rdblue commented on a change in pull request #1947:
URL: https://github.com/apache/iceberg/pull/1947#discussion_r545517400



##########
File path: 
spark3-extensions/src/main/scala/org/apache/spark/sql/catalyst/optimizer/RewriteMergeInto.scala
##########
@@ -0,0 +1,164 @@
+/*
+ * 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.catalyst.optimizer
+
+import java.util.UUID
+import org.apache.spark.internal.Logging
+import org.apache.spark.sql.{AnalysisException, SparkSession}
+import org.apache.spark.sql.catalyst.encoders.RowEncoder
+import org.apache.spark.sql.catalyst.expressions._
+import org.apache.spark.sql.catalyst.plans.{FullOuter, Inner, JoinType}
+import org.apache.spark.sql.catalyst.plans.logical._
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.connector.catalog.Table
+import org.apache.spark.sql.connector.iceberg.read.SupportsFileFilter
+import org.apache.spark.sql.connector.iceberg.write.MergeBuilder
+import org.apache.spark.sql.connector.write.{LogicalWriteInfo, 
LogicalWriteInfoImpl}
+import org.apache.spark.sql.execution.datasources.v2.{DataSourceV2Relation, 
DataSourceV2ScanRelation}
+import org.apache.spark.sql.functions._
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.types._
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+
+object RewriteMergeInto extends Rule[LogicalPlan]
+  with PredicateHelper
+  with Logging  {
+  val ROW_ID_COL = "_row_id_"
+  val FILE_NAME_COL = "_file_name_"
+  val SOURCE_ROW_PRESENT_COL = "_source_row_present_"
+  val TARGET_ROW_PRESENT_COL = "_target_row_present_"
+
+  import 
org.apache.spark.sql.execution.datasources.v2.ExtendedDataSourceV2Implicits._
+
+  override def apply(plan: LogicalPlan): LogicalPlan = {
+    plan resolveOperators {
+      // rewrite all operations that require reading the table to delete 
records
+      case MergeIntoTable(target: DataSourceV2Relation,
+                          source: LogicalPlan, cond, actions, notActions) =>
+        // Find the files in target that matches the JOIN condition from 
source.
+        val targetOutputCols = target.output
+        val newProjectCols = target.output ++ Seq(Alias(InputFileName(), 
FILE_NAME_COL)())
+        val newTargetTable = Project(newProjectCols, target)
+        val prunedTargetPlan = Join(source, newTargetTable, Inner, Some(cond), 
JoinHint.NONE)
+
+        val writeInfo = newWriteInfo(target.schema)
+        val mergeBuilder = target.table.asMergeable.newMergeBuilder("delete", 
writeInfo)
+        val targetTableScan =  buildScanPlan(target.table, target.output, 
mergeBuilder, prunedTargetPlan)
+        val sourceTableProj = source.output ++ Seq(Alias(lit(true).expr, 
SOURCE_ROW_PRESENT_COL)())
+        val targetTableProj = target.output ++ Seq(Alias(lit(true).expr, 
TARGET_ROW_PRESENT_COL)())
+        val newTargetTableScan = Project(targetTableProj, targetTableScan)
+        val newSourceTableScan = Project(sourceTableProj, source)
+        val joinPlan = Join(newSourceTableScan, newTargetTableScan, FullOuter, 
Some(cond), JoinHint.NONE)
+
+        val mergeIntoProcessor = new MergeIntoProcessor(
+          isSourceRowNotPresent = 
resolveExprs(Seq(col(SOURCE_ROW_PRESENT_COL).isNull.expr), joinPlan).head,
+          isTargetRowNotPresent = 
resolveExprs(Seq(col(TARGET_ROW_PRESENT_COL).isNull.expr), joinPlan).head,
+          matchedConditions = actions.map(resolveClauseCondition(_, joinPlan)),
+          matchedOutputs = actions.map(actionOutput(_, targetOutputCols, 
joinPlan)),
+          notMatchedConditions = notActions.map(resolveClauseCondition(_, 
joinPlan)),
+          notMatchedOutputs = notActions.map(actionOutput(_, targetOutputCols, 
joinPlan)),
+          targetOutput = resolveExprs(targetOutputCols :+ Literal(false), 
joinPlan),
+          joinedAttributes = joinPlan.output
+        )
+
+        val mergePlan = MergeInto(mergeIntoProcessor, target, joinPlan)
+        val batchWrite = mergeBuilder.asWriteBuilder.buildForBatch()
+        ReplaceData(target, batchWrite, mergePlan)
+    }
+  }
+
+  private def buildScanPlan(
+      table: Table,
+      output: Seq[AttributeReference],
+      mergeBuilder: MergeBuilder,
+      prunedTargetPlan: LogicalPlan): LogicalPlan = {
+
+    val scanBuilder = mergeBuilder.asScanBuilder
+    val scan = scanBuilder.build()
+    val scanRelation = DataSourceV2ScanRelation(table, scan, output)
+
+    scan match {
+      case _: SupportsFileFilter =>
+        val matchingFilePlan = buildFileFilterPlan(prunedTargetPlan)
+        val dynamicFileFilter = DynamicFileFilter(scanRelation, 
matchingFilePlan)
+        dynamicFileFilter
+      case _ =>
+        scanRelation
+    }
+  }
+
+  private def newWriteInfo(schema: StructType): LogicalWriteInfo = {
+    val uuid = UUID.randomUUID()
+    LogicalWriteInfoImpl(queryId = uuid.toString, schema, 
CaseInsensitiveStringMap.empty)
+  }
+
+  private def buildFileFilterPlan(prunedTargetPlan: LogicalPlan): LogicalPlan 
= {
+    val fileAttr = findOutputAttr(prunedTargetPlan, FILE_NAME_COL)
+    Aggregate(Seq(fileAttr), Seq(fileAttr), prunedTargetPlan)
+  }
+
+  private def findOutputAttr(plan: LogicalPlan, attrName: String): Attribute = 
{
+    val resolver = SQLConf.get.resolver
+    plan.output.find(attr => resolver(attr.name, attrName)).getOrElse {
+      throw new AnalysisException(s"Cannot find $attrName in ${plan.output}")
+    }
+  }
+
+  private def resolveExprs(exprs: Seq[Expression], plan: LogicalPlan): 
Seq[Expression] = {
+    val spark = SparkSession.active
+    exprs.map { expr => resolveExpressionInternal(spark, expr, plan) }
+  }
+
+  def getTargetOutputCols(target: DataSourceV2Relation): Seq[NamedExpression] 
= {
+    target.schema.map { col =>
+      target.output.find(attr => SQLConf.get.resolver(attr.name, 
col.name)).getOrElse {
+        Alias(Literal(null, col.dataType), col.name)()
+      }
+    }
+  }
+
+  def actionOutput(clause: MergeAction,
+                   targetOutputCols: Seq[Expression],
+                   plan: LogicalPlan): Seq[Expression] = {
+    val exprs = clause match {
+      case u: UpdateAction =>
+        u.assignments.map(_.value) :+ Literal(false)
+      case _: DeleteAction =>
+        targetOutputCols :+ Literal(true)
+      case i: InsertAction =>
+        i.assignments.map(_.value) :+ Literal(false)

Review comment:
       As Anton noted, there needs to be validation that the assignments here 
(for both inserts and updates) match up with the `targetOutputCols`.




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