The goal of this project is to improve history reordering and make the most of it. Automatic history reordering is an operation that is the basis of many commands of darcs. We want to take advantage of it by adding two features: a minimizing context feature for “darcs send”, and a dependency graph generation that would enable a third party software and darcsden to visualize a darcs repository in a non-linear way. As a prelude to this work, we will measure and x performance of automatic history reordering.
Darcs is a revision control system that presents a simple interface to the user, while automatically doing some operations that can reorder the history on demand. This enables it to make some operations like cherry-picking (transferring a single patch from a branch to another) more intuitive than with other systems.
Good performance is always something desirable in any software, in the particular case of Darcs, history reordering happens more often that one can imagine, for example making a “pull” to reclaim patches implies realign the inventory. The same happens with “push”. Thus, even the simplest use of darcs involves this operation.
The history of a darcs repository is, at the implementation level, an ordered sequence of patches. The recorded state of a repository is the result of applying these patches in this order to an empty state. Darcs is able to reorder a sequence of patches in a given history while maintaining the final recorded state of a repository. This is essential when comparing two repositories to transfer one patch from one to another.
Repositories can contain tags, that are special “empty” patches that represent a certain set of patches of a repositories. For instance, the user may create tags that represent stable versions of a project (and call them 0.1, 0.2, 1.0, 2014-release, etc.). When retrieving patches from a remote repository, darcs just puts them “on top” of the history of the current repository. With time, this can cause unnecessary divergences between various repositories, especially when tags are exchanged. For instance, consider the following repository with 3 patches:
If we retrieve patch and tag from another repository, with tag tagging the set of patches , our repository becomes:
In this history, the tag is “dirty” because it has an unrelated patch () at the left of it. The command “optimize –reorder” reorders the history as follows:
The command “darcs optimize –reorder” must be manually run in order to “push” tags as early as possible in the history of a repository, thus avoiding “dirty tags”.
Reordering the history this way enhances performance of operations that involve comparing repositories; like pull, push and send. This is because comparing two repositories involves identifying the common part of both repositories up to the last tag, only if this tag is clean in both repositories. Furthermore, patch bundles created by “darcs send” (a command that generates patches as files to be sent by mail), are smaller when histories are reordered this way (patch files include some context up to the last clean patch).
Now, the command “darcs optimize –reorder” has a few shortcomings:
It is abnormally slow in some cases. We even have cases where it seems to hang forever. We will collect and generate different test repositories to evaluate the performance of reordering. As well as measure it in time and in space (using profiling).
When a repository has two tags such that neither is a superset of the other, “optimize –reorder” is not idempotent. That is, when this command is run once, one tag is brought up front, and when run again, the other one is brought up front. This seems to be a hole in the specification of the command, and could make two repositories look different while sharing the same history (up to reordering).
Furthermore, we want to take advantage of history reordering to solve a problem that affects developers who use darcs. The command “send” is similar to “push”, to the extent that it is run in some local repository, communicates with a remote repository and proposes the user to choose the patches they want to send to it. The difference is that “push” directly applies the selected patches to the remote repository, while “send” generates a patch bundle (ie, a text file) that is to be transmitted to the owner of the remote repository. They later can apply it to their repository with the command “apply”. The workflow that involves “send” and “apply” permits collaboration to a project without having to give push privileges to contributers. It can also be used on purpose to make all contributions happen in the open (typically on a mailing list), thus promoting code review. This is actually how the development of darcs is occurring.
Now, bundles work well when one uses them “as expected”, that is, a bundle created from repository (ocal) to (emote) will always apply to . But if one wants to apply it to another repository that lacks some patches of , the command will fail. This is because bundles specify the exact context (ie, set of patches) that the destination repository should have. For instance, darcs developers use two development branches: “screened”, where submissions first go without review, and “reviewed” where they go once reviewed. There is no particular order of review of patches, hence it can happen that some patch appear in the context of the bundle of some patch , with and being independent, and that some developer wants to apply first to “screened”. Such a bundle cannot be applied. So the idea is implement the feature “–minimal-context” for the command “send”. This flag would create bundles without any unnecessary patch in their context. We will see whether this option should be activated by default in every cases or only some of them, since it is computationally costful in general.
Finally, we want to implement the functionality that given the repository we can generate the dependency graph of patches. The history of a darcs repository is linear; contrarily to Git or Mercurial, there is no representation as a directed acyclic graph. However, we can construct a directed acyclic graph that represents the dependencies of patches between them. This construction involves exhaustive trying to reorder patches (to discover implicit dependencies between them). Of course for performance reasons, this implementation should probably work by default up to the last tag of the repository and have the option to dig up to the last tags of the history, or completely.
Now, with the posibility of generate the dependency graph of patches we can add two interesting things:
Implement the command “darcs show dependencies”, a command that would export the dependency graph of patches of a repository, letting a third-party software display it. The output format could be discussed, for the moment a output to Graphviz seems a good idea. The command will have a option that permits configure the dig up.
Implement the view of dependency graph of patches to darcsden, with some kind of configuration panel that permits configure the dig up.
Understand and document the current implementation of “optimize –reorder”
Measure it in time and space consumption using real-world and script-generated repositories
Thinking in the option –minimize-context, the option doesn’t exist for the command send. However having understood the algorithm of reordering seems a good step for the implementation.
Implementing “generate the dependency graph of patches”, the command “darcs show dependencies” and integrate the implementation with darcsden.
Weekly documentation is going to be available in my blog.With a final review at the end of the project in darcs wiki.
week 1: Understand the optimize –reorder implementation: collect examples (real-world and script-generated), profile, document (on wiki and code comments)
week 2-4: Improve patch reordering implementation, documenting whether it should be idempotent.
week 5-8: Implement darcs send –minimize-context.
week 9-12: Implementing “generate the dependency graph of patches”, the command “darcs show dependencies” and integrate the implementation with darcsden.
History reordering is omnipresent in darcs. Understanding and improving this operation will enhance the general experience of darcs. Moreover, reordering is involved in the calculation of the dependency graph of the patches of a repository, which is a long wanted feature.
Faster “optimize –reorder”.
“darcs send –minimize-context”.
“darcs show dependencies”.
View of dependency graph of patches for darcsden.
Performance of history reordering is affected by patch-index, a cache data structure that should be updated each time history is changed. One way of dealing with this would be to measure performance without and with patch-index. If there are improvements that can be made to the maintenance of patch-index, we should look into it.
As part of my Phd. i’m taking the course of Domain Theory that involves a “Take-Home” (i am not sure exact when) and the study and oral presentation of a paper related to the course in the last weeks. The course load is four hours per week initiating the 10 of march and finishing 19 of june.
I am Ale from Argentina, currently i’m a Phd. student in computer science. I have been working in haskell for the past 3 years in differents open source project from a group called Theona (), the most interesting things that I have pick up from the experience in those 3 years is that working in haskell is fantastic and working in a friendly environment is the best of the best!