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

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

@@ -18,7 +18,7 @@ package org.apache.gluten.component
 
 import org.apache.gluten.backendsapi.velox.VeloxBackend
 import org.apache.gluten.config.GlutenConfig
-import org.apache.gluten.extension.{DeltaPostTransformRules, OffloadDeltaFilter, OffloadDeltaProject, OffloadDeltaScan}
+import org.apache.gluten.extension.{DeltaPostTransformRules, OffloadDeltaFilter, OffloadDeltaProject, OffloadDeltaScan, PreprocessDeltaScanWithDeletionVectors}
 import org.apache.gluten.extension.columnar.heuristic.HeuristicTransform
 import org.apache.gluten.extension.columnar.validator.Validators
 import org.apache.gluten.extension.injector.Injector
@@ -36,6 +36,7 @@ class VeloxDeltaComponent extends Component {
 
   override def injectRules(injector: Injector): Unit = {
     val legacy = injector.gluten.legacy
+    injector.spark.injectOptimizerRule(spark => new PreprocessDeltaScanWithDeletionVectors(spark))
     legacy.injectTransform {
       c =>
         val offload = Seq(OffloadDeltaScan(), OffloadDeltaProject(), OffloadDeltaFilter())

backends-velox/src-delta23/main/scala/org/apache/gluten/extension/PreprocessDeltaScanWithDeletionVectors.scala

@@ -0,0 +1,30 @@
+/*
+ * 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
+
+/**
+ * Delta versions before 3.3 do not expose the DV scan preprocessing API used by the native handoff.
+ */
+class PreprocessDeltaScanWithDeletionVectors(protected val spark: SparkSession)
+  extends Rule[LogicalPlan] {
+
+  override def apply(plan: LogicalPlan): LogicalPlan = plan
+}

backends-velox/src-delta24/main/scala/org/apache/gluten/extension/PreprocessDeltaScanWithDeletionVectors.scala

@@ -0,0 +1,30 @@
+/*
+ * 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
+
+/**
+ * Delta versions before 3.3 do not expose the DV scan preprocessing API used by the native handoff.
+ */
+class PreprocessDeltaScanWithDeletionVectors(protected val spark: SparkSession)
+  extends Rule[LogicalPlan] {
+
+  override def apply(plan: LogicalPlan): LogicalPlan = plan
+}

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.GlutenPreprocessTableWithDVs
+
+/**
+ * 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 GlutenPreprocessTableWithDVs {
+
+  override def apply(plan: LogicalPlan): LogicalPlan = preprocessTablesWithDVs(plan)
+}

backends-velox/src-delta33/main/scala/org/apache/spark/sql/delta/GlutenPreprocessTableWithDVs.scala

