Today we don't have any indications (other than spammy logs in PG that
nobody monitors) if the Walproposer in PG cannot connect to/get votes
from all Safekeepers. This means we don't have signals indicating that
the Safekeepers are operating at degraded redundancy. We need these
signals.
Added plumbing in PG extension so that the `neon_perf_counters` view
exports the following gauge metrics on safekeeper health:
- `num_configured_safekeepers`: The total number of safekeepers
configured in PG.
- `num_active_safekeepers`: The number of safekeepers that PG is
actively streaming WAL to.
An alert should be raised whenever `num_active_safekeepers` <
`num_configured_safekeepers`.
The metrics are implemented by adding additional state to the
Walproposer shared memory keeping track of the active statuses of
safekeepers using a simple array. The status of the safekeeper is set to
active (1) after the Walproposer acquires a quorum and starts streaming
data to the safekeeper, and is set to inactive (0) when the connection
with a safekeeper is shut down. We scan the safekeeper status array in
Walproposer shared memory when collecting the metrics to produce results
for the gauges.
Added coverage for the metrics to integration test
`test_wal_acceptor.py::test_timeline_disk_usage_limit`.
## Problem
## Summary of changes
---------
Co-authored-by: William Huang <william.huang@databricks.com>
… walproposer (#895)
Data corruptions are typically detected on the pageserver side when it
replays WAL records. However, since PS doesn't synchronously replay WAL
records as they are being ingested through safekeepers, we need some
extra plumbing to feed information about pageserver-detected corruptions
during compaction (and/or WAL redo in general) back to SK and PG for
proper action.
We don't yet know what actions PG/SK should take upon receiving the
signal, but we should have the detection and feedback in place.
Add an extra `corruption_detected` field to the `PageserverFeedback`
message that is sent from PS -> SK -> PG. It's a boolean value that is
set to true when PS detects a "critical error" that signals data
corruption, and it's sent in all `PageserverFeedback` messages. Upon
receiving this signal, the safekeeper raises a
`safekeeper_ps_corruption_detected` gauge metric (value set to 1). The
safekeeper then forwards this signal to PG where a
`ps_corruption_detected` gauge metric (value also set to 1) is raised in
the `neon_perf_counters` view.
Added an integration test in
`test_compaction.py::test_ps_corruption_detection_feedback` that
confirms that the safekeeper and PG can receive the data corruption
signal in the `PageserverFeedback` message in a simulated data
corruption.
## Problem
## Summary of changes
---------
Co-authored-by: William Huang <william.huang@databricks.com>
## Problem
Tenant split test revealed another bug with PG backpressure throttling
that under some cases PS may never report its progress back to SK (e.g.,
observed when aborting tenant shard where the old shard needs to
re-establish SK connection and re-ingest WALs from a much older LSN). In
this case, PG may get stuck forever.
## Summary of changes
As a general precaution that PS feedback mechanism may not always be
reliable, this PR uses the previously introduced WAL write rate limit
mechanism to slow down write rates instead of completely pausing it. The
idea is to introduce a new
`databricks_effective_max_wal_bytes_per_second`, which is set to
`databricks_max_wal_mb_per_second` when no PS back pressure and is set
to `10KB` when there is back pressure. This way, PG can still write to
SK, though at a very low speed.
The PR also fixes the problem that the current WAL rate limiting
mechanism is too coarse grained and cannot enforce limits < 1MB. This is
because it always resets the rate limiter after 1 second, even if PG
could have written more data in the past second. The fix is to introduce
a `batch_end_time_us` which records the expected end time of the current
batch. For example, if PG writes 10MB of data in a single batch, and max
WAL write rate is set as `1MB/s`, then `batch_end_time_us` will be set
as 10 seconds later.
## How is this tested?
Tweaked the existing test, and also did manual testing on dev. I set
`max_replication_flush_lag` as 1GB, and loaded 500GB pgbench tables.
It's expected to see PG gets throttled periodically because PS will
accumulate 4GB of data before flushing.
