hudi-agent commented on code in PR #18723:
URL: https://github.com/apache/hudi/pull/18723#discussion_r3304425401


##########
hudi-client/hudi-flink-client/src/main/java/org/apache/hudi/util/AvroToRowDataConverters.java:
##########
@@ -78,16 +81,27 @@ public interface AvroToRowDataConverter extends 
Serializable {
   // 
-------------------------------------------------------------------------------------
   // Runtime Converters
   // 
-------------------------------------------------------------------------------------
-  public static AvroToRowDataConverter createRowConverter(RowType rowType) {
-    return createRowConverter(rowType, true);
+  /**
+   * Creates a row converter using only the Flink row type.
+   *
+   * <p>This converter cannot recover Hoodie-specific logical type metadata 
from {@link RowType}.
+   * Use {@link #createRowConverter(HoodieSchema, RowType, boolean)} when a 
Hoodie schema is
+   * available, especially for VECTOR columns.
+   */
+  public static AvroToRowDataConverter createRowConverter(HoodieSchema 
hoodieSchema) {

Review Comment:
   🤖 nit: the Javadoc directly above this method says "Creates a row converter 
using only the Flink row type" and "This converter cannot recover 
Hoodie-specific logical type metadata from RowType" — but the method now 
accepts HoodieSchema and does use it. Could you replace this doc with one that 
describes what the method actually does (i.e. a convenience overload that 
derives the RowType from the schema)?
   
   <sub><i>- AI-generated; verify before applying. React 👍/👎 to flag 
quality.</i></sub>



##########
hudi-flink-datasource/hudi-flink1.17.x/src/main/java/org/apache/hudi/table/format/cow/ParquetSplitReaderUtil.java:
##########
@@ -365,7 +365,15 @@ private static ColumnReader createColumnReader(
       case VARCHAR:
       case BINARY:
       case VARBINARY:
-        return new BytesColumnReader(descriptor, pageReader);
+        switch (descriptor.getPrimitiveType().getPrimitiveTypeName()) {
+          case BINARY:
+            return new BytesColumnReader(descriptor, pageReader);
+          case FIXED_LEN_BYTE_ARRAY:
+            return new FixedLenBytesColumnReader(
+                descriptor, pageReader);
+          default:
+            throw new AssertionError();

Review Comment:
   🤖 nit: bare `new AssertionError()` loses all context when it fires. Could 
you include the offending type, e.g. `throw new AssertionError("Unexpected 
Parquet primitive type for BYTES: " + 
descriptor.getPrimitiveType().getPrimitiveTypeName())`? The same pattern 
appears in the `default` branch of the equivalent switch in the 1.18.x, 1.19.x, 
1.20.x, 2.0.x, and 2.1.x forks.
   
   <sub><i>- AI-generated; verify before applying. React 👍/👎 to flag 
quality.</i></sub>



##########
hudi-common/src/main/java/org/apache/hudi/common/util/HoodieVectorUtils.java:
##########
@@ -0,0 +1,110 @@
+/*
+ * 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.hudi.common.util;
+
+import org.apache.hudi.common.schema.HoodieSchema;
+import org.apache.hudi.common.schema.HoodieSchemaField;
+import org.apache.hudi.common.schema.HoodieSchemaType;
+
+import java.nio.ByteBuffer;
+import java.util.LinkedHashMap;
+import java.util.List;
+import java.util.Map;
+
+/**
+ * Utilities for decoding Hudi VECTOR fixed-bytes payloads.
+ */
+public final class HoodieVectorUtils {
+
+  private HoodieVectorUtils() {
+  }
+
+  /**
+   * Detects VECTOR columns in a HoodieSchema record and returns a map of 
field ordinal
+   * to the corresponding {@link HoodieSchema.Vector} schema.
+   *
+   * @param schema a HoodieSchema of type RECORD (or null)
+   * @return map from field index to Vector schema; empty map if schema is 
null or has no vectors
+   */
+  public static Map<Integer, HoodieSchema.Vector> 
detectVectorColumns(HoodieSchema schema) {
+    Map<Integer, HoodieSchema.Vector> vectorColumnInfo = new LinkedHashMap<>();
+    if (schema == null) {
+      return vectorColumnInfo;
+    }
+    List<HoodieSchemaField> fields = schema.getFields();
+    for (int i = 0; i < fields.size(); i++) {
+      HoodieSchema fieldSchema = fields.get(i).schema().getNonNullType();
+      if (fieldSchema.getType() == HoodieSchemaType.VECTOR) {
+        vectorColumnInfo.put(i, (HoodieSchema.Vector) fieldSchema);
+      }
+    }
+    return vectorColumnInfo;
+  }
+
+  /**
+   * Converts binary bytes from a FIXED_LEN_BYTE_ARRAY Parquet column back to 
a typed array.
+   *
+   * @param bytes        raw bytes read from Parquet
+   * @param vectorSchema vector schema
+   * @return an ArrayData containing the decoded float[], double[], or byte[] 
array
+   * @throws IllegalArgumentException if byte array length doesn't match 
expected size
+   */
+  public static Object decodeVectorBytes(byte[] bytes, HoodieSchema.Vector 
vectorSchema) {
+    return decodeVectorBytes(bytes, vectorSchema.getDimension(), 
vectorSchema.getVectorElementType());

Review Comment:
   🤖 nit: both `decodeVectorBytes` overloads have `@return an ArrayData 
containing the decoded float[], double[], or byte[] array`, but `ArrayData` is 
a Flink/Spark abstraction — this `hudi-common` method returns a plain Java 
primitive array. Could you update the tag to something like `@return a 
primitive array (float[], double[], or byte[])`?
   
   <sub><i>- AI-generated; verify before applying. React 👍/👎 to flag 
quality.</i></sub>



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