139 lines
6.4 KiB
Markdown
139 lines
6.4 KiB
Markdown
Say we have 2 backup drives and want to fill them both evenly with files,
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different files in each drive. Currently, preferred content cannot express
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that entirely:
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* One way is to use a-m* and n-z*, but that's unlikely to split filenames evenly.
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* Or, can let both repos take whatever files, perhaps at random, that the
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other repo is not know to contain, but then repos will race and both get
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the same file, or similarly if they are not communicating frequently.
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So, let's add a new expression: `balanced(group)`
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This would work by taking the list of uuids of all repositories in the
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group, and sorting them, which yields a list from 0..M-1 repositories.
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To decide which repository wants key K, convert K to a number N in some
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stable way and then `N mod M` yields the number of the repository that
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wants it, while all the rest don't.
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(Since git-annex keys can be pretty long and not all of them are random
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hashes, let's md5sum the key and then use the md5 as a number.)
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This expression is stable as long as the members of the group don't change.
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I think that's stable enough to work as a preferred content expression.
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Now, you may want to be able to add a third repo and have the data be
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rebalanced, with some moving to it. And that would happen. However, as this
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scheme stands, it's equally likely that adding repo3 will make repo1 and
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repo2 want to swap files between them. So, we'll want to add some
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precautions to avoid a lot of data moving around in this case:
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((balanced(backup) and not (copies=backup:1)) or present
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So once file lands on a backup drive, it stays there, even if more backup
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drives change the balancing.
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-----
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Some limitations:
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* The item size is not taken into account. One repo could end up with a
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much larger item or items and so fill up faster. And the other repo
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wouldn't then notice it was full and take up some slack.
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* With the complicated expression above, adding a new repo when one
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is full would not necessarily result in new files going to one of the 2
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repos that still have space. Some items would end up going to the full
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repo.
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These can be dealt with by noticing when a repo is full and moving some
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of it's files (any will do) to other repos in its group. I don't see a way
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to make preferred content express that movement though; it would need to be
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a manual/scripted process.
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> Could the size of each repo be recorded (either actual disk size or
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> desired max size) and when a repo is too full to hold an object, be left
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> out of the set of repos used to calculate where to store that object?
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>
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> With the preferred content expression above with "present" in it,
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> a repo being full would not cause any content to be moved off of it,
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> only new content that had not yet reached any of the repos in the
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> group would be affected. That seems good.
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>
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> This would need only a single one-time write to the git-annex branch,
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> to record the repo size. Then update a local counter for each repository
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> from the git-annex branch location log changes.
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> There is a todo about doing this,
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> [[todo/track_free_space_in_repos_via_git-annex_branch]].
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>
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> Of course, in the time after the git-annex branch was updated and before
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> it reaches the local repo, a repo can be full without us knowing about
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> it. Stores to it would fail, and perhaps be retried, until the updated
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> git-annex branch was synced.
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-----
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What if we have 5 backup repos and want each file to land in 3 of them?
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There's a simple change that can support that:
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`balanced(group:3)`
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This works the same as before, but rather than just `N mod M`, take
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`N+I mod M` where I is [0..2] to get the list of 3 repositories that want a
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key.
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This does not really avoid the limitations above, but having more repos
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that want each file will reduce the chances that no repo will be able to
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take a given file. In the [[iabackup]] scenario, new clients will just be
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assigned until all the files reach the desired level or replication.
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However.. Imagine there are 9 repos, all full, and some files have not
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reached desired level of replication. Seems like adding 1 more repo will make
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only 3 in 10 files be wanted by that new repo. Even if the repo has space
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for all the files, it won't be sufficient, and more repos would need to be
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added.
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One way to avoid this problem would be if the preferred content was only
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used for the initial distribution of files to a repo. If the repo has
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gotten all the files it wants, it could make a second pass and
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opportunistically get files it doesn't want but that it has space for
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and that don't have enough copies yet.
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Although this gets back to the original problem of multiple repos racing
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downloads and files getting more than the desired number of copies.
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> With the above idea of tracking when repos are full, the new repo
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> would want all files when the other 9 repos are full.
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----
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Of course this is not limited to backup drives. A more complicated example:
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There are 4 geographically distributed datacenters, each of which has some
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number of drives. Each file should have 1 copy stored in each datacenter,
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on some drive there.
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This can be implemented by making a group for each datacenter, which all of
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its drives are in, and using `balanced()` to pick the drive that holds the
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copy of the file. The preferred content expression would be eg:
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((balanced(datacenterA) and not (copies=datacenterA:1)) or present
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In such a situation, to avoid a `N^2` remote interconnect, there might be a
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transfer repository in each datacenter, that is in front of its drives. The
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transfer repository should want files that have not yet reached the
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destination drive. How to write a preferred content expression for that?
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It might be sufficient to use `copies=datacenterA:1`, so long as the file
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reaching any drive in the datacenter is enough. But may want to add
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something analagous to `inallgroup=` that checks if a file is in
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the place that `balanced()` picks for a group. Eg,
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`balancedgroup=datacenterA` for 1 copy and `balancedgroup=group:datacenterA:2`
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for N copies.
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----
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Another possibility to think about is to have one repo calculate which
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files to store on which repos, to best distribute and pack them. The first
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repo that writes a solution would win and other nodes would work to move
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files around as needed.
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In a split brain situation, there would be sets of repos doing work toward
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different solutions. On merge it would make sense to calculate a new
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solution that takes that work into account as well as possible. (Some work
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would surely have been in vain.)
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