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办公自动化 2025年第1期30卷 13-15页

作者：高鹏正泰电气股份有限公司上海201600

客户信息是企业运行的核心资产,客户信息的准确和完整性对企业的客户关系管理、市场营销策略以及服务提供等方面都有至关重要的影响。为对客户信息更好地进行维护。以销售部门和产品负责人的业务需求为基础,结合计算机与网络技术,采用Go... 详细信息

客户信息是企业运行的核心资产,客户信息的准确和完整性对企业的客户关系管理、市场营销策略以及服务提供等方面都有至关重要的影响。为对客户信息更好地进行维护。以销售部门和产品负责人的业务需求为基础,结合计算机与网络技术,采用golang编程语言和go-zero框架,设计客户信息维护系统。通过测试可知,该系统可快速、高效实现用户信息维护。基于golang的客户信息维护系统将更加有助于产品推广和维护客户关系,值得进行推广使用。

关键词： go-zero框架 golang MySQL Docker Nginx 系统设计与实现

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golang-based POI Discovery and Recommendation in Real Time 20

Golang-based POI Discovery and Recommendation in Real Time

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20th IEEE International Conference on Mobile Data Management (IEEE MDM)

作者： Fan, Qing Jiao, Lang Dai, Chengcheng Deng, Ziqiang Zhang, Rui Grab Beijing R&D Ctr Beijing Peoples R China

ISBN: (纸本)9781728133638

Grab is a Singapore-based technology company offering ride-hailing transport service, food delivery and payment solutions for Southeast Asia. One crucial part of transport service is to provide users with desired POIs as pickups and dropoffs based on their locations with as less effort as possible, which can be measured by the clicking times on the screen before clicking the booking button. As a geo-based service, POI (point of interest) discovery and recommendation involves a lot of geometric calculation and high traffic throughput. It is important to ensure the high availability and stability of POI discovery and recommendation. We adapt golang-based service architecture to ensure the stability of the backend system. Elastic search is utilized to organize millions of POI data on the database layer. Redis is used to shorten the response time of each request as cache. In this paper, we will introduce our golang-based service architecture and how we tackle the online challenges by deploying cutting-edge techniques such as Elastic Search and Redis according to unique business scenarios.

关键词： Mobile Cloud Computing golang Redis POI recommendation

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golang Defect Detection based on Value Flow Analysis 9

Golang Defect Detection based on Value Flow Analysis

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9th International Conference on Electronic Technology and Information Science (ICETIS)

作者： Fu, Shuhao Liao, Yong Univ Sci & Technol China Sch Cyber Sci & Technol Hefei Peoples R China

ISBN: (纸本)9798350388350;9798350388343

With the proliferation of the Internet and the increasing demand for business, golang (Go language) has gained significant attention due to its wide application in cloud computing and the Internet field. This rapid growth poses challenges to code quality and security. To achieve precise modeling for the Go language, this study implements a points-to analysis algorithm specific to Go and constructs a sparse value-flow graph designed for Go. With the help of this high-precision value-flow graph, the null pointer detection algorithm can be implemented. To validate the effectiveness of the proposed algorithms in this paper, this study tests the analysis efficiency and accuracy of the proposed null pointer deference detection algorithm using a set of open-source projects. The experimental results show that our implementation can efficiently and accurately detect program defects in Go language programs.

关键词： Program analysis Value flow analysis golang

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MEA2: A Lightweight Field-Sensitive Escape Analysis with Points-to Calculation for golang

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PROCEEDINGS OF THE ACM ON PROGRAMMING LANGUAGES-PACMPL 2024年第OOPSLA期8卷 1362-1389页

作者： Ding, Boyao Li, Qingwei Zhang, Yu Tang, Fugen Chen, Jinbao Univ Sci & Technol China Hefei Peoples R China Hefei Comprehens Natl Sci Ctr Inst Artificial Intelligence Hefei Peoples R China

Escape analysis plays a crucial role in garbage-collected languages as it enables the allocation of non-escaping variables on the stack by identifying the dynamic lifetimes of objects and pointers. This helps in reducing heap allocations and alleviating garbage collection pressure. However, Go, as a garbage-collected language, employs a fast yet conservative escape analysis, which is field-insensitive and omits point-to-set calculation to expedite compilation. This results in more variables being allocated on the heap. Empirical statistics reveal that field access and indirect memory access are prevalent in real-world Go programs, suggesting potential opportunities for escape analysis to enhance program performance. In this paper, we propose MEA2, an escape analysis framework atop GoLLVM (an LLVM-based Go compiler), which combines field sensitivity and points-to analysis. Moreover, a novel generic function summary representation is designed to facilitate fast inter-procedural analysis. We evaluated it by using MEA2 to perform stack allocation in 12 wildly-use open-source projects. The results show that, compared to Go's escape analysis, MEA2 can reduce heap allocation sites by 7.9% on average (up to 25.7%) while reducing the dynamic memory allocation size by 11.6% on average (up to 35.5%). All this is achieved while keeping the time overhead of escape analysis within 1% of the compilation process.