@@ -0,0 +1,235 @@
+/*
+ * 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.spark.sql.delta
+
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.expressions.{AttributeReference, EqualTo, Literal}
+import org.apache.spark.sql.catalyst.expressions.Literal.TrueLiteral
+import org.apache.spark.sql.catalyst.plans.logical.{Filter, LogicalPlan, Project}
+import org.apache.spark.sql.delta.DeltaParquetFileFormat._
+import org.apache.spark.sql.delta.commands.DeletionVectorUtils.deletionVectorsReadable
+import org.apache.spark.sql.delta.files.{TahoeFileIndex, TahoeLogFileIndex}
+import org.apache.spark.sql.delta.sources.DeltaSQLConf
+import org.apache.spark.sql.execution.datasources.FileFormat.METADATA_NAME
+import org.apache.spark.sql.execution.datasources.HadoopFsRelation
+import org.apache.spark.sql.execution.datasources.LogicalRelation
+import org.apache.spark.sql.execution.datasources.parquet.ParquetFileFormat
+import org.apache.spark.sql.types.StructType
+
+/**
+ * Rewrites Delta scans over DV-enabled tables to request the backend-specific skip-row metadata
+ * column only when the snapshot actually contains DVs.
+ *
+ * This is a Gluten-local adaptation of Delta's `PreprocessTableWithDVs` that additionally handles
+ * `GlutenDeltaParquetFileFormat` relations. It lives in this package for access to Delta's
+ * package-private APIs, but deliberately uses Gluten-prefixed names: the vanilla
+ * `PreprocessTableWithDVs`/`ScanWithDeletionVectors` classfiles ship inside the delta-spark jar and
+ * are linked into Delta's own `PreprocessTableWithDVsStrategy`, so reusing those names would shadow
+ * them with classpath-order-dependent behavior.
+ */
+trait GlutenPreprocessTableWithDVs extends SubqueryTransformerHelper {
+  def preprocessTablesWithDVs(plan: LogicalPlan): LogicalPlan = {
+    plan.transformDown { case GlutenScanWithDeletionVectors(dvScan) => dvScan }
+  }
+}
+
+object GlutenScanWithDeletionVectors {
+  def unapply(a: LogicalRelation): Option[LogicalPlan] = a match {
+    case scan @ LogicalRelation(
+          relation @ HadoopFsRelation(
+            index: TahoeFileIndex,
+            _,
+            _,
+            _,
+            format: DeltaParquetFileFormat,
+            _),
+          _,
+          _,
+          _) =>
+      dvEnabledScanFor(scan, relation, format, index)
+    case scan @ LogicalRelation(
+          relation @ HadoopFsRelation(
+            index: TahoeFileIndex,
+            _,
+            _,
+            _,
+            format: GlutenDeltaParquetFileFormat,
+            _),
+          _,
+          _,
+          _) =>
+      dvEnabledScanFor(scan, relation, format, index)
+    case _ => None
+  }
+
+  def dvEnabledScanFor(
+      scan: LogicalRelation,
+      hadoopRelation: HadoopFsRelation,
+      fileFormat: DeltaParquetFileFormat,
+      index: TahoeFileIndex): Option[LogicalPlan] = {
+    if (!deletionVectorsReadable(index.protocol, index.metadata)) {
+      return None
+    }
+
+    if (index.isInstanceOf[TahoeLogFileIndex]) {
+      return None
+    }
+
+    if (fileFormat.hasTablePath) {
+      return None
+    }
+
+    val filesWithDVs = index
+      .matchingFiles(partitionFilters = Seq(TrueLiteral), dataFilters = Seq(TrueLiteral))
+      .filter(_.deletionVector != null)
+    if (filesWithDVs.isEmpty) {
+      return None
+    }
+
+    val planOutput = scan.output
+    val spark = SparkSession.getActiveSession.get
+    val newScan = createScanWithSkipRowColumn(spark, scan, fileFormat, index, hadoopRelation)
+    val rowIndexFilter = createRowIndexFilterNode(newScan)
+    Some(Project(planOutput, rowIndexFilter))
+  }
+
+  def dvEnabledScanFor(
+      scan: LogicalRelation,
+      hadoopRelation: HadoopFsRelation,
+      fileFormat: GlutenDeltaParquetFileFormat,
+      index: TahoeFileIndex): Option[LogicalPlan] = {
+    if (!deletionVectorsReadable(index.protocol, index.metadata)) {
+      return None
+    }
+
+    if (index.isInstanceOf[TahoeLogFileIndex]) {
+      return None
+    }
+
+    if (fileFormat.hasTablePath) {
+      return None
+    }
+
+    val filesWithDVs = index
+      .matchingFiles(partitionFilters = Seq(TrueLiteral), dataFilters = Seq(TrueLiteral))
