huaxingao commented on code in PR #9841:
URL: https://github.com/apache/iceberg/pull/9841#discussion_r1934900306


##########
spark/v3.4/spark/src/main/java/org/apache/iceberg/spark/data/vectorized/CometColumnReader.java:
##########
@@ -0,0 +1,146 @@
+/*
+ * 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.spark.data.vectorized;
+
+import java.io.IOException;
+import java.util.Map;
+import org.apache.comet.parquet.AbstractColumnReader;
+import org.apache.comet.parquet.ColumnReader;
+import org.apache.comet.parquet.TypeUtil;
+import org.apache.comet.parquet.Utils;
+import org.apache.comet.shaded.arrow.c.CometSchemaImporter;
+import org.apache.comet.shaded.arrow.memory.RootAllocator;
+import org.apache.iceberg.parquet.VectorizedReader;
+import org.apache.iceberg.relocated.com.google.common.base.Preconditions;
+import org.apache.iceberg.spark.SparkSchemaUtil;
+import org.apache.iceberg.types.Types;
+import org.apache.parquet.column.ColumnDescriptor;
+import org.apache.parquet.column.page.PageReadStore;
+import org.apache.parquet.column.page.PageReader;
+import org.apache.parquet.hadoop.metadata.ColumnChunkMetaData;
+import org.apache.parquet.hadoop.metadata.ColumnPath;
+import org.apache.spark.sql.types.DataType;
+import org.apache.spark.sql.types.Metadata;
+import org.apache.spark.sql.types.StructField;
+import org.apache.spark.sql.vectorized.ColumnVector;
+
+class CometColumnReader implements VectorizedReader<ColumnVector> {
+  // use the Comet default batch size
+  public static final int DEFAULT_BATCH_SIZE = 8192;
+
+  private final ColumnDescriptor descriptor;
+  private final DataType sparkType;
+
+  // The delegated ColumnReader from Comet side
+  private AbstractColumnReader delegate;
+  private boolean initialized = false;
+  private int batchSize = DEFAULT_BATCH_SIZE;
+  private CometSchemaImporter importer;
+
+  CometColumnReader(DataType sparkType, ColumnDescriptor descriptor) {
+    this.sparkType = sparkType;
+    this.descriptor = descriptor;
+  }
+
+  CometColumnReader(Types.NestedField field) {
+    DataType dataType = SparkSchemaUtil.convert(field.type());
+    StructField structField = new StructField(field.name(), dataType, false, 
Metadata.empty());
+    this.sparkType = dataType;
+    this.descriptor = TypeUtil.convertToParquet(structField);
+  }
+
+  public AbstractColumnReader delegate() {
+    return delegate;
+  }
+
+  void setDelegate(AbstractColumnReader delegate) {
+    this.delegate = delegate;
+  }
+
+  void setInitialized(boolean initialized) {
+    this.initialized = initialized;
+  }
+
+  public int batchSize() {
+    return batchSize;
+  }
+
+  /**
+   * This method is to initialized/reset the CometColumnReader. This needs to 
be called for each row
+   * group after readNextRowGroup, so a new dictionary encoding can be set for 
each of the new row
+   * groups.
+   */
+  public void reset() {
+    if (delegate != null) {

Review Comment:
   Done. Thanks!



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