[HUDI-4170] Make user can use hoodie.datasource.read.paths to read necessary files

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

@@ -68,11 +68,9 @@ class DefaultSource extends RelationProvider
   override def createRelation(sqlContext: SQLContext,
                               optParams: Map[String, String],
                               schema: StructType): BaseRelation = {
-    // Add default options for unspecified read options keys.
-    val parameters = DataSourceOptionsHelper.parametersWithReadDefaults(optParams)
+    val path = optParams.get("path")
+    val readPathsStr = optParams.get(DataSourceReadOptions.READ_PATHS.key)
 
-    val path = parameters.get("path")
-    val readPathsStr = parameters.get(DataSourceReadOptions.READ_PATHS.key)
     if (path.isEmpty && readPathsStr.isEmpty) {
       throw new HoodieException(s"'path' or '$READ_PATHS' or both must be specified.")
     }
@@ -87,6 +85,16 @@ class DefaultSource extends RelationProvider
     } else {
       Seq.empty
     }
+
+    // Add default options for unspecified read options keys.
+    val parameters = if(globPaths.nonEmpty) {
+      Map(
+        "glob.paths" -> globPaths.mkString(",")
+      ) ++ DataSourceOptionsHelper.parametersWithReadDefaults(optParams)
+    } else {
+      DataSourceOptionsHelper.parametersWithReadDefaults(optParams)
+    }
+
     // Get the table base path
     val tablePath = if (globPaths.nonEmpty) {
       DataSourceUtils.getTablePath(fs, globPaths.toArray)

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

@@ -26,9 +26,10 @@ import org.apache.hadoop.mapred.JobConf
 import org.apache.hudi.HoodieBaseRelation.{convertToAvroSchema, createHFileReader, generateUnsafeProjection, getPartitionPath}
 import org.apache.hudi.HoodieConversionUtils.toScalaOption
 import org.apache.hudi.avro.HoodieAvroUtils
-import org.apache.hudi.common.config.{HoodieMetadataConfig, SerializableConfiguration}
+import org.apache.hudi.common.config.HoodieMetadataConfig
 import org.apache.hudi.common.fs.FSUtils
-import org.apache.hudi.common.model.{HoodieFileFormat, HoodieRecord}
+import org.apache.hudi.common.fs.FSUtils.getRelativePartitionPath
+import org.apache.hudi.common.model.{FileSlice, HoodieFileFormat, HoodieRecord}
 import org.apache.hudi.common.table.timeline.{HoodieInstant, HoodieTimeline}
 import org.apache.hudi.common.table.view.HoodieTableFileSystemView
 import org.apache.hudi.common.table.{HoodieTableConfig, HoodieTableMetaClient, TableSchemaResolver}
@@ -340,20 +341,51 @@ abstract class HoodieBaseRelation(val sqlContext: SQLContext,
    */
   protected def collectFileSplits(partitionFilters: Seq[Expression], dataFilters: Seq[Expression]): Seq[FileSplit]
 
-  protected def listLatestBaseFiles(globbedPaths: Seq[Path], partitionFilters: Seq[Expression], dataFilters: Seq[Expression]): Map[Path, Seq[FileStatus]] = {
-    val partitionDirs = if (globbedPaths.isEmpty) {
+  /**
+   * Construct HoodieTableFileSystemView based on globPaths if specified, otherwise use the table path.
+   * Will perform pruning if necessary
+   */
+  private def getHoodieFsView(globPaths: Seq[Path], partitionFilters: Seq[Expression], dataFilters: Seq[Expression]): HoodieTableFileSystemView = {
+    val partitionDirs = if (globPaths.isEmpty) {
       fileIndex.listFiles(partitionFilters, dataFilters)
     } else {
-      val inMemoryFileIndex = HoodieInMemoryFileIndex.create(sparkSession, globbedPaths)
+      val inMemoryFileIndex = HoodieInMemoryFileIndex.create(sparkSession, globPaths)
       inMemoryFileIndex.listFiles(partitionFilters, dataFilters)
     }
 
