## Problem
This test could occasionally trigger a "removing local file ... because
it has unexpected length log" when using the
`compact-shard-ancestors-persistent` failpoint is in use, which is
unexpected because that failpoint stops the process when the remote
metadata is in sync with local files.
It was because there are two shards on the same pageserver, and while
the one being compacted explicitly stops at the failpoint, another shard
was compacting in the background and failing at an unclean point. The
test intends to disable background compaction, but was mistakenly
revoking the value of `compaction_period` when it updated
`pitr_interval`.
Example failure:
https://neon-github-public-dev.s3.amazonaws.com/reports/pr-8123/9602976462/index.html#/testresult/7dd6165da7daef40
## Summary of changes
- Update `TENANT_CONF` in the test to use properly typed values, so that
it is usable in pageserver APIs as well as via neon_local.
- When updating tenant config with `pitr_interval`, retain the overrides
from the start of the test, so that there won't be any background
compaction going on during the test.
## Problem
Fixes https://github.com/neondatabase/neon/issues/1287
## Summary of changes
tokio-postgres now supports arbitrary server params through the
`param(key, value)` method. Some keys are special so we explicitly
filter them out.
## Problem
For testing, the storage controller has a built-in hack that loads
neon_local endpoint config from disk, and uses it to reconfigure
endpoints when the attached pageserver changes.
Some tests that stop an endpoint while the storage controller is running
could occasionally fail on log errors from the controller trying to use
its special test-mode calls into neon local Endpoint.
Example:
https://neon-github-public-dev.s3.amazonaws.com/reports/pr-8117/9592392425/index.html#/testresult/9d2bb8623d0d53f8
## Summary of changes
- Give NotifyError an explicit NeonLocal variant, to avoid munging these
into generic 500s (I don't want to ignore 500s in general)
- Allow-list errors related to the local notification hook.
The expectation is that tests using endpoints/workloads should be
independently checking that those endpoints work: if neon_local
generates an error inside the storage controller, that's ignorable.
## Problem
There's no way to cancel drain and fill operations.
## Summary of changes
Implement HTTP endpoints to allow cancelling of background operations.
When the operationis cancelled successfully, the node scheduling policy will revert to
`Active`.
In #7957 we enabled deletion without attachment, but retained the
old-style deletion (return 202, delete in background) for attached
tenants. In this PR, we remove the old-style deletion path, such that if
the tenant delete API is invoked while a tenant is detached, it is
simply detached before completing the deletion.
This intentionally doesn't rip out all the old deletion code: in case a
deletion was in progress at time of upgrade, we keep around the code for
finishing it for one release cycle. The rest of the code removal happens
in https://github.com/neondatabase/neon/pull/8091
Now that deletion will always be via the new path, the new path is also
updated to use some retries around remote storage operations, to
tripping up the control plane with 500s if S3 has an intermittent issue.
## Problem
see https://github.com/neondatabase/neon/issues/8070
## Summary of changes
the neon_local subcommands to
- start neon
- start pageserver
- start safekeeper
- start storage controller
get a new option -t=xx or --start-timeout=xx which allows to specify a
longer timeout in seconds we wait for the process start.
This is useful in test cases where the pageserver has to read a lot of
layer data, like in pagebench test cases.
In addition we exploit the new timeout option in the python test
infrastructure (python fixtures) and modify the flaky testcase to
increase the timeout from 10 seconds to 1 minute.
Example from the test execution
```bash
RUST_BACKTRACE=1 NEON_ENV_BUILDER_USE_OVERLAYFS_FOR_SNAPSHOTS=1 DEFAULT_PG_VERSION=15 BUILD_TYPE=release ./scripts/pytest test_runner/performance/pageserver/pagebench/test_pageserver_max_throughput_getpage_at_latest_lsn.py
...
