As soon as we have received the SSLRequest packet, and have figured
out the hostname to connect to from the SNI, we can start passing
through data. We don't need to parse the StartupPacket that the client
will send next.
In order to not to create NodePorts for each compute we can setup
services that accept connections on wildcard domains and then use
information from domain name to route connection to some internal
service. There are ready solutions for HTTPS and TLS connections
but postgresql protocol uses opportunistic TLS and we haven't found
any ready solutions.
This patch introduces `pg_sni_router` which routes connections to
`aaa--bbb--123.external.domain` to `aaa.bbb.123.internal.domain`.
In the long run we can avoid console -> compute psql communications,
but now this router seems to be the easier way forward.
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.
Introduce read timeouts to our `page_service` connections. Without read
timeouts, we essentially leak connections.
This is a port of #3995. Split the refactorings to the other PR: #4097.
Fixes#4028.
- Increase `connect_timeout` to 30s, which should be enough for
most of the cases
- If the script cannot connect to the DB (or any other
`psycopg2.OperationalError` occur) — do not fail the script, log
the error and proceed. Problems with fetching flaky tests shouldn't
block the PR
Refactoring part of #4093.
Numerious `Send + Sync` bounds were a distraction, that were not needed
at all. The proper `Bytes` usage and one `"error_message".to_string()`
are just drive-by fixes.
Not using the `PostgresBackendTCP` allows us to start setting read
timeouts (and more). `PostgresBackendTCP` is still used from proxy, so
it cannot be removed.
PR `build: run clippy for powerset of features (#4077)` brought us a
`clippy --release` pass.
It was merged after #4030, which fails under `clippy --release` with
```
error: static `TENANT_ID_EXTRACTOR` is never used
--> pageserver/src/tenant/timeline.rs:4270:16
|
4270 | pub static TENANT_ID_EXTRACTOR: once_cell::sync::Lazy<
| ^^^^^^^^^^^^^^^^^^^
|
= note: `-D dead-code` implied by `-D warnings`
error: static `TIMELINE_ID_EXTRACTOR` is never used
--> pageserver/src/tenant/timeline.rs:4276:16
|
4276 | pub static TIMELINE_ID_EXTRACTOR: once_cell::sync::Lazy<
| ^^^^^^^^^^^^^^^^^^^^^
```
A merge queue would have prevented this.
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>
- Remove repeated tenant & timeline from span
- Demote logging of the path to debug level
- Log completion at info level, in the same function where we log errors
- distinguish between layer file download success & on-demand download
succeeding as a whole in the log message wording
- Assert that the span contains a tenant id and a timeline id
fixes https://github.com/neondatabase/neon/issues/3945
Before:
```
INFO compaction_loop{tenant_id=$TENANT_ID}:compact_timeline{timeline=$TIMELINE_ID}:download_remote_layer{tenant_id=$TENANT_ID timeline_id=$TIMELINE_ID layer=000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000020C8A71-00000000020CAF91}: download complete: /storage/pageserver/data/tenants/$TENANT_ID/timelines/$TIMELINE_ID/000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000020C8A71-00000000020CAF91
INFO compaction_loop{tenant_id=$TENANT_ID}:compact_timeline{timeline=$TIMELINE_ID}:download_remote_layer{tenant_id=$TENANT_ID timeline_id=$TIMELINE_ID layer=000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000020C8A71-00000000020CAF91}: Rebuilt layer map. Did 9 insertions to process a batch of 1 updates.
```
After:
```
INFO compaction_loop{tenant_id=$TENANT_ID}:compact_timeline{timeline=$TIMELINE_ID}:download_remote_layer{layer=000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000020C8A71-00000000020CAF91}: layer file download finished
INFO compaction_loop{tenant_id=$TENANT_ID}:compact_timeline{timeline=$TIMELINE_ID}:download_remote_layer{layer=000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000020C8A71-00000000020CAF91}: Rebuilt layer map. Did 9 insertions to process a batch of 1 updates.
INFO compaction_loop{tenant_id=$TENANT_ID}:compact_timeline{timeline=$TIMELINE_ID}:download_remote_layer{layer=000000000000000000000000000000000000-FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF__00000000020C8A71-00000000020CAF91}: on-demand download successful
```
It fixes the miscalculation of the metric for projects that use multiple
branches for the same endpoint.
We were under billing users with such projects. So we need to
communicate the change in Release Notes.
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
Follow-up fix after https://github.com/neondatabase/neon/pull/4067
```
+ crane tag neondatabase/vm-compute-node-v14:3064 latest
Error: fetching "neondatabase/vm-compute-node-v14:3064": GET https://index.docker.io/v2/neondatabase/vm-compute-node-v14/manifests/3064: MANIFEST_UNKNOWN: manifest unknown; unknown tag=3064
```
I reverted back the previous approach for promoting images
(login to one registry, save images to local fs, logout and login to
another registry, and push images from local fs). It turns out what
works for one Google project (kaniko), doesn't work for another (crane)
[sigh]
- Update kaniko to 1.9.2 (from 1.7.0), problem with reproducible build is fixed
- Login to ECR and Docker Hub at once, so we can push to several
registries, it makes job `push-docker-hub` unneeded
- `push-docker-hub` replaced with `promote-images` in `needs:` clause,
Pushing images to production ECR moved to `promote-images` job
## Describe your changes
Deploy `main` proxies to the preview environments
We don't deploy storage there yet, as it's tricky.
## Issue ticket number and link
https://github.com/neondatabase/cloud/issues/4737
And add corresponding unit test.
The fix is to use `.remove()` instead of `.get()` when processing the
arugments hash map.
The code uses emptiness of the hash map to determine whether all
arguments have been processed.
This was likely a copy-paste error.
refs https://github.com/neondatabase/neon/issues/3942
just record the time needed for waiting the lsn and then the basebackup
in a log message in millis. this is related to ongoing investigations to
cold start performance.
this could also be a a counter. it cannot be added next to smgr
histograms, because we don't want another histogram per timeline.
the aim is to allow drilling deeper into which timelines were slow, and
to understand why some need two basebackups.
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
Add a simple disarmable dropguard to log if request is cancelled before
it is completed. We currently don't have this, and it makes for
difficult to know when the request was dropped.
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.
Do several attempts to get spec from the control-plane and retry network
errors and all reasonable HTTP response codes. Do not hang waiting for
spec without confirmation from the control-plane that compute is known
and is in the `Empty` state.
Adjust the way we track `total_startup_ms` metric, it should be
calculated since the moment we received spec, not from the moment
`compute_ctl` started. Also introduce a new `wait_for_spec_ms` metric
to track the time spent sleeping and waiting for spec to be delivered
from control-plane.
Part of neondatabase/cloud#3533
Changes the vm-informant's postgres connection string's dbname from
"neondb" (which sometimes doesn't exist) to "postgres" (which
_hopefully_ should exist more often?).
Currently there are a handful of VMs in prod that aren't working with
autoscaling because they don't have the "neondb" database.
The vm-informant doesn't require any database in particular; it's just
connecting as `cloud_admin` to be able to adjust the file cache
settings.
