danny0405 commented on code in PR #18987:
URL: https://github.com/apache/hudi/pull/18987#discussion_r3459576492


##########
hudi-common/src/main/java/org/apache/hudi/common/table/read/lsm/LsmFileGroupRecordIterator.java:
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@@ -0,0 +1,539 @@
+/*
+ * 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.table.read.lsm;
+
+import org.apache.hudi.common.config.TypedProperties;
+import org.apache.hudi.common.engine.HoodieReaderContext;
+import org.apache.hudi.common.fs.FSUtils;
+import org.apache.hudi.common.model.HoodieBaseFile;
+import org.apache.hudi.common.model.HoodieLogFile;
+import org.apache.hudi.common.schema.HoodieSchema;
+import org.apache.hudi.common.schema.HoodieSchemas;
+import org.apache.hudi.common.table.HoodieTableMetaClient;
+import org.apache.hudi.common.table.read.BaseFileUpdateCallback;
+import org.apache.hudi.common.table.read.BufferedRecord;
+import org.apache.hudi.common.table.read.BufferedRecordMerger;
+import org.apache.hudi.common.table.read.BufferedRecordMergerFactory;
+import org.apache.hudi.common.table.read.BufferedRecords;
+import org.apache.hudi.common.table.read.HoodieReadStats;
+import org.apache.hudi.common.table.read.InputSplit;
+import org.apache.hudi.common.table.read.ReaderParameters;
+import org.apache.hudi.common.table.read.UpdateProcessor;
+import org.apache.hudi.common.util.Option;
+import org.apache.hudi.common.util.VisibleForTesting;
+import org.apache.hudi.common.util.collection.ClosableIterator;
+import org.apache.hudi.common.util.collection.CloseableMappingIterator;
+import org.apache.hudi.common.util.collection.Pair;
+import org.apache.hudi.exception.HoodieIOException;
+import org.apache.hudi.storage.HoodieStorage;
+import org.apache.hudi.storage.StoragePath;
+import org.apache.hudi.storage.StoragePathInfo;
+
+import java.io.IOException;
+import java.util.ArrayList;
+import java.util.Arrays;
+import java.util.Comparator;
+import java.util.HashSet;
+import java.util.List;
+import java.util.Map;
+import java.util.NoSuchElementException;
+import java.util.Set;
+import java.util.function.UnaryOperator;
+
+import static 
org.apache.hudi.common.config.HoodieMemoryConfig.SPILLABLE_MAP_BASE_PATH;
+import static 
org.apache.hudi.common.config.HoodieReaderConfig.LSM_SORT_MERGE_SPILL_THRESHOLD;
+import static 
org.apache.hudi.common.schema.HoodieSchemaCompatibility.areSchemasProjectionEquivalent;
+import static 
org.apache.hudi.io.util.FileIOUtils.getDefaultSpillableMapBasePath;
+
+/**
+ * Streaming sorted-merge iterator for RFC-103 LSM file groups.
+ *
+ * <p>The iterator merges one optional L1/base sorted run with zero or more 
L0/native parquet log
+ * runs. Every input file must already be sorted by record key; this class 
does not sort records
+ * within a file. The active head record from each participating run is 
tracked by a loser tree,
+ * which provides efficient k-way merge behavior while preserving 
deterministic source ordering for
+ * records with the same key.
+ *
+ * <p>Merge order follows the same conflict resolution model as {@code 
HoodieFileGroupReader}: the
+ * L1/base file is processed first, and L0 log files are processed in 
file-group log order so newer
+ * log instants or versions can win when ordering values tie. Native delete 
logs contain only delete
+ * metadata and are converted into {@link BufferedRecord} delete records 
before entering the merge.
+ *
+ * <p>To reduce open-reader memory pressure when a file group has many L0 
runs, the iterator can spill
+ * selected L0 file iterators to sequential temporary files. Spilling changes 
how an input run is
+ * buffered, but not its merge order or merge semantics. The L1/base iterator 
is always kept direct,
+ * and native delete logs plus smaller L0 files are prioritized for direct 
reading.
