[DNM] Triaging tests getting stuck issue

hudi-client/hudi-client-common/src/main/java/org/apache/hudi/client/transaction/lock/FileSystemBasedLockProvider.java

@@ -84,7 +84,7 @@ public FileSystemBasedLockProvider(final LockConfiguration lockConfiguration, fi
     this.lockInfo = new LockInfo();
     this.sdf = new SimpleDateFormat("yyyy-MM-dd HH:mm:ss.SSS");
     this.storage = HoodieStorageUtils.getStorage(this.lockFile.toString(), configuration);
-    List<String> customSupportedFSs = lockConfiguration.getConfig().getStringList(HoodieCommonConfig.HOODIE_FS_ATOMIC_CREATION_SUPPORT.key(), ",", new ArrayList<>());
+    List<String> customSupportedFSs = lockConfiguration.getConfig().getStringList(HoodieCommonConfig.FS_ATOMIC_CREATION_SUPPORT.key(), ",", new ArrayList<>());
     if (!customSupportedFSs.contains(this.storage.getScheme()) && !StorageSchemes.isAtomicCreationSupported(this.storage.getScheme())) {
       throw new HoodieLockException("Unsupported scheme :" + this.storage.getScheme() + ", since this fs can not support atomic creation");
     }

hudi-client/hudi-client-common/src/main/java/org/apache/hudi/metadata/HoodieBackedTableMetadataWriter.java

@@ -506,7 +506,7 @@ private String generateUniqueInstantTime(String initializationTime) {
 
   private Pair<Integer, HoodieData<HoodieRecord>> initializePartitionStatsIndex(List<DirectoryInfo> partitionInfoList) throws IOException {
     HoodieData<HoodieRecord> records = HoodieTableMetadataUtil.convertFilesToPartitionStatsRecords(engineContext, getPartitionFileSlicePairs(), dataWriteConfig.getMetadataConfig(), dataMetaClient,
-        Option.of(new Schema.Parser().parse(dataWriteConfig.getWriteSchema())));
+        Option.empty());
     final int fileGroupCount = dataWriteConfig.getMetadataConfig().getPartitionStatsIndexFileGroupCount();
     return Pair.of(fileGroupCount, records);
   }

hudi-common/src/main/java/org/apache/hudi/BaseHoodieTableFileIndex.java

@@ -514,7 +514,7 @@ private static HoodieTableMetadata createMetadataTable(
       StoragePath basePath
   ) {
     HoodieTableMetadata newTableMetadata = HoodieTableMetadata.create(
-        engineContext, storage, metadataConfig, basePath.toString(), true);
+        engineContext, storage, metadataConfig, basePath.toString(), false);
     return newTableMetadata;
   }
 

hudi-common/src/main/java/org/apache/hudi/common/config/HoodieCommonConfig.java

@@ -113,7 +113,7 @@ public class HoodieCommonConfig extends HoodieConfig {
           + " instead of the instant's commit time."
       );
 
-  public static final ConfigProperty<String> HOODIE_FS_ATOMIC_CREATION_SUPPORT = ConfigProperty
+  public static final ConfigProperty<String> FS_ATOMIC_CREATION_SUPPORT = ConfigProperty
       .key("hoodie.fs.atomic_creation.support")
       .defaultValue("")
       .markAdvanced()

hudi-common/src/main/java/org/apache/hudi/common/config/HoodieMetadataConfig.java

@@ -62,7 +62,7 @@ public final class HoodieMetadataConfig extends HoodieConfig {
       .sinceVersion("0.7.0")
       .withDocumentation("Enable the internal metadata table which serves table metadata like level file listings");
 
-  public static final boolean DEFAULT_METADATA_ENABLE_FOR_READERS = false;
+  public static final boolean DEFAULT_METADATA_ENABLE_FOR_READERS = true;
 
   // Enable metrics for internal Metadata Table
   public static final ConfigProperty<Boolean> METRICS_ENABLE = ConfigProperty
@@ -219,6 +219,7 @@ public final class HoodieMetadataConfig extends HoodieConfig {
           + "metadata table which are never added before. This config determines how to handle "
           + "such spurious deletes");
 
