rdblue commented on a change in pull request #1156:
URL: https://github.com/apache/iceberg/pull/1156#discussion_r448703745



##########
File path: 
spark3/src/test/java/org/apache/iceberg/spark/sql/TestCreateTable.java
##########
@@ -0,0 +1,224 @@
+/*
+ * 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.iceberg.spark.sql;
+
+import java.io.File;
+import java.util.Map;
+import org.apache.iceberg.AssertHelpers;
+import org.apache.iceberg.PartitionSpec;
+import org.apache.iceberg.Schema;
+import org.apache.iceberg.Table;
+import org.apache.iceberg.TableProperties;
+import org.apache.iceberg.hadoop.HadoopCatalog;
+import org.apache.iceberg.spark.SparkCatalogTestBase;
+import org.apache.iceberg.types.Types;
+import org.apache.iceberg.types.Types.NestedField;
+import org.apache.iceberg.types.Types.StructType;
+import org.apache.spark.sql.connector.catalog.TableCatalog;
+import org.junit.After;
+import org.junit.Assert;
+import org.junit.Assume;
+import org.junit.Test;
+
+public class TestCreateTable extends SparkCatalogTestBase {
+  public TestCreateTable(String catalogName, String implementation, 
Map<String, String> config) {
+    super(catalogName, implementation, config);
+  }
+
+  @After
+  public void dropTestTable() {
+    sql("DROP TABLE IF EXISTS %s", tableName);
+  }
+
+  @Test
+  public void testCreateTable() {
+    Assert.assertFalse("Table should not already exist", 
validationCatalog.tableExists(tableIdent));
+
+    sql("CREATE TABLE %s (id BIGINT NOT NULL, data STRING) USING iceberg", 
tableName);
+
+    Table table = validationCatalog.loadTable(tableIdent);
+    Assert.assertNotNull("Should load the new table", table);
+
+    StructType expectedSchema = StructType.of(
+        NestedField.required(1, "id", Types.LongType.get()),
+        NestedField.optional(2, "data", Types.StringType.get()));
+    Assert.assertEquals("Should have the expected schema", expectedSchema, 
table.schema().asStruct());
+    Assert.assertEquals("Should not be partitioned", 0, 
table.spec().fields().size());
+    Assert.assertNull("Should not have the default format set",
+        table.properties().get(TableProperties.DEFAULT_FILE_FORMAT));
+  }
+
+  @Test
+  public void testCreateTableUsingParquet() {

Review comment:
       This is just a test that the provider is passed through correctly when 
using a specific catalog. I probably wouldn't add a test for other formats here 
in the SQL tests, but I would in unit tests for the SparkCatalog.




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