rdblue commented on a change in pull request #29066:
URL: https://github.com/apache/spark/pull/29066#discussion_r535440763



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/V2Writes.scala
##########
@@ -0,0 +1,187 @@
+/*
+ * 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.execution.datasources.v2
+
+import java.util.UUID
+
+import org.apache.spark.SparkException
+import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst
+import org.apache.spark.sql.catalyst.analysis.Resolver
+import org.apache.spark.sql.catalyst.expressions.{NamedExpression, 
PredicateHelper, SortOrder}
+import org.apache.spark.sql.catalyst.plans.logical.{AppendData, LogicalPlan, 
OverwriteByExpression, OverwritePartitionsDynamic, RepartitionByExpression, 
Sort}
+import org.apache.spark.sql.catalyst.rules.Rule
+import org.apache.spark.sql.connector.catalog.Table
+import org.apache.spark.sql.connector.distributions.{ClusteredDistribution, 
OrderedDistribution, UnspecifiedDistribution}
+import org.apache.spark.sql.connector.expressions.{Expression, FieldReference, 
IdentityTransform, NullOrdering, SortDirection, SortValue}
+import org.apache.spark.sql.connector.write.{LogicalWriteInfoImpl, 
RequiresDistributionAndOrdering, SupportsDynamicOverwrite, SupportsOverwrite, 
SupportsTruncate, Write, WriteBuilder}
+import org.apache.spark.sql.execution.datasources.DataSourceStrategy
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.sources.{AlwaysTrue, Filter}
+
+/**
+ * A rule that constructs [[Write]]s.
+ *
+ * This rule does resolution in the optimizer because some nodes like 
[[OverwriteByExpression]]
+ * must undergo the expression optimization before we can construct a logical 
write.
+ */
+object V2Writes extends Rule[LogicalPlan] with PredicateHelper {
+
+  import DataSourceV2Implicits._
+
+  override def apply(plan: LogicalPlan): LogicalPlan = plan transformDown {
+    case append @ AppendData(relation: DataSourceV2Relation, query, options, 
_, None) =>
+      val writeBuilder = newWriteBuilder(relation.table, query, options)
+      val write = writeBuilder.build()
+      append.copy(write = Some(write), query = 
addDistributionAndOrdering(write, query))
+
+    case overwrite @ OverwriteByExpression(
+        relation: DataSourceV2Relation, deleteExpr, query, options, _, None) =>
+      // fail if any filter cannot be converted. correctness depends on 
removing all matching data.
+      val filters = splitConjunctivePredicates(deleteExpr).flatMap { p =>
+        val filter = DataSourceStrategy.translateFilter(p, 
supportNestedPredicatePushdown = true)
+        if (filter.isEmpty) {
+          throw new AnalysisException(s"Cannot translate expression to source 
filter: $p")
+        }
+        filter
+      }.toArray
+
+      val table = relation.table
+      val writeBuilder = newWriteBuilder(table, query, options)
+      val write = writeBuilder match {
+        case builder: SupportsTruncate if isTruncate(filters) =>
+          builder.truncate().build()
+        case builder: SupportsOverwrite =>

Review comment:
       This is existing logic, just moved.
   
   The reason for this is that `SupportsOverwrite` extends `SupportsTruncate` 
and calls `overwrite(true)`. Calling `truncate` ensures that the source can 
implement either one if it chooses. Sometimes truncate may be preferred, and it 
is easier for a source to receive that call directly rather than writing its 
own equivalent of `isTruncate`.




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