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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.cassandra.db;
import java.nio.ByteBuffer;
import java.util.Arrays;
import java.util.Collection;
import org.junit.Test;
import org.junit.runner.RunWith;
import org.junit.runners.Parameterized;
import org.apache.cassandra.utils.ObjectSizes;
import org.apache.cassandra.utils.concurrent.ImmediateFuture;
import org.apache.cassandra.utils.concurrent.OpOrder;
import org.apache.cassandra.utils.memory.NativePool;
import org.assertj.core.api.Assertions;
@RunWith(Parameterized.class)
public class ClusteringHeapSizeTest
{
private final Clustering<?> clustering;
public ClusteringHeapSizeTest(Clustering<?> clustering)
{
this.clustering = clustering;
}
@Test
public void unsharedHeap()
{
long measureDeep = ObjectSizes.measureDeep(clustering);
long unsharedHeapSize = clustering.unsharedHeapSize();
double allowedDiff = 0.1; // 10% is seen as "close enough"
Assertions.assertThat(unsharedHeapSize)
.describedAs("Real size is %d", measureDeep)
.isBetween((long) (measureDeep * (1 - allowedDiff)), (long) (measureDeep * (1 + allowedDiff)));
}
@Test
public void unsharedHeapSizeExcludingDataLTEUnsharedHeapSize()
{
long max = clustering.unsharedHeapSize();
long min = clustering.unsharedHeapSizeExcludingData();
Assertions.assertThat(min).isLessThanOrEqualTo(max);
}
@Parameterized.Parameters(name = "{0}")
public static Collection<Object[]> data() {
byte[] rawBytes = { 0, 1, 2, 3, 4, 5, 6 };
NativePool pool = new NativePool(1024, 1024, 1, () -> ImmediateFuture.success(true));
OpOrder order = new OpOrder();
ArrayClustering array = ArrayClustering.make(rawBytes);
BufferClustering buffer = BufferClustering.make(ByteBuffer.wrap(rawBytes));
return Arrays.asList(new Object[][] {
{ array },
{ buffer },
{ new NativeClustering(pool.newAllocator(null), order.getCurrent(), array)}
});
}
}