关键词： escape analysis field sensitive golang

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Go-Sanitizer: Bug-Oriented Assertion Generation for golang 30

Go-Sanitizer: Bug-Oriented Assertion Generation for Golang

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30th IEEE International Symposium on Software Reliability Engineering (ISSRE)

作者： Wang, Cong Sun, Hao Xu, Yiwen Jiang, Yu Zhang, Huafeng Gu, Ming Tsinghua Univ Sch Software BNRist KLISS Beijing Peoples R China Huawei Technol Software Qual Assurance Grp Shenzhen Peoples R China

ISBN: (纸本)9781728151380

Go programming language (golang) is widely used, and the security issue becomes increasingly important because of its extensive applications. Most existing validation techniques, such as fuzz testing and unit testing, mainly focus on crashes detection and coverage improvements. However, it is challenging for test engines to perceive common program bugs such as loss of precision and integer overflow. In this paper, we propose Go-Sanitizer, an effective bug-oriented assertion generator for golang, which is able to achieve a better performance in finding program bugs. Firstly, we manually analyze the Common Weakness Enumeration (CWE) and summarize the applicabilities on golang. Secondly, we design a generator to automatically insert several bug-oriented assertions to the proper locations of the target program. Finally, we can utilize the traditional validation techniques such as fuzz and unit testing to test the programs with inserted assertions, and Go-Sanitizer reports bugs via the failures of assertions. For evaluation, we apply Go-Sanitizer to Badger, a widely-used database software, and successfully discovers 12 previously unreported program bugs, which can not be detected by pure fuzzer such as Go-Fuzz or unit testing methods.

关键词： golang program bug assertion generation

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GodExpo: An Automated God Structure Detection Tool for golang 3

GodExpo: An Automated God Structure Detection Tool for Golan...

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3rd IEEE/ACM International Workshop on Refactoring (IWOR)

作者： Yasir, Rafed Muhammad Asad, Moumita Galib, Asadullah Hill Ganguly, Kishan Kumar Siddik, Md Saeed Univ Dhaka Inst Informat Technol Dhaka Bangladesh

ISBN: (纸本)9781728122700

God Class is a class that threatens maintainability and understandability of code by performing most of the work alone. Various tools exist that can detect God Class of Java or C++ programs, however, there is no existing tool for detecting God Class(Structure) in golang. Although golang is not an object-oriented language, it offers structures which are similar to classes in OOP as they can contain fields and methods. Unlike OOP, methods of a structure can be defined on any file in the package of golang. This paper presents a tool entitled GodExpo to detect God Structures in golang programs by calculating metrics namely Weighted Method Count, Tight Class Cohesion, and Access to Foreign Data. In addition, GodExpo can provide version wise result to observe the evolution of God structures. To evaluate GodExpo, an experiment has been conducted on several versions of two open source golang projects and the tool successfully found God structures in all versions of those projects.

关键词： God Class Code Smell golang OOP Metrics

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A Study of Real-World Data Races in golang 2022

A Study of Real-World Data Races in Golang

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43rd ACM SIGPLAN International Conference on Programming Language Design and Implementation (PLDI)

作者： Chabbi, Milind Ramanathan, Murali Krishna Uber Technol Inc Programming Syst Grp Sunnyvale CA 94086 USA

ISBN: (纸本)9781450392655

The concurrent programming literature is rich with tools and techniques for data race detection. Less, however, has been known about real-world, industry-scale deployment, experience, and insights about data races. golang (Go for short) is a modern programming language that makes concurrency a first-class citizen. Go offers both message passing and shared memory for communicating among concurrent threads. Go is gaining popularity in modern microservice-based systems. Data races in Go stand in the face of its emerging popularity. In this paper, using our industrial codebase as an example, we demonstrate that Go developers embrace concurrency and show how the abundance of concurrency alongside language idioms and nuances make Go programs highly susceptible to data races. Google's Go distribution ships with a built-in dynamic data race detector based on ThreadSanitizer. However, dynamic race detectors pose scalability and flakiness challenges;we discuss various software engineering trade-offs to make this detector work effectively at scale. We have deployed this detector in Uber's 46 million lines of Go codebase hosting 2100 distinct microservices, found over 2000 data races, and fixed over 1000 data races, spanning 790 distinct code patches submitted by 210 unique developers over a six-month period. Based on a detailed investigation of these data race patterns in Go, we make seven high-level observations relating to the complex interplay between the Go language paradigm and data races.