+ */
+public class LsmFileGroupRecordIterator<T> implements 
ClosableIterator<BufferedRecord<T>> {
+
+  private static final String DELETE_LOG_RECORD_KEY_FIELD = "record_key";
+  private static final List<String> DELETE_LOG_ORDERING_FIELD_NAMES = 
Arrays.asList("ordering_val");
+
+  private final HoodieReaderContext<T> readerContext;
+  private final HoodieStorage storage;
+  private final InputSplit inputSplit;
+  private final HoodieSchema readerSchema;
+  private final List<String> orderingFieldNames;
+  private final boolean includeBaseFile;
+  private final BufferedRecordMerger<T> bufferedRecordMerger;
+  private final UpdateProcessor<T> updateProcessor;
+  private final LoserTree<T> readers;
+  private final int spillThreshold;
+  private final String spillBasePath;
+  private BufferedRecord<T> nextRecord;
+
+  /**
+   * Creates an iterator that merges both the L1/base file, when present, and 
all L0 native log files.
+   */
+  public LsmFileGroupRecordIterator(HoodieReaderContext<T> readerContext,
+                                    HoodieStorage storage,
+                                    InputSplit inputSplit,
+                                    List<String> orderingFieldNames,
+                                    HoodieTableMetaClient metaClient,
+                                    TypedProperties props,
+                                    ReaderParameters readerParameters,
+                                    HoodieReadStats readStats,
+                                    Option<BaseFileUpdateCallback<T>> 
fileGroupUpdateCallback) throws IOException {
+    this(readerContext, storage, inputSplit, orderingFieldNames, metaClient, 
props, readerParameters, readStats, fileGroupUpdateCallback, true);
+  }
+
+  /**
+   * Creates an iterator over an LSM file group.
+   *
+   * @param includeBaseFile whether the L1/base file should be included in the 
merge. Passing
+   *                        {@code false} produces a log-only view for callers 
that only need L0 data.
+   */
+  public LsmFileGroupRecordIterator(HoodieReaderContext<T> readerContext,
+                                    HoodieStorage storage,
+                                    InputSplit inputSplit,
+                                    List<String> orderingFieldNames,
+                                    HoodieTableMetaClient metaClient,
+                                    TypedProperties props,
+                                    ReaderParameters readerParameters,
+                                    HoodieReadStats readStats,
+                                    Option<BaseFileUpdateCallback<T>> 
fileGroupUpdateCallback,
+                                    boolean includeBaseFile) throws 
IOException {
+    this.readerContext = readerContext;
+    this.storage = storage;
+    this.inputSplit = inputSplit;
+    this.readerSchema = readerContext.getSchemaHandler().getRequiredSchema();
+    this.orderingFieldNames = orderingFieldNames;
+    this.includeBaseFile = includeBaseFile;
+    this.bufferedRecordMerger = BufferedRecordMergerFactory.create(
+        readerContext, readerContext.getMergeMode(), false, 
readerContext.getRecordMerger(),
+        readerSchema, readerContext.getPayloadClasses(props), props, 
metaClient.getTableConfig().getPartialUpdateMode());
+    this.updateProcessor = UpdateProcessor.create(readStats, readerContext, 
readerParameters.isEmitDeletes(), fileGroupUpdateCallback, props);
+    this.spillThreshold = Math.max(0, 
props.getInteger(LSM_SORT_MERGE_SPILL_THRESHOLD.key(), 
LSM_SORT_MERGE_SPILL_THRESHOLD.defaultValue()));
+    this.spillBasePath = props.getString(SPILLABLE_MAP_BASE_PATH.key(), 
getDefaultSpillableMapBasePath());
+    this.readers = new LoserTree<>(initializeReaders());
+  }
+
+  /**
+   * Builds one sorted-run reader for each sorted run that has at least one 
record.
