## Problem
USE_ASSERT _CHECKING is defined as empty entity. but it is checked using
#if
## Summary of changes
Replace `#if USE_ASSERT _CHECKING` with `#ifdef USE_ASSERT _CHECKING` as
done in other places in Postgres
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
## Problem
The code is intended to reschedule compaction immediately if there are
pending tasks. We set the duration to 0 before if there are pending
tasks, but this will go through the `if period == Duration::ZERO {`
branch and sleep for another 10 seconds.
## Summary of changes
Set duration to 1 so that it doesn't sleep for too long.
Signed-off-by: Alex Chi Z <chi@neon.tech>
## Problem
Any compaction should never produce l0 layers. This never happened in my
experiments, but would be good to guard it early.
## Summary of changes
Disallow gc-compaction to produce l0 layers.
Signed-off-by: Alex Chi Z <chi@neon.tech>
The full build of all extensions takes a long time. When working locally
on parts that don't need extensions, you can iterate more quickly by
skipping the unnecessary extensions.
This adds a build argument to the dockerfile to specify extensions to
build. There are three options:
- EXTENSIONS=all (default)
- EXTENSIONS=minimal: Build only a few extensions that are listed in
shared_preload_libraries in the default neon config.
- EXTENSIONS=none: Build no extensions (except for the mandatory 'neon'
extension).
## Problem
close https://github.com/neondatabase/neon/issues/10651
## Summary of changes
* Image layer creation starts from the next partition of the last
processed partition if the previous attempt was not complete.
* Add tests.
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
## Problem
When a shard has two secondary locations, but one of them is on a node
with MaySchedule::No, the optimiser would get stuck, because it couldn't
decide which secondary to remove.
This is generally okay if a node is offline, but if a node is in Pause
mode for a long period of time, it's a problem.
Closes: https://github.com/neondatabase/neon/issues/10646
## Summary of changes
- Instead of insisting on finding a node in the wrong AZ to remove, find
an available node in the _right_ AZ, and remove all the others. This
ensures that if there is one live suitable node, then other
offline/paused nodes cannot hold things up.
Given a remote extensions manifest of the following:
```json
{
"public_extensions": [],
"custom_extensions": null,
"library_index": {
"pg_search": "pg_search"
},
"extension_data": {
"pg_search": {
"control_data": {
"pg_search.control": "comment = 'pg_search: Full text search for PostgreSQL using BM25'\ndefault_version = '0.14.1'\nmodule_pathname = '$libdir/pg_search'\nrelocatable = false\nsuperuser = true\nschema = paradedb\ntrusted = true\n"
},
"archive_path": "13117844657/v14/extensions/pg_search.tar.zst"
}
}
}
```
We were allowing a compute to install a remote extension that wasn't
listed in either public_extensions or custom_extensions.
Signed-off-by: Tristan Partin <tristan@neon.tech>
## Problem
We don't have visibility into the ratio of image vs. delta pages
ingested in Pageservers. This might be useful to determine whether we
should compress WAL records before storing them, which in turn might
make compaction more efficient.
## Summary of changes
Add `pageserver_wal_ingest_values_committed` metric with dimensions
`class=metadata|data` and `kind=image|delta`.
## Problem
We get WARN log noise on tenant creations. Cplane creates tenants via
/location_config. That returns the attached locations in the response
and spawns a reconciliation which will also attempt to notify cplane. If
the notification is attempted before cplane persists the shards to its
database, storcon gets back a 404. The situation is harmless, but
annoying.
## Summary of Changes
* Add a tenant creation hint to the reconciler config
* If the hint is true and we get back a 404 on the notification from
cplane, ignore the error, but still queue the reconcile up for a retry.
Closes https://github.com/neondatabase/cloud/issues/20732
## Problem
Ref: https://github.com/neondatabase/cloud/issues/23461
and follow-up after: https://github.com/neondatabase/neon/pull/10553
we used `echo` to set-up `.wgetrc` and `.curlrc`, and there we used `\n`
to make these multiline configs with one echo command.
The problem is that Debian `/bin/sh`'s built-in echo command behaves
differently from the `/bin/echo` executable and from the `echo` built-in
in `bash`. Namely, it does not support the`-e` option, and while it does
treat `\n` as a newline, passing `-e` here will add that `-e` to the
output.
At the same time, when we use different base images, for example
`alpine/curl`, their `/bin/sh` supports and requires `-e` for treating
escape sequences like `\n`.
But having different `echo` and remembering difference in their
behaviour isn't best experience for the developer and makes bad
experience maintaining Dockerfiles.
Work-arounds:
- Explicitly use `/bin/bash` (like in this PR)
- Use `/bin/echo` instead of the shell's built-in echo function
- Use printf "foo\n" instead of echo -e "foo\n"
## Summary of changes
1. To fix that, we process with the option setting `/bin/bash` as a
SHELL for the debian-baysed layers
2. With no changes for `alpine/curl` based layers.
3. And one more change here: in `extensions` layer split to the 2 steps:
installing dependencies from `CPAN` and installing `lcov` from github,
so upgrading `lcov` could reuse previous layer with installed cpan
modules.
## Problem
We wish to make heatmap generation additive in
https://github.com/neondatabase/neon/pull/10597.
However, if the pageserver restarts and has a heatmap on disk from when
it was a secondary long ago,
we can end up keeping extra layers on the secondary's disk.
## Summary of changes
Persist the heatmap after a successful upload.
## Problem
Hopefully this can resolve
https://github.com/neondatabase/neon/issues/10517. The reason why the
test is flaky is that after restart the compute node might write some
data so that the pageserver flush some layers, and in the end, causing
L0 compaction to run, and we cannot get the test scenario as we want.
## Summary of changes
Ensure all L0 layers are compacted before starting the test.
Signed-off-by: Alex Chi Z <chi@neon.tech>
## Problem
In #9895, we fixed some issues where `ClearVmBits` were broadcast to all
shards, even those not owning the VM relation. As part of that, we found
some ancient code from #1417, which discarded spurious incorrect
`ClearVmBits` records for pages outside of the VM relation. We added
observability in #9911 to see how often this actually happens in the
wild.
After two months, we have not seen this happen once in production or
staging. However, out of caution, we don't want a hard error and break
WAL ingestion.
Resolves#10067.
## Summary of changes
Log a critical error when ingesting `ClearVmBits` for unknown VM
relations or pages.
## Problem
We want to switch proxy and ideally all Rust services to structured JSON
logging to support better filtering and cross-referencing with tracing.
## Summary of changes
* Introduce a custom tracing-subscriber to write the JSON. In a first
attempt a customized tracing::fmt::FmtSubscriber was used, but it's very
inefficient and can still generate invalid JSON. It's also doesn't allow
us to add important fields to the root object.
* Make this opt in: the `LOGFMT` env var can be set to `"json"` to
enable to new logger at startup.
This PR does a bunch of things:
* only allow errors of the server cert verification, not of the TLS
handshake. The TLS handshake doesn't cause any errors for us so we can
just always require it to be valid. This simplifies the code a little.
* As the solution is more permanent than originally anticipated, I think
it makes sense to move the `AcceptAll` verifier outside.
* log the connstr information. this helps with figuring out which domain
names are configured in the connstr, etc. I think it is generally useful
to print it. make extra sure that the password is not leaked.
Follow-up of #10640
Refactor how extensions are built in compute Dockerfile
1. Rename some of the extension layers, so that names correspond more
precisely to the upstream repository name and the source directory
name. For example, instead of "pg-jsonschema-pg-build", spell it
"pg_jsonschema-build". Some of the layer names had the extra "pg-"
part, and some didn't; harmonize on not having it. And use an
underscore if the upstream project name uses an underscore.
2. Each extension now consists of two dockerfile targets:
[extension]-src and [extension]-build. By convention, the -src
target downloads the sources and applies any neon-specific patches
if necessary. The source tarball is downloaded and extracted under
/ext-src. For example, the 'pgvector' extension creates the
following files and directory:
/ext-src/pgvector.tar.gz # original tarball
/ext-src/pgvector.patch # neon-specific patch, copied from patches/ dir
/ext-src/pgvector-src/ # extracted tarball, with patch applied
This separation avoids re-downloading the sources every time the
extension is recompiled. The 'extension-tests' target also uses the
[extension]-src layers, by copying the /ext-src/ dirs from all
the extensions together into one image.
This refactoring came about when I was experimenting with different
ways of splitting up the Dockerfile so that each extension would be in
a separate file. That's not part of this PR yet, but this is a good
step in modularizing the extensions.
## Problem
Image layer generation could block L0 compactions for a long time.
## Summary of changes
* Refactored the return value of `create_image_layers_for_*` functions
to make it self-explainable.
* Preempt image layer generation in `Try` mode if L0 piles up.
Note that we might potentially run into a state that only the beginning
part of the keyspace gets image coverage. In that case, we either need
to implement something to prioritize some keyspaces with image coverage,
or tune the image_creation_threshold to ensure that the frequency of
image creation could keep up with L0 compaction.
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
Co-authored-by: Erik Grinaker <erik@neon.tech>
## Problem
We don't currently have good alerts for critical errors, e.g. data
loss/corruption.
Touches #10094.
## Summary of changes
Add a `critical!` macro and corresponding
`libmetrics_tracing_event_count{level="critical"}` metric. This will:
* Emit an `ERROR` log message with prefix `"CRITICAL:"` and a backtrace.
* Increment `libmetrics_tracing_event_count{level="critical"}`, and
indirectly `level="error"`.
* Trigger a pageable alert (via the metric above).
* In debug builds, panic the process.
I'll add uses of the macro separately.
## Problem
I noticed when onboarding lots of tenants that the AZ scheduling
violation stat was climbing, before falling later as optimisations
happened. This was happening because we first add the tenant with
PlacementPolicy::Secondary, and then later go to
PlacementPolicy::Attached, and the scheduler's behavior led to a bad AZ
choice:
1. Create a secondary location in the non-preferred AZ
2. Upgrade to Attached where we promote that non-preferred-AZ location
to attached and then create another secondary
3. Optimiser later realises we're in the wrong AZ and moves us
## Summary of changes
- Extend some logging to give more information about AZs
- When scheduling secondary location in PlacementPolicy::Secondary,
select it as if we were attached: in this mode, our business goal is to
have a warm pageserver location that we can make available as attached
quickly if needed, therefore we want it to be in the preferred AZ.
- Make optimize_secondary logic the same, so that it will consider a
secondary location in the preferred AZ to be optimal when in
PlacementPolicy::Secondary
- When transitioning to from PlacementPolicy::Attached(N) to
PlacementPolicy::Secondary, instead of arbitrarily picking a location to
keep, prefer to keep the location in the preferred AZ
We encountered some TLS validation errors for the storcon since applying
#10614. Add an option to downgrade them to logged errors instead to
allow us to debug with more peace.
cc issue https://github.com/neondatabase/cloud/issues/23583
## Problem
* The behavior of this flag changed. Plus, it's not necessary to disable
the IP check as long as there are no IPs listed in the local postgres.
## Summary of changes
* Drop the flag from the command in the README.md section.
* Change the postgres URL passed to proxy to not use the endpoint
hostname.
* Also swap postgres creation and proxy startup, so the DB is running
when proxy comes up.
## Problem
Tests for logical replication (on Staging) have been failing for some
time because logical replication is not enabled for them. This issue
occurred after switching to an org API key with a different default
setting, where logical replication was not enabled by default.
## Summary of changes
- Add `enable_logical_replication` input to
`actions/neon-project-create`
- Enable logical replication in `test-logical-replication` job
Logging errors with the debug format specifier causes multi-line errors,
which are sometimes a pain to deal with. Instead, we should use anyhow's
alternate display format, which shows the same information on a single
line.
Also adjusted a couple of error messages that were stale.
Fixesneondatabase/cloud#14710.
## Problem
1. First of all it's more correct
2. Current usage allows ` Time-of-Check-Time-of-Use (TOCTOU) 'Pwn
Request' vulnerabilities`. Please check security slack channel or reach
me for more details. I will update PR description after merge.
## Summary of changes
1. Use `actions/checkout` with `ref: ${{
github.event.pull_request.head.sha }}`
Discovered by and Co-author: @varunsh-coder
Fixes flaky test_lr_with_slow_safekeeper test #10242
Fix query to `pg_catalog.pg_stat_subscription` catalog to handle table
synchronization and parallel LR correctly.
Successor of #10280 after it was reverted in #10592.
Re-introduce the usage of diesel-async again, but now also add TLS
support so that we connect to the storcon database using TLS. By
default, diesel-async doesn't support TLS, so add some code to make us
explicitly request TLS.
cc https://github.com/neondatabase/cloud/issues/23583
## Problem
While working on https://github.com/neondatabase/neon/pull/10617 I
(unintentionally) merged the PR before the main CI pipeline has
finished.
I suspect this happens because we have received all the required job
results from the pre-merge-checks workflow, which runs on PRs that
include changes to relevant files.
## Summary of changes
- Skip the `conclusion` job in `pre-merge-checks` workflows for PRs
## Problem
This test would sometimes emit unexpected logs from the storage
controller's requests to do migrations, which overlap with the test's
restarts of pageservers, where those migrations are happening some time
after a shard split as the controller moves load around.
Example:
https://neon-github-public-dev.s3.amazonaws.com/reports/pr-10602/13067323736/index.html#testresult/f66f1329557a1fc5/retries
## Summary of changes
- Do a reconcile_until_idle after shard split, so that the rest of the
test doesn't run concurrently with migrations
In the safekeeper, we block deletions on the timeline's gate closing,
and any `WalResidentTimeline` keeps the gate open (because it owns a
gate lock object). Thus, unless the `main_task` function of a partial
backup doesn't return, we can't delete the associated timeline.
In order to make these tasks exit early, we call the cancellation token
of the timeline upon its shutdown. However, the partial backup task
wasn't looking for the cancellation while waiting to acquire a partial
backup permit.
On a staging safekeeper we have been in a situation in the past where
the semaphore was already empty for a duration of many hours, rendering
all attempted deletions unable to proceed until a restart where the
semaphore was reset:
https://neondb.slack.com/archives/C03H1K0PGKH/p1738416586442029
## Problem
when introducing pg17 for job step `Generate matrix for OLAP benchmarks`
I introduced a syntax error that only hits on Saturdays.
## Summary of changes
Remove trailing comma
## successful test run
https://github.com/neondatabase/neon/actions/runs/13086363907
- Wired up filtering on VPC endpoints
- Wired up block access from public internet / VPC depending on per
project flag
- Added cache invalidation for VPC endpoints (partially based on PR from
Raphael)
- Removed BackendIpAllowlist trait
---------
Co-authored-by: Ivan Efremov <ivan@neon.tech>
We forked copy_bidirectional to solve some issues like fast-shutdown
(disallowing half-open connections) and to introduce better error
tracking (which side of the conn closed down).
A change recently made its way upstream offering performance
improvements: https://github.com/tokio-rs/tokio/pull/6532. These seem
applicable to our fork, thus it makes sense to apply them here as well.
The primary benefit is that all the ad hoc get_matches() calls are no
longer necessary. Now all it takes to get at the CLI arguments is
referencing a struct member. It's also great the we can replace the ad
hoc CLI struct we had with this more formal solution.
Signed-off-by: Tristan Partin <tristan@neon.tech>
## Problem
Merge Queue fails if changes include Rust code.
## Summary of changes
- Fix condition for `build-build-tools-image`
- Add a couple of no-op `false ||` to make predicates look
symmetric
## Problem
When a client dropped before a request completed, and a handler returned
an ApiError, we would log that at error severity. That was excessive in
the case of a request erroring on a shutdown, and could cause test
flakes.
example:
https://neon-github-public-dev.s3.amazonaws.com/reports/main/13067651123/index.html#suites/ad9c266207b45eafe19909d1020dd987/6021ce86a0d72ae7/
```
Cancelled request finished with an error: ShuttingDown
```
## Summary of changes
- Log a different info-level on ShuttingDown and ResourceUnavailable API
errors from cancelled requests
## Problem
This assertion is incorrect: it is legal to see another shard's data at
this point, after a shard split.
Closes: https://github.com/neondatabase/neon/issues/10609
## Summary of changes
- Remove faulty assertion
## Problem
There are two (related) problems with the previous handling of
`cargo-deny`:
- When a new advisory is added to rustsec that affects a dependency,
unrelated pull requests will fail.
- New advisories rely on pushes or PRs to be surfaced. Problems that
already exist on main will only be found if we try to merge new things
into main.
## Summary of changes
We split out `cargo-deny` into a separate workflow that runs on all PRs
that touch `Cargo.lock`, and on a schedule on `main`, `release`,
`release-compute` and `release-proxy` to find new advisories.
Update to a rebased version of our rust-postgres patches, rebased on
[this](98f5a11bc0)
commit this time.
With #10280 reapplied, this means that the rust-postgres crates will be
deduplicated, as the new crate versions are finally compatible with the
requirements of diesel-async.
Earlier update: #10561
rust-postgres PR: https://github.com/neondatabase/rust-postgres/pull/39
## Problem
We want to check that `diesel print-schema` doesn't generate any changes
(`storage_controller/src/schema.rs`) in comparison with the list of
migration.
