## Problem
Multiple increase/decrease LFC limit may cause unlimited growth of LFC
file because punched holes while LFC shrinking are not reused when LFC
is extended.
## Summary of changes
Keep track of holes and reused them when LFC size is increased.
## Checklist before requesting a review
- [ ] I have performed a self-review of my code.
- [ ] If it is a core feature, I have added thorough tests.
- [ ] Do we need to implement analytics? if so did you add the relevant
metrics to the dashboard?
- [ ] If this PR requires public announcement, mark it with
/release-notes label and add several sentences in this section.
## Checklist before merging
- [ ] Do not forget to reformat commit message to not include the above
checklist
---------
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
## Problem
Current superuser check always passes because it returns a tuple like
`(False,)`, and then the `if not superuser` passes.
## Summary of changes
Fixes the issue by unwrapping the tuple. Verified that it works against
a project where I don't have superuser.
## Problem
When a secondary location is trying to catch up while a tenant is
receiving new writes, it can become quite wasteful:
- Downloading L0s which are soon destroyed by compaction to L1s
- Downloading older layer files which are soon made irrelevant when
covered by image layers.
## Summary of changes
Sort the layer files in the heatmap:
- L0 layers are the lowest priority
- Other layers are sorted to download the highest LSNs first.
Previously, we protected from multiple ProposerElected messages from the same
walproposer with the following condition:
msg.term == self.get_last_log_term() && self.flush_lsn() >
msg.start_streaming_at
It is not exhaustive, i.e. we could still proceed to truncating WAL even though
safekeeper inserted something since the divergence point has been
calculated. While it was most likely safe because walproposer can't use
safekeeper position to commit WAL until last_log_term reaches the current
walproposer term, let's be more careful and properly calculate the divergence
point like walproposer does.
## Problem
https://github.com/neondatabase/neon/pull/8588 implemented the mechanism
for storage controller
leadership transfers. However, there's no tests that exercise the
behaviour.
## Summary of changes
1. Teach `neon_local` how to handle multiple storage controller
instances. Each storage controller
instance gets its own subdirectory (`storage_controller_1, ...`).
`storage_controller start|stop` subcommands
have also been extended to optionally accept an instance id.
2. Add a storage controller proxy test fixture. It's a basic HTTP server
that forwards requests from pageserver
and test env to the currently configured storage controller.
3. Add a test which exercises storage controller leadership transfer.
4. Finally fix a couple bugs that the test surfaced
We've had physical replication support for a long time, but we never
created an RFC for the feature. This RFC does that after the fact. Even
though we've already implemented the feature, let's have a design
discussion as if it hadn't done that. It can still be quite insightful.
This is written from a pretty compute-centric viewpoint, not much
on how it works in the control plane.
## Problem
We want to store Nightly Replication test results in the database and
notify the relevant Slack channel about failures
## Summary of changes
- Store test results in the database
- Notify `on-call-compute-staging-stream` about failures
## Problem
`secrets.GITHUB_TOKEN` (with any permissions) is not enough to get
a user's membership info if they decide to hide it.
## Summary of changes
- Use `secrets.CI_ACCESS_TOKEN` for `gh api` call
- Use `pull_request_target` instead of `pull_request` event to get
access to secrets
## Problem
Logical replication BGW checking replication lag is not reloading config
## Summary of changes
Add handling of reload config request
## Checklist before requesting a review
- [ ] I have performed a self-review of my code.
- [ ] If it is a core feature, I have added thorough tests.
- [ ] Do we need to implement analytics? if so did you add the relevant
metrics to the dashboard?
- [ ] If this PR requires public announcement, mark it with
/release-notes label and add several sentences in this section.
## Checklist before merging
- [ ] Do not forget to reformat commit message to not include the above
checklist
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
Per #8674, disallow node configuration while drain/fill are ongoing.
Implement it by adding a only-http wrapper
`Service::external_node_configure` which checks for operation existing
before configuring.
