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The Go Programming Language](https://go.dev/blog/survey2023-h2-results) +- 原文作者:Go Team +- 本文永久链接: +- 译者:[zxmfk](https://github.com/zxmfke) + +Todd Kulesza + +2023 年 12 月 5 日 + +## 背景 + +2023 年 8 月,Google Go 团队进行了我们每半年一次的 Go 开发者调查。我们通过 Go 博客的公开文章和在 VS Code 中的随机提示招募了参与者,收到了 4,005 份回应。我们的调查主要集中在几个主题上:关于使用 Go 进行开发的整体感受和反馈,以及 Go 相关的技术栈,开发者如何启动新的 Go 项目,最近工具链错误消息的体验,以及了解开发者在 AI/ML 领域的兴趣。 + +感谢所有参与此次调查的人!本报告分享了我们从您的反馈中所学到的内容。 + +## 摘要 + +1. Go 开发者表示,他们对改善其编写代码的质量、可靠性和性能的人工智能/机器学习工具感兴趣,而不是编写代码的工具。一位时刻警醒、从不忙碌的专家“审阅者”可能是一种更有帮助的 AI 开发者辅助形式。 +2. 改进工具链警告和错误的最主要请求是让消息更易理解和可行动;这种观点不仅受到所有经验水平开发者的认同,而且在新手 Go 开发者中尤为突出。 +3. 我们对项目模板(gonew)的实验似乎为 Go 开发者(尤其是新手开发者)解决了关键问题,并且以与他们已有的启动新项目的工作流程相匹配的方式实现了这一点。基于这些发现,我们相信 gonew 能大幅降低新手 Go 开发者的入门障碍,并促进组织对 Go 的采用。 +4. 四分之三的受访者表示,他们所开发的 Go 软件也使用云服务;这表明开发者认为 Go 是一种现代、基于云的开发语言。 +5. 开发者对 Go 的态度依然非常积极,90% 的调查受访者表示在过去一年中使用 Go 时感到满意。 + +## 开发者感受 + +Go 开发者对 Go 生态系统依旧反馈了高满意度。绝大多数受访者表示,在过去一年中使用 Go 时感到满意(90% 满意,6% 不满意),其中大多数(52%)更进一步表示他们 “非常满意”,这是最高的评级。长期关注的读者可能已经注意到,这个数字在年复一年中变化不大。对于像 Go 这样庞大、稳定的项目来说,这是预期的;我们将这个指标视为[滞后指标](https://en.wikipedia.org/wiki/Economic_indicator#Lagging_indicators),可以帮助确认 Go 生态系统中普遍问题,但并不是我们来了解潜在问题的首要出处。 + +通常我们发现,一个人在使用 Go 的时间越长,他们对其满意度就越高。这种趋势在 2023 年仍在持续;在拥有不到一年 Go 经验的受访者中,有 82% 报告对 Go 开发体验感到满意,而在拥有五年或更多经验的 Go 开发者中,有 94% 表示满意。这可能涉及多种因素,比如一些受访者随着时间的推移对 Go 的设计选择有了更深的体会,或者认为 Go 并不适合他们的工作,因此在接下来的调查中不再回答(即[生存偏差](https://en.wikipedia.org/wiki/Survivorship_bias))。不过,这些数据有助于我们量化 Go 开发者目前的入门体验,而且很明显我们可以做更多来帮助新兴的 Gophers 找到立足点,并享受在 Go 中取得早期成功的过程。 + +关键点在于,过去一年中选择使用 Go 的绝大多数人对开发体验感到满意。此外,使用 Go 的人数不断增加;我们从像 [Stack Overflow 的开发者调查](https://survey.stackoverflow.co/2023/#most-popular-technologies-language-prof)(发现有 14% 的专业开发者在过去一年中使用 Go,同比增长约 15%)以及 [go.dev](https://go.dev/) 的分析数据(显示访问量同比增长 8%)等外部研究中看到了这一点。将这种增长与高满意度得分结合起来,表明 Go 仍然吸引着开发者,并且表明许多选择学习该语言的开发者在很长时间后依然对他们的决定感到满意。用他们自己的话来说: + +> “在 C、C++、Java 开发超过 30 年后,现在已经用 Go 开发 7 年了,它仍然是迄今为止最高效的语言。它并不完美(没有哪种语言是完美的),但在生产力、复杂性和性能方面取得了最佳平衡。” — 拥有 5 到 9 年经验的专业 Go 开发者 +> +> “目前这是我所了解的最好的语言,我尝试过很多。工具很棒,编译时间很快,我可以非常高效。我很高兴有 Go 这样的工具,不需要在服务器端使用 TypeScript。谢谢。” — 拥有 3 到 4 年经验的开源 Go 开发者 + +![image-20231217101830370](C:\Users\zhengxm\Documents\notes\Go开发者调查\1.png) + +## 开发环境 + +和往年一样,大多数调查受访者告诉我们,他们在 Linux(63%)和 macOS(58%)系统上使用 Go。这些数字在年复一年中有轻微变化,最可能取决于谁发现并回答了这份调查(特别是在 Go 博客上),因为我们在来自 VS Code 的随机样本中并未看到一致的年度变化趋势。 + +我们继续看到,Go 社区中较新的成员更有可能在 Windows 上进行工作,而不是经验丰富的 Go 开发者。我们将这解读为在新开发者加入 Go 生态系统时,基于 Windows 的开发至关重要,而这也是我们团队希望在 2024 年更加关注的一个话题。 + +![image-20231217101802712](C:\Users\zhengxm\Documents\notes\Go开发者调查\2.png) + +![image-20231217101849547](C:\Users\zhengxm\Documents\notes\Go开发者调查\3.png) + +受访者继续高度关注 Linux 部署。考虑到 Go 在云开发和容器化工作负载中的普及,这并不令人意外,但仍然是一个重要的确认。根据组织规模或经验水平等因素,我们发现了很少有意义的差异;事实上,尽管新手 Go 开发者似乎更有可能在 Windows 上开发,但仍有 92% 的人部署到 Linux 系统上。也许从这个分析中最有趣的发现是,经验丰富的 Go 开发者表示他们部署到更多类型的系统上(尤其是 WebAssembly 和 IoT),尽管目前尚不清楚这是因为这些部署对于新手 Go 开发者来说具有挑战性,还是因为经验丰富的 Go 开发者在更广泛的背景下使用 Go。我们还观察到,近年来 IoT 和 WebAssembly 的使用稳步增长,分别从 2021 年的 3% 上升到 2023 年的 6% 和 5%。 + +![image-20231217101920680](C:\Users\zhengxm\Documents\notes\Go开发者调查\4.png) + +在过去几年中,计算架构格局发生了变化,我们看到这种变化反映在当前 Go 开发者表示他们所使用的架构上。虽然兼容 x86 架构的系统仍然占据了大多数开发(89%),但 ARM64 现在也被多数受访者所采用(56%)。这种采用似乎部分受到了 Apple Silicon 的推动;现在,macOS 开发者更有可能表示他们为 ARM64 而非基于 x86 的架构进行开发(76% 对 71%)。然而,驱动 ARM64 采用的因素并不仅限于 Apple 硬件:在根本不会在 macOS 上进行开发的受访者中,仍有 29% 表示他们在为 ARM64 进行开发。 + +![image-20231217102049776](C:\Users\zhengxm\Documents\notes\Go开发者调查\5.png) + +在 Go 开发者调查受访者中,最常见的代码编辑器仍然是 [VS Code](https://code.visualstudio.com/)(44%)和 [GoLand](https://www.jetbrains.com/go/)(31%)。这两个比例与 2023 上半年略有下降(分别为 46%和 33%),但仍在本次调查的误差范围之内。在“其他”类别中,[Helix](https://helix-editor.com/) 占据了大部分。与上述操作系统的结果类似,我们认为这并不代表代码编辑器使用情况发生了实质性的变化,而是展示了我们在这类社区调查中预期看到的一些变化性。特别地,我们在这个问题上排除了来自 VS Code 的随机抽样受访者,因为我们知道该群体对 VS Code 有很大偏好。然而,这也导致了这些结果每年更容易出现变化。 + +我们还根据受访者所偏好使用的编辑器,观察了他们对 Go 满意度的水平。在控制经验长度后,我们并未发现任何差异:我们认为人们并不因为使用不同的代码编辑器而更多或更少地享受使用 Go。这并不一定意味着所有的 Go 编辑器都是相同的,而可能反映了人们找到最适合自己需求的编辑器。这表明了 Go 生态系统拥有多样化的不同编辑器,针对不同的使用情景和开发者偏好。 + +![image-20231217102238469](C:\Users\zhengxm\Documents\notes\Go开发者调查\6.png) + +## 技术栈 + +为了更好地了解 Go 开发者所交互的软件和服务网络,我们就技术栈询问了几个问题。我们将这些结果与社区分享,以展示今天常见使用的工具和平台,但我们认为每个人在选择技术栈时应考虑自己的需求和使用案例。更明确地说:我们既不打算让读者根据这些数据选择技术栈的组件,因为它们很受欢迎,也不打算因为它们不常用就不去使用它们。 + +首先,我们可以有信心地说,Go 是一种面向现代云端开发的语言。事实上,有 75%的受访者在使用与云服务集成的 Go 软件。近一半的受访者涉及到 AWS(48%),几乎三分之一的人在他们的 Go 开发和部署中使用了 GCP(29%)。对于 AWS 和 GCP,使用情况在大型企业和小型组织中均衡。微软 Azure 是唯一一个在大型组织(拥有超过 1000 名员工的公司)中使用可能性明显高于较小机构的云服务提供商;其他提供商在使用上并未因组织规模而有显著差异。 + +![image-20231217102455262](C:\Users\zhengxm\Documents\notes\Go开发者调查\7.png) + +数据库是软件系统中极为常见的组件,我们发现有 91%的受访者表示他们所开发的 Go 服务中至少使用了一个数据库。最常用的是 PostgreSQL(59%),但有双位数的受访者报告使用了其他六种数据库,因此可以肯定地说,并非只有几种标准的数据库供 Go 开发者考虑。根据组织规模的不同,我们再次看到差异,较小组织的受访者更有可能报告使用 PostgreSQL 和 Redis,而较大组织的开发者更有可能使用特定于其云服务提供商的数据库。 + +![image-20231217102851910](C:\Users\zhengxm\Documents\notes\Go开发者调查\8.png) + +另一个受访者报告常用的组件是缓存或键值存储;有 68%的受访者表示他们参与的 Go 软件至少使用了其中一种。Redis 显然是最常见的(57%),其次是 etcd(10%)和 memcached(7%)。 + +![image-20231217102912484](C:\Users\zhengxm\Documents\notes\Go开发者调查\9.png) + +与数据库类似,调查受访者告诉我们他们使用了一系列不同的可观测性系统。Prometheus 和 Grafana 是最常被提及的(都为 43%),但 Open Telemetry、Datadog 和 Sentry 的使用率也都达到了两位数。 + +![image-20231217102943491](C:\Users\zhengxm\Documents\notes\Go开发者调查\10.png) + +如果有人想知道“我们是不是将所有东西都转换成了 JSON?”…… 是的,确实是这样。几乎每位受访者(96%!)表示他们的 Go 软件使用了 JSON 数据格式;这几乎是自我报告数据中最接近普遍的情况了。YAML、CSV 和 Protocol Buffers 也大约被一半的受访者使用,还有两位数的比例使用 TOML 和 XML。 + +![image-20231217103018153](C:\Users\zhengxm\Documents\notes\Go开发者调查\11.png) + +在认证和授权服务方面,我们发现大多数受访者都是基于诸如[JWT](https://jwt.io/introduction)和[OAuth2](https://oauth.net/2/)等标准来构建的基础。这似乎也是一个领域,组织的云服务提供商解决方案与大多数即插即用的替代方案一样受欢迎。 + +![image-20231217103103082](C:\Users\zhengxm\Documents\notes\Go开发者调查\12.png) + +最后,我们有一些不太适合上述分类的其他服务。我们发现将近一半的受访者在他们的 Go 软件中使用了 gRPC(47%)。对于基础架构即代码的需求,约四分之一的受访者选择了 Terraform 作为工具。其他与 Go 一起常见使用的技术包括 Apache Kafka、ElasticSearch、GraphQL 和 RabbitMQ。 + +![image-20231217103208810](C:\Users\zhengxm\Documents\notes\Go开发者调查\13.png) + +我们还研究了哪些技术倾向于一起使用。虽然没有明显类似于经典的 LAMP 堆栈(Linux + Apache + MySQL + PHP)的模式出现在这项分析中,但我们确实确定了一些有趣的模式: + +- 全有或全无:每个类别(除了数据格式)都显示出强烈的相关性,如果受访者对某个类别回答“无”,他们很可能对其他所有类别也回答“无”。我们解释这一点是因为少数用例不需要这些技术堆栈组件中的任何一个,但一旦用例需要任何一个,很可能需要(或至少可以简化为)不止一个。 +- 对跨平台技术的偏好:特定于提供商的解决方案(即,仅适用于单个云平台的服务)并不常见。但是,如果受访者使用了一个特定于提供商的解决方案(例如,用于指标),他们很可能还会说他们在其他方面(例如,数据库、认证、缓存等)也使用了特定于云的解决方案。 +- 多云:三大主要云平台最有可能涉及多云设置。例如,如果一个组织使用任何非 AWS 的云提供商,他们很可能也在使用 AWS。这种模式在 Amazon Web Services 方面最为明显,但也在 Google Cloud Platform 和 Microsoft Azure 中(程度较小)出现。 + +## 开发者如何启动新的 Go 项目 + +作为我们在项目模板方面的实验的一部分,我们希望了解当下 Go 开发者如何开始新项目。受访者告诉我们,他们最大的挑战是选择适当的项目结构方式(54%),以及学习如何编写符合惯用法的 Go 代码(47%)。就像两位受访者所言: + +“为新项目找到适当的结构和正确的抽象层级可能相当繁琐;查看高知名度的社区和企业项目以获得灵感可能会令人困惑,因为每个人都以不同方式组织他们的项目” — 拥有 5 到 9 年 Go 经验的专业 Go 开发者 + +“如果[Go 有一个]工具链来创建 Web 或 CLI 的基本结构就太好了,就像 `go init <项目名>`” — 拥有 3 到 4 年经验的专业 Go 开发者 + +对于经验不到两年的 Go 开发者来说,更有可能遇到这些挑战:分别增加到了 59%和 53%。这正是我们希望通过 gonew 原型改进的两个方面:模板可以为新 Go 开发者提供经过充分测试的项目结构和设计模式,初始实现采用符合惯用法的 Go 编写。这些调查结果帮助我们的团队将 gonew 的目标集中在 Go 社区最困扰的任务上。 + +![image-20231217105326006](C:\Users\zhengxm\Documents\notes\Go开发者调查\14.png) + +大多数受访者告诉我们,他们在启动新的 Go 项目时要么使用模板,要么从现有项目中复制+粘贴代码(58%)。在经验不到五年的受访者中,这个比例增加到了将近三分之二(63%)。这是一个重要的确认,表明 gonew 中基于模板的方法似乎符合开发者目前的使用情况,将一种常见的非正式方法与 go 命令风格的工具对齐。