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   * 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
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  package org.apache.beam.sdk.extensions.sql.meta.provider.datacatalog;
  
  import static org.apache.beam.sdk.schemas.Schema.FieldType.INT64;
  import static org.apache.beam.sdk.schemas.Schema.FieldType.STRING;
  
  import com.google.api.services.bigquery.model.TableReference;
  import java.util.Arrays;
  import org.apache.beam.sdk.extensions.sql.SqlTransform;
  import org.apache.beam.sdk.extensions.sql.impl.BeamSqlPipelineOptions;
  import org.apache.beam.sdk.extensions.sql.impl.CalciteQueryPlanner;
  import org.apache.beam.sdk.extensions.sql.impl.QueryPlanner;
  import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO;
  import org.apache.beam.sdk.io.gcp.bigquery.BigQueryIO.Write.Method;
  import org.apache.beam.sdk.io.gcp.bigquery.BigQueryUtils;
  import org.apache.beam.sdk.io.gcp.bigquery.TestBigQuery;
  import org.apache.beam.sdk.schemas.Schema;
  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.joda.time.Duration;
  import org.junit.Rule;
  import org.junit.Test;
  import org.junit.experimental.runners.Enclosed;
  import org.junit.runner.RunWith;
  import org.junit.runners.Parameterized;
  
  /** Integration tests for DataCatalog+BigQuery. */
  @RunWith(Enclosed.class)
  public class DataCatalogBigQueryIT {
  
    @RunWith(Parameterized.class)
    public static class DialectSensitiveTests {
      private static final Schema ID_NAME_SCHEMA =
          Schema.builder().addNullableField("id", INT64).addNullableField("name", STRING).build();
      @Rule public transient TestPipeline writePipeline = TestPipeline.create();
      @Rule public transient TestPipeline readPipeline = TestPipeline.create();
      @Rule public transient TestBigQuery bigQuery = TestBigQuery.create(ID_NAME_SCHEMA);
  
      /** Parameterized by which SQL dialect, since the syntax here is the same. */
      @Parameterized.Parameters(name = "{0}")
      public static Iterable<Object[]> dialects() {
        return Arrays.asList(new Object[][] {{"CalciteSQL", CalciteQueryPlanner.class}});
      }
  
      @SuppressWarnings("initialization.fields.uninitialized")
      @Parameterized.Parameter(0)
      public String dialectName;
  
      @SuppressWarnings("initialization.fields.uninitialized")
      @Parameterized.Parameter(1)
      public Class<? extends QueryPlanner> queryPlanner;
  
      @Test
      public void testRead() throws Exception {
        TableReference bqTable = bigQuery.tableReference();
  
        // Streaming inserts do not work with DIRECT_READ mode, there is a several hour lag.
        PCollection<Row> data =
            writePipeline.apply(Create.of(row(1, "name1"), row(2, "name2"), row(3, "name3")));
        data.apply(
            BigQueryIO.<Row>write()
                .withSchema(BigQueryUtils.toTableSchema(ID_NAME_SCHEMA))
                .withFormatFunction(BigQueryUtils.toTableRow())
                .withMethod(Method.FILE_LOADS)
                .to(bqTable));
        writePipeline.run().waitUntilFinish(Duration.standardMinutes(2));
  
        String tableId =
            String.format(
                "bigquery.`table`.`%s`.`%s`.`%s`",
                bqTable.getProjectId(), bqTable.getDatasetId(), bqTable.getTableId());
  
        readPipeline
            .getOptions()
            .as(BeamSqlPipelineOptions.class)
            .setPlannerName(queryPlanner.getName());
  
        try (DataCatalogTableProvider tableProvider =
            DataCatalogTableProvider.create(
                readPipeline.getOptions().as(DataCatalogPipelineOptions.class))) {
          PCollection<Row> result =
              readPipeline.apply(
                  "query",
                  SqlTransform.query("SELECT id, name FROM " + tableId)
                      .withDefaultTableProvider("datacatalog", tableProvider));
  
          PAssert.that(result).containsInAnyOrder(row(1, "name1"), row(2, "name2"), row(3, "name3"));
          readPipeline.run().waitUntilFinish(Duration.standardMinutes(2));
        }
      }
  
      private static Row row(long id, String name) {
        return Row.withSchema(ID_NAME_SCHEMA).addValues(id, name).build();
      }
    }
  }
  