wangyum commented on a change in pull request #27632: [SPARK-30872][SQL]
Constraints inferred from inferred attributes
URL: https://github.com/apache/spark/pull/27632#discussion_r384385297
##########
File path: sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
##########
@@ -3404,6 +3404,15 @@ class SQLQuerySuite extends QueryTest with
SharedSparkSession with AdaptiveSpark
""".stripMargin)
checkAnswer(df, Row(Row(1, 2)) :: Nil)
}
+
+ test("SPARK-30872: Constraints inferred from inferred attributes") {
Review comment:
It will throws `TreeNodeException`:
```
[info] - SPARK-30872: Constraints inferred from inferred attributes ***
FAILED *** (146 milliseconds)
[info] org.apache.spark.sql.catalyst.errors.package$TreeNodeException:
Once strategy's idempotence is broken for batch Infer Filters
[info] Aggregate [count(1) AS count(1)#19182L]
Aggregate [count(1) AS count(1)#19182L]
[info] +- Project
+- Project
[info] ! +- Filter ((((((a#19179L = c#19181L) AND isnotnull(b#19180L)) AND
isnotnull(c#19181L)) AND ((b#19180L = 3) OR (b#19180L = 13))) AND
isnotnull(a#19179L)) AND (((a#19179L = b#19180L) AND (b#19180L = c#19181L)) AND
((c#19181L = 3) OR (c#19181L = 13)))) +- Filter (((a#19179L = 3) OR
(a#19179L = 13)) AND ((((((a#19179L = c#19181L) AND isnotnull(b#19180L)) AND
isnotnull(c#19181L)) AND ((b#19180L = 3) OR (b#19180L = 13))) AND
isnotnull(a#19179L)) AND (((a#19179L = b#19180L) AND (b#19180L = c#19181L)) AND
((c#19181L = 3) OR (c#19181L = 13)))))
[info] +- Relation[a#19179L,b#19180L,c#19181L] parquet
+- Relation[a#19179L,b#19180L,c#19181L] parquet
[info] , tree:
[info] Aggregate [count(1) AS count(1)#19182L]
[info] +- Project
[info] +- Filter (((a#19179L = 3) OR (a#19179L = 13)) AND ((((((a#19179L
= c#19181L) AND isnotnull(b#19180L)) AND isnotnull(c#19181L)) AND ((b#19180L =
3) OR (b#19180L = 13))) AND isnotnull(a#19179L)) AND (((a#19179L = b#19180L)
AND (b#19180L = c#19181L)) AND ((c#19181L = 3) OR (c#19181L = 13)))))
[info] +- Relation[a#19179L,b#19180L,c#19181L] parquet
[info] at
org.apache.spark.sql.catalyst.rules.RuleExecutor.checkBatchIdempotence(RuleExecutor.scala:100)
[info] at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1(RuleExecutor.scala:187)
[info] at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$execute$1$adapted(RuleExecutor.scala:132)
[info] at scala.collection.immutable.List.foreach(List.scala:392)
[info] at
org.apache.spark.sql.catalyst.rules.RuleExecutor.execute(RuleExecutor.scala:132)
[info] at
org.apache.spark.sql.catalyst.rules.RuleExecutor.$anonfun$executeAndTrack$1(RuleExecutor.scala:111)
[info] at
org.apache.spark.sql.catalyst.QueryPlanningTracker$.withTracker(QueryPlanningTracker.scala:88)
[info] at
org.apache.spark.sql.catalyst.rules.RuleExecutor.executeAndTrack(RuleExecutor.scala:111)
[info] at
org.apache.spark.sql.execution.QueryExecution.$anonfun$optimizedPlan$1(QueryExecution.scala:82)
[info] at
org.apache.spark.sql.catalyst.QueryPlanningTracker.measurePhase(QueryPlanningTracker.scala:111)
[info] at
org.apache.spark.sql.execution.QueryExecution.$anonfun$executePhase$1(QueryExecution.scala:119)
[info] at
org.apache.spark.sql.SparkSession.withActive(SparkSession.scala:762)
[info] at
org.apache.spark.sql.execution.QueryExecution.executePhase(QueryExecution.scala:119)
[info] at
org.apache.spark.sql.execution.QueryExecution.optimizedPlan$lzycompute(QueryExecution.scala:82)
[info] at
org.apache.spark.sql.execution.QueryExecution.optimizedPlan(QueryExecution.scala:79)
[info] at
org.apache.spark.sql.QueryTest.assertEmptyMissingInput(QueryTest.scala:231)
[info] at org.apache.spark.sql.QueryTest.checkAnswer(QueryTest.scala:154)
[info] at
org.apache.spark.sql.SQLQuerySuite.$anonfun$new$746(SQLQuerySuite.scala:3413)
[info] at
scala.runtime.java8.JFunction0$mcV$sp.apply(JFunction0$mcV$sp.java:23)
```
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