From 0366489c3a376195c11cf9063c6ef021c122a6b8 Mon Sep 17 00:00:00 2001 From: estom Date: Wed, 10 Apr 2024 20:36:29 +0800 Subject: [PATCH] JAVA --- .../03 Mat与OOM.md} | 9 +- .../04 Jmeter压测工具.md | 503 ++++++ Java/Java问题排查和性能优化/06 JVM参数调优.md | 87 + .../image/04Jmeter压测工具/1712477758187.png | Bin 0 -> 190636 bytes temp.yml | 1450 +++++++++++++++++ 5 files changed, 2048 insertions(+), 1 deletion(-) rename Java/{Java面试原理/什么是OOM,怎么解决OOM.md => Java问题排查和性能优化/03 Mat与OOM.md} (95%) create mode 100644 Java/Java问题排查和性能优化/04 Jmeter压测工具.md create mode 100644 Java/Java问题排查和性能优化/06 JVM参数调优.md create mode 100644 Java/Java问题排查和性能优化/image/04Jmeter压测工具/1712477758187.png create mode 100644 temp.yml diff --git a/Java/Java面试原理/什么是OOM,怎么解决OOM.md b/Java/Java问题排查和性能优化/03 Mat与OOM.md similarity index 95% rename from Java/Java面试原理/什么是OOM,怎么解决OOM.md rename to Java/Java问题排查和性能优化/03 Mat与OOM.md index b97e70ee..84c2a6f2 100644 --- a/Java/Java面试原理/什么是OOM,怎么解决OOM.md +++ b/Java/Java问题排查和性能优化/03 Mat与OOM.md @@ -17,6 +17,8 @@ OOM，全称“Out Of Memory”，翻译成中文就是“内存用完了”， 而在Java语言中，由于存在了垃圾自动回收机制，所以，我们一般不用去主动释放不用的对象所占的内存，也就是理论上来说，是不会存在“内存泄露”的。但是，如果编码不当，比如，将某个对象的引用放到了全局的Map中，虽然方法结束了，但是由于垃圾回收器会根据对象的引用情况来回收内存，导致该对象不能被及时的回收。如果该种情况出现次数多了，就会导致内存溢出，比如系统中经常使用的缓存机制。Java中的内存泄露，不同于C++中的忘了delete，往往是逻辑上的原因泄露。 + + # 3.OOM类型 JVM内存模型： @@ -61,4 +63,9 @@ dump堆内存信息后，需要对dump出的文件进行分析，从而找到OOM 涉及到的虚拟机的技术或者工具，往往需要考虑到虚拟机规范以及不同的虚拟机实现。尤其是针对虚拟机调优时，往往需要针对虚拟机在某些方面的实现策略来考虑，比如，不同的虚拟机的垃圾回收算法是不一样的，而这直接影响了虚拟机某些参数的设置，以达到虚拟机的最佳性能。 -而针对JVM运行时的分析与诊断，则需要掌握分析基本方法，针对具体情况，运用虚拟机的原理，具体分析。一句话，水很深啊。 \ No newline at end of file +而针对JVM运行时的分析与诊断，则需要掌握分析基本方法，针对具体情况，运用虚拟机的原理，具体分析。一句话，水很深啊。 + + +## 6. Mat使用简介 + +MAT，全称Memory Analysis Tools，是一款分析Java堆内存的工具，可以快速定位到堆内泄漏问题。该工具提供了两种使用方式，一种是插件版，可以安装到Eclipse使用，另一种是独立版，可以直接解压使用。 \ No newline at end of file diff --git a/Java/Java问题排查和性能优化/04 Jmeter压测工具.md b/Java/Java问题排查和性能优化/04 Jmeter压测工具.md new file mode 100644 index 00000000..f308e117 --- /dev/null +++ b/Java/Java问题排查和性能优化/04 Jmeter压测工具.md @@ -0,0 +1,503 @@ +## 1 为什么性能测试 + +### 概述 + +软件性能测试是一种非功能性测试，其中应用程序的性能在预期或更高负载下进行评估。 +进行性能测试以测量系统的不同性能属性，如响应时间(速度)，可靠性，资源使用，可扩展性，各种负载条件下的稳定性等。 + +### 基本功能 + +JMeter也称为“Apache JMeter”，它是一个开源的，100%基于Java的应用程序，带有图形界面。 它旨在分析和衡量Web应用程序和各种服务的性能和负载功能行为。 + +JMeter主要用于测试Web应用程序或FTP应用程序，但目前，它适用于功能测试，JDBC数据库连接，Web服务，通用TCP连接和OS本机进程。 您可以执行各种测试活动，如性能，负载，压力，回归和功能测试，以便针对您的Web服务器获得准确的性能指标。 + +* Web Services - SOAP / XML-RPC +* Web - HTTP, HTTPS sites ‘web 1.0’ web 2.0 (ajax, flex 和 flex-ws-amf) +* 通过JDBC驱动程序的数据库 +* 目录 - LDAP +* 通过JMS面向消息传递的服务 +* 服务 - POP3, IMAP, SMTP + +## 2 使用教程 + +### 基本界面 + +![](https://www.yiibai.com/uploads/images/2018/08/01/171458_22860.png) + +### 核心概念 + +> https://www.yiibai.com/jmeter/build-jmeter-test-plan.html + +* 测试计划（TestPlans） + + * 线程组（Thread Groups） + + * 采样器（Samplers） + * 监听器 + * 配置文件 + * 监听器 + * 配置文件 + * 监听器 + * 配置文件 + +![img](https://www.yiibai.com/uploads/article/2018/08/02/160226_93320.png) + +测试计划：可以将测试计划可视化为用于运行测试的JMeter脚本。测试计划由测试元素组成，例如线程组，逻辑控制器，样本生成控制器，监听器，定时器，断言和配置元素。每个测试计划中至少应有一个线程组。 我们可以根据要求添加或删除元素。 + +* JMeter文件或测试计划以 `.JMX`扩展文件的形式保存。JMX是一种基于开放测试的格式，它使测试计划能够在文本编辑器中启动。 +* “测试计划(Test plan)”节点包含测试计划的名称和用户定义的变量。当您在测试计划的多个部分中有重复值时，可使用用户定义变量，它提供了灵活性。 + +![1712477758187](image/04Jmeter压测工具/1712477758187.png) + +线程组：线程组表示JMeter在测试期间将使用的线程组。 线程组元素是任何测试计划的起点。 + +* 设置线程数。 +* 设置加速期。 +* 设置执行测试的次数。 + +![](https://www.yiibai.com/uploads/images/2018/08/02/170253_30401.png) + +控制器—采样器：采样器是允许JMeter将特定类型的请求发送到服务器的组件。它模拟用户对目标服务器的页面的请求。 + +* 采样器是必须将组件添加到测试计划中的，因为它只能让JMeter知道需要将哪种类型的请求发送到服务器。 请求可以是HTTP，HTTP(s)，FTP，TCP，SMTP，SOAP等。 + +![](https://www.yiibai.com/uploads/images/2018/08/02/170925_11078.png) + +控制器-逻辑控制器：逻辑控制器可帮助您控制线程中采样器处理顺序的流程。 它还可以更改来自其子元素的请求的顺序。 + +* 运行时控制器 +* IF控制器 +* 事务控制器 +* 录音控制器 +* 简单控制器 +* while控制器 +* Switch控制器 +* ForEach控制器 +* 模块控制器 +* 包括控制器 +* 循环控制器 +* 仅一次控制器 +* 交错控制器 +* 随机控制器 +* 随机顺序控制器 +* 吞吐量控制器 + +![](https://www.yiibai.com/uploads/images/2018/08/02/171522_14436.png) + +监听器：性能测试就是以各种形式分析服务器响应，然后将其呈现给客户端。当JMeter的采样器组件被执行时，监听器提供JMeter收集的关于那些测试用例的数据的图形表示。它便于用户在某些日志文件中以表格，图形，树或简单文本的形式查看采样器结果。监听器可以在测试的任何地方进行调整，直接包括在测试计划下。JMeter提供了大约15个监听器，但主要使用的是表，树和图形。 + +* 图表结果 +* 样条曲线可视化器 +* 断言结果 +* 简单的数据编写者 +* 监控结果 +* 分布图(alpha) +* 聚合图 +* 梅勒展示台 +* BeanShell监听器 +* 总结报告 +* 示例结果保存配置 +* 图表完整结果 +* 查看结果树 +* 汇总报告 +* 查看表格中的结果 + +![](https://www.yiibai.com/uploads/article/2018/08/02/171858_59718.png) + +配置：配置元素的工作与采样器的工作类似。但是，它不发送请求，但它允许修改采样器发出的请求。这是一个简单的元素，您可以在其中收集所有采样器的关联配置值，如webserver的主机名或数据库URL等。配置元素只能从放置元素的分支内部访问。 + +* Java请求默认值 +* LDAP请求默认值 +* LDAP扩展请求默认值 +* 密钥库配置 +* JDBC连接配置 +* 登录配置元素 +* CSV数据集配置 +* FTP请求默认值 +* TCP采样器配置 +* 用户定义的变量 +* HTTP授权管理器 +* HTTP缓存管理器 +* HTTP Cookie管理器 +* HTTP代理服务器 +* HTTP请求默认值 +* HTTP标头管理器 +* 简单的配置元素 +* 随机变量 + +![](https://www.yiibai.com/uploads/article/2018/08/02/175205_28314.png) + +预处理器元素在采样器发出请求之前执行，如果预处理器附加到采样器元素，那么它将在该采样器元素运行之前执行。 +预处理器元素用于在运行之前修改样本请求的设置，或更新未从响应文本中提取的变量。 +以下是JMeter提供的所有预处理器元素的列表: + +* JDBC预处理器 +* JSR223预处理器 +* RegEx用户参数 +* BeanShell预处理器 +* BSF预处理器 +* HTML链接解析器 +* HTTP URL重写修饰符 +* HTTP用户参数修饰符 +* 用户参数 + +![](https://www.yiibai.com/uploads/images/2018/08/02/175631_46005.png) + +在发出采样器请求之后执行后处理器元素。 如果后处理器连接到Sampler元素，那么它将在该sampler元素运行之后执行。 + +后处理器最常用于处理响应数据，例如，为了将来目的而提取特定值。 + +下面给出了JMeter提供的所有后处理器元素的列表： + +* CSS/JQuery抽取器 +* BeanShell后处理器 +* JSR223后处理器 +* JDBC后处理器 +* 调试后处理器 +* 正则表达式提取器 +* XPath抽取器 +* 结果状态操作处理程序 +* BSF后处理器 + +![](https://www.yiibai.com/uploads/article/2018/08/02/180931_39141.png) + +### 启动命令 + +在服务器上一版使用命令行启动测试脚本。 + +使用命令行启动 JMeter 时，可以通过命令行参数来配置 JMeter 的运行方式，比如设置测试计划文件、日志文件、执行模式以及各种系统属性等。以下是一些常用的 JMeter 命令行启动参数： + +* `-n`：指定 JMeter 以**非图形界面模式**运行，适用于批量运行或分布式测试。 +* `-t [测试计划.jmx]`：指定 JMeter 测试计划文件的路径。 +* `-l [结果文件.jtl]`：指定 JMeter 测试结果的输出文件路径。 +* `-j [日志文件.log]`：指定 JMeter 运行日志的输出文件路径。 +* `-r`：告诉 JMeter 的 Master 连接到定义在 `jmeter.properties` 文件中的远程 Slave 服务器。只有在 `-n` 也被指定时才能使用 `-r`。 +* `-R [逗号分隔的服务器列表]`：指定远程 Slave 服务器的列表，用于分布式测试。如 `-R 192.168.0.1,192.168.0.2`。 +* `-d [目录]`：指定 JMeter 的“起始目录”，即 JMeter 将在该目录下查找用户类路径和插件。 +* `-p [属性文件]`：指定 JMeter 属性文件的路径，通常是 `jmeter.properties` 文件。 +* `-q [额外属性文件]`：指定一个额外的 JMeter 属性文件，可以用于覆盖默认的属性设置。 +* `-J[属性名]=[值]`：直接在命令行中设置某个 JMeter 属性的值，如 `-JthreadNum=10` 设置属性 `threadNum` 的值为 10。 +* `-G[属性名]=[值]`：用于分布式测试，给远程的 Slave 服务器设置全局属性。 +* `-e`：在测试完成后以图形界面模式打开生成的报告分析数据。 +* `-o [输出目录]`：指定输出文件夹，用于存放使用 `-e` 参数生成的 HTML 报告。如果文件夹不存在，JMeter 将会创建它。 +* `-H [代理主机名]` 和 `-P [代理端口]`：配置 JMeter 使用代理服务器，如 `-H my.proxy.server -P 8000` 指定代理服务器。 +* `-u` 和 `-a`：指定订阅和发布的令牌（JMeter 5.0 引入）。 + +典型的启动命令如下 + +jmeter -n -t /path/to/your/testplan.jmx -l /path/to/resultsfile.jtl + +## 3 使用实例 + +web的使用实例： + +https://www.yiibai.com/jmeter/jmeter-web-test-plan.html + +## 4 自定义Jmeter采样器 + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
步骤动作
1创建一个Java类并继承AbstractJavaSamplerClient
2实现setupTest方法，用于初始化
3实现runTest方法，用于执行具体的请求
4实现teardownTest方法，用于清理资源
5编译并将生成的jar文件放入JMeter的lib/ext目录下
6在JMeter中创建一个新的线程组
7添加一个Java Request到线程组中，并设置相应的参数
8运行测试，查看结果
+ +#### 步骤 1: 创建一个Java类并继承 `AbstractJavaSamplerClient` + +引入对应的依赖 + +```xml + + org.apache.jmeter + ApacheJMeter_core + 4.0 + + + + org.apache.jmeter + ApacheJMeter_java + 4.0 + +``` + +首先，我们需要创建一个Java类，并继承 `AbstractJavaSamplerClient`。这个类将成为我们自定义Sampler的入口点。 + +1、setupTest 用来做一些初始化的操作，每一线程只会调用该方法一次。 + +2、teardownTest 用来做一些清理的操作，每一线程只会调用该方法一次。 + +3、getDefaultParameters 设置sample的参数以及默认值，这个方法设置的参数会显示在Java request组件的界面上。 + +4、runTest 这个方法就是sample的核心方法，每次迭代都会调用，并且返回SampleResult对象。由于该方法是抽象方法，所以自定的sample一定要实现该方法，其他方法可根据情况选择是否重写。 + +```java +package lym.iflytek.mt_scylla; + +import org.apache.jmeter.config.Arguments; +import org.apache.jmeter.protocol.java.sampler.AbstractJavaSamplerClient; +import org.apache.jmeter.protocol.java.sampler.JavaSamplerContext; +import org.apache.jmeter.samplers.SampleResult; + +public class TestSample extends AbstractJavaSamplerClient { + private IatDemo iat;#业务类，具体代码不再贴出来 + + public Arguments getDefaultParameters() { + /* + 这个方法由JMeter调用，添加的Arguments参数会在界面上展示出来，可以设置默认值。 + * */ + Arguments arg = new Arguments(); + arg.addArgument("addr", ""); + arg.addArgument("appid", ""); + arg.addArgument("token", ""); + arg.addArgument("rate", ""); + arg.addArgument("filePath", ""); + arg.addArgument("printLog", "false"); + arg.addArgument("encoding", "utf-8"); + arg.addArgument("costTimeType", "3"); + return arg; + } + + + public void setupTest(JavaSamplerContext context) { + /*进行初始化操作，每一个线程只执行一次*/ + String addr = context.getParameter("addr"); + String appid = context.getParameter("appid"); + String token = context.getParameter("token"); + String rate = context.getParameter("rate"); + String printLog = context.getParameter("printLog"); + String costTimeType = context.getParameter("costTimeType"); + iat = new IatDemo(addr, appid, token, rate, printLog, costTimeType); + System.out.println(Thread.currentThread().getName()+":初始完成"); + + } + + public void teardownTest(JavaSamplerContext context){ + /*做一些清理操作，每个线程只执行一次*/ + try { + iat.UninitializeEx(); + System.out.println(Thread.currentThread().getName()+":逆初始化完成"); + } catch (IflytekException e) { + getNewLogger().error(e.getMessage(), e); + } + } + + public SampleResult runTest(JavaSamplerContext javaSamplerContext) { + /*每次迭代都会调用，并且返回SampleResult对象，该对象保存了每次运行的执行结果*/ + String filePath = javaSamplerContext.getParameter("filePath"); + String encoding = javaSamplerContext.getParameter("encoding"); + String costTimeType = javaSamplerContext.getParameter("costTimeType"); + #SampleResult ，用来保存每次运行的结果，以便JMeter进行数据统计。 + SampleResult sampleResult = new SampleResult(); + #通过参数控制运行时间的统计范围，如果你的业务没那么复杂， + #完全可以在runTest开始时设置开始时间，方法结束时设置结束时间。 + if (costTimeType.equals("1")) { + sampleResult.sampleStart();#设置运行的开始时间 + } + try { + String allresult = iat.start(filePath, sampleResult); + + sampleResult.setSamplerData(filePath);#设置输入数据 + sampleResult.setDataType(SampleResult.TEXT);#设置数据类型 + sampleResult.setResponseData(allresult, encoding);#设置sample接收到的数据 + sampleResult.setSuccessful(true);#设置sample执行结果 + sampleResult.setResponseCodeOK();#设置sample执行状态码 + + } catch (Exception e) { + sampleResult.setSuccessful(false); + sampleResult.setResponseCode("500"); + sampleResult.setResponseMessage(e.getMessage()); + getNewLogger().error(e.getMessage(), e); + } + if (costTimeType.equals("1")) { + #设置运行的结束时间，结束时间-开始时间，就是整个sample的运行时间 + #（JMeter就是用这个时间来计算平均响应时间的）。可以根据实际情况，设置在不同的位置。 + sampleResult.sampleEnd(); + } + + if (sampleResult.getStartTime() == 0) { + sampleResult.sampleStart(); + } + + if (sampleResult.getEndTime() == 0) { + sampleResult.sampleEnd(); + } + return sampleResult; + } + + public static void main(String[] args) { + IflytekSample sample = new IflytekSample(); + Arguments arg = new Arguments(); + arg.addArgument("addr", "192.168.0.1:1234"); + arg.addArgument("appid", "00000000"); + arg.addArgument("token", "11111111"); + arg.addArgument("rate", "41000"); + arg.addArgument("filePath", "1.wav"); + arg.addArgument("printLog", "true"); + arg.addArgument("costTimeType", "2"); + + JavaSamplerContext javaSamplerContext = new JavaSamplerContext(arg); + sample.setupTest(javaSamplerContext); + SampleResult sampleResult = sample.runTest(javaSamplerContext); + System.out.println(sampleResult.getResponseDataAsString()); + sample.teardownTest(javaSamplerContext); + + } + + +``` + +#### 步骤 2: 实现 `setupTest`方法 + +`setupTest`方法在每个线程开始之前执行，用于初始化一些资源或设置。