2024-06-19 09:29:34.590 INFO [neon_fixtures.py:1513] Running command "/instance_store/neon/target/release/neon_local storage_controller start --start-timeout=60s"
2024-06-19 09:29:36.365 INFO [broker.py:34] starting storage_broker to listen incoming connections at "127.0.0.1:15001"
2024-06-19 09:29:36.365 INFO [neon_fixtures.py:1513] Running command "/instance_store/neon/target/release/neon_local pageserver start --id=1 --start-timeout=60s"
2024-06-19 09:29:36.366 INFO [neon_fixtures.py:1513] Running command "/instance_store/neon/target/release/neon_local safekeeper start 1 --start-timeout=60s"
```
## Problem
These APIs have be unused for some time. They were superseded by
/location_conf: the equivalent of ignoring a tenant is now to put it in
secondary mode.
## Summary of changes
- Remove APIs
- Remove tests & helpers that used them
- Remove error variants that are no longer needed.
## Problem
When creating a new shard the storage controller schedules via
Scheduler::schedule_shard. This does not take into account the number of
attached shards. What it does take into account is the node affinity:
when a shard is scheduled, all its nodes (primaries and secondaries) get
their affinity incremented.
For two node clusters and shards with one secondary we have a
pathological case where all primaries are scheduled on the same node.
Now that we track the count of attached shards per node, this is trivial
to fix. Still, the "proper" fix is to use the pageserver's utilization
score.
Closes https://github.com/neondatabase/neon/issues/8041
## Summary of changes
Use attached shard count when deciding which node to schedule a fresh
shard on.
part of Epic https://github.com/neondatabase/neon/issues/7386
# Motivation
The materialized page cache adds complexity to the code base, which
increases the maintenance burden and risk for subtle and hard to
reproduce bugs such as #8050.
Further, the best hit rate that we currently achieve in production is ca
1% of materialized page cache lookups for
`task_kind=PageRequestHandler`. Other task kinds have hit rates <0.2%.
Last, caching page images in Pageserver rewards under-sized caches in
Computes because reading from Pageserver's materialized page cache over
the network is often sufficiently fast (low hundreds of microseconds).
Such Computes should upscale their local caches to fit their working
set, rather than repeatedly requesting the same page from Pageserver.
Some more discussion and context in internal thread
https://neondb.slack.com/archives/C033RQ5SPDH/p1718714037708459
# Changes
This PR removes the materialized page cache code & metrics.
The infrastructure for different key kinds in `PageCache` is left in
place, even though the "Immutable" key kind is the only remaining one.
This can be further simplified in a future commit.
Some tests started failing because their total runtime was dependent on
high materialized page cache hit rates. This test makes them
fixed-runtime or raises pytest timeouts:
* test_local_file_cache_unlink
* test_physical_replication
* test_pg_regress
# Performance
I focussed on ensuring that this PR will not result in a performance
regression in prod.
* **getpage** requests: our production metrics have shown the
materialized page cache to be irrelevant (low hit rate). Also,
Pageserver is the wrong place to cache page images, it should happen in
compute.
* **ingest** (`task_kind=WalReceiverConnectionHandler`): prod metrics
show 0 percent hit rate, so, removing will not be a regression.
* **get_lsn_by_timestamp**: important API for branch creation, used by
control pane. The clog pages that this code uses are not
materialize-page-cached because they're not 8k. No risk of introducing a
regression here.
We will watch the various nightly benchmarks closely for more results
before shipping to prod.
## Problem
Ahem, let's try this again.
https://github.com/neondatabase/neon/pull/8110 had a spooky failure in
test_multi_attach where a call to Endpoint.stop() timed out waiting for
a lock, even though we can see an earlier call completing and releasing
the lock. I suspect something weird is going on with the way pytest runs
tests across processes, or use of asyncio perhaps.
Anyway: the simplest fix is to just use a semaphore instead: if we don't
lock we can't deadlock.
## Summary of changes
- Make Endpoint.running a semaphore, where we add a unit to its counter
when starting the process and atomically decrement it when stopping.