## Summary of changes
- Add `diesel_cli` to `build-tools` image
- Add `Check diesel schema` step to `build-neon` job, at this stage we
have all required binaries, so don't need to compile anything
additionally
- Check runs only on x86 release builds to be sure we do it at least
once per CI run.
Ref: https://github.com/neondatabase/cloud/issues/23461
## Problem
Just made changes around and see these 2 base layers could be optimised.
and after review comment from @myrrc setting up timeouts and retries in
`alpine/curl` image
## Summary of changes
## Problem
This test may not fully detect data corruption during splits, since we
don't force-compact the entire keyspace.
## Summary of changes
Force-compact all data in `test_sharding_autosplit`.
## Problem
If offloading races with normal shutdown, we get a "failed to freeze and
flush: cannot flush frozen layers when flush_loop is not running, state
is Exited". This is harmless but points to it being quite strange to try
and freeze and flush such a timeline. flushing on shutdown for an
archived timeline isn't useful.
Related: https://github.com/neondatabase/neon/issues/10389
## Summary of changes
- During Timeline::shutdown, ignore ShutdownMode::FreezeAndFlush if the
timeline is archived
## Problem
test_scrubber_tenant_snapshot restarts pageservers, but log validation
fails tests on any non white listed storcon warnings, making the test
flaky.
## Summary of changes
Allow warns like
2025-01-29T12:37:42.622179Z WARN reconciler{seq=1
tenant_id=2011077aea9b4e8a60e8e8a19407634c shard_id=0004}: Call to node
2 (localhost:15352) management API failed, will retry (attempt 1):
receive body: error sending request for url
(http://localhost:15352/v1/tenant/2011077aea9b4e8a60e8e8a19407634c-0004/location_config):
client error (Connect)
ref https://github.com/neondatabase/neon/issues/10462
Update `tokio` base crates and their deps. Pin `tokio` to at least 1.41
which stabilized task ID APIs.
To dedup `mio` dep the `notify` crate is updated. It's used in
`compute_tools`.
9f81828429/compute_tools/src/pg_helpers.rs (L258-L367)
## Problem
Because dashmap 6 switched to hashbrown RawTable API, it required us to
use unsafe code in the upgrade:
https://github.com/neondatabase/neon/pull/8107
## Summary of changes
Switch to clashmap, a fork maintained by me which removes much of the
unsafe and ultimately switches to HashTable instead of RawTable to
remove much of the unsafe requirement on us.
The test runs this query:
select count(*), sum(data::bigint)::bigint from t
to validate the test results between each part of the test. It performs
a simple sequential scan and aggregation, but was taking an order of
magnitude longer on v17 than on previous Postgres versions, which
sometimes caused the test to time out. There were two reasons for that:
1. On v17, the planner estimates the table to have only only one row. In
reality it has 305790 rows, and older versions estimated it at 611580,
which is not too bad given that the table has not been analyzed so the
planner bases that estimate just on the number of pages and the widths
of the datatypes. The new estimate of 1 row is much worse, and it leads
the planner to disregard parallel plans, whereas on older versions you
got a Parallel Seq Scan.
I tracked this down to upstream commit 29cf61ade3, "Consider fillfactor
when estimating relation size". With that commit,
table_block_relation_estimate_size() function calculates that each page
accommodates less than 1 row when the fillfactor is taken into account,
which rounds down to 0. In reality, the executor will always place at
least one row on a page regardless of fillfactor, but the new estimation
formula doesn't take that into account.
I reported this to pgsql-hackers
(https://www.postgresql.org/message-id/2bf9d973-7789-4937-a7ca-0af9fb49c71e%40iki.fi),
we don't need to do anything more about it in neon. It's OK to not use
parallel scans here; once issue 2. below is addressed, the queries are
fast enough without parallelism..
2. On v17, prefetching was not happening for the sequential scan. That's
because starting with v17, buffers are reserved in the shared buffer
cache before prefetching is initiated, and we use a tiny
shared_buffers=1MB setting in the tests. The prefetching is effectively
disabled with such a small shared_buffers setting, to protect the system
from completely starving out of buffers.
To address that, simply bump up shared_buffers in the test.
This patch addresses the second issue, which is enough to fix the
problem.
## Problem
In https://github.com/neondatabase/neon/pull/10438 it was pointed out
that it would be good to avoid picking tenants in ID order, and also to
avoid situations where we might double-select the same tenant.
There was an initial swing at this in
https://github.com/neondatabase/neon/pull/10443, where Chi suggested a
simpler approach which is done in this PR
## Summary of changes
- Split total set of tenants into in and out of home AZ
- Consume out of home AZ first, and if necessary shuffle + consume from
out of home AZ
## Problem
In https://github.com/neondatabase/neon/pull/10438 I had got the
function for picking tenants backwards, and it was preferring to move
things _away_ from their preferred AZ.
## Summary of changes
- Fix condition in `is_attached_outside_preferred_az`
## Problem
Timeline bootstrap starts a flush loop, but doesn't reliably shut down
the timeline (incl. waiting for flush loop to exit) before destroying
UninitializedTimeline, and that destructor tries to clean up local
storage. If local storage is still being written to, then this is
unsound.
Currently the symptom is that we see a "Directory not empty" error log,
e.g.
https://neon-github-public-dev.s3.amazonaws.com/reports/main/12966756686/index.html#testresult/5523f7d15f46f7f7/retries
## Summary of changes
- Move fallible IO part of bootstrap into a function (notably, this is
fallible in the case of the tenant being shut down while creation is
happening)
- When that function returns an error, call shutdown() on the timeline
## Problem
The test asserts that it completes at least 10 full timeline lifecycles,
but the noisy CI environment sometimes doesn't meet that goal.
Related: https://github.com/neondatabase/neon/issues/10389
## Summary of changes
- Sleep for longer between pageserver restarts, so that the timeline
workers have more chance to make progress
- Sleep for shorter between retries from timeline worker, so that they
have better chance to get in while a pageserver is up between restarts
- Relax the success condition to complete at least 5 iterations instead
of 10
## Problem
for OLAP benchmarks we need specific connstr secrets with different
database names for each job step
This is a follow-up for https://github.com/neondatabase/neon/pull/10536
In previous PR we used a common GitHub secret for a shared re-use
project that has 4 databases: neondb, tpch, clickbench and userexamples.
[Failure
example](https://neon-github-public-dev.s3.amazonaws.com/reports/main/13044872855/index.html#suites/54d0af6f403f1d8611e8894c2e07d023/fc029330265e9f6e/):
```log
# /tmp/neon/pg_install/v17/bin/psql user=neondb_owner dbname=neondb host=ep-broad-brook-w2luwzzv.us-east-2.aws.neon.build sslmode=require options='-cstatement_timeout=0 ' -c -- $ID$
-- TPC-H/TPC-R Pricing Summary Report Query (Q1)
-- Functional Query Definition
-- Approved February 1998
...
ERROR: relation "lineitem" does not exist
```
## Summary of changes
We need dedicated GitHub secrets and dedicated connection strings for
each of the use cases.
## Test run
https://github.com/neondatabase/neon/actions/runs/13053968231
It took me ages to figure out why it was failing on my laptop. What I
saw was that when the test makes the 'import_pgdata' in the pageserver,
the pageserver actually performs a regular 'bootstrap' timeline creation
by running initdb, with no importing. It boiled down to the json request
that the test uses:
```
{
"new_timeline_id": str(timeline_id),
"import_pgdata": {
"idempotency_key": str(idempotency),
"location": {"LocalFs": {"path": str(importbucket.absolute())}},
},
},
```
and how serde deserializes into rust structs. The 'LocalFs' enum variant
in `models.rs` is gated on the 'testing' cargo feature. On a non-testing
build, that got deserialized into the default Bootstrap enum variant, as
a valid TimelineCreateRequestModeImportPgdata variant could not be
formed.
PS. IMHO we should get rid of the testing feature, compile in all the
functionality, and have a runtime flag to disable anything dangeorous.
With that, you would've gotten a nice "feature only enabled in testing
mode" error in this case, or the test would've simply worked. But that's
another story.
## Problem
close https://github.com/neondatabase/neon/issues/10482
## Summary of changes
Add an extra lock on the read path to protect against races. The read
path has an implication that only certain kind of compactions can be
performed. Garbage keys must first have an image layer covering the
range, and then being gc-ed -- they cannot be done in one operation. An
alternative to fix this is to move the layers read guard to be acquired
at the beginning of `get_vectored_reconstruct_data_timeline`, but that
was intentionally optimized out and I don't want to regress.
The race is not limited to image layers. Gc-compaction will consolidate
deltas automatically and produce a flat delta layer (i.e., when we have
retain_lsns below the gc-horizon). The same race would also cause
behaviors like getting an un-replayable key history as in
https://github.com/neondatabase/neon/issues/10049.
Signed-off-by: Alex Chi Z <chi@neon.tech>
## Problem
In some cases, we were returning a very shallow error like `error
sending request for url (XXX)`, which made it very hard to figure out
the actual error.
## Summary of changes
Use `{:?}` in a few places, and remove it from places where we were
printing a string anyway.
Related to #10308, we might have legitimate changes in file size or
generation. Those changes should not cause warn log lines.
In order to detect changes of the generation number while the file size
stayed the same, load the metadata that we store on disk on loading of
the timeline.
Still do a comparison with the on-disk layer sizes to find any
discrepancies that might occur due to race conditions (new metadata file
gets written but layer file has not been updated yet, and PS shuts
down). However, as it's possible to hit it in a race conditon, downgrade
it to a warning.
Also fix a mistake in #10529: we want to compare the old with the new
metadata, not the old metadata with itself.
## Problem
The client code for `tenant-set-preferred-az` declared response type
`()`, so printed a spurious error on each use:
```
Error: receive body: error decoding response body: invalid type: map, expected unit at line 1 column 0
```
The requests were successful anyway.
## Summary of changes
- Declare the proper return type, so that the command succeeds quietly.
## Problem
We don't have per-timeline observability for read amplification.
Touches https://github.com/neondatabase/cloud/issues/23283.
## Summary of changes
Add a per-timeline `pageserver_layers_per_read` histogram.
NB: per-timeline histograms are expensive, but probably worth it in this
case.
## Problem
We suspect that Postgres checkpoints will limit the number of page
deltas necessary to reconstruct a page, but don't know for certain.
Touches https://github.com/neondatabase/cloud/issues/23283.
## Summary of changes
Add `pageserver_deltas_per_read_global` metric.
This pairs with `pageserver_layers_per_read_global` from #10573.
## Problem
The current global `pageserver_layers_visited_per_vectored_read_global`
metric does not appear to accurately measure read amplification. It
divides the layer count by the number of reads in a batch, but this
means that e.g. 10 reads with 100 L0 layers will only measure a read amp
of 10 per read, while the actual read amp was 100.
While the cost of layer visits are amortized across the batch, and some
layers may not intersect with a given key, each visited layer
contributes directly to the observed latency for every read in the
batch, which is what we care about.
Touches https://github.com/neondatabase/cloud/issues/23283.
Extracted from #10566.
## Summary of changes
* Count the number of layers visited towards each read in the batch,
instead of the average across the batch.
* Rename `pageserver_layers_visited_per_vectored_read_global` to
`pageserver_layers_per_read_global`.
* Reduce the read amp log warning threshold down from 512 to 100.
## Problem
Follow up of https://github.com/neondatabase/neon/pull/10550 in case the
upper limit is set larger than threshold. It does not make sense for
someone to enforce the behavior like "if there are >= 50 L0s, only
compact 10 of them".
## Summary of changes
Use the maximum of compaction threshold and upper limit when selecting
L0 files to compact.
Signed-off-by: Alex Chi Z <chi@neon.tech>
## Problem
Repartition is slow, but it's only used in image layer creation. We can
skip it if we have a lot of L0 layers to ingest.
## Summary of changes
If L0 compaction is not complete, do not repartition and do not create
image layers.
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
## Problem
We don't have good observability for per-timeline compaction debt,
specifically the number of delta layers in the frozen, L0, and L1
levels.
Touches https://github.com/neondatabase/cloud/issues/23283.
## Summary of changes
* Add a `level` label for `pageserver_layer_{count,size}` with values
`l0`, `l1`, and `frozen`.
* Track metrics for frozen layers.
There is already a `kind={delta,image}` label. `kind=image` is only
possible for `level=l1`.
We don't include the currently open ephemeral layer, only frozen layers.
There is always exactly 1 ephemeral layer, with a dynamic size which is
already tracked in `pageserver_timeline_ephemeral_bytes`.
## Problem
benchmarking.yml so far is only running benchmarks with PostgreSQL
version 16.
However neon recently changed the default for new customers to
PostgreSQL version 17.
See related [epic](https://github.com/neondatabase/cloud/issues/23295)
## Summary of changes
We do not want to run every job step with both pg 16 and 17 because this
would need excessive resources (runners, computes) and extend the
benchmarking run wall clock time too much.
So we select an opinionated subset of testcases that we also report in
weekly reporting and add a postgres v17 job step.
For re-use projects associated Neon projects have been created and
connection strings have been added to neon database organization
secrets.
A follow up is to add the reporting for these new runs to some grafana
dashboards.
## Problem
1. d04d924 added separate metrics for total requests and failures
separately, but it doesn't make much sense. We could just have a unified
counter with `http_status`.
2. `test_compute_migrations_retry` had a race, i.e., it was waiting for
the last successful migration, not an actual failure. This was revealed
after adding an assert on failure metric in d04d924.
## Summary of changes
1. Switch to unified counters for `compute_ctl` requests.
2. Add a waiting loop into `test_compute_migrations_retry` to eliminate
the race.
Part of neondatabase/cloud#17590
## Problem
If we are GC-ing because a new image layer was added while traversing
the timeline, then it will remove layers that are required for
fulfilling the current get request (read-path cannot "look back" and
notice the new image layer).
## Summary of Changes
Prevent GC from progressing on the current timeline while it is being
visited for a read.
Epic: https://github.com/neondatabase/neon/issues/9376
Luckily they were the same version, so we didn't spend time compiling
two versions, which could have been the case in the future.
Signed-off-by: Tristan Partin <tristan@neon.tech>
## Problem
The approach of having CancelMap as an in-memory structure increases
code complexity,
as well as putting additional load for Redis streams.
## Summary of changes
- Implement a set of KV ops for Redis client;
- Remove cancel notifications code;
- Send KV ops over the bounded channel to the handling background task
for removing and adding the cancel keys.
Closes#9660
## Problem
We have to test the extensions, shipped with Neon for compatibility
before the upgrade.
## Summary of changes
Added the test for compatibility with the upgraded extensions.
## Problem
Follow-up of the incident, we should not use the same bound on
lower/upper limit of compaction files. This patch adds an upper bound
limit, which is set to 50 for now.
## Summary of changes
Add `compaction_upper_limit`.
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
Co-authored-by: Christian Schwarz <christian@neon.tech>
## Problem
Ref: https://github.com/neondatabase/cloud/issues/23314
We suspect some inconsistency in Benchmark tests runs could be due to
different type of runners they are landed in.
To have that aligned in both terms: failure rates and benchmark results,
lets run them for now on `small-metal` servers and see the progress for
the tests stability.
## Summary of changes
## Problem
There are several parts of `compute_ctl` with a very low visibility of
errors:
1. DB migrations that run async in the background after compute start.
2. Requests made to control plane (currently only `GetSpec`).
3. Requests made to the remote extensions server.
## Summary of changes
Add new counters to quickly evaluate the amount of errors among the
fleet.
Part of neondatabase/cloud#17590
## Problem
https://github.com/neondatabase/neon/pull/10448 removed release notes,
because if their generation failed, the whole release was failing.
People liked them though, and wanted some basic release notes as a
fall-back instead of completely removing them.
## Summary of changes
Include basic release notes that link to the release PR and to a diff to
the previous release.
## Problem
We've seen the ingest connection manager get stuck shortly after a
migration.
## Summary of changes
A speculative mitigation is to use the same mechanism as get page
requests for kicking LSN ingest. The connection manager monitors
LSN waits and queries the broker if no updates are received for the
timeline.
Closes https://github.com/neondatabase/neon/issues/10351
## Problem
We need a setting to disable the flush upload wait, to test L0 flush
backpressure in staging.
## Summary of changes
Add `l0_flush_wait_upload` setting.
## Problem
The request data and usage metrics S3 requests use the same identifier
shown in logs, causing confusion about what type of upload failed.
## Summary of changes
Use the correct identifier for usage metrics uploads.
neondatabase/cloud#23084
Only a few things that needed updating:
- async_trait was removed
- Message::Text takes a Utf8Bytes object instead of a String
Signed-off-by: Tristan Partin <tristan@neon.tech>
Co-authored-by: Conrad Ludgate <connor@neon.tech>
In #10308, we noticed many warnings about the local layer having
different sizes on-disk compared to the metadata.
However, the layer downloader would never redownload layer files if the
sizes or generation numbers change. This is obviously a bug, which we
aim to fix with this PR.