+  // FIXME-vc: should this be turned on?
   public static final ConfigProperty<Boolean> ENABLE_OPTIMIZED_LOG_BLOCKS_SCAN = ConfigProperty
       .key(METADATA_PREFIX + OPTIMIZED_LOG_BLOCKS_SCAN)
       .defaultValue(false)
@@ -316,6 +317,9 @@ public final class HoodieMetadataConfig extends HoodieConfig {
       .withDocumentation("Initializes the metadata table by reading from the file system when the table is first created. Enabled by default. "
           + "Warning: This should only be disabled when manually constructing the metadata table outside of typical Hudi writer flows.");
 
+  // FIXME-vc: does this need to be turned on for having basic date-partitioned workloads working?
+  // Why do we need a config for this. We can't enable functional index via spark-ds or by other means. only way to enable functioanl index is via sql.
+  // So, I don't see a necessity for this config.
   public static final ConfigProperty<Boolean> FUNCTIONAL_INDEX_ENABLE_PROP = ConfigProperty
       .key(METADATA_PREFIX + ".index.functional.enable")
       .defaultValue(false)
@@ -364,6 +368,7 @@ public final class HoodieMetadataConfig extends HoodieConfig {
       .sinceVersion("1.0.0")
       .withDocumentation("Enable secondary index within the Metadata Table.");
 
+  //FIXME-vc: this needs to be a list of columns? do we throw error if different columns are specifed each write?
   public static final ConfigProperty<String> SECONDARY_INDEX_COLUMN = ConfigProperty
       .key(METADATA_PREFIX + ".index.secondary.column")
       .noDefaultValue()

hudi-common/src/main/java/org/apache/hudi/metadata/HoodieTableMetadataUtil.java

@@ -1423,11 +1423,7 @@ private static Comparable<?> coerceToComparable(Schema schema, Object val) {
   }
 
   private static boolean canCompare(Schema schema, HoodieRecordType recordType) {
-    // if recordType is SPARK then we cannot compare RECORD and ARRAY types in addition to MAP type
-    if (recordType == HoodieRecordType.SPARK) {
-      return schema.getType() != Schema.Type.RECORD && schema.getType() != Schema.Type.ARRAY && schema.getType() != Schema.Type.MAP;
-    }
-    return schema.getType() != Schema.Type.MAP;
+    return schema.getType() != Schema.Type.RECORD && schema.getType() != Schema.Type.ARRAY && schema.getType() != Schema.Type.MAP;
   }
 
   public static Set<String> getInflightMetadataPartitions(HoodieTableConfig tableConfig) {
@@ -2291,9 +2287,11 @@ public static HoodieData<HoodieRecord> convertMetadataToPartitionStatsRecords(Ho
                   .filter(stats -> fileNames.contains(stats.getFileName()))
                   .map(HoodieColumnRangeMetadata::fromColumnStats)
                   .collectAsList();
-          // incase of shouldScanColStatsForTightBound = true, we compute stats for the partition of interest for all files from getLatestFileSlice() excluding current commit here
-          // already fileColumnMetadata contains stats for files from the current infliht commit. so, we are adding both together and sending it to collectAndProcessColumnMetadata
-          fileColumnMetadata.add(partitionColumnMetadata);
+          if (!partitionColumnMetadata.isEmpty()) {
+            // incase of shouldScanColStatsForTightBound = true, we compute stats for the partition of interest for all files from getLatestFileSlice() excluding current commit here
+            // already fileColumnMetadata contains stats for files from the current infliht commit. so, we are adding both together and sending it to collectAndProcessColumnMetadata
+            fileColumnMetadata.add(partitionColumnMetadata);
+          }
         }
 
         return collectAndProcessColumnMetadata(fileColumnMetadata, partitionName, shouldScanColStatsForTightBound).iterator();

hudi-examples/hudi-examples-k8s/src/main/java/org/apache/hudi/examples/k8s/quickstart/HudiDataStreamWriter.java

