Address comments.

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFiltersBase.scala

@@ -43,9 +43,11 @@ trait OrcFiltersBase {
    * This method returns a map which contains ORC field name and data type. Each key
    * represents a column; `dots` are used as separators for nested columns. If any part
    * of the names contains `dots`, it is quoted to avoid confusion. See
-   * `org.apache.spark.sql.connector.catalog.quote` for implementation details.
+   * `org.apache.spark.sql.connector.catalog.quoted` for implementation details.
+   *
+   * BinaryType, UserDefinedType, ArrayType and MapType are ignored.
    */
-  protected[sql] def getNameToOrcFieldMap(
+  protected[sql] def isSearchableType(
       schema: StructType,
       caseSensitive: Boolean): Map[String, DataType] = {
     import org.apache.spark.sql.connector.catalog.CatalogV2Implicits.MultipartIdentifierHelper
@@ -69,11 +71,10 @@ trait OrcFiltersBase {
     if (caseSensitive) {
       primitiveFields.toMap
     } else {
-      // Don't consider ambiguity here, i.e. more than one field is matched in case insensitive
+      // Don't consider ambiguity here, i.e. more than one field are matched in case insensitive
       // mode, just skip pushdown for these fields, they will trigger Exception when reading,
       // See: SPARK-25175.
-      val dedupPrimitiveFields =
-      primitiveFields
+      val dedupPrimitiveFields = primitiveFields
         .groupBy(_._1.toLowerCase(Locale.ROOT))
         .filter(_._2.size == 1)
         .mapValues(_.head._2)

sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/orc/OrcScanBuilder.scala

@@ -61,7 +61,7 @@ case class OrcScanBuilder(
         // changed `hadoopConf` in executors.
         OrcInputFormat.setSearchArgument(hadoopConf, f, schema.fieldNames)
       }
-      val dataTypeMap = OrcFilters.getNameToOrcFieldMap(schema, SQLConf.get.caseSensitiveAnalysis)
+      val dataTypeMap = OrcFilters.isSearchableType(schema, SQLConf.get.caseSensitiveAnalysis)
       _pushedFilters = OrcFilters.convertibleFilters(schema, dataTypeMap, filters).toArray
     }
     filters

sql/core/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcTest.scala

@@ -78,7 +78,7 @@ abstract class OrcTest extends QueryTest with FileBasedDataSourceTest with Befor
       (f: String => Unit): Unit = withDataSourceFile(data)(f)
 
   /**
-   * Writes `date` dataframe to a Orc file and reads it back as a `DataFrame`,
+   * Writes `data` to a Orc file and reads it back as a `DataFrame`,
    * which is then passed to `f`. The Orc file will be deleted after `f` returns.
    */
   protected def withOrcDataFrame[T <: Product: ClassTag: TypeTag]
@@ -149,7 +149,7 @@ abstract class OrcTest extends QueryTest with FileBasedDataSourceTest with Befor
    * dataframes as new test data. It tests both non-nested and nested dataframes
    * which are written and read back with Orc datasource.
    *
-   * This is different from [[OrcTest.withOrcDataFrame]] which does not
+   * This is different from [[withOrcDataFrame]] which does not
    * test nested cases.
    */
   protected def withNestedOrcDataFrame[T <: Product: ClassTag: TypeTag](data: Seq[T])

sql/core/v1.2/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFilters.scala

@@ -68,7 +68,7 @@ private[sql] object OrcFilters extends OrcFiltersBase {
    * Create ORC filter as a SearchArgument instance.
    */
   def createFilter(schema: StructType, filters: Seq[Filter]): Option[SearchArgument] = {
-    val dataTypeMap = OrcFilters.getNameToOrcFieldMap(schema, SQLConf.get.caseSensitiveAnalysis)
+    val dataTypeMap = OrcFilters.isSearchableType(schema, SQLConf.get.caseSensitiveAnalysis)
     // Combines all convertible filters using `And` to produce a single conjunction
     val conjunctionOptional = buildTree(convertibleFilters(schema, dataTypeMap, filters))
     conjunctionOptional.map { conjunction =>
@@ -226,8 +226,6 @@ private[sql] object OrcFilters extends OrcFiltersBase {
     // NOTE: For all case branches dealing with leaf predicates below, the additional `startAnd()`
     // call is mandatory. ORC `SearchArgument` builder requires that all leaf predicates must be
     // wrapped by a "parent" predicate (`And`, `Or`, or `Not`).
-    // Since ORC 1.5.0 (ORC-323), we need to quote for column names with `.` characters
-    // in order to distinguish predicate pushdown for nested columns.
     expression match {
       case EqualTo(name, value) if dataTypeMap.contains(name) =>
         val castedValue = castLiteralValue(value, dataTypeMap(name))

sql/core/v2.3/src/main/scala/org/apache/spark/sql/execution/datasources/orc/OrcFilters.scala

@@ -68,7 +68,7 @@ private[sql] object OrcFilters extends OrcFiltersBase {
    * Create ORC filter as a SearchArgument instance.
    */
   def createFilter(schema: StructType, filters: Seq[Filter]): Option[SearchArgument] = {
-    val dataTypeMap = OrcFilters.getNameToOrcFieldMap(schema, SQLConf.get.caseSensitiveAnalysis)
+    val dataTypeMap = OrcFilters.isSearchableType(schema, SQLConf.get.caseSensitiveAnalysis)
     // Combines all convertible filters using `And` to produce a single conjunction
     val conjunctionOptional = buildTree(convertibleFilters(schema, dataTypeMap, filters))
     conjunctionOptional.map { conjunction =>
@@ -226,8 +226,6 @@ private[sql] object OrcFilters extends OrcFiltersBase {
     // NOTE: For all case branches dealing with leaf predicates below, the additional `startAnd()`
     // call is mandatory. ORC `SearchArgument` builder requires that all leaf predicates must be
     // wrapped by a "parent" predicate (`And`, `Or`, or `Not`).
-    // Since ORC 1.5.0 (ORC-323), we need to quote for column names with `.` characters
-    // in order to distinguish predicate pushdown for nested columns.
     expression match {
       case EqualTo(name, value) if dataTypeMap.contains(name) =>
         val castedValue = castLiteralValue(value, dataTypeMap(name))

sql/core/v2.3/src/test/scala/org/apache/spark/sql/execution/datasources/orc/OrcFilterSuite.scala

@@ -173,7 +173,7 @@ class OrcFilterSuite extends OrcTest with SharedSparkSession {
 
   test("filter pushdown - double") {
     withNestedOrcDataFrame(
-      (1 to 4).map(i => Tuple1(Option(i.toDouble)))) { case (inputDF, colName, _) =>
+        (1 to 4).map(i => Tuple1(Option(i.toDouble)))) { case (inputDF, colName, _) =>
       implicit val df: DataFrame = inputDF
 
       val doubleAttr = df(colName).expr
@@ -254,8 +254,8 @@ class OrcFilterSuite extends OrcTest with SharedSparkSession {
   }
 
   test("filter pushdown - decimal") {
-    withNestedOrcDataFrame((1 to 4)
-      .map(i => Tuple1.apply(BigDecimal.valueOf(i)))) { case (inputDF, colName, _) =>
+    withNestedOrcDataFrame(
+        (1 to 4).map(i => Tuple1.apply(BigDecimal.valueOf(i)))) { case (inputDF, colName, _) =>
       implicit val df: DataFrame = inputDF
 
       val decimalAttr = df(colName).expr