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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.query.type;
import java.math.BigInteger;
import java.util.ArrayList;
import java.util.Comparator;
import java.util.List;
import lombok.Getter;
import lombok.RequiredArgsConstructor;
import lombok.Setter;
import org.apache.commons.lang3.StringUtils;
import org.apache.skywalking.oap.server.core.analysis.metrics.DataTable;
/**
* HeatMap represents the value distribution in the defined buckets.
*
* @since 8.0.0
*/
@Getter
public class HeatMap {
private List<HeatMapColumn> values = new ArrayList<>(10);
private List<Bucket> buckets = new ArrayList<>();
public void addBucket(Bucket bucket) {
this.buckets.add(bucket);
}
/**
* Build one heatmap value column based on rawdata in the storage and row id.
*
* @param id of the row
* @param rawdata literal string, represent a {@link DataTable}
*/
public void buildColumn(String id, String rawdata, int defaultValue) {
DataTable dataset = new DataTable(rawdata);
final List<String> sortedKeys = dataset.sortedKeys(new KeyComparator(true));
if (buckets.isEmpty()) {
for (int i = 0; i < sortedKeys.size(); i++) {
final Bucket bucket = new Bucket();
final String minValue = sortedKeys.get(i);
if (Bucket.INFINITE_NEGATIVE.equals(minValue)) {
bucket.infiniteMin();
} else {
bucket.setMin(Integer.parseInt(minValue));
}
if (i == sortedKeys.size() - 1) {
// last element
bucket.infiniteMax();
} else {
final String max = sortedKeys.get(i + 1);
if (Bucket.INFINITE_POSITIVE.equals(max)) {
// If reach the infinite positive before the last element, ignore all other.
// Only for fail safe.
bucket.infiniteMax();
break;
} else {
bucket.setMax(Integer.parseInt(max));
}
}
this.addBucket(bucket);
}
}
HeatMap.HeatMapColumn column = new HeatMap.HeatMapColumn();
column.setId(id);
sortedKeys.forEach(key -> {
if (dataset.hasKey(key)) {
column.addValue(dataset.get(key));
} else {
column.addValue((long) defaultValue);
}
});
values.add(column);
}
public void fixMissingColumns(List<String> ids, int defaultValue) {
for (int i = 0; i < ids.size(); i++) {
final String expectedId = ids.get(i);
boolean found = false;
for (final HeatMapColumn value : values) {
if (expectedId.equals(value.id)) {
found = true;
}
}
if (!found) {
final HeatMapColumn emptyColumn = buildMissingColumn(expectedId, defaultValue);
values.add(i, emptyColumn);
}
}
}
private HeatMapColumn buildMissingColumn(String id, int defaultValue) {
HeatMapColumn column = new HeatMapColumn();
column.setId(id);
buckets.forEach(bucket -> {
column.addValue((long) defaultValue);
});
return column;
}
@Getter
public static class HeatMapColumn {
@Setter
private String id;
private List<Long> values = new ArrayList<>();
public void addValue(Long value) {
values.add(value);
}
}
@RequiredArgsConstructor
public static class KeyComparator implements Comparator<String> {
private final boolean asc;
@Override
public int compare(final String k1, final String k2) {
int result;
String[] kk1 = parseKey(k1);
String[] kk2 = parseKey(k2);
result = kk1[0].compareTo(kk2[0]);
if (result != 0) {
return result;
}
final String key1 = kk1[1];
final String key2 = kk2[1];
if (key1.equals(key2)) {
result = 0;
} else if (Bucket.INFINITE_NEGATIVE.equals(key1) || Bucket.INFINITE_POSITIVE.equals(key2)) {
result = -1;
} else if (Bucket.INFINITE_NEGATIVE.equals(key2) || Bucket.INFINITE_POSITIVE.equals(key1)) {
result = 1;
} else {
result = new BigInteger(key1).subtract(new BigInteger(key2)).signum();
}
return asc ? result : -result;
}
private String[] parseKey(String key) {
if (key.contains(":")) {
// split the group and bucket
return new String[] {
StringUtils.substringBeforeLast(key, ":"),
StringUtils.substringAfterLast(key, ":"),
};
}
return new String[] {"default", key};
}
}
}