lokeshj1703 commented on code in PR #12558:
URL: https://github.com/apache/hudi/pull/12558#discussion_r1908717943


##########
hudi-client/hudi-spark-client/src/main/java/org/apache/hudi/client/utils/SparkMetadataWriterUtils.java:
##########
@@ -226,4 +278,155 @@ private static List<Row> toRows(List<HoodieRecord> 
records, Schema schema, Hoodi
         .collect(Collectors.toList());
     return avroRecords;
   }
+
+  /**
+   * Generates expression index records
+   * @param partitionFilePathAndSizeTriplet Triplet of file path, file size 
and partition name to which file belongs
+   * @param indexDefinition Hoodie Index Definition for the expression index 
for which records need to be generated
+   * @param metaClient Hoodie Table Meta Client
+   * @param parallelism Parallelism to use for engine operations
+   * @param readerSchema Schema of reader
+   * @param instantTime Instant time
+   * @param engineContext HoodieEngineContext
+   * @param dataWriteConfig Write Config for the data table
+   * @param metadataWriteConfig Write config for the metadata table
+   * @param partitionRecordsFunctionOpt Function used to generate partition 
stat records for the EI. It takes the column range metadata generated for the 
provided partition files as input
+   *                                    and uses those to generate the final 
partition stats
+   * @return ExpressionIndexComputationMetadata containing both EI column stat 
records and partition stat records if partitionRecordsFunctionOpt is provided
+   */
+  @SuppressWarnings("checkstyle:LineLength")
+  public static ExpressionIndexComputationMetadata 
getExprIndexRecords(List<Pair<String, Pair<String, Long>>> 
partitionFilePathAndSizeTriplet, HoodieIndexDefinition indexDefinition,
+                                                                       
HoodieTableMetaClient metaClient, int parallelism, Schema readerSchema, String 
instantTime,
+                                                                       
HoodieEngineContext engineContext, HoodieWriteConfig dataWriteConfig, 
HoodieWriteConfig metadataWriteConfig,
+                                                                       
Option<Function<HoodiePairData<String, HoodieColumnRangeMetadata<Comparable>>, 
HoodieData<HoodieRecord>>> partitionRecordsFunctionOpt) {
+    HoodieSparkEngineContext sparkEngineContext = (HoodieSparkEngineContext) 
engineContext;
+    if (indexDefinition.getSourceFields().isEmpty()) {
+      // In case there are no columns to index, bail
+      return new 
ExpressionIndexComputationMetadata(sparkEngineContext.emptyHoodieData());
+    }
+
+    // NOTE: We are assuming that the index expression is operating on a 
single column
+    //       HUDI-6994 will address this.
+    ValidationUtils.checkArgument(indexDefinition.getSourceFields().size() == 
1, "Only one source field is supported for expression index");
+    String columnToIndex = indexDefinition.getSourceFields().get(0);
+    SQLContext sqlContext = sparkEngineContext.getSqlContext();
+
+    // Read records and append expression index metadata to every row
+    HoodieData<Row> rowData = 
sparkEngineContext.parallelize(partitionFilePathAndSizeTriplet, parallelism)
+        .flatMap((SerializableFunction<Pair<String, Pair<String, Long>>, 
Iterator<Row>>) entry ->
+            getExpressionIndexRecordsIterator(metaClient, readerSchema, 
dataWriteConfig, entry, sqlContext));
+
+    // Generate dataset with expression index metadata
+    StructType structType = 
AvroConversionUtils.convertAvroSchemaToStructType(readerSchema)
+        
.add(StructField.apply(HoodieExpressionIndex.HOODIE_EXPRESSION_INDEX_PARTITION, 
DataTypes.StringType, false, Metadata.empty()))
+        
.add(StructField.apply(HoodieExpressionIndex.HOODIE_EXPRESSION_INDEX_RELATIVE_FILE_PATH,
 DataTypes.StringType, false, Metadata.empty()))
+        
.add(StructField.apply(HoodieExpressionIndex.HOODIE_EXPRESSION_INDEX_FILE_SIZE, 
DataTypes.LongType, false, Metadata.empty()));
+    Dataset<Row> rowDataset = 
sparkEngineContext.getSqlContext().createDataFrame(HoodieJavaRDD.getJavaRDD(rowData).rdd(),
 structType);
+
+    // Apply expression index and generate the column to index
+    HoodieExpressionIndex<Column, Column> expressionIndex =
+        new HoodieSparkExpressionIndex(indexDefinition.getIndexName(), 
indexDefinition.getIndexFunction(), indexDefinition.getSourceFields(), 
indexDefinition.getIndexOptions());
+    Column indexedColumn = 
expressionIndex.apply(Collections.singletonList(rowDataset.col(columnToIndex)));
+    rowDataset = rowDataset.withColumn(columnToIndex, indexedColumn);
+
+    // Generate expression index records
+    if 
(indexDefinition.getIndexType().equalsIgnoreCase(PARTITION_NAME_COLUMN_STATS)) {
+      return getExpressionIndexRecordsUsingColumnStats(rowDataset, 
expressionIndex, columnToIndex, partitionRecordsFunctionOpt);
+    } else if 
