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https://issues.apache.org/jira/browse/SPARK-26402?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16727529#comment-16727529
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ASF GitHub Bot commented on SPARK-26402:
----------------------------------------

asfgit closed pull request #23353: [SPARK-26402][SQL] Accessing nested fields 
with different cases in case insensitive mode
URL: https://github.com/apache/spark/pull/23353
 
 
   

This is a PR merged from a forked repository.
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the sake of provenance:

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diff --git 
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Canonicalize.scala
 
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Canonicalize.scala
index fe6db8b344d3d..4d218b936b3a2 100644
--- 
a/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Canonicalize.scala
+++ 
b/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Canonicalize.scala
@@ -26,6 +26,7 @@ package org.apache.spark.sql.catalyst.expressions
  *
  * The following rules are applied:
  *  - Names and nullability hints for [[org.apache.spark.sql.types.DataType]]s 
are stripped.
+ *  - Names for [[GetStructField]] are stripped.
  *  - Commutative and associative operations ([[Add]] and [[Multiply]]) have 
their children ordered
  *    by `hashCode`.
  *  - [[EqualTo]] and [[EqualNullSafe]] are reordered by `hashCode`.
@@ -37,10 +38,11 @@ object Canonicalize {
     expressionReorder(ignoreNamesTypes(e))
   }
 
-  /** Remove names and nullability from types. */
+  /** Remove names and nullability from types, and names from 
`GetStructField`. */
   private[expressions] def ignoreNamesTypes(e: Expression): Expression = e 
match {
     case a: AttributeReference =>
       AttributeReference("none", a.dataType.asNullable)(exprId = a.exprId)
+    case GetStructField(child, ordinal, Some(_)) => GetStructField(child, 
ordinal, None)
     case _ => e
   }
 
diff --git 
a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CanonicalizeSuite.scala
 
b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CanonicalizeSuite.scala
index 28e6940f3cca3..9802a6e5891b8 100644
--- 
a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CanonicalizeSuite.scala
+++ 
b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CanonicalizeSuite.scala
@@ -20,6 +20,7 @@ package org.apache.spark.sql.catalyst.expressions
 import org.apache.spark.SparkFunSuite
 import org.apache.spark.sql.catalyst.dsl.plans._
 import org.apache.spark.sql.catalyst.plans.logical.Range
+import org.apache.spark.sql.types.{IntegerType, StructField, StructType}
 
 class CanonicalizeSuite extends SparkFunSuite {
 
@@ -50,4 +51,32 @@ class CanonicalizeSuite extends SparkFunSuite {
     assert(range.where(arrays1).sameResult(range.where(arrays2)))
     assert(!range.where(arrays1).sameResult(range.where(arrays3)))
   }
+
+  test("SPARK-26402: accessing nested fields with different cases in case 
insensitive mode") {
+    val expId = NamedExpression.newExprId
+    val qualifier = Seq.empty[String]
+    val structType = StructType(
+      StructField("a", StructType(StructField("b", IntegerType, false) :: 
Nil), false) :: Nil)
+
+    // GetStructField with different names are semantically equal
+    val fieldA1 = GetStructField(
+      AttributeReference("data1", structType, false)(expId, qualifier),
+      0, Some("a1"))
+    val fieldA2 = GetStructField(
+      AttributeReference("data2", structType, false)(expId, qualifier),
+      0, Some("a2"))
+    assert(fieldA1.semanticEquals(fieldA2))
+
+    val fieldB1 = GetStructField(
+      GetStructField(
+        AttributeReference("data1", structType, false)(expId, qualifier),
+        0, Some("a1")),
+      0, Some("b1"))
+    val fieldB2 = GetStructField(
+      GetStructField(
+        AttributeReference("data2", structType, false)(expId, qualifier),
+        0, Some("a2")),
+      0, Some("b2"))
+    assert(fieldB1.semanticEquals(fieldB2))
+  }
 }
diff --git 
a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/BinaryComparisonSimplificationSuite.scala
 
b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/BinaryComparisonSimplificationSuite.scala
index a313681eeb8f0..5794691a365a9 100644
--- 
a/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/BinaryComparisonSimplificationSuite.scala
+++ 
b/sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/optimizer/BinaryComparisonSimplificationSuite.scala
@@ -25,6 +25,7 @@ import 
org.apache.spark.sql.catalyst.expressions.Literal.{FalseLiteral, TrueLite
 import org.apache.spark.sql.catalyst.plans.PlanTest
 import org.apache.spark.sql.catalyst.plans.logical._
 import org.apache.spark.sql.catalyst.rules._
+import org.apache.spark.sql.types.{IntegerType, StructField, StructType}
 
 class BinaryComparisonSimplificationSuite extends PlanTest with 
PredicateHelper {
 
