## Problem
rust 1.79 new enabled by default lints
## Summary of changes
* update to rust 1.79
* `s/default_features/default-features/`
* fix proxy dead code.
* fix pageserver dead code.
## Problem
This PR refactors some error handling to avoid log spam on
tenant/timeline shutdown.
- "ignoring failure to find gc cutoffs: timeline shutting down." logs
(https://github.com/neondatabase/neon/issues/8012)
- "synthetic_size_worker: failed to calculate synthetic size for tenant
...: Failed to refresh gc_info before gathering inputs: tenant shutting
down", for example here:
https://neon-github-public-dev.s3.amazonaws.com/reports/pr-8049/9502988669/index.html#suites/3fc871d9ee8127d8501d607e03205abb/1a074a66548bbcea
Closes: https://github.com/neondatabase/neon/issues/8012
## Summary of changes
- Refactor: Add a PageReconstructError variant to GcError: this is the
only kind of error that find_gc_cutoffs can emit.
- Functional change: only ignore shutdown PageReconstructError variant:
for other variants, treat it as a real error
- Refactor: add a structured CalculateSyntheticSizeError type and use it
instead of anyhow::Error in synthetic size calculations
- Functional change: while iterating through timelines gathering logical
sizes, only drop out if the whole tenant is cancelled: individual
timeline cancellations indicate deletion in progress and we can just
ignore those.
## Problem
Some code paths during secondary mode download are returning Ok() rather
than UpdateError::Cancelled. This is functionally okay, but it means
that the end of TenantDownloader::download has a sanity check that the
progress is 100% on success, and prints a "Correcting drift..." warning
if not. This warning can be emitted in a test, e.g.
https://neon-github-public-dev.s3.amazonaws.com/reports/pr-8049/9503642976/index.html#/testresult/fff1624ba6adae9e.
## Summary of changes
- In secondary download cancellation paths, use
Err(UpdateError::Cancelled) rather than Ok(), so that we drop out of the
download function and do not reach the progress sanity check.
# Problem
Suppose our vectored get starts with an inexact materialized page cache
hit ("cached lsn") that is shadowed by a newer image layer image layer.
Like so:
```
<inmemory layers>
+-+ < delta layer
| |
-|-|----- < image layer
| |
| |
-|-|----- < cached lsn for requested key
+_+
```
The correct visitation order is
1. inmemory layers
2. delta layer records in LSN range `[image_layer.lsn,
oldest_inmemory_layer.lsn_range.start)`
3. image layer
However, the vectored get code, when it visits the delta layer, it
(incorrectly!) returns with state `Complete`.
The reason why it returns is that it calls `on_lsn_advanced` with
`self.lsn_range.start`, i.e., the layer's LSN range.
Instead, it should use `lsn_range.start`, i.e., the LSN range from the
correct visitation order listed above.
# Solution
Use `lsn_range.start` instead of `self.lsn_range.start`.
# Refs
discovered by & fixes https://github.com/neondatabase/neon/issues/6967
Co-authored-by: Vlad Lazar <vlad@neon.tech>
https://github.com/neondatabase/neon/issues/8002
We need mock WAL record to make it easier to write unit tests. This pull
request adds such a record. It has `clear` flag and `append` field. The
tests for legacy-enhanced compaction are not modified yet and will be
part of the next pull request.
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
Some test cases add random keys into the timeline, but it is not part of
the `collect_keyspace`, this will cause compaction remove the keys.
The pull request adds a field to supply extra keyspaces during unit
tests.
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
A demo for a building block for compaction. The GC-compaction operation
iterates all layers below/intersect with the GC horizon, and do a full
layer rewrite of all of them. The end result will be image layer
covering the full keyspace at GC-horizon, and a bunch of delta layers
above the GC-horizon. This helps us collect the garbages of the
test_gc_feedback test case to reduce space amplification.
This operation can be manually triggered using an HTTP API or be
triggered based on some metrics. Actual method TBD.
The test is very basic and it's very likely that most part of the
algorithm will be rewritten. I would like to get this merged so that I
can have a basic skeleton for the algorithm and then make incremental
changes.
<img width="924" alt="image"
src="https://github.com/neondatabase/neon/assets/4198311/f3d49f4e-634f-4f56-986d-bfefc6ae6ee2">
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
We need unique tenant harness names in case you want to inspect the
results of the last failing run. We are not using any proc macros to get
the test name as there is no stable way of doing that, and there will
not be one in the future, so we need to fix these duplicates.
Also, clean up the duplicated tests to not mix `?` and `unwrap/assert`.
We've stored metadata as bytes within the `index_part.json` for
long fixed reasons. #7693 added support for reading out normal json
serialization of the `TimelineMetadata`.
Change the serialization to only write `TimelineMetadata` as json for
going forward, keeping the backward compatibility to reading the
metadata as bytes. Because of failure to include `alias = "metadata"` in
#7693, one more follow-up is required to make the switch from the old
name to `"metadata": <json>`, but that affects only the field name in
serialized format.
