ES作用超强悍的搜索引擎，除了需要具有齐全的功能支持，超高的性能，还必须要有任意扩展的能力。一定程度上，它是一个大数据产品。而要做扩展性，集群自然少不了。然而单独的集群又是不够的，能够做的事情太少，所以它需要自己组件合适的集群。也就是服务需要自动发现，自动协调集群实例。当然，这只是扩展性的第一步。
那么，ES是如何做到集群间的自动发现的呢？本文就一起来探索探索吧。
0. 前情提要
虽然我们想探究的是es的不用配置就可以自动发现的实现原理，但是当你去看新的es的实现时，会惊奇地发现，它已经不再支持这种功能了。即新版本的es不再支持隐式集群发现了，实际上这个功能是在5.0之后取消掉了。
至于为什么会取消该功能，我想可能和可靠性有比较大的关系。当然，这个问题我们抛却不说，只管从理论上来讨论讨论这事即可。
es的2.1版本中，还有相应的集群自动发现功能，我们就以这为参考吧。事实上，在这些已经有实现的版本中，它也只是作为一个插件式存在，即后续版本不再支持，仅是没有发布该插件而已。
而核心原理，自然是多播或者广播。
1. 自动发现原理概述
其实平时我们会遇到很多自动发现服务的场景，比如RPC的调用，MQ消息的分发，docker的集群管理。。。
所以，自动发现几乎是一个平常的应用场景，那么，一般它都是是怎么解决的呢？通常，就是有一个注册中心，然后各组件启动后，将自身注册到注册中心，然后由注册中心将消息同步给到使用方，从而让使用方感知这一变化，从而完成自动发现。这几乎是一个通用的解决办法，也很容易理解。
但注册中心会引入一个额外的服务，如果不想带这额外的服务，则可能需要各节点间自行协调，或者说让各自节点都成为可能的注册中心。
注册中心，确实是充当了自动发现的角色，然而如何处理发现之后的步骤，则是各具体应用具体分析的了。所以，除了注册中心这么一个邮递员之外，还必须上下游的配合。
做自动发现的初衷，一是为了能够随时扩容，还有一定程度上的高可用。所以，通常注册中本身就不能成为单点。当然，一般的这种组件都是集群高可用的。为场景而生嘛！
还有就是本文标题所说，使用多播实现动发现。具体原理原理如何，且看下文分解。
2. es集群配置样例
es的配置还是比较简化的，绝大部分都是默认值，只做一些简单的配置即可。甚至对于单机的部署，下载下来什么都不用改，立即就可以运行了。下面我们看两个简单的集群配置样例：（elasticsearch.yml）
# 多播配置下，节点向集群发送多播请求，其他节点收到请求后会做出响应。配置参数如下：
discovery.zen.ping.multicast.group:224.5.6.7
# 端口
discovery.zen.ping.multicast.port:1234
# 广播消息ttl
discovery.zen.ping.multicast.ttl:3
# 绑定的地址，null表示绑定所有可用的网络接口
discovery.zen.ping.multicast.address:null
# 多播自动发现禁用开关
discovery.zen.ping.multicast.enabled:true
# master 节点数配置
discovery.zen.minimum_master_nodes: 2
discovery.zen.ping_timeout: 3s # 单播配置下，节点向指定的主机发送单播请求，配置如下, 使用单播时可以将多播配置禁用
discovery.zen.ping.multicast.enabled:false
discovery.zen.ping.unicast.hosts: ["172.16.0.2:9300","172.16.0.3:9300","172.16.0.5:9300"]
稍微完整点的配置文件：（供参考）
cluster.name: elasticsearch
# 配置es的集群名称，默认是elasticsearch，es会自动发现在同一网段下的es，如果在同一网段下有多个集群，就可以用这个属性来区分不同的集群。
node.name: "node1"
# 节点名，默认随机指定一个name列表中名字，该列表在es的jar包中config文件夹里name.txt文件中，其中有很多作者添加的有趣名字。
node.master: true
# 指定该节点是否有资格被选举成为node，默认是true，es是默认集群中的第一台机器为master，如果这台机挂了就会重新选举master。
node.data: true
# 指定该节点是否存储索引数据，默认为true。
# index.number_of_shards: 5
# 设置默认索引分片个数，默认为5片。
# index.number_of_replicas: 1
# 设置默认索引副本个数，默认为1个副本。
# path.conf: /path/to/conf
# 设置配置文件的存储路径，默认是es根目录下的config文件夹。
# path.data: /path/to/data
# 设置索引数据的存储路径，默认是es根目录下的data文件夹，可以设置多个存储路径，用逗号隔开，例：
# path.data: /path/to/data1,/path/to/data2
# path.work: /path/to/work
# 设置临时文件的存储路径，默认是es根目录下的work文件夹。
# path.logs: /path/to/logs
# 设置日志文件的存储路径，默认是es根目录下的logs文件夹
# path.plugins: /path/to/plugins
# 设置插件的存放路径，默认是es根目录下的plugins文件夹
# bootstrap.mlockall: true
# bootstrap.memory_lock: true
# bootstrap.system_call_filter: false
# 设置为true来锁住内存。因为当jvm开始swapping时es的效率会降低，所以要保证它不swap，可以把ES_MIN_MEM和 ES_MAX_MEM两个环境变量设置成同一个值，并且保证机器有足够的内存分配给es。同时也要允许elasticsearch的进程可以锁住内存，linux下可以通过`ulimit -l unlimited`命令。
