Delete data from s3 when timeline deletion is requested
## Summary of changes
UploadQueue is altered to support scheduling of delete operations in
stopped state. This looks weird, and I'm thinking whether there are
better options/refactorings for upload client to make it look better.
Probably can be part of https://github.com/neondatabase/neon/issues/4378
Deletion is implemented directly in existing endpoint because changes are not
that significant. If we want more safety we can separate those or create
feature flag for new behavior.
resolves [#4193](https://github.com/neondatabase/neon/issues/4193)
---------
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
## Problem
Attach failures are not reported in public part of the api (in
`attachment_status` field of TenantInfo).
## Summary of changes
Expose TenantState::Broken as TenantAttachmentStatus::Failed
In the way its written Failed status will be reported even if no
attachment happened. (I e if tenant become broken on startup). This is
in line with other members. I e Active will be resolved to Attached even
if no actual attach took place.
This can be tweaked if needed. At the current stage it would be overengineering without clear motivation
resolves#4344
This adds test coverage for 'compute_ctl', as it is now used by all
the python tests.
There are a few differences in how 'compute_ctl' is called in the
tests, compared to the real web console:
- In the tests, the postgresql.conf file is included as one large
string in the spec file, and it is written out as it is to the data
directory. I added a new field for that to the spec file. The real
web console, however, sets all the necessary settings in the
'settings' field, and 'compute_ctl' creates the postgresql.conf from
those settings.
- In the tests, the information needed to connect to the storage, i.e.
tenant_id, timeline_id, connection strings to pageserver and
safekeepers, are now passed as new fields in the spec file. The real
web console includes them as the GUCs in the 'settings' field. (Both
of these are different from what the test control plane used to do:
It used to write the GUCs directly in the postgresql.conf file). The
plan is to change the control plane to use the new method, and
remove the old method, but for now, support both.
Some tests that were sensitive to the amount of WAL generated needed
small changes, to accommodate that compute_ctl runs the background
health monitor which makes a few small updates. Also some tests shut
down the pageserver, and now that the background health check can run
some queries while the pageserver is down, that can produce a few
extra errors in the logs, which needed to be allowlisted.
Other changes:
- remove obsolete comments about PostgresNode;
- create standby.signal file for Static compute node;
- log output of `compute_ctl` and `postgres` is merged into
`endpoints/compute.log`.
---------
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
We have 2 ways of tenant shutdown, we should have just one.
Changes are mostly mechanical simple refactorings.
Added `warn!` on the "shutdown all remaining tasks" should trigger test
failures in the between time of not having solved the "tenant/timeline
owns all spawned tasks" issue.
Cc: #4327.
walreceiver logs are a bit hard to understand because of partial span
usage, extra messages, ignored errors popping up as huge stacktraces.
Fixes#3330 (by spans, also demote info -> debug).
- arrange walreceivers spans into a hiearchy:
- `wal_connection_manager{tenant_id, timeline_id}` ->
`connection{node_id}` -> `poller`
- unifies the error reporting inside `wal_receiver`:
- All ok errors are now `walreceiver connection handling ended: {e:#}`
- All unknown errors are still stacktraceful task_mgr reported errors
with context `walreceiver connection handling failure`
- Remove `connect` special casing, was: `DB connection stream finished`
for ok errors
- Remove `done replicating` special casing, was `Replication stream
finished` for ok errors
- lowered log levels for (non-exhaustive list):
- `WAL receiver manager started, connecting to broker` (at startup)
- `WAL receiver shutdown requested, shutting down` (at shutdown)
- `Connection manager loop ended, shutting down` (at shutdown)
- `sender is dropped while join handle is still alive` (at lucky
shutdown, see #2885)
- `timeline entered terminal state {:?}, stopping wal connection manager
loop` (at shutdown)
- `connected!` (at startup)
- `Walreceiver db connection closed` (at disconnects?, was without span)
- `Connection cancelled` (at shutdown, was without span)
- `observed timeline state change, new state is {new_state:?}` (never
after Timeline::activate was made infallible)
- changed:
- `Timeline dropped state updates sender, stopping wal connection
manager loop`
- was out of date; sender is not dropped but `Broken | Stopping` state
transition
- also made `debug!`
- `Timeline dropped state updates sender before becoming active,
stopping wal connection manager loop`
- was out of date: sender is again not dropped but `Broken | Stopping`
state transition
- also made `debug!`
- log fixes:
- stop double reporting panics via JoinError
## Problem
This PR includes doc changes to the current metrics as well as adding
new metrics. With the new set of metrics, we can quantitatively analyze
the read amp., write amp. and space amp. in the system, when used
together with https://github.com/neondatabase/neonbench
close https://github.com/neondatabase/neon/issues/4312
ref https://github.com/neondatabase/neon/issues/4347
compaction metrics TBD, a novel idea is to print L0 file number and
number of layers in the system, and we can do this in the future when we
start working on compaction.
