content: /*
   * 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.beam.sdk.extensions.sql.meta.provider.mongodb;
  
  import static org.apache.beam.sdk.schemas.Schema.FieldType.BOOLEAN;
  import static org.apache.beam.sdk.schemas.Schema.FieldType.BYTE;
  import static org.apache.beam.sdk.schemas.Schema.FieldType.DOUBLE;
  import static org.apache.beam.sdk.schemas.Schema.FieldType.FLOAT;
  import static org.apache.beam.sdk.schemas.Schema.FieldType.INT16;
  import static org.apache.beam.sdk.schemas.Schema.FieldType.INT32;
  import static org.apache.beam.sdk.schemas.Schema.FieldType.INT64;
  import static org.apache.beam.sdk.schemas.Schema.FieldType.STRING;
  
  import java.util.Arrays;
  import org.apache.beam.sdk.extensions.sql.impl.utils.CalciteUtils;
  import org.apache.beam.sdk.extensions.sql.meta.provider.mongodb.MongoDbTable.DocumentToRow;
  import org.apache.beam.sdk.extensions.sql.meta.provider.mongodb.MongoDbTable.RowToDocument;
  import org.apache.beam.sdk.schemas.Schema;
  import org.apache.beam.sdk.schemas.Schema.FieldType;
  import org.apache.beam.sdk.testing.PAssert;
  import org.apache.beam.sdk.testing.TestPipeline;
  import org.apache.beam.sdk.transforms.Create;
  import org.apache.beam.sdk.values.PCollection;
  import org.apache.beam.sdk.values.Row;
  import org.bson.Document;
  import org.junit.Rule;
  import org.junit.Test;
  import org.junit.runner.RunWith;
  import org.junit.runners.JUnit4;
  
  @RunWith(JUnit4.class)
  public class MongoDbTableTest {
  
    private static final Schema SCHEMA =
        Schema.builder()
            .addNullableField("long", INT64)
            .addNullableField("int32", INT32)
            .addNullableField("int16", INT16)
            .addNullableField("byte", BYTE)
            .addNullableField("bool", BOOLEAN)
            .addNullableField("double", DOUBLE)
            .addNullableField("float", FLOAT)
            .addNullableField("string", CalciteUtils.CHAR)
            .addRowField("nested", Schema.builder().addNullableField("int32", INT32).build())
            .addNullableField("arr", FieldType.array(STRING))
            .build();
    private static final String JSON_ROW =
        "{ "
            + "\"long\" : 9223372036854775807, "
            + "\"int32\" : 2147483647, "
            + "\"int16\" : 32767, "
            + "\"byte\" : 127, "
            + "\"bool\" : true, "
            + "\"double\" : 1.0, "
            + "\"float\" : 1.0, "
            + "\"string\" : \"string\", "
            + "\"nested\" : {\"int32\" : 2147483645}, "
            + "\"arr\" : [\"str1\", \"str2\", \"str3\"]"
            + " }";
  
    @Rule public transient TestPipeline pipeline = TestPipeline.create();
  
    @Test
    public void testDocumentToRowConverter() {
      PCollection<Row> output =
          pipeline
              .apply("Create document from JSON", Create.<Document>of(Document.parse(JSON_ROW)))
              .apply("Convert document to Row", DocumentToRow.withSchema(SCHEMA));
  
      // Make sure proper rows are constructed from JSON.
      PAssert.that(output)
          .containsInAnyOrder(
              row(
                  SCHEMA,
                  9223372036854775807L,
                  2147483647,
                  (short) 32767,
                  (byte) 127,
                  true,
                  1.0,
                  (float) 1.0,
                  "string",
                  row(Schema.builder().addNullableField("int32", INT32).build(), 2147483645),
                  Arrays.asList("str1", "str2", "str3")));
  
      pipeline.run().waitUntilFinish();
    }
  
    @Test
    public void testRowToDocumentConverter() {
      PCollection<Document> output =
          pipeline
              .apply(
                  "Create a row",
                  Create.of(
                          row(
                              SCHEMA,
                              9223372036854775807L,
                              2147483647,
                              (short) 32767,
                              (byte) 127,
                              true,
                              1.0,
                              (float) 1.0,
                              "string",
                              row(
                                  Schema.builder().addNullableField("int32", INT32).build(),
                                  2147483645),
                              Arrays.asList("str1", "str2", "str3")))
                      .withRowSchema(SCHEMA))
              .apply("Convert row to document", RowToDocument.convert());
  
      PAssert.that(output).containsInAnyOrder(Document.parse(JSON_ROW));
  
      pipeline.run().waitUntilFinish();
    }
  
    private Row row(Schema schema, Object... values) {
      return Row.withSchema(schema).addValues(values).build();
    }
  }
  