# network.bind_host: 0.0.0.0
# 设置绑定的ip地址，可以是ipv4或ipv6的，默认为0.0.0.0。
# network.publish_host: 192.168.0.1
# 设置其它节点和该节点交互的ip地址，如果不设置它会自动判断，值必须是个真实的ip地址。
# network.host: 192.168.0.1
# 这个参数是用来同时设置bind_host和publish_host上面两个参数。
# transport.tcp.port: 9300
# 设置节点间交互的tcp端口，默认是9300。
# transport.tcp.compress: true
# 设置是否压缩tcp传输时的数据，默认为false，不压缩。
# http.port: 9200
# 设置对外服务的http端口，默认为9200。
# http.max_content_length: 100mb
# 设置内容的最大容量，默认100mb
# http.enabled: false
# 是否使用http协议对外提供服务，默认为true，开启。
# gateway.type: local
# gateway的类型，默认为local即为本地文件系统，可以设置为本地文件系统，分布式文件系统，Hadoop的HDFS，和amazon的s3服务器。
# gateway.recover_after_nodes: 1
# 设置集群中N个节点启动时进行数据恢复，默认为1。
# gateway.recover_after_time: 5m
# 设置初始化数据恢复进程的超时时间，默认是5分钟。
# gateway.expected_nodes: 2
# 设置这个集群中节点的数量，默认为2，一旦这N个节点启动，就会立即进行数据恢复。
# cluster.routing.allocation.node_initial_primaries_recoveries: 4
# 初始化数据恢复时，并发恢复线程的个数，默认为4。
# cluster.routing.allocation.node_concurrent_recoveries: 2
# 添加删除节点或负载均衡时并发恢复线程的个数，默认为4。
# indices.recovery.max_size_per_sec: 0
# 设置数据恢复时限制的带宽，如入100mb，默认为0，即无限制。
# indices.recovery.concurrent_streams: 5
# 设置这个参数来限制从其它分片恢复数据时最大同时打开并发流的个数，默认为5。
# discovery.zen.minimum_master_nodes: 1
# 设置这个参数来保证集群中的节点可以知道其它N个有master资格的节点。默认为1，对于大的集群来说，可以设置大一点的值（2-4）
# discovery.zen.ping.timeout: 3s
# 设置集群中自动发现其它节点时ping连接超时时间，默认为3秒，对于比较差的网络环境可以高点的值来防止自动发现时出错。
# discovery.zen.ping.multicast.enabled: false
# #设置是否打开多播发现节点，默认是true。
# discovery.zen.ping.unicast.hosts: ["host1", "host2:port", "host3[portX-portY]"]
#设置集群中master节点的初始列表，可以通过这些节点来自动发现新加入集群的节点。
#下面是一些查询时的慢日志参数设置
# index.search.slowlog.level: TRACE
# index.search.slowlog.threshold.query.warn: 10s
# index.search.slowlog.threshold.query.info: 5s
# index.search.slowlog.threshold.query.debug: 2s
# index.search.slowlog.threshold.query.trace: 500ms
# index.search.slowlog.threshold.fetch.warn: 1s
# index.search.slowlog.threshold.fetch.info: 800ms
# index.search.slowlog.threshold.fetch.debug:500ms
# index.search.slowlog.threshold.fetch
总之，要简单配置很容易。以上，就可以进行es集群部署了。也就是说已经可以自动发现了，尤其是对于多播的自动发现，你都不用配置。就可以了，即只要名字相同就会被组成同一个集群了，是不是很神奇。
3. ES服务发现实现
本次讨论仅为multicast广播版本的实现，不含其他。
它是以plugin形式接入的，以 discovery.zen.ping.multicast.enabled 作为开关。
// org.elasticsearch.plugin.discovery.multicast.MulticastDiscoveryPlugin
public class MulticastDiscoveryPlugin extends Plugin { private final Settings settings; public MulticastDiscoveryPlugin(Settings settings) {
this.settings = settings;
} @Override
public String name() {
return "discovery-multicast";
} @Override
public String description() {
return "Multicast Discovery Plugin";
} public void onModule(DiscoveryModule module) {
// 只有将开关打开，才会进行多播发现模块的接入
if (settings.getAsBoolean("discovery.zen.ping.multicast.enabled", false)) {