在这个方法中，你可以进行一些预处理的操作。 + +```java +@Override +public void setupTest(JavaSamplerContext context) { + // TODO: 初始化操作 +} +1.2.3.4. +``` + +#### 步骤 3: 实现 `runTest`方法 + +`runTest`方法是实际执行请求的地方。在这个方法中，你可以使用各种HTTP或其他类型的客户端库来发送请求，并处理响应。 + +```java +@Override +public SampleResult runTest(JavaSamplerContext context) { + SampleResult result = new SampleResult(); + result.sampleStart(); // 标记请求的开始时间 + + // TODO: 执行实际的请求操作 + + result.sampleEnd(); // 标记请求的结束时间 + return result; +} +``` + +#### 步骤 4: 实现 `teardownTest`方法 + +`teardownTest`方法在每个线程结束之后执行，用于清理资源或做一些收尾的工作。 + +```java +@Override +public void teardownTest(JavaSamplerContext context) { + // TODO: 清理操作 +} +``` + +#### 步骤 5: 编译并将生成的jar文件放入JMeter的lib/ext目录下 + +完成以上步骤后，我们需要将代码编译成jar文件，并将该文件放入JMeter的lib/ext目录下。这样，JMeter就能够找到并加载我们自定义的Sampler。 + +#### 步骤 6: 在JMeter中创建一个新的线程组 + +在JMeter中，我们需要创建一个新的线程组来运行我们的测试。线程组表示一组并发的用户，可以设置线程数、循环次数等参数。 + +#### 步骤 7: 添加一个 `Java Request`到线程组中，并设置相应的参数 + +在线程组中，我们需要添加一个 `Java Request`。在该请求中，我们需要设置一些参数，例如类名、方法名等，以告诉JMeter我们要运行哪个自定义的Sampler。 + +#### 步骤 8: 运行测试，查看结果 + +最后，我们可以运行测试并查看结果。在结果树中，我们可以看到每个请求的响应时间、错误率等信息。 + +## 5 创建Jmeter集群 + +### 原理 + +1、Jmeter分布式测试时，选择其中一台作为控制机(Controller)，其它机器做为代理机(Agent)。 + +2、执行时，Controller会把脚本发送到每台Agent上，Agent 拿到脚本后开始执行，Agent执行时不需要启动Jmeter，只需要把jmeter-server.bat文件打开，它应该是通 过命令行模式来执行的。 + +3、执行后，Agent会把结果回传给Controller，Controller会收集所有Agent的信息并汇总。 + +### Slave配置 + +配置Slave的地址名称。Jmeter/bin/jmeter.properties，找到”remote_hosts=127.0.0.1”,把这一行修改为”remote_hosts=192.168.8.149:1099 + +```properties +# Remote Hosts - comma delimited +remote_hosts=127.0.0.1:1099 +#remote_hosts=localhost:1099,localhost:2010 + +# RMI port to be used by the server (must start rmiregistry with same port) +server_port=1099 +``` + +启动jmeter slave + +```properties +jmeter-server +``` + +### Master配置 + +GUI方式：可以通过配置文件决定连接的remote。Jmeter/bin/jmeter.properties，找到”remote_hosts=127.0.0.1”,把这一行修改为”remote_hosts=192.168.8.149：1099,192.168.8.174：1099，1099是端口号，可以随意自定义。如果有多台代理机，这里需要把所有的代理机的IP地址和端口号都加入进来。 + +```properties +remote_hosts=192.168.8.149:1099,192.168.8.174:1099 +``` + +命令行方式 + +```properties +jmeter -n -t Test.jmx -l test_results.csv -JserverAddr=123 -R remote_host1,remote_host2 +``` + +### 其他问题 + +一个比较标准的参数解决方案如下： + +``` +Jserver.rmi.ssl.disable=true -Jjava.net.preferIPv4Stack=true -Jjava.net.preferIPv6Addresses=false -Jsearch_paths=/home/admin/run +``` + +配置user.properties关闭http用户校验 + +```properties +server.rmi.ssl.disable=true +``` + +配置system.properties中ipv4网络协议 + +```properties +java.net.preferIPv4Stack=true +java.net.preferIPv6Addresses=false +``` diff --git a/Java/Java问题排查和性能优化/06 JVM参数调优.md b/Java/Java问题排查和性能优化/06 JVM参数调优.md new file mode 100644 index 00000000..813fedc2 --- /dev/null +++ b/Java/Java问题排查和性能优化/06 JVM参数调优.md @@ -0,0 +1,87 @@ + +引言 +Jvm（Java虚拟机）是Java语言的基石，对于Java应用的性能至关重要。而Jvm启动参数的优化是提高Java应用性能的一个重要手段。本文将介绍Jvm启动参数的优化和一些示例，帮助开发者更好地理解和优化Jvm的启动参数。 +java启动参数共分为三类； +其一是标准参数（-），所有的JVM实现都必须实现这些参数的功能，而且向后兼容； +其二是非标准参数（-X），默认jvm实现这些参数的功能，但是并不保证所有jvm实现都满足，且不保证向后兼容； +其三是非Stable参数（-XX），此类参数各个jvm实现会有所不同，将来可能会随时取消，需要慎重使用； + +Jvm性能优化 +Jvm性能优化是应用开发过程中关注的一个重要方面。通过优化Jvm启动参数，可以显著提升Java应用的性能。以下是一些常见的Jvm性能优化参数： + +-Xms: 指定Jvm的初始堆大小。 +-Xmx: 指定Jvm的最大堆大小。 +-Xmn: 指定Jvm的年轻代堆大小。 +-XX:MaxPermSize: 指定Jvm的永久代（或元空间）大小。 +-XX:SurvivorRatio: 指定Jvm的年轻代中Eden区和Survivor区的比例。 +-XX:+UseParallelGC: 使用并行垃圾回收器。 +-XX:+UseConcMarkSweepGC: 使用并发标记-清除垃圾回收器。 +内存管理 +Jvm的内存管理对于Java应用的性能有着重要的影响。通过合理地管理Jvm的内存，可以避免内存泄漏和过度的垃圾回收。以下是一些与Jvm内存管理相关的启动参数： + +-XX:NewSize: 指定Jvm的年轻代的初始大小。 +-XX:MaxNewSize: 指定Jvm的年轻代的最大大小。 +-XX:NewRatio: 指定Jvm的年轻代和老年代的比例。 +-XX:SurvivorRatio: 指定Jvm的年轻代中Eden区和Survivor区的比例。 +-XX:MaxTenuringThreshold: 指定Jvm对象的年龄阈值。 +垃圾回收 +垃圾回收是Jvm中的重要子系统，对于Java应用的性能和稳定性至关重要。通过选择合适的垃圾回收器和调整相关参数，可以有效提升Jvm的垃圾回收性能。以下是一些与垃圾回收相关的启动参数： + +-XX:+UseSerialGC: 使用串行垃圾回收器。 +-XX:+UseParallelGC: 使用并行垃圾回收器。 +-XX:+UseConcMarkSweepGC: 使用并发标记-清除垃圾回收器。 +-XX:+UseG1GC: 使用G1垃圾回收器。 +-XX:ParallelGCThreads: 指定并行垃圾回收器的线程数。 +-XX:ConcGCThreads: 指定并发垃圾回收器的线程数。 +并发 +并发是现代应用开发中普遍面临的挑战。Jvm提供了多种并发管理的选项，可以通过调整相关参数来优化并发性能。以下是一些与Jvm并发管理相关的启动参数： + +-XX:ParallelGCThreads: 指定并行垃圾回收器的线程数。 +-XX:ConcGCThreads: 指定并发垃圾回收器的线程数。 +-XX:ThreadStackSize: 指定线程的堆栈大小。 +-XX:+UseThreadPriorities: 启用线程优先级。 +-XX:ThreadPriorityPolicy: 指定线程优先级策略。 +示例 +对于小型服务器配置（如2核心4GB内存） +对于小型的服务器配置，如CPU为2核心，内存为4GB的服务器，JVM的配置可以考虑如下： + +java -Xms1024m -Xmx1024m -XX:PermSize=128m -XX:MaxPermSize=256m -jar app.jar +1 +其中，参数 -Xms1024m 和 -Xmx1024m 分别表示JVM堆的最小值和最大值都为1024MB。一般情况下，为了避免JVM因为动态调整堆大小产生的性能开销，应该设置 -Xms 和 -Xmx 为相同值。 + +参数 -XX:PermSize=128m 和 -XX:MaxPermSize=256m 分别表示JVM永久代（PermGen）的初始大小为128MB，最大值为256MB。永久代用于存放JVM加载的类和方法等静态数据，如果服务器运行的Java应用需要加载大量的类，就需要增大永久代的大小。 + +对于大型服务器配置 +对于拥有更多CPU和内存的大型服务器，JVM的配置则需要考虑不同的策略。例如，对于一个拥有8核心，16GB内存的服务器，一个合理的JVM配置可能是： + +java -Xms8192m -Xmx8192m -XX:PermSize=256m -XX:MaxPermSize=512m -XX:ParallelGCThreads=8 -XX:+UseConcMarkSweepGC -jar app.jar +1 +在之前的基础上，我们增加了两个新的参数： -XX:ParallelGCThreads=8 和 -XX:+UseConcMarkSweepGC。 + +-XX:ParallelGCThreads=8 表示垃圾回收时的并行线程数为8。由于服务器有8个CPU核心，设置并行线程数为CPU核心数可充分利用CPU资源进行垃圾回收。 + +-XX:+UseConcMarkSweepGC 表示使用CMS（Concurrent Mark Sweep）垃圾收集器。CMS是一款以获取最短回收停顿时间为目标的收集器，适合对响应时间有高要求的服务器。