mccheah commented on a change in pull request #24617: [SPARK-27732][SQL] Add v2 
CreateTable implementation.
URL: https://github.com/apache/spark/pull/24617#discussion_r287077814
 
 

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 File path: 
sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/v2/CreateTableExec.scala
 ##########
 @@ -0,0 +1,56 @@
+/*
+ * 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 scala.collection.JavaConverters._
+
+import org.apache.spark.rdd.RDD
+import org.apache.spark.sql.catalog.v2.{Identifier, TableCatalog}
+import org.apache.spark.sql.catalog.v2.expressions.Transform
+import org.apache.spark.sql.catalyst.InternalRow
+import org.apache.spark.sql.catalyst.analysis.TableAlreadyExistsException
+import org.apache.spark.sql.catalyst.expressions.Attribute
+import org.apache.spark.sql.execution.LeafExecNode
+import org.apache.spark.sql.types.StructType
+
+case class CreateTableExec(
+    catalog: TableCatalog,
+    identifier: Identifier,
+    tableSchema: StructType,
+    partitioning: Seq[Transform],
+    tableProperties: Map[String, String],
+    ignoreIfExists: Boolean) extends LeafExecNode {
+  import org.apache.spark.sql.catalog.v2.CatalogV2Implicits._
+
+  override protected def doExecute(): RDD[InternalRow] = {
+    if (!catalog.tableExists(identifier)) {
+      try {
+        catalog.createTable(identifier, tableSchema, partitioning.toArray, 
tableProperties.asJava)
 
 Review comment:
   The question is if the downstream source has different behavior from what 
Spark wants to enforce if the `ignoreIfExists` flag is passed to the source vs. 
Spark deciding how to handle it. So I can imagine there being a discrepancy if 
the user gets different behavior from running the `IF NOT EXISTS` query 
directly on the Hive / SQL DB vs. running it through Spark.
   
   I think it's better to keep Spark consistent across sources, which does 
leave a concession for us being inconsistent in the above way. We should 
document the behavior of the SQL queries where they may deviate from the 
behavior of the underlying source where appropriate.

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