## Summary of changes
* Add `READ_NUM_FS_LAYERS` for computing read amp.
* Add `MATERIALIZED_PAGE_CACHE_HIT_UPON_REQUEST`.
* Add `GET_RECONSTRUCT_DATA_TIME`. GET_RECONSTRUCT_DATA_TIME +
RECONSTRUCT_TIME + WAIT_LSN_TIME should be approximately total time of
reads.
* Add `5.0` and `10.0` to `STORAGE_IO_TIME_BUCKETS` given some fsync
runs slow (i.e., > 1s) in some cases.
* Some `WAL_REDO` metrics are only used when Postgres is involved in the
redo process.
---------
Signed-off-by: Alex Chi <iskyzh@gmail.com>
We used to generate the ID, if the caller didn't specify it. That's bad
practice, however, because network is never fully reliable, so it's
possible we create a new tenant but the caller doesn't know about it,
and because it doesn't know the tenant ID, it has no way of retrying or
checking if it succeeded. To discourage that, make it mandatory. The web
control plane has not relied on the auto-generation for a long time.
## Describe your changes
## Issue ticket number and link
## Checklist before requesting a review
- [x] I have performed a self-review of my code.
- [x] 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.
(Instead of going through mgr every iteration.)
The `wait_for_active_tenant` function's `wait` argument could be removed
because it was only used for the loop that waits for the tenant to show
up in the tenants map. Since we're passing the tenant in, we now longer
need to get it from the tenants map.
NB that there's no guarantee that the tenant object is in the tenants
map at the time the background loop function starts running. But the
tenant mgr guarantees that it will be quite soon. See
`tenant_map_insert` way upwards in the call hierarchy for details.
This is prep work to eliminate `subscribe_for_state_updates` (PR #4299 )
Fixes: #3501
## Problem
`pytest` 6 truncates error messages and this is not configured.
It's fixed in `pytest` 7, it prints the whole message (truncating limit
is higher) if `--verbose` is set (it's set on CI).
## Summary of changes
- `pytest` and `pytest` plugins are updated to their latest versions
- linters (`black` and `ruff`) are updated to their latest versions
- `mypy` and types are updated to their latest versions, new warnings
are fixed
- while we're here, allure updated its latest version as well
This commit introduces an SQL-over-HTTP endpoint in the proxy, with a JSON
response structure resembling that of the node-postgres driver. This method,
using HTTP POST, achieves smaller amortized latencies in edge setups due to
fewer round trips and an enhanced open connection reuse by the v8 engine.
This update involves several intricacies:
1. SQL injection protection: We employed the extended query protocol, modifying
the rust-postgres driver to send queries in one roundtrip using a text
protocol rather than binary, bypassing potential issues like those identified
in https://github.com/sfackler/rust-postgres/issues/1030.
2. Postgres type compatibility: As not all postgres types have binary
representations (e.g., acl's in pg_class), we adjusted rust-postgres to
respond with text protocol, simplifying serialization and fixing queries with
text-only types in response.
3. Data type conversion: Considering JSON supports fewer data types than
Postgres, we perform conversions where possible, passing all other types as
strings. Key conversions include:
- postgres int2, int4, float4, float8 -> json number (NaN and Inf remain
text)
- postgres bool, null, text -> json bool, null, string
- postgres array -> json array
- postgres json and jsonb -> json object
4. Alignment with node-postgres: To facilitate integration with js libraries,
we've matched the response structure of node-postgres, returning command tags
and column oids. Command tag capturing was added to the rust-postgres
functionality as part of this change.
This PR enforces that the tenant create / update-config APIs reject
requests with unknown fields.
This is a desirable property because some tenant config settings control
the lifetime of user data (e.g., GC horizon or PITR interval).
