本文主要是介绍【ES实战】ES创建Transports客户端时间过长分析，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
ES创建Transports客户端时间过长分析
2023年10月19日
文章目录
- ES创建Transports客户端时间过长分析
- 问题描述
- 问题重现
- 问题分析
- 是否可以配置链接超时时间
- 节点建立连接超时逻辑
- 为啥超时间会出现翻倍
- 优化方案
在创建ES Transport客户端的时，当出现以下场景时，影响连接速度。
问题描述
- 使用ES Transport 客户端创建与集群的链接。
- 连接地址里面有不存在的IP
- 在增加ES节点时，采用逐个增加的方式
整个建立链接的过程会非常耗时。
问题重现
采用jar依赖如下
<dependency><groupId>org.elasticsearch.client</groupId><artifactId>transport</artifactId><version>5.6.16</version></dependency><dependency><groupId>org.elasticsearch.client</groupId><artifactId>x-pack-transport</artifactId><version>5.6.1</version></dependency><dependency><groupId>org.elasticsearch.client</groupId><artifactId>sniffer</artifactId><version>5.4.2</version></dependency>
创建连接代码如下
final Settings settings = Settings.builder().put("cluster.name", "common-es").put("client.transport.sniff", true).build();final TransportClient transportClient = new PreBuiltXPackTransportClient(settings);long t1 = System.currentTimeMillis();transportClient.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("192.168.80.37"), 9800));logger.info("第1个错误节点耗时:" + (System.currentTimeMillis() - t1) / 1000);long t2 = System.currentTimeMillis();transportClient.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("192.168.80.38"), 9800));logger.info("第2个错误节点耗时:" + (System.currentTimeMillis() - t2) / 1000);long t3 = System.currentTimeMillis();transportClient.addTransportAddress(new InetSocketTransportAddress(InetAddress.getByName("192.168.80.39"), 9800));logger.info("第3个错误节点耗时:" + (System.currentTimeMillis() - t3) / 1000);
输出结果
[2023-10-19 15:31:31,398] [main] [INFO ] xxx.Client - 第1个错误节点耗时:21
[2023-10-19 15:32:13,414] [main] [INFO ] xxx.Client - 第2个错误节点耗时:42
[2023-10-19 15:32:55,436] [main] [INFO ] xxx.Client - 第3个错误节点耗时:42
问题分析
是否可以配置链接超时时间
通过new PreBuiltXPackTransportClient()方法创建客户端，跟踪源码发现其会在TransportClient.buildTemplate进行建立网络模块服务，在继续debug，会发现会在TcpTransport中方法buildDefaultConnectionProfile构建链接的配置文件。发现其TCP_CONNECT_TIMEOUT默认的配置是30s,起对应的配置参数是transport.tcp.connect_timeout。
static ConnectionProfile buildDefaultConnectionProfile(Settings settings) {int connectionsPerNodeRecovery = CONNECTIONS_PER_NODE_RECOVERY.get(settings);int connectionsPerNodeBulk = CONNECTIONS_PER_NODE_BULK.get(settings);int connectionsPerNodeReg = CONNECTIONS_PER_NODE_REG.get(settings);int connectionsPerNodeState = CONNECTIONS_PER_NODE_STATE.get(settings);int connectionsPerNodePing = CONNECTIONS_PER_NODE_PING.get(settings);ConnectionProfile.Builder builder = new ConnectionProfile.Builder();// 链接的超时时间builder.setConnectTimeout(TCP_CONNECT_TIMEOUT.get(settings));builder.setHandshakeTimeout(TCP_CONNECT_TIMEOUT.get(settings));builder.addConnections(connectionsPerNodeBulk, TransportRequestOptions.Type.BULK);builder.addConnections(connectionsPerNodePing, TransportRequestOptions.Type.PING);// if we are not master eligible we don't need a dedicated channel to publish the statebuilder.addConnections(DiscoveryNode.isMasterNode(settings) ? connectionsPerNodeState : 0, TransportRequestOptions.Type.STATE);// if we are not a data-node we don't need any dedicated channels for recoverybuilder.addConnections(DiscoveryNode.isDataNode(settings) ? connectionsPerNodeRecovery : 0, TransportRequestOptions.Type.RECOVERY);builder.addConnections(connectionsPerNodeReg, TransportRequestOptions.Type.REG);return builder.build();}
