生了巨大的影响力，在互联网行业广泛使用，但是这⼀阶段的开源除了情怀和展示技术影响力之后 很难量化对公司的价值，因此也比较难以持续发展。第二个阶段是 2018 年开始，随着云计算发展， 开源作为⼀种标准加速云计算发展，尤其 K8s 迅速崛起给我们很多启示，作为⼀家云计算公司，阿 里巴巴也在 2018 年制定了⼀个全面开源，加速企业数字化转型，影响 100w 开发者的战略目标， 这个阶段的开源发生了本质的两个变化，第⼀更重 支持 支持 1.12+ >93% 无 无 C++ 支持 不支持 支持 支持 14+ >60% （C++11 使 用较多） 无 无 C# 支持 不支持 不支持 支持 无 无 Node.js 支持 不支持 支持 支持 无 无 51 > Nacos 架构 grpc WebSocket tbr emo t e （阿里自研 协议） Rsocket netty mina 多语言支持 config/samples/nacos_cluster.yaml kubectl get po -o wide NAME READY STATUS RESTARTS AGE IP NODE NOMINATED NODE READINESS GATES nacos-0 1/1 Running 0 111s 10.168.247.39 slave-100 nacos-1

‧「指令空间」用于保存编译后的程序指令，在实际统计中一般忽略不计。 2. 复杂度分析 hello‑algo.com 28 Figure 2‑9. 算法使用的相关空间 /* 类 */ class Node { int val; Node next; Node(int x) { val = x; } } /* 函数 */ int function() { // do something... return 0; } int algorithm(int n) { // 输入数据 final int a = 0; // 暂存数据（常量） int b = 0; // 暂存数据（变量） Node node = new Node(0); // 暂存数据（对象） int c = function(); // 栈帧空间（调用函数） return a + b + c; // 输出数据 } 2.3.2. 推算方法 n) { // 常量、变量、对象占用 O(1) 空间 final int a = 0; int b = 0; int[] nums = new int[10000]; ListNode node = new ListNode(0); // 循环中的变量占用 O(1) 空间 for (int i = 0; i < n; i++) { int c = 0; } // 循环中的函数占用

‧「指令空间」用于保存编译后的程序指令，在实际统计中一般忽略不计。 2. 复杂度分析 hello‑algo.com 28 Figure 2‑9. 算法使用的相关空间 /* 类 */ class Node { int val; Node next; Node(int x) { val = x; } } /* 函数 */ int function() { // do something... return 0; } int algorithm(int n) { // 输入数据 final int a = 0; // 暂存数据（常量） int b = 0; // 暂存数据（变量） Node node = new Node(0); // 暂存数据（对象） int c = function(); // 栈帧空间（调用函数） return a + b + c; // 输出数据 } 2.3.2. 推算方法 n) { // 常量、变量、对象占用 O(1) 空间 final int a = 0; int b = 0; int[] nums = new int[10000]; ListNode node = new ListNode(0); // 循环中的变量占用 O(1) 空间 for (int i = 0; i < n; i++) { int c = 0; } // 循环中的函数占用

intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether they are ready for messages. Apache ActiveMQ Artemis also has the ability to automatically automatically redistribute messages between nodes of a cluster to prevent starvation on any particular node. For full details on clustering, please see Clusters. Some messaging systems allow isolated clusters Examples The code in the ExceptionListener then recreates the JMS connection, session, etc on another node and the application can continue. Application-layer failover is an alternative approach to High

intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether they are ready for messages. Apache ActiveMQ Artemis also has the ability to automatically automatically redistribute messages between nodes of a cluster to prevent starvation on any particular node. For full details on clustering, please see Clusters. Some messaging systems allow isolated clusters detected. The code in the ExceptionListener then recreates the JMS connection, session, etc on another node and the application can continue. Application-layer failover is an alternative approach to High

in ARTEMIS- 3679 you'll need to update your database. The column HOLDER_EXPIRATION_TIME on the NODE_MANAGER_STORE changed from a TIMESTAMP to a BIGINT (or NUMBER(19) on Oracle). You will have will be automatically recreated when broker restarts and repopulated with a new, auto-generated node ID. 3. If you're using JGroups then due to the changes in ARTEMIS-2413 where JGroups was updated intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether Messaging Concepts 35 they are ready for messages. Apache ActiveMQ Artemis also has

in ARTEMIS- 3679 you'll need to update your database. The column HOLDER_EXPIRATION_TIME on the NODE_MANAGER_STORE changed from a TIMESTAMP to a BIGINT (or NUMBER(19) on Oracle). You will have will be automatically recreated when broker restarts and repopulated with a new, auto-generated node ID. 3. If you're using JGroups then due to the changes in ARTEMIS-2413 where JGroups was updated intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether Messaging Concepts 35 they are ready for messages. Apache ActiveMQ Artemis also has

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 508 87.60. Reattach Node example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether they are ready for messages. Apache ActiveMQ Artemis also has the ability to automatically automatically redistribute messages between nodes of a cluster to prevent starvation on any particular node. For full details on clustering, please see Clusters. 3.9. Bridges and routing Some messaging systems

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 506 86.61. Reattach Node example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether they are ready for messages. Apache ActiveMQ Artemis also has the ability to automatically automatically redistribute messages between nodes of a cluster to prevent starvation on any particular node. For full details on clustering, please see Clusters. 3.9. Bridges and routing Some messaging systems

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 506 86.61. Reattach Node example . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . intelligently load balanced between the servers in the cluster, according to the number of consumers on each node, and whether they are ready for messages. Apache ActiveMQ Artemis also has the ability to automatically automatically redistribute messages between nodes of a cluster to prevent starvation on any particular node. For full details on clustering, please see Clusters. 3.9. Bridges and routing Some messaging systems