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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.skywalking.oap.server.core.analysis.meter.function.sum;
import org.apache.skywalking.oap.server.core.analysis.Layer;
import org.apache.skywalking.oap.server.core.analysis.meter.MeterEntity;
import org.apache.skywalking.oap.server.core.analysis.meter.function.AcceptableValue;
import org.apache.skywalking.oap.server.core.analysis.meter.function.BucketedValues;
import org.apache.skywalking.oap.server.core.analysis.meter.function.PercentileArgument;
import org.apache.skywalking.oap.server.core.analysis.metrics.DataTable;
import org.apache.skywalking.oap.server.core.analysis.metrics.IntList;
import org.apache.skywalking.oap.server.core.config.NamingControl;
import org.apache.skywalking.oap.server.core.config.group.EndpointNameGrouping;
import org.apache.skywalking.oap.server.core.storage.type.HashMapConverter;
import org.apache.skywalking.oap.server.core.storage.type.StorageBuilder;
import org.junit.AfterClass;
import org.junit.Assert;
import org.junit.BeforeClass;
import org.junit.Test;
import java.util.Map;
import static org.junit.Assert.assertEquals;
public class SumHistogramPercentileFunctionTest {
private static final long[] BUCKETS = new long[] {
0,
50,
100,
250
};
private static final int[] RANKS = new int[] {
50,
90
};
@BeforeClass
public static void setup() {
MeterEntity.setNamingControl(
new NamingControl(512, 512, 512, new EndpointNameGrouping()));
}
@AfterClass
public static void tearDown() {
MeterEntity.setNamingControl(null);
}
@Test
public void testFunction() {
PercentileFunctionInst inst = new PercentileFunctionInst();
inst.accept(
MeterEntity.newService("service-test", Layer.GENERAL),
new PercentileArgument(
new BucketedValues(
BUCKETS,
new long[] {
10,
20,
30,
40
}
),
RANKS
)
);
inst.accept(
MeterEntity.newService("service-test", Layer.GENERAL),
new PercentileArgument(
new BucketedValues(
BUCKETS,
new long[] {
10,
20,
30,
40
}
),
RANKS
)
);
inst.calculate();
final int[] values = inst.getValues();
/**
* Expected percentile dataset
* <pre>
* 0 , 20
* 50 , 40
* 100, 50 <- P50
* 250, 80 <- P90
* </pre>
*/
Assert.assertArrayEquals(new int[] {
100,
250
}, values);
}
@Test
public void testSerialization() {
PercentileFunctionInst inst = new PercentileFunctionInst();
inst.accept(
MeterEntity.newService("service-test", Layer.GENERAL),
new PercentileArgument(
new BucketedValues(
BUCKETS,
new long[] {
10,
20,
30,
40
}
),
RANKS
)
);
PercentileFunctionInst inst2 = new PercentileFunctionInst();
inst2.deserialize(inst.serialize().build());
assertEquals(inst, inst2);
assertEquals(inst.getSummation(), inst2.getSummation());
assertEquals(inst.getRanks(), inst2.getRanks());
assertEquals(0, inst2.getPercentileValues().size());
}
@Test
public void testBuilder() throws IllegalAccessException, InstantiationException {
PercentileFunctionInst inst = new PercentileFunctionInst();
inst.accept(
MeterEntity.newService("service-test", Layer.GENERAL),
new PercentileArgument(
new BucketedValues(
BUCKETS,
new long[] {
10,
20,
30,
40
}
),
RANKS
)
);
inst.calculate();
final StorageBuilder storageBuilder = inst.builder().newInstance();
// Simulate the storage layer do, convert the datatable to string.
final HashMapConverter.ToStorage toStorage = new HashMapConverter.ToStorage();
storageBuilder.entity2Storage(inst, toStorage);
final Map<String, Object> map = toStorage.obtain();
map.put(
SumHistogramPercentileFunction.SUMMATION,
((DataTable) map.get(SumHistogramPercentileFunction.SUMMATION)).toStorageData()
);
map.put(
SumHistogramPercentileFunction.VALUE,
((DataTable) map.get(SumHistogramPercentileFunction.VALUE)).toStorageData()
);
map.put(
SumHistogramPercentileFunction.RANKS,
((IntList) map.get(SumHistogramPercentileFunction.RANKS)).toStorageData()
);
final SumHistogramPercentileFunction inst2 = (SumHistogramPercentileFunction) storageBuilder.storage2Entity(
new HashMapConverter.ToEntity(map));
assertEquals(inst, inst2);
// HistogramFunction equal doesn't include dataset.
assertEquals(inst.getPercentileValues(), inst2.getPercentileValues());
assertEquals(inst.getRanks(), inst2.getRanks());
}
@Test
public void testFunctionWhenGroupContainsColon() {
BucketedValues valuesA = new BucketedValues(
BUCKETS,
new long[] {
10,
20,
30,
40
}
);
valuesA.setGroup("localhost:3306/swtest");
PercentileFunctionInst inst = new PercentileFunctionInst();
inst.accept(
MeterEntity.newService("service-test", Layer.GENERAL),
new PercentileArgument(
valuesA,
RANKS
)
);
BucketedValues valuesB = new BucketedValues(
BUCKETS,
new long[] {
10,
20,
30,
40
}
);
valuesB.setGroup("localhost:3306/swtest");
inst.accept(
MeterEntity.newService("service-test", Layer.GENERAL),
new PercentileArgument(
valuesB,
RANKS
)
);
inst.calculate();
final DataTable values = inst.getPercentileValues();
/**
* Expected percentile dataset
* <pre>
* 0 , 20
* 50 , 40
* 100, 60 <- P50
* 250, 80 <- P90
* </pre>
*/
assertEquals(new Long(100), values.get("localhost:3306/swtest:50"));
assertEquals(new Long(250), values.get("localhost:3306/swtest:90"));
}
private static class PercentileFunctionInst extends SumHistogramPercentileFunction {
@Override
public AcceptableValue<PercentileArgument> createNew() {
return new SumHistogramPercentileFunctionTest.PercentileFunctionInst();
}
}
}