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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you 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 org.apache.drill.exec.physical.impl.join;
import com.google.common.collect.Maps;
import org.apache.drill.exec.record.RecordBatchSizer;
import org.apache.drill.exec.vector.UInt4Vector;
import org.apache.drill.test.BaseTest;
import org.junit.Assert;
import org.junit.Test;
import java.util.Map;
/**
* This is a test for the more accurate hash table memory calculator {@link HashTableSizeCalculatorLeanImpl}.
*/
public class TestHashTableSizeCalculatorLeanImpl extends BaseTest {
@Test
public void testCalculateHashTableSize() {
final int maxNumRecords = 40;
double loadFactor = .75;
final Map<String, Long> keySizes = Maps.newHashMap();
keySizes.put("a", 3L);
keySizes.put("b", 8L);
// 60 * 4/3 = 80 rounded to nearest power of 2 is 128 buckets
long expected = RecordBatchSizer.multiplyByFactor(
UInt4Vector.VALUE_WIDTH * 128, HashTableSizeCalculatorConservativeImpl.HASHTABLE_DOUBLING_FACTOR);
// First bucket key value vector sizes
expected += BatchSizePredictorImpl.computeValueVectorSize(maxNumRecords, 3L);
expected += BatchSizePredictorImpl.computeValueVectorSize(maxNumRecords, 8L);
// Second bucket key value vector sizes
expected += BatchSizePredictorImpl.computeValueVectorSize(20, 3L);
expected += RecordBatchSizer.multiplyByFactor(
BatchSizePredictorImpl.computeValueVectorSize(20, 8L), HashTableSizeCalculatorConservativeImpl.HASHTABLE_DOUBLING_FACTOR);
// Overhead vectors for links and hash values for each batchHolder
expected += 2 * UInt4Vector.VALUE_WIDTH // links and hash values */
* 2 * maxNumRecords; // num batch holders
PartitionStatImpl partitionStat = new PartitionStatImpl();
partitionStat.add(
new HashJoinMemoryCalculator.BatchStat(maxNumRecords + 20, 1));
final HashTableSizeCalculatorLeanImpl calc = new HashTableSizeCalculatorLeanImpl(maxNumRecords, HashTableSizeCalculatorConservativeImpl.HASHTABLE_DOUBLING_FACTOR);
long actual = calc.calculateSize(partitionStat, keySizes, loadFactor, 1.0, 1.0);
Assert.assertEquals(expected, actual);
}
}