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/*
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package org.apache.spark.sql.catalyst.optimizer

import org.apache.spark.sql.SparkSession
import org.apache.spark.sql.catalyst.analysis.Resolver
import org.apache.spark.sql.catalyst.expressions.Ascending
import org.apache.spark.sql.catalyst.expressions.AttributeReference
import org.apache.spark.sql.catalyst.expressions.EqualNullSafe
import org.apache.spark.sql.catalyst.expressions.Expression
import org.apache.spark.sql.catalyst.expressions.Literal
import org.apache.spark.sql.catalyst.expressions.Not
import org.apache.spark.sql.catalyst.expressions.SortOrder
import org.apache.spark.sql.catalyst.expressions.SubqueryExpression
import org.apache.spark.sql.catalyst.plans.logical.DeleteFromTable
import org.apache.spark.sql.catalyst.plans.logical.Filter
import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
import org.apache.spark.sql.catalyst.plans.logical.Project
import org.apache.spark.sql.catalyst.plans.logical.RepartitionByExpression
import org.apache.spark.sql.catalyst.plans.logical.ReplaceData
import org.apache.spark.sql.catalyst.plans.logical.Sort
import org.apache.spark.sql.catalyst.rules.Rule
import org.apache.spark.sql.catalyst.utils.PlanUtils.isIcebergRelation
import org.apache.spark.sql.catalyst.utils.RewriteRowLevelOperationHelper
import org.apache.spark.sql.connector.iceberg.catalog.ExtendedSupportsDelete
import org.apache.spark.sql.execution.datasources.DataSourceStrategy
import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
import org.apache.spark.sql.internal.SQLConf
import org.apache.spark.sql.types.BooleanType

// TODO: should be part of early scan push down after the delete condition is optimized
case class RewriteDelete(spark: SparkSession) extends Rule[LogicalPlan] with RewriteRowLevelOperationHelper {

  import org.apache.spark.sql.execution.datasources.v2.ExtendedDataSourceV2Implicits._

  override def resolver: Resolver = spark.sessionState.conf.resolver

  override def apply(plan: LogicalPlan): LogicalPlan = plan resolveOperators {
    // don't rewrite deletes that can be answered by passing filters to deleteWhere in SupportsDelete
    case d @ DeleteFromTable(r: DataSourceV2Relation, Some(cond))
        if isMetadataDelete(r, cond) && isIcebergRelation(r) =>
      d

    // rewrite all operations that require reading the table to delete records
    case DeleteFromTable(r: DataSourceV2Relation, Some(cond)) if isIcebergRelation(r) =>
      // TODO: do a switch based on whether we get BatchWrite or DeltaBatchWrite
      val writeInfo = newWriteInfo(r.schema)
      val mergeBuilder = r.table.asMergeable.newMergeBuilder("delete", writeInfo)

      val matchingRowsPlanBuilder = scanRelation => Filter(cond, scanRelation)
      val scanPlan = buildDynamicFilterScanPlan(spark, r.table, r.output, mergeBuilder, cond, matchingRowsPlanBuilder)

      val remainingRowFilter = Not(EqualNullSafe(cond, Literal(true, BooleanType)))
      val remainingRowsPlan = Filter(remainingRowFilter, scanPlan)

      val mergeWrite = mergeBuilder.asWriteBuilder.buildForBatch()
      val writePlan = buildWritePlan(remainingRowsPlan, r.output)
      ReplaceData(r, mergeWrite, writePlan)
  }

  private def buildWritePlan(
      remainingRowsPlan: LogicalPlan,
      output: Seq[AttributeReference]): LogicalPlan = {

    val fileNameCol = findOutputAttr(remainingRowsPlan.output, FILE_NAME_COL)
    val rowPosCol = findOutputAttr(remainingRowsPlan.output, ROW_POS_COL)
    val order = Seq(SortOrder(fileNameCol, Ascending), SortOrder(rowPosCol, Ascending))
    val numShufflePartitions = SQLConf.get.numShufflePartitions
    val repartition = RepartitionByExpression(Seq(fileNameCol), remainingRowsPlan, numShufflePartitions)
    val sort = Sort(order, global = false, repartition)
    Project(output, sort)
  }

  private def isMetadataDelete(relation: DataSourceV2Relation, cond: Expression): Boolean = {
    relation.table match {
      case t: ExtendedSupportsDelete if !SubqueryExpression.hasSubquery(cond) =>
        val predicates = splitConjunctivePredicates(cond)
        val normalizedPredicates = DataSourceStrategy.normalizeExprs(predicates, relation.output)
        val dataSourceFilters = toDataSourceFilters(normalizedPredicates)
        val allPredicatesTranslated = normalizedPredicates.size == dataSourceFilters.length
        allPredicatesTranslated && t.canDeleteWhere(dataSourceFilters)
      case _ => false
    }
  }
}