This change also moves the code deciding what to do about a layer to a
dedicated function: before we handled the "routing" via control flow,
but now it's become too complicated and it is nicer to have the
different verdicts for a layer spelled out in a list/match.
This reverts commit 9e55d79803.
We'll still need this until we can tune L0 flush backpressure and
compaction. I'll add a setting to disable this separately.
## Problem
This one is fairly embarrassing. Safekeeper node id was used in the
pageserver application name
when connecting to safekeepers.
## Summary of changes
Use the right node id.
Closes https://github.com/neondatabase/neon/issues/10461
We want to verify if pageserver stripe size has an impact on ingest
performance.
We want to verify if ingest performance has improved or regressed with
postgres version 17.
## Summary of changes
- Allow to create new project with different postgres versions
- allow to pre-shard new project with different stripe sizes instead of
relying on storage manager to shard_split the project once a threshold
is exceeded
Replaces https://github.com/neondatabase/neon/pull/10509
Test run https://github.com/neondatabase/neon/actions/runs/12986410381
We now don't need libpq any more for the build of the storage
controller, as we use `diesel-async` since #10280. Therefore, we remove
the env var that gave cargo/rustc the location for libpq.
Follow-up of #10280
During broker deploys, pageservers log this noisy WARN en masse.
I can trivially reproduce the WARN message in neon_local by SIGKILLing
broker during e.g. `pgbench -i`.
I don't understand why tonic is not detecting the error as
`Code::Unavailable`.
Until we find time to understand that / fix upstream, this PR adds the
error message to the existing list of known error messages that get
demoted to INFO level.
Refs:
- refs https://github.com/neondatabase/neon/issues/9562
## Problem
We were logging a warning after a single request timeout, while listing
objects.
Closes: https://github.com/neondatabase/neon/issues/10166
## Summary of changes
- These timeouts are a pretty normal part of life, so back it off to
only log a warning after two in a row.
## Problem
From time to time, folks discover our `control_plane/` folder and make
the (reasonable) mistake of thinking it's a tool for running full-sized
Neon systems, whereas in reality it is a tool for dev/test.
## Summary of changes
- Change control_plane's readme title to "Local Development Control
Plane (`neon_local`)`
- Change "Running local installation" to "Running a local development
environment" in the main readme
## Problem
The intent of this parameter is to have pageservers consider themselves
"full" if they've got lots of shards, even if they have plenty of
capacity. It works, but because we typically successfully oversubscribe
capacity up to 200%, the MAX_SHARDS limit is effectively doubled, so
this 20,000 value ends up meaning 40,000, whereas the original intent
was to limit nodes to ~10000 shards.
## Summary of changes
- Change MAX_SHARDS to 5000, so that a node with 5000 will get a 100%
utilization, which is equivalent in practice to being considered "half
full" by the storage controller in capacity terms.
This is all a bit subtle and indiret. Originally the limit was baked
into the pageserver with the idea that the pageserver knows better what
its own resources tolerate than the storage controller does, but in
practice it would be probably be easier to understand all this if we
just did it controller-side. So there's scope to refactor here in
future.
Switches the storcon away from using diesel's synchronous APIs in favour
of `diesel-async`.
Advantages:
* less C dependencies, especially no openssl, which might be behind the
bug: https://github.com/neondatabase/cloud/issues/21010
* Better to only have async than mix of async plus `spawn_blocking`
We had to turn off usage of the connection pool for migrations, as
diesel migrations don't support async APIs. Thus we still use
`spawn_blocking` in that one place. But this is explicitly done in one
of the `diesel-async` examples.
## Problem
In ingest benchmarks, we see L0 compaction delays of over 10 minutes due
to image compaction. We can't stall L0 flushes for that long.
## Summary of changes
Disable L0 flush stalls, and bump the default L0 flush delay threshold
from 20 to 30 L0 layers.
## Problem
If compaction fails, we disable L0 flush stalls to avoid persistent
stalls. However, the logic would unset the failure marker on offload
failures or shutdown. This can lead to sudden L0 flush stalls if we try
and fail to offload a timeline with compaction failures, or if there is
some kind of shutdown race.
Touches #10405.
## Summary of changes
Don't touch the compaction failure marker on offload failures or
shutdown.
## Problem
After talking about it again with @bayandin again this should replace
the changes from https://github.com/neondatabase/neon/pull/10475. While
the previous changes worked, they are less visually clear in what
happens, and we might end up in a situation where we update `latest`,
but don't actually have the tagged image pushed that contains the same
changes. The latter would result in potentially hard to debug
situations.
## Summary of changes
Revert c283aaaf8d and make
promote-images-prod depend on promote-images-dev instead.
## Problem
The containers' log output is mixed with the tests' output, so you must
scroll up to find the error.
## Summary of changes
Printing of containers' logs moved to a separate step.
Note: this has to merge after the release is cut on `2025-01-17` for
compat tests to start passing.
## Problem
SK wal reader fan-out is not enabled in tests by default.
## Summary of changes
Enable it.
## Problem
There is no direct backpressure for compaction and L0 read
amplification. This allows a large buildup of compaction debt and read
amplification.
Resolves#5415.
Requires #10402.
## Summary of changes
Delay layer flushes based on the number of level 0 delta layers:
* `l0_flush_delay_threshold`: delay flushes such that they take 2x as
long (default `2 * compaction_threshold`).
* `l0_flush_stall_threshold`: stall flushes until level 0 delta layers
drop below threshold (default `4 * compaction_threshold`).
If either threshold is reached, ephemeral layer rolls also synchronously
wait for layer flushes to propagate this backpressure up into WAL
ingestion. This will bound the number of frozen layers to 1 once
backpressure kicks in, since all other frozen layers must flush before
the rolled layer.
## Analysis
This will significantly change the compute backpressure characteristics.
Recall the three compute backpressure knobs:
* `max_replication_write_lag`: 500 MB (based on Pageserver
`last_received_lsn`).
* `max_replication_flush_lag`: 10 GB (based on Pageserver
`disk_consistent_lsn`).
* `max_replication_apply_lag`: disabled (based on Pageserver
`remote_consistent_lsn`).
Previously, the Pageserver would keep ingesting WAL and build up
ephemeral layers and L0 layers until the compute hit
`max_replication_flush_lag` at 10 GB and began backpressuring. Now, once
we delay/stall WAL ingestion, the compute will begin backpressuring
after `max_replication_write_lag`, i.e. 500 MB. This is probably a good
thing (we're not building up a ton of compaction debt), but we should
consider tuning these settings.
`max_replication_flush_lag` probably doesn't serve a purpose anymore,
and we should consider removing it.
Furthermore, the removal of the upload barrier in #10402 will mean that
we no longer backpressure flushes based on S3 uploads, since
`max_replication_apply_lag` is disabled. We should consider enabling
this as well.
### When and what do we compact?
Default compaction settings:
* `compaction_threshold`: 10 L0 delta layers.
* `compaction_period`: 20 seconds (between each compaction loop check).
* `checkpoint_distance`: 256 MB (size of L0 delta layers).
* `l0_flush_delay_threshold`: 20 L0 delta layers.
* `l0_flush_stall_threshold`: 40 L0 delta layers.
Compaction characteristics:
* Minimum compaction volume: 10 layers * 256 MB = 2.5 GB.
* Additional compaction volume (assuming 128 MB/s WAL): 128 MB/s * 20
seconds = 2.5 GB (10 L0 layers).
* Required compaction bandwidth: 5.0 GB / 20 seconds = 256 MB/s.
### When do we hit `max_replication_write_lag`?
Depending on how fast compaction and flushes happens, the compute will
backpressure somewhere between `l0_flush_delay_threshold` or
`l0_flush_stall_threshold` + `max_replication_write_lag`.
* Minimum compute backpressure lag: 20 layers * 256 MB + 500 MB = 5.6 GB
* Maximum compute backpressure lag: 40 layers * 256 MB + 500 MB = 10.0
GB
This seems like a reasonable range to me.
This reapplies #10135. Just removing this flush backpressure without
further mitigations caused read amp increases during bulk ingestion
(predictably), so it was reverted. We will replace it by
compaction-based backpressure.
## Problem
In #8550, we made the flush loop wait for uploads after every layer.
This was to avoid unbounded buildup of uploads, and to reduce compaction
debt. However, the approach has several problems:
* It prevents upload parallelism.
* It prevents flush and upload pipelining.
* It slows down ingestion even when there is no need to backpressure.
* It does not directly backpressure based on compaction debt and read
amplification.
We will instead implement compaction-based backpressure in a PR
immediately following this removal (#5415).
Touches #5415.
Touches #10095.
## Summary of changes
Remove waiting on the upload queue in the flush loop.
## Problem
If gc-compaction decides to rewrite an image layer, it will now cause
index_part to lose reference to that layer. In details,
* Assume there's only one image layer of key 0000...AAAA at LSN 0x100
and generation 0xA in the system.
* gc-compaction kicks in at gc-horizon 0x100, and then produce
0000...AAAA at LSN 0x100 and generation 0xB.
* It submits a compaction result update into the index part that unlinks
0000-AAAA-100-A and adds 0000-AAAA-100-B
On the remote storage / local disk side, this is fine -- it unlinks
things correctly and uploads the new file. However, the
`index_part.json` itself doesn't record generations. The buggy procedure
is as follows:
1. upload the new file
2. update the index part to remove the old file and add the new file
3. remove the new file
Therefore, the correct update result process for gc-compaction should be
as follows:
* When modifying the layer map, delete the old one and upload the new
one.
* When updating the index, uploading the new one in the index without
deleting the old one.
## Summary of changes
* Modify `finish_gc_compaction` to correctly order insertions and
deletions.
* Update the way gc-compaction uploads the layer files.
* Add new tests.
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
We've finally transitioned to using a separate `release-compute` branch.
Now, we can finally automatically create release PRs on Fri and release
them during the following week.
Part of neondatabase/cloud#11698
Sometimes, especially when the host running the tests is overloaded, we
can run into reconcile timeouts in
`test_timeline_ancestor_detach_idempotent_success`, making the test
flaky. By increasing the timeouts from 30 seconds to 120 seconds, we can
address the flakiness.
Fixes#10464
## Problem
Currently, the report does not contain the LFC state of the failed
tests.
## Summary of changes
Added the LFC state to the link to the allure report.
---------
Co-authored-by: Alexander Bayandin <alexander@neon.tech>
Drop logical replication subscribers
before compute starts on a non-main branch.
Add new compute_ctl spec flag: drop_subscriptions_before_start
If it is set, drop all the subscriptions from the compute node
before it starts.
To avoid race on compute start, use new GUC
neon.disable_logical_replication_subscribers
to temporarily disable logical replication workers until we drop the
subscriptions.
Ensure that we drop subscriptions exactly once when endpoint starts on a
new branch.
It is essential, because otherwise, we may drop not only inherited, but
newly created subscriptions.
We cannot rely only on spec.drop_subscriptions_before_start flag,
because if for some reason compute restarts inside VM,
it will start again with the same spec and flag value.
To handle this, we save the fact of the operation in the database
in the neon.drop_subscriptions_done table.
If the table does not exist, we assume that the operation was never
performed, so we must do it.
If table exists, we check if the operation was performed on the current
timeline.
fixes: https://github.com/neondatabase/neon/issues/8790
## Problem
Not really a bug fix, but hopefully can reproduce
https://github.com/neondatabase/neon/issues/10482 more.
If the layer map does not contain layers that end at exactly the end
range of the compaction job, the current split algorithm will produce
the last job that ends at the maximum layer key. This patch extends it
all the way to the compaction job end key.
For example, the user requests a compaction of 0000...FFFF. However, we
only have a layer 0000..3000 in the layer map, and the split job will
have a range of 0000..3000 instead of 0000..FFFF.
This is not a correctness issue but it would be better to fix it so that
we can get consistent job splits.
## Summary of changes
Compaction job split will always cover the full specified key range.
Signed-off-by: Alex Chi Z <chi@neon.tech>
## Problem
PR #10457 was supposed to fix the flakiness of
`test_scrubber_physical_gc_ancestors`, but instead it made it even more
flaky. However, the original error causes disappeared, now to be
replaced by key not found errors.
See this for a longer explanation:
https://github.com/neondatabase/neon/issues/10391#issuecomment-2608018967
## Solution
This does one churn rows after all compactions, and before we do any
timeline gc's. That way, we remain more accessible at older lsn's.
## Problem
The trust connection to the compute required for `pg_anon` was removed.
However, the PGPASSWORD environment variable was not added to
`docker-compose.yml`.
This caused connection errors, which were interpreted as success due to
errors in the bash script.
## Summary of changes
The environment variable was added, and the logic in the bash script was
fixed.
## Problem
https://github.com/neondatabase/neon/actions/runs/12896686483/job/35961290336#step:5:107
showed that `promote-images-prod` was missing another dependency.
## Summary of changes
Modify `promote-images-prod` to tag based on docker-hub images, so that
`promote-images-prod` does not rely on `promote-images-dev`. The result
should be the exact same, but allows the two jobs to run in parallel.
## Refs
- Epic: https://github.com/neondatabase/neon/issues/9378
Co-authored-by: Vlad Lazar <vlad@neon.tech>
Co-authored-by: Christian Schwarz <christian@neon.tech>
## Problem
The read path does its IOs sequentially.
This means that if N values need to be read to reconstruct a page,
we will do N IOs and getpage latency is `O(N*IoLatency)`.
## Solution
With this PR we gain the ability to issue IO concurrently within one
layer visit **and** to move on to the next layer without waiting for IOs
from the previous visit to complete.
This is an evolved version of the work done at the Lisbon hackathon,
cf https://github.com/neondatabase/neon/pull/9002.
## Design
### `will_init` now sourced from disk btree index keys
On the algorithmic level, the only change is that the
`get_values_reconstruct_data`
now sources `will_init` from the disk btree index key (which is
PS-page_cache'd), instead
of from the `Value`, which is only available after the IO completes.
### Concurrent IOs, Submission & Completion
To separate IO submission from waiting for its completion, while
simultaneously
feature-gating the change, we introduce the notion of an `IoConcurrency`
struct
through which IO futures are "spawned".
An IO is an opaque future, and waiting for completions is handled
through
`tokio::sync::oneshot` channels.
The oneshot Receiver's take the place of the `img` and `records` fields
inside `VectoredValueReconstructState`.
When we're done visiting all the layers and submitting all the IOs along
the way
we concurrently `collect_pending_ios` for each value, which means
for each value there is a future that awaits all the oneshot receivers
and then calls into walredo to reconstruct the page image.
Walredo is now invoked concurrently for each value instead of
sequentially.
Walredo itself remains unchanged.
The spawned IO futures are driven to completion by a sidecar tokio task
that
is separate from the task that performs all the layer visiting and
spawning of IOs.
That tasks receives the IO futures via an unbounded mpsc channel and
drives them to completion inside a `FuturedUnordered`.
(The behavior from before this PR is available through
`IoConcurrency::Sequential`,
which awaits the IO futures in place, without "spawning" or "submitting"
them
anywhere.)
#### Alternatives Explored
A few words on the rationale behind having a sidecar *task* and what
alternatives were considered.
One option is to queue up all IO futures in a FuturesUnordered that is
polled
the first time when we `collect_pending_ios`.
Firstly, the IO futures are opaque, compiler-generated futures that need
to be polled at least once to submit their IO. "At least once" because
tokio-epoll-uring may not be able to submit the IO to the kernel on
first
poll right away.
Second, there are deadlocks if we don't drive the IO futures to
completion
independently of the spawning task.
The reason is that both the IO futures and the spawning task may hold
some
_and_ try to acquire _more_ shared limited resources.
For example, both spawning task and IO future may try to acquire
* a VirtualFile file descriptor cache slot async mutex (observed during
impl)
* a tokio-epoll-uring submission slot (observed during impl)
* a PageCache slot (currently this is not the case but we may move more
code into the IO futures in the future)
Another option is to spawn a short-lived `tokio::task` for each IO
future.
We implemented and benchmarked it during development, but found little
throughput improvement and moderate mean & tail latency degradation.
Concerns about pressure on the tokio scheduler made us discard this
variant.
The sidecar task could be obsoleted if the IOs were not arbitrary code
but a well-defined struct.
However,
1. the opaque futures approach taken in this PR allows leaving the
existing
code unchanged, which
2. allows us to implement the `IoConcurrency::Sequential` mode for
feature-gating
the change.
Once the new mode sidecar task implementation is rolled out everywhere,
and `::Sequential` removed, we can think about a descriptive submission
& completion interface.
The problems around deadlocks pointed out earlier will need to be solved
then.
For example, we could eliminate VirtualFile file descriptor cache and
tokio-epoll-uring slots.
The latter has been drafted in
https://github.com/neondatabase/tokio-epoll-uring/pull/63.
See the lengthy doc comment on `spawn_io()` for more details.
### Error handling
There are two error classes during reconstruct data retrieval:
* traversal errors: index lookup, move to next layer, and the like
* value read IO errors
A traversal error fails the entire get_vectored request, as before this
PR.
A value read error only fails that value.
