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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. As GitHub hides the original diff on merge, it is displayed below for the sake of provenance: As this is a foreign pull request (from a fork), the diff is supplied below (as it won't show otherwise due to GitHub magic): 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]) ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: us...@infra.apache.org > 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} > -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org