Results:
when PG is throttled:
```
9500000 of 3300000000 tuples (0%) done (elapsed 10.36 s, remaining 3587.62 s)
9600000 of 3300000000 tuples (0%) done (elapsed 124.07 s, remaining 42523.59 s)
9700000 of 3300000000 tuples (0%) done (elapsed 255.79 s, remaining 86763.97 s)
9800000 of 3300000000 tuples (0%) done (elapsed 315.89 s, remaining 106056.52 s)
9900000 of 3300000000 tuples (0%) done (elapsed 412.75 s, remaining 137170.58 s)
```
when PS just flushed:
```
18100000 of 3300000000 tuples (0%) done (elapsed 433.80 s, remaining 78655.96 s)
18200000 of 3300000000 tuples (0%) done (elapsed 433.85 s, remaining 78231.71 s)
18300000 of 3300000000 tuples (0%) done (elapsed 433.90 s, remaining 77810.62 s)
18400000 of 3300000000 tuples (0%) done (elapsed 433.96 s, remaining 77395.86 s)
18500000 of 3300000000 tuples (0%) done (elapsed 434.03 s, remaining 76987.27 s)
18600000 of 3300000000 tuples (0%) done (elapsed 434.08 s, remaining 76579.59 s)
18700000 of 3300000000 tuples (0%) done (elapsed 434.13 s, remaining 76177.12 s)
18800000 of 3300000000 tuples (0%) done (elapsed 434.19 s, remaining 75779.45 s)
18900000 of 3300000000 tuples (0%) done (elapsed 434.84 s, remaining 75489.40 s)
19000000 of 3300000000 tuples (0%) done (elapsed 434.89 s, remaining 75097.90 s)
19100000 of 3300000000 tuples (0%) done (elapsed 434.94 s, remaining 74712.56 s)
19200000 of 3300000000 tuples (0%) done (elapsed 498.93 s, remaining 85254.20 s)
19300000 of 3300000000 tuples (0%) done (elapsed 498.97 s, remaining 84817.95 s)
19400000 of 3300000000 tuples (0%) done (elapsed 623.80 s, remaining 105486.76 s)
19500000 of 3300000000 tuples (0%) done (elapsed 745.86 s, remaining 125476.51 s)
```
Co-authored-by: Chen Luo <chen.luo@databricks.com>
## Problem
We were only resetting the limit in the wal proposer. If backends are
back pressured, it might take a while for the wal proposer to receive a
new WAL to reset the limit.
## Summary of changes
Backend also checks the time and resets the limit.
## How is this tested?
pgbench has more smooth tps
Signed-off-by: Tristan Partin <tristan.partin@databricks.com>
Co-authored-by: Haoyu Huang <haoyu.huang@databricks.com>
## Problem
One PG tenant may write too fast and overwhelm the PS. The other tenants
sharing the same PSs will get very little bandwidth.
We had one experiment that two tenants sharing the same PSs. One tenant
runs a large ingestion that delivers hundreds of MB/s while the other
only get < 10 MB/s.
## Summary of changes
Rate limit how fast PG can generate WALs. The default is -1. We may
scale the default value with the CPU count. Need to run some experiments
to verify.
## How is this tested?
CI.
PGBench. No limit first. Then set to 1 MB/s and you can see the tps
drop. Then reverted the change and tps increased again.
pgbench -i -s 10 -p 55432 -h 127.0.0.1 -U cloud_admin -d postgres
pgbench postgres -c 10 -j 10 -T 6000000 -P 1 -b tpcb-like -h 127.0.0.1
-U cloud_admin -p 55432
progress: 33.0 s, 986.0 tps, lat 10.142 ms stddev 3.856 progress: 34.0
s, 973.0 tps, lat 10.299 ms stddev 3.857 progress: 35.0 s, 1004.0 tps,
lat 9.939 ms stddev 3.604 progress: 36.0 s, 984.0 tps, lat 10.183 ms
stddev 3.713 progress: 37.0 s, 998.0 tps, lat 10.004 ms stddev 3.668
progress: 38.0 s, 648.9 tps, lat 12.947 ms stddev 24.970 progress: 39.0
s, 0.0 tps, lat 0.000 ms stddev 0.000 progress: 40.0 s, 0.0 tps, lat
0.000 ms stddev 0.000 progress: 41.0 s, 0.0 tps, lat 0.000 ms stddev
0.000 progress: 42.0 s, 0.0 tps, lat 0.000 ms stddev 0.000 progress:
43.0 s, 0.0 tps, lat 0.000 ms stddev 0.000 progress: 44.0 s, 0.0 tps,
lat 0.000 ms stddev 0.000 progress: 45.0 s, 0.0 tps, lat 0.000 ms stddev
0.000 progress: 46.0 s, 0.0 tps, lat 0.000 ms stddev 0.000 progress:
