAttr("d2_c2") === nameToAttr("t5_c1")))
.select(outputsOf(d1, t3, t4, f1, d2, t5, t6, d3, t1, t2): _*)
+ } else {
Review comment:
For this case:
In Scala 2.12, the plans level 0 ~ level 4 of `foundPlans` are
```
level 0: (t4 ), (d2 ), (t5 ), (d3 ), (d1 ), (f1 ), (t2 ), (t6 ), (t1 ), (t3 )
level 1: {t5 t6 }, {t4 t3 }, {d3 f1 }, {t2 t1 }, {d2 f1 }, {d1 f1 }
level 2: {d2 d1 f1 }, {d2 d3 f1 }, {d3 d1 f1 }
level 3: {d2 d1 d3 f1 }
```
In the level 3, the `newJoinPlan` produce order are:
```
Join Inner, (d1_pk#5 = f1_fk1#0)
:- Join Inner, (f1_fk2#1 = d2_pk#8)
: :- Join Inner, (f1_fk3#2 = d3_pk#11)
```
then
```
Join Inner, (f1_fk2#1 = d2_pk#8)
:- Join Inner, (d1_pk#5 = f1_fk1#0)
: :- Join Inner, (f1_fk3#2 = d3_pk#11)
```
The Cost of 2 candidates both `Cost(200,9200)` and we choose the first
generated one, so the expected result is
```
f1.join(d3, Inner, Some(nameToAttr("f1_fk3") === nameToAttr("d3_pk")))
.join(d1, Inner, Some(nameToAttr("f1_fk1") === nameToAttr("d1_pk")))
.join(d2, Inner, Some(nameToAttr("f1_fk2") === nameToAttr("d2_pk")))
...
```
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