大型服务器应用通常对性能要求较高，因此选择CMS进行垃圾回收是合适的。 + +JVM参数解析 +下面我们对前面提到的一些常用的JVM参数进行更详细的解析。 + +-Xmx 和 -Xms +-Xmx 和 -Xms 分别用于设置JVM堆的最大值和最小值。JVM的堆内存是用于存放Java对象的地方，如果设置得太小，会导致频繁的垃圾回收，影响性能；如果设置得太大，有可能会导致长时间的GC停顿，也会影响性能。因此，需要根据服务的实际需求合理设置堆的大小。 + +-XX:PermSize 和 -XX:MaxPermSize +-XX:PermSize 和 -XX:MaxPermSize 用于设置JVM的永久代大小。永久代用于存放静态文件，如Java类、方法等。如果服务器运行的应用需要加载大量的类，就需要增大这两个参数的值。 + +-XX:ParallelGCThreads +-XX:ParallelGCThreads 用于设置并行垃圾回收器的线程数。这个参数的值一般设置为服务器CPU核心数，这样可以充分利用CPU资源进行垃圾回收。 + +-XX:+UseConcMarkSweepGC +-XX:+UseConcMarkSweepGC 用于启用CMS垃圾回收器。CMS是一种以获取最短回收停顿时间为目标的收集器。大型服务器应用通常对性能要求较高，因此选择CMS进行垃圾回收是合适的。 + +以上就是对JVM启动参数的一些基本介绍和优化策略，希望能够对你有所帮助。记住，无论是什么样的优化策略，都需要通过实际的性能测试来进行验证和调整。 + +欢迎来访我的个人博客网站：http://refblogs.com/ 可以互换友链 +———————————————— + + 版权声明：本文为博主原创文章，遵循 CC 4.0 BY-SA 版权协议，转载请附上原文出处链接和本声明。 + +原文链接：https://blog.csdn.net/qq_41389354/article/details/132044864 diff --git a/Java/Java问题排查和性能优化/image/04Jmeter压测工具/1712477758187.png b/Java/Java问题排查和性能优化/image/04Jmeter压测工具/1712477758187.png new file mode 100644 index 0000000000000000000000000000000000000000..da10fb64d315d4109996cad7422765099016080e GIT binary patch literal 190636 zcmbTe1ymee)-~K%kl+Le?g4_kTd)L|;1=B7-Q6L$ySr=S?(QDk-TC^N|C@h(>m6oh zJ?~o8i|Vf1Rdr9Dd(J+4pC(vFN)!PO8x8;fApH0)BnJS%gLXf3z<`7Pj10?x-ob4f z3ku5o5ELYov9UBTHq!?Hz6Zx8K>w6i!S*_HJs=|D{|1@sx0c%gko$&2NQfsyM(XW{ zs`Jf=Rp^7L)lX!UPDY;`Vz`J1uP|br&Jdk$UP51=YD5gP!efYddL~zgyJOEW_dBk) 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IPv6DualStack=true + - vxlanPort=8472 + - CertSANs= + - gatewayExternalIP= + - ingressExternalIP= + - gatewayInternalIP= + - ingressInternalIP= + - gatewayPort=30383 + - gatewayAPIServerPort=30384 + - ingressHttpPort=80 + - ingressHttpsPort=443 + - gatewayDomain=cnstack.local + - hyVxlanInterfaces= + - hyVlanInterfaces= + hosts: + - env: + - StorageDevice=/dev/vdc1 + - KubeletRunDiskSize=100 + - DockerRunDiskSize=100 + - YodaDevice=/dev/vdc1,/dev/vdb1 + - EtcdDevice=/ + ips: + - 10.124.42.180 + - 10.124.42.181 + - 10.124.42.182 + roles: + - master + ssh: + passwd: Sjzx@2019 + port: "22" + user: root + image: cloud-image-registry.cn-shanghai.cr.aliyuncs.com/applications/1248190786113098:alarm-1.0.6-c4fb1a2-f2dd0f + registry: + localRegistry: + cert: {} + domain: registry-internal.adp.aliyuncs.com + port: 5000 + ssh: {} +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: cnstack-multicluster-2.2.1-app-model +spec: + data: | + kind: Application + apiVersion: app-operator.aliyun.com/v1 + metadata: + name: cnstack-multicluster + namespace: cnstack-multicluster + labels: {} + annotations: + adp.aliyuncs.com/app-display-name: 多集群服务 + adp.aliyuncs.com/app-spec-name: poc + adp.aliyuncs.com/application-provider: "1955009827675648" + adp.aliyuncs.com/application-vendor: cnstack + adp.aliyuncs.com/supported-platforms: '["linux/amd64","linux/arm64"]' + spec: + name: cnstack-multicluster + version: 2.2.1 + description: 多集群 + versionDescription: ack-lite-22-15镜像更新，修复客用集群hybridnet镜像无法拉取，创建集群需要重启containerd问题 + infrastructure: + foundationReference: + version: 2.3.0 + clusterImage: cloud-image-registry.cn-shanghai.cr.aliyuncs.com/foundations/adp-base:cnstack-2.3.0-98afc5d-163339 + platform: + code: trident + version: "" + kubeVersion: "" + pkgURL: "" + resources: [] + components: + - name: ocm-addon-config + resourceVersion: 0.1.0 + type: ocm-addon-config + version: 1.0.0 + versionDescription: A Helm chart for OCM Addon Configuration + workload: + helm: + createNamespace: true + chartFile: "" + url: oss://cn-shanghai-cnx-distribution/1955009827675648/ocm-addon-config/1cbfae2de228fb7f485cec3306256314/ocm-addon-config-0.1.0.tgz + values: 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 + timeout: 600 + annotations: + adp.aliyuncs.com/supported-platforms: '["linux/amd64","linux/arm64"]' + namespace: cnstack-multicluster + - name: cnstack-multicluster + resourceVersion: 2.1.6-antbuild-hotfix + type: cnstack-multicluster + version: 2.1.6-antbuild-hotfix + versionDescription: A Helm chart for cnstack-multicluster + workload: + helm: + createNamespace: true + chartFile: "" + url: oss://cn-shanghai-cnx-distribution/1955009827675648/cnstack-multicluster/5d589c549b62fa300fadcbd44ca50c9e/cnstack-multicluster-2.1.6-antbuild-hotfix.tgz + values: 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+ timeout: 600 + disableOpenapiValidation: true + annotations: + adp.aliyuncs.com/supported-platforms: '["linux/amd64","linux/arm64"]' + path: applications/cnstack-multicluster-2.2.1.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: cnstack-multicluster-2.2.1-namespace +spec: + data: | + apiVersion: v1 + kind: Namespace + metadata: + creationTimestamp: null + labels: + adp.aliyuncs.com/managed-namespace: "true" + name: cnstack-multicluster + spec: {} + status: {} + path: applications/cnstack-multicluster-2.2.1-namespace.