/**
 * 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 com.datatorrent.benchmark;

import org.apache.hadoop.conf.Configuration;

import com.datatorrent.api.DAG;
import com.datatorrent.api.DAG.Locality;
import com.datatorrent.api.StreamingApplication;
import com.datatorrent.api.annotation.ApplicationAnnotation;

/**
 * Application to benchmark the performance of couchbase input operator.
 * The number of tuples processed per second were around 9000.
 *
 * @since 2.0.0
 */
@ApplicationAnnotation(name = "CouchBaseAppInput")
public class CouchBaseAppInput implements StreamingApplication
{

  private final Locality locality = null;

  @Override
  public void populateDAG(DAG dag, Configuration conf)
  {
    CouchBaseInputOperator couchbaseInput = dag.addOperator("couchbaseInput", CouchBaseInputOperator.class);
    //couchbaseInput.getStore().setBucket("default");
    //couchbaseInput.getStore().setPassword("");
    WordCountOperator<String> counter = dag.addOperator("Counter", new WordCountOperator<String>());
    dag.addStream("Generator2Counter", couchbaseInput.outputPort, counter.input).setLocality(locality);
  }

}