这进一步支持了针对项目模板的常见功能请求:大多数受访者请求 + +- 预配置的目录结构来组织他们的项目 +- 项目领域常见任务的示例代码 + +这些结果与开发者在前面部分所面临的挑战非常一致。对这个问题的回答也有助于区分项目结构和设计模式之间的差异,几乎有两倍的受访者表示他们希望 Go 项目模板提供前者而不是后者。 + +![image-20231217105527148](C:\Users\zhengxm\Documents\notes\Go开发者调查\15.png) + +![image-20231217105816020](C:\Users\zhengxm\Documents\notes\Go开发者调查\16.png) + +大多数受访者告诉我们,能够对模板进行更改并将这些更改传播到基于该模板的项目是至关重要的。据我们所知,目前我们还没有与任何具有自制模板方法的开发者讨论过这种功能,但这表明这是未来发展的一个有趣方向。 + +![image-20231217105908061](C:\Users\zhengxm\Documents\notes\Go开发者调查\17.png) + +## 开发者对错误处理的目标 + +在 Go 开发者之间,一个经常讨论的话题是对错误处理的潜在改进。正如一位受访者总结的那样: + +> “错误处理增加了太多样板代码(我知道,你可能之前听过这个)” — 拥有 1 到 2 年经验的开源 Go 开发者 + +但是,我们也从许多开发者那里听到,他们赞赏 Go 的错误处理方式: + +> “Go 的错误处理简单而有效。由于我在 Java 和 C#中有后端,并且现在正在探索 Rust 和 Zig,我总是很高兴回到编写 Go 代码。而且其中一个原因是,信不信由你,就是错误处理。它真的很简单、朴素而有效。请保持这样。” — 拥有 5 到 9 年经验的开源 Go 开发者 + +与其询问对 Go 中错误处理的具体修改,我们更希望了解开发者更高层次的目标,以及 Go 当前的方法是否已被证明有用和可用。我们发现,大多数受访者赞赏 Go 的错误处理方法(55%),并表示它帮助他们知道何时检查错误(50%)。这两个结果对有更多 Go 经验的受访者更有影响,这表明开发者要么随着时间推移开始欣赏 Go 的错误处理方法,要么这是导致开发者最终离开 Go 生态系统的一个因素(或者至少停止回应与 Go 相关的调查)。许多调查受访者还认为,Go 需要大量乏味的样板代码来检查错误(43%);无论受访者之前有多少 Go 经验,这一点始终如此。有趣的是,当受访者表示他们赞赏 Go 的错误处理时,他们不太可能说它也会导致大量样板代码 — 我们的团队假设 Go 开发者既能欣赏语言的错误处理方式,又觉得它太啰嗦,但只有 14%的受访者同意这两种说法。 + +受访者提到的具体问题包括难以知道要检查哪种错误类型(28%),希望能够轻松地在错误消息中显示堆栈跟踪(28%),以及容易完全忽略错误(19%)。大约三分之一的受访者还对采用其他语言中的概念感兴趣,比如 Rust 的?操作符(31%)。 + +Go 团队没有计划在语言中添加 exceptions,但由于这在实践中是一个常见的请求,我们将其作为一个响应选择包括在内。只有十分之一的受访者表示他们希望能在 Go 中使用 exceptions,而这与经验成反比 — 更有经验的 Go 开发者对 exceptions 的兴趣不及较新加入 Go 社区的受访者。 + +![image-20231217110317767](C:\Users\zhengxm\Documents\notes\Go开发者调查\18.png) + +## 了解 ML/AI 用例 + +Go 团队正在考虑新的 ML/AI 技术发展如何影响软件开发的两个不同方面: + +- ML/AI 工具如何帮助工程师编写更好的软件 +- Go 如何帮助工程师将 ML/AI 支持引入其应用程序和服务 + +下面我们分别深入探讨这两个领域。 + +### 帮助工程师编写更好软件 + +毫无疑问,我们正处于围绕 [AI/ML 可能性的炒作周期](https://www.gartner.com/en/articles/what-s-new-in-artificial-intelligence-from-the-2023-gartner-hype-cycle)中。我们想退一步,关注开发者面临的更广泛挑战,以及他们认为 AI 可能在他们的常规工作中证明有用的地方。答案有些令人惊讶,特别是考虑到当前行业对编码助手的关注。 + +首先,我们看到大约一半的受访者认为以下几个 AI 用例可能会有帮助:生成测试(49%)、提出实地最佳实践建议(47%)以及在开发过程早期捕捉可能的错误(46%)。这些顶级用例的统一主题是每一个都可以帮助提高工程师所编写代码的质量和可靠性。第四个用例(帮助编写文档)引起了大约三分之一受访者的兴趣。其余的用例包括一系列潜在的有益想法,但这些比起前四个用例来说,普遍的兴趣要低得多。 + +当我们观察开发者在 Go 方面的经验时,我们发现初学者受访者对帮助解决编译器错误和解释 Go 代码的作用比经验丰富的 Go 开发者更感兴趣。这可能是 AI 可以帮助提高新 Gopher 入门体验的领域;例如,AI 助手可以帮助用自然语言解释未记录的代码块功能,或者针对特定错误消息建议常见的解决方案。相反地,我们发现在诸如“捕捉常见错误”之类的话题上,经验水平之间没有差异 — 初学者和经验丰富的 Go 开发者都表示他们会希望有工具来帮助处理这个问题。 + +人们可以从这些数据中看到三个广泛的趋势: + +- 受访者表达了对即时获得“专家审阅者”反馈的兴趣,而不仅仅是在审阅时期间。 +- 总体而言,受访者似乎最感兴趣的是那些可以节省他们可能不太喜欢的任务(例如,编写测试或文档化代码)的工具 +- 整体编写或翻译代码的兴趣相对较低,特别是对于有一两年以上经验的开发者来说。 + +综合起来,今天的开发者似乎对机器完成软件开发中有趣(例如,有创造性、愉快、适当具有挑战性的)部分的前景不太感兴趣,但确实认为另一组“眼睛”审阅他们的代码并可能为他们处理乏味或重复的任务有价值。就像一位受访者所表达的: + +> “我特别有兴趣利用 AI/ML 来提高我在 Go 中的生产力。拥有一个训练有素的 Go 最佳实践系统,可以捕捉反模式、错误,生成测试,并且出现错误率低,这将会非常有用。” — 拥有 5 到 9 年经验的专业 Go 开发者 + +然而,这项调查只是一个在快速发展的研究领域中的数据点,因此最好将这些结果放在适当的背景下进行考虑。 + +![image-20231217111047321](C:\Users\zhengxm\Documents\notes\Go开发者调查\19.png) + +### 将 AI 功能引入应用和服务 + +除了探讨 Go 开发者如何从 AI/ML 驱动的工具中受益外,我们还探讨了他们在使用 Go 构建 AI 驱动的应用程序和服务(或支持基础设施)方面的计划。我们发现我们在采用曲线的早期阶段:大多数受访者尚未尝试在这些领域使用 Go,尽管每个话题都引起了大约一半受访者的某种程度的兴趣。例如,大多数受访者表示有兴趣将他们所工作的 Go 服务与 LLM(低级机器学习模型)集成(49%),但只有 13%已经这样做或目前正在评估这种用例。在此次调查时,回答稍微表明开发者可能最感兴趣的是使用 Go 直接调用 LLM,构建驱动 ML/AI 系统所需的数据管道,并创建其他服务可以调用以与 ML/AI 模型进行交互的 API 端点。例如,这位受访者描述了他们希望通过在数据管道中使用 Go 获得的好处: + +> “我想使用 Go 集成 ETL [提取、转换和加载] 部分,以保持一致、稳健、可靠的代码库。” — 拥有 3 到 4 年经验的专业 Go 开发者 + +![image-20231217111115418](C:\Users\zhengxm\Documents\notes\Go开发者调查\20.png) + +## 工具链错误信息 + +开发者对看到错误消息、认为自己理解了消息含义和如何解决它,但经过数小时的无功的调试后发现消息实际意思完全不同的痛苦经历耿耿于怀,这是许多开发者共有的体验。一位受访者如此表达他们的沮丧: + +> “经常出现的异常最终与问题无关,但在我发现这一点之前可能要花一个小时。错误消息简洁得令人不安,并似乎并没有设法猜测用户可能正在尝试做什么或[解释他们的]错误。” — 拥有 10 年以上经验的专业 Go 开发者 + +我们认为开发工具发出的警告和错误应该简明扼要、易于理解和可操作:阅读它们的人应该能够准确理解出了什么问题以及他们可以做些什么来解决问题。这是一个极高的标准,通过这次调查,我们进行了一些测量,以了解开发者对 Go 当前警告和错误消息的感知。 + +在思考他们最近解决的 Go 错误消息时,受访者告诉我们有很大的改进空间。只有少数人单凭错误消息就能理解问题所在(54%),甚至更少的人知道下一步该怎么做以解决问题(41%)。似乎稍微增加一些额外信息就可以显著增加这些比例,因为有四分之一的受访者表示他们大多知道如何解决问题,但需要先看到一个例子。此外,有 11%的受访者表示他们无法理解错误消息,这为当前 Go 工具链错误消息的可理解性提供了一个基准。 + +改进 Go 工具链的错误消息将特别有益于经验较少的 Gopher。有最多两年经验的受访者不太可能像经验丰富的 Gopher 一样说他们理解了问题(47% vs. 61%)或知道如何解决它(29% vs. 52%),并且更有可能需要在线搜索来解决问题(21% vs. 9%),甚至理解错误消息的含义(15% vs. 7%)。 + +我们希望在 2024 年专注于改进工具链的错误消息。这些调查结果表明,这是所有经验水平的开发者都感到沮丧的地方,尤其有助于让新手开发者更好地开始使用 Go。 + +![image-20231217111400437](C:\Users\zhengxm\Documents\notes\Go开发者调查\21.png) + +![image-20231217111638468](C:\Users\zhengxm\Documents\notes\Go开发者调查\22.png) + +为了了解这些消息如何可以改进,我们向调查受访者提出了一个开放式问题:“如果您可以许一个愿望并改进 Go 工具链中的一个错误消息,您会改变什么?”。回应基本上符合我们的假设,即良好的错误消息既易于理解又可操作。最常见的回应是某种形式的“帮助我理解导致此错误的原因”(36%),21%的受访者明确要求提供解决问题的指导,还有 14%的受访者提到诸如 Rust 或 Elm 等语言,因为它们努力做到了这两点。一位受访者说道: + +> “对于编译错误,像 Elm 或 Rust 风格的输出能够准确定位源代码中的确切问题。错误信息应该包含尽可能修复问题的建议…… 我认为‘优化错误输出以便人类阅读’并‘在可能的情况下提供建议’的普遍政策在这里将是非常受欢迎的。” — 拥有 5-9 年经验的专业 Go 开发者 + +可以理解,工具链错误消息和运行时错误消息之间存在模糊的概念界限。