Suppose we inadvertently rename the `pitr_interval` field in the Rust
code.
Then, right now, a client that still uses the old name will send a
tenant config request to configure a new PITR interval.
Before this PR, we would accept such a request, ignore the old name
field, and use the pageserver.toml default value for what the new PITR
interval is.
With this PR, we will instead reject such a request.
One might argue that the client could simply check whether the config it
sent has been applied, using the `/v1/tenant/.../config` endpoint.
That is correct for tenant create and update-config.
But, attach will soon [^1] grow the ability to have attach-time config
as well.
If we ignore unknown fields and fall back to global defaults in that
case, we risk data loss.
Example:
1. Default PITR in pageservers is 7 days.
2. Create a tenant and set its PITR to 30 days.
3. For 30 days, fill the tenant continuously with data.
4. Detach the tenant.
5. Attach tenant.
Attach must use the 30-day PITR setting in this scenario.
If it were to fall back to the 7-day default value, we would lose 23
days of PITR capability for the tenant.
So, the PR that adds attach-time tenant config will build on the
(clunky) infrastructure added in this PR
[^1]: https://github.com/neondatabase/neon/pull/4255
Implementation Notes
====================
This could have been a simple `#[serde(deny_unknown_fields)]` but sadly,
that is documented- but silent-at-compile-time-incompatible with
`#[serde(flatten)]`. But we are still using this by adding on outer struct and use unit tests to ensure it is correct.
`neon_local tenant config` now uses the `.remove()` pattern + bail if
there are leftover config args. That's in line with what
`neon_local tenant create` does. We should dedupe that logic in a future
PR.
---------
Signed-off-by: Alex Chi <iskyzh@gmail.com>
Co-authored-by: Alex Chi <iskyzh@gmail.com>
Await for upload to complete before returning 201 Created on
`branch_timeline` or when `bootstrap_timeline` happens. Should either of
those waits fail, then on the retried request await for uploads again.
This should work as expected assuming control-plane does not start to
use timeline creation as a wait_for_upload mechanism.
Fixes#3865, started from
https://github.com/neondatabase/neon/pull/3857/files#r1144468177
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
This PR adds tests runs on Postgres 15 and created unified Allure report
with results for all tests.
- Split `.github/actions/allure-report` into
`.github/actions/allure-report-store` and
`.github/actions/allure-report-generate`
- Add debug or release pytest parameter for all tests (depending on
`BUILD_TYPE` env variable)
- Add Postgres version as a pytest parameter for all tests (depending on
`DEFAULT_PG_VERSION` env variable)
- Fix `test_wal_restore` and `restore_from_wal.sh` to support path with
`[`/`]` in it (fixed by applying spellcheck to the script and fixing all
warnings), `restore_from_wal_archive.sh` is deleted as unused.
- All known failures on Postgres 15 marked with xfail
Before this patch, the following sequence would lead to the resurrection of a deleted timeline:
- create timeline
- wait for its index part to reach s3
- delete timeline
- wait an arbitrary amount of time, including 0 seconds
- detach tenant
- attach tenant
- the timeline is there and Active again
This happens because we only kept track of the deletion in the tenant dir (by deleting the timeline dir) but not in S3.
The solution is to turn the deleted timeline's IndexPart into a tombstone.
The deletion status of the timeline is expressed in the `deleted_at: Option<NativeDateTime>` field of IndexPart.
It's `None` while the timeline is alive and `Some(deletion time stamp)` if it is deleted.
We change the timeline deletion handler to upload this tombstoned IndexPart.
The handler does not return success if the upload fails.
Coincidentally, this fixes the long-stanging TODO about the `std::fs::remove_dir_all` being not atomic.
It need not be atomic anymore because we set the `deleted_at=Some()` before starting the `remove_dir_all`.
The tombstone is in the IndexPart only, not in the `metadata`.
So, we only have the tombstone and the `remove_dir_all` benefits mentioned above if remote storage is configured.
This was a conscious trade-off because there's no good format evolution story for the current metadata file format.
The introduction of this additional step into `delete_timeline` was painful because delete_timeline needs to be
1. cancel-safe
2. idempotent
3. safe to call concurrently
These are mostly self-inflicted limitations that can be avoided by using request-coalescing.
