uros-b commented on code in PR #56334:
URL: https://github.com/apache/spark/pull/56334#discussion_r3467927078


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sql/api/src/main/scala/org/apache/spark/sql/util/ArrowUtils.scala:
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@@ -38,6 +38,50 @@ private[sql] object ArrowUtils {
 
   // todo: support more types.
 
+  /**
+   * Check if a Spark DataType is supported by Arrow. This recursively checks 
complex types
+   * (Array, Struct, Map).
+   *
+   * Note: This checks compatibility with toArrowField(), not toArrowType(). 
Types like
+   * GeometryType, GeographyType, and VariantType are not supported by 
toArrowType() (which only
+   * handles primitive Arrow types), but ARE supported by toArrowField() which 
converts them to
+   * Arrow Struct representations with metadata. Since Arrow cache uses 
toArrowField() via
+   * toArrowSchema() to create the schema, these types are supported.
+   */
+  def isSupportedByArrow(dt: DataType): Boolean = {
+    dt match {
+      // Primitive types
+      case BooleanType | ByteType | ShortType | IntegerType | LongType | 
FloatType | DoubleType |
+          _: StringType | BinaryType | NullType =>
+        true
+
+      // Decimal
+      case _: DecimalType => true
+
+      // Temporal types
+      case DateType | TimestampType | TimestampNTZType | _: TimeType => true

Review Comment:
   cc @MaxGekk to take a look ^^



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