关键词： Data race golang Dynamic analysis

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Ansible execution control in Python and golang for cloud orchestration

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SOFTWAREX 2022年 19卷

作者： Badalyan, David Ivannikov, Oleg Borisenko RAS Ivannikov Inst Syst Programming Moscow Russia

The Ansible configuration manager is currently one of the most popular systems for software deployment. However, Ansible is difficult to debug when working with large scenarios and is difficult to embed into other systems. We propose the cotea (Python) and gocotea (golang) tools that allow users to control Ansible execution programmatically, by iterating over the tasks and collecting progress information. We additionally propose gopython ??? a solution for embedding arbitrary Python code into a golang application. The approach used was generalized up to the abstract architecture of the software tool, which allows for the control of an arbitrary Python program execution. ?? 2022 The Author(s). Published by Elsevier B.V. This is an open access article under the CC BY license (http://***/licenses/by/4.0/).

关键词： Ansible Cloudorchestration Functionhooking golang Python

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基于golang微服务的库房智能管理系统设计

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现代电子技术 2024年第13期47卷 172-179页

作者：向诚万宇杰谭俊伟桂玲中南林业科技大学涉外学院湖南长沙410211 中南林业科技大学计算机与信息工程学院湖南长沙410004

针对传统库房管理主要依赖人工、效率低、数据难以及时更新、人力成本高等问题,文中基于golang微服务,结合ZigBee、RFID、人工智能和区块链等技术设计一种新型仓库智能管理系统。该系统主要由综合信息处理控制系统、以ZigBee为主的信息... 详细信息

针对传统库房管理主要依赖人工、效率低、数据难以及时更新、人力成本高等问题,文中基于golang微服务,结合ZigBee、RFID、人工智能和区块链等技术设计一种新型仓库智能管理系统。该系统主要由综合信息处理控制系统、以ZigBee为主的信息交互系统、以STM32与人脸识别为核心的门禁控制系统、RFID读写设备、后台管理五个部分构成,采用分布式架构将仓库设备管理、数据采集与处理和任务决策整合为一体,既能便捷联动ZigBee、RFID及人脸识别,又具有极强的内存管理和跨平台性。应用系统基于golang语言开发,使用vue、uniapp、electron、php、tdsql-c等技术,采用B/S和C/S两种架构;后端服务采用go-micro微服务形式来提高系统可插拔性和高并发能力;为提高租借数据的可靠性,系统采用区块链对其进行加密,实现每条数据自动上链功能。数据库采用tdsql-c云原生数据库,以方便横向扩展。实验表明,该系统能高效实现盘点和更新、全程无纸化记录及影像和出库数据留存,确保资料溯源,信息化水平高,极大地降低了企业运营成本。

关键词： golang ZigBee RFID 区块链加密人脸识别库房管理

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基于golang的分布式全文检索系统研究与实现

基于golang的分布式全文检索系统研究与实现

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作者：唐忠诚华南理工大学

学位级别：硕士

近年来,随着城轨线网规模的扩大,城市轨道交通系统中每天产生的数据量也急剧增长,如何从日积月累的海量数据中快速地获取工作人员所需的信息成为一大挑战。全文检索不同于传统的数据库信息管理技术,其处理的对象是非结构化数据,用户可... 详细信息

近年来,随着城轨线网规模的扩大,城市轨道交通系统中每天产生的数据量也急剧增长,如何从日积月累的海量数据中快速地获取工作人员所需的信息成为一大挑战。全文检索不同于传统的数据库信息管理技术,其处理的对象是非结构化数据,用户可以通过内容关键字来检索相关的文档,从而高效,多维度的利用信息资源。互联网上蓬勃发展的搜索引擎其核心技术也是全文检索技术,但是出于企业商业信息的安全性等方面来考虑,在互联网上应用良好的搜索引擎比如谷歌、百度、bing等并不能直接应用于企业环境之中,因此需要针对特定的行业建设一套垂直领域的检索系统。本文以城轨线网为背景,针对单机检索系统在处理海量数据时出现的性能瓶颈问题,基于nginx、Flask、wukong等工具和框架,用golang语言设计了一套适用于城轨线网领域的分布式全文检索系统,重点研究了分布式全文检索系统中的字符串哈希算法、中文分词技术、权值问题。本文的主要工作如下:(1)对常用的字符串哈希算法进行了分析和对比后,根据系统应用场景哈希字符串长度短的特点,选用mumurhash3字符串哈希算法来实现分布式检索模型,用于解决单机检索系统性能上的瓶颈。(2)分析对比了几类常见的分词算法,并重点研究了基于统计的分词算法模型:隐马尔可夫模型和条件随机场模型,在此基础上实现了一种基于隐马尔科夫模型加字典的组合分词算法,实验结果表明该分词算法有着良好的切分性能和分词效果。(3)在上述研究的基础上,利用nginx作代理服务器,Flask作为web框架,wukong作为检索引擎,搭建了一套分布式全文检索系统。实验结果表明,该全文检索系统具有良好的性能,在检索方面有着较高的查全率和查准率,并且能够准确及时地为用户提供所需的结果。

关键词：全文检索字符串哈希算法中文分词 golang 分布式

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