(indexDefinition.getIndexType().equalsIgnoreCase(PARTITION_NAME_BLOOM_FILTERS)) 
{
+      return getExpressionIndexRecordsUsingBloomFilter(rowDataset, 
columnToIndex, metadataWriteConfig, instantTime, 
indexDefinition.getIndexName());
+    } else {
+      throw new UnsupportedOperationException(indexDefinition.getIndexType() + 
" is not yet supported");
+    }
+  }
+
+  private static Iterator<Row> 
getExpressionIndexRecordsIterator(HoodieTableMetaClient metaClient, Schema 
readerSchema, HoodieWriteConfig dataWriteConfig, Pair<String, Pair<String, 
Long>> entry,
+                                                       SQLContext sqlContext) {
+    String partition = entry.getKey();
+    Pair<String, Long> filePathSizePair = entry.getValue();
+    String filePath = filePathSizePair.getKey();
+    String relativeFilePath = 
FSUtils.getRelativePartitionPath(metaClient.getBasePath(), new 
StoragePath(filePath));
+    long fileSize = filePathSizePair.getValue();
+    List<Row> rowsForFilePath = readRecordsAsRows(new StoragePath[] {new 
StoragePath(filePath)}, sqlContext, metaClient, readerSchema, dataWriteConfig,
+        FSUtils.isBaseFile(new 
StoragePath(filePath.substring(filePath.lastIndexOf("/") + 1))));
+    List<Row> rowsWithIndexMetadata = 
getRowsWithExpressionIndexMetadata(rowsForFilePath, partition, 
relativeFilePath, fileSize);
+    return rowsWithIndexMetadata.iterator();
+  }
+
+  /**
+   * Fetches column range metadata from the EI partition for all the partition 
files impacted by the commit. This would only take into account completed 
commits for the partitions
+   * since EI updates have not yet been committed.
+   *
+   * @param commitMetadata Hoodie commit metadata
+   * @param indexPartition Partition name for the expression index
+   * @param engineContext  Hoodie engine context
+   * @param tableMetadata
+   * @param dataMetaClient Data table meta client
+   * @param metadataConfig Hoodie metadata config
+   * @return HoodiePairData of partition name and list of column range 
metadata for the partitions
+   */
+  public static HoodiePairData<String, 
List<HoodieColumnRangeMetadata<Comparable>>> 
getExpressionIndexPartitionStatUpdates(HoodieCommitMetadata commitMetadata, 
String indexPartition,
+                                                                               
                                            HoodieEngineContext engineContext, 
HoodieTableMetadata tableMetadata,
+                                                                               
                                            HoodieTableMetaClient 
dataMetaClient, HoodieMetadataConfig metadataConfig) {
+    List<HoodieWriteStat> allWriteStats = 
commitMetadata.getPartitionToWriteStats().values().stream()
+        .flatMap(Collection::stream).collect(Collectors.toList());
+    if (allWriteStats.isEmpty()) {
+      return engineContext.emptyHoodieData().mapToPair(o -> Pair.of("", new 
ArrayList<>()));
+    }
+
+    HoodieIndexDefinition indexDefinition = 
HoodieTableMetadataUtil.getHoodieIndexDefinition(indexPartition, 
dataMetaClient);
+    List<String> columnsToIndex = 
Collections.singletonList(indexDefinition.getSourceFields().get(0));
+    try {
+      Option<Schema> writerSchema =
+          
Option.ofNullable(commitMetadata.getMetadata(HoodieCommitMetadata.SCHEMA_KEY))
+              .flatMap(writerSchemaStr ->
+                  isNullOrEmpty(writerSchemaStr)
+                      ? Option.empty()
+                      : Option.of(new Schema.Parser().parse(writerSchemaStr)));
+      HoodieTableConfig tableConfig = dataMetaClient.getTableConfig();
+      Schema tableSchema = writerSchema.map(schema -> 
tableConfig.populateMetaFields() ? addMetadataFields(schema) : schema)
+          .orElseThrow(() -> new IllegalStateException(String.format("Expected 
writer schema in commit metadata %s", commitMetadata)));
+      // filter columns with only supported types
+      final List<String> validColumnsToIndex = columnsToIndex.stream()
+          .filter(col -> 
HoodieTableMetadataUtil.SUPPORTED_META_FIELDS_PARTITION_STATS.contains(col) || 
HoodieTableMetadataUtil.validateDataTypeForPartitionStats(col, tableSchema))
+          .collect(Collectors.toList());
+      if (validColumnsToIndex.isEmpty()) {
+        return engineContext.emptyHoodieData().mapToPair(o -> Pair.of("", new 
ArrayList<>()));
+      }
+      LOG.debug("Indexing following columns for partition stats index: {}", 
validColumnsToIndex);
+      // Group by partitionPath and then gather write stats lists,
+      // where each inner list contains HoodieWriteStat objects that have the 
same partitionPath.
+      List<List<HoodieWriteStat>> partitionedWriteStats = new 
ArrayList<>(allWriteStats.stream()
+          .collect(Collectors.groupingBy(HoodieWriteStat::getPartitionPath))

Review Comment:
   Added test for it. Yes, it is tracked as empty string.



