[VL][Delta] Add JVM Delta DV scan handoff

backends-velox/src-delta/main/scala/org/apache/gluten/component/VeloxDeltaComponent.scala

@@ -23,9 +23,15 @@ import org.apache.gluten.extension.columnar.heuristic.HeuristicTransform
 import org.apache.gluten.extension.columnar.validator.Validators
 import org.apache.gluten.extension.injector.Injector
 
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.catalyst.rules.Rule
 import org.apache.spark.util.SparkReflectionUtil
 
 class VeloxDeltaComponent extends Component {
+  private val deltaDvPreprocessRuleClassName =
+    "org.apache.gluten.extension.PreprocessDeltaScanWithDeletionVectors"
+
   override def name(): String = "velox-delta"
 
   override def dependencies(): Seq[Class[_ <: Component]] = classOf[VeloxBackend] :: Nil
@@ -36,6 +42,7 @@ class VeloxDeltaComponent extends Component {
 
   override def injectRules(injector: Injector): Unit = {
     val legacy = injector.gluten.legacy
+    injector.spark.injectOptimizerRule(deltaDvPreprocessRule)
     legacy.injectTransform {
       c =>
         val offload = Seq(OffloadDeltaScan(), OffloadDeltaProject(), OffloadDeltaFilter())
@@ -46,4 +53,22 @@ class VeloxDeltaComponent extends Component {
     }
     DeltaPostTransformRules.rules.foreach(r => legacy.injectPostTransform(_ => r))
   }
+
+  private def deltaDvPreprocessRule(spark: SparkSession): Rule[LogicalPlan] = {
+    if (!SparkReflectionUtil.isClassPresent(deltaDvPreprocessRuleClassName)) {
+      return VeloxDeltaComponent.IdentityRule
+    }
+
+    Class
+      .forName(deltaDvPreprocessRuleClassName)
+      .getConstructor(classOf[SparkSession])
+      .newInstance(spark)
+      .asInstanceOf[Rule[LogicalPlan]]
+  }
+}
+
+object VeloxDeltaComponent {
+  private object IdentityRule extends Rule[LogicalPlan] {
+    override def apply(plan: LogicalPlan): LogicalPlan = plan
+  }
 }

backends-velox/src-delta33/main/scala/org/apache/gluten/delta/DeltaDeletionVectorScanInfo.scala

