## Summary
- Currently we can set stripe size at tenant creation, but it doesn't
mean anything until we have multiple shards
- When onboarding an existing tenant, it will always get a default shard
stripe size, so we would like to be able to pick the actual stripe size
at the point we split.
## Why do this inline with a split?
The alternative to this change would be to have a separate endpoint on
the storage controller for setting the stripe size on a tenant, and only
permit writes to that endpoint when the tenant has only a single shard.
That would work, but be a little bit more work for a client, and not
appreciably simpler (instead of having a special argument to the split
functions, we'd have a special separate endpoint, and a requirement that
the controller must sync its config down to the pageserver before
calling the split API). Either approach would work, but this one feels a
bit more robust end-to-end: the split API is the _very last moment_ that
the stripe size is mutable, so if we aim to set it before splitting, it
makes sense to do it as part of the same operation.
## Problem
Currently we manually register nodes with the storage controller, and
use a script during deploy to register with the cloud control plane.
Rather than extend that script further, nodes should just register on
startup.
## Summary of changes
- Extend the re-attach request to include an optional
NodeRegisterRequest
- If the `register` field is set, handle it like a normal node
registration before executing the normal re-attach work.
- Update tests/neon_local that used to rely on doing an explicit
register step that could be enabled/disabled.
---------
Co-authored-by: Christian Schwarz <christian@neon.tech>
## Problem
On HTTP query timeout, we should try and cancel the current in-flight
SQL query.
## Summary of changes
Trigger a cancellation command in postgres once the timeout is reach
Not a user-facing change, but can break any existing `.neon` directories
created by neon_local, as the name of the database used by the storage
controller changes.
This PR changes all the locations apart from the path of
`control_plane/attachment_service` (waiting for an opportune moment to
do that one, because it's the most conflict-ish wrt ongoing PRs like
#6676 )
This test occasionally fails with a difference in "pg_xact/0000" file
between the local and restored datadirs. My hypothesis is that
something changed in the database between the last explicit checkpoint
and the shutdown. I suspect autovacuum, it could certainly create
transactions.
To fix, be more precise about the point in time that we compare. Shut
down the endpoint first, then read the last LSN (i.e. the shutdown
checkpoint's LSN), from the local disk with pg_controldata. And use
exactly that LSN in the basebackup.
Closes#559
The walproposer pretends to be a walsender in many ways. It has a
WalSnd slot, it claims to be a walsender by calling
MarkPostmasterChildWalSender() etc. But one different to real
walsenders was that the postmaster still treated it as a bgworker
rather than a walsender. The difference is that at shutdown,
walsenders are not killed until the very end, after the checkpointer
process has written the shutdown checkpoint and exited.
As a result, the walproposer always got killed before the shutdown
checkpoint was written, so the shutdown checkpoint never made it to
safekeepers. That's fine in principle, we don't require a clean
shutdown after all. But it also feels a bit silly not to stream the
shutdown checkpoint. It could be useful for initializing hot standby
mode in a read replica, for example.
Change postmaster to treat background workers that have called
MarkPostmasterChildWalSender() as walsenders. That unfortunately
requires another small change in postgres core.
After doing that, walproposers stay alive longer. However, it also
means that the checkpointer will wait for the walproposer to switch to
WALSNDSTATE_STOPPING state, when the checkpointer sends the
PROCSIG_WALSND_INIT_STOPPING signal. We don't have the machinery in
walproposer to receive and handle that signal reliably. Instead, we
mark walproposer as being in WALSNDSTATE_STOPPING always.
In commit 568f91420a, I assumed that shutdown will wait for all the
remaining WAL to be streamed to safekeepers, but before this commit
that was not true, and the test became flaky. This should make it
stable again.
Some tests wrongly assumed that no WAL could have been written between
pg_current_wal_flush_lsn and quick pg stop after it. Fix them by introducing
flush_ep_to_pageserver which first stops the endpoint and then waits till all
committed WAL reaches the pageserver.
In passing extract safekeeper http client to its own module.
All of production is using it now as of
https://github.com/neondatabase/aws/pull/1121
The change in `flaky_tests.py` resets the flakiness detection logic.
The alternative would have been to repeat the choice of io engine in
each test name, which would junk up the various test reports too much.
---------
Co-authored-by: Alexander Bayandin <alexander@neon.tech>
## Problem
- #6966
- Existing logs aren't pointing to a cause: it looks like heatmap upload
and download are happening, but for some reason the evicted layer isn't
removed on the secondary location.
