/**
* Copyright (C) 2014-2016 LinkedIn Corp. (pinot-core@linkedin.com)
*
* 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.linkedin.pinot.core.startree.hll;
import com.clearspring.analytics.stream.cardinality.HyperLogLog;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;
import org.testng.Assert;
import org.testng.annotations.Test;
import java.util.Random;
public class HllFieldSizeTest {
private static final Logger LOGGER = LoggerFactory.getLogger(HllFieldSizeTest.class);
private Random rand = new Random();
@Test
public void testHllFieldSerializedSize()
throws Exception {
for (int i = 5; i < 10; i++) {
HyperLogLog hll = new HyperLogLog(i);
Assert.assertEquals(HllUtil.getHllFieldSizeFromLog2m(i), hll.getBytes().length);
LOGGER.info("Estimated: " + hll.cardinality());
for (int j = 0; j < 100; j++) {
hll.offer(rand.nextLong());
}
Assert.assertEquals(HllUtil.getHllFieldSizeFromLog2m(i), hll.getBytes().length);
LOGGER.info("Estimated: " + hll.cardinality());
for (int j = 0; j < 9900; j++) {
hll.offer(rand.nextLong());
}
Assert.assertEquals(HllUtil.getHllFieldSizeFromLog2m(i), hll.getBytes().length);
LOGGER.info("Estimated: " + hll.cardinality());
}
}
}