In documentation and naming, an effort is made to add enough warning
signs around TimelineMetadata so that it will receive no changes in the
future. We can add those fields to `IndexPart` directly instead.
Additionally, the path to cleaning up `metadata.rs` is documented in the
`metadata.rs` module comment. If we must extend `TimelineMetadata`
before that, the duplication suggested in [review comment] is the way to
go.
[review comment]:
https://github.com/neondatabase/neon/pull/7699#pullrequestreview-2107081558
The new features have deteriorated layer flushing, most recently with
#7927. Changes:
- inline `Timeline::freeze_inmem_layer` to the only caller
- carry the TimelineWriterState guard to the actual point of freezing
the layer
- this allows us to `#[cfg(feature = "testing")]` the assertion added in
#7927
- remove duplicate `flush_frozen_layer` in favor of splitting the
`flush_frozen_layers_and_wait`
- this requires starting the flush loop earlier for `checkpoint_distance
< initdb size` tests
As seen with the pgvector 0.7.0 index builds, we can receive large
batches of images, leading to very large L0 layers in the range of 1GB.
These large layers are produced because we are only able to roll the
layer after we have witnessed two different Lsns in a single
`DataDirModification::commit`. As the single Lsn batches of images can
span over multiple `DataDirModification` lifespans, we will rarely get
to write two different Lsns in a single `put_batch` currently.
The solution is to remember the TimelineWriterState instead of eagerly
forgetting it until we really open the next layer or someone else
flushes (while holding the write_guard).
Additional changes are test fixes to avoid "initdb image layer
optimization" or ignoring initdb layers for assertion.
Cc: #7197 because small `checkpoint_distance` will now trigger the
"initdb image layer optimization"
A simple API to collect some statistics after compaction to easily
understand the result.
The tool reads the layer map, and analyze range by range instead of
doing single-key operations, which is more efficient than doing a
benchmark to collect the result. It currently computes two key metrics:
* Latest data access efficiency, which finds how many delta layers /
image layers the system needs to iterate before returning any key in a
key range.
* (Approximate) PiTR efficiency, as in
https://github.com/neondatabase/neon/issues/7770, which is simply the
number of delta files in the range. The reason behind that is, assume no
image layer is created, PiTR efficiency is simply the cost of collect
records from the delta layers, and the replay time. Number of delta
files (or in the future, estimated size of reads) is a simple yet
efficient way of estimating how much effort the page server needs to
reconstruct a page.
Signed-off-by: Alex Chi Z <chi@neon.tech>
currently we warn even by going over a single byte. even that will be
hit much more rarely once #7927 lands, but get this in earlier.
rationale for 2*checkpoint_distance: anything smaller is not really
worth a warn.
we have an global allowed_error for this warning, which still cannot be
removed nor can it be removed with #7927 because of many tests with very
small `checkpoint_distance`.
M-series macOS has different alignments/size for some fields (which I
did not investigate in detail) and therefore this test cannot pass on
macOS. Fixed by using `<=` for the comparison so that we do not test for
an exact match.
observed by @yliang412
Signed-off-by: Alex Chi Z <chi@neon.tech>
Related to #7341 tenant deletion will end up shutting down timelines
twice, once before actually starting and the second time when per
timeline deletion is requested. Shutting down TimelineMetrics causes
underflows. Add an atomic boolean and only do the shutdown once.
Closes#7406.
## Problem
When a `get_lsn_by_timestamp` request is cancelled, an anyhow error is
exposed to handle that case, which verbosely logs the error. However, we
don't benefit from having the full backtrace provided by anyhow in this
case.
## Summary of changes
This PR introduces a new `ApiError` type to handle errors caused by
cancelled request more robustly.
- A new enum variant `ApiError::Cancelled`
- Currently the cancelled request is mapped to status code 500.
- Need to handle this error in proxy's `http_util` as well.
- Added a failpoint test to simulate cancelled `get_lsn_by_timestamp`
request.
Signed-off-by: Yuchen Liang <yuchen@neon.tech>
## Problem
As described in #7952, the controller's attempt to reconcile a tenant
before finally deleting it can get hung up waiting for the compute
notification hook to accept updates.
The fact that we try and reconcile a tenant at all during deletion is
part of a more general design issue (#5080), where deletion was
implemented as an operation on attached tenant, requiring the tenant to
be attached in order to delete it, which is not in principle necessary.
Closes: #7952
## Summary of changes
- In the pageserver deletion API, only do the traditional deletion path
if the tenant is attached. If it's secondary, then tear down the
secondary location, and then do a remote delete. If it's not attached at
all, just do the remote delete.
- In the storage controller, instead of ensuring a tenant is attached
before deletion, do a best-effort detach of the tenant, and then call
into some arbitrary pageserver to issue a deletion of remote content.
The pageserver retains its existing delete behavior when invoked on
attached locations. We can remove this later when all users of the API
are updated to either do a detach-before-delete. This will enable
removing the "weird" code paths during startup that sometimes load a
tenant and then immediately delete it, and removing the deletion markers
on tenants.
