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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 org.apache.apex.malhar.lib.testbench;
import java.util.HashMap;
import org.junit.Assert;
import org.junit.Test;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import com.datatorrent.api.Sink;
/**
* Functional test for {@link org.apache.apex.malhar.lib.testbench.SeedEventClassifier}<br>
*/
public class SeedEventClassifierTest
{
private static Logger LOG = LoggerFactory.getLogger(SeedEventClassifierTest.class);
@SuppressWarnings("rawtypes")
class StringSink implements Sink
{
HashMap<String, String> collectedTuples = new HashMap<String, String>();
int count = 0;
@Override
public void put(Object tuple)
{
collectedTuples.put((String)tuple, null);
count++;
}
@Override
public int getCount(boolean reset)
{
throw new UnsupportedOperationException("Not supported yet.");
}
}
@SuppressWarnings("rawtypes")
class HashSink implements Sink
{
HashMap<HashMap<String, HashMap<String, Integer>>, String> collectedTuples = new HashMap<HashMap<String, HashMap<String, Integer>>, String>();
int count = 0;
@SuppressWarnings("unchecked")
@Override
public void put(Object tuple)
{
collectedTuples.put((HashMap<String, HashMap<String, Integer>>)tuple, null);
count++;
}
@Override
public int getCount(boolean reset)
{
throw new UnsupportedOperationException("Not supported yet.");
}
}
/**
* Test oper logic emits correct results
*/
@Test
public void testNodeProcessing() throws Exception
{
testSchemaNodeProcessing(true); // 5.9 million/sec
testSchemaNodeProcessing(false); // 4.4 million/sec
}
/**
* Test oper logic emits correct results
*/
@SuppressWarnings({ "rawtypes", "unchecked" })
public void testSchemaNodeProcessing(boolean isstring) throws Exception
{
final SeedEventClassifier oper = new SeedEventClassifier();
StringSink classifySink = new StringSink();
HashSink hashSink = new HashSink();
Sink inSink1 = oper.data1.getSink();
Sink inSink2 = oper.data2.getSink();
if (isstring) {
oper.string_data.setSink(classifySink);
} else {
oper.hash_data.setSink(hashSink);
}
oper.setKey1("x");
oper.setKey2("y");
oper.setSeedstart(0);
oper.setSeedend(1000);
oper.setup(null);
oper.beginWindow(0);
int numTuples = 1000;
if (isstring) {
String input;
for (int j = 0; j < 5; j++) {
for (int i = 0; i < numTuples; i++) {
input = Integer.toString(i);
inSink1.put(input);
inSink2.put(input);
}
}
} else {
Integer input;
for (int j = 0; j < 5; j++) {
for (int i = 0; i < numTuples; i++) {
input = i;
inSink1.put(input);
inSink2.put(input);
}
}
}
oper.endWindow();
if (isstring) {
Assert.assertEquals("number emitted tuples", numTuples * 2 * 5, classifySink.count);
LOG.debug(String.format("\n********************\nProcessed %d tuples with %d uniques\n********************\n",
classifySink.count,
classifySink.collectedTuples.size()));
} else {
Assert.assertEquals("number emitted tuples", numTuples * 2 * 5, hashSink.count);
LOG.debug(String.format("\n********************\nProcessed %d tuples with %d uniques\n********************\n",
hashSink.count,
hashSink.collectedTuples.size()));
}
}
}