## Problem
`test_pageserver_max_throughput_getpage_at_latest_lsn` is a pagebench
testcase which creates several tenants/timelines to verify pageserver
performance.
The test swaps environments around in the tenant duplication stage, so
the storage controller uses two separate db instances (one in the
duplication stage and another one in the benchmarking stage).
In the benchmarking stage, the storage controller starts without any
knowledge of nodes, but with knowledge of tenants (via
attachments.json). When we re-attach and attempt to update the scheduler
stats, the scheduler rightfully complains
about the node not being known. The setup should preserve the storage
controller across the two envs, but i think it's fine to just allow list
the error in this case.
## Summary of changes
add the error message
`2024-06-19T09:38:27.866085Z ERROR Scheduler missing node 1``
to the list of allowed errors for storage_controller
## Problem
Tests using the `Workload` helper would occasionally fail in a strange
way, where the endpoint appears to try and stop twice concurrently, and
the second stop fails because the pidfile is already gone.
`test_multi_attach` suffered from this.
Workload has a `__del__` that stops the endpoint, and python is
destroying this object in a different thread than NeonEnv.stop is
called, resulting in racing stop() calls. Endpoint has a `running`
attribute that avoids calling neon_local's stop twice, but that doesn't
help in the concurrent case.
## Summary of changes
- Make `Endpoint.stop` thread safe with a simple lock held across the
updates to `running` and the actual act of stopping it.
One could also work around this by letting Workload.endpoint outlive the
Workload, or making Workload a context manager, but this change feels
most robust, as it avoids all test code having to know that it must not
try and stop an endpoint from a destructor.
## Problem
We have this set of test utilities which duplicate a tenant by copying
everything that's in remote storage and then attaching a tenant to the
pageserver and storage controller. When the "copied tenants" are created
on the storage controller, they start off from generation number 0. This
means that they can't see anything past that generation.
This issues has existed ever since generation numbers have been
introduced, but we've largely been lucky
for the generation to stay stable during the template tenant creation.
## Summary of Changes
Extend the storage controller debug attach hook to accept a generation
override. Use that in the tenant duplication logic to set the generation
number to something greater than the naturally reached generation. This
allows the tenants to see all layer files.
## Problem
Pageserver restarts cause read availablity downtime for tenants. See
`Motivation` section in the
[RFC](https://github.com/neondatabase/neon/pull/7704).
## Summary of changes
* Introduce a new `NodeSchedulingPolicy`: `PauseForRestart`
* Implement the first take of drain and fill algorithms
* Add a node status endpoint which can be polled to figure out when an
operation is done
The implementation follows the RFC, so it might be useful to peek at it
as you're reviewing.
Since the PR is rather chunky, I've made sure all commits build (with
warnings), so you can
review by commit if you prefer that.
RFC: https://github.com/neondatabase/neon/pull/7704
Related https://github.com/neondatabase/neon/issues/7387
Part of #7497, extracts from #7996, closes#8063.
## Problem
With the LSN lease API introduced in
https://github.com/neondatabase/neon/issues/7808, we want to implement
the real lease logic so that GC will
keep all the layers needed to reconstruct all pages at all the leased
LSNs with valid leases at a given time.
Signed-off-by: Yuchen Liang <yuchen@neon.tech>
- Make safekeeper read SAFEKEEPER_AUTH_TOKEN env variable with JWT
token to connect to other safekeepers.
- Set it in neon_local when auth is enabled.
- Create simple rust http client supporting it, and use it in pull_timeline
implementation.
- Enable auth in all pull_timeline tests.
- Make sk http_client() by default generate safekeeper wide token, it makes
easier enabling auth in all tests by default.
- Add /snapshot http endpoing streaming tar archive timeline contents up to
flush_lsn.
- Add check that term doesn't change, corresponding test passes now.
- Also prepares infra to hold off WAL removal during the basebackup.
