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 test.org.apache.spark.sql;
  
  import java.io.Serializable;
  import java.util.Arrays;
  import java.util.List;
  
  import scala.Tuple2;
  
  import org.junit.After;
  import org.junit.Before;
  
  import org.apache.spark.api.java.function.MapFunction;
  import org.apache.spark.sql.Dataset;
  import org.apache.spark.sql.Encoder;
  import org.apache.spark.sql.Encoders;
  import org.apache.spark.sql.KeyValueGroupedDataset;
  import org.apache.spark.sql.test.TestSparkSession;
  
  /**
   * Common test base shared across this and Java8DatasetAggregatorSuite.
   */
  public class JavaDatasetAggregatorSuiteBase implements Serializable {
    private transient TestSparkSession spark;
  
    @Before
    public void setUp() {
      // Trigger static initializer of TestData
      spark = new TestSparkSession();
      spark.loadTestData();
    }
  
    @After
    public void tearDown() {
      spark.stop();
      spark = null;
    }
  
    protected <T1, T2> Tuple2<T1, T2> tuple2(T1 t1, T2 t2) {
      return new Tuple2<>(t1, t2);
    }
  
    protected KeyValueGroupedDataset<String, Tuple2<String, Integer>> generateGroupedDataset() {
      Encoder<Tuple2<String, Integer>> encoder = Encoders.tuple(Encoders.STRING(), Encoders.INT());
      List<Tuple2<String, Integer>> data =
        Arrays.asList(tuple2("a", 1), tuple2("a", 2), tuple2("b", 3));
      Dataset<Tuple2<String, Integer>> ds = spark.createDataset(data, encoder);
  
      return ds.groupByKey(
        new MapFunction<Tuple2<String, Integer>, String>() {
          @Override
          public String call(Tuple2<String, Integer> value) throws Exception {
            return value._1();
          }
        },
        Encoders.STRING());
    }
  }
  
  