module.addZenPing(MulticastZenPing.class);
}
}
}
所以，所有广播实现相关的东西，就落到了MulticastZenPing的身上了。从构造中方法，我们就可以看到，具体支持的配置参数都有哪些，以默认值如何？
// org.elasticsearch.plugin.discovery.multicast.MulticastZenPing
public MulticastZenPing(ThreadPool threadPool, TransportService transportService, ClusterName clusterName, Version version) {
this(EMPTY_SETTINGS, threadPool, transportService, clusterName, new NetworkService(EMPTY_SETTINGS), version);
} @Inject
public MulticastZenPing(Settings settings, ThreadPool threadPool, TransportService transportService, ClusterName clusterName, NetworkService networkService, Version version) {
super(settings);
this.threadPool = threadPool;
this.transportService = transportService;
this.clusterName = clusterName;
this.networkService = networkService;
this.version = version;
// 广播配置参数读取，及默认值
this.address = this.settings.get("discovery.zen.ping.multicast.address");
this.port = this.settings.getAsInt("discovery.zen.ping.multicast.port", 54328);
this.group = this.settings.get("discovery.zen.ping.multicast.group", "224.2.2.4");
this.bufferSize = this.settings.getAsInt("discovery.zen.ping.multicast.buffer_size", 2048);
this.ttl = this.settings.getAsInt("discovery.zen.ping.multicast.ttl", 3); this.pingEnabled = this.settings.getAsBoolean("discovery.zen.ping.multicast.ping.enabled", true); logger.debug("using group [{}], with port [{}], ttl [{}], and address [{}]", group, port, ttl, address);
// 注册业务处理器 MulticastPingResponseRequestHandler 处理 "internal:discovery/zen/multicast" 请求
this.transportService.registerRequestHandler(ACTION_NAME, MulticastPingResponse.class, ThreadPool.Names.SAME, new MulticastPingResponseRequestHandler());
}
构造实例完成后，等待后续的ES进程的start调用。此时，才会进行广播channel的创建，即广播监听与发送。
// org.elasticsearch.plugin.discovery.multicast.MulticastZenPing.doStart
@Override
protected void doStart() {
try {
// we know OSX has bugs in the JVM when creating multiple instances of multicast sockets
// causing for "socket close" exceptions when receive and/or crashes
boolean shared = settings.getAsBoolean("discovery.zen.ping.multicast.shared", Constants.MAC_OS_X);
// OSX does not correctly send multicasts FROM the right interface
boolean deferToInterface = settings.getAsBoolean("discovery.zen.ping.multicast.defer_group_to_set_interface", Constants.MAC_OS_X);
// 调用本模块的channel工具类，channel相关的操作都由其统一实现
multicastChannel = MulticastChannel.getChannel(nodeName(), shared,
new MulticastChannel.Config(port, group, bufferSize, ttl,
// don't use publish address, the use case for that is e.g. a firewall or proxy and
// may not even be bound to an interface on this machine! use the first bound address.