- Sprinkle fsyncs to persist the pull_timeline result.
ref https://github.com/neondatabase/neon/issues/6340
## Problem
```
ERROR synthetic_size_worker: failed to calculate synthetic size for tenant ae449af30216ac56d2c1173f894b1122: Could not find size at 0/218CA70 in timeline d8da32b5e3e0bf18cfdb560f9de29638\n')
```
e.g.
https://neon-github-public-dev.s3.amazonaws.com/reports/main/9518948590/index.html#/testresult/30a6d1e2471d2775
This test had allow lists but was disrupted by
https://github.com/neondatabase/neon/pull/8051. In that PR, I had kept
an error path in fill_logical_sizes that covered the case where we
couldn't find sizes for some of the segments, but that path could only
be hit in the case that some Timeline was shut down concurrently with a
synthetic size calculation, so it makes sense to just leave the
segment's size None in this case: the subsequent size calculations do
not assume it is Some.
## Summary of changes
- Remove `CalculateSyntheticSizeError::LsnNotFound` and just proceed in
the case where we used to return it
- Remove defunct allow list entries in `test_metric_collection`
## Problem
A period of unavailability for all pageservers in a cluster produced the
following fallout in staging:
all tenants became detached and required manual operation to re-attach.
Manually restarting
the storage controller re-attached all tenants due to a consistency bug.
Turns out there are two related bugs which caused the issue:
1. Pageserver re-attach can be processed before the first heartbeat.
Hence, when handling
the availability delta produced by the heartbeater,
`Node::get_availability_transition` claims
that there's no need to reconfigure the node.
2. We would still attempt to reschedule tenant shards when handling
offline transitions even
if the entire cluster is down. This puts tenant shards into a state
where the reconciler believes
they have to be detached (no pageserver shows up in their intent state).
This is doubly wrong
because we don't mark the tenant shards as detached in the database,
thus causing memory vs
database consistency issues. Luckily, this bug allowed all tenant shards
to re-attach after restart.
## Summary of changes
* For (1), abuse the fact that re-attach requests do not contain an
utilisation score and use that
to differentiate from a node that replied to heartbeats.
* For (2), introduce a special case that skips any rescheduling if the
entire cluster is unavailable.
* Update the storage controller heartbeat test with an extra scenario
where the entire cluster goes
for lunch.
Fixes https://github.com/neondatabase/neon/issues/8044
## Problem
halfvec data type was introduced in pgvector 0.7.0 and is popular
because
it allows smaller vectors, smaller indexes and potentially better
performance.
So far we have not tested halfvec in our periodic performance tests.
This PR adds halfvec indexing and halfvec queries to the test.
## 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
This test could fail with a timeout waiting for tenant deletions.
Tenant deletions could get tripped up on nodes transitioning from
offline to online at the moment of the deletion. In a previous
reconciliation, the reconciler would skip detaching a particular
location because the node was offline, but then when we do the delete
the node is marked as online and can be picked as the node to use for
issuing a deletion request. This hits the "Unexpectedly still attached
path", which would still work if the caller kept calling DELETE, but if
a caller does a Delete,get,get,get poll, then it doesn't work because
the GET calls fail after we've marked the tenant as detached.
## Summary of changes
Fix the undesirable storage controller behavior highlighted by this test
failure:
- Change tenant deletion flow to _always_ wait for reconciliation to
succeed: it was unsound to proceed and return 202 if something was still
attached, because after the 202 callers can no longer GET the tenant.
Stabilize the test:
- Add a reconcile_until_idle to the test, so that it will not have
reconciliations running in the background while we mark a node online.
This test is not meant to be a chaos test: we should test that kind of
complexity elsewhere.