Additionally:
- allow cancelling drain/fill after a pageserver has restarted and
transitioned to WarmingUp
Fixes: #8674
## Problem
On macOS, clippy fails with the following error:
```
error: unused import: `crate::virtual_file::owned_buffers_io::io_buf_ext::IoBufExt`
--> pageserver/src/tenant/remote_timeline_client/download.rs:26:5
|
26 | use crate::virtual_file::owned_buffers_io::io_buf_ext::IoBufExt;
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
= note: `-D unused-imports` implied by `-D warnings`
= help: to override `-D warnings` add `#[allow(unused_imports)]`
```
Introduced in https://github.com/neondatabase/neon/pull/8717
## Summary of changes
- allow `unused_imports` for
`crate::virtual_file::owned_buffers_io::io_buf_ext::IoBufExt` on macOS
in download.rs
## Problem
The control file contains the id of the safekeeper that uploaded it.
Previously, when sending a snapshot of the control file to another sk,
it would eventually be gc-ed by the receiving sk. This is incorrect
because the original sk might still need it later.
## Summary of Changes
When sending a snapshot and the control file contains an uploaded
segment:
* Create a copy of the segment in s3 with the destination sk in the
object name
* Tweak the streamed control file to point to the object create in the
previous step
Note that the snapshot endpoint now has to know the id of the requestor,
so the api has been extended to include the node if of the destination
sk.
Closes https://github.com/neondatabase/neon/issues/8542
The `tokio_epoll_uring::Slice` / `tokio_uring::Slice` type is weird.
The new `FullSlice` newtype is better. See the doc comment for details.
The naming is not ideal, but we'll clean that up in a future refactoring
where we move the `FullSlice` into `tokio_epoll_uring`. Then, we'll do
the following:
* tokio_epoll_uring::Slice is removed
* `FullSlice` becomes `tokio_epoll_uring::IoBufView`
* new type `tokio_epoll_uring::IoBufMutView` for the current
`tokio_epoll_uring::Slice<IoBufMut>`
Context
-------
I did this work in preparation for
https://github.com/neondatabase/neon/pull/8537.
There, I'm changing the type that the `inmemory_layer.rs` passes to
`DeltaLayerWriter::put_value_bytes` and thus it seemed like a good
opportunity to make this cleanup first.
## Problem
A bunch of small fixes and improvements for CI, that are too small to
have a separate PR for them
## Summary of changes
- CI(build-and-test): fix parenthesis
- CI(actionlint): fix path to workflow file
- CI: remove default args from actions/checkout
- CI: remove `gen3` label, using a couple `self-hosted` +
`small{,-arm64}`/`large{,-arm64}` is enough
- CI: prettify Slack messages, hide links behind text messages
- C(build-and-test): add more dependencies to `conclusion` job
## Problem
It's recommended that a couple of additional RUSTFLAGS be set up to
improve the performance of Rust applications on AWS Graviton.
See
57dc813626/rust.md
Note: Apple Silicon is compatible with neoverse-n1:
```
$ clang --version
Apple clang version 15.0.0 (clang-1500.3.9.4)
Target: arm64-apple-darwin23.6.0
Thread model: posix
InstalledDir: /Applications/Xcode_15.4.app/Contents/Developer/Toolchains/XcodeDefault.xctoolchain/usr/bin
$
$ clang --print-supported-cpus 2>&1 | grep neoverse-
neoverse-512tvb
neoverse-e1
neoverse-n1
neoverse-n2
neoverse-v1
neoverse-v2
```
## Summary of changes
- Add `-Ctarget-feature=+lse -Ctarget-cpu=neoverse-n1` to RUSTFLAGS for
ARM images
Some benchmarks and tests might still fail because of #8655 (tracked in
#8708) because we are not fast enough to shut down ([one evidence]).
Partially this is explained by the current validation mode of streaming
k-merge, but otherwise because that is where we use a lot of time in
compaction. Outside of L0 => L1 compaction, the image layer generation
is already guarded by vectored reads doing cancellation checks.
32768 is a wild guess based on looking how many keys we put in each
layer in a bench (1-2 million), but I assume it will be good enough
divisor. Doing checks more often will start showing up as contention
which we cannot currently measure. Doing checks less often might be
reasonable.
[one evidence]:
https://neon-github-public-dev.s3.amazonaws.com/reports/main/10384136483/index.html#suites/9681106e61a1222669b9d22ab136d07b/96e6d53af234924/
Earlier PR: #8706.