PR https://github.com/neondatabase/neon/pull/4159 will do that.
fixes https://github.com/neondatabase/neon/issues/3560
refs https://github.com/neondatabase/neon/issues/3889 (part of tenant relocation)
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
Co-authored-by: Christian Schwarz <christian@neon.tech>
This patch adds a regression test for the threshold-based layer
eviction.
The test asserts the basic invariant that, if left alone, the residence
statuses will stabilize, with some layers resident and some layers
evicted.
Thereby, we cover both the aspect of last-access-time-threshold-based
eviction, and the "imitate access" hacks that we put in recently.
The aggressive `period` and `threshold` values revealed a subtle bug
which is also fixed in this patch.
The symptom was that, without the Rust changes of this patch, there
would be occasional test failures due to `WARN... unexpectedly
downloading` log messages.
These log messages were caused by the "imitate access" calls of the
eviction task.
But, the whole point of the "imitate access" hack was to prevent
eviction of the layers that we access there.
After some digging, I found the root cause, which is the following race
condition:
1. Compact: Write out an L1 layer from several L0 layers. This records
residence event `LayerCreate` with the current timestamp.
2. Eviction: imitate access logical size calculation. This accesses the
L0 layers because the L1 layer is not yet in the layer map.
3. Compact: Grab layer map lock, add the new L1 to layer map and remove
the L0s, release layer map lock.
4. Eviction: observes the new L1 layer whose only activity timestamp is
the `LayerCreate` event.
The L1 layer had no chance of being accessed until after (3).
So, if enough time passes between (1) and (3), then (4) will observe a
layer with `now-last_activity > threshold` and evict it
The fix is to require the first `record_residence_event` to happen while
we already hold the layer map lock.
The API requires a ref to a `BatchedUpdates` as a witness that we are
inside a layer map lock.
That is not fool-proof, e.g., new call sites for `insert_historic` could
just completely forget to record the residence event.
It would be nice to prevent this at the type level.
In the meantime, we have a rate-limited log messages to warn us, if such
an implementation error sneaks in in the future.
fixes https://github.com/neondatabase/neon/issues/3593
fixes https://github.com/neondatabase/neon/issues/3942
---------
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
Add HTTP endpoint to initialize safekeeper timeline from peer
safekeepers. This is useful for initializing new safekeeper to replace
failed safekeeper. Not fully "correct" in all cases, but should work in
most.
This code is not suitable for production workloads but can be tested on
staging to get started. New endpoint is separated from usual cases and
should not affect anything if no one explicitly uses a new endpoint. We
can rollback this commit in case of issues.
Refactors walsenders out of timeline.rs to makes it less convoluted into
separate WalSenders with its own lock, but otherwise having the same structure.
Tracking of in-memory remote_consistent_lsn is also moved there as it is mainly
received from pageserver.
State of walsender (feedback) is also restructured to be cleaner; now it is
either PageserverFeedback or StandbyFeedback(StandbyReply, HotStandbyFeedback),
but not both.
Notes:
- This still needs UI support from the Console
- I've not tuned any GUCs for PostgreSQL to make this work better
- Safekeeper has gotten a tweak in which WAL is sent and how: It now
sends zero-ed WAL data from the start of the timeline's first segment up to
the first byte of the timeline to be compatible with normal PostgreSQL
WAL streaming.
- This includes the commits of #3714
Fixes one part of https://github.com/neondatabase/neon/issues/769
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
It had a couple of inherent races:
1) Even if compute is killed before the call, some more data might still arrive
to safekeepers after commit_lsn on them is polled, advancing it. Then checkpoint
on pageserver might not include this tail, and so upload of expected LSN won't
happen until one more checkpoint.
2) commit_lsn is updated asynchronously -- compute can commit transaction before
communicating commit_lsn to even single safekeeper (sync-safekeepers can be used
to forces the advancement). This makes semantics of
wait_for_sk_commit_lsn_to_reach_remote_storage quite complicated.
Replace it with last_flush_lsn_upload which
1) Learns last flush LSN on compute;
2) Waits for it to arrive to pageserver;
3) Checkpoints it;
4) Waits for the upload.
In some tests this keeps compute alive longer than before, but this doesn't seem
to be important.
There is a chance this fixes https://github.com/neondatabase/neon/issues/3209
For the "worst-case /storage usage panel", we need to compute
```
remote size + local-only size
```
We currently don't have a metric for local-only layers.