+   *
+   * <p>The assigned {@code mergeOrder} is the stable source precedence used 
when multiple runs expose
+   * the same key. It is assigned before spill selection so direct and spilled 
iterators remain
+   * semantically identical during the loser-tree merge.
+   */
+  private List<SortedRunReader<T>> initializeReaders() throws IOException {
+    List<SortedRunReader<T>> sortedRunReaders = new ArrayList<>();
+    int mergeOrder = 0;
+    boolean hasBaseFileReader = includeBaseFile && 
inputSplit.getBaseFileOption().isPresent();
+    if (hasBaseFileReader) {
+      addReader(sortedRunReaders, mergeOrder++, 
createBaseFileIterator(inputSplit.getBaseFileOption().get()));
+    }
+
+    List<LogReaderSpec> logReaderSpecs = new ArrayList<>();
+    for (HoodieLogFile logFile : inputSplit.getLogFiles()) {
+      logReaderSpecs.add(new LogReaderSpec(mergeOrder++, logFile));
+    }
+    Set<Integer> directLogMergeOrders = 
selectDirectLogMergeOrders(logReaderSpecs, hasBaseFileReader);
+    for (LogReaderSpec spec : logReaderSpecs) {
+      ClosableIterator<BufferedRecord<T>> iterator = 
createFileIterator(spec.logFile.getPathInfo(), spec.logFile.getPath(), 
spec.logFile.getFileSize());
+      addReader(sortedRunReaders, spec.mergeOrder, 
maybeSpillIterator(directLogMergeOrders.contains(spec.mergeOrder), iterator));
+    }
+    return sortedRunReaders;
+  }
+
+  /**
+   * Selects which L0 log readers stay direct under the configured spill 
threshold.
+   *
+   * <p>The base/L1 reader consumes one direct-reader slot when present and is 
never spilled. Remaining
+   * direct-reader budget is spent on native delete logs first, then smaller 
log files, because those
+   * readers tend to be cheaper to keep open while avoiding unnecessary spill 
materialization.
+   */
+  private Set<Integer> selectDirectLogMergeOrders(List<LogReaderSpec> 
logReaderSpecs, boolean hasBaseFileReader) {
+    return selectDirectLogMergeOrders(logReaderSpecs, hasBaseFileReader, 
spillThreshold);
+  }
+
+  @VisibleForTesting
+  static Set<Integer> selectDirectLogMergeOrders(List<LogReaderSpec> 
logReaderSpecs,
+                                                 boolean hasBaseFileReader,
+                                                 int spillThreshold) {
+    int directLogBudget = spillThreshold - (hasBaseFileReader ? 1 : 0);
+    if (directLogBudget <= 0) {
+      return new HashSet<>();
+    }
+    Set<Integer> directMergeOrders = new HashSet<>();
+    logReaderSpecs.stream()
+        .sorted(Comparator
+            .comparing((LogReaderSpec spec) -> !spec.nativeDeleteLog)
+            .thenComparingLong(spec -> spec.fileSize)
+            .thenComparingInt(spec -> spec.mergeOrder))
+        .limit(directLogBudget)
+        .forEach(spec -> directMergeOrders.add(spec.mergeOrder));
+    return directMergeOrders;
+  }
+
+  /**
+   * Returns the original iterator when it is selected for direct reading, 
otherwise materializes it
+   * into a sequential spill iterator.
+   */
+  private ClosableIterator<BufferedRecord<T>> maybeSpillIterator(boolean 
directReader,
+                                                                 
ClosableIterator<BufferedRecord<T>> iterator) {
+    if (directReader) {
+      return iterator;
+    }
+    return new SpillableLsmRecordIterator<>(iterator, 
readerContext.getRecordSerializer(), readerContext.getRecordContext(), 
spillBasePath);
+  }
+
+  /**
+   * Metadata used only for choosing the direct-versus-spilled L0 reader plan.