例如,最常见的请求之一涉及改进堆栈跟踪或其他方法以帮助调试运行时崩溃(22%)。同样,4%的反馈中出现了一个令人意外的主题,关于使用 go 命令本身寻求帮助的挑战。这些都是 Go 社区帮助我们识别出的相关痛点,这些痛点在我们的视线之外。我们开始这项调查时着眼于改进编译时错误,但 Go 开发者希望改进的核心领域之一实际上与运行时错误相关,另一个则涉及 go 命令的帮助系统。 + +> “当出现错误时,调用堆栈可能非常庞大,包含了许多我不关心的文件。我只想知道我的代码出了问题,而不是我使用的库,或者 panic 是如何处理的。” — 拥有 1-2 年经验的专业 Go 开发者 +> +> “通过`go help run`获取帮助时,会显示一大堆文本,带有链接到进一步阅读以查找可用命令行标志的链接。或者它了解`go run –help`,但不是显示帮助,而是说‘请使用 go help run’。只需显示`go run –help`中的标志列表。” — 拥有 3-4 年经验的专业 Go 开发者 + +![image-20231217111700700](C:\Users\zhengxm\Documents\notes\Go开发者调查\23.png) + +## 微服务 + +我们经常听到开发者觉得 Go 非常适合微服务,但我们从未试图量化有多少 Go 开发者采用了这种服务架构类型,了解这些服务如何相互通信,以及开发者在处理它们时遇到的挑战。今年我们添加了一些问题来更好地了解这个领域。 + +大多数受访者表示他们主要开发微服务(43%),还有四分之一的受访者表示他们同时开发微服务和单体应用。只有约五分之一的受访者主要开发单体式的 Go 应用程序。这是我们看到根据受访者所在组织规模而有所不同的少数几个领域之一——大型组织似乎更有可能采用微服务架构,而不是较小的公司。大型组织(>1,000 名员工)的受访者中,最可能表示他们在开发微服务(55%),而仅有 11%的这些受访者主要从事单体式应用程序的开发。 + +![image-20231217111941582](C:\Users\zhengxm\Documents\notes\Go开发者调查\24.png) + +在 Go 平台中,我们看到微服务数量存在一些分歧。一组是由少数(2 到 5 个)服务组成的(40%),而另一组是更大的集合,至少包含 10 个组件服务(37%)。微服务的数量似乎与组织规模没有相关性。 + +![image-20231217112037815](C:\Users\zhengxm\Documents\notes\Go开发者调查\25.png) + +绝大多数受访者使用某种形式的直接响应请求(例如 RPC、HTTP 等)进行微服务通信(72%)。较少的比例使用消息队列(14%)或发布/订阅方法(9%);同样,我们在这方面没有看到与组织规模有关的差异。 + +![image-20231217112111719](C:\Users\zhengxm\Documents\notes\Go开发者调查\26.png) + +大多数受访者在构建微服务时使用多种语言,只有约四分之一的人完全使用 Go。Python 是最常用的辅助语言(33%),其次是 Node.js(28%)和 Java(26%)。同样,根据组织规模存在差异,较大的组织更有可能集成 Python(43%)和 Java(36%)微服务,而较小的组织更有可能仅使用 Go(30%)。其他语言在组织规模方面似乎使用相同。 + +![image-20231217112143892](C:\Users\zhengxm\Documents\notes\Go开发者调查\27.png) + +总体而言,受访者告诉我们,在编写基于微服务的应用程序时,测试和调试是他们面临的最大挑战,其次是操作复杂性。许多其他挑战在图表中占据了较长的尾部,尽管“可移植性”对大多数受访者来说并不是问题。我们理解为这样的服务并不打算可移植(除了基本的容器化);例如,如果一个组织的微服务最初由 PostgreSQL 数据库支持,开发人员并不担心将来可能将其转移到 Oracle 数据库上。 + +![image-20231217112222563](C:\Users\zhengxm\Documents\notes\Go开发者调查\28.png) + +## 模块的创作和维护 + +Go 拥有一个充满活力的由社区驱动的模块生态系统,我们想了解维护这些模块的开发人员所面临的动机和挑战。我们发现大约五分之一的受访者维护(或曾经维护过)一个开源的 Go 模块。这个比例让人惊讶地高,可能是由于我们分享这份调查的方式造成的:模块的维护者可能更有可能密切关注 Go 博客(这里发布了这项调查)而不同于其他 Go 开发人员。 + +![image-20231217112308089](C:\Users\zhengxm\Documents\notes\Go开发者调查\29.png) + +模块的维护者似乎在很大程度上是自我激励的 — 他们表示在个人(58%)或工作(56%)项目中需要这些模块,他们之所以这样做是因为他们喜欢从事这些模块的工作(63%),并且喜欢成为公共 Go 社区的一部分(44%),他们从模块维护中学到了有用的技能(44%)。更多的外部动机,比如获得认可(15%)、职业发展(36%)或金钱回报(20%),在名单的底部。 + +![image-20231217112417233](C:\Users\zhengxm\Documents\notes\Go开发者调查\30.png) + +维护模块的内在动机形式显示出,模块维护者面临的一个关键挑战是找到时间来专注于他们的模块(41%)。