public static final Setting<TimeValue> TCP_CONNECT_TIMEOUT =timeSetting("transport.tcp.connect_timeout", NetworkService.TcpSettings.TCP_CONNECT_TIMEOUT, Setting.Property.NodeScope);
节点建立连接超时逻辑
由TcpTransport.openConnection(DiscoveryNode node, ConnectionProfile connectionProfile)方法建立通信管道时，在通信之前重组连接的默认配置和自定义配置。在Netty4Transport.connectToChannels()方法内具体生效，future.awaitUninterruptibly((long) (connectTimeout.millis() * 1.5));。
增加节点的方式
TransportClient类提供了数组方式增加节点和单个节点增加的方式，
public TransportClient addTransportAddress(TransportAddress transportAddress) {nodesService.addTransportAddresses(transportAddress);return this;}public TransportClient addTransportAddresses(TransportAddress... transportAddress) {nodesService.addTransportAddresses(transportAddress);return this;}
不过根据代码，发现其都是调用的TransportClientNodesService类的addTransportAddresses(TransportAddress... transportAddresses)方法
public TransportClientNodesService addTransportAddresses(TransportAddress... transportAddresses) {// 竞争对象锁mutexsynchronized (mutex) {if (closed) {throw new IllegalStateException("transport client is closed, can't add an address");}List<TransportAddress> filtered = new ArrayList<>(transportAddresses.length);for (TransportAddress transportAddress : transportAddresses) {boolean found = false;for (DiscoveryNode otherNode : listedNodes) {// 方式连接地址值重复，会自动过滤if (otherNode.getAddress().equals(transportAddress)) {found = true;logger.debug("address [{}] already exists with [{}], ignoring...", transportAddress, otherNode);break;}}if (!found) {filtered.add(transportAddress);}}if (filtered.isEmpty()) {return this;}List<DiscoveryNode> builder = new ArrayList<>(listedNodes);for (TransportAddress transportAddress : filtered) {DiscoveryNode node = new DiscoveryNode("#transport#-" + tempNodeIdGenerator.incrementAndGet(),transportAddress, Collections.emptyMap(), Collections.emptySet(), minCompatibilityVersion);logger.debug("adding address [{}]", node);builder.add(node);}// listNodes里面存放的是配置的连接节点列表listedNodes = Collections.unmodifiableList(builder);// 调用不同的节点采集-里面也对mutex锁进行竞争nodesSampler.sample();}return this;}
NodeSampler.sample()
public void sample() {synchronized (mutex) {if (closed) {return;}doSample();}}
NodesSampler有两个具体的继承实现类
SniffNodesSampler：开启嗅探属性的客户端SimpleNodeSampler：简单客户端
这边对SniffNodesSampler的sample()方法进行分析。
@Overrideprotected void doSample() {Set<DiscoveryNode> nodesToPing = new HashSet<>();// 最新要进行连接的一组节点列表for (DiscoveryNode node : listedNodes) {nodesToPing.add(node);}// nodes代表已经连接上的节点列表for (DiscoveryNode node : nodes) {nodesToPing.add(node);}// 并发控制辅助类final CountDownLatch latch = new CountDownLatch(nodesToPing.size());final ConcurrentMap<DiscoveryNode, ClusterStateResponse> clusterStateResponses = ConcurrentCollections.newConcurrentMap();try {for (final DiscoveryNode nodeToPing : nodesToPing) {// 采用线程池的方式去连接节点threadPool.executor(ThreadPool.Names.MANAGEMENT).execute(new AbstractRunnable() {Transport.Connection connectionToClose = null;void onDone() {try {IOUtils.closeWhileHandlingException(connectionToClose);} finally {latch.countDown();}}@Overridepublic void onFailure(Exception e) {onDone();......