##########
hudi-common/src/main/java/org/apache/hudi/metadata/HoodieTableMetadataUtil.java:
##########
@@ -397,7 +395,10 @@ public static Map<String, HoodieData<HoodieRecord>> 
convertMetadataToRecords(Hoo
     if (enabledPartitionTypes.contains(MetadataPartitionType.PARTITION_STATS)) 
{
       
checkState(MetadataPartitionType.COLUMN_STATS.isMetadataPartitionAvailable(dataMetaClient),
           "Column stats partition must be enabled to generate partition stats. 
Please enable: " + 
HoodieMetadataConfig.ENABLE_METADATA_INDEX_COLUMN_STATS.key());
-      final HoodieData<HoodieRecord> partitionStatsRDD = 
convertMetadataToPartitionStatsRecords(commitMetadata, context, dataMetaClient, 
metadataConfig);
+      // Generate Hoodie Pair data of partition name and list of column range 
metadata for all the files in that partition
+      HoodiePairData<String, List<HoodieColumnRangeMetadata<Comparable>>> 
columnRangeMetadata = 
convertMetadataToPartitionStatsColumnRangeMetadata(commitMetadata, context,
+          dataMetaClient, tableMetadata, metadataConfig);
+      final HoodieData<HoodieRecord> partitionStatsRDD = 
convertMetadataToPartitionStatsRecords(columnRangeMetadata, dataMetaClient);

Review Comment:
   Addressed



##########
hudi-common/src/main/java/org/apache/hudi/metadata/HoodieTableMetadataUtil.java:
##########
@@ -2499,14 +2535,36 @@ private static 
List<HoodieColumnRangeMetadata<Comparable>> getFileStatsRangeMeta
     return readColumnRangeMetadataFrom(partitionPath, fileName, 
datasetMetaClient, columnsToIndex, maxBufferSize);
   }
 
-  public static HoodieData<HoodieRecord> 
convertMetadataToPartitionStatsRecords(HoodieCommitMetadata commitMetadata,
-                                                                               
 HoodieEngineContext engineContext,
-                                                                               
 HoodieTableMetaClient dataMetaClient,
-                                                                               
 HoodieMetadataConfig metadataConfig) {
+  public static HoodieData<HoodieRecord> 
convertMetadataToPartitionStatsRecords(HoodiePairData<String, 
List<HoodieColumnRangeMetadata<Comparable>>> columnRangeMetadataPartitionPair,
+                                                                               
 HoodieTableMetaClient dataMetaClient) {
+    return 
convertMetadataToPartitionStatsRecords(columnRangeMetadataPartitionPair.flatMapValues(List::iterator),
+        Option.empty(), isShouldScanColStatsForTightBound(dataMetaClient));
+  }
+
+  public static HoodieData<HoodieRecord> 
convertMetadataToPartitionStatsRecords(HoodiePairData<String, 
HoodieColumnRangeMetadata<Comparable>> columnRangeMetadataPartitionPair,
+                                                                               
 Option<String> indexPartitionOpt, boolean isTightBound) {
+    try {
+      return columnRangeMetadataPartitionPair
+          .groupByKey()
+          .map(pair -> {
+            final String partitionName = pair.getLeft();
+            return collectAndProcessColumnMetadata(pair.getRight(), 
partitionName, isTightBound, indexPartitionOpt);
+          })
+          .flatMap(recordStream -> recordStream.iterator());
+    } catch (Exception e) {
+      throw new HoodieException("Failed to generate column stats records for 
metadata table", e);
+    }
+  }
+
+  public static HoodiePairData<String, 
List<HoodieColumnRangeMetadata<Comparable>>> 
convertMetadataToPartitionStatsColumnRangeMetadata(HoodieCommitMetadata 
commitMetadata,
+                                                                               
                                                        HoodieEngineContext 
engineContext,
+                                                                               
                                                        HoodieTableMetaClient 
dataMetaClient,
+                                                                               
                                                        HoodieTableMetadata 
tableMetadata,
+                                                                               
                                                        HoodieMetadataConfig 
metadataConfig) {
     List<HoodieWriteStat> allWriteStats = 
commitMetadata.getPartitionToWriteStats().values().stream()
         .flatMap(Collection::stream).collect(Collectors.toList());
     if (allWriteStats.isEmpty()) {
-      return engineContext.emptyHoodieData();
+      return engineContext.emptyHoodieData().mapToPair(o -> Pair.of("", new 
ArrayList<>()));

Review Comment:
   After fusion the mapping is removed



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