@@ -92,4 +93,33 @@ class BinaryComparisonSimplificationSuite extends PlanTest 
with PredicateHelper
     val correctAnswer = nonNullableRelation.analyze
     comparePlans(actual, correctAnswer)
   }
+
+  test("SPARK-26402: accessing nested fields with different cases in case 
insensitive mode") {
+    val expId = NamedExpression.newExprId
+    val qualifier = Seq.empty[String]
+    val structType = StructType(
+      StructField("a", StructType(StructField("b", IntegerType, false) :: 
Nil), false) :: Nil)
+
+    val fieldA1 = GetStructField(
+      GetStructField(
+        AttributeReference("data1", structType, false)(expId, qualifier),
+        0, Some("a1")),
+      0, Some("b1"))
+    val fieldA2 = GetStructField(
+      GetStructField(
+        AttributeReference("data2", structType, false)(expId, qualifier),
+        0, Some("a2")),
+      0, Some("b2"))
+
+    // GetStructField with different names are semantically equal; thus, 
`EqualTo(fieldA1, fieldA2)`
+    // will be optimized to `TrueLiteral` by `SimplifyBinaryComparison`.
+    val originalQuery = nonNullableRelation
+        .where(EqualTo(fieldA1, fieldA2))
+        .analyze
+
+    val optimized = Optimize.execute(originalQuery)
+    val correctAnswer = nonNullableRelation.analyze
+
+    comparePlans(optimized, correctAnswer)
+  }
 }
diff --git a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala 
b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
index 37a8815350a53..656da9fa01806 100644
--- a/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
+++ b/sql/core/src/test/scala/org/apache/spark/sql/SQLQuerySuite.scala
@@ -2937,6 +2937,25 @@ class SQLQuerySuite extends QueryTest with 
SharedSQLContext {
       }
     }
   }
+
+  test("SPARK-26402: accessing nested fields with different cases in case 
insensitive mode") {
+    withSQLConf(SQLConf.CASE_SENSITIVE.key -> "true") {
+      val msg = intercept[AnalysisException] {
+        withTable("t") {
+          sql("create table t (s struct<i: Int>) using json")
+          checkAnswer(sql("select s.I from t group by s.i"), Nil)
+        }
+      }.message
+      assert(msg.contains("No such struct field I in i"))
+    }
+
+    withSQLConf(SQLConf.CASE_SENSITIVE.key -> "false") {
+      withTable("t") {
+        sql("create table t (s struct<i: Int>) using json")
+        checkAnswer(sql("select s.I from t group by s.i"), Nil)
+      }
+    }
+  }
 }
 
 case class Foo(bar: Option[String])


 

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> Accessing nested fields with different cases in case insensitive mode
> ---------------------------------------------------------------------
>
>                 Key: SPARK-26402
>                 URL: https://issues.apache.org/jira/browse/SPARK-26402
>             Project: Spark
>          Issue Type: Sub-task
>          Components: SQL
>    Affects Versions: 2.4.0
>            Reporter: DB Tsai
>            Assignee: DB Tsai
>            Priority: Major
>
> {{GetStructField}} with different optional names should be semantically 
> equal. We will use this as building block to compare the nested fields used 
> in the plans to be optimized by catalyst optimizer.
> This PR also fixes a bug below that accessing nested fields with different 
> cases in case insensitive mode will result result {{AnalysisException}}.
> {code:java}
> sql("create table t (s struct<i: Int>) using json")
> sql("select s.I from t group by s.i")
> {code}
> which is currently failing
> {code:java}
> org.apache.spark.sql.AnalysisException: expression 'default.t.`s`' is neither 
> present in the group by, nor is it an aggregate function
> {code}
>  



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