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/*
 * Copyright 2015-2018 the original author or authors
 *
 * This software is licensed under the Apache License, Version 2.0,
 * the GNU Lesser General Public License version 2 or later ("LGPL")
 * and the WTFPL.
 * You may choose either license to govern your use of this software only
 * upon the condition that you accept all of the terms of either
 * the Apache License 2.0, the LGPL 2.1+ or the WTFPL.
 */
package org.minidns.util;

import java.util.ArrayList;
import java.util.Collection;
import java.util.Collections;
import java.util.LinkedList;
import java.util.List;
import java.util.SortedMap;
import java.util.TreeMap;

import org.minidns.dnsname.DnsName;
import org.minidns.record.SRV;

public class SrvUtil {

    /**
     * Sort the given collection of {@link SRV} resource records by their priority and weight.
     * 

* Sorting by priority is easy. Sorting the buckets of SRV records with the same priority by weight requires to choose those records * randomly but taking the weight into account. *

* * @param srvRecords * a collection of SRV records. * @return a sorted list of the given records. */ public static List sortSrvRecords(Collection srvRecords) { // RFC 2782, Usage rules: "If there is precisely one SRV RR, and its Target is "." // (the root domain), abort." if (srvRecords.size() == 1 && srvRecords.iterator().next().target.equals(DnsName.ROOT)) { return Collections.emptyList(); } // Create the priority buckets. SortedMap> buckets = new TreeMap<>(); for (SRV srvRecord : srvRecords) { Integer priority = srvRecord.priority; List bucket = buckets.get(priority); if (bucket == null) { bucket = new LinkedList<>(); buckets.put(priority, bucket); } bucket.add(srvRecord); } List sortedSrvRecords = new ArrayList<>(srvRecords.size()); for (List bucket : buckets.values()) { // The list of buckets will be sorted by priority, thanks to SortedMap. We now have determine the order of // the SRV records with the same priority, i.e., within the same bucket, by their weight. This is done by // creating an array 'totals' which reflects the percentage of the SRV RRs weight by the total weight of all // SRV RRs in the bucket. For every entry in the bucket, we choose one using a random number and the sum of // all weights left in the bucket. We then select RRs position based on the according index of the selected // value in the 'total' array. This ensures that its weight is taken into account. int bucketSize; while ((bucketSize = bucket.size()) > 0) { int totals[] = new int[bucketSize]; int zeroWeight = 1; for (SRV srv : bucket) { if (srv.weight > 0) { zeroWeight = 0; break; } } int bucketWeightSum = 0, count = 0; for (SRV srv : bucket) { bucketWeightSum += (srv.weight + zeroWeight); totals[count++] = bucketWeightSum; } int selectedPosition; if (bucketWeightSum == 0) { // If total priority is 0, then the sum of all weights in this priority bucket is 0. So we simply // select one of the weights randomly as the other algorithm performed in the else block is unable // to handle this case. selectedPosition = (int) (Math.random() * bucketSize); } else { double rnd = Math.random() * bucketWeightSum; selectedPosition = bisect(totals, rnd); } SRV choosenSrvRecord = bucket.remove(selectedPosition); sortedSrvRecords.add(choosenSrvRecord); } } return sortedSrvRecords; } // TODO This is not yet really bisection just a stupid linear search. private static int bisect(int[] array, double value) { int pos = 0; for (int element : array) { if (value < element) break; pos++; } return pos; } }




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