res-life
diff --git a/‎delta-lake/delta-spark400db173/src/main/scala/com/databricks/sql/transaction/tahoe/rapids/GpuLiquidOptimizeWriteIntoDeltaCommand.scala‎
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+/*
+ * Copyright (c) 2026, NVIDIA CORPORATION.
+ *
+ * Licensed 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 com.databricks.sql.transaction.tahoe.rapids
+
+import com.databricks.sql.io.skipping.liquid.ClusteredTableUtils
+import com.databricks.sql.transaction.tahoe.DeltaIdentityColumnStatsTracker
+import com.databricks.sql.transaction.tahoe.commands.WriteIntoDeltaCommand
+import com.databricks.sql.transaction.tahoe.stats.{DeltaJobStatisticsTracker, DeltaStatistics,
+  StatisticsOnLoadJobTracker}
+import com.nvidia.spark.rapids.{DataFromReplacementRule, DataWritingCommandMeta,
+  GpuDataWritingCommand, GpuMetric, GpuParquetFileFormat, NoopMetric, RapidsConf, RapidsMeta}
+import com.nvidia.spark.rapids.delta.{GpuDeltaJobStatisticsTracker, GpuStatisticsCollection,
+  RapidsDeltaUtils}
+
+import org.apache.spark.SparkContext
+import org.apache.spark.sql.SparkSession
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.expressions.{CreateNamedStruct, RuntimeReplaceable}
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.execution.SparkPlan
+import org.apache.spark.sql.execution.datasources.{BasicWriteJobStatsTracker,
+  WriteJobStatsTracker}
+import org.apache.spark.sql.rapids.{BasicColumnarWriteJobStatsTracker,
+  ColumnarWriteJobStatsTracker}
+import org.apache.spark.sql.rapids.shims.TrampolineConnectShims.{
+  SparkSession => ClassicSparkSession}
+import org.apache.spark.sql.types.{StructField, StructType}
+import org.apache.spark.sql.vectorized.ColumnarBatch
+import org.apache.spark.util.SerializableConfiguration
+
+/** Limits the generic DBR V1 write rule to the native liquid OPTIMIZE call stack. */
+object GpuLiquidOptimizeWriteContext {
+  private val activeKey = "spark.rapids.sql.delta.liquidOptimizeWrite.active"
+
+  def isActive: Boolean = SparkContext.getActive
+    .exists(_.getLocalProperty(activeKey) == "true")
+
+  def withOptimize[T](spark: SparkSession)(body: => T): T = {
+    // DBR's SparkThreadLocalCapturingHelper captures Spark local properties when each native
+    // OPTIMIZE batch is submitted, installs them in its shared worker pool, and restores the
+    // worker's prior properties in finally.
+    val sparkContext = spark.sparkContext
+    val previous = sparkContext.getLocalProperty(activeKey)
+    sparkContext.setLocalProperty(activeKey, "true")
+    try {
+      body
+    } finally {
+      sparkContext.setLocalProperty(activeKey, previous)
+    }
+  }
+}
+
+/** Metadata for the DBR write command used by the native liquid OPTIMIZE framework. */
+class GpuLiquidOptimizeWriteIntoDeltaCommandMeta(
+    cmd: WriteIntoDeltaCommand,
+    conf: RapidsConf,
+    parent: Option[RapidsMeta[_, _, _]],
+    rule: DataFromReplacementRule)
+    extends DataWritingCommandMeta[WriteIntoDeltaCommand](cmd, conf, parent, rule) {
+
+  override protected def tagSelfForGpuInternal(): Unit = {
+    if (!GpuLiquidOptimizeWriteContext.isActive ||
+        !ClusteredTableUtils.isSupported(cmd.protocol)) {
+      willNotWorkOnGpu(
+        "DBR WriteIntoDeltaCommand GPU support is limited to native liquid OPTIMIZE")
+    }
+    if (!conf.isDeltaWriteEnabled) {
+      willNotWorkOnGpu("Delta Lake output acceleration has been disabled. To enable set " +
+        s"${RapidsConf.ENABLE_DELTA_WRITE} to true")
+    }
+    RapidsDeltaUtils.tagForDeltaWrite(
+      this, cmd.query.schema, Some(cmd.deltaLog), cmd.options, SparkSession.active)
+    cmd.statsTrackers.foreach {
+      case _: DeltaIdentityColumnStatsTracker =>
+        willNotWorkOnGpu("DBR identity-column write statistics are not supported by the " +
