/** * 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()); } } }