In any case, we preserve the existing behavior that once
`get_vectored` returns, all IOs are done. Panics and failing
to poll `get_vectored` to completion will leave the IOs dangling,
which is safe but shouldn't happen, and so, a rate-limited
log statement will be emitted at warning level.
There is a doc comment on `collect_pending_ios` giving more code-level
details and rationale.
### Feature Gating
The new behavior is opt-in via pageserver config.
The `Sequential` mode is the default.
The only significant change in `Sequential` mode compared to before
this PR is the buffering of results in the `oneshot`s.
## Code-Level Changes
Prep work:
* Make `GateGuard` clonable.
Core Feature:
* Traversal code: track `will_init` in `BlobMeta` and source it from
the Delta/Image/InMemory layer index, instead of determining `will_init`
after we've read the value. This avoids having to read the value to
determine whether traversal can stop.
* Introduce `IoConcurrency` & its sidecar task.
* `IoConcurrency` is the clonable handle.
* It connects to the sidecar task via an `mpsc`.
* Plumb through `IoConcurrency` from high level code to the
individual layer implementations' `get_values_reconstruct_data`.
We piggy-back on the `ValuesReconstructState` for this.
* The sidecar task should be long-lived, so, `IoConcurrency` needs
to be rooted up "high" in the call stack.
* Roots as of this PR:
* `page_service`: outside of pagestream loop
* `create_image_layers`: when it is called
* `basebackup`(only auxfiles + replorigin + SLRU segments)
* Code with no roots that uses `IoConcurrency::sequential`
* any `Timeline::get` call
* `collect_keyspace` is a good example
* follow-up: https://github.com/neondatabase/neon/issues/10460
* `TimelineAdaptor` code used by the compaction simulator, unused in
practive
* `ingest_xlog_dbase_create`
* Transform Delta/Image/InMemoryLayer to
* do their values IO in a distinct `async {}` block
* extend the residence of the Delta/Image layer until the IO is done
* buffer their results in a `oneshot` channel instead of straight
in `ValuesReconstructState`
* the `oneshot` channel is wrapped in `OnDiskValueIo` /
`OnDiskValueIoWaiter`
types that aid in expressiveness and are used to keep track of
in-flight IOs so we can print warnings if we leave them dangling.
* Change `ValuesReconstructState` to hold the receiving end of the
`oneshot` channel aka `OnDiskValueIoWaiter`.
* Change `get_vectored_impl` to `collect_pending_ios` and issue walredo
concurrently, in a `FuturesUnordered`.
Testing / Benchmarking:
* Support queue-depth in pagebench for manual benchmarkinng.
* Add test suite support for setting concurrency mode ps config
field via a) an env var and b) via NeonEnvBuilder.
* Hacky helper to have sidecar-based IoConcurrency in tests.
This will be cleaned up later.
More benchmarking will happen post-merge in nightly benchmarks, plus in
staging/pre-prod.
Some intermediate helpers for manual benchmarking have been preserved in
https://github.com/neondatabase/neon/pull/10466 and will be landed in
later PRs.
(L0 layer stack generator!)
Drive-By:
* test suite actually didn't enable batching by default because
`config.compatibility_neon_binpath` is always Truthy in our CI
environment
=> https://neondb.slack.com/archives/C059ZC138NR/p1737490501941309
* initial logical size calculation wasn't always polled to completion,
which was
surfaced through the added WARN logs emitted when dropping a
`ValuesReconstructState` that still has inflight IOs.
* remove the timing histograms
`pageserver_getpage_get_reconstruct_data_seconds`
and `pageserver_getpage_reconstruct_seconds` because with planning,
value read
IO, and walredo happening concurrently, one can no longer attribute
latency
to any one of them; we'll revisit this when Vlad's work on
tracing/sampling
through RequestContext lands.
* remove code related to `get_cached_lsn()`.
The logic around this has been dead at runtime for a long time,
ever since the removal of the materialized page cache in #8105.
## Testing
Unit tests use the sidecar task by default and run both modes in CI.
Python regression tests and benchmarks also use the sidecar task by
default.
We'll test more in staging and possibly preprod.
# Future Work
Please refer to the parent epic for the full plan.
The next step will be to fold the plumbing of IoConcurrency
into RequestContext so that the function signatures get cleaned up.
Once `Sequential` isn't used anymore, we can take the next
big leap which is replacing the opaque IOs with structs
that have well-defined semantics.
---------
Co-authored-by: Christian Schwarz <christian@neon.tech>
## Problem
Both these versions are binary compatible, but the way pgvector
structures the SQL files forbids installing 0.7.4 if you have a 0.8.0
distribution. Yet, some users may need a previous version for backward
compatibility, e.g., restoring the dump.
See this thread for discussion
https://neondb.slack.com/archives/C04DGM6SMTM/p1735911490242919?thread_ts=1731343604.259169&cid=C04DGM6SMTM
## Summary of changes
Put `vector--0.7.4.sql` file into compute image to allow installing this
version as well.
Tested on staging and it seems to be working as expected:
```sql
select * from pg_available_extensions where name = 'vector';
name | default_version | installed_version | comment
--------+-----------------+-------------------+------------------------------------------------------
vector | 0.8.0 | (null) | vector data type and ivfflat and hnsw access methods
create extension vector version '0.7.4';
select * from pg_available_extensions where name = 'vector';
name | default_version | installed_version | comment
--------+-----------------+-------------------+------------------------------------------------------
vector | 0.8.0 | 0.7.4 | vector data type and ivfflat and hnsw access methods
alter extension vector update;
select * from pg_available_extensions where name = 'vector';
name | default_version | installed_version | comment
--------+-----------------+-------------------+------------------------------------------------------
vector | 0.8.0 | 0.8.0 | vector data type and ivfflat and hnsw access methods
drop extension vector;
create extension vector;
select * from pg_available_extensions where name = 'vector';
name | default_version | installed_version | comment
--------+-----------------+-------------------+------------------------------------------------------
vector | 0.8.0 | 0.8.0 | vector data type and ivfflat and hnsw access methods
```
If we find out it's a good approach, we can adopt the same for other
extensions with a stable ABI -- support both `current` and `current - 1`
releases.
# Refs
- extracted from https://github.com/neondatabase/neon/pull/9353
# Problem
Before this PR, when task_mgr shutdown is signalled, e.g. during
pageserver shutdown or Tenant shutdown, initial logical size calculation
stops polling and drops the future that represents the calculation.
This is against the current policy that we poll all futures to
completion.
This became apparent during development of concurrent IO which warns if
we drop a `Timeline::get_vectored` future that still has in-flight IOs.
We may revise the policy in the future, but, right now initial logical
size calculation is the only part of the codebase that doesn't adhere to
the policy, so let's fix it.
## Code Changes
- make sensitive exclusively to `Timeline::cancel`
- This should be sufficient for all cases of shutdowns; the sensitivity
to task_mgr shutdown is unnecessary.
- this broke the various cancel tests in `test_timeline_size.py`, e.g.,
`test_timeline_initial_logical_size_calculation_cancellation`
- the tests would time out because the await point was not sensitive to
cancellation
- to fix this, refactor `pausable_failpoint` so that it accepts a
cancellation token
- side note: we _really_ should write our own failpoint library; maybe
after we get heap-allocated RequestContext, we can plumb failpoints
through there.
## Problem
PR #9993 was supposed to enable `page_service_pipelining` by default for
all `NeonEnv`s, but this was ineffective in our CI environment.
Thus, CI Python-based tests and benchmarks, unless explicitly
configuring pipelining, were still using serial protocol handling.
## Analysis
The root cause was that in our CI environment,
`config.compatibility_neon_binpath` is always Truthy.
It's not in local environments, which is why this slipped through in
local testing.
Lesson: always add a log line ot pageserver startup and spot-check tests
to ensure the intended default is picked up.
## Summary of changes
Fix it. Since enough time has passed, the compatiblity snapshot contains
a recent enough software version so we don't need to worry about
`compatibility_neon_binpath` anymore.
## Future Work
The question how to add a new default except for compatibliity tests,
which is what the broken code was supposed to do, is still unsolved.
Slack discussion:
https://neondb.slack.com/archives/C059ZC138NR/p1737490501941309
## Problem
Currently, the layer flush loop will continue flushing layers as long as
any are pending, and only notify waiters once there are no further
layers to flush. This can cause waiters to wait longer than necessary,
and potentially starve them if pending layers keep arriving faster than
they can be flushed. The impact of this will increase when we add
compaction backpressure and propagate it up into the WAL receiver.
Extracted from #10405.
## Summary of changes
Break out of the layer flush loop once we've flushed up to the requested
LSN. If further flush requests have arrived in the meanwhile, flushing
will resume immediately after.
## Problem
For compaction backpressure, we need a mechanism to signal when
compaction has reduced the L0 delta layer count below the backpressure
threshold.
Extracted from #10405.
## Summary of changes
Add `LayerMap::watch_level0_deltas()` which returns a
`tokio::sync:⌚:Receiver` signalling the current L0 delta layer
count.
## Problem
It's sometimes useful to obtain the elapsed duration from a
`StorageTimeMetricsTimer` for purposes beyond just recording it in
metrics (e.g. to log it).
Extracted from #10405.
## Summary of changes
Add `StorageTimeMetricsTimer.elapsed()` and return the duration from
`stop_and_record()`.
## Problem
part of https://github.com/neondatabase/neon/issues/9114
The automatic trigger is already implemented at
https://github.com/neondatabase/neon/pull/10221 but I need to write some
tests and finish my experiments in staging before I can merge it with
confidence. Given that I have some other patches that will modify the
config items, I'd like to get the config items merged first to reduce
conflicts.
## Summary of changes
* add `l2_lsn` to index_part.json -- below that LSN, data have been
processed by gc-compaction
* add a set of gc-compaction auto trigger control items into the config
---------
Signed-off-by: Alex Chi Z <chi@neon.tech>
## Problem
We are removing the `pg_anon` v1 extension from Neon. So we don't need
to test it anymore and can remove the code for simplicity.
## Summary of changes
The code required for testing `pg_anon` is removed.
We did not have any tests on fast_import binary yet.
In this PR I have introduced:
- `FastImport` class and tools for testing in python
- basic test that runs fast import against vanilla postgres and checks
that data is there
Should be merged after https://github.com/neondatabase/neon/pull/10251
We currently have some flakiness in
`test_scrubber_physical_gc_ancestors`, see #10391.
The first flakiness kind is about the reconciler not actually becoming
idle within the timeout of 30 seconds. We see continuous forward
progress so this is likely not a hang. We also see this happen in
parallel to a test failure, so is likely due to runners being
overloaded. Therefore, we increase the timeout.
The second flakiness kind is an assertion failure. This one is a little
bit more tricky, but we saw in the successful run that there was some
advance of the lsn between the compaction ran (which created layer
files) and the gc run. Apparently gc rejects reductions to the single
image layer setting if the cutoff lsn is the same as the lsn of the
image layer: it will claim that that layer is newer than the space
cutoff and therefore skip it, while thinking the old layer (that we want
to delete) is the latest one (so it's not deleted).
We address the second flakiness kind by inserting a tiny amount of WAL
between the compaction and gc. This should hopefully fix things.
Related issue: #10391
(not closing it with the merger of the PR as we'll need to validate that
these changes had the intended effect).
Thanks to Chi for going over this together with me in a call.
## Problem
When releasing `release-7574`, the Github Release creation failed with
"body is too long" (see
https://github.com/neondatabase/neon/actions/runs/12834025431/job/35792346745#step:5:77).
There's lots of room for improvement of the release notes, but for now
we'll disable them instead.
## Summary of changes
- Disable automatic generation of release notes for Github releases
- Enable creation of Github releases for proxy/compute
This simplifies the code in `pageserver_physical_gc` a little bit after
the feedback in #10007 that the code is too complicated.
Most importantly, we don't pass around `GcSummary` any more in a
complicated fashion, and we save on async stream-combinator-inception in
one place in favour of `try_stream!{}`.
Follow-up of #10007
Otherwise we might hit ERRORs in otherwise safe situations (such as user
queries), which isn't a great user experience.
## Problem
https://github.com/neondatabase/neon/pull/10376
## Summary of changes
Instead of accepting internal errors as acceptable, we ensure we don't
exceed our allocated usage.
## Refs
- fixes https://github.com/neondatabase/neon/issues/10444
## Problem
We're seeing a panic `handles are only shut down once in their lifetime`
in our performance testbed.
## Hypothesis
Annotated code in
https://github.com/neondatabase/neon/issues/10444#issuecomment-2602286415.
```
T1: drop Cache, executes up to (1)
=> HandleInner is now in state ShutDown
T2: Timeline::shutdown => PerTimelineState::shutdown executes shutdown() again => panics
```
Likely this snuck in the final touches of #10386 where I narrowed down
the locking rules.
## Summary of changes
Make duplicate shutdowns a no-op.
## Summary
Whereas currently we send all WAL to all pageserver shards, and each
shard filters out the data that it needs,
in this RFC we add a mechanism to filter the WAL on the safekeeper, so
that each shard receives
only the data it needs.
This will place some extra CPU load on the safekeepers, in exchange for
reducing the network bandwidth
for ingesting WAL back to scaling as O(1) with shard count, rather than
O(N_shards).
Touches #9329.
## 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
---------
Co-authored-by: Vlad Lazar <vlalazar.vlad@gmail.com>
Co-authored-by: Vlad Lazar <vlad@neon.tech>
The other test focus on the external interface usage while the tests
added in this PR add some testing around HandleInner's lifecycle,
ensuring we don't leak it once either connection gets dropped or
per-timeline-state is shut down explicitly.
It was requested by review in #10305 to use an enum or something like it
for distinguishing the different modes instead of two parameters,
because two flags allow four combinations, and two of them don't really
make sense/ aren't used.
follow-up of #10305
Like #9931 but without rebasing upstream just yet, to try and minimise
the differences.
Removes all proxy-specific commits from the rust-postgres fork, now that
proxy no longer depends on them. Merging upstream changes to come later.
Closes#9387.
## Problem
`BufferedWriter` cannot proceed while the owned buffer is flushing to
disk. We want to implement double buffering so that the flush can happen
in the background. See #9387.
## Summary of changes
- Maintain two owned buffers in `BufferedWriter`.
- The writer is in charge of copying the data into owned, aligned
buffer, once full, submit it to the flush task.
- The flush background task is in charge of flushing the owned buffer to
disk, and returned the buffer to the writer for reuse.
- The writer and the flush background task communicate through a
bi-directional channel.
For in-memory layer, we also need to be able to read from the buffered
writer in `get_values_reconstruct_data`. To handle this case, we did the
following
- Use replace `VirtualFile::write_all` with `VirtualFile::write_all_at`,
and use `Arc` to share it between writer and background task.
- leverage `IoBufferMut::freeze` to get a cheaply clonable `IoBuffer`,
one clone will be submitted to the channel, the other clone will be
saved within the writer to serve reads. When we want to reuse the
buffer, we can invoke `IoBuffer::into_mut`, which gives us back the
mutable aligned buffer.
- InMemoryLayer reads is now aware of the maybe_flushed part of the
buffer.
**Caveat**
- We removed the owned version of write, because this interface does not
work well with buffer alignment. The result is that without direct IO
enabled,
[`download_object`](a439d57050/pageserver/src/tenant/remote_timeline_client/download.rs (L243))
does one more memcpy than before this PR due to the switch to use
`_borrowed` version of the write.
- "Bypass aligned part of write" could be implemented later to avoid
large amount of memcpy.
**Testing**
- use an oneshot channel based control mechanism to make flush behavior
deterministic in test.
- test reading from `EphemeralFile` when the last submitted buffer is
not flushed, in-progress, and done flushing to disk.
## Performance
We see performance improvement for small values, and regression on big
values, likely due to being CPU bound + disk write latency.
[Results](https://www.notion.so/neondatabase/Benchmarking-New-BufferedWriter-11-20-2024-143f189e0047805ba99acda89f984d51?pvs=4)
## 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: Yuchen Liang <yuchen@neon.tech>
Co-authored-by: Christian Schwarz <christian@neon.tech>
## Problem
We have a scale test for the storage controller which also acts as a
good stress test for scheduling stability. However, it created nodes
with no AZs set.
## Summary of changes
- Bump node count to 6 and set AZs on them.
This is a precursor to other AZ-related PRs, to make sure any new code
that's landed is getting scale tested in an AZ-aware environment.
## Problem
We practice a manual release flow for the compute module. This will
allow automation of the compute release process.
## Summary of changes
The workflow was modified to make a compute release automatically on the
branch release-compute.
## 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.
## Checklist before merging
- [ ] Do not forget to reformat commit message to not include the above
checklist
## Problem
Reqwest errors don't include details about the inner source error. This
means that we get opaque errors like:
```
receive body: error sending request for url (http://localhost:9898/v1/location_config)
```
Instead of the more helpful:
```
receive body: error sending request for url (http://localhost:9898/v1/location_config): operation timed out
```
Touches #9801.
## Summary of changes
Include the source error for `reqwest::Error` wherever it's displayed.
## Problem
When client specifies `application_name`, pgbouncer propagates it to the
Postgres. Yet, if client doesn't do it, we have hard time figuring out
who opens a lot of Postgres connections (including the `cloud_admin`
ones).
