SportResults.java

/*
 * Copyright © 2015 Cask Data, Inc.
 *
 * Licensed 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 co.cask.cdap.examples.sportresults;

import co.cask.cdap.api.app.AbstractApplication;
import co.cask.cdap.api.dataset.lib.PartitionedFileSet;
import co.cask.cdap.api.dataset.lib.PartitionedFileSetProperties;
import co.cask.cdap.api.dataset.lib.Partitioning;
import org.apache.hadoop.mapreduce.lib.input.TextInputFormat;
import org.apache.hadoop.mapreduce.lib.output.TextOutputFormat;

/**
 * An example that illustrates using partitioned file sets through an example of sport results analytics.
 */
public class SportResults extends AbstractApplication {

  @Override
  public void configure() {
    addService(new UploadService());
    addMapReduce(new ScoreCounter());

    // Create the "results" partitioned file set, configure it to work with MapReduce and with Explore
    createDataset("results", PartitionedFileSet.class, PartitionedFileSetProperties.builder()
      // Properties for partitioning
      .setPartitioning(Partitioning.builder().addStringField("league").addIntField("season").build())
      // Properties for file set
      .setInputFormat(TextInputFormat.class)
      .setOutputFormat(TextOutputFormat.class)
      .setOutputProperty(TextOutputFormat.SEPERATOR, ",")
      // Properties for Explore (to create a partitioned Hive table)
      .setEnableExploreOnCreate(true)
      .setExploreFormat("csv")
      .setExploreSchema("date STRING, winner STRING, loser STRING, winnerpoints INT, loserpoints INT")
      .setDescription("FileSet dataset of game results for a sport league and season")
      .build());

    // Create the aggregates partitioned file set, configure it to work with MapReduce and with Explore
    createDataset("totals", PartitionedFileSet.class, PartitionedFileSetProperties.builder()
      // Properties for partitioning
      .setPartitioning(Partitioning.builder().addStringField("league").build())
      // Properties for file set
      .setInputFormat(TextInputFormat.class)
      .setOutputFormat(TextOutputFormat.class)
      .setOutputProperty(TextOutputFormat.SEPERATOR, ",")
      // Properties for Explore (to create a partitioned Hive table)
      .setEnableExploreOnCreate(true)
      .setExploreFormat("csv")
      .setExploreSchema("team STRING, wins INT, ties INT, losses INT, scored INT, conceded INT")
      .setDescription("FileSet dataset of aggregated results for each sport league")
      .build());
  }
}