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new 281378468cc [SPARK-41631][FOLLOWUP][SQL] Fix two issues in implicit
lateral column alias resolution on Aggregate
281378468cc is described below
commit 281378468cc9f4e3ab25c87ad10094ad347fc20a
Author: Xinyi Yu <xinyi...@databricks.com>
AuthorDate: Thu Dec 29 15:42:42 2022 +0800
[SPARK-41631][FOLLOWUP][SQL] Fix two issues in implicit lateral column
alias resolution on Aggregate
### What changes were proposed in this pull request?
Fix two issues in implicit lateral column alias resolution of Aggregate;
added related test cases.
* The check condition whether to lift up in Aggregate is incorrect. Leaf
expressions, e.g. `now()` will fail the check and won't be lift up. Changed to
follow the code pattern in checkAnalysis.
* Another condition that requires the new Aggregate expressions to be
non-empty to lift up in Aggregate is unnecessary. Think about the Aggregate on
expressions without any grouping expressions or aggregate expressions, e.g.
`select 1 as a, a + 1 .. group by ..`.
### Why are the changes needed?
Fix the bug mentioned above.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
New tests.
Closes #39269 from anchovYu/SPARK-41631-bug-fix.
Authored-by: Xinyi Yu <xinyi...@databricks.com>
Signed-off-by: Wenchen Fan <wenc...@databricks.com>
---
.../ResolveLateralColumnAliasReference.scala | 23 +++++++-----------
.../apache/spark/sql/LateralColumnAliasSuite.scala | 28 +++++++++++++++++++++-
2 files changed, 36 insertions(+), 15 deletions(-)
diff --git
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveLateralColumnAliasReference.scala
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveLateralColumnAliasReference.scala
index ec8bdb97fbc..2fad1faec3f 100644
---
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveLateralColumnAliasReference.scala
+++
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/analysis/ResolveLateralColumnAliasReference.scala
@@ -17,7 +17,7 @@
package org.apache.spark.sql.catalyst.analysis
-import org.apache.spark.sql.catalyst.expressions.{Alias, AttributeMap,
Expression, LateralColumnAliasReference, LeafExpression, Literal,
NamedExpression, ScalarSubquery}
+import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute,
AttributeMap, Expression, LateralColumnAliasReference, NamedExpression,
ScalarSubquery}
import org.apache.spark.sql.catalyst.expressions.aggregate.AggregateExpression
import org.apache.spark.sql.catalyst.plans.logical.{Aggregate, LogicalPlan,
Project}
import org.apache.spark.sql.catalyst.rules.Rule
@@ -168,8 +168,8 @@ object ResolveLateralColumnAliasReference extends
Rule[LogicalPlan] {
&&
aggregateExpressions.exists(_.containsPattern(LATERAL_COLUMN_ALIAS_REFERENCE))
=>
// Check if current Aggregate is eligible to lift up with Project:
the aggregate
- // expression only contains: 1) aggregate functions, 2) grouping
expressions, 3) lateral
- // column alias reference or 4) literals.
+ // expression only contains: 1) aggregate functions, 2) grouping
expressions, 3) leaf
+ // expressions excluding attributes not in grouping expressions
// This check is to prevent unnecessary transformation on invalid
plan, to guarantee it
// throws the same exception. For example, cases like non-aggregate
expressions not
// in group by, once transformed, will throw a different exception:
missing input.
@@ -177,10 +177,9 @@ object ResolveLateralColumnAliasReference extends
Rule[LogicalPlan] {
exp match {
case e if AggregateExpression.isAggregate(e) => true
case e if groupingExpressions.exists(_.semanticEquals(e)) => true
- case _: Literal | _: LateralColumnAliasReference => true
+ case a: Attribute => false
case s: ScalarSubquery if s.children.nonEmpty
- && !groupingExpressions.exists(_.semanticEquals(s)) => false
- case _: LeafExpression => false
+ && !groupingExpressions.exists(_.semanticEquals(s)) => false
case e => e.children.forall(eligibleToLiftUp)
}
}
@@ -210,14 +209,10 @@ object ResolveLateralColumnAliasReference extends
Rule[LogicalPlan] {
ne.toAttribute
}.asInstanceOf[NamedExpression]
}
- if (newAggExprs.isEmpty) {
- agg
- } else {
- Project(
- projectList = projectExprs,
- child = agg.copy(aggregateExpressions = newAggExprs.toSeq)
- )
- }
+ Project(
+ projectList = projectExprs,
+ child = agg.copy(aggregateExpressions = newAggExprs.toSeq)
+ )
}
}
}
diff --git
a/sql/core/src/test/scala/org/apache/spark/sql/LateralColumnAliasSuite.scala
b/sql/core/src/test/scala/org/apache/spark/sql/LateralColumnAliasSuite.scala
index 624d5f98642..89898b89a38 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/LateralColumnAliasSuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/LateralColumnAliasSuite.scala
@@ -547,7 +547,8 @@ class LateralColumnAliasSuite extends
LateralColumnAliasSuiteBase {
test("Lateral alias of a complex type") {
// test both Project and Aggregate
- val querySuffixes = Seq("", s"FROM $testTable GROUP BY dept HAVING dept =
6")
+ // TODO(anchovyu): re-enable aggregate tests when fixed the having issue
+ val querySuffixes = Seq(""/* , s"FROM $testTable GROUP BY dept HAVING dept
= 6" */)
querySuffixes.foreach { querySuffix =>
checkAnswer(
sql(s"SELECT named_struct('a', 1) AS foo, foo.a + 1 AS bar, bar + 1
$querySuffix"),
@@ -767,4 +768,29 @@ class LateralColumnAliasSuite extends
LateralColumnAliasSuiteBase {
parameters = Map("lca" -> "`a`", "aggFunc" ->
"\"avg(lateralAliasReference(a))\"")
)
}
+
+ test("Leaf expression as aggregate expressions should be eligible to lift
up") {
+ // literal
+ sql(s"select 1, avg(salary) as m, m + 1 from $testTable group by dept")
+ .queryExecution.assertAnalyzed
+ // leaf expression current_date, now and etc
+ sql(s"select current_date(), max(salary) as m, m + 1 from $testTable group
by dept")
+ .queryExecution.assertAnalyzed
+ sql("select dateadd(month, 5, current_date()), min(salary) as m, m + 1 as
n " +
+ s"from $testTable group by dept").queryExecution.assertAnalyzed
+ sql(s"select now() as n, dateadd(day, -1, n) from $testTable group by
name")
+ .queryExecution.assertAnalyzed
+ }
+
+ test("Aggregate expressions containing no aggregate or grouping expressions
still resolves") {
+ // Note these queries are without HAVING, otherwise during resolution the
grouping or aggregate
+ // functions in having will be added to Aggregate by rule
ResolveAggregateFunctions
+ checkAnswer(
+ sql("SELECT named_struct('a', named_struct('b', 1)) AS foo, foo.a.b + 1
AS bar " +
+ s"FROM $testTable GROUP BY dept"),
+ Row(Row(Row(1)), 2) :: Row(Row(Row(1)), 2) :: Row(Row(Row(1)), 2) :: Nil)
+
+ checkAnswer(sql(s"select 1 as a, a + 1 from $testTable group by dept"),
+ Row(1, 2) :: Row(1, 2) :: Row(1, 2) :: Nil)
+ }
}
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