* ci: skip setup-go cache on self-hosted runners
The module cache is already local on a persistent self-hosted runner;
archiving ~/go/pkg/mod into cache.tzst at every job's end is pure cost
and can stall (a ~4-minute zstdmt hang was observed on awscli-tests).
runner.environment gates the cache to GitHub-hosted runners only.
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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: gate the remaining setup-go caches too
The first pass only covered go-version-file steps; go-version steps in
nine workflows (including awscli-tests' own file) kept uploading the
cache archive on self-hosted runners.
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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
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Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: cancel superseded workflow runs on PR pushes
PR-triggered workflows without a concurrency group keep running (and
holding runner slots) after a force-push or quick follow-up commit
supersedes them. Add the same group/cancel-in-progress block the go
workflow already uses, keyed on head_ref, to the remaining PR workflows.
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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: key concurrency groups on PR number or ref, not head_ref
github.head_ref is empty on tag pushes and manual runs (every run then
shares one group and cancels the last) and collides across forks when
two PRs share a branch name. pull_request.number is unique per PR;
github.ref covers push/tag/dispatch. Applied to all workflows using the
pattern, including pre-existing ones.
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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: restrict cancel-in-progress to PR and branch-push runs
* ci: serialize container_latest manual runs by destination tag
Two workflow_dispatch runs sharing an image_tag could otherwise build
concurrently: their per-arch images publish to the same platform tags,
so one run's create-manifest job can combine platforms from different
source refs. Group dispatch runs by the destination tag (with
cancel-in-progress already disabled for non-PR/non-branch events) so
same-tag publishes queue instead of interleaving.
* ci: serialize manual publish runs by destination tag in remaining container workflows
* ci: group foundationdb release dispatch runs by release tag
A manual run now shares the tag-push concurrency group for the same
release, so a re-publish of a tag queues behind (or ahead of) the push
run instead of racing it on the same image tag.
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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: serialize foundationdb_version dispatch runs by destination tag
Two manual runs resolving to the same docker tag now share a concurrency
group (explicit image_tag, else the computed
foundationdb_<fdb>_seaweedfs_<ref> default), so they queue instead of
racing pushes to the same tag.
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Co-Authored-By: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* ci: drop unsupported toLower() from foundationdb_version concurrency group
* ci: key rocksdb_version dispatch group on its published tag
* ci: queue publish runs via turnstyle instead of cancel-free shared groups
* Revert "ci: queue publish runs via turnstyle instead of cancel-free shared groups"
This reverts commit 039148f8d5.
* ci: queue same-tag publish runs instead of replacing the pending one
Dispatch/tag-only workflows can never cancel in progress, so opt their
concurrency groups into queue: max — up to 100 same-tag publishes wait
in line rather than each new dispatch cancelling the pending one.
---------
Co-authored-by: Devin <158243242+devin-ai-integration[bot]@users.noreply.github.com>
* fix(s3): stop S3 Tables routes from swallowing buckets named "buckets" or "get-table"
The S3 Tables REST endpoints share top-level paths with the regular S3
API (/buckets for ListTableBuckets/CreateTableBucket, /get-table for
GetTable). They are registered first on the same router as the bucket
subrouter, so a path-style request such as GET /buckets?list-type=2 on
a bucket actually named "buckets" matched ListTableBuckets and returned
JSON. AWS SDK V2 (and Hadoop s3a / Spark) then failed XML parsing with
"Unexpected character '{' (code 123) in prolog".
Disambiguate by requiring the AWS V4 credential scope to name the
s3tables service on the colliding routes. Regular S3 SDKs sign with
service=s3, S3 Tables SDKs sign with service=s3tables, and the scope is
present in both the Authorization header and the X-Amz-Credential query
parameter for presigned URLs, so the matcher works for both flavors.
ARN-bearing S3 Tables routes (/buckets/<arn>, /namespaces/<arn>, etc.)
already cannot collide because colons are not valid in bucket names, so
they are left untouched.
* fix(s3): accept AWS JSON RPC content type as S3 Tables intent signal
The Iceberg catalog integration tests send unsigned PUT /buckets with
Content-Type: application/x-amz-json-1.1 to create table buckets. With
only the credential-scope check, those requests fell through to the
regular S3 CreateBucket handler and the suite went red on this branch.
Extend the matcher so a request is recognized as S3 Tables when either:
- its AWS V4 credential scope names SERVICE=s3tables; or
- it carries the canonical AWS JSON RPC 1.1 content type and is
unsigned (a request explicitly signed for SERVICE=s3 still wins).
The regular S3 SDKs do not send application/x-amz-json-1.1, so the
signal is safe for the colliding paths (/buckets, /get-table).
Also add an AWS SDK V2 for Go integration test under
test/s3/sdk_v2_routing/ that drives the SDK's own XML deserializer
against a bucket literally named "buckets" and "get-table" — the SDK
errors before the test asserts if the server returns the wrong body
shape. Wired up via .github/workflows/s3-sdk-v2-routing-tests.yml,
mirroring the etag/acl workflow.
* s3api: extend service matcher to all S3 Tables routes; simplify scope check
- Apply serviceMatcher to every S3 Tables route, not just the bare-path
ones. ARN-bearing paths could otherwise be hit by an S3 object key
that starts with arn:aws:s3tables:..., inside a bucket named
"buckets", "namespaces", "tables", or "tag". One matcher everywhere
closes both collision classes.
- Replace strings.Split + index lookup with strings.Contains for the
credential-scope check. The scope shape is fixed at
AK/DATE/REGION/SERVICE/aws4_request, slashes only delimit components,
and access keys are alphanumeric — so /s3tables/ matches iff SERVICE
is exactly s3tables. Existing unit cases (including the
access-key-substring case) still pass.
- Read the GetObject body in the SDK v2 routing test with io.ReadAll;
the single Read could return short and make the equality check flaky.
* s3api: drop content-type fallback; sign s3 tables harness traffic instead
The content-type fallback in isS3TablesSignedRequest let an anonymous
regular-S3 request whose body type is application/x-amz-json-1.1 hit
an S3 Tables route when the path-style object key happened to be
shaped like an S3 Tables ARN (e.g. PutObject on bucket "buckets"
with key arn:aws:s3tables:.../bucket/foo/policy). Narrow the matcher
back to the AWS V4 credential scope so only requests signed for
SERVICE=s3tables match the S3 Tables routes.
Update the Iceberg catalog test harness — the only caller still
sending unsigned PUT /buckets — to sign with SERVICE=s3tables. The
mini instance runs in default-allow mode, so the signature itself is
not verified; only the credential scope matters for the route match.
Drop the stale unit cases for the JSON-RPC content-type signal and
the routing test that exercised unsigned harness traffic.