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: sofams-console-1.1.0-rc1-app-model +spec: + data: | + kind: Application + apiVersion: app-operator.aliyun.com/v1 + metadata: + name: sofams-console + namespace: sofams-console + labels: {} + annotations: + adp.aliyuncs.com/app-display-name: sofams-console + adp.aliyuncs.com/app-spec-name: default + adp.aliyuncs.com/application-provider: "1955009827675648" + adp.aliyuncs.com/supported-platforms: '["linux/amd64"]' + spec: + name: sofams-console + version: 1.1.0-rc1 + description: 微服务控制面 + versionDescription: 一汽环境console通过adp出包底座部署 + infrastructure: + foundationReference: + version: 2.3.0 + clusterImage: cloud-image-registry.cn-shanghai.cr.aliyuncs.com/foundations/adp-base:cnstack-2.3.0-98afc5d-163339 + platform: + code: trident + version: "" + kubeVersion: "" + pkgURL: "" + resources: [] + components: + - name: sofams-console + resourceVersion: 1.1.0-34 + type: sofams-console + version: 1.0.0 + versionDescription: micro service enterprise product + workload: + helm: + createNamespace: true + chartFile: "" + url: oss://cn-shanghai-cnx-distribution/1955009827675648/sofams-console/761757173fef6ed8023e143395b91fe4/sofams-console-1.1.0-34.tgz + values: 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+ timeout: 600 + annotations: + adp.aliyuncs.com/supported-platforms: '["linux/amd64"]' + path: applications/sofams-console-1.1.0-rc1.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: sofams-console-1.1.0-rc1-namespace +spec: + data: | + apiVersion: v1 + kind: Namespace + metadata: + creationTimestamp: null + labels: + adp.aliyuncs.com/managed-namespace: "true" + name: sofams-console + spec: {} + status: {} + path: applications/sofams-console-1.1.0-rc1-namespace.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:47Z" + name: alarm-1.0.6-app-model +spec: + data: | + kind: Application + apiVersion: app-operator.aliyun.com/v1 + metadata: + name: alarm + namespace: alarm + labels: {} + annotations: + adp.aliyuncs.com/app-display-name: 告警云服务 + adp.aliyuncs.com/app-spec-name: poc + adp.aliyuncs.com/application-provider: "1955009827675648" + adp.aliyuncs.com/supported-platforms: '["linux/amd64","linux/arm64"]' + spec: + name: alarm + version: 1.0.6 + description: 告警云服务 + versionDescription: 告警平台 - 一汽poc + infrastructure: + foundationReference: + version: 2.3.0 + clusterImage: cloud-image-registry.cn-shanghai.cr.aliyuncs.com/foundations/adp-base:cnstack-2.3.0-98afc5d-163339 + platform: + code: trident + version: "" + kubeVersion: "" + pkgURL: "" + components: + - name: mysql-operator + resourceVersion: 1.8.32 + type: mysql.mysql-operator + version: 1.8.31 + groupReference: + instanceName: "" + name: mysql + version: 1.8.32 + type: OFFICIAL + provider: harmonycloud.cn + workload: + helm: + createNamespace: true + chartFile: "" + url: oss://cn-shanghai-cnx-middleware/stable/harmonycloud.cn/mysql/1.8.32/charts/mysql-operator + values: 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+ timeout: 600 + annotations: + adp.aliyuncs.com/supported-platforms: '["linux/amd64","linux/arm64"]' + - name: acgotonecore + resourceVersion: 1.0.2 + type: acgotonecore + version: 1.23.0 + versionDescription: A Helm chart for Kubernetes + workload: + helm: + createNamespace: true + chartFile: "" + url: oss://cn-shanghai-cnx-distribution/1955009827675648/acgotonecore/09f877ebf85e11708a1844624b3858fe/acgotonecore-1.0.2.tgz + values: 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+ timeout: 600 + annotations: + adp.aliyuncs.com/supported-platforms: '["linux/amd64","linux/arm64"]' + path: applications/alarm-1.0.6.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:47Z" + name: alarm-1.0.6-namespace +spec: + data: | + apiVersion: v1 + kind: Namespace + metadata: + creationTimestamp: null + labels: + adp.aliyuncs.com/managed-namespace: "true" + name: alarm + spec: {} + status: {} + path: applications/alarm-1.0.6-namespace.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:47Z" + name: cloud-component-mananger-0.2.0-app-model +spec: + data: | + kind: Application + apiVersion: app-operator.aliyun.com/v1 + metadata: + name: cloud-component-mananger + namespace: cloud-component-mananger + labels: {} + annotations: + adp.aliyuncs.com/app-display-name: 组件管理平台 + adp.aliyuncs.com/app-spec-name: dev + adp.aliyuncs.com/application-provider: "1955009827675648" + adp.aliyuncs.com/application-vendor: antgroup + adp.aliyuncs.com/supported-platforms: '["linux/amd64"]' + spec: + name: cloud-component-mananger + version: 0.2.0 + description: '中间件管理-运维; owner : 超阳，拙月' + infrastructure: + foundationReference: + version: 2.3.0 + clusterImage: cloud-image-registry.cn-shanghai.cr.aliyuncs.com/foundations/adp-base:cnstack-2.3.0-98afc5d-163339 + platform: + code: trident + version: "" + kubeVersion: "" + pkgURL: "" + components: + - name: mysql-operator + resourceVersion: 1.8.32 + type: mysql.mysql-operator + version: 1.8.31 + groupReference: + instanceName: "" + name: mysql + version: 1.8.32 + type: OFFICIAL + provider: harmonycloud.cn + workload: + helm: + createNamespace: true + chartFile: "" + url: oss://cn-shanghai-cnx-middleware/stable/harmonycloud.cn/mysql/1.8.32/charts/mysql-operator + values: 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resourceVersion: 0.1.4-dev23 + type: cloud-middleware-manager + version: 1.16.2 + versionDescription: A Helm chart for Kubernetes to manage middleware + workload: + helm: + createNamespace: true + chartFile: "" + url: oss://cn-shanghai-cnx-distribution/1955009827675648/cloud-middleware-manager/d61ab6fcd6fa3668fa6e4e3f5c5b237e/cloud-middleware-manager-0.1.4-dev23.tgz + values: 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+ timeout: 600 + annotations: + adp.aliyuncs.com/supported-platforms: '["linux/amd64"]' + - name: middleware-ops-operator + resourceVersion: 0.0.6-dev4 + type: middleware-ops-operator + version: 0.0.5-dev6 + versionDescription: A Helm chart for Kubernetes + workload: + helm: + createNamespace: true + chartFile: "" + url: oss://cn-shanghai-cnx-distribution/1955009827675648/middleware-ops-operator/de70b9bcdd982e2fbea8b0637e5393fe/middleware-ops-operator-0.0.6-dev4.tgz + values: 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 + timeout: 600 + annotations: + adp.aliyuncs.com/supported-platforms: '["linux/amd64"]' + path: applications/cloud-component-mananger-0.2.0.