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21负载均衡策略ZoneAvoidanceRule
ZoneAvoidanceRule
ZoneAvoidanceRule:
public class ZoneAvoidanceRule extends PredicateBasedRule {
private static final Random random = new Random();
private CompositePredicate compositePredicate;
public ZoneAvoidanceRule() {
super();
ZoneAvoidancePredicate zonePredicate = new ZoneAvoidancePredicate(this);
AvailabilityPredicate availabilityPredicate = new AvailabilityPredicate(this);
compositePredicate = createCompositePredicate(zonePredicate, availabilityPredicate);
}
private CompositePredicate createCompositePredicate(ZoneAvoidancePredicate p1, AvailabilityPredicate p2) {
return CompositePredicate.withPredicates(p1, p2)
.addFallbackPredicate(p2)
.addFallbackPredicate(AbstractServerPredicate.alwaysTrue())
.build();
}
@Override
public void initWithNiwsConfig(IClientConfig clientConfig) {
ZoneAvoidancePredicate zonePredicate = new ZoneAvoidancePredicate(this, clientConfig);
AvailabilityPredicate availabilityPredicate = new AvailabilityPredicate(this, clientConfig);
compositePredicate = createCompositePredicate(zonePredicate, availabilityPredicate);
}
static Map<String, ZoneSnapshot> createSnapshot(LoadBalancerStats lbStats) {
Map<String, ZoneSnapshot> map = new HashMap<String, ZoneSnapshot>();
for (String zone : lbStats.getAvailableZones()) {
ZoneSnapshot snapshot = lbStats.getZoneSnapshot(zone);
map.put(zone, snapshot);
}
return map;
}
static String randomChooseZone(Map<String, ZoneSnapshot> snapshot,
Set<String> chooseFrom) {
if (chooseFrom == null || chooseFrom.size() == 0) {
return null;
}
String selectedZone = chooseFrom.iterator().next();
if (chooseFrom.size() == 1) {
return selectedZone;
}
int totalServerCount = 0;
for (String zone : chooseFrom) {
totalServerCount += snapshot.get(zone).getInstanceCount();
}
int index = random.nextInt(totalServerCount) + 1;
int sum = 0;
for (String zone : chooseFrom) {
sum += snapshot.get(zone).getInstanceCount();
if (index <= sum) {
selectedZone = zone;
break;
}
}
return selectedZone;
}
public static Set<String> getAvailableZones(
Map<String, ZoneSnapshot> snapshot, double triggeringLoad,
double triggeringBlackoutPercentage) {
if (snapshot.isEmpty()) {
return null;
}
Set<String> availableZones = new HashSet<String>(snapshot.keySet());
if (availableZones.size() == 1) {
return availableZones;
}
Set<String> worstZones = new HashSet<String>();
double maxLoadPerServer = 0;
boolean limitedZoneAvailability = false;
for (Map.Entry<String, ZoneSnapshot> zoneEntry : snapshot.entrySet()) {
String zone = zoneEntry.getKey();
ZoneSnapshot zoneSnapshot = zoneEntry.getValue();
int instanceCount = zoneSnapshot.getInstanceCount();
if (instanceCount == 0) {
availableZones.remove(zone);
limitedZoneAvailability = true;
} else {
double loadPerServer = zoneSnapshot.getLoadPerServer();
if (((double) zoneSnapshot.getCircuitTrippedCount())
/ instanceCount >= triggeringBlackoutPercentage
|| loadPerServer < 0) {
availableZones.remove(zone);
limitedZoneAvailability = true;
} else {
if (Math.abs(loadPerServer - maxLoadPerServer) < 0.000001d) {
// they are the same considering double calculation
// round error
worstZones.add(zone);
} else if (loadPerServer > maxLoadPerServer) {
maxLoadPerServer = loadPerServer;
worstZones.clear();
worstZones.add(zone);
}
}
}
}
if (maxLoadPerServer < triggeringLoad && !limitedZoneAvailability) {
// zone override is not needed here
return availableZones;
}
String zoneToAvoid = randomChooseZone(snapshot, worstZones);
if (zoneToAvoid != null) {
availableZones.remove(zoneToAvoid);
}
return availableZones;
}
public static Set<String> getAvailableZones(LoadBalancerStats lbStats,
double triggeringLoad, double triggeringBlackoutPercentage) {
if (lbStats == null) {
return null;
}
Map<String, ZoneSnapshot> snapshot = createSnapshot(lbStats);
return getAvailableZones(snapshot, triggeringLoad,
triggeringBlackoutPercentage);
}
@Override
public AbstractServerPredicate getPredicate() {
return compositePredicate;
}
}
ZoneAvoidanceRule继承PredicateBasedRule,CompositePredicate为ZoneAvoidancePredicate和AvailabilityPredicate的组合过滤,
CompositePredicate中的getEligibleServers方法:
@Override
public List<Server> getEligibleServers(List<Server> servers, Object loadBalancerKey) {
List<Server> result = super.getEligibleServers(servers, loadBalancerKey);
Iterator<AbstractServerPredicate> i = fallbacks.iterator();
while (!(result.size() >= minimalFilteredServers && result.size() > (int) (servers.size() * minimalFilteredPercentage))
&& i.hasNext()) {
AbstractServerPredicate predicate = i.next();
result = predicate.getEligibleServers(servers, loadBalancerKey);
}
return result;
}
- 使用主过滤条件对所有实例过滤
- 再使用次过滤条件对主过滤条件的结果进行过滤
- 过滤后需要判断总数大于最小过滤实例数,比例大于最小过滤百分比