huaxingao commented on a change in pull request #29396:
URL: https://github.com/apache/spark/pull/29396#discussion_r482597501



##########
File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/jdbc/JDBCWriteBuilder.scala
##########
@@ -0,0 +1,46 @@
+/*
+ * 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.jdbc
+
+import org.apache.spark.sql._
+import org.apache.spark.sql.connector.write._
+import org.apache.spark.sql.execution.datasources.jdbc.{JdbcOptionsInWrite, 
JdbcUtils}
+import org.apache.spark.sql.internal.SQLConf
+import org.apache.spark.sql.sources.InsertableRelation
+import org.apache.spark.sql.types.StructType
+
+case class JDBCWriteBuilder(schema: StructType, options: JdbcOptionsInWrite) 
extends V1WriteBuilder
+  with SupportsTruncate {
+
+  private var isTruncate = false
+
+  override def truncate(): WriteBuilder = {
+    isTruncate = true
+    this
+  }
+
+  override def buildForV1Write(): InsertableRelation = new InsertableRelation {
+    override def insert(data: DataFrame, overwrite: Boolean): Unit = {
+      // TODO (SPARK-32595): do truncate and append atomically.

Review comment:
       @cloud-fan I have a question here: I think it makes sense to do truncate 
and append atomically. However, in `JDBCRelationProvider.createRelation`, it 
doesn't do `truncateTable` and `saveTable` atomically, or `dropTable`, 
`createTable`, and `saveTable` atomically. 
   ```
             case SaveMode.Overwrite =>
               if (options.isTruncate && isCascadingTruncateTable(options.url) 
== Some(false)) {
                 // In this case, we should truncate table and then load.
                 truncateTable(conn, options)
                 val tableSchema = JdbcUtils.getSchemaOption(conn, options)
                 saveTable(df, tableSchema, isCaseSensitive, conn, options)
               } else {
                 // Otherwise, do not truncate the table, instead drop and 
recreate it
                 dropTable(conn, options.table, options)
                 createTable(conn, options.table, df.schema, isCaseSensitive, 
options)
                 saveTable(df, Some(df.schema), isCaseSensitive, conn, options)
               }
   ```
   Do we want to be consistent with the old behavior and don't consider atomic 
or we want to have atomic behavior for both v1 and v2?




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