The number of in-flight layers in the upload queue is just that, so, let
Prometheus scrape it.
The metric is two counters (started and finished).
The delta is the amount of in-flight uploads in the queue.
The metrics are incremented in the respective `call_unfinished_metric_*`
functions.
These track ongoing operations by file_kind and op_kind.
We only need this metric for layer uploads, so, there's the new
RemoteTimelineClientMetricsCallTrackSize type that forces all call sites
to decide whether they want the size tracked or not.
If we find that other file_kinds or op_kinds are interesting (metadata
uploads, layer downloads, layer deletes) are interesting, we can just
enable them, and they'll be just another label combination within the
metrics that this PR adds.
fixes https://github.com/neondatabase/neon/issues/3922
This patch extends the libmetrics logging setup functionality with a
`tracing` layer that increments a Prometheus counter each time we log a
log message. We have the counter per tracing event level. This allows
for monitoring WARN and ERR log volume without parsing the log. Also, it
would allow cross-checking whether logs got dropped on the way into
Loki.
It would be nicer if we could hook deeper into the tracing logging
layer, to avoid evaluating the filter twice.
But I don't know how to do it.
Before this patch, if a tenant would override its eviction_policy
setting to use a lower LayerAccessThreshold::threshold than the
`evictions_low_residence_duration_metric_threshold`, the evictions done
for that tenant would count towards the
`evictions_with_low_residence_duration` metric.
That metric is used to identify pre-mature evictions, commonly triggered
by disk-usage-based eviction under disk pressure.
We don't want that to happen for the legitimate evictions of the tenant
that overrides its eviction_policy.
So, this patch
- moves the setting into TenantConf
- adds test coverage
- updates the staging & prod yamls
Forward Compatibility:
Software before this patch will ignore the new tenant conf field and use
the global one instead.
So we can roll back safely.
Backward Compatibility:
Parsing old configs with software as of this patch will fail in
`PageServerConf::parse_and_validate` with error
`unrecognized pageserver option 'evictions_low_residence_duration_metric_threshold'`
if the option is still present in the global section.
We deal with this by updating the configs in Ansible.
fixes https://github.com/neondatabase/neon/issues/3940
We use the term "endpoint" in for compute Postgres nodes in the web UI
and user-facing documentation now. Adjust the nomenclature in the code.
This changes the name of the "neon_local pg" command to "neon_local
endpoint". Also adjust names of classes, variables etc. in the python
tests accordingly.
This also changes the directory structure so that endpoints are now
stored in:
.neon/endpoints/<endpoint id>
instead of:
.neon/pgdatadirs/tenants/<tenant_id>/<endpoint (node) name>
The tenant ID is no longer part of the path. That means that you
cannot have two endpoints with the same name/ID in two different
tenants anymore. That's consistent with how we treat endpoints in the
real control plane and proxy: the endpoint ID must be globally unique.
Reason and backtrace are added to the Broken state. Backtrace is automatically collected when tenant entered the broken state. The format for API, CLI and metrics is changed and unified to return tenant state name in camel case. Previously snake case was used for metrics and camel case was used for everything else. Now tenant state field in TenantInfo swagger spec is changed to contain state name in "slug" field and other fields (currently only reason and backtrace for Broken variant in "data" field). To allow for this breaking change state was removed from TenantInfo swagger spec because it was not used anywhere.
Please note that the tenant's broken reason is not persisted on disk so the reason is lost when pageserver is restarted.
Requires changes to grafana dashboard that monitors tenant states.
Closes#3001
---------
Co-authored-by: theirix <theirix@gmail.com>
This PR adds a plugin that automatically reruns (up to 3 times) flaky
tests. Internally, it uses data from `TEST_RESULT_CONNSTR` database and
`pytest-rerunfailures` plugin.
As the first approximation we consider the test flaky if it has failed on
the main branch in the last 10 days.
Flaky tests are fetched by `scripts/flaky_tests.py` script (it's
possible to use it in a standalone mode to learn which tests are flaky),
stored to a JSON file, and then the file is passed to the pytest plugin.
This patch adds a pageserver-global background loop that evicts layers
in response to a shortage of available bytes in the $repo/tenants
directory's filesystem.
The loop runs periodically at a configurable `period`.