+   */
+  @VisibleForTesting
+  static class LogReaderSpec {
+    final int mergeOrder;
+    final HoodieLogFile logFile;
+    final boolean nativeDeleteLog;
+    final long fileSize;
+
+    LogReaderSpec(int mergeOrder, HoodieLogFile logFile) {
+      this.mergeOrder = mergeOrder;
+      this.logFile = logFile;
+      this.nativeDeleteLog = 
FSUtils.isNativeDeleteLogFile(logFile.getFileName());
+      this.fileSize = logFile.getFileSize() >= 0 ? logFile.getFileSize() : 
Long.MAX_VALUE;
+    }
+  }
+
+  /**
+   * Adds a reader to the merge only when the underlying sorted run contains 
at least one record.
+   */
+  private void addReader(List<SortedRunReader<T>> sortedRunReaders, int 
mergeOrder, ClosableIterator<BufferedRecord<T>> iterator) {
+    SortedRunReader<T> sortedRunReader = new SortedRunReader<>(mergeOrder, 
iterator);
+    if (sortedRunReader.advance()) {
+      sortedRunReaders.add(sortedRunReader);
+    } else {
+      sortedRunReader.close();
+    }
+  }
+
+  /**
+   * Creates the L1/base sorted-run iterator.
+   */
+  private ClosableIterator<BufferedRecord<T>> 
createBaseFileIterator(HoodieBaseFile baseFile) throws IOException {
+    if (baseFile.getBootstrapBaseFile().isPresent()) {
+      // Bootstrap base files require joining the skeleton file with the 
external data file.
+      // Keep that path on HoodieFileGroupReader until the LSM reader 
implements the same merge.
+      throw new UnsupportedOperationException("LSM file group reader does not 
support bootstrap base files");
+    }
+    return createFileIterator(baseFile.getPathInfo(), 
baseFile.getStoragePath(), baseFile.getFileSize());
+  }
+
+  /**
+   * Creates a sorted-run iterator for a parquet data file or a native parquet 
log file.
+   *
+   * <p>Native delete logs use a specialized schema and are routed through
+   * {@link #createNativeDeleteLogIterator(StoragePathInfo, StoragePath, 
long)}.
+   */
+  private ClosableIterator<BufferedRecord<T>> 
createFileIterator(StoragePathInfo pathInfo,
+                                                                 StoragePath 
path,
+                                                                 long 
fileSize) throws IOException {
+    StoragePath storagePath = pathInfo != null ? pathInfo.getPath() : path;
+    if (FSUtils.isNativeDeleteLogFile(storagePath.getName())) {
+      return createNativeDeleteLogIterator(pathInfo, storagePath, fileSize);
+    }
+    Pair<HoodieSchema, Map<String, String>> requiredSchemaAndRenamedColumns =
+        
readerContext.getSchemaHandler().getRequiredSchemaForFileAndRenamedColumns(storagePath);
+    HoodieSchema fileRequiredSchema = 
requiredSchemaAndRenamedColumns.getLeft();
+    ClosableIterator<T> recordIterator;
+    if (pathInfo != null) {
+      recordIterator = readerContext.getFileRecordIterator(
+          pathInfo, 0, pathInfo.getLength(), 
readerContext.getSchemaHandler().getTableSchema(), fileRequiredSchema, storage);
+    } else {
+      long length = fileSize >= 0 ? fileSize : 
storage.getPathInfo(storagePath).getLength();
+      recordIterator = readerContext.getFileRecordIterator(
+          storagePath, 0, length, 
readerContext.getSchemaHandler().getTableSchema(), fileRequiredSchema, storage);
+    }
+    if (!areSchemasProjectionEquivalent(fileRequiredSchema, readerSchema) || 
!requiredSchemaAndRenamedColumns.getRight().isEmpty()) {
+      UnaryOperator<T> projector = readerContext.getRecordContext()
+          .projectRecord(fileRequiredSchema, readerSchema, 
requiredSchemaAndRenamedColumns.getRight());
+      recordIterator = new CloseableMappingIterator<>(recordIterator, 
projector);
+    }
+    if (readerContext.getInstantRange().isPresent()) {
+      recordIterator = readerContext.applyInstantRangeFilter(recordIterator);
+    }
+    return new CloseableMappingIterator<>(recordIterator, record -> 
BufferedRecords.fromEngineRecord(
+        readerContext.getRecordContext().seal(record),
+        readerSchema,
+        readerContext.getRecordContext(),
+        orderingFieldNames,
+        readerContext.getRecordContext().isDeleteRecord(record, 
readerContext.getSchemaHandler().getDeleteContext().withReaderSchema(readerSchema))));
+  }
+
+  /**
+   * Creates delete records from an RFC-103 native delete log.