See this investigation as an example:
https://neondb.slack.com/archives/C0836R0RZ0D
## Summary of changes
I haven't found this documented, but it looks like pgbouncer accepts
standard Postgres connstring parameters in the connstring in the
`[databases]` section, so put the default `application_name=pgbouncer`
there. That way, we will always see who opens Postgres connections. I
did tests, and if client specifies a `application_name`, pgbouncer
overrides this default, so it only works if it's not specified or set to
blank `&application_name=` in the connection string.
This is the last place we could potentially open some Postgres
connections without `application_name`. Everything else should be either
of two:
1. Direct client connections without `application_name`, but these
should be strictly non-`cloud_admin` ones
2. Some ad-hoc internal connections, so if we see spikes of unidentified
`cloud_admin` connections, we will need to investigate it again.
Fixesneondatabase/cloud#20948
(stacked on #9990 and #9995)
Partially fixes#1287 with a custom option field to enable the fixed
behaviour. This allows us to gradually roll out the fix without silently
changing the observed behaviour for our customers.
related to https://github.com/neondatabase/cloud/issues/15284
## Problem
During deploys, we see a lot of 500 errors due to heapmap uploads for
inactive tenants. These should be 503s instead.
Resolves#9574.
## Summary of changes
Make the secondary tenant scheduler use `ApiError` rather than
`anyhow::Error`, to propagate the tenant error and convert it to an
appropriate status code.
## Problem
we tried different parallelism settings for ingest bench
## Summary of changes
the following settings seem optimal after merging
- SK side Wal filtering
- batched getpages
Settings:
- effective_io_concurrency 100
- concurrency limit 200 (different from Prod!)
- jobs 4, maintenance workers 7
- 10 GB chunk size
## Problem
```
2024-12-03T15:42:46.5978335Z + poetry run python /__w/neon/neon/scripts/ingest_perf_test_result.py --ingest /__w/neon/neon/test_runner/perf-report-local
2024-12-03T15:42:49.5325077Z Traceback (most recent call last):
2024-12-03T15:42:49.5325603Z File "/__w/neon/neon/scripts/ingest_perf_test_result.py", line 165, in <module>
2024-12-03T15:42:49.5326029Z main()
2024-12-03T15:42:49.5326316Z File "/__w/neon/neon/scripts/ingest_perf_test_result.py", line 155, in main
2024-12-03T15:42:49.5326739Z ingested = ingest_perf_test_result(cur, item, recorded_at_timestamp)
2024-12-03T15:42:49.5327488Z ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
2024-12-03T15:42:49.5327914Z File "/__w/neon/neon/scripts/ingest_perf_test_result.py", line 99, in ingest_perf_test_result
2024-12-03T15:42:49.5328321Z psycopg2.extras.execute_values(
2024-12-03T15:42:49.5328940Z File "/github/home/.cache/pypoetry/virtualenvs/non-package-mode-_pxWMzVK-py3.11/lib/python3.11/site-packages/psycopg2/extras.py", line 1299, in execute_values
2024-12-03T15:42:49.5335618Z cur.execute(b''.join(parts))
2024-12-03T15:42:49.5335967Z psycopg2.errors.InvalidTextRepresentation: invalid input syntax for type numeric: "concurrent-futures"
2024-12-03T15:42:49.5336287Z LINE 57: 'concurrent-futures',
2024-12-03T15:42:49.5336462Z ^
```
## Summary of changes
- `test_page_service_batching`: save non-numeric params as `labels`
- Add a runtime check that `metric_value` is NUMERIC
Before this PR, some override callbacks used `.default()`, others
used `.setdefault()`.
As of this PR, all callbacks use `.setdefault()` which I think is least
prone to failure.
Aligning on a single way will set the right example for future tests
that need such customization.
The `test_pageserver_getpage_throttle.py` technically is a change in
behavior: before, it replaced the `tenant_config` field, now it just
configures the throttle. This is what I believe is intended anyway.
Support tenant manifests in the storage scrubber:
* list the manifests, order them by generation
* delete all manifests except for the two most recent generations
* for the latest manifest: try parsing it.
I've tested this patch by running the against a staging bucket and it
successfully deleted stuff (and avoided deleting the latest two
generations).
In follow-up work, we might want to also check some invariants of the
manifest, as mentioned in #8088.
Part of #9386
Part of #8088
---------
Co-authored-by: Christian Schwarz <christian@neon.tech>
## Problem
The Pageserver signal handler would only respond to a single signal and
initiate shutdown. Subsequent signals were ignored. This meant that a
`SIGQUIT` sent after a `SIGTERM` had no effect (e.g. in the case of a
slow or stalled shutdown). The `test_runner` uses this to force shutdown
if graceful shutdown is slow.
Touches #9740.
## Summary of changes
Keep responding to signals after the initial shutdown signal has been
received.
Arguably, the `test_runner` should also use `SIGKILL` rather than
`SIGQUIT` in this case, but it seems reasonable to respond to `SIGQUIT`
regardless.
Keeping the `mock` postgres cplane adaptor using "stock" tokio-postgres
allows us to remove a lot of dead weight from our actual postgres
connection logic.
## Problem
We saw a peculiar case where a pageserver apparently got a 0-tenant
response to `/re-attach` but we couldn't see the request landing on a
storage controller. It was hard to confirm retrospectively that the
pageserver was configured properly at the moment it sent the request.
## Summary of changes
- Log the URL to which we are sending the request
- Log the NodeId and metadata that we sent
## Problem
Sharded tenants should be run in a single AZ for best performance, so
that computes have AZ-local latency to all the shards.
Part of https://github.com/neondatabase/neon/issues/8264
## Summary of changes
- When we split a tenant, instead of updating each shard's preferred AZ
to wherever it is scheduled, propagate the preferred AZ from the parent.
- Drop the check in `test_shard_preferred_azs` that asserts shards end
up in their preferred AZ: this will not be true again until the
optimize_attachment logic is updated to make this so. The existing check
wasn't testing anything about scheduling, it was just asserting that we
set preferred AZ in a way that matches the way things happen to be
scheduled at time of split.
## Problem
In the batching PR
- https://github.com/neondatabase/neon/pull/9870
I stopped deducting the time-spent-in-throttle fro latency metrics,
i.e.,
- smgr latency metrics (`SmgrOpTimer`)
- basebackup latency (+scan latency, which I think is part of
basebackup).
The reason for stopping the deduction was that with the introduction of
batching, the trick with tracking time-spent-in-throttle inside
RequestContext and swap-replacing it from the `impl Drop for
SmgrOpTimer` no longer worked with >1 requests in a batch.
However, deducting time-spent-in-throttle is desirable because our
internal latency SLO definition does not account for throttling.
## Summary of changes
- Redefine throttling to be a page_service pagestream request throttle
instead of a throttle for repository `Key` reads through `Timeline::get`
/ `Timeline::get_vectored`.
- This means reads done by `basebackup` are no longer subject to any
throttle.
- The throttle applies after batching, before handling of the request.
- Drive-by fix: make throttle sensitive to cancellation.
- Rename metric label `kind` from `timeline_get` to `pagestream` to
reflect the new scope of throttling.
To avoid config format breakage, we leave the config field named
`timeline_get_throttle` and ignore the `task_kinds` field.
This will be cleaned up in a future PR.
## Trade-Offs
Ideally, we would apply the throttle before reading a request off the
connection, so that we queue the minimal amount of work inside the
process.
However, that's not possible because we need to do shard routing.
The redefinition of the throttle to limit pagestream request rate
instead of repository `Key` rate comes with several downsides:
- We're no longer able to use the throttle mechanism for other other
tasks, e.g. image layer creation.
However, in practice, we never used that capability anyways.
- We no longer throttle basebackup.
## Problem
`test_sharded_ingest` ingests a lot of data, which can cause shutdown to
be slow e.g. due to local "S3 uploads" or compactions. This can cause
test flakes during teardown.
Resolves#9740.
## Summary of changes
Perform an immediate shutdown of the cluster.
## Problem
We don't have good observability for memory usage. This would be useful
e.g. to debug OOM incidents or optimize performance or resource usage.
We would also like to use continuous profiling with e.g. [Grafana Cloud
Profiles](https://grafana.com/products/cloud/profiles-for-continuous-profiling/)
(see https://github.com/neondatabase/cloud/issues/14888).
This PR is intended as a proof of concept, to try it out in staging and
drive further discussions about profiling more broadly.
Touches https://github.com/neondatabase/neon/issues/9534.
Touches https://github.com/neondatabase/cloud/issues/14888.
Depends on #9779.
Depends on #9780.
## Summary of changes
Adds a HTTP route `/profile/heap` that takes a heap profile and returns
it. Query parameters:
* `format`: output format (`jemalloc` or `pprof`; default `pprof`).
Unlike CPU profiles (see #9764), heap profiles are not symbolized and
require the original binary to translate addresses to function names. To
make this work with Grafana, we'll probably have to symbolize the
process server-side -- this is left as future work, as is other output
formats like SVG.
Heap profiles don't work on macOS due to limitations in jemalloc.
## Problem
The extensions for Postgres v17 are ready but we do not test the
extensions shipped with v17
## Summary of changes
Build the test image based on Postgres v17. Run the tests for v17.
---------
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
This PR
- fixes smgr metrics https://github.com/neondatabase/neon/issues/9925
- adds an additional startup log line logging the current batching
config
- adds a histogram of batch sizes global and per-tenant
- adds a metric exposing the current batching config
The issue described #9925 is that before this PR, request latency was
only observed *after* batching.
This means that smgr latency metrics (most importantly getpage latency)
don't account for
- `wait_lsn` time
- time spent waiting for batch to fill up / the executor stage to pick
up the batch.
The fix is to use a per-request batching timer, like we did before the
initial batching PR.
We funnel those timers through the entire request lifecycle.
I noticed that even before the initial batching changes, we weren't
accounting for the time spent writing & flushing the response to the
wire.
This PR drive-by fixes that deficiency by dropping the timers at the
very end of processing the batch, i.e., after the `pgb.flush()` call.
I was **unable to maintain the behavior that we deduct
time-spent-in-throttle from various latency metrics.
The reason is that we're using a *single* counter in `RequestContext` to
track micros spent in throttle.
But there are *N* metrics timers in the batch, one per request.
As a consequence, the practice of consuming the counter in the drop
handler of each timer no longer works because all but the first timer
will encounter error `close() called on closed state`.
A failed attempt to maintain the current behavior can be found in
https://github.com/neondatabase/neon/pull/9951.
So, this PR remvoes the deduction behavior from all metrics.
I started a discussion on Slack about it the implications this has for
our internal SLO calculation:
https://neondb.slack.com/archives/C033RQ5SPDH/p1732910861704029
# Refs
- fixes https://github.com/neondatabase/neon/issues/9925
- sub-issue https://github.com/neondatabase/neon/issues/9377
- epic: https://github.com/neondatabase/neon/issues/9376
Before this PR, the storcon_cli didn't have a way to show the
tenant-wide information of the TenantDescribeResponse.
Sadly, the `Serialize` impl for the tenant config doesn't skip on
`None`, so, the output becomes a bit bloated.
Maybe we can use `skip_serializing_if(Option::is_none)` in the future.
=> https://github.com/neondatabase/neon/issues/9983
## Problem
I was touching `test_storage_controller_node_deletion` because for AZ
scheduling work I was adding a change to the storage controller (kick
secondaries during optimisation) that made a FIXME in this test defunct.
While looking at it I also realized that we can easily fix the way node
deletion currently doesn't use a proper ScheduleContext, using the
iterator type recently added for that purpose.
## Summary of changes
- A testing-only behavior in storage controller where if a secondary
location isn't yet ready during optimisation, it will be actively
polled.
- Remove workaround in `test_storage_controller_node_deletion` that
previously was needed because optimisation would get stuck on cold
secondaries.
- Update node deletion code to use a `TenantShardContextIterator` and
thereby a proper ScheduleContext
## Problem
After enabling LFC in tests and lowering `shared_buffers` we started
having more problems with `test_pg_regress`.
## Summary of changes
Set `shared_buffers` to 1MB to both exercise getPage requests/LFC, and
still have enough room for Postgres to operate. Everything smaller might
be not enough for Postgres under load, and can cause errors like 'no
unpinned buffers available'.
See Konstantin's comment [1] as well.
Fixes#9956
[1]:
https://github.com/neondatabase/neon/issues/9956#issuecomment-2511608097
On reconfigure, we no longer passed a port for the extension server
which caused us to not write out the neon.extension_server_port line.
Thus, Postgres thought we were setting the port to the default value of
0. PGC_POSTMASTER GUCs cannot be set at runtime, which causes the
following log messages:
> LOG: parameter "neon.extension_server_port" cannot be changed without
restarting the server
> LOG: configuration file
"/var/db/postgres/compute/pgdata/postgresql.conf" contains errors;
unaffected changes were applied
Fixes: https://github.com/neondatabase/neon/issues/9945
Signed-off-by: Tristan Partin <tristan@neon.tech>
The spec was written for the buggy protocol which we had before the one
more similar to Raft was implemented. Update the spec with what we
currently have.
ref https://github.com/neondatabase/neon/issues/8699
## Problem
The credentials providers tries to connect to AWS STS even when we use
plain Redis connections.
## Summary of changes
* Construct the CredentialsProvider only when needed ("irsa").
## Problem
`if: ${{ github.event.schedule }}` gets skipped if a previous step has
failed, but we want to run the step for both `success` and `failure`
## Summary of changes
- Add `!cancelled()` to notification step if-condition, to skip only
cancelled jobs
Fixes https://github.com/neondatabase/cloud/issues/20973.
This refactors `connect_raw` in order to return direct access to the
delayed notices.
I cannot find a way to test this with psycopg2 unfortunately, although
testing it with psql does return the expected results.
## Problem
We can't easily tell how far the state of shards is from their AZ
preferences. This can be a cause of performance issues, so it's
important for diagnosability that we can tell easily if there are
significant numbers of shards that aren't running in their preferred AZ.
Related: https://github.com/neondatabase/cloud/issues/15413
## Summary of changes
- In reconcile_all, count shards that are scheduled into the wrong AZ
(if they have a preference), and publish it as a prometheus gauge.
- Also calculate a statistic for how many shards wanted to reconcile but
couldn't.
This is clearly a lazy calculation: reconcile all only runs
periodically. But that's okay: shards in the wrong AZ is something that
only matters if it stays that way for some period of time.
Improves `wait_until` by:
* Use `timeout` instead of `iterations`. This allows changing the
timeout/interval parameters independently.
* Make `timeout` and `interval` optional (default 20s and 0.5s). Most
callers don't care.
* Only output status every 1s by default, and add optional
`status_interval` parameter.
* Remove `show_intermediate_error`, this was always emitted anyway.
Most callers have been updated to use the defaults, except where they
had good reason otherwise.
## Problem
We saw unexpected container terminations when running in k8s with with
small CPU resource requests.
The /status and /ready handlers called `maybe_forward`, which always
takes the lock on Service::inner.
If there is a lot of writer lock contention, and the container is
starved of CPU, this increases the likelihood that we will get killed by
the kubelet.
It isn't certain that this was a cause of issues, but it is a potential
source that we can eliminate.
## Summary of changes
- Revise logic to return immediately if the URL is in the non-forwarded
list, rather than calling maybe_forward
## Problem
See https://neondb.slack.com/archives/C04DGM6SMTM/p1732110190129479
We observe the following error in the logs
```
[XX000] ERROR: [NEON_SMGR] [shard 3] Incorrect prefetch read: status=1 response=0x7fafef335138 my=128 receive=128
```
most likely caused by changing `neon.readahead_buffer_size`
## Summary of changes
1. Copy shard state
2. Do not use prefetch_set_unused in readahead_buffer_resize
3. Change prefetch buffer overflow criteria
---------
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
## Problem
Current compute images for Postgres 14-16 don't build on Debian 12
because of issues with extensions.
This PR fixes that, but for the current setup, it is mostly a no-op
change.
## Summary of changes
- Use `/bin/bash -euo pipefail` as SHELL to fail earlier
- Fix `plv8` build: backport a trivial patch for v8
- Fix `postgis` build: depend `sfgal` version on Debian version instead
of Postgres version
Tested in: https://github.com/neondatabase/neon/pull/9849
#8564
## Problem
The main and backup consumption metric pushes are completely
independent,
resulting in different event time windows and different idempotency
keys.
## Summary of changes
* Merge the push tasks, but keep chunks the same size.
# Problem
The timeout-based batching adds latency to unbatchable workloads.
We can choose a short batching timeout (e.g. 10us) but that requires
high-resolution timers, which tokio doesn't have.
I thoroughly explored options to use OS timers (see
[this](https://github.com/neondatabase/neon/pull/9822) abandoned PR).
In short, it's not an attractive option because any timer implementation
adds non-trivial overheads.
# Solution
The insight is that, in the steady state of a batchable workload, the
time we spend in `get_vectored` will be hundreds of microseconds anyway.
