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/*
* Copyright 2009-2010 by The Regents of the University of 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 from
*
* 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.uci.ics.hyracks.storage.am.lsm.btree.perf;
import java.util.Enumeration;
import java.util.logging.Level;
import java.util.logging.LogManager;
import java.util.logging.Logger;
import edu.uci.ics.hyracks.api.dataflow.value.IBinaryComparatorFactory;
import edu.uci.ics.hyracks.api.dataflow.value.ISerializerDeserializer;
import edu.uci.ics.hyracks.api.dataflow.value.ITypeTraits;
import edu.uci.ics.hyracks.dataflow.common.data.marshalling.IntegerSerializerDeserializer;
import edu.uci.ics.hyracks.dataflow.common.util.SerdeUtils;
import edu.uci.ics.hyracks.storage.am.common.datagen.DataGenThread;
public class PerfExperiment {
public static void main(String[] args) throws Exception {
// Disable logging so we can better see the output times.
Enumeration<String> loggers = LogManager.getLogManager().getLoggerNames();
while(loggers.hasMoreElements()) {
String loggerName = loggers.nextElement();
Logger logger = LogManager.getLogManager().getLogger(loggerName);
logger.setLevel(Level.OFF);
}
int numTuples = 100000; // 100K
//int numTuples = 1000000; // 1M
//int numTuples = 2000000; // 2M
//int numTuples = 3000000; // 3M
//int numTuples = 10000000; // 10M
//int numTuples = 20000000; // 20M
//int numTuples = 30000000; // 30M
//int numTuples = 40000000; // 40M
//int numTuples = 60000000; // 60M
//int numTuples = 100000000; // 100M
//int numTuples = 200000000; // 200M
int batchSize = 10000;
int numBatches = numTuples / batchSize;
ISerializerDeserializer[] fieldSerdes = new ISerializerDeserializer[] { IntegerSerializerDeserializer.INSTANCE };
ITypeTraits[] typeTraits = SerdeUtils.serdesToTypeTraits(fieldSerdes, 30);
IBinaryComparatorFactory[] cmpFactories = SerdeUtils.serdesToComparatorFactories(fieldSerdes, fieldSerdes.length);
//int repeats = 1000;
int repeats = 1;
long[] times = new long[repeats];
int numThreads = 2;
for (int i = 0; i < repeats; i++) {
//ConcurrentSkipListRunner runner = new ConcurrentSkipListRunner(numBatches, batchSize, tupleSize, typeTraits, cmp);
InMemoryBTreeRunner runner = new InMemoryBTreeRunner(numBatches, 8192, 100000, typeTraits, cmpFactories);
//BTreeBulkLoadRunner runner = new BTreeBulkLoadRunner(numBatches, 8192, 100000, typeTraits, cmp, 1.0f);
//BTreeRunner runner = new BTreeRunner(numBatches, 8192, 100000, typeTraits, cmp);
//String btreeName = "071211";
//BTreeSearchRunner runner = new BTreeSearchRunner(btreeName, 10, numBatches, 8192, 25000, typeTraits, cmp);
//LSMTreeRunner runner = new LSMTreeRunner(numBatches, 8192, 100, 8192, 250, typeTraits, cmp);
//LSMTreeSearchRunner runner = new LSMTreeSearchRunner(100000, numBatches, 8192, 24750, 8192, 250, typeTraits, cmp);
DataGenThread dataGen = new DataGenThread(numThreads, numBatches, batchSize, fieldSerdes, 30, 50, 10, false);
dataGen.start();
runner.reset();
times[i] = runner.runExperiment(dataGen, numThreads);
System.out.println("TIME " + i + ": " + times[i] + "ms");
runner.deinit();
}
long avgTime = 0;
for (int i = 0; i < repeats; i++) {
avgTime += times[i];
}
avgTime /= repeats;
System.out.println("AVG TIME: " + avgTime + "ms");
}
}