47.0 s, 0.0 tps, lat 0.000 ms stddev 0.000 progress: 48.0 s, 0.0 tps,
lat 0.000 ms stddev 0.000 progress: 49.0 s, 347.3 tps, lat 321.560 ms
stddev 1805.633 progress: 50.0 s, 346.8 tps, lat 9.898 ms stddev 3.809
progress: 51.0 s, 0.0 tps, lat 0.000 ms stddev 0.000 progress: 52.0 s,
0.0 tps, lat 0.000 ms stddev 0.000 progress: 53.0 s, 0.0 tps, lat 0.000
ms stddev 0.000 progress: 54.0 s, 0.0 tps, lat 0.000 ms stddev 0.000
progress: 55.0 s, 0.0 tps, lat 0.000 ms stddev 0.000 progress: 56.0 s,
0.0 tps, lat 0.000 ms stddev 0.000 progress: 57.0 s, 0.0 tps, lat 0.000
ms stddev 0.000 progress: 58.0 s, 0.0 tps, lat 0.000 ms stddev 0.000
progress: 59.0 s, 0.0 tps, lat 0.000 ms stddev 0.000 progress: 60.0 s,
0.0 tps, lat 0.000 ms stddev 0.000 progress: 61.0 s, 0.0 tps, lat 0.000
ms stddev 0.000 progress: 62.0 s, 0.0 tps, lat 0.000 ms stddev 0.000
progress: 63.0 s, 494.5 tps, lat 276.504 ms stddev 1853.689 progress:
64.0 s, 488.0 tps, lat 20.530 ms stddev 71.981 progress: 65.0 s, 407.8
tps, lat 9.502 ms stddev 3.329 progress: 66.0 s, 0.0 tps, lat 0.000 ms
stddev 0.000 progress: 67.0 s, 0.0 tps, lat 0.000 ms stddev 0.000
progress: 68.0 s, 504.5 tps, lat 71.627 ms stddev 397.733 progress: 69.0
s, 371.0 tps, lat 24.898 ms stddev 29.007 progress: 70.0 s, 541.0 tps,
lat 19.684 ms stddev 24.094 progress: 71.0 s, 342.0 tps, lat 29.542 ms
stddev 54.935
Co-authored-by: Haoyu Huang <haoyu.huang@databricks.com>
The 1.88.0 stable release is near (this Thursday). We'd like to fix most
warnings beforehand so that the compiler upgrade doesn't require
approval from too many teams.
This is therefore a preparation PR (like similar PRs before it).
There is a lot of changes for this release, mostly because the
`uninlined_format_args` lint has been added to the `style` lint group.
One can read more about the lint
[here](https://rust-lang.github.io/rust-clippy/master/#/uninlined_format_args).
The PR is the result of `cargo +beta clippy --fix` and `cargo fmt`. One
remaining warning is left for the proxy team.
---------
Co-authored-by: Conrad Ludgate <conrad@neon.tech>
- Add optional `?mode=fast|immediate` to `/terminate`, `fast` is
default. Immediate avoids waiting 30
seconds before returning from `terminate`.
- Add `TerminateMode` to `ComputeStatus::TerminationPending`
- Use `/terminate?mode=immediate` in `neon_local` instead of `pg_ctl
stop` for `test_replica_promotes`.
- Change `test_replica_promotes` to check returned LSN
- Annotate `finish_sync_safekeepers` as `noreturn`.
https://github.com/neondatabase/cloud/issues/29807
In order to enable TLS connections between computes and safekeepers, we
need to provide the control plane with a way to configure the various
libpq keyword parameters, sslmode and sslrootcert. neon.safekeepers is a
comma separated list of safekeepers formatted as host:port, so isn't
available for extension in the same way that neon.pageserver_connstring
is. This could be remedied in a future PR.
Part-of: https://github.com/neondatabase/cloud/issues/25823
Link:
https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-PARAMKEYWORDS
Signed-off-by: Tristan Partin <tristan@neon.tech>
Migrates the remaining crates to edition 2024. We like to stay on the
latest edition if possible. There is no functional changes, however some
code changes had to be done to accommodate the edition's breaking
changes.
Like the previous migration PRs, this is comprised of three commits:
* the first does the edition update and makes `cargo check`/`cargo
clippy` pass. we had to update bindgen to make its output [satisfy the
requirements of edition
2024](https://doc.rust-lang.org/edition-guide/rust-2024/unsafe-extern.html)
* the second commit does a `cargo fmt` for the new style edition.