-    val fsView = new HoodieTableFileSystemView(metaClient, timeline, partitionDirs.flatMap(_.files).toArray)
+    new HoodieTableFileSystemView(metaClient, timeline, partitionDirs.flatMap(_.files).toArray)
+  }
+
+  /**
+   * Get all latest base files with partition paths, if globPaths is empty, will listing files
+   * under the table path.
+   */
+  protected def listLatestBaseFiles(globPaths: Seq[Path], partitionFilters: Seq[Expression], dataFilters: Seq[Expression]): Map[Path, Seq[FileStatus]] = {
+    val fsView = getHoodieFsView(globPaths, partitionFilters, dataFilters)
     val latestBaseFiles = fsView.getLatestBaseFiles.iterator().asScala.toList.map(_.getFileStatus)
 
     latestBaseFiles.groupBy(getPartitionPath)
   }
 
+  /**
+   * Get all fileSlices(contains base files and log files if exist) from globPaths if not empty,
+   * otherwise will use the table path to do the listing.
+   */
+  protected def listLatestFileSlices(globPaths: Seq[Path], partitionFilters: Seq[Expression], dataFilters: Seq[Expression]): Seq[FileSlice] = {
+    val fsView = getHoodieFsView(globPaths, partitionFilters, dataFilters)
+    val partitionPaths = fsView.getPartitionPaths.asScala
+
+    if (partitionPaths.isEmpty || latestInstant.isEmpty) {
+      Seq()
+    } else {
+      val queryTimestamp = this.queryTimestamp.get
+      partitionPaths.flatMap { partitionPath =>
+        val relativePath = getRelativePartitionPath(new Path(basePath), partitionPath)
+        fsView.getLatestMergedFileSlicesBeforeOrOn(relativePath, queryTimestamp).iterator().asScala.toSeq
+      }
+    }
+  }
+
   protected def convertToExpressions(filters: Array[Filter]): Array[Expression] = {
     val catalystExpressions = HoodieSparkUtils.convertToCatalystExpressions(filters, tableStructSchema)
 

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

@@ -76,7 +76,7 @@ case class HoodieFileIndex(spark: SparkSession,
     metaClient = metaClient,
     schemaSpec = schemaSpec,
     configProperties = getConfigProperties(spark, options),
-    queryPaths = Seq(HoodieFileIndex.getQueryPath(options)),
+    queryPaths = HoodieFileIndex.getQueryPaths(options),
     specifiedQueryInstant = options.get(DataSourceReadOptions.TIME_TRAVEL_AS_OF_INSTANT.key).map(HoodieSqlCommonUtils.formatQueryInstant),
     fileStatusCache = fileStatusCache
   )
@@ -341,10 +341,15 @@ object HoodieFileIndex extends Logging {
     }
   }
 
-  private def getQueryPath(options: Map[String, String]) = {
-    new Path(options.get("path") match {
-      case Some(p) => p
-      case None => throw new IllegalArgumentException("'path' option required")
-    })
+  private def getQueryPaths(options: Map[String, String]): Seq[Path] = {
+    options.get("path") match {
+      case Some(p) => Seq(new Path(p))
+      case None =>
+        options.getOrElse("glob.paths",
+          throw new IllegalArgumentException("'path' or 'glob paths' option required"))
+          .split(",")
+          .map(new Path(_))
+          .toSeq
+    }
   }
 }

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

@@ -104,24 +104,8 @@ class MergeOnReadSnapshotRelation(sqlContext: SQLContext,
       val fileSlices = fileIndex.listFileSlices(convertedPartitionFilters)
       buildSplits(fileSlices.values.flatten.toSeq)
     } else {
-      val inMemoryFileIndex = HoodieInMemoryFileIndex.create(sparkSession, globPaths)
-      val partitionDirs = inMemoryFileIndex.listFiles(partitionFilters, dataFilters)
-
-      val fsView = new HoodieTableFileSystemView(metaClient, timeline, partitionDirs.flatMap(_.files).toArray)
-      val partitionPaths = fsView.getPartitionPaths.asScala
-
-      if (partitionPaths.isEmpty || latestInstant.isEmpty) {
-        // If this an empty table OR it has no completed commits yet, return
-        List.empty[HoodieMergeOnReadFileSplit]
-      } else {
-        val queryTimestamp = this.queryTimestamp.get
-
-        val fileSlices = partitionPaths.flatMap { partitionPath =>
-          val relativePath = getRelativePartitionPath(new Path(basePath), partitionPath)
-          fsView.getLatestMergedFileSlicesBeforeOrOn(relativePath, queryTimestamp).iterator().asScala.toSeq
-        }
-        buildSplits(fileSlices)
-      }
+      val fileSlices = listLatestFileSlices(globPaths, partitionFilters, dataFilters)
+      buildSplits(fileSlices)
     }
   }
 

