com.hazelcast.simulator.tests.map.PagingPredicateTest Maven / Gradle / Ivy
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* Copyright (c) 2008-2016, Hazelcast, 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.
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* http://www.apache.org/licenses/LICENSE-2.0
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* See the License for the specific language governing permissions and
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package com.hazelcast.simulator.tests.map;
import com.hazelcast.core.IMap;
import com.hazelcast.query.PagingPredicate;
import com.hazelcast.query.SqlPredicate;
import com.hazelcast.simulator.test.AbstractTest;
import com.hazelcast.simulator.test.annotations.RunWithWorker;
import com.hazelcast.simulator.test.annotations.Setup;
import com.hazelcast.simulator.test.annotations.Warmup;
import com.hazelcast.simulator.tests.map.helpers.Employee;
import com.hazelcast.simulator.worker.loadsupport.Streamer;
import com.hazelcast.simulator.worker.loadsupport.StreamerFactory;
import com.hazelcast.simulator.worker.tasks.AbstractMonotonicWorker;
import com.hazelcast.simulator.worker.tasks.IWorker;
/**
* Test to exercising PagingPredicate.
* It's intended to be used for benchmarking purposes, it doesn't validate correctness of results.
*
* It has 2 working modes:
*
* - Sequential Mode - where workers are paging in a sequential orders. Ie. Page1, Page2, PageN, PageN+1, etc
* - Random Mode - where workers are selecting arbitrary pages
*
*
* Implementation note: There is a small code duplication in worker implementations - it could be eliminated by
* introducing a common superclass, but I believe it would just make things more complicated.
*/
public class PagingPredicateTest extends AbstractTest {
// this is rather high number, make sure you have enough heap space, e.g. with JVM option -Xmx20g
public int keyCount = 10000000;
public boolean useIndex;
public int pageSize = 10000;
public String innerPredicateQuery = "salary < 900";
public int maxPage = (int) (((float) keyCount / pageSize) * 0.9);
public int maxPredicateReuseCount = 100;
public boolean sequentialWorker = true;
private IMap map;
private SqlPredicate innerPredicate;
@Setup
public void setUp() {
map = targetInstance.getMap(name);
innerPredicate = new SqlPredicate(innerPredicateQuery);
}
@Warmup(global = true)
public void globalWarmup() {
if (useIndex) {
map.addIndex("salary", true);
}
Streamer streamer = StreamerFactory.getInstance(map);
for (int i = 0; i < keyCount; i++) {
Employee employee = new Employee(i);
streamer.pushEntry(employee.getId(), employee);
}
streamer.await();
}
@RunWithWorker
public IWorker createWorker() {
return sequentialWorker ? new SequentialWorker() : new ArbitraryWorker();
}
private class SequentialWorker extends BaseWorker {
@Override
protected void timeStep() throws Exception {
createNewPredicateIfNeeded();
evaluatePredicate();
predicate.nextPage();
}
}
private class ArbitraryWorker extends BaseWorker {
ArbitraryWorker() {
predicate = createNewPredicate();
}
@Override
protected void timeStep() throws Exception {
createNewPredicateIfNeeded();
goToRandomPage();
evaluatePredicate();
}
private PagingPredicate createNewPredicate() {
return new PagingPredicate(pageSize);
}
private void goToRandomPage() {
int pageNumber = randomInt(maxPage);
predicate.setPage(pageNumber);
}
}
private abstract class BaseWorker extends AbstractMonotonicWorker {
protected PagingPredicate predicate = createNewPredicate();
private int predicateReusedCount;
protected void createNewPredicateIfNeeded() {
if (predicateReusedCount == maxPredicateReuseCount) {
predicate = createNewPredicate();
predicateReusedCount = 0;
}
}
protected void evaluatePredicate() {
map.entrySet(predicate);
predicateReusedCount++;
}
private PagingPredicate createNewPredicate() {
return new PagingPredicate(innerPredicate, pageSize);
}
}
}
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