+      .filter(_.deletionVector != null)
+    if (filesWithDVs.isEmpty) {
+      return None
+    }
+
+    val planOutput = scan.output
+    val spark = SparkSession.getActiveSession.get
+    val newScan = createScanWithSkipRowColumn(spark, scan, fileFormat, index, hadoopRelation)
+    val rowIndexFilter = createRowIndexFilterNode(newScan)
+    Some(Project(planOutput, rowIndexFilter))
+  }
+
+  private def addRowIndexIfMissing(attribute: AttributeReference): AttributeReference = {
+    require(attribute.name == METADATA_NAME)
+
+    val dataType = attribute.dataType.asInstanceOf[StructType]
+    if (dataType.fieldNames.contains(ParquetFileFormat.ROW_INDEX)) {
+      return attribute
+    }
+
+    val newDatatype = dataType.add(ParquetFileFormat.ROW_INDEX_FIELD)
+    attribute.copy(dataType = newDatatype)(
+      exprId = attribute.exprId,
+      qualifier = attribute.qualifier)
+  }
+
+  private def createScanWithSkipRowColumn(
+      spark: SparkSession,
+      inputScan: LogicalRelation,
+      fileFormat: DeltaParquetFileFormat,
+      tahoeFileIndex: TahoeFileIndex,
+      hadoopFsRelation: HadoopFsRelation): LogicalRelation = {
+    val useMetadataRowIndex =
+      spark.sessionState.conf.getConf(DeltaSQLConf.DELETION_VECTORS_USE_METADATA_ROW_INDEX)
+
+    val skipRowField = IS_ROW_DELETED_STRUCT_FIELD
+    val scanOutputWithMetadata = if (useMetadataRowIndex) {
+      if (inputScan.output.map(_.name).contains(METADATA_NAME)) {
+        inputScan.output.collect {
+          case a: AttributeReference if a.name == METADATA_NAME => addRowIndexIfMissing(a)
+          case o => o
+        }
+      } else {
+        inputScan.output :+ fileFormat.createFileMetadataCol()
+      }
+    } else {
+      inputScan.output
+    }
+
+    val newScanOutput =
+      scanOutputWithMetadata :+ AttributeReference(skipRowField.name, skipRowField.dataType)()
+    val newDataSchema = hadoopFsRelation.dataSchema.add(skipRowField)
+    val newFileFormat = fileFormat.copyWithDVInfo(
+      tablePath = tahoeFileIndex.path.toString,
+      optimizationsEnabled = useMetadataRowIndex)
+
+    val newRelation = hadoopFsRelation.copy(fileFormat = newFileFormat, dataSchema = newDataSchema)(
+      hadoopFsRelation.sparkSession)
+
+    inputScan.copy(relation = newRelation, output = newScanOutput)
+  }
+
+  private def createScanWithSkipRowColumn(
+      spark: SparkSession,
+      inputScan: LogicalRelation,
+      fileFormat: GlutenDeltaParquetFileFormat,
+      tahoeFileIndex: TahoeFileIndex,
+      hadoopFsRelation: HadoopFsRelation): LogicalRelation = {
+    val useMetadataRowIndex =
+      spark.sessionState.conf.getConf(DeltaSQLConf.DELETION_VECTORS_USE_METADATA_ROW_INDEX)
+
+    val skipRowField = GlutenDeltaParquetFileFormat.IS_ROW_DELETED_STRUCT_FIELD
+    val scanOutputWithMetadata = if (useMetadataRowIndex) {
+      if (inputScan.output.map(_.name).contains(METADATA_NAME)) {
+        inputScan.output.collect {
+          case a: AttributeReference if a.name == METADATA_NAME => addRowIndexIfMissing(a)
+          case o => o
+        }
+      } else {
+        inputScan.output :+ fileFormat.createFileMetadataCol()
+      }
+    } else {
+      inputScan.output
+    }
+
+    val newScanOutput =
+      scanOutputWithMetadata :+ AttributeReference(skipRowField.name, skipRowField.dataType)()
+    val newDataSchema = hadoopFsRelation.dataSchema.add(skipRowField)
+    val newFileFormat = fileFormat.copyWithDVInfo(
+      tablePath = tahoeFileIndex.path.toString,
+      optimizationsEnabled = useMetadataRowIndex)
+
+    val newRelation = hadoopFsRelation.copy(fileFormat = newFileFormat, dataSchema = newDataSchema)(
+      hadoopFsRelation.sparkSession)
+
+    inputScan.copy(relation = newRelation, output = newScanOutput)
+  }
+
+  private def createRowIndexFilterNode(newScan: LogicalRelation): Filter = {
+    val skipRowColumnRefs = newScan.output.filter(_.name == IS_ROW_DELETED_COLUMN_NAME)
+    require(
+      skipRowColumnRefs.size == 1,
+      s"Expected only one column with name=$IS_ROW_DELETED_COLUMN_NAME")
+    val skipRowColumnRef = skipRowColumnRefs.head
+    Filter(EqualTo(skipRowColumnRef, Literal(RowIndexFilter.KEEP_ROW_VALUE)), newScan)
+  }
+}