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/functional/TestCOWDataSource.scala

@@ -17,7 +17,7 @@
 
 package org.apache.hudi.functional
 
-import org.apache.hadoop.fs.FileSystem
+import org.apache.hadoop.fs.{FileSystem, Path}
 import org.apache.hudi.HoodieConversionUtils.toJavaOption
 import org.apache.hudi.common.config.HoodieMetadataConfig
 import org.apache.hudi.common.model.HoodieRecord
@@ -296,6 +296,39 @@ class TestCOWDataSource extends HoodieClientTestBase {
     assertEquals("replacecommit", commits(1))
   }
 
+  @Test
+  def testReadPathsOnCopyOnWriteTable(): Unit = {
+    val records1 = dataGen.generateInsertsContainsAllPartitions("001", 20)
+    val inputDF1 = spark.read.json(spark.sparkContext.parallelize(recordsToStrings(records1), 2))
+    inputDF1.write.format("org.apache.hudi")
+      .options(commonOpts)
+      .option(DataSourceWriteOptions.OPERATION.key, DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL)
+      .mode(SaveMode.Append)
+      .save(basePath)
+
+    val baseFilePath = fs.listStatus(new Path(basePath, dataGen.getPartitionPaths.head))
+      .filter(!_.getPath.getName.contains("hoodie_partition_metadata"))
+      .filter(_.getPath.getName.endsWith("parquet"))
+      .map(_.getPath.toString)
+      .mkString(",")
+
+    val records2 = dataGen.generateInsertsContainsAllPartitions("002", 20)
+    val inputDF2 = spark.read.json(spark.sparkContext.parallelize(recordsToStrings(records2), 2))
+    inputDF2.write.format("org.apache.hudi")
+      .options(commonOpts)
+      // Use bulk insert here to make sure the files have different file groups.
+      .option(DataSourceWriteOptions.OPERATION.key, DataSourceWriteOptions.BULK_INSERT_OPERATION_OPT_VAL)
+      .mode(SaveMode.Append)
+      .save(basePath)
+
+    val hudiReadPathDF = spark.read.format("org.apache.hudi")
+      .option(DataSourceReadOptions.READ_PATHS.key, baseFilePath)
+      .load()
+
+    val expectedCount = records1.asScala.count(record => record.getPartitionPath == dataGen.getPartitionPaths.head)
+    assertEquals(expectedCount, hudiReadPathDF.count())
+  }
+
   @Test def testOverWriteTableModeUseReplaceAction(): Unit = {
     val records1 = recordsToStrings(dataGen.generateInserts("001", 5)).toList
     val inputDF1 = spark.read.json(spark.sparkContext.parallelize(records1, 2))

hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/hudi/functional/TestMORDataSource.scala

@@ -704,6 +704,96 @@ class TestMORDataSource extends HoodieClientTestBase with SparkDatasetMixin {
     assertEquals(partitionCounts("2021/03/03"), count7)
   }
 
