diff --git a/spark/v4.0/spark/src/test/java/org/apache/iceberg/spark/data/vectorized/parquet/TestParquetVectorizedReads.java b/spark/v4.0/spark/src/test/java/org/apache/iceberg/spark/data/vectorized/parquet/TestParquetVectorizedReads.java
index 757331dcb5dc..3d7fb6966c23 100644
--- a/spark/v4.0/spark/src/test/java/org/apache/iceberg/spark/data/vectorized/parquet/TestParquetVectorizedReads.java
+++ b/spark/v4.0/spark/src/test/java/org/apache/iceberg/spark/data/vectorized/parquet/TestParquetVectorizedReads.java
@@ -37,6 +37,7 @@
 import org.apache.iceberg.Schema;
 import org.apache.iceberg.data.RandomGenericData;
 import org.apache.iceberg.data.Record;
+import org.apache.iceberg.data.parquet.GenericParquetReaders;
 import org.apache.iceberg.data.parquet.GenericParquetWriter;
 import org.apache.iceberg.io.CloseableIterable;
 import org.apache.iceberg.io.FileAppender;
@@ -73,7 +74,7 @@ public class TestParquetVectorizedReads extends AvroDataTestBase {
 
   private static final String PLAIN = "PLAIN";
   private static final List<String> GOLDEN_FILE_ENCODINGS =
-      ImmutableList.of("PLAIN_DICTIONARY", "RLE", "RLE_DICTIONARY", "DELTA_BINARY_PACKED");
+      ImmutableList.of("PLAIN_DICTIONARY", "RLE_DICTIONARY", "DELTA_BINARY_PACKED");
   private static final Map<String, PrimitiveType> GOLDEN_FILE_TYPES =
       ImmutableMap.of(
           "string", Types.StringType.get(),
@@ -440,31 +441,30 @@ public void testUuidReads() throws Exception {
     assertRecordsMatch(schema, numRows, data, dataFile, false, BATCH_SIZE);
   }
 
-  private void assertIdenticalFileContents(File actual, File expected, Schema schema)
-      throws IOException {
-    try (CloseableIterable<InternalRow> actualReader =
-        Parquet.read(Files.localInput(actual))
+  private void assertIdenticalFileContents(
+      File actual, File expected, Schema schema, boolean vectorized) throws IOException {
+    try (CloseableIterable<Record> expectedIterator =
+        Parquet.read(Files.localInput(expected))
             .project(schema)
-            .createReaderFunc(t -> SparkParquetReaders.buildReader(schema, t, ID_TO_CONSTANT))
+            .createReaderFunc(msgType -> GenericParquetReaders.buildReader(schema, msgType))
             .build()) {
-      Iterator<InternalRow> actualIterator = actualReader.iterator();
-      try (CloseableIterable<InternalRow> plainReader =
-          Parquet.read(Files.localInput(expected))
-              .project(schema)
-              .createReaderFunc(t -> SparkParquetReaders.buildReader(schema, t, ID_TO_CONSTANT))
-              .build()) {
-        Iterator<InternalRow> expectedIterator = plainReader.iterator();
-
-        List<InternalRow> expectedList = Lists.newArrayList();
-        expectedIterator.forEachRemaining(expectedList::add);
-        List<InternalRow> actualList = Lists.newArrayList();
-        actualIterator.forEachRemaining(actualList::add);
-
-        assertThat(actualList)
-            .as("Comparison between files failed %s <-> %s", actual, expected)
-            .isNotEmpty()
-            .hasSameSizeAs(expectedList)
-            .hasSameElementsAs(expectedList);
+      List<Record> expectedRecords = Lists.newArrayList(expectedIterator);
+      if (vectorized) {
+        assertRecordsMatch(
+            schema, expectedRecords.size(), expectedRecords, actual, false, BATCH_SIZE);
+      } else {
+        try (CloseableIterable<InternalRow> actualIterator =
+            Parquet.read(Files.localInput(actual))
+                .project(schema)
+                .createReaderFunc(msgType -> SparkParquetReaders.buildReader(schema, msgType))
+                .build()) {
+          List<InternalRow> actualRecords = Lists.newArrayList(actualIterator);
+          assertThat(actualRecords).hasSameSizeAs(expectedRecords);
+          for (int i = 0; i < actualRecords.size(); i++) {
+            GenericsHelpers.assertEqualsUnsafe(
+                schema.asStruct(), expectedRecords.get(i), actualRecords.get(i));
+          }
+        }
       }
     }
   }
@@ -474,14 +474,19 @@ static Stream<Arguments> goldenFilesAndEncodings() {
         .flatMap(
             encoding ->
                 GOLDEN_FILE_TYPES.entrySet().stream()
-                    .map(
-                        typeEntry ->
-                            Arguments.of(encoding, typeEntry.getKey(), typeEntry.getValue())));
+                    .flatMap(
+                        e ->
+                            Stream.of(true, false)
+                                .map(
+                                    vectorized ->
+                                        Arguments.of(
+                                            encoding, e.getKey(), e.getValue(), vectorized))));
   }
 
   @ParameterizedTest
   @MethodSource("goldenFilesAndEncodings")
-  public void testGoldenFiles(String encoding, String typeName, PrimitiveType primitiveType)
+  public void testGoldenFiles(
+      String encoding, String typeName, PrimitiveType primitiveType, boolean vectorized)
       throws Exception {
     Path goldenResourcePath = Paths.get("encodings", encoding, typeName + ".parquet");
     URL goldenFileUrl = getClass().getClassLoader().getResource(goldenResourcePath.toString());
@@ -495,6 +500,9 @@ public void testGoldenFiles(String encoding, String typeName, PrimitiveType prim
 
     Schema expectedSchema = new Schema(optional(1, "data", primitiveType));
     assertIdenticalFileContents(
-        new File(goldenFileUrl.toURI()), new File(plainFileUrl.toURI()), expectedSchema);
+        new File(goldenFileUrl.toURI()),
+        new File(plainFileUrl.toURI()),
+        expectedSchema,
+        vectorized);
   }
 }
diff --git a/spark/v4.0/spark/src/test/resources/encodings/RLE/boolean.parquet b/spark/v4.0/spark/src/test/resources/encodings/RLE/boolean.parquet
deleted file mode 100644
index fe4f62455d08..000000000000
Binary files a/spark/v4.0/spark/src/test/resources/encodings/RLE/boolean.parquet and /dev/null differ