networkService.resolveBindHostAddress(address)[0],
deferToInterface),
new Receiver());
} catch (Throwable t) {
String msg = "multicast failed to start [{}], disabling. Consider using IPv4 only (by defining env. variable `ES_USE_IPV4`)";
if (logger.isDebugEnabled()) {
logger.debug(msg, t, ExceptionsHelper.detailedMessage(t));
} else {
logger.info(msg, ExceptionsHelper.detailedMessage(t));
}
}
} // multicast.MulticastChannel.getChannel
/**
* Builds a channel based on the provided config, allowing to control if sharing a channel that uses
* the same config is allowed or not.
*/
public static MulticastChannel getChannel(String name, boolean shared, Config config, Listener listener) throws Exception {
if (!shared) {
return new Plain(listener, name, config);
}
return Shared.getSharedChannel(listener, config);
} // 以简版实现看过程
/**
* Simple implementation of a channel.
*/
@SuppressForbidden(reason = "I bind to wildcard addresses. I am a total nightmare")
private static class Plain extends MulticastChannel {
private final ESLogger logger;
private final Config config; private volatile MulticastSocket multicastSocket;
private final DatagramPacket datagramPacketSend;
private final DatagramPacket datagramPacketReceive; private final Object sendMutex = new Object();
private final Object receiveMutex = new Object(); private final Receiver receiver;
private final Thread receiverThread; Plain(Listener listener, String name, Config config) throws Exception {
super(listener);
this.logger = ESLoggerFactory.getLogger(name);
this.config = config;
this.datagramPacketReceive = new DatagramPacket(new byte[config.bufferSize], config.bufferSize);
this.datagramPacketSend = new DatagramPacket(new byte[config.bufferSize], config.bufferSize, InetAddress.getByName(config.group), config.port);
// 通过multcastSocket 完成广播功能
this.multicastSocket = buildMulticastSocket(config);
this.receiver = new Receiver();
this.receiverThread = daemonThreadFactory(Settings.builder().put("name", name).build(), "discovery#multicast#receiver").newThread(receiver);
this.receiverThread.start();
} private MulticastSocket buildMulticastSocket(Config config) throws Exception {
SocketAddress addr = new InetSocketAddress(InetAddress.getByName(config.group), config.port);
MulticastSocket multicastSocket = new MulticastSocket(config.port);
try {
multicastSocket.setTimeToLive(config.ttl);
// OSX is not smart enough to tell that a socket bound to the
// 'lo0' interface needs to make sure to send the UDP packet
// out of the lo0 interface, so we need to do some special
// workarounds to fix it.
if (config.deferToInterface) {
// 'null' here tells the socket to deter to the interface set
// with .setInterface
multicastSocket.joinGroup(addr, null);
multicastSocket.setInterface(config.multicastInterface);
} else {
multicastSocket.setInterface(config.multicastInterface);
multicastSocket.joinGroup(InetAddress.getByName(config.group));
}
multicastSocket.setReceiveBufferSize(config.bufferSize);
multicastSocket.setSendBufferSize(config.bufferSize);
multicastSocket.setSoTimeout(60000);
} catch (Throwable e) {
IOUtils.closeWhileHandlingException(multicastSocket);
throw e;
}
return multicastSocket;
} public Config getConfig() {
return this.config;
}
// 发送广播消息
@Override
public void send(BytesReference data) throws Exception {
synchronized (sendMutex) {
datagramPacketSend.setData(data.toBytes());
multicastSocket.send(datagramPacketSend);
}
} @Override
protected void close(Listener listener) {
receiver.stop();
receiverThread.interrupt();
if (multicastSocket != null) {
IOUtils.closeWhileHandlingException(multicastSocket);
multicastSocket = null;
}
try {
receiverThread.join(10000);
} catch (InterruptedException e) {
Thread.currentThread().interrupt();
}
}
// 接收广播消息
private class Receiver implements Runnable { private volatile boolean running = true; public void stop() {
running = false;
} @Override
public void run() {
while (running) {
try {
