blob: aacfd221bc3522041bef456b96b60cba343d6abb [file]
/*
* Copyright (c) 2013 DataTorrent, Inc. ALL Rights Reserved.
*
* 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 com.datatorrent.lib.stream;
import org.junit.Assert;
import org.junit.Test;
import com.datatorrent.lib.testbench.CountTestSink;
import com.datatorrent.lib.util.KeyValPair;
/**
* Functional test for {@link com.datatorrent.lib.stream.KeyValPairToHashMap}
* <p>
* <br>
*/
public class KeyPairToHashMapTest
{
/**
* Test oper pass through. The Object passed is not relevant
*/
@SuppressWarnings({ "unchecked", "rawtypes" })
@Test
public void testNodeProcessing() throws Exception
{
KeyValPairToHashMap oper = new KeyValPairToHashMap();
CountTestSink mapSink = new CountTestSink();
oper.map.setSink(mapSink);
oper.beginWindow(0);
KeyValPair<String, String> input = new KeyValPair<String, String>("a", "1");
// Same input object can be used as the oper is just pass through
int numtuples = 1000;
for (int i = 0; i < numtuples; i++) {
oper.keyval.process(input);
}
oper.endWindow();
Assert.assertEquals("number emitted tuples", numtuples, mapSink.count);
}
}