Concurrency

Introduction

Concurrent editing is a key feature of DVCSs -- that's why they're called Distributed Version Control Systems. A DVCS that didn't let users edit files and create commits on separate machines at the same time wouldn't be much of a distributed VCS.

When conflicting changes are made in different clones, a DVCS will have to deal with that when you push or pull. For example, when using Mercurial, if the remote has updated a bookmark called main (Mercurial's bookmarks are similar to a Git's branches) and you had updated the same bookmark locally but made it point to a different target, Mercurial would add a bookmark called main@origin to indicate the conflict. Git instead prevents the conflict by renaming pulled branches to origin/main whether or not there was a conflict. However, most DVCSs treat local concurrency quite differently, typically by using lock files to prevent concurrent edits. Unlike those DVCSs, Jujutsu treats concurrent edits the same whether they're made locally or remotely.

One problem with using lock files is that they don't work when the clone is in a distributed file system. Most clones are of course not stored in distributed file systems, but it is a big problem when they are (Mercurial repos frequently get corrupted, for example).

Another problem with using lock files is related to complexity of implementation. The simplest way of using lock files is to take coarse-grained locks early: every command that may modify the repo takes a lock at the very beginning. However, that means that operations that wouldn't actually conflict would still have to wait for each other. The user experience can be improved by using finer-grained locks and/or taking the locks later. The drawback of that is complexity. For example, you need to verify that any assumptions you made before locking are still valid after you take the lock.

To avoid depending on lock files, Jujutsu takes a different approach by accepting that concurrent changes can always happen. It instead exposes any conflicting changes to the user, much like other DVCSs do for conflicting changes made remotely.

Syncing with rsync, NFS, Dropbox, etc

Jujutsu's lock-free concurrency means that it's possible to update copies of the clone on different machines and then let rsync (or Dropbox, or NFS, etc.) merge them. The working copy may mismatch what's supposed to be checked out, but no changes to the repo will be lost (added commits, moved bookmarks, etc.). If conflicting changes were made, they will appear as conflicts. For example, if a bookmark was moved to two different locations, they will appear in jj log in both locations but with a "?" after the name, and jj status will also inform the user about the conflict.

Note that, for now, there are known bugs in this area. Most notably, with the Git backend, repository corruption is possible because the backend is not entirely lock-free. If you know about the bug, it is relatively easy to recover from.

Moreover, such use of Jujutsu is not currently thoroughly tested, especially in the context of co-located repositories. While the contents of commits should be safe, concurrent modification of a repository from different computers might conceivably lose some bookmark pointers. Note that, unlike in pure Git, losing a bookmark pointer does not lead to losing commits.

Operation log

The most important piece in the lock-free design is the "operation log". That is what allows us to detect and merge divergent operations.

The operation log is similar to a commit DAG (such as in Git's object model), but each commit object is instead an "operation" and each tree object is instead a "view". The view object contains the set of visible head commits, bookmarks, tags, and the working-copy commit in each workspace. The operation object contains a pointer to the view object (like how commit objects point to tree objects), pointers to parent operation(s) (like how commit objects point to parent commit(s)), and metadata about the operation. These types are defined in op_store.proto The operation log is normally linear. It becomes non-linear if there are divergent operations.

When a command starts, it loads the repo at the latest operation. Because the associated view object completely defines the repo state, the running command will not see any changes made by other processes thereafter. When the operation completes, it is written with the start operation as parent. The operation cannot fail to commit (except for disk failures and such). It is left for the next command to notice if there were divergent operations. It will have to be able to do that anyway since the concurrent operation could have arrived via a distributed file system. This model -- where each operation sees a consistent view of the repo and is guaranteed to be able to commit their changes -- greatly simplifies the implementation of commands.

It is possible to load the repo at a particular operation with jj --at-operation=<operation ID> <command>. If the command is mutational, that will result in a fork in the operation log. That works exactly the same as if any later operations had not existed when the command started. In other words, running commands on a repo loaded at an earlier operation works the same way as if the operations had been concurrent. This can be useful for simulating divergent operations.

Merging divergent operations

If Jujutsu tries to load the repo and finds multiple heads in the operation log, it will do a 3-way merge of the view objects based on their common ancestor (possibly several 3-way merges if there were more than two heads). Conflicts are recorded in the resulting view object. For example, if bookmark main was moved from commit A to commit B in one operation and moved to commit C in a concurrent operation, then main will be recorded as "moved from A to B or C". See the RefTarget definition in op_store.proto.

Because we allow bookmarks (etc.) to be in a conflicted state rather than just erroring out when there are multiple heads, the user can continue to use the repo, including performing further operations on the repo. Of course, some commands will fail when using a conflicted bookmark. For example, jj checkout main when main is in a conflicted state will result in an error telling you that main resolved to multiple revisions.

Storage

The operation objects and view objects are stored in content-addressed storage just like Git commits are. That makes them safe to write without locking.

We also need a way of finding the current head of the operation log. We do that by keeping the ID of the current head(s) as a file in a directory. The ID is the name of the file; it has no contents. When an operation completes, we add a file pointing to the new operation and then remove the file pointing to the old operation. Writing the new file is what makes the operation visible (if the old file didn't get properly deleted, then future readers will take care of that). This scheme ensures that transactions are atomic.