Re: [BuildStream] Partial local CAS
- From: Jim MacArthur <jim macarthur codethink co uk>
- To: buildstream-list gnome org
- Subject: Re: [BuildStream] Partial local CAS
- Date: Fri, 23 Nov 2018 17:05:19 +0000
On 08/11/2018 22:01, Sander Striker via BuildStream-list wrote:
Hi,
After the exchange in the "Coping with partial artifacts" thread, I
realize that we haven't actually had a conversation on list about
partial local CAS, and by extension local ArtifactCache. Let me first
explain what I mean with partial local CAS. Let's define it as a CAS
that contains Tree and Directory nodes, but not the [all of] actual
file content blobs.
I'll outline the context and importance of this concept. In remote
execution builds do not run on the local machine. As such to be able
to perform a build, it is important to be able to _describe_ the
inputs to a build. When all of the input files are locally available,
this can be done. However, when the input files are not locally
available, should we then incur the cost of fetching them? Is there
another way?
To answer that question let's review how remote execution is supposed
to work again in the context of BuildStream. To build an element:
1) Compose a merkle tree of all dependencies, and all sources
2) Create a Command and an Action message
3) FindMissingBlobs(command, action, blobs in the merkle tree)
4) Upload the missing blobs
5) Submit the request to the execution service
6) Wait for the request to complete
7) Download the result merkle tree
8) Construct a merkle tree for the Artifact (based on the result)
9) FindMissingBlobs(blobs in the artifact merkle tree)
10) Upload the missing blobs
11) Store a ref to the artifact merkle tree in ArtifactCache
Let's dive in a bit and look where the inefficiencies are in the
current implementation.
Step 1 happens during staging. More specifically in
buildelement.py:stage(). We start with the dependencies. For
directories backed by CAS, we don't need to actually stage them on the
filesystem. We can import files between CAS directories by reference
(hash), without even needing the files locally. This isn't currently
implemented (_casbaseddirectory.py:import_files), but that should
change with CAS-to-CAS import (MR !911).
After the depencies are staged, we move on to the sources. Currently
this is still fairly clunky, as we are actually staging sources on the
filesystem and then importing that into our virtual staging directory
(element.py:_stage_sources_at). With SourceCache this should be as
efficient as staging dependencies for non-modified elements.
Step 2 through 11 all happen during _sandboxremote.py:run().
Step 2-4 aren't currently implemented in this fashion, and instead
serially call a number of network RPCs. In _sandboxremote.py:run() a
call is made to cascache.push_directory(). This will push up any
missing directory nodes, or any missing files.
In _sandboxremote:run_remote_command() we are using
cascache.push_message(), followed by cascache.verify_digest_pushed().
This results in a Write RPC, followed by a FindMissingBlobs RPC. For
both the Command and the Action. In short, we could be eliminating a
couple of RPCs and thus network roundrips here.
I'll skip over step 5-6 as these are not very interesting. Although it
should be noted that _sandboxremote.py:run() is ignoring the build
logs from the execution response.
In step 7, which happens in _sandboxremote.py:process_job_output(), we
take a Tree digest that we received from the execution service, and
use it in a call to cascache.pull_tree(). This will fetch all of the
file blobs that are present in the tree that are not available
locally. It will also store all of the directory nodes that are
referenced in the tree, and return the root digest. This is used to
construct the result virtual directory of the sandbox.
In step 8 we go back to constructing a file system representation of
the artifact, instead of using a CAS backed directory. This happens
in element.py:assemble() through a call to cascache.commit(). This
will do a local filesystem import of files, the majority of which we
exported in step 7. It will put an entry in the local ArtifactCache.
Step 9-11 happen during the push phase. Here we rely on
cascache.push() to ensure that the artifact is made available on the
remote CAS server.
Sidenote while we're here: apart from step 9-11 we don't actually make
it clear to the scheduler which resources are needed. As far as it is
concerned a remote build job is currently taking up PROCESS tokens.
If you made it all the way here, thank you :). I think we need to
eliminate the unneeded filesystem access first.
I think there are two things we can do right now which won't be
controversial:
1) Remove the calls to verify_digest_pushed - on inspection of the code,
I'm now convinced these cannot do anything useful and were just added to
be defensive.
2) Alter Element._cache_artifact so it uses the virtual directory system
instead of a plain filing system.
Now I've caught up on the partial CAS discussion, I have quite a few
questions about it, but I'll put them in a separate email.
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