dramaticlly commented on code in PR #18537:
URL: https://github.com/apache/iceberg/pull/18537#discussion_r4297601556


##########
data/src/test/java/org/apache/iceberg/data/ReadFormatModelTests.java:
##########
@@ -2414,7 +2452,21 @@ protected static void assumeSupports(FileFormat 
fileFormat, String feature) {
   private static boolean supportsGenerator(FileFormat fileFormat, 
DataGenerator generator) {
     boolean hasVariant =
         TypeUtil.find(generator.schema(), type -> type.typeId() == 
Type.TypeID.VARIANT) != null;
-    return !hasVariant || supportsFeature(fileFormat, FEATURE_VARIANT);
+    if (hasVariant && !supportsFeature(fileFormat, FEATURE_VARIANT)) {
+      return false;
+    }
+
+    boolean hasGeospatial =
+        TypeUtil.find(
+                generator.schema(),
+                type ->
+                    type.typeId() == Type.TypeID.GEOMETRY || type.typeId() == 
Type.TypeID.GEOGRAPHY)
+            != null;
+    if (hasGeospatial && !supportsFeature(fileFormat, FEATURE_GEOSPATIAL)) {
+      return false;
+    }

Review Comment:
   nit: can probably decouple and separate into helper methods. return true IFF 
the given types is used in the schema and the file format support such schema 
and the features?
   
   ```java
   boolean supportsGenerator(fileFormat, generator) {
       return supportsTypes(fileFormat, schema, FEATURE_VARIANT, 
VARIANT_TYPE_IDS)
           && supportsTypes(fileFormat, schema, FEATURE_GEOSPATIAL, 
GEOSPATIAL_TYPE_IDS);
   }
   
   boolean supportsTypes(fileFormat, schema, feature) {
        return !usesAnyType(schema.asStruct(), gatedTypeIds) || 
supportsFeature(fileFormat, feature);
   }
   
   boolean usesAnyType(type, typeIds) {
       return TypeUtil.find(type, nested -> typeIds.contains(nested.typeId())) 
!= null;
   }
   ````



##########
data/src/test/java/org/apache/iceberg/data/ReadFormatModelTests.java:
##########
@@ -1473,6 +1477,40 @@ void testDataWriterMetricsCollection(FileFormat 
fileFormat) throws IOException {
     assertColumnSize(fileFormat, dataFile);
   }
 
+  @ParameterizedTest
+  @FieldSource("FILE_FORMATS")
+  void testDataWriterGeospatialBounds(FileFormat fileFormat) throws 
IOException {
+    assumeSupports(fileFormat, FEATURE_GEOSPATIAL);
+    assumeSupports(fileFormat, FEATURE_COLUMN_LEVEL_METRICS);
+
+    Schema schema =
+        new Schema(
+            Types.NestedField.required(1, "geometry_col", 
Types.GeometryType.crs84()),
+            Types.NestedField.optional(2, "geometry_opt_col", 
Types.GeometryType.crs84()));

Review Comment:
   can reuse existing instead of build your own?
   ```suggestion
       Schema schema = new DataGenerators.Geometry().schema();
   ```



##########
data/src/test/java/org/apache/iceberg/data/ReadFormatModelTests.java:
##########
@@ -1473,6 +1477,40 @@ void testDataWriterMetricsCollection(FileFormat 
fileFormat) throws IOException {
     assertColumnSize(fileFormat, dataFile);
   }
 
+  @ParameterizedTest
+  @FieldSource("FILE_FORMATS")
+  void testDataWriterGeospatialBounds(FileFormat fileFormat) throws 
IOException {
+    assumeSupports(fileFormat, FEATURE_GEOSPATIAL);
+    assumeSupports(fileFormat, FEATURE_COLUMN_LEVEL_METRICS);
+
+    Schema schema =
+        new Schema(
+            Types.NestedField.required(1, "geometry_col", 
Types.GeometryType.crs84()),
+            Types.NestedField.optional(2, "geometry_opt_col", 
Types.GeometryType.crs84()));
+
+    // The spatial lower/upper bounds are the corners of the bounding box over 
all values, so no
+    // single value needs to sit at a corner. Points are chosen so the 
expected corners differ from
+    // every input point, and the optional column exercises a skipped null.
+    List<Record> records =
+        List.of(
+            GenericRecord.create(schema)
+                .copy("geometry_col", wkbPoint(1.0, 4.0), "geometry_opt_col", 
wkbPoint(-3.0, 7.0)),
+            GenericRecord.create(schema)
+                .copy("geometry_col", wkbPoint(5.0, 2.0), "geometry_opt_col", 
null),
+            GenericRecord.create(schema)
+                .copy("geometry_col", wkbPoint(3.0, 6.0), "geometry_opt_col", 
wkbPoint(2.0, -1.0)));
+
+    DataFile dataFile = writeGenericRecords(fileFormat, schema, records);
+
+    // Required column box: min corner (1, 2), max corner (5, 6).
+    assertGeospatialBound(dataFile.lowerBounds().get(1), 1.0, 2.0);
+    assertGeospatialBound(dataFile.upperBounds().get(1), 5.0, 6.0);

