/*
* Copyright 2014 University of Southern California
*
* 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 edu.usc.pgroup.floe.examples.pellets;
import edu.usc.pgroup.floe.app.AppContext;
import edu.usc.pgroup.floe.app.Emitter;
import edu.usc.pgroup.floe.app.Tuple;
import edu.usc.pgroup.floe.app.pellets.Pellet;
import edu.usc.pgroup.floe.app.pellets.PelletConfiguration;
import edu.usc.pgroup.floe.app.pellets.PelletContext;
import edu.usc.pgroup.floe.flake.statemanager.PelletState;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import java.util.List;
/**
* @author kumbhare
*/
public class WordCountReducer extends Pellet {
/**
* Key to be used to extract word from tuple.
*/
private String tupleWordKey;
/**
* Logger.
*/
private static final Logger LOGGER =
LoggerFactory.getLogger(PrintPellet.class);
/**
* Constructor.
*
* @param keyName name of the field from the input tuple to be
* used as the key for grouping tuples.
*/
public WordCountReducer(final String keyName) {
//super(keyName);
tupleWordKey = keyName;
}
@Override
public final void configure(final PelletConfiguration conf) {
}
/**
* The setup function is called once to let the pellet initialize.
* @param appContext Application's context. Some data related to
* application's deployment.
* @param pelletContext Pellet instance context. Related to this
* particular pellet instance.
*/
@Override
public void onStart(final AppContext appContext,
final PelletContext pelletContext) {
}
/**
* The teardown function, called when the topology is killed.
* Or when the Pellet instance is scaled down.
*/
@Override
public final void teardown() {
}
/**
* @return The names of the streams to be used later during emitting
* messages.
*/
@Override
public final List<String> getOutputStreamNames() {
return null;
}
/**
* Reducer specific execute function which is called for each input tuple
* with the state corresponding to the key. This state will be persisted
* across executes for each of the keys.
*
* @param t input tuple received from the preceding pellet.
* @param emitter An output emitter which may be used by the user to emmit.
* @param state State specific to the key value given in the tuple.
*/
@Override
public final void execute(final Tuple t,
final Emitter emitter,
final PelletState state) {
if (t == null) {
return;
}
String word = (String) t.get(tupleWordKey);
Integer count = 0;
Object value = state.getValue("count");
if (value != null) {
count = (Integer) value + count;
}
count++;
if (count == 1 && word.equals("the")) {
LOGGER.error("I have 'the'");
}
state.setValue("count", count);
LOGGER.info("Count for {}: {}", word, count);
}
}