@@ -104,7 +104,7 @@ private static void configureCheckpointing(StreamExecutionEnvironment env) {
   private static Map<String, String> createHudiOptions(String basePath) {
     Map<String, String> options = new HashMap<>();
     options.put(FlinkOptions.PATH.key(), basePath);
-    options.put(HoodieCommonConfig.HOODIE_FS_ATOMIC_CREATION_SUPPORT.key(), "s3a");
+    options.put(HoodieCommonConfig.FS_ATOMIC_CREATION_SUPPORT.key(), "s3a");
     options.put(FlinkOptions.TABLE_TYPE.key(), HoodieTableType.MERGE_ON_READ.name());
     options.put(FlinkOptions.PRECOMBINE_FIELD.key(), "ts");
     options.put(FlinkOptions.RECORD_KEY_FIELD.key(), "uuid");

hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/HoodieCLIUtils.scala

@@ -113,7 +113,7 @@ object HoodieCLIUtils extends Logging {
   }
 
   def getLockOptions(tablePath: String, schema: String, lockConfig: TypedProperties): Map[String, String] = {
-    val customSupportedFSs = lockConfig.getStringList(HoodieCommonConfig.HOODIE_FS_ATOMIC_CREATION_SUPPORT.key, ",", new ArrayList[String])
+    val customSupportedFSs = lockConfig.getStringList(HoodieCommonConfig.FS_ATOMIC_CREATION_SUPPORT.key, ",", new ArrayList[String])
     if (schema == null || customSupportedFSs.contains(schema) || StorageSchemes.isAtomicCreationSupported(schema)) {
       logInfo("Auto config filesystem lock provider for metadata table")
       val props = FileSystemBasedLockProvider.getLockConfig(tablePath)

hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/HoodieFileIndex.scala

@@ -241,7 +241,7 @@ case class HoodieFileIndex(spark: SparkSession,
     hasPushedDownPartitionPredicates = true
 
     // If there are no data filters, return all the file slices.
-    // If isPartitionPurge is true, this fun is trigger by HoodiePruneFileSourcePartitions, don't look up candidate files
+    // If isPartitionPruned is true, this fun is trigger by HoodiePruneFileSourcePartitions, don't look up candidate files
     // If there are no file slices, return empty list.
     if (prunedPartitionsAndFileSlices.isEmpty || dataFilters.isEmpty || isPartitionPruned ) {
       prunedPartitionsAndFileSlices
@@ -263,7 +263,7 @@ case class HoodieFileIndex(spark: SparkSession,
           }
       }
 
-      logDebug(s"Overlapping candidate files from Column Stats or Record Level Index: ${candidateFilesNamesOpt.getOrElse(Set.empty)}")
+      logDebug(s"Overlapping candidate files from indexes: ${candidateFilesNamesOpt.getOrElse(Set.empty)}")
 
       var totalFileSliceSize = 0
       var candidateFileSliceSize = 0
@@ -338,7 +338,10 @@ case class HoodieFileIndex(spark: SparkSession,
           } catch {
             // If the partition values cannot be parsed by [[convertToPartitionPath]],
             // fall back to listing all partitions
-            case _: HoodieException => (false, listMatchingPartitionPaths(Seq.empty))
+            case e: HoodieException => {
+              logInfo(">>> Cannot use partition stats index for pruning partitions, fall back to listing all partitions", e)
+              (false, listMatchingPartitionPaths(Seq.empty))
+            }
           }
         } else {
           // Cannot use partition stats index (not available) for pruning partitions,
@@ -406,13 +409,17 @@ case class HoodieFileIndex(spark: SparkSession,
         if (indexSupport.isIndexAvailable && indexSupport.supportsQueryType(options)) {
           val prunedFileNames = indexSupport.computeCandidateIsStrict(spark, this, queryFilters, queryReferencedColumns,
             prunedPartitionsAndFileSlices, shouldPushDownFilesFilter)
+
+          logInfo(s">>> Found ${prunedFileNames} candidate files after data skipping, indexSupport: ${indexSupport.getIndexName}")
+
           if (prunedFileNames.nonEmpty) {
             return Try(prunedFileNames)
           }
         }
       }
     }
     validateConfig()
+    logInfo(s">>> No candidate files found after data skipping")
     Option.empty
   }
 

hudi-spark-datasource/hudi-spark-common/src/main/scala/org/apache/hudi/PartitionStatsIndexSupport.scala

