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Posted to issues@iceberg.apache.org by GitBox <gi...@apache.org> on 2022/06/21 06:23:03 UTC

[GitHub] [iceberg] singhpk234 commented on a diff in pull request #5094: Spark: Add Spark 3.2 copy on top of Spark 3.3

singhpk234 commented on code in PR #5094:
URL: https://github.com/apache/iceberg/pull/5094#discussion_r902204604


##########
spark/v3.3/spark-extensions/src/main/scala/org/apache/spark/sql/catalyst/analysis/RewriteMergeIntoTable.scala:
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@@ -0,0 +1,387 @@
+/*
+ * 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.analysis
+
+import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.expressions.Alias
+import org.apache.spark.sql.catalyst.expressions.Attribute
+import org.apache.spark.sql.catalyst.expressions.AttributeReference
+import org.apache.spark.sql.catalyst.expressions.AttributeSet
+import org.apache.spark.sql.catalyst.expressions.Expression
+import org.apache.spark.sql.catalyst.expressions.ExtendedV2ExpressionUtils
+import org.apache.spark.sql.catalyst.expressions.IsNotNull
+import org.apache.spark.sql.catalyst.expressions.Literal
+import org.apache.spark.sql.catalyst.expressions.Literal.FalseLiteral
+import org.apache.spark.sql.catalyst.expressions.Literal.TrueLiteral
+import org.apache.spark.sql.catalyst.expressions.MonotonicallyIncreasingID
+import org.apache.spark.sql.catalyst.plans.FullOuter
+import org.apache.spark.sql.catalyst.plans.Inner
+import org.apache.spark.sql.catalyst.plans.LeftAnti
+import org.apache.spark.sql.catalyst.plans.LeftOuter
+import org.apache.spark.sql.catalyst.plans.RightOuter
+import org.apache.spark.sql.catalyst.plans.logical.AppendData
+import org.apache.spark.sql.catalyst.plans.logical.DeleteAction
+import org.apache.spark.sql.catalyst.plans.logical.Filter
+import org.apache.spark.sql.catalyst.plans.logical.HintInfo
+import org.apache.spark.sql.catalyst.plans.logical.InsertAction
+import org.apache.spark.sql.catalyst.plans.logical.Join
+import org.apache.spark.sql.catalyst.plans.logical.JoinHint
+import org.apache.spark.sql.catalyst.plans.logical.LogicalPlan
+import org.apache.spark.sql.catalyst.plans.logical.MergeAction
+import org.apache.spark.sql.catalyst.plans.logical.MergeIntoIcebergTable
+import org.apache.spark.sql.catalyst.plans.logical.MergeRows
+import org.apache.spark.sql.catalyst.plans.logical.NO_BROADCAST_HASH
+import org.apache.spark.sql.catalyst.plans.logical.NoStatsUnaryNode
+import org.apache.spark.sql.catalyst.plans.logical.Project
+import org.apache.spark.sql.catalyst.plans.logical.ReplaceIcebergData
+import org.apache.spark.sql.catalyst.plans.logical.UpdateAction
+import org.apache.spark.sql.catalyst.plans.logical.WriteDelta
+import org.apache.spark.sql.catalyst.util.RowDeltaUtils._
+import org.apache.spark.sql.connector.catalog.SupportsRowLevelOperations
+import org.apache.spark.sql.connector.expressions.FieldReference
+import org.apache.spark.sql.connector.expressions.NamedReference
+import org.apache.spark.sql.connector.iceberg.write.SupportsDelta
+import org.apache.spark.sql.connector.write.RowLevelOperation.Command.MERGE
+import org.apache.spark.sql.connector.write.RowLevelOperationTable
+import org.apache.spark.sql.execution.datasources.v2.DataSourceV2Relation
+import org.apache.spark.sql.types.IntegerType
+import org.apache.spark.sql.util.CaseInsensitiveStringMap
+
+/**
+ * Assigns a rewrite plan for v2 tables that support rewriting data to handle MERGE statements.
+ *
+ * This rule assumes the commands have been fully resolved and all assignments have been aligned.
+ * That's why it must be run after AlignRowLevelCommandAssignments.
+ */
+object RewriteMergeIntoTable extends RewriteRowLevelDeltaCommand with RewriteRowLevelCommand {
+
+  private final val ROW_FROM_SOURCE = "__row_from_source"
+  private final val ROW_FROM_TARGET = "__row_from_target"
+  private final val ROW_ID = "__row_id"
+
+  private final val ROW_FROM_SOURCE_REF = FieldReference(ROW_FROM_SOURCE)
+  private final val ROW_FROM_TARGET_REF = FieldReference(ROW_FROM_TARGET)