- This reconcile_until_idle also fixes another failure mode where the
test might see a None for a tenant location because a reconcile was
mutating it
(https://neon-github-public-dev.s3.amazonaws.com/reports/pr-7288/9500177581/index.html#suites/8fc5d1648d2225380766afde7c428d81/4acece42ae00c442/)
It remains the case that a motivated tester could produce a situation
where a DELETE gives a 500, when precisely the wrong node transitions
from offline to available at the precise moment of a deletion (but the
500 is better than returning 202 and then failing all subsequent GETs).
Note that nodes don't go through the offline state during normal
restarts, so this is super rare. We should eventually fix this by making
DELETE to the pageserver implicitly detach the tenant if it's attached,
but that should wait until nobody is using the legacy-style deletes (the
ones that use 202 + polling)
This failed once with `relation "test" does not exist` when trying to
run the query on the standby. It's possible that the standby is started
before the CREATE TABLE is processed in the pageserver, and the standby
opens up for queries before it has received the CREATE TABLE transaction
from the primary. To fix, wait for the standby to catch up to the
primary before starting to run the queries.
https://neon-github-public-dev.s3.amazonaws.com/reports/pr-8025/9483658488/index.html
If a standby is started right after switching to a new WAL segment, the
request in the SLRU download request would point to the beginning of the
segment (e.g. 0/5000000), while the not-modified-since LSN would point
to just after the page header (e.g. 0/5000028). It's effectively the
same position, as there cannot be any WAL records in between, but the
pageserver rightly errors out on any request where the request LSN <
not-modified since LSN.
To fix, round down the not-modified since LSN to the beginning of the
page like the request LSN.
Fixes issue #8030
## Problem
Testcase page bench test_pageserver_max_throughput_getpage_at_latest_lsn
had been deactivated because it was flaky.
We now ignore copy fail error messages like in
270d3be507/test_runner/regress/test_pageserver_getpage_throttle.py (L17-L20)
and want to reactivate it to see it it is still flaky
## Summary of changes
- reactivate the test in CI
- ignore CopyFail error message during page bench test cases
## 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
- Split the first and second parts of the test to two separate tests
- In the first test, disable the aggressive GC, compaction, and
autovacuum. They are only needed by the second test. I'd like to get the
first test to a point that the VM page is never all-zeros. Disabling
autovacuum in the first test is hopefully enough to accomplish that.
- Compare the full page images, don't skip page header. After fixing the
previous point, there should be no discrepancy. LSN still won't match,
though, because of commit 387a36874c.
Fixes issue https://github.com/neondatabase/neon/issues/7984
The S3 scrubber contains "S3" in its name, but we want to make it
generic in terms of which storage is used (#7547). Therefore, rename it
to "storage scrubber", following the naming scheme of already existing
components "storage broker" and "storage controller".
Part of #7547
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
Quite a few existing test cases create their own timelines instead of
using the default one. This pull request highlights that and hopefully
people can write simpler tests in the future.
Signed-off-by: Alex Chi Z <chi@neon.tech>
Co-authored-by: Yuchen Liang <70461588+yliang412@users.noreply.github.com>
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>
In #7927 I needed to fix this test case, but the fixes should be
possible to land irrespective of the layer ingestion code change.
The most important fix is the behavior if an image layer is found: the
assertion message formatting raises a runtime error, which obscures the
fact that we found an image layer.
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.
fixes https://github.com/neondatabase/neon/issues/7790 (duplicating most
of the issue description here for posterity)
# Background
From the time before always-authoritative `index_part.json`, we had to
handle duplicate layers. See the RFC for an illustration of how
duplicate layers could happen:
a8e6d259cb/docs/rfcs/027-crash-consistent-layer-map-through-index-part.md (L41-L50)
As of #5198 , we should not be exposed to that problem anymore.
# Problem 1
We still have
1. [code in
Pageserver](82960b2175/pageserver/src/tenant/timeline.rs (L4502-L4521))
than handles duplicate layers
2. [tests in the test
suite](d9dcbffac3/test_runner/regress/test_duplicate_layers.py (L15))
that demonstrates the problem using a failpoint
However, the test in the test suite doesn't use the failpoint to induce
a crash that could legitimately happen in production.