+          "GPU WriteIntoDeltaCommand")
+      case _: StatisticsOnLoadJobTracker =>
+        willNotWorkOnGpu("DBR statistics-on-load are not supported by the GPU " +
+          "WriteIntoDeltaCommand")
+      case _: BasicWriteJobStatsTracker =>
+      case delta: DeltaJobStatisticsTracker =>
+        GpuLiquidOptimizeWriteIntoDeltaCommand.extractStatsCollectionSchema(delta) match {
+          case Left(reason) => willNotWorkOnGpu(reason)
+          case Right(_) =>
+        }
+      case tracker =>
+        willNotWorkOnGpu(s"DBR write statistics tracker ${tracker.getClass.getName} is not " +
+          "supported by the GPU WriteIntoDeltaCommand")
+    }
+  }
+
+  override def convertToGpu(): GpuDataWritingCommand = GpuLiquidOptimizeWriteIntoDeltaCommand(
+    cmd,
+    conf.stableSort,
+    conf.concurrentWriterPartitionFlushSize,
+    conf.outputDebugDumpPrefix)
+}
+
+object GpuLiquidOptimizeWriteIntoDeltaCommand {
+  def extractStatsCollectionSchema(
+      tracker: DeltaJobStatisticsTracker): Either[String, StructType] = {
+    val dataSchema = StructType(tracker.dataCols.map { attr =>
+      StructField(attr.name, attr.dataType, attr.nullable, attr.metadata)
+    })
+    val nullCountSchema = tracker.statsColExpr.collect {
+      case struct: CreateNamedStruct => struct.dataType
+    }.collectFirst {
+      case schema: StructType if schema.fieldNames.contains(DeltaStatistics.NULL_COUNT) =>
+        schema(DeltaStatistics.NULL_COUNT).dataType match {
+          case nullCountSchema: StructType => Right(nullCountSchema)
+          case other => Left(s"DBR Delta statistics ${DeltaStatistics.NULL_COUNT} field has " +
+            s"unsupported type $other")
+        }
+    }.getOrElse(Left(
+      s"DBR Delta statistics expression has no ${DeltaStatistics.NULL_COUNT} struct"))
+    nullCountSchema.flatMap(projectStatsCollectionSchema(dataSchema, _))
+  }
+
+  private def projectStatsCollectionSchema(
+      dataSchema: StructType,
+      statsShape: StructType,
+      parentPath: Seq[String] = Nil): Either[String, StructType] = {
+    statsShape.fields.foldLeft[Either[String, Seq[StructField]]](Right(Seq.empty)) {
+      case (result, statsField) =>
+        result.flatMap { projectedFields =>
+          val fieldPath = parentPath :+ statsField.name
+          dataSchema.fields.find(_.name == statsField.name) match {
+            case None =>
+              Left(s"DBR Delta statistics field ${fieldPath.mkString(".")} is not present " +
+                "in the write data schema")
+            case Some(dataField) =>
+              (dataField.dataType, statsField.dataType) match {
+                case (dataStruct: StructType, statsStruct: StructType) =>
+                  projectStatsCollectionSchema(dataStruct, statsStruct, fieldPath)
+                    .map(projected => projectedFields :+ dataField.copy(dataType = projected))
+                case (_: StructType, _) | (_, _: StructType) =>
+                  Left(s"DBR Delta statistics field ${fieldPath.mkString(".")} has a " +
+                    "different nested structure than the write data schema")
+                case _ =>
+                  // nullCount contains Long leaves. Keep only its shape and ordering while using
+                  // the original data types required for min/max collection.
+                  Right(projectedFields :+ dataField)
+              }
+          }
+        }
+    }.map(StructType(_))
+  }
+}
+
+/**
+ * GPU file-writing equivalent of DBR's [[WriteIntoDeltaCommand]].
+ *
+ * The command deliberately reuses the native output specification and commit protocol. The
+ * enclosing DBR transaction therefore remains responsible for AddFile creation, liquid domain
+ * metadata, and the final commit; only FileFormatWriter's row writer is replaced here.