## Summary of changes
- Assert evicted layer is gone from heatmap before checking its gone
from local disk: this will give clarity on whether the issue is with the
uploads or downloads.
- On assertion failures, log the contents of heatmap.
## Problem
https://github.com/neondatabase/neon/pull/6661 changed the layer
flushing logic and led to OOMs in staging.
The issue turned out to be holding on to in-memory layers for too long.
After OOMing we'd need to replay potentially
a lot of WAL.
## Summary of changes
Test that open layers get flushed after the `checkpoint_timeout` config
and do not require WAL reingest upon restart.
The workload creates a number of timelines and writes some data to each,
but not enough to trigger flushes via the `checkpoint_distance` config.
I ran this test against https://github.com/neondatabase/neon/pull/6661
and it was indeed failing.
Extracted from https://github.com/neondatabase/neon/pull/6953
Part of https://github.com/neondatabase/neon/issues/5899
Core Change
-----------
In #6953, we need the ability to scan the log _after_ a specific line
and ignore anything before that line.
This PR changes `log_contains` to returns a tuple of `(matching line,
cursor)`.
Hand that cursor to a subsequent `log_contains` call to search the log
for the next occurrence of the pattern.
Other Changes
-------------
- Inspect all the callsites of `log_contains` to handle the new tuple
return type.
- Above inspection unveiled many callers aren't using `assert
log_contains(...) is not None` but some weaker version of the code that
breaks if `log_contains` ever returns a not-None but falsy value. Fix
that.
- Above changes unveiled that `test_remote_storage_upload_queue_retries`
was using `wait_until` incorrectly; after fixing the usage, I had to
raise the `wait_until` timeout. So, maybe this will fix its flakiness.
Add off-by-default support for lazy queued tenant activation on attach.
This should be useful on bulk migrations as some tenants will be
activated faster due to operations or endpoint startup. Eventually all
tenants will get activated by reusing the same mechanism we have at
startup (`PageserverConf::concurrent_tenant_warmup`).
The difference to lazy attached tenants to startup ones is that we leave
their initial logical size calculation be triggered by WalReceiver or
consumption metrics.
Fixes: #6315
Co-authored-by: Arpad Müller <arpad-m@users.noreply.github.com>
## Problem
The vectored read path proposed in
https://github.com/neondatabase/neon/pull/6576 seems
to be functionally correct, but in my testing (see below) it is about 10-20% slower than the naive
sequential vectored implementation.
## Summary of changes
There's three parts to this PR:
1. Supporting vectored blob reads. This is actually trickier than it
sounds because on disk blobs are prefixed with a variable length size header.
Since the blobs are not necessarily fixed size, we need to juggle the offsets
such that the callers can retrieve the blobs from the resulting buffer.
2. Merge disk read requests issued by the vectored read path up to a
maximum size. Again, the merging is complicated by the fact that blobs
are not fixed size. We keep track of the begin and end offset of each blob
and pass them into the vectored blob reader. In turn, the reader will return
a buffer and the offsets at which the blobs begin and end.
3. A benchmark for basebackup requests against tenant with large SLRU
block counts is added. This required a small change to pagebench and a new config
variable for the pageserver which toggles the vectored get validation.
We can probably optimise things further by adding a little bit of
concurrency for our IO. In principle, it's as simple as spawning a task which deals with issuing
IO and doing the serialisation and handling on the parent task which receives input via a
channel.
fixes https://github.com/neondatabase/neon/issues/6889
# Problem
The failure in the last 3 flaky runs on `main` is
```
test_runner/regress/test_remote_storage.py:460: in test_remote_timeline_client_calls_started_metric
churn("a", "b")
test_runner/regress/test_remote_storage.py:457: in churn
assert gc_result["layers_removed"] > 0
E assert 0 > 0
```
That's this code
cd449d66ea/test_runner/regress/test_remote_storage.py (L448-L460)
So, the test expects GC to remove some layers but the GC doesn't.
# Fix
My impression is that the VACUUM isn't re-using pages aggressively
enough, but I can't really prove that. Tried to analyze the layer map
dump but it's too complex.
So, this PR:
- Creates more churn by doing the overwrite twice.
- Forces image layer creation.
It also drive-by removes the redundant call to timeline_compact,
because, timeline_checkpoint already does that internally.
## Problem
Attachment service does not do auth based on JWT scopes.
## Summary of changes
Do JWT based permission checking for requests coming into the attachment
service.