}@Overrideprotected void doRun() throws Exception {Transport.Connection pingConnection = null;if (nodes.contains(nodeToPing)) {try {pingConnection = transportService.getConnection(nodeToPing);} catch (NodeNotConnectedException e) {// will use a temp connection}}if (pingConnection == null) {logger.trace("connecting to cluster node [{}]", nodeToPing);// 尝试去连接节点，超时会抛出异常connectionToClose = transportService.openConnection(nodeToPing, LISTED_NODES_PROFILE);pingConnection = connectionToClose;}// 若有一个节点连接成功会进行集群状态查询，返回值里面包含了全部可用节点transportService.sendRequest(pingConnection, ClusterStateAction.NAME,Requests.clusterStateRequest().clear().nodes(true).local(true),TransportRequestOptions.builder().withType(TransportRequestOptions.Type.STATE).withTimeout(pingTimeout).build(),new TransportResponseHandler<ClusterStateResponse>() {@Overridepublic ClusterStateResponse newInstance() {return new ClusterStateResponse();}@Overridepublic String executor() {return ThreadPool.Names.SAME;}@Overridepublic void handleResponse(ClusterStateResponse response) {clusterStateResponses.put(nodeToPing, response);onDone();}@Overridepublic void handleException(TransportException e) {logger.info((Supplier<?>) () -> new ParameterizedMessage("failed to get local cluster state for {}, disconnecting...", nodeToPing), e);try {hostFailureListener.onNodeDisconnected(nodeToPing, e);} finally {onDone();}}});}});}latch.await();} catch (InterruptedException e) {Thread.currentThread().interrupt();return;}HashSet<DiscoveryNode> newNodes = new HashSet<>();HashSet<DiscoveryNode> newFilteredNodes = new HashSet<>();for (Map.Entry<DiscoveryNode, ClusterStateResponse> entry : clusterStateResponses.entrySet()) {if (!ignoreClusterName && !clusterName.equals(entry.getValue().getClusterName())) {logger.warn("node {} not part of the cluster {}, ignoring...",entry.getValue().getState().nodes().getLocalNode(), clusterName);newFilteredNodes.add(entry.getKey());continue;}for (ObjectCursor<DiscoveryNode> cursor : entry.getValue().getState().nodes().getDataNodes().values()) {newNodes.add(cursor.value);}}// 验证新节点是否可连接nodes = validateNewNodes(newNodes);filteredNodes = Collections.unmodifiableList(new ArrayList<>(newFilteredNodes));}
通过代码发现，其实用了线程池并发连接节点，但是也使用了CountDownLatch，这就导致了，如果有一个节点超时，那整个批次都需要等待这么长的时间。典型的长尾效应。
为啥超时间会出现翻倍
建立TransportClientNodesService服务时，构造函数中增加了对NodeSampler的调度。
TransportClientNodesService(Settings settings, TransportService transportService,ThreadPool threadPool, TransportClient.HostFailureListener hostFailureListener) {.........this.nodesSamplerFuture = threadPool.schedule(nodesSamplerInterval, ThreadPool.Names.GENERIC, new ScheduledNodeSampler());}
ScheduledNodeSampler
当调度触发之后，也会去执行nodesSampler.sample();,也就对mutex锁有了竞争，当调用增加连接方法之后，就会有两次调用 nodesSampler.sample();也就会将超时时间翻倍。
class ScheduledNodeSampler implements Runnable {@Overridepublic void run() {try {nodesSampler.sample();if (!closed) {nodesSamplerFuture = threadPool.schedule(nodesSamplerInterval, ThreadPool.Names.GENERIC, this);}} catch (Exception e) {logger.warn("failed to sample", e);}}
}
优化方案
-
Settings增加超时transport的tcp超时配置。
final Settings settings = Settings.builder().put("cluster.name", "common-es").put("transport.tcp.connect_timeout", "5s").put("client.transport.sniff", true).build();注意此配置的参数名不同版本之间存在差异。
-
使用数组方式增加连接节点，减少反复调用
TransportClientNodesService addTransportAddresses次数，就是在减少分批次的产生阻塞耗时
这篇关于【ES实战】ES创建Transports客户端时间过长分析的文章就介绍到这儿，希望我们推荐的文章对编程师们有所帮助！
![C#实战|大乐透选号器[6]：实现实时显示已选择的红蓝球数量](https://i-blog.csdnimg.cn/direct/cda2638386c64e8d80479ab11fcb14a9.png)