+  private final val ROW_ID_REF = FieldReference(ROW_ID)
+
+  override def apply(plan: LogicalPlan): LogicalPlan = plan resolveOperators {
+    case m @ MergeIntoIcebergTable(aliasedTable, source, cond, matchedActions, notMatchedActions, None)
+        if m.resolved && m.aligned && matchedActions.isEmpty && notMatchedActions.size == 1 =>
+
+      EliminateSubqueryAliases(aliasedTable) match {
+        case r: DataSourceV2Relation =>
+          // NOT MATCHED conditions may only refer to columns in source so they can be pushed down
+          val insertAction = notMatchedActions.head.asInstanceOf[InsertAction]
+          val filteredSource = insertAction.condition match {
+            case Some(insertCond) => Filter(insertCond, source)
+            case None => source
+          }
+
+          // when there are no MATCHED actions, use a left anti join to remove any matching rows
+          // and switch to using a regular append instead of a row-level merge
+          // only unmatched source rows that match the condition are appended to the table
+          val joinPlan = Join(filteredSource, r, LeftAnti, Some(cond), JoinHint.NONE)
+
+          val outputExprs = insertAction.assignments.map(_.value)
+          val outputColNames = r.output.map(_.name)
+          val outputCols = outputExprs.zip(outputColNames).map { case (expr, name) =>
+            Alias(expr, name)()
+          }
+          val project = Project(outputCols, joinPlan)
+
+          AppendData.byPosition(r, project)
+
+        case p =>
+          throw new AnalysisException(s"$p is not an Iceberg table")
+      }
+
+    case m @ MergeIntoIcebergTable(aliasedTable, source, cond, matchedActions, notMatchedActions, None)
+        if m.resolved && m.aligned && matchedActions.isEmpty =>
+
+      EliminateSubqueryAliases(aliasedTable) match {
+        case r: DataSourceV2Relation =>
+          // when there are no MATCHED actions, use a left anti join to remove any matching rows
+          // and switch to using a regular append instead of a row-level merge
+          // only unmatched source rows that match action conditions are appended to the table
+          val joinPlan = Join(source, r, LeftAnti, Some(cond), JoinHint.NONE)
+
+          val notMatchedConditions = notMatchedActions.map(actionCondition)
+          val notMatchedOutputs = notMatchedActions.map(actionOutput(_, Nil))
+
+          // merge rows as there are multiple not matched actions
+          val mergeRows = MergeRows(
+            isSourceRowPresent = TrueLiteral,
+            isTargetRowPresent = FalseLiteral,
+            matchedConditions = Nil,
+            matchedOutputs = Nil,
+            notMatchedConditions = notMatchedConditions,
+            notMatchedOutputs = notMatchedOutputs,
+            targetOutput = Nil,
+            rowIdAttrs = Nil,
+            performCardinalityCheck = false,
+            emitNotMatchedTargetRows = false,
+            output = buildMergeRowsOutput(Nil, notMatchedOutputs, r.output),
+            joinPlan)
+
+          AppendData.byPosition(r, mergeRows)
+
+        case p =>
+          throw new AnalysisException(s"$p is not an Iceberg table")
+      }
+
+    case m @ MergeIntoIcebergTable(aliasedTable, source, cond, matchedActions, notMatchedActions, None)
+        if m.resolved && m.aligned =>
+
+      EliminateSubqueryAliases(aliasedTable) match {
+        case r @ DataSourceV2Relation(tbl: SupportsRowLevelOperations, _, _, _, _) =>
+          val table = buildOperationTable(tbl, MERGE, CaseInsensitiveStringMap.empty())

Review Comment:
   This was discussed in supporting delete pr in spark as well https://github.com/apache/spark/pull/35395#discussion_r826611125
   
   >These are options passed into newRowLevelOperationBuilder and I thought they should come from the SQL operation. For example, if Spark adds a clause OPTIONS to its SQL for DELETE, UPDATE, MERGE, then these values will be propagated here.
   
   based on the rationale above by @aokolnychyi  I decided to keep them same here as well.



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