cloud-fan commented on a change in pull request #29972:
URL: https://github.com/apache/spark/pull/29972#discussion_r503149079



##########
File path: 
external/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/v2/V2JDBCTest.scala
##########
@@ -0,0 +1,99 @@
+/*
+ * 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.jdbc.v2
+
+import org.apache.spark.sql.AnalysisException
+import org.apache.spark.sql.catalyst.parser.ParseException
+import org.apache.spark.sql.test.SharedSparkSession
+import org.apache.spark.sql.types.{StringType, StructType}
+import org.apache.spark.tags.DockerTest
+
+@DockerTest
+trait V2JDBCTest extends SharedSparkSession {
+  val catalogName: String
+  // dialect specific update column type test
+  def updateColumnType: Unit
+
+  test("SPARK-33034: ALTER TABLE ... add new columns") {
+    withTable(s"$catalogName.alt_table") {
+      sql(s"CREATE TABLE $catalogName.alt_table (ID STRING) USING _")
+      sql(s"ALTER TABLE $catalogName.alt_table ADD COLUMNS (C1 STRING, C2 
STRING)")
+      var t = spark.table(s"$catalogName.alt_table")
+      var expectedSchema = new StructType()
+        .add("ID", StringType)
+        .add("C1", StringType)
+        .add("C2", StringType)
+      assert(t.schema === expectedSchema)
+      sql(s"ALTER TABLE $catalogName.alt_table ADD COLUMNS (C3 STRING)")
+      t = spark.table(s"$catalogName.alt_table")
+      expectedSchema = expectedSchema.add("C3", StringType)
+      assert(t.schema === expectedSchema)
+      // Add already existing column
+      val msg = intercept[AnalysisException] {
+        sql(s"ALTER TABLE $catalogName.alt_table ADD COLUMNS (C3 DOUBLE)")
+      }.getMessage
+      assert(msg.contains("Cannot add column, because C3 already exists"))
+    }
+    // Add a column to not existing table
+    val msg = intercept[AnalysisException] {
+      sql(s"ALTER TABLE $catalogName.not_existing_table ADD COLUMNS (C4 
STRING)")
+    }.getMessage
+    assert(msg.contains("Table not found"))
+  }
+
+  test("SPARK-33034: ALTER TABLE ... update column type") {
+    withTable(s"$catalogName.alt_table") {
+      updateColumnType

Review comment:
       ah it has tests as well. How about `testUpdateColumnType(tbl: String)`?




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