Each loop iteration uses `statvfs` to determine filesystem-level space
usage. It compares the returned usage data against two different types
of thresholds. The iteration tries to evict layers until app-internal
accounting says we should be below the thresholds. We cross-check this
internal accounting with the real world by making another `statvfs` at
the end of the iteration. We're good if that second statvfs shows that
we're _actually_ below the configured thresholds. If we're still above
one or more thresholds, we emit a warning log message, leaving it to the
operator to investigate further.
There are two thresholds:
- `max_usage_pct` is the relative available space, expressed in percent
of the total filesystem space. If the actual usage is higher, the
threshold is exceeded.
- `min_avail_bytes` is the absolute available space in bytes. If the
actual usage is lower, the threshold is exceeded.
The iteration evicts layers in LRU fashion with a reservation of up to
`tenant_min_resident_size` bytes of the most recent layers per tenant.
The layers not part of the per-tenant reservation are evicted
least-recently-used first until we're below all thresholds. The
`tenant_min_resident_size` can be overridden per tenant as
`min_resident_size_override` (bytes).
In addition to the loop, there is also an HTTP endpoint to perform one
loop iteration synchronous to the request. The endpoint takes an
absolute number of bytes that the iteration needs to evict before
pressure is relieved. The tests use this endpoint, which is a great
simplification over setting up loopback-mounts in the tests, which would
be required to test the statvfs part of the implementation. We will rely
on manual testing in staging to test the statvfs parts.
The HTTP endpoint is also handy in emergencies where an operator wants
the pageserver to evict a given amount of space _now. Hence, it's
arguments documented in openapi_spec.yml. The response type isn't
documented though because we don't consider it stable. The endpoint
should _not_ be used by Console but it could be used by on-call.
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
Co-authored-by: Dmitry Rodionov <dmitry@neon.tech>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
## Describe your changes
Added a query param to detach API
Allow to remove local state of a tenant even if its not in the memory
(following ignore API)
## Issue ticket number and link
#3828
## Checklist before requesting a review
- [x] 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.
---------
Co-authored-by: Kirill Bulatov <kirill@neon.tech>
This patch adds two metrics that will enable us to detect *thrashing* of
layers, i.e., repetitions of `eviction, on-demand-download, eviction,
... ` for a given layer.
The first metric counts all layer evictions per timeline. It requires no
further explanation. The second metric counts the layer evictions where
the layer was resident for less than a given threshold.
We can alert on increments to the second metric. The first metric will
serve as a baseline, and further, it's generally interesting, outside of
thrashing.
The second metric's threshold is configurable in PageServerConf and
defaults to 24h. The threshold value is reproduced as a label in the
metric because the counter's value is semantically tied to that
threshold. Since changes to the config and hence the label value are
infrequent, this will have low storage overhead in the metrics storage.
The data source to determine the time that the layer was resident is the
file's `mtime`. Using `mtime` is more of a crutch. It would be better if
Pageserver did its own persistent bookkeeping of residence change events
instead of relying on the filesystem. We had some discussion about this:
https://github.com/neondatabase/neon/pull/3809#issuecomment-1470448900
My position is that `mtime` is good enough for now. It can theoretically
jump forward if someone copies files without resetting `mtime`. But that
shouldn't happen in practice. Note that moving files back and forth
doesn't change `mtime`, nor does `chown` or `chmod`. Lastly, `rsync -a`,
which is typically used for filesystem-level backup / restore, correctly
syncs `mtime`.
I've added a label that identifies the data source to keep options open
for a future, better data source than `mtime`. Since this value will
stay the same for the time being, it's not a problem for metrics
storage.
refs https://github.com/neondatabase/neon/issues/3728
The control plane currently only supports EdDSA. We need to either teach
the storage to use EdDSA, or the control plane to use RSA. EdDSA is more
modern, so let's use that.
We could support both, but it would require a little more code and tests,
and we don't really need the flexibility since we control both sides.
## Describe your changes
Add Error enum for tenant state response to allow better error handling
in mgmt api
## Issue ticket number and link
#2238
## Checklist before requesting a review
- [x] 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.
This makes it possible to enable authentication only for the mgmt HTTP
API or the compute API. The HTTP API doesn't need to be directly
accessible from compute nodes, and it can be secured through network
policies. This also allows rolling out authentication in a piecemeal
fashion.
