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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 BTreePageSizePerf {
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 = 1000000;
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);
runExperiment(numBatches, batchSize, 1024, 100000, fieldSerdes, cmpFactories, typeTraits);
runExperiment(numBatches, batchSize, 2048, 100000, fieldSerdes, cmpFactories, typeTraits);
runExperiment(numBatches, batchSize, 4096, 25000, fieldSerdes, cmpFactories, typeTraits);
runExperiment(numBatches, batchSize, 8192, 12500, fieldSerdes, cmpFactories, typeTraits);
runExperiment(numBatches, batchSize, 16384, 6250, fieldSerdes, cmpFactories, typeTraits);
runExperiment(numBatches, batchSize, 32768, 3125, fieldSerdes, cmpFactories, typeTraits);
runExperiment(numBatches, batchSize, 65536, 1564, fieldSerdes, cmpFactories, typeTraits);
runExperiment(numBatches, batchSize, 131072, 782, fieldSerdes, cmpFactories, typeTraits);
runExperiment(numBatches, batchSize, 262144, 391, fieldSerdes, cmpFactories, typeTraits);
}
private static void runExperiment(int numBatches, int batchSize, int pageSize, int numPages, ISerializerDeserializer[] fieldSerdes, IBinaryComparatorFactory[] cmpFactories, ITypeTraits[] typeTraits) throws Exception {
System.out.println("PAGE SIZE: " + pageSize);
System.out.println("NUM PAGES: " + numPages);
System.out.println("MEMORY: " + (pageSize * numPages));
int repeats = 5;
long[] times = new long[repeats];
//BTreeRunner runner = new BTreeRunner(numTuples, pageSize, numPages, typeTraits, cmp);
InMemoryBTreeRunner runner = new InMemoryBTreeRunner(numBatches, pageSize, numPages, typeTraits, cmpFactories);
runner.init();
int numThreads = 1;
for (int i = 0; i < repeats; i++) {
DataGenThread dataGen = new DataGenThread(numThreads, numBatches, batchSize, fieldSerdes, 30, 50, 10, false);
dataGen.start();
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");
System.out.println("-------------------------------");
}
}