GitHub, currently the most popular online storage for public projects, was also a considerable contributor to its prevalence. Git was popularized with the rise of Linux and the open-source scene in general. Nowadays, the most popular version control system is definitely Git, with a market share of about 70 percent in 2016. It’s all possible thanks to the fact that there is no concept of central storage. If the initial developer is not interested in incorporating those changes from other repositories, then they can turn them into separate projects on their own. Later, they can start a pull request in order to merge their changes into the original project. Git allows developers to copy the whole repository, in an operation called forking, and introduce the desired changes without needing to worry about merge conflicts. It literally enabled the open-source world to flourish. Git was one of the first tools to incorporate this philosophy. It enabled programmers to work more efficiently.Īnother considerable improvement was the introduction of distributed systems. One of the most groundbreaking changes was a shift from locking files to merging changes instead. We notice that as version control systems mature, there is a tendency to increase the ability to work on projects in parallel. When we look at the history, we can broadly distinguish three generations of version control software. ![]() It cost a lot of time, hard drive space, and money. They were copying modified files by hand in order to incorporate the work of multiple developers on the same project. ![]() How Version Control Systems Changed the Worldīefore version control systems were created, people relied on manually backing up previous versions of projects. Let’s take a closer look at version control systems and explain how trunk-based development and Git flow came to being. They enable several people to work on different parts of a project at the same time and later join their results into a single product. Moreover, working in distributed teams is possible mainly thanks to these tools. They greatly speed up work and give us the ability to find bugs more easily. Version control systems fill that role by tracking project history and helping to merge changes made by multiple people. SONAR_API.project_branches.In order to develop quality software, we need to be able to track all changes and reverse them if necessary. SONAR_API.project_lete_project_branch(project_key, 'develop') Sonarqube_url=os.getenv('SONARQUBE_API_URL', input('Enter SonarQube API url: ')))ĭef get_projects_where_develop_is_not_the_default_branch():įor branch in SONAR_API.project_branches.get_project_branches_list(project): SONAR_API = SonarQubeAPI(token=os.getenv('SONARQUBE_API_TOKEN', input('Enter SonarQube API token: ')), I’ve created a Python3 script to set the main branch as “develop” on project where it’s “master”įrom sonarqube.exceptions import ClientError The SonarQube Scanner did not complete successfully #The SonarQube Scanner did not complete successfully O To use the property “” and analyze branches, Developer Edition or above is required. ![]() #o To use the property “” and analyze branches, Developer Edition or above is required. #ERROR: Validation of project reactor failed:ĮRROR: Validation of project reactor failed: #ERROR: Error during SonarQube Scanner executionĮRROR: Error during SonarQube Scanner execution The analysis is failing with the branch related error: So is this a catch 22 situation? I am trying to analyze the project for the first time, but it is located on a branch not called master.īut from what you said I can’t change that branch name from master to something unless until it is analyzed first.
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