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/**
* 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.lib.testbench;
import java.util.ArrayList;
import java.util.HashMap;
import java.util.Map;
import com.datatorrent.api.Context.OperatorContext;
import com.datatorrent.api.DefaultInputPort;
import com.datatorrent.api.DefaultOutputPort;
import com.datatorrent.common.util.BaseOperator;
/**
* This operator collects integer tuples, then emits their sum at the end of the window.
*
* @displayName Redis Sum Operator
* @category Test Bench
* @tags count
* @since 0.3.2
*/
public class RedisSumOper extends BaseOperator
{
private ArrayList<Integer> collect;
/**
* This is the input port which receives integer tuples to be summed.
*/
public final transient DefaultInputPort<Integer> inport = new DefaultInputPort<Integer>()
{
@Override
public void process(Integer s)
{
collect.add(s);
}
};
@Override
public void setup(OperatorContext context)
{
}
@Override
public void teardown()
{
}
@Override
public void beginWindow(long windowId)
{
collect = new ArrayList<Integer>();
}
/**
* This is the output port which emits the summed tuples.
*/
public final transient DefaultOutputPort<Map<Integer, Integer>> outport = new DefaultOutputPort<Map<Integer, Integer>>();
@Override
public void endWindow()
{
Integer sum = 0;
for (Integer entry : collect) {
sum += entry;
}
Map<Integer, Integer> tuple = new HashMap<Integer, Integer>();
tuple.put(1, sum);
outport.emit(tuple);
}
}