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:47Z" + name: cloud-component-mananger-0.2.0-namespace +spec: + data: | + apiVersion: v1 + kind: Namespace + metadata: + creationTimestamp: null + labels: + adp.aliyuncs.com/managed-namespace: "true" + name: cloud-component-mananger + spec: {} + status: {} + path: applications/cloud-component-mananger-0.2.0-namespace.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: cluster-credential +spec: + data: | + cert.key: | + -----BEGIN PUBLIC KEY----- + MIGfMA0GCSqGSIb3DQEBAQUAA4GNADCBiQKBgQDN5RVh+xyw2m2U4ro2FIA7mHsh + vERl8EqCorprc17t1e7roJ2oO35z4/nvSWgvn2Cx1cFk6IUh6kaETmdNMERw4UQs + dC8Ab0Hu/Vq6kI4/oQEjVDu/ZiuCh/SehquAbxZvkVGw0Wdocq+chrb3+TyA5FAh + G889ufnIS6fl0rI8vwIDAQAB + -----END PUBLIC KEY----- + path: system-components/cluster-credential.yaml + process: value|toSecret + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: cloud-component-mananger-0.2.0-configuration +spec: + data: | + apiVersion: v1 + kind: Secret + metadata: + creationTimestamp: null + labels: + adp.aliyuncs.com/application-configuration: "true" + adp.aliyuncs.com/application-name: cloud-component-mananger + name: cloud-component-mananger-configuration + namespace: cloud-component-mananger + stringData: + components: | + cloud-middleware-manager: + managerInitJob: + dbAccessKey: root + dbHost: mysql-cmm + dbPassword: Hc@Cloud01 + dbType: mysql + skipInitDb: false + type: Opaque + path: applications/cloud-component-mananger-0.2.0-configuration.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: sofams-console-1.1.0-rc1-configuration +spec: + data: | + apiVersion: v1 + kind: Secret + metadata: + creationTimestamp: null + labels: + adp.aliyuncs.com/application-configuration: "true" + adp.aliyuncs.com/application-name: sofams-console + name: sofams-console-configuration + namespace: sofams-console + stringData: + components: | + sofams-console: + database: + mysqlHost: mysql-nacos-mysql.sofa-ms.svc + mysqlPassword: Hc@Cloud01 + mysqlPort: "3306" + mysqlRootPassword: Hc@Cloud01 + mysqlUser: dsrconsole + type: mysql + replicas: 2 + resources: + limits: + cpu: "2" + memory: 4Gi + requests: + cpu: "2" + memory: 4Gi + type: Opaque + path: applications/sofams-console-1.1.0-rc1-configuration.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: alarm-1.0.6-configuration +spec: + data: | + apiVersion: v1 + kind: Secret + metadata: + creationTimestamp: null + labels: + adp.aliyuncs.com/application-configuration: "true" + adp.aliyuncs.com/application-name: alarm + name: alarm-configuration + namespace: alarm + stringData: + components: | + acgotonecore: + acgotonecore: + env: + db_password: Hc@Cloud01 + db_username: root + replicaCount: 1 + resources: + limits: + cpu: 0 + memory: 2Gi + requests: + cpu: 0 + memory: 2Gi + alarm: + alarm: + deploy: + env: STANDALONE + replicaCount: 1 + resources: + limits: + cpu: 2000m + memory: 4Gi + requests: + cpu: 2000m + memory: 4Gi + databaseMonitor: + host: mysql-mysql.alarm + name: alarmdb + password: Hc@Cloud01 + user: root + deploymentType: cnstack + iam: + enable: true + license: + enabled: false + notify: + baseUrl: https://10.124.42.180:30383 + prometheus: + url: https://uat-apps-fc-prometheus.faw.cn + rms: + mock: + enabled: false + mysql-mysql: + resources: + limits: + cpu: 1000m + memory: 2Gi + requests: + cpu: 1000m + memory: 2Gi + storageSize: 10G + type: Opaque + path: applications/alarm-1.0.6-configuration.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: cnstack-multicluster-2.2.1-configuration +spec: + data: | + apiVersion: v1 + kind: Secret + metadata: + creationTimestamp: null + labels: + adp.aliyuncs.com/application-configuration: "true" + adp.aliyuncs.com/application-name: cnstack-multicluster + name: cnstack-multicluster-configuration + namespace: cnstack-multicluster + stringData: + components: | + cnstack-multicluster: + cluster-gateway-addon-manager: + clusterGateway: + replicas: "3" + replicas: 2 + resources: + limits: + cpu: 200m + memory: 512Mi + requests: + cpu: 10m + memory: 64Mi + cluster-import-controller: + replicas: 1 + resources: + limits: + cpu: 300m + memory: 512Mi + requests: + cpu: 100m + memory: 128Mi + cluster-proxy: + replicas: 1 + resources: + limits: + cpu: 200m + memory: 256Mi + requests: + cpu: 10m + memory: 64Mi + global: + enableMapping: true + managed-serviceaccount: + replicas: 1 + resources: + limits: + cpu: 200m + memory: 256Mi + requests: + cpu: 10m + memory: 64Mi + multicluster-apiserver: + replicas: 1 + resources: + limits: + cpu: 400m + memory: 512Mi + requests: + cpu: 100m + memory: 128Mi + registration-operator-hub: + replicas: 1 + resources: + limits: + cpu: 300m + memory: 512Mi + requests: + cpu: 100m + memory: 128Mi + ocm-addon-config: + global: + enableDualStack: true + type: Opaque + path: applications/cnstack-multicluster-2.2.1-configuration.