If we prepare the next batch concurrently to `get_vectored`, we will
have a sizeable batch ready once `get_vectored` of the current batch is
done and do not need an explicit timeout.
This can be reasonably described as **pipelining of the protocol
handler**.
# Implementation
We model the sub-protocol handler for pagestream requests
(`handle_pagrequests`) as two futures that form a pipeline:
2. Batching: read requests from the connection and fill the current
batch
3. Execution: `take` the current batch, execute it using `get_vectored`,
and send the response.
The Reading and Batching stage are connected through a new type of
channel called `spsc_fold`.
See the long comment in the `handle_pagerequests_pipelined` for details.
# Changes
- Refactor `handle_pagerequests`
- separate functions for
- reading one protocol message; produces a `BatchedFeMessage` with just
one page request in it
- batching; tried to merge an incoming `BatchedFeMessage` into an
existing `BatchedFeMessage`; returns `None` on success and returns back
the incoming message in case merging isn't possible
- execution of a batched message
- unify the timeline handle acquisition & request span construction; it
now happen in the function that reads the protocol message
- Implement serial and pipelined model
- serial: what we had before any of the batching changes
- read one protocol message
- execute protocol messages
- pipelined: the design described above
- optionality for execution of the pipeline: either via concurrent
futures vs tokio tasks
- Pageserver config
- remove batching timeout field
- add ability to configure pipelining mode
- add ability to limit max batch size for pipelined configurations
(required for the rollout, cf
https://github.com/neondatabase/cloud/issues/20620 )
- ability to configure execution mode
- Tests
- remove `batch_timeout` parametrization
- rename `test_getpage_merge_smoke` to `test_throughput`
- add parametrization to test different max batch sizes and execution
moes
- rename `test_timer_precision` to `test_latency`
- rename the test case file to `test_page_service_batching.py`
- better descriptions of what the tests actually do
## On the holding The `TimelineHandle` in the pending batch
While batching, we hold the `TimelineHandle` in the pending batch.
Therefore, the timeline will not finish shutting down while we're
batching.
This is not a problem in practice because the concurrently ongoing
`get_vectored` call will fail quickly with an error indicating that the
timeline is shutting down.
This results in the Execution stage returning a `QueryError::Shutdown`,
which causes the pipeline / entire page service connection to shut down.
This drops all references to the
`Arc<Mutex<Option<Box<BatchedFeMessage>>>>` object, thereby dropping the
contained `TimelineHandle`s.
- => fixes https://github.com/neondatabase/neon/issues/9850
# Performance
Local run of the benchmarks, results in [this empty
commit](1cf5b1463f)
in the PR branch.
Key take-aways:
* `concurrent-futures` and `tasks` deliver identical `batching_factor`
* tail latency impact unknown, cf
https://github.com/neondatabase/neon/issues/9837
* `concurrent-futures` has higher throughput than `tasks` in all
workloads (=lower `time` metric)
* In unbatchable workloads, `concurrent-futures` has 5% higher
`CPU-per-throughput` than that of `tasks`, and 15% higher than that of
`serial`.
* In batchable-32 workload, `concurrent-futures` has 8% lower
`CPU-per-throughput` than that of `tasks` (comparison to tput of
`serial` is irrelevant)
* in unbatchable workloads, mean and tail latencies of
`concurrent-futures` is practically identical to `serial`, whereas
`tasks` adds 20-30us of overhead
Overall, `concurrent-futures` seems like a slightly more attractive
choice.
# Rollout
This change is disabled-by-default.
Rollout plan:
- https://github.com/neondatabase/cloud/issues/20620
# Refs
- epic: https://github.com/neondatabase/neon/issues/9376
- this sub-task: https://github.com/neondatabase/neon/issues/9377
- the abandoned attempt to improve batching timeout resolution:
https://github.com/neondatabase/neon/pull/9820
- closes https://github.com/neondatabase/neon/issues/9850
- fixes https://github.com/neondatabase/neon/issues/9835
## Problem
It appears that the Azure storage API tends to hang TCP connections more
than S3 does.
Currently we use a 2 minute timeout for all downloads. This is large
because sometimes the objects we download are large. However, waiting 2
minutes when doing something like downloading a manifest on tenant
attach is problematic, because when someone is doing a "create tenant,
create timeline" workflow, that 2 minutes is long enough for them
reasonably to give up creating that timeline.
Rather than propagate oversized timeouts further up the stack, we should
use a different timeout for objects that we expect to be small.
Closes: https://github.com/neondatabase/neon/issues/9836
## Summary of changes
- Add a `small_timeout` configuration attribute to remote storage,
defaulting to 30 seconds (still a very generous period to do something
like download an index)
- Add a DownloadKind parameter to DownloadOpts, so that callers can
indicate whether they expect the object to be small or large.
- In the azure client, use small timeout for HEAD requests, and for GET
requests if DownloadKind::Small is used.
- Use DownloadKind::Small for manifests, indices, and heatmap downloads.
This PR intentionally does not make the equivalent change to the S3
client, to reduce blast radius in case this has unexpected consequences
(we could accomplish the same thing by editing lots of configs, but just
skipping the code is simpler for right now)
## Problem
It was not always possible to judge what exactly some `cloud_admin`
connections were doing because we didn't consistently set
`application_name` everywhere.
## Summary of changes
Unify the way we connect to Postgres:
1. Switch to building configs everywhere
2. Always set `application_name` and make naming consistent
Follow-up for #9919
Part of neondatabase/cloud#20948
## Problem
To add Safekeeper heap profiling in #9778, we need to switch to an
allocator that supports it. Pageserver and proxy already use jemalloc.
Touches #9534.
## Summary of changes
Use jemalloc in Safekeeper.
## Problem
When picking locations for a shard, we should use a ScheduleContext that
includes all the other shards in the tenant, so that we apply proper
anti-affinity between shards. If we don't do this, then it can lead to
unstable scheduling, where we place a shard somewhere that the optimizer
will then immediately move it away from.
We didn't always do this, because it was a bit awkward to accumulate the
context for a tenant rather than just walking tenants.
This was a TODO in `handle_node_availability_transition`:
```
// TODO: populate a ScheduleContext including all shards in the same tenant_id (only matters
// for tenants without secondary locations: if they have a secondary location, then this
// schedule() call is just promoting an existing secondary)
```
This is a precursor to https://github.com/neondatabase/neon/issues/8264,
where the current imperfect scheduling during node evacuation hampers
testing.
## Summary of changes
- Add an iterator type that yields each shard along with a
schedulecontext that includes all the other shards from the same tenant
- Use the iterator to replace hand-crafted logic in optimize_all_plan
(functionally identical)
- Use the iterator in `handle_node_availability_transition` to apply
proper anti-affinity during node evacuation.
Our rust-postgres fork is getting messy. Mostly because proxy wants more
control over the raw protocol than tokio-postgres provides. As such,
it's diverging more and more. Storage and compute also make use of
rust-postgres, but in more normal usage, thus they don't need our crazy
changes.
Idea:
* proxy maintains their subset
* other teams use a minimal patch set against upstream rust-postgres
Reviewing this code will be difficult. To implement it, I
1. Copied tokio-postgres, postgres-protocol and postgres-types from
00940fcdb5
2. Updated their package names with the `2` suffix to make them compile
in the workspace.
3. Updated proxy to use those packages
4. Copied in the code from tokio-postgres-rustls 0.13 (with some patches
applied https://github.com/jbg/tokio-postgres-rustls/pull/32https://github.com/jbg/tokio-postgres-rustls/pull/33)
5. Removed as much dead code as I could find in the vendored libraries
6. Updated the tokio-postgres-rustls code to use our existing channel
binding implementation
Adds a benchmark for logical message WAL ingestion throughput
end-to-end. Logical messages are essentially noops, and thus ignored by
the Pageserver.
Example results from my MacBook, with fsync enabled:
```
postgres_ingest: 14.445 s
safekeeper_ingest: 29.948 s
pageserver_ingest: 30.013 s
pageserver_recover_ingest: 8.633 s
wal_written: 10,340 MB
message_count: 1310720 messages
postgres_throughput: 715 MB/s
safekeeper_throughput: 345 MB/s
pageserver_throughput: 344 MB/s
pageserver_recover_throughput: 1197 MB/s
```
See
https://github.com/neondatabase/neon/issues/9642#issuecomment-2475995205
for running analysis.
Touches #9642.
## Problem
We used `set_path()` to replace the database name in the connection
string. It automatically does url-safe encoding if the path is not
already encoded, but it does it as per the URL standard, which assumes
that tabs can be safely removed from the path without changing the
meaning of the URL. See, e.g.,
https://url.spec.whatwg.org/#concept-basic-url-parser. It also breaks
for DBs with properly %-encoded names, like with `%20`, as they are kept
intact, but actually should be escaped.
Yet, this is not true for Postgres, where it's completely valid to have
trailing tabs in the database name.
I think this is the PR that caused this regression
https://github.com/neondatabase/neon/pull/9717, as it switched from
`postgres::config::Config` back to `set_path()`.
This was fixed a while ago already [1], btw, I just haven't added a test
to catch this regression back then :(
## Summary of changes
This commit changes the code back to use
`postgres/tokio_postgres::Config` everywhere.
While on it, also do some changes around, as I had to touch this code:
1. Bump some logging from `debug` to `info` in the spec apply path. We
do not use `debug` in prod, and it was tricky to understand what was
going on with this bug in prod.
2. Refactor configuration concurrency calculation code so it was
reusable. Yet, still keep `1` in the case of reconfiguration. The
database can be actively used at this moment, so we cannot guarantee
that there will be enough spare connection slots, and the underlying
code won't handle connection errors properly.
3. Simplify the installed extensions code. It was spawning a blocking
task inside async function, which doesn't make much sense. Instead, just
have a main sync function and call it with `spawn_blocking` in the API
code -- the only place we need it to be async.
4. Add regression python test to cover this and related problems in the
future. Also, add more extensive testing of schema dump and DBs and
roles listing API.
[1]:
4d1e48f3b9
[2]:
https://www.postgresql.org/message-id/flat/20151023003445.931.91267%40wrigleys.postgresql.orgResolvesneondatabase/cloud#20869
## Problem
Currently, we rerun only known flaky tests. This approach was chosen to
reduce the number of tests that go unnoticed (by forcing people to take
a look at failed tests and rerun the job manually), but it has some
drawbacks:
- In PRs, people tend to push new changes without checking failed tests
(that's ok)
- In the main, tests are just restarted without checking
(understandable)
- Parametrised tests become flaky one by one, i.e. if `test[1]` is flaky
`, test[2]` is not marked as flaky automatically (which may or may not
be the case).
I suggest rerunning all failed tests to increase the stability of GitHub
jobs and using the Grafana Dashboard with flaky tests for deeper
analysis.
## Summary of changes
- Rerun all failed tests twice at max
## Problem
For the interpreted proto the pageserver is not returning the correct
LSN
in replies to keep alive requests. This is because the interpreted
protocol arm
was not updating `last_rec_lsn`.
## Summary of changes
* Return correct LSN in keep-alive responses
* Fix shard field in wal sender traces
We keep the practice of keeping the compiler up to date, pointing to the
latest release. This is done by many other projects in the Rust
ecosystem as well.
[Release notes](https://releases.rs/docs/1.83.0/).
Also update `cargo-hakari`, `cargo-deny`, `cargo-hack` and
`cargo-nextest` to their latest versions.
Prior update was in #9445.
## Problem
We currently see elevated levels of errors for GetBlob requests. This is
because 404 and 304 are counted as errors for metric reporting.
## Summary of Changes
Bring the implementation in line with the S3 client and treat 404 and
304 responses as ok for metric purposes.
Related: https://github.com/neondatabase/cloud/issues/20666
## Problem
For cancellation, a connection is open during all the cancel checks.
## Summary of changes
Spawn cancellation checks in the background, and close connection
immediately.
Use task_tracker for cancellation checks.
## Problem
possible for the database connections to not close in time.
## Summary of changes
force the closing of connections if the client has hung up
## Problem
In a recent refactor, we accidentally dropped the cancel session early
## Summary of changes
Hold the cancel session during proxy passthrough
## Problem
Not really a problem, just refactoring.
## Summary of changes
Separate authenticate from wake compute.
Do not call wake compute second time if we managed to connect to
postgres or if we got it not from cache.
## Problem
hard to see where time is taken during HTTP flow.
## Summary of changes
add a lot more for query state. add a conn_id field to the sql-over-http
span
## Problem
`tokio::io::copy_bidirectional` doesn't close the connection once one of
the sides closes it. It's not really suitable for the postgres protocol.
## Summary of changes
Fork `copy_bidirectional` and initiate a shutdown for both connections.
---------
Co-authored-by: Conrad Ludgate <conradludgate@gmail.com>
There is currently no cleanup done after a delta layer creation error,
so delta layers can accumulate. The problem gets worse as the operation
gets retried and delta layers accumulate on the disk. Therefore, delete
them from disk (if something has been written to disk).
## Problem
When a tenant is in Attaching state, and waiting for the
`concurrent_tenant_warmup` semaphore, it also listens for the tenant
cancellation token. When that token fires, Tenant::attach drops out.
Meanwhile, Tenant::set_stopping waits forever for the tenant to exit
Attaching state.
Fixes: https://github.com/neondatabase/neon/issues/6423
## Summary of changes
- In the absence of a valid state for the tenant, it is set to Broken in
this path. A more elegant solution will require more refactoring, beyond
this minimal fix.
(cherry picked from commit 93572a3e99)
Before this patch, the select! still retured immediately if `futs` was
empty. Must have tested a stale build in my manual testing of #6388.
(cherry picked from commit 15c0df4de7)
To exercise MAX_SEND_SIZE sending from safekeeper; we've had a bug with WAL
records torn across several XLogData messages. Add failpoint to safekeeper to
slow down sending. Also check for corrupted WAL complains in standby log.
Make the test a bit simpler in passing, e.g. we don't need explicit commits as
autocommit is enabled by default.
https://neondb.slack.com/archives/C05L7D1JAUS/p1703774799114719https://github.com/neondatabase/cloud/issues/9057
Otherwise they are left orphaned when compute_ctl is terminated with a
signal. It was invisible most of the time because normally neon_local or k8s
kills postgres directly and then compute_ctl finishes gracefully. However, in
some tests compute_ctl gets stuck waiting for sync-safekeepers which
intentionally never ends because safekeepers are offline, and we want to stop
compute_ctl without leaving orphanes behind.
This is a quite rough approach which doesn't wait for children termination. A
better way would be to convert compute_ctl to async which would make waiting
easy.
Release 2023-12-19
We need to do a config change that requires restarting the pageservers.
Slip in two metrics-related commits that didn't make this week's regularly release.
Pre-merge `git merge --squash` of
https://github.com/neondatabase/neon/pull/6115
Lowering the tracing level in get_value_reconstruct_data and
get_or_maybe_download from info to debug reduces the overhead
of span creation in non-debug environments.
## Problem
#6112 added some logs and metrics: clean these up a bit:
- Avoid counting startup completions for tenants launched after startup
- exclude no-op cases from timing histograms
- remove a rogue log messages
Error indicating request cancellation OR timeline shutdown was deemed as
a reason to exit the background worker that calculated synthetic size.
Fix it to only be considered for avoiding logging such of such errors.
This conflicted on tenant_shard_id having already replaced tenant_id on
`main`.
```
could not start the compute node: compute is in state "failed": db error: ERROR: could not access file "$libdir/timescaledb-2.10.1": No such file or directory Caused by: ERROR: could not access file "$libdir/timescaledb-2.10.1": No such file or directory
```
Only applicable change was neondatabase/autoscaling#584, setting
pgbouncer auth_dbname=postgres in order to fix superuser connections
from preventing dropping databases.
Only applicable change was neondatabase/autoscaling#571, removing the
postgres_exporter flags `--auto-discover-databases` and
`--exclude-databases=...`
## Problem
Logical replication requires new AUX_FILES_KEY which is definitely
absent in existed database.
We do not have function to check if key exists in our KV storage.
So I have to handle the error in `list_aux_files` method.
But this key is also included in key space range and accessed y
`create_image_layer` method.
## Summary of changes
Check if AUX_FILES_KEY exists before including it in keyspace.
---------
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
Co-authored-by: Shany Pozin <shany@neon.tech>
Co-authored-by: Arpad Müller <arpad-m@users.noreply.github.com>
Fixes an issue we observed on staging that happens when the
autoscaler-agent attempts to immediately downscale the VM after binding,
which is typical for pooled computes.
The issue was occurring because the autoscaler-agent was requesting
downscaling before the vm-monitor had gathered sufficient cgroup memory
stats to be confident in approving it. When the vm-monitor returned an
internal error instead of denying downscaling, the autoscaler-agent
retried the connection and immediately hit the same issue (in part
because cgroup stats are collected per-connection, rather than
globally).
There's currently an issue with the vm-monitor on staging that's not
really feasible to debug because the current display impl gives no
context to the errors (just says "failed to downscale").
Logging the full error should help.
For communications with the autoscaler-agent, it's ok to only provide
the outermost cause, because we can cross-reference with the VM logs.