synchronized (receiveMutex) {
try {
multicastSocket.receive(datagramPacketReceive);
} catch (SocketTimeoutException ignore) {
continue;
} catch (Exception e) {
if (running) {
if (multicastSocket.isClosed()) {
logger.warn("multicast socket closed while running, restarting...");
multicastSocket = buildMulticastSocket(config);
} else {
logger.warn("failed to receive packet, throttling...", e);
Thread.sleep(500);
}
}
continue;
}
}
// 接收到消息后，监听者进行业务处理
if (datagramPacketReceive.getData().length > 0) {
listener.onMessage(new BytesArray(datagramPacketReceive.getData()), datagramPacketReceive.getSocketAddress());
}
} catch (Throwable e) {
if (running) {
logger.warn("unexpected exception in multicast receiver", e);
}
}
}
}
}
}
可以看到，广播消息的实现，是基于java的MulticastSocket进行实现的，也可以看到它是基于udp的，即可靠性并不保证。通过一个死等接收广播消息的receiver线程，实现广播消息的监听，并最终通过listener进行消息的业务处理。所以，广播是框架，而业务核心则是监听者listener的实现了。
而这里的listener则是通过在 MulticastZenPing 中实现的 Receiver 完成的。
// multicast.MulticastZenPing.Receiver
private class Receiver implements MulticastChannel.Listener {
// 广播消息处理入口
@Override
public void onMessage(BytesReference data, SocketAddress address) {
int id = -1;
DiscoveryNode requestingNodeX = null;
ClusterName clusterName = null; Map<String, Object> externalPingData = null;
XContentType xContentType = null; try {
boolean internal = false;
if (data.length() > 4) {
int counter = 0;
for (; counter < INTERNAL_HEADER.length; counter++) {
if (data.get(counter) != INTERNAL_HEADER[counter]) {
break;
}
}
if (counter == INTERNAL_HEADER.length) {
internal = true;
}
}
if (internal) {
StreamInput input = StreamInput.wrap(new BytesArray(data.toBytes(), INTERNAL_HEADER.length, data.length() - INTERNAL_HEADER.length));
Version version = Version.readVersion(input);
input.setVersion(version);
id = input.readInt();
clusterName = ClusterName.readClusterName(input);
requestingNodeX = readNode(input);
} else {
xContentType = XContentFactory.xContentType(data);
if (xContentType != null) {
// an external ping
try (XContentParser parser = XContentFactory.xContent(xContentType).createParser(data)) {
externalPingData = parser.map();
}
} else {
throw new IllegalStateException("failed multicast message, probably message from previous version");
}
}
if (externalPingData != null) {
handleExternalPingRequest(externalPingData, xContentType, address);
} else {
handleNodePingRequest(id, requestingNodeX, clusterName);
}
} catch (Exception e) {
if (!lifecycle.started() || (e instanceof EsRejectedExecutionException)) {
logger.debug("failed to read requesting data from {}", e, address);
} else {
logger.warn("failed to read requesting data from {}", e, address);
}
}
} @SuppressWarnings("unchecked")
private void handleExternalPingRequest(Map<String, Object> externalPingData, XContentType contentType, SocketAddress remoteAddress) {
if (externalPingData.containsKey("response")) {
// ignoring responses sent over the multicast channel
logger.trace("got an external ping response (ignoring) from {}, content {}", remoteAddress, externalPingData);
return;
} if (multicastChannel == null) {
logger.debug("can't send ping response, no socket, from {}, content {}", remoteAddress, externalPingData);
return;
} Map<String, Object> request = (Map<String, Object>) externalPingData.get("request");
if (request == null) {
logger.warn("malformed external ping request, no 'request' element from {}, content {}", remoteAddress, externalPingData);
return;
}
// 读取广播方的 cluster_name, 如果相同则认为是同一个集群
final String requestClusterName = request.containsKey("cluster_name") ? request.get("cluster_name").toString() : request.containsKey("clusterName") ? request.get("clusterName").toString() : null;
if (requestClusterName == null) {
logger.warn("malformed external ping request, missing 'cluster_name' element within request, from {}, content {}", remoteAddress, externalPingData);
return;
} if (!requestClusterName.equals(clusterName.value())) {
logger.trace("got request for cluster_name {}, but our cluster_name is {}, from {}, content {}",
