diff --git a/flint-spark-integration/src/main/scala/org/opensearch/flint/spark/FlintSparkIndex.scala b/flint-spark-integration/src/main/scala/org/opensearch/flint/spark/FlintSparkIndex.scala
index 56a928aa5..609fd7b4c 100644
--- a/flint-spark-integration/src/main/scala/org/opensearch/flint/spark/FlintSparkIndex.scala
+++ b/flint-spark-integration/src/main/scala/org/opensearch/flint/spark/FlintSparkIndex.scala
@@ -14,6 +14,7 @@ import org.opensearch.flint.core.metadata.FlintJsonHelper._
 import org.apache.spark.internal.Logging
 import org.apache.spark.sql.{DataFrame, SparkSession}
 import org.apache.spark.sql.catalyst.plans.logical.Aggregate
+import org.apache.spark.sql.catalyst.util.quoteIfNeeded
 import org.apache.spark.sql.flint.datatype.FlintDataType
 import org.apache.spark.sql.functions.{col, concat_ws, expr, sha1, to_json}
 import org.apache.spark.sql.types.{MapType, StructType}
@@ -150,9 +151,9 @@ object FlintSparkIndex extends Logging {
         val allOutputCols = df.schema.fields.map { field =>
           field.dataType match {
             case _: StructType | _: MapType =>
-              to_json(col(field.name))
+              to_json(col(quoteIfNeeded(field.name)))
             case _ =>
-              col(field.name)
+              col(quoteIfNeeded(field.name))
           }
         }
 
diff --git a/flint-spark-integration/src/test/scala/org/apache/spark/FlintSuite.scala b/flint-spark-integration/src/test/scala/org/apache/spark/FlintSuite.scala
index 1d301087f..a6d771534 100644
--- a/flint-spark-integration/src/test/scala/org/apache/spark/FlintSuite.scala
+++ b/flint-spark-integration/src/test/scala/org/apache/spark/FlintSuite.scala
@@ -6,9 +6,12 @@
 package org.apache.spark
 
 import org.opensearch.flint.spark.FlintSparkExtensions
+import org.opensearch.flint.spark.FlintSparkIndex.ID_COLUMN
 
-import org.apache.spark.sql.catalyst.expressions.CodegenObjectFactoryMode
+import org.apache.spark.sql.DataFrame
+import org.apache.spark.sql.catalyst.expressions.{Alias, CodegenObjectFactoryMode, Expression}
 import org.apache.spark.sql.catalyst.optimizer.ConvertToLocalRelation
+import org.apache.spark.sql.catalyst.plans.logical.Project
 import org.apache.spark.sql.flint.config.{FlintConfigEntry, FlintSparkConf}
 import org.apache.spark.sql.flint.config.FlintSparkConf.{EXTERNAL_SCHEDULER_ENABLED, HYBRID_SCAN_ENABLED, METADATA_CACHE_WRITE}
 import org.apache.spark.sql.internal.SQLConf
@@ -68,4 +71,15 @@ trait FlintSuite extends SharedSparkSession {
       setFlintSparkConf(METADATA_CACHE_WRITE, "false")
     }
   }
+
+  protected implicit class DataFrameExtensions(val df: DataFrame) {
+
+    def idColumn(): Option[Expression] = {
+      df.queryExecution.logical.collectFirst { case Project(projectList, _) =>
+        projectList.collectFirst { case Alias(child, ID_COLUMN) =>
+          child
+        }
+      }.flatten
+    }
+  }
 }
diff --git a/flint-spark-integration/src/test/scala/org/opensearch/flint/spark/FlintSparkIndexSuite.scala b/flint-spark-integration/src/test/scala/org/opensearch/flint/spark/FlintSparkIndexSuite.scala
index 8415613e8..6d0d972f6 100644
--- a/flint-spark-integration/src/test/scala/org/opensearch/flint/spark/FlintSparkIndexSuite.scala
+++ b/flint-spark-integration/src/test/scala/org/opensearch/flint/spark/FlintSparkIndexSuite.scala
@@ -10,7 +10,11 @@ import org.scalatest.matchers.should.Matchers
 
 import org.apache.spark.FlintSuite
 import org.apache.spark.sql.{QueryTest, Row}
-import org.apache.spark.sql.types.StructType
+import org.apache.spark.sql.catalyst.analysis.UnresolvedAttribute
+import org.apache.spark.sql.catalyst.expressions.{Add, ConcatWs, Literal, Sha1, StructsToJson}
+import org.apache.spark.sql.functions.col
+import org.apache.spark.sql.types.{StringType, StructType}
+import org.apache.spark.unsafe.types.UTF8String
 
 class FlintSparkIndexSuite extends QueryTest with FlintSuite with Matchers {
 
@@ -19,6 +23,7 @@ class FlintSparkIndexSuite extends QueryTest with FlintSuite with Matchers {
     val options = new FlintSparkIndexOptions(Map("id_expression" -> "id + 10"))
 
     val resultDf = addIdColumn(df, options)
+    resultDf.idColumn() shouldBe Some(Add(UnresolvedAttribute("id"), Literal(10)))
     checkAnswer(resultDf.select(ID_COLUMN), Seq(Row(11), Row(12)))
   }
 