+  @Test
+  def testReadPathsForMergeOnReadTable(): Unit = {
+    // Paths only baseFiles
+    val records1 = dataGen.generateInserts("001", 100)
+    val inputDF1 = spark.read.json(spark.sparkContext.parallelize(recordsToStrings(records1), 2))
+    inputDF1.write.format("org.apache.hudi")
+      .options(commonOpts)
+      .option("hoodie.compact.inline", "false") // else fails due to compaction & deltacommit instant times being same
+      .option(DataSourceWriteOptions.OPERATION.key, DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL)
+      .option(DataSourceWriteOptions.TABLE_TYPE.key, DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL)
+      .mode(SaveMode.Overwrite)
+      .save(basePath)
+    assertTrue(HoodieDataSourceHelpers.hasNewCommits(fs, basePath, "000"))
+    val baseFilePath = fs.listStatus(new Path(basePath, dataGen.getPartitionPaths.head))
+      .filter(_.getPath.getName.endsWith("parquet"))
+      .map(_.getPath.toString)
+      .mkString(",")
+    val records2 = dataGen.generateUniqueDeleteRecords("002", 100)
+    val inputDF2: Dataset[Row] = spark.read.json(spark.sparkContext.parallelize(recordsToStrings(records2), 2))
+    inputDF2.write.format("org.apache.hudi")
+      .options(commonOpts)
+      .mode(SaveMode.Append)
+      .save(basePath)
+    val hudiReadPathDF1 = spark.read.format("org.apache.hudi")
+      .option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL)
+      .option(DataSourceReadOptions.READ_PATHS.key, baseFilePath)
+      .load()
+
+    val expectedCount1 = records1.asScala.count(record => record.getPartitionPath == dataGen.getPartitionPaths.head)
+    assertEquals(expectedCount1, hudiReadPathDF1.count())
+
+    // Paths Contains both baseFile and log files
+    val logFilePath = fs.listStatus(new Path(basePath, dataGen.getPartitionPaths.head))
+      .filter(_.getPath.getName.contains("log"))
+      .map(_.getPath.toString)
+      .mkString(",")
+
+    val readPaths = baseFilePath + "," + logFilePath
+    val hudiReadPathDF2 = spark.read.format("org.apache.hudi")
+      .option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL)
+      .option(DataSourceReadOptions.READ_PATHS.key, readPaths)
+      .load()
+
+    assertEquals(0, hudiReadPathDF2.count())
+  }
+
+  @Test
+  def testReadPathsForOnlyLogFiles(): Unit = {
+    initMetaClient(HoodieTableType.MERGE_ON_READ)
+    val records1 = dataGen.generateInsertsContainsAllPartitions("000", 20)
+    val inputDF1 = spark.read.json(spark.sparkContext.parallelize(recordsToStrings(records1), 2))
+    inputDF1.write.format("hudi")
+      .options(commonOpts)
+      .option(DataSourceWriteOptions.OPERATION.key, DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL)
+      .option(DataSourceWriteOptions.TABLE_TYPE.key, DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL)
+      // Use InMemoryIndex to generate log only mor table.
+      .option(HoodieIndexConfig.INDEX_TYPE.key, IndexType.INMEMORY.toString)
+      .mode(SaveMode.Overwrite)
+      .save(basePath)
+    // There should no base file in the file list.
+    assertTrue(DataSourceTestUtils.isLogFileOnly(basePath))
+
+    val logFilePath = fs.listStatus(new Path(basePath, dataGen.getPartitionPaths.head))
+      .filter(_.getPath.getName.contains("log"))
+      .map(_.getPath.toString)
+      .mkString(",")
+
+    val records2 = dataGen.generateInsertsContainsAllPartitions("000", 20)
+    val inputDF2 = spark.read.json(spark.sparkContext.parallelize(recordsToStrings(records2), 2))
+    inputDF2.write.format("hudi")
+      .options(commonOpts)
+      .option(DataSourceWriteOptions.OPERATION.key, DataSourceWriteOptions.INSERT_OPERATION_OPT_VAL)
+      .option(DataSourceWriteOptions.TABLE_TYPE.key, DataSourceWriteOptions.MOR_TABLE_TYPE_OPT_VAL)
+      // Use InMemoryIndex to generate log only mor table.
+      .option(HoodieIndexConfig.INDEX_TYPE.key, IndexType.INMEMORY.toString)
+      .mode(SaveMode.Append)
+      .save(basePath)
+    // There should no base file in the file list.
+    assertTrue(DataSourceTestUtils.isLogFileOnly(basePath))
+
+    val expectedCount1 = records1.asScala.count(record => record.getPartitionPath == dataGen.getPartitionPaths.head)
+
+    val hudiReadPathDF = spark.read.format("org.apache.hudi")
+      .option(DataSourceReadOptions.QUERY_TYPE.key, DataSourceReadOptions.QUERY_TYPE_SNAPSHOT_OPT_VAL)
+      .option(DataSourceReadOptions.READ_PATHS.key, logFilePath)
+      .load()
+
+    assertEquals(expectedCount1, hudiReadPathDF.count())
+  }
+
   @Test
   def testReadLogOnlyMergeOnReadTable(): Unit = {
     initMetaClient(HoodieTableType.MERGE_ON_READ)