Requests into the attachment service must use different tokens based on
the endpoint:
* `/control` and `/debug` require `admin` scope
* `/upcall` requires `generations_api` scope
* `/v1/...` requires `pageserverapi` scope
Requests into the pageserver from the attachment service must use
`pageserverapi` scope.
Use the remote_timeline_client metrics instead, they work for layer file
uploads and are reasonable close to what the
`pageserver_created_persistent_*` metrics were.
Should we wait for empty upload queue before calling `report_size()`?
part of https://github.com/neondatabase/neon/issues/6737
## Problem
Previously we always wrote out both legacy and modern tenant config
files. The legacy write enabled rollbacks, but we are long past the
point where that is needed.
We still need the legacy format for situations where someone is running
tenants without generations (that will be yanked as well eventually),
but we can avoid writing it out at all if we do have a generation number
set. We implicitly also avoid writing the legacy config if our mode is
Secondary (secondary mode is newer than generations).
## Summary of changes
- Make writing legacy tenant config conditional on there being no
generation number set.
We set it for neon replica, if primary is running.
Postgres uses this GUC at the start,
to determine if replica should wait for
RUNNING_XACTS from primary or not.
Corresponding cloud PR is
https://github.com/neondatabase/cloud/pull/10183
* Add test hot-standby replica startup.
* Extract oldest_running_xid from XlRunningXits WAL records.
---------
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
Co-authored-by: Konstantin Knizhnik <knizhnik@garret.ru>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
- Add some context to logs
- Add tests for pageserver restarts when managed by storage controller
- Make /location_config tolerate compute hook failures on shard
creations, not just modifications.
## Problem
PR #6834 introduced an assertion that the sets of metric labels on
finished operations should equal those on started operations, which is
not true if no operations have finished yet for a particular set of
labels.
## Summary of changes
- Instead of asserting out, wait and re-check in the case that finished
metrics don't match started
The sharding service didn't have support for S3 disaster recovery.
This PR adds a new endpoint to the attachment service, which is slightly
different from the endpoint on the pageserver, in that it takes the
shard count history of the tenant as json parameters: we need to do
time travel recovery for both the shard count at the target time and the
shard count at the current moment in time, as well as the past shard
counts that either still reference.
Fixes#6604, part of https://github.com/neondatabase/cloud/issues/8233
---------
Co-authored-by: John Spray <john@neon.tech>
## Problem
Where the stripe size is the same order of magnitude as the checkpoint
distance (such as with default settings), tenant shards can easily pass
through `checkpoint_distance` bytes of LSN without actually ingesting
anything. This results in emitting many tiny L0 delta layers.
## Summary of changes
- Multiply checkpoint distance by shard count before comparing with LSN
distance. This is a heuristic and does not guarantee that we won't emit
small layers, but it fixes the issue for typical cases where the writes
in a (checkpoint_distance * shard_count) range of LSN bytes are somewhat
distributed across shards.
- Add a test that checks the size of layers after ingesting to a sharded
tenant; this fails before the fix.
---------
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
This PR introduces a new vectored implementation of the read path.
The search is basically a DFS if you squint at it long enough.
LayerFringe tracks the next layers to visit and acts as our stack.
Vertices are tuples of (layer, keyspace, lsn range). Continuously
pop the top of the stack (most recent layer) and do all the reads
for one layer at once.
The search maintains a fringe (`LayerFringe`) which tracks all the
layers that intersect the current keyspace being searched. Continuously
pop the top of the fringe (layer with highest LSN) and get all the data
required from the layer in one go.
Said search is done on one timeline at a time. If data is still required for
some keys, then search the ancestor timeline.
Apart from the high level layer traversal, vectored variants have been
introduced for grabbing data from each layer type. They still suffer from
read amplification issues and that will be addressed in a different PR.
You might notice that in some places we duplicate the code for the
existing read path. All of that code will be removed when we switch
the non-vectored read path to proxy into the vectored read path.
In the meantime, we'll have to contend with the extra cruft for the sake
of testing and gentle releasing.
refs #6737
# Problem
Before this PR, on-demand downloads weren't measured per tenant_id.
This makes root-cause analysis of latency spikes harder, requiring us to
resort to log scraping for
```
{neon_service="pageserver"} |= `downloading on-demand` |= `$tenant_id`
```
which can be expensive when zooming out in Grafana.
Context: https://neondb.slack.com/archives/C033RQ5SPDH/p1707809037868189
# Solution / Changes
- Remove the calls_started histogram
- I did the dilegence, there are only 2 dashboards using this histogram,
and in fact only one uses it as a histogram, the other just as a
a counter.