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: cnstack-2.3.0-configuration +spec: + data: | + apiVersion: v1 + kind: Secret + metadata: + creationTimestamp: null + labels: + adp.aliyuncs.com/application-configuration: "true" + adp.aliyuncs.com/application-name: cnstack + name: cnstack-configuration + namespace: acs-system + stringData: + components: | + chart-editor: + helmAgent: + resources: + limits: + cpu: 300m + memory: 300Mi + requests: + cpu: 50m + memory: 50Mi + main: + jvm: + maxMeta: 96m + xmn: 128m + xms: 256m + xmx: 256m + xss: 512k + resources: + limits: + cpu: 500m + memory: 600Mi + requests: + cpu: 300m + memory: 450Mi + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + replicaCount: 2 + cnstack-controller-manager: + crds-install: + enabled: true + global: + versionMode: standard + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + replicas: 2 + resources: + limits: + cpu: 2 + memory: 4Gi + requests: + cpu: 300m + memory: 300Mi + versionMode: standard + cnstack-ui: + audit-server: + replicas: 2 + resources: + requests: + cpu: 300m + memory: 300Mi + cn-console: + replicas: 2 + resources: + requests: + cpu: 300m + memory: 500Mi + cn-doc-center: + replicas: 2 + resources: + requests: + cpu: 100m + memory: 300Mi + cnstack-portal: + replicas: 2 + resources: + requests: + cpu: 300m + memory: 300Mi + global: + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + versionMode: standard + cnstacklet: + agent: + replicas: 2 + resources: + limits: + cpu: 2 + memory: 4Gi + requests: + cpu: 300m + memory: 300Mi + cnstack-resource: + enabled: true + crds-install: + enabled: true + global: + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + versionMode: standard + hnc: + enabled: true + manager: + replicas: 2 + resources: + limits: + cpu: 1 + memory: 1Gi + requests: + cpu: 100m + memory: 150Mi + cost-manager: + collector: + resources: + limits: + cpu: 1 + memory: 2Gi + requests: + cpu: 100m + memory: 300Mi + manager: + resources: + limits: + cpu: 3 + memory: 6Gi + requests: + cpu: 200m + memory: 100Mi + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + opencost: + resources: + limits: + cpu: 3 + memory: 6Gi + requests: + cpu: 300m + memory: 200Mi + replicas: 2 + disaster-recovery: + cn_opcc: + enabled: true + harbor: + chartmuseum: + replicas: 1 + resources: + limits: + cpu: 500m + memory: 1024Mi + requests: + cpu: 100m + memory: 256Mi + core: + replicas: 2 + resources: + limits: + cpu: 1 + memory: 2Gi + requests: + cpu: 100m + memory: 256Mi + jobservice: + replicas: 2 + resources: + limits: + cpu: 1 + memory: 1Gi + requests: + cpu: 100m + memory: 256Mi + notary: + server: + replicas: 1 + resources: + limits: + cpu: 500m + memory: 1Gi + requests: + cpu: 200m + memory: 256Mi + signer: + replicas: 1 + resources: + limits: + cpu: 500m + memory: 1Gi + requests: + cpu: 100m + memory: 256Mi + portal: + replicas: 2 + resources: + limits: + cpu: 1 + memory: 1Gi + requests: + cpu: 100m + memory: 256Mi + postgresql: + instances: 3 + resources: + limits: + cpu: 1000m + memory: 2Gi + requests: + cpu: 200m + memory: 512Mi + storageSize: 20Gi + registry: + controller: + resources: + requests: + cpu: 100m + memory: 256Mi + registry: + resources: + limits: + cpu: 1 + memory: 2Gi + requests: + cpu: 100m + memory: 256Mi + replicas: 2 + trivy: + replicas: 1 + resources: + limits: + cpu: 1 + memory: 1Gi + requests: + cpu: 200m + memory: 512Mi + iam: + emissary-ingress: + controllerResources: + requests: + cpu: 200m + memory: 512Mi + replicas: 2 + resources: + requests: + cpu: 300m + memory: 512Mi + global: + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + postgresql: + enabled: true + iam-server: + replicas: 2 + resources: + requests: + cpu: 300m + memory: 64Mi + initalize: + firstPasswordForceChange: false + keycloak: + replicas: 2 + resources: + requests: + cpu: 1 + memory: 512Mi + postgresql: + dataVolumeSize: 5Gi + instances: 3 + resources: + requests: + cpu: 250m + memory: 256Mi + ingress-controller: + resources: + requests: + cpu: 0 + memory: 512Mi + logging: + loki: + audit: + enabled: true + highAvailability: true + resources: + requests: + cpu: 50m + memory: 256Mi + retention_period: 30d + sizeRetention: + enable: false + storage: localPV + storageSize: 5Gi + controllerPanel: + enabled: true + highAvailability: true + resources: + requests: + cpu: 200m + memory: 1Gi + retention_period: 7d + sizeRetention: + enable: true + storage: localPV + storageSize: 40Gi + projects: + enabled: true + highAvailability: false + resources: + requests: + cpu: 200m + memory: 1Gi + retention_period: 7d + sizeRetention: + enable: true + storage: localPV + storageSize: 40Gi + vector: + resources: + requests: + cpu: 0 + memory: 64Mi + minio-minio: + resources: + limits: + cpu: "1" + memory: 2Gi + requests: + cpu: "1" + memory: 2Gi + storageSize: 50Gi + monitor: + controller: + replicaCount: 2 + requests: + cpu: 100m + memory: 128Mi + edge-agent: + resources: + requests: + cpu: "0" + memory: 384Mi + global: + kubeRbacProxy: + daemonSetResources: + requests: + cpu: "0" + memory: 16Mi + resources: + requests: + cpu: 10m + memory: 16Mi + kubectl: + resources: + requests: + cpu: 200m + memory: 64Mi + notification: + transParamsWithContent: false + gpu-exporter: + resources: + requests: + cpu: "0" + memory: 64Mi + grafana: + replicaCount: 2 + resources: + requests: + cpu: 100m + memory: 128Mi + kube-state-metrics: + replicaCount: 1 + resources: + requests: + cpu: 100m + memory: 512Mi + monitor-rules: + switches: + ackd: + lZero: + dashboards: true + exporter: true + rules: + alert: true + record: true + npd: + dashboards: true + exporter: true + rules: + alert: true + record: true + registry: + dashboards: true + exporter: true + rules: + alert: true + record: true + yoda: + dashboards: true + exporter: true + rules: + alert: true + record: true + kube: + apiserver: + dashboards: true + exporter: true + rules: + alert: true + record: true + controllerManager: + dashboards: true + exporter: true + rules: + alert: true + record: true + coredns: + dashboards: true + exporter: true + rules: + alert: true + record: true + etcd: + dashboards: true + exporter: true + rules: + alert: true + record: true + kubeProxy: + dashboards: true + exporter: true + rules: + alert: true + record: true + kubelet: + dashboards: true + exporter: true + rules: + alert: true + record: true + scheduler: + dashboards: true + exporter: true + rules: + alert: true + record: true + monitor: + alertmanager: + dashboards: true + exporter: true + rules: + alert: true + record: true + gpuExporter: + dashboards: true + exporter: true + rules: + alert: true + record: true + grafana: + dashboards: true + exporter: true + rules: + alert: true + record: true + kubeStateMetrics: + dashboards: true + exporter: true + rules: + alert: true + record: true + nodeExporter: + dashboards: true + exporter: true + rules: + alert: true + record: true + victoria: + dashboards: true + exporter: true + rules: + alert: true + record: true + objects: + cluster: + rules: + alert: true + namespace: + rules: + alert: true + node: + rules: + alert: true + pod: + rules: + alert: true + pvc: + rules: + alert: true + workload: + rules: + alert: true + node-exporter: + resources: + requests: + cpu: "0" + memory: 128Mi + victoria: + replicaCount: 1 + resources: + requests: + cpu: 100m + memory: 128Mi + storageRetention: 2w + vmagent: + replicaCount: 1 + resources: + requests: + cpu: 250m + memory: 384Mi + vmalert: + replicaCount: 1 + resources: + requests: + cpu: 50m + memory: 256Mi + vmalertmanager: + repeatInterval: 5m + replicaCount: 2 + resources: + requests: + cpu: 50m + memory: 64Mi + vminsert: + replicaCount: 2 + resources: + requests: + cpu: 200m + memory: 256Mi + vmselect: + capacity: 2Gi + replicaCount: 2 + resources: + requests: + cpu: 200m + memory: 256Mi + vmstorage: + capacity: 50Gi + replicaCount: 2 + resources: + requests: + cpu: 200m + memory: 1Gi + operation: + function: + resources: + limits: + cpu: 100m + memory: 200Mi + requests: + cpu: 20m + memory: 10Mi + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + nuclio: + resources: + limits: + cpu: 800m + memory: 256Mi + requests: + cpu: 100m + memory: 64Mi + operator: + replicaCount: 1 + resources: + limits: + cpu: 800m + memory: 256Mi + requests: + cpu: 100m + memory: 64Mi + operation-console: + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + replicas: 2 + resources: + console: + limits: + cpu: 1 + memory: 1024Mi + requests: + cpu: 100m + memory: 128Mi + consoleUI: + requests: + cpu: 100m + memory: 128Mi + operator-lifecycle-manager: + catalog: + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + tolerations: + - effect: NoSchedule + key: node-role.kubernetes.io/master + operator: Exists + - effect: NoSchedule + key: node-role.kubernetes.io/cnstack-infra + operator: Exists + olm: + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + tolerations: + - effect: NoSchedule + key: node-role.kubernetes.io/master + operator: Exists + - effect: NoSchedule + key: node-role.kubernetes.io/cnstack-infra + operator: Exists + package: + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + replicaCount: 2 + tolerations: + - effect: NoSchedule + key: node-role.kubernetes.io/master + operator: Exists + - effect: NoSchedule + key: node-role.kubernetes.io/cnstack-infra + operator: Exists + postgresql-operator: + kubectl: + tolerations: + - effect: NoSchedule + key: node-role.kubernetes.io/master + operator: Exists + - effect: NoSchedule + key: node-role.kubernetes.io/cnstack-infra + operator: Exists + nodeSelector: + node-role.kubernetes.io/cnstack-infra: "" + tolerations: + - effect: NoSchedule + key: node-role.kubernetes.io/master + operator: Exists + - effect: NoSchedule + key: node-role.kubernetes.io/cnstack-infra + operator: Exists + postgresql-postgresql: + instances: 0 + type: Opaque + path: applications/cnstack-2.3.0-configuration.yaml + process: value + strategy: overwrite +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: alarm-1.0.6-image-mapping +spec: + data: | + metadata: + creationTimestamp: null + namespace: alarm + path: applications/alarm-1.0.6-image-mapping.yaml + process: value + strategy: merge +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: cloud-component-mananger-0.2.0-image-mapping +spec: + data: | + metadata: + creationTimestamp: null + namespace: cloud-component-mananger + path: applications/cloud-component-mananger-0.2.0-image-mapping.yaml + process: value + strategy: merge +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: cnstack-multicluster-2.2.1-image-mapping +spec: + data: | + metadata: + creationTimestamp: null + namespace: cnstack-multicluster + path: applications/cnstack-multicluster-2.2.1-image-mapping.yaml + process: value + strategy: merge +status: {} +--- +apiVersion: sealer.aliyun.com/v1alpha1 +kind: Config +metadata: + creationTimestamp: "2024-02-28T07:37:46Z" + name: sofams-console-1.1.0-rc1-image-mapping +spec: + data: | + metadata: + creationTimestamp: null + namespace: sofams-console + path: applications/sofams-console-1.1.0-rc1-image-mapping.yaml + process: value + strategy: merge +status: {}