cloud-fan commented on code in PR #42577:
URL: https://github.com/apache/spark/pull/42577#discussion_r1386077119


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sql/core/src/test/scala/org/apache/spark/sql/execution/command/CreateTableClusterBySuiteBase.scala:
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@@ -0,0 +1,85 @@
+/*
+ * 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.command
+
+import org.apache.spark.sql.{AnalysisException, QueryTest}
+
+/**
+ * This base suite contains unified tests for the `CREATE/REPLACE TABLE ... 
CLUSTER BY` command
+ * that check V1 and V2 table catalogs. The tests that cannot run for all 
supported catalogs are
+ * located in more specific test suites:
+ *
+ *   - V2 table catalog tests: 
`org.apache.spark.sql.execution.command.v2.CreateTableClusterBySuite`
+ *   - V1 table catalog tests:
+ *     
`org.apache.spark.sql.execution.command.v1.CreateTableClusterBySuiteBase`
+ *     - V1 In-Memory catalog: 
`org.apache.spark.sql.execution.command.v1.CreateTableClusterBySuite`
+ *     - V1 Hive External catalog:
+ *        
`org.apache.spark.sql.hive.execution.command.CreateTableClusterBySuite`
+ */
+trait CreateTableClusterBySuiteBase extends QueryTest with DDLCommandTestUtils 
{
+  override val command = "CREATE/REPLACE TABLE CLUSTER BY"
+
+  protected val nestedColumnSchema: String =
+    "col1 INT, col2 STRUCT<col3 INT, `col4 1` INT>, col3 STRUCT<`col4.1` INT>"
+  protected val nestedClusteringColumns: Seq[String] =
+    Seq("col2.col3", "col2.`col4 1`", "col3.`col4.1`")
+
+  def validateClusterBy(tableName: String, clusteringColumns: Seq[String]): 
Unit
+
+  test("test basic CREATE TABLE with clustering columns") {
+    withNamespaceAndTable("ns", "table") { tbl =>
+      spark.sql(s"CREATE TABLE $tbl (id INT, data STRING) $defaultUsing 
CLUSTER BY (id, data)")
+      validateClusterBy(tbl, Seq("id", "data"))
+    }
+  }
+
+  test("test clustering columns with comma") {
+    assume(!catalogVersion.contains("Hive")) // Hive catalog doesn't support 
column names with dots.

Review Comment:
   we can override `def excluded` in the hive suite to exclude this test case.



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