deniskuzZ commented on code in PR #6793:
URL: https://github.com/apache/hive/pull/6793#discussion_r4155244490


##########
llap-server/src/java/org/apache/hadoop/hive/llap/io/decode/ParquetColumnVectorProducer.java:
##########
@@ -0,0 +1,103 @@
+/*
+ * 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.hadoop.hive.llap.io.decode;
+
+import java.io.IOException;
+import java.util.Map;
+
+import org.apache.hadoop.conf.Configuration;
+import org.apache.hadoop.fs.Path;
+import org.apache.hadoop.hive.llap.cache.BufferUsageManager;
+import org.apache.hadoop.hive.llap.cache.LowLevelCache;
+import org.apache.hadoop.hive.llap.counters.QueryFragmentCounters;
+import org.apache.hadoop.hive.llap.io.api.impl.ColumnVectorBatch;
+import org.apache.hadoop.hive.llap.io.api.impl.LlapIoImpl;
+import org.apache.hadoop.hive.llap.io.encoded.ParquetEncodedDataReader;
+import org.apache.hadoop.hive.llap.metrics.LlapDaemonCacheMetrics;
+import org.apache.hadoop.hive.llap.metrics.LlapDaemonIOMetrics;
+import org.apache.hadoop.hive.ql.io.orc.encoded.Consumer;
+import org.apache.hadoop.hive.ql.io.sarg.SearchArgument;
+import org.apache.hadoop.hive.ql.plan.PartitionDesc;
+import org.apache.hadoop.hive.serde2.Deserializer;
+import org.apache.hadoop.mapred.FileSplit;
+import org.apache.hadoop.mapred.InputFormat;
+import org.apache.hadoop.mapred.JobConf;
+import org.apache.hadoop.mapred.Reporter;
+
+public class ParquetColumnVectorProducer implements ColumnVectorProducer {
+  private final LowLevelCache lowLevelCache;
+  private final BufferUsageManager bufferManager;
+  private final Configuration conf;
+  private final LlapDaemonCacheMetrics cacheMetrics;
+  private final LlapDaemonIOMetrics ioMetrics;
+
+  public ParquetColumnVectorProducer(LowLevelCache lowLevelCache, 
BufferUsageManager bufferManager,
+      Configuration conf, LlapDaemonCacheMetrics cacheMetrics, 
LlapDaemonIOMetrics ioMetrics) {
+    this.lowLevelCache = lowLevelCache;
+    this.bufferManager = bufferManager;
+    this.conf = conf;
+    this.cacheMetrics = cacheMetrics;
+    this.ioMetrics = ioMetrics;
+  }
+
+  @Override
+  public ReadPipeline createReadPipeline(Consumer<ColumnVectorBatch> consumer, 
FileSplit split,
+      Includes includes, SearchArgument sarg, QueryFragmentCounters counters,
+      SchemaEvolutionFactory sef, InputFormat<?, ?> sourceInputFormat, 
Deserializer sourceSerDe,
+      Reporter reporter, JobConf job, Map<Path, PartitionDesc> parts) {
+    try {
+      cacheMetrics.incrCacheReadRequests();
+      ParquetEncodedDataConsumer edc =
+          new ParquetEncodedDataConsumer(consumer, includes, counters, 
ioMetrics, job);
+      ParquetEncodedDataReader reader = new ParquetEncodedDataReader(
+          lowLevelCache, bufferManager, conf, job, split, edc, counters);
+      reader.loadFooter();
+      // Null makes LlapInputFormat fall back to the normal 
VectorizedParquetRecordReader.
+      if (reader.projectsNestedTypes()) {
+        LlapIoImpl.LOG.info("Parquet native cache: falling back to normal 
reader for {} due to "
+            + "nested types in the projection", split.getPath());
+        return null;
+      }
+      /*
+       * Fallback path still caches (footer via LlapProxy, data via 
LlapCacheAwareFs); what's lost
+       * for this split is vectored reads, row-group lookahead, and its LLAP 
IO summary counters.
+       * Guard fires per split only for Iceberg-Parquet files that physically 
carry _row_id /
+       * _last_updated_sequence_number while the query projects those virtual 
columns.
+       *
+       *   Table shape                                                   Fires?
+       *   ------------------------------------------------------------  ------
+       *   Non-Iceberg Parquet                                           never
+       *   Iceberg-Parquet, row lineage disabled                         never

Review Comment:
   do we need n`eedsRowLineage()` and the comment block in this PR?



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