At some point in the future, we may want to change that.
tl;dr it's really hard to avoid throttling from memory.high, and it
counts tmpfs & page cache usage, so it's also hard to make sense of.
In the interest of fixing things quickly with something that should be
*good enough*, this PR switches to instead periodically fetch memory
statistics from the cgroup's memory.stat and use that data to determine
if and when we should upscale.
This PR fixes#5444, which has a lot more detail on the difficulties
we've hit with memory.high. This PR also supersedes #5488.
Before this PR, when we restarted pageserver, we'd see a rush of
`$number_of_tenants` concurrent eviction tasks starting to do imitate
accesses building up in the period of `[init_order allows activations,
$random_access_delay + EvictionPolicyLayerAccessThreshold::period]`.
We simply cannot handle that degree of concurrent IO.
We already solved the problem for compactions by adding a semaphore.
So, this PR shares that semaphore for use by evictions.
Part of https://github.com/neondatabase/neon/issues/5479
Which is again part of https://github.com/neondatabase/neon/issues/4743
Risks / Changes In System Behavior
==================================
* we don't do evictions as timely as we currently do
* we log a bunch of warnings about eviction taking too long
* imitate accesses and compactions compete for the same concurrency
limit, so, they'll slow each other down through this shares semaphore
Changes
=======
- Move the `CONCURRENT_COMPACTIONS` semaphore into `tasks.rs`
- Rename it to `CONCURRENT_BACKGROUND_TASKS`
- Use it also for the eviction imitate accesses:
- Imitate acceses are both per-TIMELINE and per-TENANT
- The per-TENANT is done through coalescing all the per-TIMELINE
tasks via a tokio mutex `eviction_task_tenant_state`.
- We acquire the CONCURRENT_BACKGROUND_TASKS permit early, at the
beginning of the eviction iteration, much before the imitate
acesses start (and they may not even start at all in the given
iteration, as they happen only every $threshold).
- Acquiring early is **sub-optimal** because when the per-timline
tasks coalesce on the `eviction_task_tenant_state` mutex,
they are already holding a CONCURRENT_BACKGROUND_TASKS permit.
- It's also unfair because tenants with many timelines win
the CONCURRENT_BACKGROUND_TASKS more often.
- I don't think there's another way though, without refactoring
more of the imitate accesses logic, e.g, making it all per-tenant.
- Add metrics for queue depth behind the semaphore.
I found these very useful to understand what work is queued in the
system.
- The metrics are tagged by the new `BackgroundLoopKind`.
- On a green slate, I would have used `TaskKind`, but we already had
pre-existing labels whose names didn't map exactly to task kind.
Also the task kind is kind of a lower-level detail, so, I think
it's fine to have a separate enum to identify background work kinds.
Future Work
===========
I guess I could move the eviction tasks from a ticker to "sleep for
$period".
The benefit would be that the semaphore automatically "smears" the
eviction task scheduling over time, so, we only have the rush on restart
but a smeared-out rush afterward.
The downside is that this perverts the meaning of "$period", as we'd
actually not run the eviction at a fixed period. It also means the the
"took to long" warning & metric becomes meaningless.
Then again, that is already the case for the compaction and gc tasks,
which do sleep for `$period` instead of using a ticker.
(cherry picked from commit 9256788273)
## Problem
Folks have re-taged releases for `pg_jsonschema` and `pg_graphql` (to
increase timeouts on their CI), for us, these are a noop changes,
but unfortunately, this will cause our builds to fail due to checksums
mismatch (this might not strike right away because of the build cache).
- 8ba7c7be9d
- aa7509370a
## Summary of changes
- `pg_jsonschema` update checksum
- `pg_graphql` update checksum
When you log more than a few blocks, you need to reserve the space in
advance. We didn't do that, so we got errors. Now we do that, and
shouldn't get errors.
## Problem
See https://neondb.slack.com/archives/C05L7D1JAUS/p1694614585955029https://www.notion.so/neondatabase/Duplicate-key-issue-651627ce843c45188fbdcb2d30fd2178
## Summary of changes
Swap old/new block references
## 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
---------
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
The sequence that can lead to a deadlock:
1. DELETE request gets all the way to `tenant.shutdown(progress,
false).await.is_err() ` , while holding TENANTS.read()
2. POST request for tenant creation comes in, calls `tenant_map_insert`,
it does `let mut guard = TENANTS.write().await;`
3. Something that `tenant.shutdown()` needs to wait for needs a
`TENANTS.read().await`.
The only case identified in exhaustive manual scanning of the code base
is this one:
Imitate size access does `get_tenant().await`, which does
`TENANTS.read().await` under the hood.
In the above case (1) waits for (3), (3)'s read-lock request is queued
behind (2)'s write-lock, and (2) waits for (1).
Deadlock.
I made a reproducer/proof-that-above-hypothesis-holds in
https://github.com/neondatabase/neon/pull/5281 , but, it's not ready for
merge yet and we want the fix _now_.
fixes https://github.com/neondatabase/neon/issues/5284
## Problem
We were returning Pending when a connection had a notice/notification
(introduced recently in #5020). When returning pending, the runtime
assumes you will call `cx.waker().wake()` in order to continue
processing.
We weren't doing that, so the connection task would get stuck
## Summary of changes
Don't return pending. Loop instead
## Problem
cargo deny lint broken
Links to the CVEs:
[rustsec.org/advisories/RUSTSEC-2023-0052](https://rustsec.org/advisories/RUSTSEC-2023-0052)
[rustsec.org/advisories/RUSTSEC-2023-0053](https://rustsec.org/advisories/RUSTSEC-2023-0053)
One is fixed, the other one isn't so we allow it (for now), to unbreak
CI. Then later we'll try to get rid of webpki in favour of the rustls
fork.
## Summary of changes
```
+ignore = ["RUSTSEC-2023-0052"]
```
## Problem
When an endpoint is shutting down, it can take a few seconds. Currently
when starting a new compute, this causes an "endpoint is in transition"
error. We need to add delays before retrying to ensure that we allow
time for the endpoint to shutdown properly.
## Summary of changes
Adds a delay before retrying in auth. connect_to_compute already has
this delay
commit
commit 5f8fd640bf
Author: Alek Westover <alek.westover@gmail.com>
Date: Wed Jul 26 08:24:03 2023 -0400
Upload Test Remote Extensions (#4792)
switched to using the release tag instead of `latest`, but,
the `promote-images` job only uploads `latest` to the prod ECR.
The switch to using release tag was good in principle, but,
reverting that part to make the release pipeine work.
Note that a proper fix should abandon use of `:latest` tag
at all: currently, if a `main` pipeline runs concurrently
with a `release` pipeline, the `release` pipeline may end
up using the `main` pipeline's images.
## Problem
If we fail to wake up the compute node, a subsequent connect attempt
will definitely fail. However, kubernetes won't fail the connection
immediately, instead it hangs until we timeout (10s).
## Summary of changes
Refactor the loop to allow fast retries of compute_wake and to skip a
connect attempt.
## Problem
#4598 compute nodes are not accessible some time after wake up due to
kubernetes DNS not being fully propagated.
## Summary of changes
Update connect retry mechanism to support handling IO errors and
sleeping for 100ms
## 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.
```
CREATE EXTENSION embedding;
CREATE TABLE t (val real[]);
INSERT INTO t (val) VALUES ('{0,0,0}'), ('{1,2,3}'), ('{1,1,1}'), (NULL);
CREATE INDEX ON t USING hnsw (val) WITH (maxelements = 10, dims=3, m=3);
INSERT INTO t (val) VALUES (array[1,2,4]);
SELECT * FROM t ORDER BY val <-> array[3,3,3];
val
---------
{1,2,3}
{1,2,4}
{1,1,1}
{0,0,0}
(5 rows)
```
The consumption metrics synthetic size worker does logical size calculation.
Logical size calculation currently does synchronous disk IO.
This blocks the MGMT_REQUEST_RUNTIME's executor threads, starving other futures.
While there's work on the way to move the synchronous disk IO into spawn_blocking,
the quickfix here is to use the BACKGROUND_RUNTIME instead of MGMT_REQUEST_RUNTIME.
Actually it's not just a quickfix. We simply shouldn't be blocking MGMT_REQUEST_RUNTIME
executor threads on CPU or sync disk IO.
That work isn't done yet, as many of the mgmt tasks still _do_ disk IO.
But it's not as intensive as the logical size calculations that we're fixing here.
While we're at it, fix disk-usage-based eviction in a similar way.
It wasn't the culprit here, according to prod logs, but it can theoretically be
a little CPU-intensive.
More context, including graphs from Prod:
https://neondb.slack.com/archives/C03F5SM1N02/p1687541681336949
(cherry picked from commit d6e35222ea)
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.
## Problem
Compatibility tests don't support Postgres 15 yet, but we're still
trying to upload compatibility snapshot (which we do not collect).
Ref
https://github.com/neondatabase/neon/actions/runs/4991394158/jobs/8940369368#step:4:38129
## Summary of changes
Add `pg_version` parameter to `run-python-test-set` actions and do not
upload compatibility snapshot for Postgres 15
This reverts commit 732acc5.
Reverted PR: #3869
As noted in PR #4094, we do in fact try to insert duplicates to the
layer map, if L0->L1 compaction is interrupted. We do not have a proper
fix for that right now, and we are in a hurry to make a release to
production, so revert the changes related to this to the state that we
have in production currently. We know that we have a bug here, but
better to live with the bug that we've had in production for a long
time, than rush a fix to production without testing it in staging first.
Cc: #4094, #4088
Otherwise they get lost. Normally buffer is empty before proxy pass, but this is
not the case with pipeline mode of out npm driver; fixes connection hangup
introduced by b80fe41af3 for it.
fixes https://github.com/neondatabase/neon/issues/3822
## Describe your changes
We have previously changed the neon-proxy to use RollingUpdate. This
should be enabled in legacy proxy too in order to avoid breaking
connections for the clients and allow for example backups to run even
during deployment. (https://github.com/neondatabase/neon/pull/3683)
## Issue ticket number and link
https://github.com/neondatabase/neon/issues/3333
## Describe your changes
Rebase vendored PostgreSQL onto 14.7 and 15.2
## Issue ticket number and link
#3579
## 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?
- [x] If this PR requires public announcement, mark it with
/release-notes label and add several sentences in this section.
```
The version of PostgreSQL that we use is updated to 14.7 for PostgreSQL
14 and 15.2 for PostgreSQL 15.
```
previously we applied the ratelimiting only up to receiving the headers
from s3, or somewhere near it. the commit adds an adapter which carries
the permit until the AsyncRead has been disposed.
fixes#3662.
Calculation of logical size is now async because of layer downloads, so
we shouldn't use spawn_blocking for it. Use of `spawn_blocking`
exhausted resources which are needed by `tokio::io::copy` when copying
from a stream to a file which lead to deadlock.
Fixes: #3657
these are happening in tests because of #3655 but they sure took some
time to appear.
makes the `Compaction failed, retrying in 2s: Cannot run compaction
iteration on inactive tenant` into a globally allowed error, because it
has been seen failing on different test cases.
Small changes, but hopefully this will help with the panic detected in
staging, for which we cannot get the debugging information right now
(end-of-branch before branch-point).
Before only the timelines which have passed the `gc_horizon` were
processed which failed with orphans at the tree_sort phase. Example
input in added `test_branched_empty_timeline_size` test case.
The PR changes iteration to happen through all timelines, and in
addition to that, any learned branch points will be calculated as they
would had been in the original implementation if the ancestor branch had
been over the `gc_horizon`.
This also changes how tenants where all timelines are below `gc_horizon`
are handled. Previously tenant_size 0 was returned, but now they will
have approximately `initdb_lsn` worth of tenant_size.
The PR also adds several new tenant size tests that describe various corner
cases of branching structure and `gc_horizon` setting.
They are currently disabled to not consume time during CI.
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
Previously, we were trying to re-assign owned objects of the already
deleted role. This were causing a crash loop in the case when compute
was restarted with a spec that includes delta operation for role
deletion. To avoid such cases, check that role is still present before
calling `reassign_owned_objects`.
Resolvesneondatabase/cloud#3553
This reverts commit 826e89b9ce.
The problem with that commit was that it deletes the TempDir while
there are still EphemeralFile instances open.
At first I thought this could be fixed by simply adding
Handle::current().block_on(task_mgr::shutdown(None, Some(tenant_id), None))
to TenantHarness::drop, but it turned out to be insufficient.
So, reverting the commit until we find a proper solution.
refs https://github.com/neondatabase/neon/issues/3385
Refactors Compute::prepare_and_run. It's split into subroutines
differently, to make it easier to attach tracing spans to the
different stages. The high-level logic for waiting for Postgres to
exit is moved to the caller.
Replace 'env_logger' with 'tracing', and add `#instrument` directives
to different stages fo the startup process. This is a fairly
mechanical change, except for the changes in 'spec.rs'. 'spec.rs'
contained some complicated formatting, where parts of log messages
were printed directly to stdout with `print`s. That was a bit messed
up because the log normally goes to stderr, but those lines were
printed to stdout. In our docker images, stderr and stdout both go to
the same place so you wouldn't notice, but I don't think it was
intentional.
This changes the log format to the default
'tracing_subscriber::format' format. It's different from the Postgres
log format, however, and because both compute_tools and Postgres print
to the same log, it's now a mix of two different formats. I'm not
sure how the Grafana log parsing pipeline can handle that. If it's a
problem, we can build custom formatter to change the compute_tools log
format to be the same as Postgres's, like it was before this commit,
or we can change the Postgres log format to match tracing_formatter's,
or we can start printing compute_tool's log output to a different
destination than Postgres
IMDSv2 has limits, and if we query it on every s3 interaction we are
going to go over those limits. Changes the s3_bucket client
configuration to use:
- ChainCredentialsProvider to handle env variables or imds usage
- LazyCachingCredentialsProvider to actually cache any credentials
Related: https://github.com/awslabs/aws-sdk-rust/issues/629
Possibly related: https://github.com/neondatabase/neon/issues/3118
plv8 can only be built with a fairly new gold linker version. We used to install
it via binutils packages from testing, but it also updates libc and that causes
troubles in the resulting image as different extensions were built against
different libc versions. We could either use libc from debian-testing everywhere
or restrain from using testing packages and install necessary programs manually.
This patch uses the latter approach: gold for plv8 and cmake for h3 are
installed manually.
In a passing declare h3_postgis as a safe extension (previous omission).
`GRANT CREATE ON SCHEMA public` fails if there is no schema `public`.
Disable it in release for now and make a better fix later (it is
needed for v15 support).
* Check for entire range during sasl validation (#2281)
* Gen2 GH runner (#2128)
* Re-add rustup override
* Try s3 bucket
* Set git version
* Use v4 cache key to prevent problems
* Switch to v5 for key
* Add second rustup fix
* Rebase
* Add kaniko steps
* Fix typo and set compress level
* Disable global run default
* Specify shell for step
* Change approach with kaniko
* Try less verbose shell spec
* Add submodule pull
* Add promote step
* Adjust dependency chain
* Try default swap again
* Use env
* Don't override aws key
* Make kaniko build conditional
* Specify runs on
* Try without dependency link
* Try soft fail
* Use image with git
* Try passing to next step
* Fix duplicate
* Try other approach
* Try other approach
* Fix typo
* Try other syntax
* Set env
* Adjust setup
* Try step 1
* Add link
* Try global env
* Fix mistake
* Debug
* Try other syntax
* Try other approach
* Change order
* Move output one step down
* Put output up one level
* Try other syntax
* Skip build
* Try output
* Re-enable build
* Try other syntax
* Skip middle step
* Update check
* Try first step of dockerhub push
* Update needs dependency
* Try explicit dir
* Add missing package
* Try other approach
* Try other approach
* Specify region
* Use with
* Try other approach
* Add debug
* Try other approach
* Set region
* Follow AWS example
* Try github approach
* Skip Qemu
* Try stdin
* Missing steps
* Add missing close
* Add echo debug
* Try v2 endpoint
* Use v1 endpoint
* Try without quotes
* Revert
* Try crane
* Add debug
* Split steps
* Fix duplicate
* Add shell step
* Conform to options
* Add verbose flag
* Try single step
* Try workaround
* First request fails hunch
* Try bullseye image
* Try other approach
* Adjust verbose level
* Try previous step
* Add more debug
* Remove debug step
* Remove rogue indent
* Try with larger image
* Add build tag step
* Update workflow for testing
* Add tag step for test
* Remove unused
* Update dependency chain
* Add ownership fix
* Use matrix for promote
* Force update
* Force build
* Remove unused
* Add new image
* Add missing argument
* Update dockerfile copy
* Update Dockerfile
* Update clone
* Update dockerfile
* Go to correct folder
* Use correct format
* Update dockerfile
* Remove cd
* Debug find where we are
* Add debug on first step
* Changedir to postgres
* Set workdir
* Use v1 approach
* Use other dependency
* Try other approach
* Try other approach
* Update dockerfile
* Update approach
* Update dockerfile
* Update approach
* Update dockerfile
* Update dockerfile
* Add workspace hack
* Update Dockerfile
* Update Dockerfile
* Update Dockerfile
* Change last step
* Cleanup pull in prep for review
* Force build images
* Add condition for latest tagging
* Use pinned version
* Try without name value
* Remove more names
* Shorten names
* Add kaniko comments
* Pin kaniko
* Pin crane and ecr helper
* Up one level
* Switch to pinned tag for rust image
* Force update for test
Co-authored-by: Rory de Zoete <rdezoete@RorysMacStudio.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@b04468bf-cdf4-41eb-9c94-aff4ca55e4bf.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@Rorys-Mac-Studio.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@4795e9ee-4f32-401f-85f3-f316263b62b8.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@2f8bc4e5-4ec2-4ea2-adb1-65d863c4a558.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@27565b2b-72d5-4742-9898-a26c9033e6f9.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@ecc96c26-c6c4-4664-be6e-34f7c3f89a3c.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@7caff3a5-bf03-4202-bd0e-f1a93c86bdae.fritz.box>
* Add missing step output, revert one deploy step (#2285)
* Add missing step output, revert one deploy step
* Conform to syntax
* Update approach
* Add missing value
* Add missing needs
Co-authored-by: Rory de Zoete <rdezoete@RorysMacStudio.fritz.box>
* Error for fatal not git repo (#2286)
Co-authored-by: Rory de Zoete <rdezoete@RorysMacStudio.fritz.box>
* Use main, not branch for ref check (#2288)
* Use main, not branch for ref check
* Add more debug
* Count main, not head
* Try new approach
* Conform to syntax
* Update approach
* Get full history
* Skip checkout
* Cleanup debug
* Remove more debug
Co-authored-by: Rory de Zoete <rdezoete@RorysMacStudio.fritz.box>
* Fix docker zombie process issue (#2289)
* Fix docker zombie process issue
* Init everywhere
Co-authored-by: Rory de Zoete <rdezoete@RorysMacStudio.fritz.box>
* Fix 1.63 clippy lints (#2282)
* split out timeline metrics, track layer map loading and size calculation
* reset rust cache for clippy run to avoid an ICE
additionally remove trailing whitespaces
* Rename pg_control_ffi.h to bindgen_deps.h, for clarity.