- [Link
1](8115b54d9f/neonprod/dashboards/hkXNF7oVz/dashboard-Z31XmM24k.yaml (L1454)):
`Pageserver Thrashing` dashboard, linked from playbook, will fix.
- [Link
2](8115b54d9f/neonprod/dashboards/CEllzAO4z/dashboard-sJqfNFL4k.yaml (L599)):
one of my personal dashboards, unused for a long time, already broken in
other ways, no need to fix.
- replace `pageserver_remote_timeline_client_calls_unfinished` gauge
with a counter pair
- Required `Clone`-able `IntCounterPair`, made the necessary changes in
the `libs/metrics` crate
- fix tests to deal with the fallout
A subsequent PR will remove a timeline-scoped metric to compensate.
Note that we don't need additional global counters for the per-timeline
counters affected by this PR; we can use the `remote_storage` histogram
for those, which, conveniently, also include the secondary-mode
downloads, which aren't covered by the remote timeline client metrics
(should they?).
## Problem
Proxy already supported HTTP2, but I expect no one is using it because
we don't advertise it in the TLS handshake.
## Summary of changes
#6335 without the websocket changes.
This PR stacks on https://github.com/neondatabase/neon/pull/6814
Observability:
- Because we only persist a subset of our state, and our external API is
pretty high level, it can be hard to get at the detail of what's going
on internally (e.g. the IntentState of a shard).
- Add debug endpoints for getting a full dump of all TenantState and
SchedulerNode objects
- Enrich the /control/v1/node listing endpoint to include full in-memory
detail of `Node` rather than just the `NodePersistence` subset
Consistency checks:
- The storage controller maintains separate in-memory and on-disk
states, by design. To catch subtle bugs, it is useful to occasionally
cross-check these.
- The Scheduler maintains reference counts for shard->node
relationships, which could drift if there was a bug in IntentState:
exhausively cross check them in tests.
## Problem
When investigating test failures
(https://github.com/neondatabase/neon/issues/6813) I noticed we were
doing a bunch of Reconciler runs right after splitting a tenant.
It's because the splitting test does a pageserver restart, and there was
a bug in /re-attach handling, where we would update the generation
correctly in the database and intent state, but not observed state,
thereby triggering a reconciliation on the next call to maybe_reconcile.
This didn't break anything profound (underlying rules about generations
were respected), but caused the storage controller to do an un-needed
extra round of bumping the generation and reconciling.
## Summary of changes
- Start adding metrics to the storage controller
- Assert on the number of reconciles done in test_sharding_split_smoke
- Fix /re-attach to update `observed` such that we don't spuriously
re-reconcile tenants.
Often times the tenants we want to (WAL) DR are the ones which the
pageserver marks as broken. Therefore, we should allow initdb
preservation also for broken tenants.
Fixes#6781.
## Problem
One WAL record can actually produce an arbitrary amount of key value pairs.
This is problematic since it might cause our frozen layers to bloat past the
max allowed size of S3 single shot uploads.
[#6639](https://github.com/neondatabase/neon/pull/6639) introduced a "should roll"
check after every batch of `ingest_batch_size` (100 WAL records by default). This helps,
but the original problem still exists.
## Summary of changes
This patch moves the responsibility of rolling the currently open layer
to the `TimelineWriter`. Previously, this was done ad-hoc via calls
to `check_checkpoint_distance`. The advantages of this approach are:
* ability to split one batch over multiple open layers
* less layer map locking
* remove ad-hoc check_checkpoint_distance calls
More specifically, we track the current size of the open layer in the
writer. On each `put` check whether the current layer should be closed
and a new one opened. Keeping track of the currently open layer results
in less contention on the layer map lock. It only needs to be acquired
on the first write and on writes that require a roll afterwards.
Rolling the open layer can be triggered by:
1. The distance from the last LSN we rolled at. This bounds the amount
of WAL that the safekeepers need to store.
2. The size of the currently open layer.
3. The time since the last roll. It helps safekeepers to regard
pageserver as caught up and suspend activity.
Closes#6624
## Problem
Currently, we don't store `PLATFORM` for Nightly Benchmarks. It
causes them to be merged as reruns in Allure report (because they have
the same test name).
## Summary of changes
- Parametrize benchmarks by
- Postgres Version (14/15/16)
- Build Type (debug/release/remote)
- PLATFORM (neon-staging/github-actions-selfhosted/...)