What is does instead is to return early with an `Ok()`, so that the code
in Pageserver that handles duplicate layers (item 1) actually gets
exercised.
That "return early" would be a bug in the routine if it happened in
production.
So, the tests in the test suite are tests for their own sake, but don't
serve to actually regress-test any production behavior.
# Problem 2
Further, if production code _did_ (it nowawdays doesn't!) create a
duplicate layer, the code in Pageserver that handles the condition (item
1 above) is too little and too late:
* the code handles it by discarding the newer `struct Layer`; that's
good.
* however, on disk, we have already overwritten the old with the new
layer file
* the fact that we do it atomically doesn't matter because ...
* if the new layer file is not bit-identical, then we have a cache
coherency problem
* PS PageCache block cache: caches old bit battern
* blob_io offsets stored in variables, based on pre-overwrite bit
pattern / offsets
* => reading based on these offsets from the new file might yield
different data than before
# Solution
- Remove the test suite code pertaining to Problem 1
- Move & rename test suite code that actually tests RFC-27
crash-consistent layer map.
- Remove the Pageserver code that handles duplicate layers too late
(Problem 1)
- Use `RENAME_NOREPLACE` to prevent over-rename the file during
`.finish()`, bail with an error if it happens (Problem 2)
- This bailing prevents the caller from even trying to insert into the
layer map, as they don't even get a `struct Layer` at hand.
- Add `abort`s in the place where we have the layer map lock and check
for duplicates (Problem 2)
- Note again, we can't reach there because we bail from `.finish()` much
earlier in the code.
- Share the logic to clean up after failed `.finish()` between image
layers and delta layers (drive-by cleanup)
- This exposed that test `image_layer_rewrite` was overwriting layer
files in place. Fix the test.
# Future Work
This PR adds a new failure scenario that was previously "papered over"
by the overwriting of layers:
1. Start a compaction that will produce 3 layers: A, B, C
2. Layer A is `finish()`ed successfully.
3. Layer B fails mid-way at some `put_value()`.
4. Compaction bails out, sleeps 20s.
5. Some disk space gets freed in the meantime.
6. Compaction wakes from sleep, another iteration starts, it attempts to
write Layer A again. But the `.finish()` **fails because A already
exists on disk**.
The failure in step 5 is new with this PR, and it **causes the
compaction to get stuck**.
Before, it would silently overwrite the file and "successfully" complete
the second iteration.
The mitigation for this is to `/reset` the tenant.
## Problem
This was an oversight when adding heatmaps: because they are at the top
level of the tenant, they aren't included in the catch-all list & delete
that happens for timeline paths.
This doesn't break anything, but it leaves behind a few kilobytes of
garbage in the S3 bucket after a tenant is deleted, generating work for
the scrubber.
## Summary of changes
- During deletion, explicitly remove the heatmap file
- In test_tenant_delete_smoke, upload a heatmap so that the test would
fail its "remote storage empty after delete" check if we didn't delete
it.
I suspected a wakeup could be lost with
`remote_storage::support::DownloadStream` if the cancellation and inner
stream wakeups happen simultaneously. The next poll would only return
the cancellation error without setting the wakeup. There is no lost
wakeup because the single future for getting the cancellation error is
consumed when the value is ready, and a new future is created for the
*next* value. The new future is always polled. Similarly, if only the
`Stream::poll_next` is being used after a `Some(_)` value has been
yielded, it makes no sense to have an expectation of a wakeup for the
*(N+1)th* stream value already set because when a value is wanted,
`Stream::poll_next` will be called.
A test is added to show that the above is true.
Additionally, there was a question of these cancellations and timeouts
flowing to attached or secondary tenant downloads. A test is added to
show that this, in fact, happens.