虽然这似乎不是一个可操作的发现(我们不能为 Go 开发人员多增加一两个小时,对吧?),但这是一个有益的视角,用来看待模块的工具和开发 — 这些任务很可能在开发者已经忙于其他事情的情况下进行,也许已经过去了几周或几个月,因此他们的记忆已经不新鲜了。因此,易于理解和操作的错误消息等方面可能会特别有帮助:与其要求某人再次搜索特定的 go 命令语法,也许错误输出可以直接在终端提供他们所需要的解决方案。 + +![image-20231217112455280](C:\Users\zhengxm\Documents\notes\Go开发者调查\31.png) + +## 工作信息统计 + +大多数调查受访者表示他们主要工作中使用 Go(78%),而且多数(59%)称他们在个人或开源项目中使用 Go。实际上,受访者通常在工作和个人/开源项目中都使用 Go,有 43% 的受访者表示他们在这两种情况下都在使用 Go。 + +![image-20231217112558356](C:\Users\zhengxm\Documents\notes\Go开发者调查\32.png) + +绝大多数受访者使用 Go 语言的时间不超过五年(68%)。和之前的调查相比,通过 VS Code 渠道发现此次调查的人员往往经验较少。 + +针对不同经验水平的受访者使用 Go 的情况,有两个显著的发现。首先,各经验水平的受访者中,大多数表示他们在专业领域使用 Go;事实上,对于那些有超过两年经验的人,绝大多数都在工作中使用 Go(85% - 91%)。类似的趋势也存在于开源开发中。第二个发现是,相较于经验更丰富的 Go 开发者,经验较少的开发者更有可能使用 Go 来扩展自己的技能(38%),或者在工作中评估它的使用情况(13%)。我们解读这一发现意味着,许多 Go 开发者最初将 Go 视为“技能提升”或拓展其软件开发理解的一部分,但在一两年内,他们更多地将 Go 视为一种实际应用工具而非学习工具。 + +![image-20231217112738341](C:\Users\zhengxm\Documents\notes\Go开发者调查\33.png) + +![image-20231217112927644](C:\Users\zhengxm\Documents\notes\Go开发者调查\34.png) + +Go 语言最常见的使用情景仍然是 API/RPC 服务(74%)和命令行工具(62%)。人们告诉我们,选择 Go 用于这些类型的软件有几个原因,包括其内置的 HTTP 服务器和并发原语、跨平台编译的便捷性,以及单一二进制部署的简易性。 + +这些工具的主要受众是商业领域(62%),有 17% 的受访者表示他们主要开发面向消费者的应用。这并不令人意外,因为相对于用于后端服务、命令行工具和云开发的广泛使用,Go 在消费者导向的应用(如桌面、移动或游戏)上的使用较少。但这个数据却有力地证实了在 B2B 环境中 Go 的广泛使用情况。 + +我们还根据受访者在 Go 使用经验和组织规模上的不同来寻找差异。更有经验的 Go 开发者表示他们在 Go 中构建了更多不同类型的应用和服务;这种趋势在每个应用或服务类别中都是一致的。根据组织规模,我们并未发现受访者在构建的应用和服务方面有明显的差异。 + +![image-20231217112946280](C:\Users\zhengxm\Documents\notes\Go开发者调查\35.png) + +![image-20231217113036351](C:\Users\zhengxm\Documents\notes\Go开发者调查\36.png) + +受访者在首次回答 Go 开发者调查和之前参与调查的比例大致相同。通过 Go 博客了解本次调查的人中,有 61% 报告曾经参与过此项调查,而通过 VS Code 的通知了解本次调查的人中,只有 31% 表示之前曾参与过。我们并不期望人们完美地记得他们在互联网上参与过的每一项调查,但这让我们对于每次调查都能听取到新旧受访者的均衡意见感到有些信心。此外,这也告诉我们,结合社交媒体发布和编辑器随机抽样对于听取到多元化的 Go 开发者意见是必要的。 + +![image-20231217113107813](C:\Users\zhengxm\Documents\notes\Go开发者调查\37.png) + +## 组织的特征和特性 + +调查对象称他们在各种不同类型的组织中工作,从千人以上的大型企业(27%),到中型企业(25%)和员工少于 100 人的小型组织(44%)不等。大约一半的受访者在科技行业工作(50%),比起下一个最常见的行业——金融服务行业——占 13%,这是一个显著增长。 + +这与过去几年的 Go 开发者调查数据统计基本保持不变——我们继续听取来自不同国家、不同规模和行业的人们的声音,比例保持了一致。 + +![image-20231217120123708](C:\Users\zhengxm\Documents\notes\Go开发者调查\38.png) + +![image-20231217120210172](C:\Users\zhengxm\Documents\notes\Go开发者调查\39.png) + +![image-20231217120226631](C:\Users\zhengxm\Documents\notes\Go开发者调查\40.png) + +## 调查方法 + +这次调查的大部分受访者是“自我选择”的,也就是说,他们是在 Go 博客或其他社交渠道上发现这个调查的。