The pg_control_ffi.h name implies that it only includes stuff related to
pg_control.h. That's mostly true currently, but really the point of the
file is to include everything that we need to generate Rust definitions
from.
* Make local mypy behave like CI mypy (#2291)
* Fix flaky pageserver restarts in tests (#2261)
* Remove extra type aliases (#2280)
* Update cachepot endpoint (#2290)
* Update cachepot endpoint
* Update dockerfile & remove env
* Update image building process
* Cannot use metadata endpoint for this
* Update workflow
* Conform to kaniko syntax
* Update syntax
* Update approach
* Update dockerfiles
* Force update
* Update dockerfiles
* Update dockerfile
* Cleanup dockerfiles
* Update s3 test location
* Revert s3 experiment
* Add more debug
* Specify aws region
* Remove debug, add prefix
* Remove one more debug
Co-authored-by: Rory de Zoete <rdezoete@RorysMacStudio.fritz.box>
* workflows/benchmarking: increase timeout (#2294)
* Rework `init` in pageserver CLI (#2272)
* Do not create initial tenant and timeline (adjust Python tests for that)
* Rework config handling during init, add --update-config to manage local config updates
* Fix: Always build images (#2296)
* Always build images
* Remove unused
Co-authored-by: Rory de Zoete <rdezoete@RorysMacStudio.fritz.box>
* Move auto-generated 'bindings' to a separate inner module.
Re-export only things that are used by other modules.
In the future, I'm imagining that we run bindgen twice, for Postgres
v14 and v15. The two sets of bindings would go into separate
'bindings_v14' and 'bindings_v15' modules.
Rearrange postgres_ffi modules.
Move function, to avoid Postgres version dependency in timelines.rs
Move function to generate a logical-message WAL record to postgres_ffi.
* fix cargo test
* Fix walreceiver and safekeeper bugs (#2295)
- There was an issue with zero commit_lsn `reason: LaggingWal { current_commit_lsn: 0/0, new_commit_lsn: 1/6FD90D38, threshold: 10485760 } }`. The problem was in `send_wal.rs`, where we initialized `end_pos = Lsn(0)` and in some cases sent it to the pageserver.
- IDENTIFY_SYSTEM previously returned `flush_lsn` as a physical end of WAL. Now it returns `flush_lsn` (as it was) to walproposer and `commit_lsn` to everyone else including pageserver.
- There was an issue with backoff where connection was cancelled right after initialization: `connected!` -> `safekeeper_handle_db: Connection cancelled` -> `Backoff: waiting 3 seconds`. The problem was in sleeping before establishing the connection. This is fixed by reworking retry logic.
- There was an issue with getting `NoKeepAlives` reason in a loop. The issue is probably the same as the previous.
- There was an issue with filtering safekeepers based on retry attempts, which could filter some safekeepers indefinetely. This is fixed by using retry cooldown duration instead of retry attempts.
- Some `send_wal.rs` connections failed with errors without context. This is fixed by adding a timeline to safekeepers errors.
New retry logic works like this:
- Every candidate has a `next_retry_at` timestamp and is not considered for connection until that moment
- When walreceiver connection is closed, we update `next_retry_at` using exponential backoff, increasing the cooldown on every disconnect.
- When `last_record_lsn` was advanced using the WAL from the safekeeper, we reset the retry cooldown and exponential backoff, allowing walreceiver to reconnect to the same safekeeper instantly.
* on safekeeper registration pass availability zone param (#2292)
Co-authored-by: Kirill Bulatov <kirill@neon.tech>
Co-authored-by: Rory de Zoete <33318916+zoete@users.noreply.github.com>
Co-authored-by: Rory de Zoete <rdezoete@RorysMacStudio.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@b04468bf-cdf4-41eb-9c94-aff4ca55e4bf.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@Rorys-Mac-Studio.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@4795e9ee-4f32-401f-85f3-f316263b62b8.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@2f8bc4e5-4ec2-4ea2-adb1-65d863c4a558.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@27565b2b-72d5-4742-9898-a26c9033e6f9.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@ecc96c26-c6c4-4664-be6e-34f7c3f89a3c.fritz.box>
Co-authored-by: Rory de Zoete <rdezoete@7caff3a5-bf03-4202-bd0e-f1a93c86bdae.fritz.box>
Co-authored-by: Dmitry Rodionov <dmitry@neon.tech>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
Co-authored-by: bojanserafimov <bojan.serafimov7@gmail.com>
Co-authored-by: Alexander Bayandin <alexander@neon.tech>
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
Co-authored-by: Anton Galitsyn <agalitsyn@users.noreply.github.com>
* github/workflows: Fix git dubious ownership (#2223)
* Move relation size cache from WalIngest to DatadirTimeline (#2094)
* Move relation sie cache to layered timeline
* Fix obtaining current LSN for relation size cache
* Resolve merge conflicts
* Resolve merge conflicts
* Reestore 'lsn' field in DatadirModification
* adjust DatadirModification lsn in ingest_record
* Fix formatting
* Pass lsn to get_relsize
* Fix merge conflict
* Update pageserver/src/pgdatadir_mapping.rs
Co-authored-by: Heikki Linnakangas <heikki@zenith.tech>
* Update pageserver/src/pgdatadir_mapping.rs
Co-authored-by: Heikki Linnakangas <heikki@zenith.tech>
Co-authored-by: Heikki Linnakangas <heikki@zenith.tech>
* refactor: replace lazy-static with once-cell (#2195)
- Replacing all the occurrences of lazy-static with `once-cell::sync::Lazy`
- fixes#1147
Signed-off-by: Ankur Srivastava <best.ankur@gmail.com>
* Add more buckets to pageserver latency metrics (#2225)
* ignore record property warning to fix benchmarks
* increase statement timeout
* use event so it fires only if workload thread successfully finished
* remove debug log
* increase timeout to pass test with real s3
* avoid duplicate parameter, increase timeout
* Major migration script (#2073)
This script can be used to migrate a tenant across breaking storage versions, or (in the future) upgrading postgres versions. See the comment at the top for an overview.
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
* Fix etcd typos
* Fix links to safekeeper protocol docs. (#2188)
safekeeper/README_PROTO.md was moved to docs/safekeeper-protocol.md in
commit 0b14fdb078, as part of reorganizing the docs into 'mdbook' format.
Fixes issue #1475. Thanks to @banks for spotting the outdated references.
In addition to fixing the above issue, this patch also fixes other broken links as a result of 0b14fdb078. See https://github.com/neondatabase/neon/pull/2188#pullrequestreview-1055918480.
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
Co-authored-by: Thang Pham <thang@neon.tech>
* Update CONTRIBUTING.md
* Update CONTRIBUTING.md
* support node id and remote storage params in docker_entrypoint.sh
* Safe truncate (#2218)
* Move relation sie cache to layered timeline
* Fix obtaining current LSN for relation size cache
* Resolve merge conflicts
* Resolve merge conflicts
* Reestore 'lsn' field in DatadirModification
* adjust DatadirModification lsn in ingest_record
* Fix formatting
* Pass lsn to get_relsize
* Fix merge conflict
* Update pageserver/src/pgdatadir_mapping.rs
Co-authored-by: Heikki Linnakangas <heikki@zenith.tech>
* Update pageserver/src/pgdatadir_mapping.rs
Co-authored-by: Heikki Linnakangas <heikki@zenith.tech>
* Check if relation exists before trying to truncat it
refer #1932
* Add test reporducing FSM truncate problem
Co-authored-by: Heikki Linnakangas <heikki@zenith.tech>
* Fix exponential backoff values
* Update back `vendor/postgres` back; it was changed accidentally. (#2251)
Commit 4227cfc96e accidentally reverted vendor/postgres to an older
version. Update it back.
* Add pageserver checkpoint_timeout option.
To flush inmemory layer eventually when no new data arrives, which helps
safekeepers to suspend activity (stop pushing to the broker). Default 10m should
be ok.
* Share exponential backoff code and fix logic for delete task failure (#2252)
* Fix bug when import large (>1GB) relations (#2172)
Resolves#2097
- use timeline modification's `lsn` and timeline's `last_record_lsn` to determine the corresponding LSN to query data in `DatadirModification::get`
- update `test_import_from_pageserver`. Split the test into 2 variants: `small` and `multisegment`.
+ `small` is the old test
+ `multisegment` is to simulate #2097 by using a larger number of inserted rows to create multiple segment files of a relation. `multisegment` is configured to only run with a `release` build
* Fix timeline physical size flaky tests (#2244)
Resolves#2212.
- use `wait_for_last_flush_lsn` in `test_timeline_physical_size_*` tests
## Context
Need to wait for the pageserver to catch up with the compute's last flush LSN because during the timeline physical size API call, it's possible that there are running `LayerFlushThread` threads. These threads flush new layers into disk and hence update the physical size. This results in a mismatch between the physical size reported by the API and the actual physical size on disk.
### Note
The `LayerFlushThread` threads are processed **concurrently**, so it's possible that the above error still persists even with this patch. However, making the tests wait to finish processing all the WALs (not flushing) before calculating the physical size should help reduce the "flakiness" significantly
* postgres_ffi/waldecoder: validate more header fields
* postgres_ffi/waldecoder: remove unused startlsn
* postgres_ffi/waldecoder: introduce explicit `enum State`
Previously it was emulated with a combination of nullable fields.
This change should make the logic more readable.
* disable `test_import_from_pageserver_multisegment` (#2258)
This test failed consistently on `main` now. It's better to temporarily disable it to avoid blocking others' PRs while investigating the root cause for the test failure.
See: #2255, #2256
* get_binaries uses DOCKER_TAG taken from docker image build step (#2260)
* [proxy] Rework wire format of the password hack and some errors (#2236)
The new format has a few benefits: it's shorter, simpler and
human-readable as well. We don't use base64 anymore, since
url encoding got us covered.
We also show a better error in case we couldn't parse the
payload; the users should know it's all about passing the
correct project name.
* test_runner/pg_clients: collect docker logs (#2259)
* get_binaries script fix (#2263)
* get_binaries uses DOCKER_TAG taken from docker image build step
* remove docker tag discovery at all and fix get_binaries for version variable
* Better storage sync logs (#2268)
* Find end of WAL on safekeepers using WalStreamDecoder.
We could make it inside wal_storage.rs, but taking into account that
- wal_storage.rs reading is async
- we don't need s3 here
- error handling is different; error during decoding is normal
I decided to put it separately.
Test
cargo test test_find_end_of_wal_last_crossing_segment
prepared earlier by @yeputons passes now.
Fixes https://github.com/neondatabase/neon/issues/544https://github.com/neondatabase/cloud/issues/2004
Supersedes https://github.com/neondatabase/neon/pull/2066
* Improve walreceiver logic (#2253)
This patch makes walreceiver logic more complicated, but it should work better in most cases. Added `test_wal_lagging` to test scenarios where alive safekeepers can lag behind other alive safekeepers.
- There was a bug which looks like `etcd_info.timeline.commit_lsn > Some(self.local_timeline.get_last_record_lsn())` filtered all safekeepers in some strange cases. I removed this filter, it should probably help with #2237
- Now walreceiver_connection reports status, including commit_lsn. This allows keeping safekeeper connection even when etcd is down.
- Safekeeper connection now fails if pageserver doesn't receive safekeeper messages for some time. Usually safekeeper sends messages at least once per second.
- `LaggingWal` check now uses `commit_lsn` directly from safekeeper. This fixes the issue with often reconnects, when compute generates WAL really fast.
- `NoWalTimeout` is rewritten to trigger only when we know about the new WAL and the connected safekeeper doesn't stream any WAL. This allows setting a small `lagging_wal_timeout` because it will trigger only when we observe that the connected safekeeper has stuck.
* increase timeout in wait_for_upload to avoid spurious failures when testing with real s3
* Bump vendor/postgres to include XLP_FIRST_IS_CONTRECORD fix. (#2274)
* Set up a workflow to run pgbench against captest (#2077)
Signed-off-by: Ankur Srivastava <best.ankur@gmail.com>
Co-authored-by: Alexander Bayandin <alexander@neon.tech>
Co-authored-by: Konstantin Knizhnik <knizhnik@garret.ru>
Co-authored-by: Heikki Linnakangas <heikki@zenith.tech>
Co-authored-by: Ankur Srivastava <ansrivas@users.noreply.github.com>
Co-authored-by: bojanserafimov <bojan.serafimov7@gmail.com>
Co-authored-by: Dmitry Rodionov <dmitry@neon.tech>
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
Co-authored-by: Kirill Bulatov <kirill@neon.tech>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
Co-authored-by: Thang Pham <thang@neon.tech>
Co-authored-by: Stas Kelvich <stas.kelvich@gmail.com>
Co-authored-by: Arseny Sher <sher-ars@yandex.ru>
Co-authored-by: Egor Suvorov <egor@neon.tech>
Co-authored-by: Andrey Taranik <andrey@cicd.team>
Co-authored-by: Dmitry Ivanov <ivadmi5@gmail.com>
[HOTFIX] Release deploy fix
This PR uses this branch neondatabase/postgres#171 and several required commits from the main to use only locally built compute-tools. This should allow us to rollout safekeepers sync issue fix on prod
This crate contains tools to start a Neon development environment locally. This utility can be used with the `cargo neon` command.
This crate contains tools to start a Neon development environment locally. This utility can be used with the `cargo neon` command. This is a convenience to invoke
the `neon_local` binary.
**Note**: this is a dev/test tool -- a minimal control plane suitable for testing
code changes locally, but not suitable for running production systems.
query="select pge.extname from pg_extension pge join (select key as extname, value as extversion from json_each_text('${new_vers}')) x on pge.extname=x.extname and pge.extversion <> x.extversion"
Data in large tenants is split up between multiple pageservers according to key hashes, as
introduced in the [sharding RFC](031-sharding-static.md) and [shard splitting RFC](032-shard-splitting.md).
Whereas currently we send all WAL to all pageserver shards, and each shard filters out the data that it needs,
in this RFC we add a mechanism to filter the WAL on the safekeeper, so that each shard receives
only the data it needs.
This will place some extra CPU load on the safekeepers, in exchange for reducing the network bandwidth
for ingesting WAL back to scaling as O(1) with shard count, rather than O(N_shards).
## Motivation
1. Large databases require higher shard counts. Whereas currently we run with up to 8 shards for tenants
with a few TB of storage, the next order of magnitude capacity increase will require tens of shards, such
that sending all WAL to all shards is impractical in terms of bandwidth.
2. For contemporary database sizes (~2TB), the pageserver is the bottleneck for ingest: since each
shard has to decode and process the whole WAL, sharding doesn't fully relieve this bottleneck. To achieve significantly higher ingest speeds, we need to filter the WAL earlier so that each pageserver
only has to process relevant parts.
## Non Goals (if relevant)
We do not seek to introduce multiple WALs per timeline, or to share the work of handling a timeline's
WAL across safekeepers (beyond simple 3x replication). This RFC may be thought of as an incremental
move of the ingestion bottleneck up the stack: instead of high write rates bottlenecking on the
pageserver, they will bottleneck on the safekeeper.
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