+ */
+case class GpuLiquidOptimizeWriteIntoDeltaCommand(
+    cpuCmd: WriteIntoDeltaCommand,
+    useStableSort: Boolean,
+    concurrentWriterPartitionFlushSize: Long,
+    baseDebugOutputPath: Option[String])
+    extends GpuDataWritingCommand {
+
+  override def query: LogicalPlan = cpuCmd.query
+
+  override def outputColumnNames: Seq[String] = cpuCmd.outputColumnNames
+
+  override def requireSingleBatch: Boolean = false
+
+  override def runColumnar(
+      sparkSession: ClassicSparkSession,
+      child: SparkPlan): Seq[ColumnarBatch] = {
+    val outputColumns = cpuCmd.outputSpec.outputColumns
+    val partitionColumns = cpuCmd.partitionColExprIds.map { exprId =>
+      outputColumns.find(_.exprId == exprId).get
+    }
+    val convertedTrackers = cpuCmd.statsTrackers.map(convertTracker)
+
+    GpuDeltaFileFormatWriter.write(
+      sparkSession = sparkSession,
+      plan = child,
+      fileFormat = new GpuParquetFileFormat,
+      committer = cpuCmd.committer,
+      outputSpec = cpuCmd.outputSpec,
+      hadoopConf = cpuCmd.hadoopConf,
+      partitionColumns = partitionColumns,
+      bucketSpec = cpuCmd.bucketSpec,
+      statsTrackers = convertedTrackers.map(_.gpu) :+
+        gpuWriteJobStatsTracker(cpuCmd.hadoopConf),
+      options = cpuCmd.options,
+      useStableSort = useStableSort,
+      concurrentWriterPartitionFlushSize = concurrentWriterPartitionFlushSize,
+      baseDebugOutputPath = baseDebugOutputPath)
+    convertedTrackers.foreach(_.copyResultToCpu())
+    Seq.empty
+  }
+
+  private case class ConvertedTracker(
+      gpu: ColumnarWriteJobStatsTracker,
+      copyResultToCpu: () => Unit)
+
+  private def convertTracker(tracker: WriteJobStatsTracker): ConvertedTracker = tracker match {
+    case identity: DeltaIdentityColumnStatsTracker =>
+      throw new IllegalStateException(
+        s"Unsupported identity-column statistics tracker ${identity.getClass.getName}")
+    case statsOnLoad: StatisticsOnLoadJobTracker =>
+      throw new IllegalStateException(
+        s"Unsupported statistics-on-load tracker ${statsOnLoad.getClass.getName}")
+    case basic: BasicWriteJobStatsTracker =>
+      val gpu = new BasicColumnarWriteJobStatsTracker(
+        new SerializableConfiguration(cpuCmd.hadoopConf),
+        GpuMetric.wrap(basic.driverSideMetrics),
+        NoopMetric)
+      ConvertedTracker(gpu, () => ())
+    case delta: DeltaJobStatisticsTracker =>
+      val dataSchema = StructType(delta.dataCols.map { attr =>
+        StructField(attr.name, attr.dataType, attr.nullable, attr.metadata)
+      })
+      val statsSchema = GpuLiquidOptimizeWriteIntoDeltaCommand.extractStatsCollectionSchema(delta)
+        .fold(reason => throw new IllegalStateException(reason), identity)
+      val explodedDataSchema = GpuStatisticsCollection.explode(dataSchema).toMap
+      val statsColExpr = delta.statsColExpr.transform {
+        case runtime: RuntimeReplaceable => runtime.replacement
+      }
+      val batchStatsToRow = (batch: ColumnarBatch, row: InternalRow) => {
+        GpuStatisticsCollection.batchStatsToRow(
+          statsSchema, explodedDataSchema, batch, row)
+      }
+      val gpu = new GpuDeltaJobStatisticsTracker(
+        delta.dataCols, statsColExpr, batchStatsToRow)
+      ConvertedTracker(gpu, () => delta.recordedStats = gpu.recordedStats)
+    case other =>
+      throw new IllegalStateException(s"Unsupported write statistics tracker " +
+        other.getClass.getName)
+  }
+}