这种方法的潜在问题是,那些不关注这些渠道的人可能不太可能得知有关调查,而且他们的回答可能与那些关注这些渠道的人有所不同。约有 40% 的受访者是随机抽样的,也就是说,他们是在 VS Code 中看到调查提示后回答的(2023 年 7 月中旬至 8 月中旬,所有使用 VS Code Go 插件的人有 10% 的机会收到这个随机提示)。这个随机抽样的群体帮助我们将这些发现推广到更广泛的 Go 开发者群体中。 + +### 如何阅读这个结果 + +这份报告中我们使用了调查回答的图表来支持我们的发现。所有这些图表都采用了类似的格式。标题是受访者所见到的确切问题。除非另有说明,问题是多选的,参与者只能选择一个回答选项;每个图表的副标题将告诉读者问题是否允许多个回答选择,或者是一个开放式的文本框,而不是多选问题。对于开放式文本回答的图表,Go 团队成员读取并手动对回答进行了分类。许多开放式问题引发了各种各样的回答;为了保持图表的合理大小,我们将它们压缩到最多的前 10 个主题,其他主题都归为“其他”类别。图表中显示的百分比标签被舍入到最接近的整数(例如,1.4% 和 0.8% 都显示为 1%),但每个柱形和行的顺序都基于未舍入的值。 + +为了帮助读者了解每个发现背后的证据权重,我们包括了显示回答的 95% [置信区间](https://en.wikipedia.org/wiki/Confidence_interval)的误差条。较窄的条形表示更高的置信度。有时两个或更多个回答的误差条会重叠,这意味着这些回答的相对顺序在统计上没有意义(即这些回答在效果上是并列的)。每个图表的右下角显示了包含在图表中的回答者数量,格式为“n = [回答者数量]”。 + +我们引用了部分受访者的语录,以帮助澄清我们的许多发现。这些引用包括受访者使用 Go 的时长。如果受访者表示他们在工作中使用 Go,则称他们为“专业 Go 开发者”;如果他们在工作中不使用 Go,但在开源开发中使用 Go,则称他们为“开源 Go 开发者”。 + +## 结语 + +调查的最后一个问题总是询问受访者是否有关于 Go 想与我们分享的任何其他信息。提供的最常见反馈是“谢谢!”这一点在今年也不例外(33%)。在语言改进方面,我们看到改进表达能力(12%)、改进错误处理(12%)和提高类型安全性或可靠性(9%)三者之间存在统计上的并列。对于提高表达能力,受访者提出了各种各样的想法,总的趋势是“这是我经常写的一个具体事物,我希望在 Go 中更容易表达”。有关错误处理的问题仍然是对当前代码冗长性的抱怨,而有关类型安全性的反馈则最常涉及[和类型](https://en.wikipedia.org/wiki/Tagged_union)。这种高层次的反馈对于 Go 团队在未来一年制定重点领域时非常有用,因为它告诉我们社区希望引导生态系统的一般方向。 + +> “我知道 Go 对简洁性的态度,我很欣赏。我只是希望它有一些更多的特性。对我来说,更好的错误处理(不过不是异常),也许一些常见的便利功能,比如 map/reduce/filter 和三元运算符。任何不太晦涩的东西,可以帮我省下一些‘if’语句。” — 有 1 - 2 年经验的专业 Go 开发者 +> +> “请保持 Go 与早些时候确定的长期价值观一致 —— 语言和库的稳定性。[……] 这是一个我可以依赖的环境,它不会在 2 到 3 年后破坏我的代码。为此,非常感谢。” — 有 10 年以上经验的专业 Go 开发者 + +![image-20231217120430504](C:\Users\zhengxm\Documents\notes\Go开发者调查\41.png) + +以上就是 Go 开发者调查的全部内容。感谢每一个分享他们对 Go 的反馈的人,我们非常感谢你花时间帮助塑造 Go 的未来,我们希望你能在这份报告中看到你自己的一些反馈。🩵 + +——Todd(代表 Google 的 Go 团队) diff --git a/static/images/2023/w28/1.png b/static/images/2023/w28/1.png new file mode 100644 index 0000000000000000000000000000000000000000..74f5e0791391cf467f0a999fe6025b08a05308ad GIT binary patch literal 11754 zcmeHtXIxX=((e{g6hTx3lxhW(`p`Rw6h$B?Rk|p>O9?Fj8%R+=q?aIyp#~5T2oDJz z=`|uX^b(}k1VY{&o^#HJbARW4x%a*IckVs;vXiy4W@gRIn)$Dp9j>RV$w<#m4*&q; z{d;PU0N~_p0H6svMFWnkn!7~-z!l)W+8qPGwB@my?i;Nzo;818MD?`)V)cl;1}(!S z1_s`UEg7-Qds-L&kR3Y5c}mGz`r&VET{82{ZuTp+jW7LTX#|RCFMU1M8Y3+_!FKzb z%gK|17b<3AEk{RIWG*=CdYIwUKmzYS6Ao0SvxRUU6fO& zPbvLkln55*h!B_#sqgULbIZwUAAS9*`;#i#KN_EuuJqKjZX6Q;`x$z5Ku(F?jaX(e z^*!;sob)`5wZiPDXWa`Qagt+9M0=XRbpVhshNdphaawa~DC4Ss8D}Hyl`!8bSDCGY 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