本文主要研究一下NacosNamingService的selectOneHealthyInstance
nacos-1.1.3/client/src/main/java/com/alibaba/nacos/client/naming/NacosNamingService.java
public class NacosNamingService implements NamingService { private static final String DEFAULT_PORT = "8080"; private static final long DEFAULT_HEART_BEAT_INTERVAL = TimeUnit.SECONDS.toMillis(5); /** * Each Naming instance should have different namespace. */ private String namespace; private String endpoint; private String serverList; private String cacheDir; private String logName; private HostReactor hostReactor; private BeatReactor beatReactor; private EventDispatcher eventDispatcher; private NamingProxy serverProxy; //...... @Override public Instance selectOneHealthyInstance(String serviceName) throws NacosException { return selectOneHealthyInstance(serviceName, new ArrayList<String>()); } @Override public Instance selectOneHealthyInstance(String serviceName, String groupName) throws NacosException { return selectOneHealthyInstance(serviceName, groupName, true); } @Override public Instance selectOneHealthyInstance(String serviceName, boolean subscribe) throws NacosException { return selectOneHealthyInstance(serviceName, new ArrayList<String>(), subscribe); } @Override public Instance selectOneHealthyInstance(String serviceName, String groupName, boolean subscribe) throws NacosException { return selectOneHealthyInstance(serviceName, groupName, new ArrayList<String>(), subscribe); } @Override public Instance selectOneHealthyInstance(String serviceName, List<String> clusters) throws NacosException { return selectOneHealthyInstance(serviceName, clusters, true); } @Override public Instance selectOneHealthyInstance(String serviceName, String groupName, List<String> clusters) throws NacosException { return selectOneHealthyInstance(serviceName, groupName, clusters, true); } @Override public Instance selectOneHealthyInstance(String serviceName, List<String> clusters, boolean subscribe) throws NacosException { return selectOneHealthyInstance(serviceName, Constants.DEFAULT_GROUP, clusters, subscribe); } @Override public Instance selectOneHealthyInstance(String serviceName, String groupName, List<String> clusters, boolean subscribe) throws NacosException { if (subscribe) { return Balancer.RandomByWeight.selectHost( hostReactor.getServiceInfo(NamingUtils.getGroupedName(serviceName, groupName), StringUtils.join(clusters, ","))); } else { return Balancer.RandomByWeight.selectHost( hostReactor.getServiceInfoDirectlyFromServer(NamingUtils.getGroupedName(serviceName, groupName), StringUtils.join(clusters, ","))); } } //...... }
nacos-1.1.3/client/src/main/java/com/alibaba/nacos/client/naming/core/Balancer.java
public class Balancer { /** * report status to server */ public final static List<String> UNCONSISTENT_SERVICE_WITH_ADDRESS_SERVER = new CopyOnWriteArrayList<String>(); public static class RandomByWeight { public static List<Instance> selectAll(ServiceInfo serviceInfo) { List<Instance> hosts = serviceInfo.getHosts(); if (CollectionUtils.isEmpty(hosts)) { throw new IllegalStateException("no host to srv for serviceInfo: " + serviceInfo.getName()); } return hosts; } public static Instance selectHost(ServiceInfo dom) { List<Instance> hosts = selectAll(dom); if (CollectionUtils.isEmpty(hosts)) { throw new IllegalStateException("no host to srv for service: " + dom.getName()); } return getHostByRandomWeight(hosts); } } /** * Return one host from the host list by random-weight. * * @param hosts The list of the host. * @return The random-weight result of the host */ protected static Instance getHostByRandomWeight(List<Instance> hosts) { NAMING_LOGGER.debug("entry randomWithWeight"); if (hosts == null || hosts.size() == 0) { NAMING_LOGGER.debug("hosts == null || hosts.size() == 0"); return null; } Chooser<String, Instance> vipChooser = new Chooser<String, Instance>("www.taobao.com"); NAMING_LOGGER.debug("new Chooser"); List<Pair<Instance>> hostsWithWeight = new ArrayList<Pair<Instance>>(); for (Instance host : hosts) { if (host.isHealthy()) { hostsWithWeight.add(new Pair<Instance>(host, host.getWeight())); } } NAMING_LOGGER.debug("for (Host host : hosts)"); vipChooser.refresh(hostsWithWeight); NAMING_LOGGER.debug("vipChooser.refresh"); return vipChooser.randomWithWeight(); } }
nacos-1.1.3/client/src/main/java/com/alibaba/nacos/client/naming/utils/Chooser.java
public class Chooser<K, T> { private K uniqueKey; private volatile Ref<T> ref; public T random() { List<T> items = ref.items; if (items.size() == 0) { return null; } if (items.size() == 1) { return items.get(0); } return items.get(ThreadLocalRandom.current().nextInt(items.size())); } public T randomWithWeight() { Ref<T> ref = this.ref; double random = ThreadLocalRandom.current().nextDouble(0, 1); int index = Arrays.binarySearch(ref.weights, random); if (index < 0) { index = -index - 1; } else { return ref.items.get(index); } if (index >= 0 && index < ref.weights.length) { if (random < ref.weights[index]) { return ref.items.get(index); } } /* This should never happen, but it ensures we will return a correct * object in case there is some floating point inequality problem * wrt the cumulative probabilities. */ return ref.items.get(ref.items.size() - 1); } public Chooser(K uniqueKey) { this(uniqueKey, new ArrayList<Pair<T>>()); } public Chooser(K uniqueKey, List<Pair<T>> pairs) { Ref<T> ref = new Ref<T>(pairs); ref.refresh(); this.uniqueKey = uniqueKey; this.ref = ref; } public K getUniqueKey() { return uniqueKey; } public Ref<T> getRef() { return ref; } public void refresh(List<Pair<T>> itemsWithWeight) { Ref<T> newRef = new Ref<T>(itemsWithWeight); newRef.refresh(); newRef.poller = this.ref.poller.refresh(newRef.items); this.ref = newRef; } //...... }
nacos-1.1.3/client/src/main/java/com/alibaba/nacos/client/naming/utils/Chooser.java
public class Ref<T> { private List<Pair<T>> itemsWithWeight = new ArrayList<Pair<T>>(); private List<T> items = new ArrayList<T>(); private Poller<T> poller = new GenericPoller<T>(items); private double[] weights; @SuppressWarnings("unchecked") public Ref(List<Pair<T>> itemsWithWeight) { this.itemsWithWeight = itemsWithWeight; } public void refresh() { Double originWeightSum = (double) 0; for (Pair<T> item : itemsWithWeight) { double weight = item.weight(); //ignore item which weight is zero.see test_randomWithWeight_weight0 in ChooserTest if (weight <= 0) { continue; } items.add(item.item()); if (Double.isInfinite(weight)) { weight = 10000.0D; } if (Double.isNaN(weight)) { weight = 1.0D; } originWeightSum += weight; } double[] exactWeights = new double[items.size()]; int index = 0; for (Pair<T> item : itemsWithWeight) { double singleWeight = item.weight(); //ignore item which weight is zero.see test_randomWithWeight_weight0 in ChooserTest if (singleWeight <= 0) { continue; } exactWeights[index++] = singleWeight / originWeightSum; } weights = new double[items.size()]; double randomRange = 0D; for (int i = 0; i < index; i++) { weights[i] = randomRange + exactWeights[i]; randomRange += exactWeights[i]; } double doublePrecisionDelta = 0.0001; if (index == 0 || (Math.abs(weights[index - 1] - 1) < doublePrecisionDelta)) { return; } throw new IllegalStateException("Cumulative Weight caculate wrong , the sum of probabilities does not equals 1."); } //...... }