@@ -47,7 +52,37 @@ class FlintSparkIndexSuite extends QueryTest with FlintSuite with Matchers {
     val options = FlintSparkIndexOptions.empty
 
     val resultDf = addIdColumn(df, options)
-    resultDf.columns should contain(ID_COLUMN)
+    resultDf.idColumn() shouldBe Some(
+      Sha1(
+        ConcatWs(
+          Seq(
+            Literal(UTF8String.fromString("\0"), StringType),
+            UnresolvedAttribute(Seq("name")),
+            UnresolvedAttribute(Seq("count"))))))
+    resultDf.select(ID_COLUMN).distinct().count() shouldBe 2
+  }
+
+  test("should add ID column for aggregated query with quoted alias") {
+    val df = spark
+      .createDataFrame(
+        sparkContext.parallelize(
+          Seq(
+            Row(1, "Alice", Row("WA", "Seattle")),
+            Row(2, "Bob", Row("OR", "Portland")),
+            Row(3, "Alice", Row("WA", "Seattle")))),
+        StructType.fromDDL("id INT, name STRING, address STRUCT<state: STRING, city: String>"))
+      .toDF("id", "name", "address")
+      .groupBy(col("name").as("test.name"), col("address").as("test.address"))
+      .count()
+    val options = FlintSparkIndexOptions.empty
+
+    val resultDf = addIdColumn(df, options)
+    resultDf.idColumn() shouldBe Some(
+      Sha1(ConcatWs(Seq(
+        Literal(UTF8String.fromString("\0"), StringType),
+        UnresolvedAttribute(Seq("test.name")),
+        new StructsToJson(UnresolvedAttribute(Seq("test.address"))),
+        UnresolvedAttribute(Seq("count"))))))
     resultDf.select(ID_COLUMN).distinct().count() shouldBe 2
   }
 
@@ -92,7 +127,20 @@ class FlintSparkIndexSuite extends QueryTest with FlintSuite with Matchers {
     val options = FlintSparkIndexOptions.empty
 
     val resultDf = addIdColumn(aggregatedDf, options)
-    resultDf.columns should contain(ID_COLUMN)
+    resultDf.idColumn() shouldBe Some(
+      Sha1(ConcatWs(Seq(
+        Literal(UTF8String.fromString("\0"), StringType),
+        UnresolvedAttribute(Seq("boolean_col")),
+        UnresolvedAttribute(Seq("string_col")),
+        UnresolvedAttribute(Seq("long_col")),
+        UnresolvedAttribute(Seq("int_col")),
+        UnresolvedAttribute(Seq("double_col")),
+        UnresolvedAttribute(Seq("float_col")),
+        UnresolvedAttribute(Seq("timestamp_col")),
+        UnresolvedAttribute(Seq("date_col")),
+        new StructsToJson(UnresolvedAttribute(Seq("struct_col"))),
+        UnresolvedAttribute(Seq("subfield2")),
+        UnresolvedAttribute(Seq("count"))))))
     resultDf.select(ID_COLUMN).distinct().count() shouldBe 1
   }
 }
diff --git a/flint-spark-integration/src/test/scala/org/opensearch/flint/spark/mv/FlintSparkMaterializedViewSuite.scala b/flint-spark-integration/src/test/scala/org/opensearch/flint/spark/mv/FlintSparkMaterializedViewSuite.scala
index 200efbe97..7774eb2fb 100644
--- a/flint-spark-integration/src/test/scala/org/opensearch/flint/spark/mv/FlintSparkMaterializedViewSuite.scala
+++ b/flint-spark-integration/src/test/scala/org/opensearch/flint/spark/mv/FlintSparkMaterializedViewSuite.scala
@@ -7,10 +7,9 @@ package org.opensearch.flint.spark.mv
 
 import scala.collection.JavaConverters.{mapAsJavaMapConverter, mapAsScalaMapConverter}
 
-import org.opensearch.flint.spark.FlintSparkIndex.ID_COLUMN
 import org.opensearch.flint.spark.FlintSparkIndexOptions
 import org.opensearch.flint.spark.mv.FlintSparkMaterializedView.MV_INDEX_TYPE
-import org.opensearch.flint.spark.mv.FlintSparkMaterializedViewSuite.{streamingRelation, DataFrameIdColumnExtractor, StreamingDslLogicalPlan}
+import org.opensearch.flint.spark.mv.FlintSparkMaterializedViewSuite.{streamingRelation, StreamingDslLogicalPlan}
 import org.scalatest.matchers.should.Matchers._
 import org.scalatestplus.mockito.MockitoSugar.mock
 
@@ -19,8 +18,8 @@ import org.apache.spark.sql.{DataFrame, Row}
 import org.apache.spark.sql.catalyst.analysis.{UnresolvedAttribute, UnresolvedRelation}
 import org.apache.spark.sql.catalyst.dsl.expressions.{intToLiteral, stringToLiteral, DslAttr, DslExpression, StringToAttributeConversionHelper}
 import org.apache.spark.sql.catalyst.dsl.plans.DslLogicalPlan
-import org.apache.spark.sql.catalyst.expressions.{Alias, Attribute, ConcatWs, Expression, Literal, Sha1}
-import org.apache.spark.sql.catalyst.plans.logical.{EventTimeWatermark, LogicalPlan, Project}
+import org.apache.spark.sql.catalyst.expressions.{Attribute, ConcatWs, Literal, Sha1}
+import org.apache.spark.sql.catalyst.plans.logical.{EventTimeWatermark, LogicalPlan}
 import org.apache.spark.sql.catalyst.util.IntervalUtils
 import org.apache.spark.sql.types.StringType
 import org.apache.spark.sql.util.CaseInsensitiveStringMap
@@ -385,15 +384,4 @@ object FlintSparkMaterializedViewSuite {
         logicalPlan)
     }
   }
-
-  implicit class DataFrameIdColumnExtractor(val df: DataFrame) {
-
-    def idColumn(): Option[Expression] = {
-      df.queryExecution.logical.collectFirst { case Project(projectList, _) =>
-        projectList.collectFirst { case Alias(child, ID_COLUMN) =>
-          child
-        }
-      }.flatten
-    }
-  }
 }