co.cask.cdap.spark.app.SparkLogParser.java Source code

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Here is the source code for co.cask.cdap.spark.app.SparkLogParser.java

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/*
 * Copyright  2016 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.spark.app;

import co.cask.cdap.api.TxRunnable;
import co.cask.cdap.api.data.DatasetContext;
import co.cask.cdap.api.dataset.lib.KeyValueTable;
import co.cask.cdap.api.spark.AbstractSpark;
import co.cask.cdap.api.spark.JavaSparkExecutionContext;
import co.cask.cdap.api.spark.JavaSparkMain;
import co.cask.cdap.spark.app.SparkAppUsingGetDataset.LogKey;
import co.cask.cdap.spark.app.SparkAppUsingGetDataset.LogStats;
import com.google.common.base.Function;
import com.google.common.collect.Iterators;
import com.google.common.collect.Lists;
import com.google.gson.Gson;
import org.apache.hadoop.io.LongWritable;
import org.apache.hadoop.io.Text;
import org.apache.spark.api.java.JavaPairRDD;
import org.apache.spark.api.java.JavaSparkContext;
import org.apache.spark.api.java.function.Function2;
import org.apache.spark.api.java.function.PairFlatMapFunction;
import org.apache.spark.api.java.function.PairFunction;
import scala.Tuple2;

import java.util.Iterator;
import java.util.Map;

/**
 *
 */
public class SparkLogParser extends AbstractSpark implements JavaSparkMain {

    @Override
    protected void configure() {
        setMainClass(SparkLogParser.class);
    }

    @Override
    public void run(JavaSparkExecutionContext sec) throws Exception {
        JavaSparkContext jsc = new JavaSparkContext();

        Map<String, String> runtimeArguments = sec.getRuntimeArguments();
        String inputFileSet = runtimeArguments.get("input");
        final String outputTable = runtimeArguments.get("output");

        JavaPairRDD<LongWritable, Text> input = sec.fromDataset(inputFileSet);

        final JavaPairRDD<String, String> aggregated = input
                .mapToPair(new PairFunction<Tuple2<LongWritable, Text>, LogKey, LogStats>() {
                    @Override
                    public Tuple2<LogKey, LogStats> call(Tuple2<LongWritable, Text> input) throws Exception {
                        return SparkAppUsingGetDataset.parse(input._2());
                    }
                }).reduceByKey(new Function2<LogStats, LogStats, LogStats>() {
                    @Override
                    public LogStats call(LogStats stats1, LogStats stats2) throws Exception {
                        return stats1.aggregate(stats2);
                    }
                })
                .mapPartitionsToPair(new PairFlatMapFunction<Iterator<Tuple2<LogKey, LogStats>>, String, String>() {
                    @Override
                    public Iterable<Tuple2<String, String>> call(Iterator<Tuple2<LogKey, LogStats>> itor)
                            throws Exception {
                        final Gson gson = new Gson();
                        return Lists.newArrayList(Iterators.transform(itor,
                                new Function<Tuple2<LogKey, LogStats>, Tuple2<String, String>>() {
                                    @Override
                                    public Tuple2<String, String> apply(Tuple2<LogKey, LogStats> input) {
                                        return new Tuple2<>(gson.toJson(input._1()), gson.toJson(input._2()));
                                    }
                                }));
                    }
                });

        // Collect all data to driver and write to dataset directly. That's the intend of the test.
        sec.execute(new TxRunnable() {
            @Override
            public void run(DatasetContext context) throws Exception {
                KeyValueTable kvTable = context.getDataset(outputTable);
                for (Map.Entry<String, String> entry : aggregated.collectAsMap().entrySet()) {
                    kvTable.write(entry.getKey(), entry.getValue());
                }
            }
        });
    }
}