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1 Welcome! Virtual tutorial will start at 15:00 GMT Please leave feedback afterwards at:
2 Introduction to Version Control (Part 2) ARCHER Virtual Tutorial
3 Reusing this material This work is licensed under a Creative Commons Attribution- NonCommercial-ShareAlike 4.0 International License. This means you are free to copy and redistribute the material and adapt and build on the material under the following terms: You must give appropriate credit, provide a link to the license and indicate if changes were made. If you adapt or build on the material you must distribute your work under the same license as the original. Note that this presentation contains images owned by others. Please seek their permission before reusing these images.
4 Outline Part 1: common features of version control systems Part 2: different models of version control, workflows: Centralised (client-server) version control (CVS, SVN) Distributed (peer-2-peer) version control (Git, Mercurial) Workflows Hosting & additional features: issue tracking, pull requests Choosing a version control system
5 Centralised version control Examples of centralised (also known as client-server) version control systems: CVS Subversion (SVN) Perforce
6 Centralised version control Repository located on a central server Repository
7 Centralised version control Each user has a working copy of the repository Carol Alice Repository Bob Dave
8 Centralised version control New users check out a fresh working copy r123 Alice r123 Repository Carol r123 r123 Bob Dave r123
9 Centralised version control Users make changes to their working copy r123+changes Alice r123 Repository Carol r123 r123+changes Bob Dave r123
10 Centralised version control Users commit changes to the repository r123+changes Alice r124 Repository Carol r123 r123+changes Bob Dave r123
11 Centralised version control Users commit changes to the repository Ø First one to commit wins r124 Alice r124 Repository Carol r123 r123+changes Bob Dave r123
12 Centralised version control Users commit changes to the repository Ø First one to commit wins Ø Others must update & resolve any conflicts before committing r124 Alice r124 Repository Carol r123 r123+changes r124 Bob Dave r123
13 Centralised version control Users commit changes to the repository Ø First one to commit wins Ø Others must update & resolve any conflicts before committing r124 Alice r125 Repository Carol r123 r123+changes resolved + r124 Bob Dave r123
14 Centralised version control Users periodically synchronise by updating their working copies with the canonical content in the central repository r125 Alice r125 Repository Carol r125 r125 Bob Dave r125
15 Centralised version control Enforces centralised workflow linear global progress view (incrementing revision numbers) Need to be online to commit any changes No revision history stored locally, need to be online To check the log To check out any past committed versions of files All commits visible by all users of a repository Can discourage committing, experimenting Can discourage creating many branches
16 Centralised version control Communications with server cost time Server is single point of failure, requires configuration & maintenance: Downtime can affect many users Backups Security
17 Distributed version control Examples of distributed (also known as peer-2-peer) version control systems: Git Mercurial
18 Distributed version control Each user has their own repository stored locally Central server is optional Carol Alice Bob Dave
19 Distributed version control New users clone, i.e. copy, an existing repository Carol Alice Bob Dave
20 Distributed version control Users make changes in their working copy and commit this to their local repository è repositories diverge Carol Alice changes Bob changes Dave
21 Distributed version control To combine content from different repositories someone has to fetch other people s changes into their working copy and perform merges there Alice Carol Bob Dave
22 Distributed version control Branches from Carol and Dave are imported into Alice s repository and merged with one of her branches Alice Carol Bob Dave
23 Distributed version control How does the version control system know how to merge content from different repositories? How does it determine how far back to go in the revision history of two branches being merged until it finds a common ancestor? No single canonical repository so no global revision number (r###) that can be used to judge when commits diverge
24 Distributed version control Solution: Compute an ID uniquely identifying each commit Even better: Compute an ID uniquely identifying each commit and its preceding revision history Git and Mercurial accomplish this using a hash function (SHA-1) that generates a 40-digit hexadecimal number If two commits from different repos have the same ID they have identical revision histories and hence are common ancestors
25 Distributed version control Carol s branch 29ab2761 Dave s branch 29ab hhg315 Common ancestors 46hhg315 k1ga6814 g116ag11 881ja963 Start merging here Local commits k1ga6814 alc6b173 h1lnm2vu
26 Distributed version control Can use a central server for convenience: Ø Clone Carol Alice Server Bob Dave
27 Distributed version control Can use a central server for convenience: Ø Commit local changes Carol Alice Server changes Bob changes Dave
28 Distributed version control Can use a central server for convenience: Ø Push changes into separate branches in server repository Carol Alice Server Bob Dave
29 Distributed version control Can use a central server for convenience: Ø Fetch Carol and Dave s branches and merge Carol Alice Server Bob Dave
30 Distributed version control Don t need to be online to commit changes Changes can be committed privately Encourages committing early on Encourages branching to commit e.g. experimental code Full revision history (log & past versions) available locally Can adopt workflows other than centralised for combining content from contributors Many common operations are faster because no communication with server needed
31 Distributed version control No need to set up and maintain a server No single point of failure As many backups as repository clones Hash IDs allow exact verification of integrity of data Branches play a very important role Used to communicate between repositories Mercurial and Git have very efficient implementations of branching branching is cheap, and merging is clever
32 Hosting & additional features Distributed version control systems became very popular over the past ~8 years (Git born 2005) A number of websites (GitHub, Bitbucket, ) have helped fuel this trend and exploit the potential of distributed version control. GitHub etc. offer repository hosting and management and additional features that facilitate collaborative software development
33 Hosting & additional features Aditional features: Wiki to track and discuss bugs, feature requests etc. tightly integrated with version control workflow Pull request mechanism allowing developers to clone (fork) a repository, make changes, then suggest to the original owner that these changes are integrated into the parent repository Site-installable web-based repository management frameworks (e.g GitLab) offer similar features.
34 Distributed workflows Integration manager workflow: Reproduced under CC Attribution Non-Commercial Share Alike 3.0 license see
35 Distributed workflows Dictator and lieutenants workflow: Reproduced under CC Attribution Non-Commercial Share Alike 3.0 license see
36 Which version control system should I use? If you are joining an existing project: whatever is already being used! (unless there are big problems) Whatever your most important collaborators are used to Experiment! Git or Mercurial will allow you to immediately start committing privately and are fast and powerful Especially Git offers powerful options But easier to get lost than Mercurial when starting out
37 References further reading
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