[HUDI-3083] Support component data types for flink bulk_insert (#4470)

* [HUDI-3083] Support component data types for flink bulk_insert

* add nested row type test

hudi-client/hudi-flink-client/src/test/java/org/apache/hudi/io/storage/row/parquet/TestParquetSchemaConverter.java

@@ -0,0 +1,74 @@
+/*
+ * 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.hudi.io.storage.row.parquet;
+
+import org.apache.flink.table.api.DataTypes;
+import org.apache.flink.table.types.DataType;
+import org.apache.flink.table.types.logical.RowType;
+import org.junit.jupiter.api.Test;
+
+import static org.hamcrest.CoreMatchers.is;
+import static org.hamcrest.MatcherAssert.assertThat;
+
+/**
+ * Test cases for {@link ParquetSchemaConverter}.
+ */
+public class TestParquetSchemaConverter {
+  @Test
+  void testConvertComplexTypes() {
+    DataType dataType = DataTypes.ROW(
+        DataTypes.FIELD("f_array",
+            DataTypes.ARRAY(DataTypes.CHAR(10))),
+        DataTypes.FIELD("f_map",
+            DataTypes.MAP(DataTypes.INT(), DataTypes.VARCHAR(20))),
+        DataTypes.FIELD("f_row",
+            DataTypes.ROW(
+                DataTypes.FIELD("f_row_f0", DataTypes.INT()),
+                DataTypes.FIELD("f_row_f1", DataTypes.VARCHAR(10)),
+                DataTypes.FIELD("f_row_f2",
+                    DataTypes.ROW(
+                        DataTypes.FIELD("f_row_f2_f0", DataTypes.INT()),
+                        DataTypes.FIELD("f_row_f2_f1", DataTypes.VARCHAR(10)))))));
+    org.apache.parquet.schema.MessageType messageType =
+        ParquetSchemaConverter.convertToParquetMessageType("converted", (RowType) dataType.getLogicalType());
+    assertThat(messageType.getColumns().size(), is(7));
+    final String expected = "message converted {\n"
+        + "  optional group f_array (LIST) {\n"
+        + "    repeated group list {\n"
+        + "      optional binary element (UTF8);\n"
+        + "    }\n"
+        + "  }\n"
+        + "  optional group f_map (MAP) {\n"
+        + "    repeated group key_value {\n"
+        + "      optional int32 key;\n"
+        + "      optional binary value (UTF8);\n"
+        + "    }\n"
+        + "  }\n"
+        + "  optional group f_row {\n"
+        + "    optional int32 f_row_f0;\n"
+        + "    optional binary f_row_f1 (UTF8);\n"
+        + "    optional group f_row_f2 {\n"
+        + "      optional int32 f_row_f2_f0;\n"
+        + "      optional binary f_row_f2_f1 (UTF8);\n"
+        + "    }\n"
+        + "  }\n"
+        + "}\n";
+    assertThat(messageType.toString(), is(expected));
+  }
+}