requestClusterName, clusterName.value(), remoteAddress, externalPingData);
return;
}
if (logger.isTraceEnabled()) {
logger.trace("got external ping request from {}, content {}", remoteAddress, externalPingData);
} try {
DiscoveryNode localNode = contextProvider.nodes().localNode(); XContentBuilder builder = XContentFactory.contentBuilder(contentType);
builder.startObject().startObject("response");
builder.field("cluster_name", clusterName.value());
builder.startObject("version").field("number", version.number()).field("snapshot_build", version.snapshot).endObject();
builder.field("transport_address", localNode.address().toString()); if (contextProvider.nodeService() != null) {
for (Map.Entry<String, String> attr : contextProvider.nodeService().attributes().entrySet()) {
builder.field(attr.getKey(), attr.getValue());
}
} builder.startObject("attributes");
for (Map.Entry<String, String> attr : localNode.attributes().entrySet()) {
builder.field(attr.getKey(), attr.getValue());
}
builder.endObject(); builder.endObject().endObject();
multicastChannel.send(builder.bytes());
if (logger.isTraceEnabled()) {
logger.trace("sending external ping response {}", builder.string());
}
} catch (Exception e) {
logger.warn("failed to send external multicast response", e);
}
} private void handleNodePingRequest(int id, DiscoveryNode requestingNodeX, ClusterName requestClusterName) {
if (!pingEnabled || multicastChannel == null) {
return;
}
final DiscoveryNodes discoveryNodes = contextProvider.nodes();
final DiscoveryNode requestingNode = requestingNodeX;
if (requestingNode.id().equals(discoveryNodes.localNodeId())) {
// that's me, ignore
return;
}
if (!requestClusterName.equals(clusterName)) {
if (logger.isTraceEnabled()) {
logger.trace("[{}] received ping_request from [{}], but wrong cluster_name [{}], expected [{}], ignoring",
id, requestingNode, requestClusterName.value(), clusterName.value());
}
return;
}
// don't connect between two client nodes, no need for that...
if (!discoveryNodes.localNode().shouldConnectTo(requestingNode)) {
if (logger.isTraceEnabled()) {
logger.trace("[{}] received ping_request from [{}], both are client nodes, ignoring", id, requestingNode, requestClusterName);
}
return;
}
final MulticastPingResponse multicastPingResponse = new MulticastPingResponse();
multicastPingResponse.id = id;
multicastPingResponse.pingResponse = new PingResponse(discoveryNodes.localNode(), discoveryNodes.masterNode(), clusterName, contextProvider.nodeHasJoinedClusterOnce()); if (logger.isTraceEnabled()) {
logger.trace("[{}] received ping_request from [{}], sending {}", id, requestingNode, multicastPingResponse.pingResponse);
}
// 加入集群
if (!transportService.nodeConnected(requestingNode)) {
// do the connect and send on a thread pool
threadPool.generic().execute(new Runnable() {
@Override
public void run() {
// connect to the node if possible
try {
transportService.connectToNode(requestingNode);
transportService.sendRequest(requestingNode, ACTION_NAME, multicastPingResponse, new EmptyTransportResponseHandler(ThreadPool.Names.SAME) {
@Override
public void handleException(TransportException exp) {
logger.warn("failed to receive confirmation on sent ping response to [{}]", exp, requestingNode);
}
});
} catch (Exception e) {
if (lifecycle.started()) {
logger.warn("failed to connect to requesting node {}", e, requestingNode);
}
}
}
});
} else {
transportService.sendRequest(requestingNode, ACTION_NAME, multicastPingResponse, new EmptyTransportResponseHandler(ThreadPool.Names.SAME) {
@Override
public void handleException(TransportException exp) {
if (lifecycle.started()) {
logger.warn("failed to receive confirmation on sent ping response to [{}]", exp, requestingNode);
}
}
});
}
}
}
处理方法就是，收到某个节点的广播消息，则读取集群名，相同则认为是同一集群。发送消息信息，以及连接到该节点，从而保持节点间的通信链路。
还有其他许多细节，略去不说。但我们已经从整体上解答了，es是如何进行自动集群节点发现的了，一个发送广播消息，同一广播组的实例收到消息后，读取cluster_name,从而判定是否是同一集群，进而自动组网。