@@ -0,0 +1,208 @@
+/*
+ * 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.gluten.delta
+
+import org.apache.gluten.sql.shims.SparkShimLoader
+
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.delta.GlutenDeltaParquetFileFormat
+import org.apache.spark.sql.delta.actions.DeletionVectorDescriptor
+import org.apache.spark.sql.delta.deletionvectors.{RoaringBitmapArrayFormat, StoredBitmap}
+import org.apache.spark.sql.delta.storage.dv.HadoopFileSystemDVStore
+import org.apache.spark.sql.execution.datasources.PartitionedFile
+
+import org.apache.hadoop.fs.Path
+
+import java.util.{ArrayList => JArrayList}
+
+import scala.collection.JavaConverters._
+import scala.util.control.NonFatal
+
+object DeltaDeletionVectorScanInfo {
+  object RowIndexFilterType extends Enumeration {
+    type RowIndexFilterType = Value
+    val KEEP_ALL, IF_CONTAINED, IF_NOT_CONTAINED = Value
+  }
+
+  import RowIndexFilterType._
+
+  final case class DeletionVectorInfo(
+      rowIndexFilterType: RowIndexFilterType,
+      descriptor: Option[DeletionVectorDescriptor],
+      serializedDeletionVector: Array[Byte]) {
+    def hasDeletionVector: Boolean = descriptor.isDefined
+    def cardinality: Long = descriptor.map(_.cardinality).getOrElse(0L)
+  }
+
+  final case class PartitionFileScanInfo(
+      normalizedOtherMetadataColumns: Map[String, Object],
+      deletionVectorInfo: DeletionVectorInfo)
+
+  private val RowIndexFilterIdEncoded =
+    GlutenDeltaParquetFileFormat.FILE_ROW_INDEX_FILTER_ID_ENCODED
+  private val RowIndexFilterTypeKey =
+    GlutenDeltaParquetFileFormat.FILE_ROW_INDEX_FILTER_TYPE
+
+  def extract(
+      spark: SparkSession,
+      partitionColumnCount: Int,
+      file: PartitionedFile): PartitionFileScanInfo = {
+    val metadata = otherMetadataColumns(file)
+    val normalizedMetadata = metadata -- Seq(RowIndexFilterIdEncoded, RowIndexFilterTypeKey)
+    val dvInfo = extractDeletionVectorInfo(spark, partitionColumnCount, file, metadata)
+    PartitionFileScanInfo(normalizedMetadata, dvInfo)
+  }
+
+  def extractAll(
+      spark: SparkSession,
+      partitionColumnCount: Int,
+      files: Seq[PartitionedFile]): Seq[PartitionFileScanInfo] = {
+    files.map(extract(spark, partitionColumnCount, _))
+  }
+
+  def extractAllFromJava(
+      spark: SparkSession,
+      partitionColumnCount: Int,
+      files: java.util.List[PartitionedFile]): java.util.List[PartitionFileScanInfo] = {
+    new JArrayList(extractAll(spark, partitionColumnCount, files.asScala.toSeq).asJava)
+  }
+
+  private def extractDeletionVectorInfo(
+      spark: SparkSession,
+      partitionColumnCount: Int,
+      file: PartitionedFile,
+      metadata: Map[String, Object]): DeletionVectorInfo = {
+    val descriptorValue = metadata.get(RowIndexFilterIdEncoded)
+    val filterTypeValue = metadata.get(RowIndexFilterTypeKey)
+
+    (descriptorValue, filterTypeValue) match {
+      case (None, None) =>
+        DeletionVectorInfo(KEEP_ALL, None, Array.emptyByteArray)
+      case (Some(encodedDescriptor), Some(filterType)) =>
+        val descriptor = parseDescriptor(encodedDescriptor.toString)
+        val serializedPayload = serializePayload(spark, partitionColumnCount, file, descriptor)
+        DeletionVectorInfo(
+          parseRowIndexFilterType(filterType.toString),
+          Some(descriptor),
+          serializedPayload)
+      case _ =>
+        throw new IllegalStateException(
+          s"Both $RowIndexFilterIdEncoded and $RowIndexFilterTypeKey must either be present or absent")
+    }
+  }
+
+  private def otherMetadataColumns(file: PartitionedFile): Map[String, Object] = {
+    val otherMetadata =
+      SparkShimLoader.getSparkShims.getOtherConstantMetadataColumnValues(file)
+    if (otherMetadata == null) {
+      Map.empty
+    } else {
+      otherMetadata.asScala.toMap
+    }
+  }
+
+  private def parseDescriptor(encodedDescriptor: String): DeletionVectorDescriptor = {
+    try {
+      DeletionVectorDescriptor.deserializeFromBase64(encodedDescriptor)
+    } catch {
+      case NonFatal(e) =>
+        throw new IllegalArgumentException("Unable to parse Delta deletion vector descriptor", e)
+    }
+  }
+
+  private def parseRowIndexFilterType(filterType: String): RowIndexFilterType = {
+    filterType match {
+      case "IF_CONTAINED" => IF_CONTAINED
+      case "IF_NOT_CONTAINED" => IF_NOT_CONTAINED
+      case "KEEP_ALL" => KEEP_ALL
+      case unexpected =>
+        throw new IllegalStateException(s"Unexpected row index filter type: $unexpected")
+    }
+  }
+
+  private def serializePayload(
+      spark: SparkSession,
+      partitionColumnCount: Int,
+      file: PartitionedFile,
+      descriptor: DeletionVectorDescriptor): Array[Byte] = {
+    val tablePath = resolveTablePath(spark, partitionColumnCount, file)
+    if (tablePath == null) {
+      throw new IllegalStateException(
+        "Unable to resolve Delta table path while materializing deletion vector payload")
+    }
+    val dvStore = new HadoopFileSystemDVStore(spark.sessionState.newHadoopConf())
+    StoredBitmap
+      .create(descriptor, tablePath)
+      .load(dvStore)
+      .serializeAsByteArray(RoaringBitmapArrayFormat.Portable)
+  }
+
+  private def resolveTablePath(
+      spark: SparkSession,
+      partitionColumnCount: Int,
+      file: PartitionedFile): Path = {
+    val fileParent = new Path(unescapePathName(file.filePath.toString)).getParent
+    var tablePath = fileParent
+    for (_ <- 0 until partitionColumnCount) {
+      tablePath = tablePath.getParent
+    }
+    if (tablePath != null && isDeltaTablePath(spark, tablePath)) {
+      return tablePath
+    }
+
+    var candidate = fileParent
+    while (candidate != null && !isDeltaTablePath(spark, candidate)) {
+      candidate = candidate.getParent
+    }
+    if (candidate != null) candidate else tablePath
+  }
+
+  private def isDeltaTablePath(spark: SparkSession, tablePath: Path): Boolean = {
+    val deltaLogPath = new Path(tablePath, "_delta_log")
+    try {
+      deltaLogPath.getFileSystem(spark.sessionState.newHadoopConf()).exists(deltaLogPath)
+    } catch {
+      case NonFatal(_) => false
+    }
+  }
+
+  private def unescapePathName(path: String): String = {
+    if (path == null || path.indexOf('%') < 0) {
+      path
+    } else {
+      val builder = new StringBuilder(path.length)
+      var index = 0
+      while (index < path.length) {
+        if (path.charAt(index) == '%' && index + 2 < path.length) {
+          val high = Character.digit(path.charAt(index + 1), 16)
+          val low = Character.digit(path.charAt(index + 2), 16)
+          if (high >= 0 && low >= 0) {
+            builder.append(((high << 4) | low).toChar)
+            index += 3
+          } else {
+            builder.append(path.charAt(index))
+            index += 1
+          }
+        } else {
+          builder.append(path.charAt(index))
+          index += 1
+        }
+      }
+      builder.toString()
+    }
+  }
+}

backends-velox/src-delta33/main/scala/org/apache/gluten/extension/PreprocessDeltaScanWithDeletionVectors.scala

@@ -0,0 +1,36 @@
+/*
+ * 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.gluten.extension
+
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.delta.PreprocessTableWithDVs
+
+/**
+ * Delta 3.3 compatibility rule for DV scan metadata.
+ *
+ * Delta's own PrepareDeltaScan still runs normally. This Gluten-scoped rule only adds the
+ * backend-visible DV metadata columns after Delta has prepared the scan, so the physical Delta scan
+ * handoff can materialize the per-file DV payload for Velox without replacing Delta classes.
+ */
+class PreprocessDeltaScanWithDeletionVectors(protected val spark: SparkSession)
+  extends Rule[LogicalPlan]
+  with PreprocessTableWithDVs {
+
+  override def apply(plan: LogicalPlan): LogicalPlan = preprocessTablesWithDVs(plan)
+}