zhengruifeng edited a comment on pull request #34367:
URL: https://github.com/apache/spark/pull/34367#issuecomment-978884601
@wangyum
this PR was updated to support `rank` and `dense_rank`
```
scala> spark.conf.set("spark.sql.rankLimit.enabled", "true")
scala> spark.sql("""SELECT a, b, rank() OVER (PARTITION BY a ORDER BY b) as
rk FROM VALUES ('A1', 1), ('A1', 1), ('A2', 3), ('A1', 1) tab(a,
b);""").where("rk = 1").queryExecution.optimizedPlan
res1: org.apache.spark.sql.catalyst.plans.logical.LogicalPlan =
Filter (rk#0 = 1)
+- Window [rank(b#4) windowspecdefinition(a#3, b#4 ASC NULLS FIRST,
specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS rk#0],
[a#3], [b#4 ASC NULLS FIRST]
+- RankLimit [a#3], [b#4 ASC NULLS FIRST], rank(b#4), 1
+- LocalRelation [a#3, b#4]
scala> spark.sql("""SELECT a, b, rank() OVER (PARTITION BY a ORDER BY b) as
rk FROM VALUES ('A1', 1), ('A1', 1), ('A2', 3), ('A1', 1) tab(a,
b);""").where("rk = 1").show
+---+---+---+
| a| b| rk|
+---+---+---+
| A1| 1| 1|
| A1| 1| 1|
| A1| 1| 1|
| A2| 3| 1|
+---+---+---+
```
```
== Physical Plan ==
AdaptiveSparkPlan (17)
+- == Final Plan ==
* Project (10)
+- * Filter (9)
+- Window (8)
+- * Sort (7)
+- AQEShuffleRead (6)
+- ShuffleQueryStage (5)
+- Exchange (4)
+- RankLimit (3)
+- * Sort (2)
+- * LocalTableScan (1)
+- == Initial Plan ==
Project (16)
+- Filter (15)
+- Window (14)
+- Sort (13)
+- Exchange (12)
+- RankLimit (11)
+- Sort (2)
+- LocalTableScan (1)
(1) LocalTableScan [codegen id : 1]
Output [2]: [a#17, b#18]
Arguments: [a#17, b#18]
(2) Sort [codegen id : 1]
Input [2]: [a#17, b#18]
Arguments: [a#17 ASC NULLS FIRST, b#18 ASC NULLS FIRST], false, 0
(3) RankLimit
Input [2]: [a#17, b#18]
Arguments: [a#17], [b#18 ASC NULLS FIRST], rank(b#18), 1
(4) Exchange
Input [2]: [a#17, b#18]
Arguments: hashpartitioning(a#17, 200), ENSURE_REQUIREMENTS, [id=#37]
(5) ShuffleQueryStage
Output [2]: [a#17, b#18]
Arguments: 0
(6) AQEShuffleRead
Input [2]: [a#17, b#18]
Arguments: coalesced
(7) Sort [codegen id : 2]
Input [2]: [a#17, b#18]
Arguments: [a#17 ASC NULLS FIRST, b#18 ASC NULLS FIRST], false, 0
(8) Window
Input [2]: [a#17, b#18]
Arguments: [rank(b#18) windowspecdefinition(a#17, b#18 ASC NULLS FIRST,
specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS
rk#14], [a#17], [b#18 ASC NULLS FIRST]
(9) Filter [codegen id : 3]
Input [3]: [a#17, b#18, rk#14]
Condition : (rk#14 = 1)
(10) Project [codegen id : 3]
Output [3]: [a#17, cast(b#18 as string) AS b#32, cast(rk#14 as string) AS
rk#33]
Input [3]: [a#17, b#18, rk#14]
(11) RankLimit
Input [2]: [a#17, b#18]
Arguments: [a#17], [b#18 ASC NULLS FIRST], rank(b#18), 1
(12) Exchange
Input [2]: [a#17, b#18]
Arguments: hashpartitioning(a#17, 200), ENSURE_REQUIREMENTS, [id=#23]
(13) Sort
Input [2]: [a#17, b#18]
Arguments: [a#17 ASC NULLS FIRST, b#18 ASC NULLS FIRST], false, 0
(14) Window
Input [2]: [a#17, b#18]
Arguments: [rank(b#18) windowspecdefinition(a#17, b#18 ASC NULLS FIRST,
specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())) AS
rk#14], [a#17], [b#18 ASC NULLS FIRST]
(15) Filter
Input [3]: [a#17, b#18, rk#14]
Condition : (rk#14 = 1)
(16) Project
Output [3]: [a#17, cast(b#18 as string) AS b#32, cast(rk#14 as string) AS
rk#33]
Input [3]: [a#17, b#18, rk#14]
(17) AdaptiveSparkPlan
Output [3]: [a#17, b#32, rk#33]
Arguments: isFinalPlan=true
```
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