Review Comment:
   
   ```suggestion
       Type geometryType = schema.findType("geometry_col");
       assertGeospatialBound(
           geometryType, dataFile.lowerBounds().get(1), 
GeospatialBound.createXY(1.0, 2.0));
       assertGeospatialBound(
           geometryType, dataFile.upperBounds().get(1), 
GeospatialBound.createXY(5.0, 6.0));
   ```



##########
data/src/test/java/org/apache/iceberg/data/TestGenericFormatModel.java:
##########
@@ -0,0 +1,70 @@
+/*
+ * Licensed to the Apache Software Foundation (ASF) under one
+ * or more contributor license agreements.  See the NOTICE file
+ * distributed with this work for additional information
+ * regarding copyright ownership.  The ASF licenses this file
+ * to you under the Apache License, Version 2.0 (the
+ * "License"); you may not use this file except in compliance
+ * with the License.  You may obtain a copy of the License at
+ *
+ *   http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing,
+ * software distributed under the License is distributed on an
+ * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
+ * KIND, either express or implied.  See the License for the
+ * specific language governing permissions and limitations
+ * under the License.
+ */
+package org.apache.iceberg.data;
+
+import java.util.List;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.StructLike;
+import org.apache.iceberg.types.Type;
+
+/**
+ * File Format API TCK binding for the generic {@link Record} object model.
+ *
+ * <p>Unlike the Spark and Flink bindings, the generic engine represents every 
Iceberg type
+ * directly, so it exercises the full generator matrix (including geospatial 
types) against the
+ * Avro, ORC and Parquet object models. Format-level gaps (for example ORC's 
lack of geospatial
+ * support) are handled by {@code MISSING_FEATURES}/{@code supportsGenerator} 
in the base class.
+ */
+class TestGenericFormatModel extends BaseFormatModelTests<Record> {
+
+  @Override
+  protected Class<Record> engineType() {
+    return Record.class;
+  }
+
+  @Override
+  protected Object engineSchema(Schema schema) {
+    // The generic object model derives its schema from the Iceberg schema; no 
engine-native
+    // schema is required.
+    return null;
+  }
+
+  @Override
+  protected Record convertToEngine(Record record, Schema schema) {
+    return record;
+  }
+
+  @Override
+  protected void assertEquals(Schema schema, List<Record> expected, 
List<Record> actual) {
+    DataTestHelpers.assertEquals(schema.asStruct(), expected, actual);
+  }
+
+  @Override
+  protected Object convertConstantToEngine(Type type, Object value) {
+    // Metadata-column constants such as the _partition struct arrive as a 
StructLike (for example
+    // PartitionData) rather than a Record. Materialize them as a Record up 
front, mirroring how the
+    // Flink and Spark bindings convert constants into their engine 
representation, so reads expose
+    // the same type the generic comparison in DataTestHelpers expects.
+    if (value instanceof StructLike struct) {
+      return structLikeToRecord(struct, type.asStructType());
+    }
+
+    return value;

Review Comment:
   I think iceberg internal representation difference from generic one so it 
need to go through `GenericDataUtil.internalToGeneric(type, value)` before 
return like date or timestamp?



##########
data/src/test/java/org/apache/iceberg/data/ReadFormatModelTests.java:
##########
@@ -2576,6 +2628,17 @@ private static Object[] computeMinMax(List<StructLike> 
records, int pos, Compara
     return new Object[] {min, max};
   }
 
+  private static ByteBuffer wkbPoint(double xCoord, double yCoord) {
+    return ByteBuffer.wrap(RandomUtil.wkbPoint(xCoord, yCoord));
+  }
+
+  private static void assertGeospatialBound(ByteBuffer bound, double 
expectedX, double expectedY) {
+    assertThat(bound).as("geospatial bound should be present").isNotNull();
+    GeospatialBound point = GeospatialBound.fromByteBuffer(bound);
+    assertThat(point.x()).isEqualTo(expectedX);
+    assertThat(point.y()).isEqualTo(expectedY);
+  }

Review Comment:
   I think we already have existing conversions based method and 
GeospatialBound.fromByteBuffer will rejects big-endian buffers, which can come 
from copyWithStats
   ```suggestion
     private static void assertGeospatialBound(Type type, ByteBuffer bound, 
GeospatialBound expected) {
       assertThat((Object) Conversions.fromByteBuffer(type, 
bound)).isEqualTo(expected);
     }
   ```



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