+   *
+   * <p>The delete log schema intentionally contains only the record key and 
ordering value fields;
+   * partition path and full data columns are not read for delete-only logs.
+   */
+  private ClosableIterator<BufferedRecord<T>> 
createNativeDeleteLogIterator(StoragePathInfo pathInfo,
+                                                                            
StoragePath storagePath,
+                                                                            
long fileSize) throws IOException {
+    ClosableIterator<T> recordIterator;
+    if (pathInfo != null) {
+      recordIterator = readerContext.getFileRecordIterator(
+          pathInfo, 0, pathInfo.getLength(), HoodieSchemas.DELETE_LOG_SCHEMA, 
HoodieSchemas.DELETE_LOG_SCHEMA, storage);
+    } else {
+      long length = fileSize >= 0 ? fileSize : 
storage.getPathInfo(storagePath).getLength();
+      recordIterator = readerContext.getFileRecordIterator(
+          storagePath, 0, length, HoodieSchemas.DELETE_LOG_SCHEMA, 
HoodieSchemas.DELETE_LOG_SCHEMA, storage);
+    }
+    return new CloseableMappingIterator<>(recordIterator, record -> {
+      return createNativeDeleteRecord(readerContext, record);
+    });
+  }
+
+  @VisibleForTesting
+  static <T> BufferedRecord<T> createNativeDeleteRecord(HoodieReaderContext<T> 
readerContext, T record) {
+    Object recordKey = readerContext.getRecordContext().getValue(record, 
HoodieSchemas.DELETE_LOG_SCHEMA, DELETE_LOG_RECORD_KEY_FIELD);
+    // Preserve the delete log's ordering value so event-time/custom merge 
modes can compare
+    // deletes against data records instead of treating every native delete as 
commit-time ordered.
+    Comparable orderingValue =
+        readerContext.getRecordContext().getOrderingValue(record, 
HoodieSchemas.DELETE_LOG_SCHEMA, DELETE_LOG_ORDERING_FIELD_NAMES);

Review Comment:
   Addressed in ab0f6180551a. Native delete logs now decode `ordering_val` from 
the bytes field before creating the buffered delete record: 
`LsmFileGroupRecordIterator` calls `RecordContext.getBytes(...)` and then 
`DeleteRecord.decodeOrderingValue(...)`. The encode/decode helpers use Kryo 
serialization for the Java `Comparable` ordering value.
   
   I also added `JavaTypeConverter.castToBytes(...)` so the bytes conversion 
stays engine-specific: default handles Java `byte[]`, Avro handles 
`ByteBuffer`, and Hive handles `BytesWritable.copyBytes()` to avoid returning 
the backing buffer. Added focused coverage in `TestDeleteRecord`, 
`TestLsmFileGroupRecordIterator`, `TestAvroJavaTypeConverter`, 
`TestAvroRecordContext`, `TestDefaultJavaTypeConverter`, 
`TestHiveJavaTypeConverter`, and `TestHiveHoodieReaderContext`.



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