shangxinli commented on code in PR #14435:
URL: https://github.com/apache/iceberg/pull/14435#discussion_r2562988328


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parquet/src/main/java/org/apache/iceberg/parquet/ParquetFileMerger.java:
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@@ -0,0 +1,421 @@
+/*
+ * 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.parquet;
+
+import static java.util.Collections.emptyMap;
+
+import java.io.IOException;
+import java.util.List;
+import java.util.Map;
+import org.apache.iceberg.MetadataColumns;
+import org.apache.iceberg.encryption.EncryptedOutputFile;
+import org.apache.iceberg.io.InputFile;
+import org.apache.iceberg.io.OutputFile;
+import org.apache.iceberg.io.SeekableInputStream;
+import org.apache.iceberg.relocated.com.google.common.collect.Lists;
+import org.apache.parquet.bytes.BytesInput;
+import org.apache.parquet.bytes.HeapByteBufferAllocator;
+import org.apache.parquet.column.ColumnDescriptor;
+import org.apache.parquet.column.Encoding;
+import org.apache.parquet.column.ParquetProperties;
+import org.apache.parquet.column.statistics.LongStatistics;
+import org.apache.parquet.column.values.ValuesWriter;
+import 
org.apache.parquet.column.values.delta.DeltaBinaryPackingValuesWriterForLong;
+import org.apache.parquet.hadoop.ParquetFileReader;
+import org.apache.parquet.hadoop.ParquetFileWriter;
+import org.apache.parquet.hadoop.metadata.BlockMetaData;
+import org.apache.parquet.hadoop.metadata.ColumnChunkMetaData;
+import org.apache.parquet.hadoop.metadata.CompressionCodecName;
+import org.apache.parquet.io.DelegatingSeekableInputStream;
+import org.apache.parquet.schema.MessageType;
+import org.apache.parquet.schema.PrimitiveType;
+import org.apache.parquet.schema.Type;
+import org.apache.parquet.schema.Types;
+
+/**
+ * Utility class for performing strict schema validation and merging of 
Parquet files at the
+ * row-group level.
+ *
+ * <p>This class ensures that all input files have identical Parquet schemas 
before merging. The
+ * merge operation is performed by copying row groups directly without
+ * serialization/deserialization, providing significant performance benefits 
over traditional
+ * read-rewrite approaches.
+ *
+ * <p>This class works with any Iceberg FileIO implementation (HadoopFileIO, 
S3FileIO, GCSFileIO,
+ * etc.), making it cloud-agnostic.
+ *
+ * <p>TODO: Encrypted tables are not supported
+ *
+ * <p>Key features:
+ *
+ * <ul>
+ *   <li>Row group merging without deserialization using {@link 
ParquetFileWriter#appendFile}
+ *   <li>Strict schema validation - all files must have identical {@link 
MessageType}
+ *   <li>Metadata merging for Iceberg-specific footer data
+ *   <li>Works with any FileIO implementation (local, S3, GCS, Azure, etc.)
+ * </ul>
+ *
+ * <p>Restrictions:
+ *
+ * <ul>
+ *   <li>All files must have compatible schemas (identical {@link MessageType})
+ *   <li>Files must not be encrypted
+ *   <li>Files must not have associated delete files or delete vectors
+ *   <li>Table must not have a sort order (including z-ordered tables)
+ * </ul>
+ *
+ * <p>Typical usage:
+ *
+ * <pre>
+ * FileIO fileIO = table.io();
+ * List&lt;InputFile&gt; inputFiles = Arrays.asList(
+ *     fileIO.newInputFile("s3://bucket/file1.parquet"),
+ *     fileIO.newInputFile("s3://bucket/file2.parquet")
+ * );
+ * OutputFile outputFile = fileIO.newOutputFile("s3://bucket/merged.parquet");
+ * long rowGroupSize = 128 * 1024 * 1024; // 128 MB
+ * int columnIndexTruncateLength = 64; // Default truncation length
+ * ParquetFileMerger.mergeFiles(inputFiles, outputFile, rowGroupSize, 
columnIndexTruncateLength, null);
+ * </pre>
+ */
+public class ParquetFileMerger {
+  // Default buffer sizes for DeltaBinaryPackingValuesWriter
+  private static final int DEFAULT_INITIAL_BUFFER_SIZE = 64 * 1024; // 64KB
+  private static final int DEFAULT_PAGE_SIZE_FOR_ENCODING = 64 * 1024; // 64KB
+
+  private ParquetFileMerger() {
+    // Utility class - prevent instantiation
+  }
+
+  /**
+   * Reads and validates that all input files have identical Parquet schemas.
+   *
+   * <p>This method works with any Iceberg FileIO implementation (S3FileIO, 
GCSFileIO, etc.).
+   *
+   * @param inputFiles List of Iceberg input files to validate
+   * @return the common Parquet schema if all files have identical schemas, 
null otherwise
+   */
+  public static MessageType readAndValidateSchema(List<InputFile> inputFiles) {
+    try {
+      if (inputFiles == null || inputFiles.isEmpty()) {
+        return null;
+      }
+
+      // Read schema from the first file
+      MessageType firstSchema = readSchema(inputFiles.get(0));
+
+      // Validate all remaining files have the same schema
+      for (int i = 1; i < inputFiles.size(); i++) {
+        MessageType currentSchema = readSchema(inputFiles.get(i));
+
+        if (!firstSchema.equals(currentSchema)) {
+          return null;
+        }
+      }
+
+      return firstSchema;
+    } catch (IllegalArgumentException | IOException e) {
+      return null;
+    }
+  }
+
+  /**
+   * Reads the Parquet schema from an Iceberg InputFile.
+   *
+   * @param inputFile Iceberg input file to read schema from
+   * @return MessageType schema of the Parquet file
+   * @throws IOException if reading fails
+   */
+  private static MessageType readSchema(InputFile inputFile) throws 
IOException {
+    return ParquetFileReader.open(ParquetIO.file(inputFile))
+        .getFooter()
+        .getFileMetaData()
+        .getSchema();
+  }
+
+  /** Internal method to merge files when schema is already known. */
+  private static void mergeFilesWithSchema(
+      List<InputFile> inputFiles,
+      OutputFile outputFile,
+      MessageType schema,
+      long rowGroupSize,
+      int columnIndexTruncateLength,
+      Map<String, String> extraMetadata)
+      throws IOException {
+    try (ParquetFileWriter writer =
+        new ParquetFileWriter(
+            ParquetIO.file(outputFile),
+            schema,
+            ParquetFileWriter.Mode.CREATE,
+            rowGroupSize,
+            0, // maxPaddingSize - hardcoded to 0 (same as ParquetWriter)
+            columnIndexTruncateLength,
+            ParquetProperties.DEFAULT_STATISTICS_TRUNCATE_LENGTH,
+            ParquetProperties.DEFAULT_PAGE_WRITE_CHECKSUM_ENABLED)) {
+
+      writer.start();
+      for (InputFile inputFile : inputFiles) {
+        writer.appendFile(ParquetIO.file(inputFile));
+      }
+
+      if (extraMetadata != null && !extraMetadata.isEmpty()) {
+        writer.end(extraMetadata);
+      } else {
+        writer.end(emptyMap());
+      }
+    }
+  }
+
+  /** Internal method to merge files with row IDs when base schema is already 
known. */
+  private static void mergeFilesWithRowIdsAndSchema(
+      List<InputFile> inputFiles,
+      OutputFile outputFile,
+      List<Long> firstRowIds,
+      MessageType baseSchema,

Review Comment:
   Refactored 



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