---------
Co-authored-by: Bodobolero <peterbendel@neon.tech>
There is O(n^2) issues due to how we store these directories (#6626), so
it's good to keep an eye on them and ensure the numbers stay low.
The new per-timeline metric `pageserver_directory_entries_count`
isn't perfect, namely we don't calculate it every time we attach
the timeline, but only if there is an actual change.
Also, it is a collective metric over multiple scalars. Lastly,
we only emit the metric if it is above a certain threshold.
However, the metric still give a feel for the general size of the timeline.
We care less for small values as the metric is mainly there to
detect and track tenants with large directory counts.
We also expose the directory counts in `TimelineInfo` so that one can
get the detailed size distribution directly via the pageserver's API.
Related: #6642 , https://github.com/neondatabase/cloud/issues/10273
In #6079 it was found that there is no test that executes the scrubber.
We now add such a test, which does the following things:
* create a tenant, write some data
* run the scrubber
* remove the tenant
* run the scrubber again
Each time, the scrubber runs the scan-metadata command. Before #6079 we
would have errored, now we don't.
Fixes#6080
VanillaPostgres constructor prints the "port={port}" line to the
config file, no need to do it in the callers.
The TODO comment that it would be nice if VanillaPostgres could pick
the port by itself is still valid though.
## Problem
usernames and passwords can be URL 'percent' encoded in the connection
string URL provided by serverless driver.
## Summary of changes
Decode the parameters when getting conn info
In neon_local, the default mode is now always 'fast', regardless of
'destroy'. You can override it with the "neon_local endpoint stop
--mode=immediate" flag.
In python tests, we still default to 'immediate' mode when using the
stop_and_destroy() function, and 'fast' with plain stop(). I kept that
to avoid changing behavior in existing tests. I don't think existing
tests depend on it, but I wasn't 100% certain.
This test occasionally fails with a difference in "pg_xact/0000" file
between the local and restored datadirs. My hypothesis is that something
changed in the database between the last explicit checkpoint and the
shutdown. I suspect autovacuum, it could certainly create transactions.
To fix, be more precise about the point in time that we compare. Shut
down the endpoint first, then read the last LSN (i.e. the shutdown
checkpoint's LSN), from the local disk with pg_controldata. And use
exactly that LSN in the basebackup.
Closes#559.
I'm proposing this as an alternative to
https://github.com/neondatabase/neon/pull/6662.
- Automatically set a node's availability to Active if it is responsive
in startup_reconcile
- Impose a 5s timeout of HTTP request to list location conf, so that an
unresponsive node can't hang it for minutes
- Do several retries if the request fails with a retryable error, to be
tolerant of concurrent pageserver & storage controller restarts
- Add a readiness hook for use with k8s so that we can tell when the
startup reconciliaton is done and the service is fully ready to do work.
- Add /metrics to the list of un-authenticated endpoints (this is
unrelated but we're touching the line in this PR already, and it fixes
auth error spam in deployed container.)
- A test for the above.
Closes: #6670
## Problem
One doesn't know at tenant creation time how large the tenant will grow.
We need to be able to dynamically adjust the shard count at runtime.
This is implemented as "splitting" of shards into smaller child shards,
which cover a subset of the keyspace that the parent covered.
Refer to RFC: https://github.com/neondatabase/neon/pull/6358
Part of epic: #6278
## Summary of changes
This PR implements the happy path (does not cleanly recover from a crash
mid-split, although won't lose any data), without any optimizations
(e.g. child shards re-download their own copies of layers that the
parent shard already had on local disk)
- Add `/v1/tenant/:tenant_shard_id/shard_split` API to pageserver: this
copies the shard's index to the child shards' paths, instantiates child
`Tenant` object, and tears down parent `Tenant` object.
- Add `splitting` column to `tenant_shards` table. This is written into
an existing migration because we haven't deployed yet, so don't need to
cleanly upgrade.
- Add `/control/v1/tenant/:tenant_id/shard_split` API to
attachment_service,
- Add `test_sharding_split_smoke` test. This covers the happy path:
future PRs will add tests that exercise failure cases.
Fix several test flakes:
- test_sharding_service_smoke had log failures on "Dropped LSN updates"
- test_emergency_mode had log failures on a deletion queue shutdown
check, where the check was incorrect because it was expecting channel
receiver to stay alive after cancellation token was fired.