@@ -97,11 +97,12 @@ class PartitionStatsIndexSupport(spark: SparkSession,
             //       filter does not prune any partition.
             val indexSchema = transposedPartitionStatsDF.schema
             val indexFilter = queryFilters.map(translateIntoColumnStatsIndexFilterExpr(_, indexSchema)).reduce(And)
-            Some(transposedPartitionStatsDF.where(new Column(indexFilter))
+            val s = Some(transposedPartitionStatsDF.where(new Column(indexFilter))
               .select(HoodieMetadataPayload.COLUMN_STATS_FIELD_FILE_NAME)
               .collect()
               .map(_.getString(0))
               .toSet)
+            s
           } else {
             // PARTITION_STATS index does not exist for any column in the filters, skip the pruning
             Option.empty

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/dml/TestInsertTable.scala

@@ -30,17 +30,18 @@ import org.apache.hudi.exception.{HoodieDuplicateKeyException, HoodieException}
 import org.apache.hudi.execution.bulkinsert.BulkInsertSortMode
 import org.apache.hudi.index.HoodieIndex.IndexType
 import org.apache.hudi.testutils.HoodieClientTestUtils.createMetaClient
-
 import org.apache.spark.scheduler.{SparkListener, SparkListenerStageSubmitted}
 import org.apache.spark.sql.SaveMode
 import org.apache.spark.sql.hudi.HoodieSqlCommonUtils
 import org.apache.spark.sql.hudi.common.HoodieSparkSqlTestBase
 import org.apache.spark.sql.hudi.common.HoodieSparkSqlTestBase.getLastCommitMetadata
 import org.junit.jupiter.api.Assertions.assertEquals
+import org.junit.jupiter.api.Disabled
 
 import java.io.File
 import java.util.concurrent.CountDownLatch
 
+@Disabled("triaging flaky test")
 class TestInsertTable extends HoodieSparkSqlTestBase {
 
   test("Test table type name incase-sensitive test") {
@@ -1997,6 +1998,7 @@ class TestInsertTable extends HoodieSparkSqlTestBase {
     }
   }
 
+  /*
   test("Test Bulk Insert Into Consistent Hashing Bucket Index Table") {
     withSQLConf("hoodie.datasource.write.operation" -> "bulk_insert") {
       Seq("false", "true").foreach { bulkInsertAsRow =>
@@ -2108,7 +2110,7 @@ class TestInsertTable extends HoodieSparkSqlTestBase {
       }
     }
     spark.sessionState.conf.unsetConf("hoodie.datasource.write.operation")
-  }
+  }*/
 
   /**
    * When neither of strict mode nor sql.write.operation is set, sql write operation is deduced as UPSERT
@@ -2236,7 +2238,7 @@ class TestInsertTable extends HoodieSparkSqlTestBase {
     spark.sessionState.conf.unsetConf("hoodie.datasource.write.operation")
   }
 
-  test("Test sql write operation with INSERT_INTO No explicit configs No Precombine") {
+  /*test("Test sql write operation with INSERT_INTO No explicit configs No Precombine") {
     spark.sessionState.conf.unsetConf(SPARK_SQL_INSERT_INTO_OPERATION.key)
     spark.sessionState.conf.unsetConf("hoodie.sql.insert.mode")
     spark.sessionState.conf.unsetConf("hoodie.datasource.insert.dup.policy")
@@ -2248,7 +2250,7 @@ class TestInsertTable extends HoodieSparkSqlTestBase {
         }
       }
     }
-  }
+  }*/
 
   var listenerCallCount: Int = 0
   var countDownLatch: CountDownLatch = _

hudi-utilities/src/main/java/org/apache/hudi/utilities/UtilHelpers.java

@@ -604,7 +604,7 @@ public static HoodieTableMetaClient createMetaClient(
 
   public static void addLockOptions(String basePath, String schema, TypedProperties props) {
     if (!props.containsKey(HoodieLockConfig.LOCK_PROVIDER_CLASS_NAME.key())) {
-      List<String> customSupportedFSs = props.getStringList(HoodieCommonConfig.HOODIE_FS_ATOMIC_CREATION_SUPPORT.key(), ",", new ArrayList<>());
+      List<String> customSupportedFSs = props.getStringList(HoodieCommonConfig.FS_ATOMIC_CREATION_SUPPORT.key(), ",", new ArrayList<>());
       if (schema == null || customSupportedFSs.contains(schema) || StorageSchemes.isAtomicCreationSupported(schema)) {
         props.putAll(FileSystemBasedLockProvider.getLockConfig(basePath));
       }