Lastly, a warning message is logged when a download stream is polled
after a timeout or cancellation error (currently unexpected) so we can
rule it out while troubleshooting.
Store logical replication origin in KV storage
## Problem
See #6977
## Summary of changes
* Extract origin_lsn from commit WAl record
* Add ReplOrigin key to KV storage and store origin_lsn
* In basebackup replace snapshot origin_lsn with last committed
origin_lsn at basebackup LSN
## 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
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
Co-authored-by: Alex Chi Z <chi@neon.tech>
## Problem
Currently, we leave `index_part.json` objects from old generations
behind each time a pageserver restarts or a tenant is migrated. This
doesn't break anything, but it's annoying when a tenant has been around
for a long time and starts to accumulate 10s-100s of these.
Partially implements: #7043
## Summary of changes
- Add a new `pageserver-physical-gc` command to `s3_scrubber`
The name is a bit of a mouthful, but I think it makes sense:
- GC is the accurate term for what we are doing here: removing data that
takes up storage but can never be accessed.
- "physical" is a necessary distinction from the "normal" GC that we do
online in the pageserver, which operates at a higher level in terms of
LSNs+layers, whereas this type of GC is purely about S3 objects.
- "pageserver" makes clear that this command deals exclusively with
pageserver data, not safekeeper.
when running the regress tests locally without any environment variables
we use on CI, `test_pageserver_compaction_smoke` fails with division by
zero. fix it temporarily by allowing no vectored read happening. to be
cleaned when vectored get validation gets removed and the default value
can be changed.
Cc: https://github.com/neondatabase/neon/issues/7381
## Problem
- Because GC exposes all errors as an anyhow::Error, we have
intermittent issues with spurious log errors during shutdown, e.g. in
this failure of a performance test
https://neon-github-public-dev.s3.amazonaws.com/reports/main/9300804302/index.html#suites/07874de07c4a1c9effe0d92da7755ebf/214a2154f6f0217a/
```
Gc failed 1 times, retrying in 2s: shutting down
```
GC really doesn't do a lot of complicated IO: it doesn't benefit from
the backtrace capabilities of anyhow::Error, and can be expressed more
robustly as an enum.
## Summary of changes
- Add GcError type and use it instead of anyhow::Error in GC functions
- In `gc_iteration_internal`, return GcError::Cancelled on shutdown
rather than Ok(()) (we only used Ok before because we didn't have a
clear cancellation error variant to use).
- In `gc_iteration_internal`, skip past timelines that are shutting
down, to avoid having to go through another GC iteration if we happen to
see a deleting timeline during a GC run.
- In `refresh_gc_info_internal`, avoid an error case where a timeline
might not be found after being looked up, by carrying an Arc<Timeline>
instead of a TimelineId between the first loop and second loop in the
function.
- In HTTP request handler, handle Cancelled variants as 503 instead of
turning all GC errors into 500s.
## Problem
In all cases, AncestorStopping is equivalent to Cancelled.
This became more obvious in
https://github.com/neondatabase/neon/pull/7912#discussion_r1620582309
when updating these error types.
## Summary of changes
- Remove AncestorStopping, always use Cancelled instead
This is a preparation for
https://github.com/neondatabase/neon/issues/6337.
The idea is to add FullAccessTimeline, which will act as a guard for
tasks requiring access to WAL files. Eviction will be blocked on these
tasks and WAL won't be deleted from disk until there is at least one
active FullAccessTimeline.
To get FullAccessTimeline, tasks call `tli.full_access_guard().await?`.
After eviction is implemented, this function will be responsible for
downloading missing WAL file and waiting until the download finishes.
This commit also contains other small refactorings:
- Separate `get_tenant_dir` and `get_timeline_dir` functions for
building a local path. This is useful for looking at usages and finding
tasks requiring access to local filesystem.
- `timeline_manager` is now responsible for spawning all background
tasks
- WAL removal task is now spawned instantly after horizon is updated