- test_secondary_mode_eviction had racing heatmap uploads because the
test was using a live migration hook to set up locations, where that
migration was itself uploading heatmaps and generally making the
situation more complex than it needed to be.
These are the failure modes that I saw when spot checking the last few
failures of each test.
This will mostly/completely address #6511, but I'll leave that ticket
open for a couple days and then check if either of the tests named in
that ticket are flaky.
Related #6511
Before tenant migration it made sense to leak broken tenants in the
metrics until restart. Nowdays it makes less sense because on
cancellations we set the tenant broken. The set metric still allows
filterable alerting.
Fixes: #6507
## Problem
I didn't know about `wait_until` and was relying on `sleep` to wait for
stuff. This caused some tests to be flaky.
https://github.com/neondatabase/neon/issues/6561
## Summary of changes
Switch to `wait_until`, this should make it tests less flaky
## Problem
When we change which physical pageservers a tenant is attached to, we
must update the control plane so that it can update computes. This will
be done via an HTTP hook, as described in
https://www.notion.so/neondatabase/Sharding-Service-Control-Plane-interface-6de56dd310a043bfa5c2f5564fa98365#1fe185a35d6d41f0a54279ac1a41bc94
## Summary of changes
- Optional CLI args `--control-plane-jwt-token` and `-compute-hook-url`
are added. If these are set, then we will use this HTTP endpoint,
instead of trying to use neon_local LocalEnv to update compute
configuration.
- Implement an HTTP-driven version of ComputeHook that calls into the
configured URL
- Notify for all tenants on startup, to ensure that we don't miss
notifications if we crash partway through a change, and carry a
`pending_compute_notification` flag at runtime to allow notifications to
fail without risking never sending the update.
- Add a test for all this
One might wonder: why not do a "forever" retry for compute hook
notifications, rather than carrying a flag on the shard to call
reconcile() again later. The reason is that we will later limit
concurreny of reconciles, when dealing with larger numbers of shards,
and if reconcile is stuck waiting for the control plane to accept a
notification request, it could jam up the whole system and prevent us
making other changes. Anyway: from the perspective of the outside world,
we _do_ retry forever, but we don't retry forever within a given
Reconciler lifetime.
The `pending_compute_notification` logic is predicated on later adding a
background task that just calls `Service::reconcile_all` on a schedule
to make sure that anything+everything that can fail a
Reconciler::reconcile call will eventually be retried.
in `test_statvfs_pressure_{usage,min_avail_bytes}` we now race against
initial logical size calculation on-demand downloading the layers. first
wait out the initial logical sizes, then change the final asserts to be
"eventual", which is not great but it is faster than failing and
retrying.
this issue seems to happen only in debug mode tests.
Fixes: #6510
Adds an endpoint to the pageserver to S3-recover an entire tenant to a
specific given timestamp.
Required input parameters:
* `travel_to`: the target timestamp to recover the S3 state to
* `done_if_after`: a timestamp that marks the beginning of the recovery
process. retries of the query should keep this value constant. it *must*
be after `travel_to`, and also after any changes we want to revert, and
must represent a point in time before the endpoint is being called, all
of these time points in terms of the time source used by S3. these
criteria need to hold even in the face of clock differences, so I
recommend waiting a specific amount of time, then taking
`done_if_after`, then waiting some amount of time again, and only then
issuing the request.
Also important to note: the timestamps in S3 work at second accuracy, so
one needs to add generous waits before and after for the process to work
smoothly (at least 2-3 seconds).
We ignore the added test for the mocked S3 for now due to a limitation
in moto: https://github.com/getmoto/moto/issues/7300 .
Part of https://github.com/neondatabase/cloud/issues/8233
Don't require AWS access keys (AWS_ACCESS_KEY_ID and
AWS_SECRET_ACCESS_KEY) for S3 usage in the pytests, and also allow
AWS_PROFILE to be passed.
One of the two methods is required however.
This allows local development like:
```
aws sso login --profile dev
export ENABLE_REAL_S3_REMOTE_STORAGE=nonempty REMOTE_STORAGE_S3_REGION=eu-central-1 REMOTE_STORAGE_S3_BUCKET=neon-github-ci-tests AWS_PROFILE=dev
cargo build_testing && RUST_BACKTRACE=1 ./scripts/pytest -k debug-pg16 test_runner/regress/test_tenant_delete.py::test_tenant_delete_smoke
```
related earlier PR for the cargo unit tests of the `remote_storage` crate: #6202
---------
Co-authored-by: Alexander Bayandin <alexander@neon.tech>