* the third commit reorders imports as a one-off change. As before, it
is entirely optional.
Part of #10918
## Problem
As part of https://github.com/neondatabase/neon/issues/8614 we need to
pass membership configurations between compute and safekeepers.
## Summary of changes
Add version 3 of the protocol carrying membership configurations.
Greeting message in both sides gets full conf, and other messages
generation number only. Use protocol bump to include other accumulated
changes:
- stop packing whole structs on the wire as is;
- make the tag u8 instead of u64;
- send all ints in network order;
- drop proposer_uuid, we can pass it in START_WAL_PUSH and it wasn't
much useful anyway.
Per message changes, apart from mconf:
- ProposerGreeting: tenant / timeline id is sent now as hex cstring.
Remove proto version, it is passed outside in START_WAL_PUSH. Remove
postgres timeline, it is unused. Reorder fields a bit.
- AcceptorGreeting: reorder fields
- VoteResponse: timeline_start_lsn is removed. It can be taken from
first member of term history, and later we won't need it at all when all
timelines will be explicitly created. Vote itself is u8 instead of u64.
- ProposerElected: timeline_start_lsn is removed for the same reasons.
- AppendRequest: epoch_start_lsn removed, it is known from term history
in ProposerElected.
Both compute and sk are able to talk v2 and v3 to make rollbacks (in
case we need them) easier; neon.safekeeper_proto_version GUC sets the
client version. v2 code can be dropped later.
So far empty conf is passed everywhere, future PRs will handle them.
To test, add param to some tests choosing proto version; we want to test
both 2 and 3 until we fully migrate.
ref https://github.com/neondatabase/neon/issues/10326
---------
Co-authored-by: Arthur Petukhovsky <petuhovskiy@yandex.ru>
## Problem
Linking walproposer library (e.g. `cargo t`) produces linker errors:
/home/myrrc/neon/pgxn/neon/walproposer_compat.c:169: undefined reference
to `pg_snprintf'
The library with these symbols (libpgcommon.a) is present
## Summary of changes
Changed order of libraries resolution for linker
This adds preliminary PG17 support to Neon, based on RC1 / 2024-09-04
07b828e9d4
NOTICE: The data produced by the included version of the PostgreSQL fork
may not be compatible with the future full release of PostgreSQL 17 due to
expected or unexpected future changes in magic numbers and internals.
DO NOT EXPECT DATA IN V17-TENANTS TO BE COMPATIBLE WITH THE 17.0
RELEASE!
Co-authored-by: Anastasia Lubennikova <anastasia@neon.tech>
Co-authored-by: Alexander Bayandin <alexander@neon.tech>
Co-authored-by: Konstantin Knizhnik <knizhnik@neon.tech>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
This removes workspace hack from all libs, not from any binaries. This
does not change the behaviour of the hack.
Running
```
cargo clean
cargo build --release --bin proxy
```
Before this change took 5m16s. After this change took 3m3s. This is
because this allows the build to be parallelisable much more.
## Problem
There's allegedly a bug where if we connect a subscriber before WAL is
downloaded from the safekeeper, it creates an error.
## Summary of changes
Adds support for pausing safekeepers from sending WAL to computes, and
then creates a compute and attaches a subscriber while it's in this
paused state. Fails to reproduce the issue, but probably a good test to
have
---------
Co-authored-by: Arseny Sher <sher-ars@yandex.ru>
Add shard_number to PageserverFeedback and parse it on the compute side.
When compute receives a new ps_feedback, it calculates min LSNs among
feedbacks from all shards, and uses those LSNs for backpressure.
Add `test_sharding_backpressure` to verify that backpressure slows down
compute to wait for the slowest shard.
The walproposer pretends to be a walsender in many ways. It has a
WalSnd slot, it claims to be a walsender by calling
MarkPostmasterChildWalSender() etc. But one different to real
walsenders was that the postmaster still treated it as a bgworker
rather than a walsender. The difference is that at shutdown,
walsenders are not killed until the very end, after the checkpointer
process has written the shutdown checkpoint and exited.
As a result, the walproposer always got killed before the shutdown
checkpoint was written, so the shutdown checkpoint never made it to
safekeepers. That's fine in principle, we don't require a clean
shutdown after all. But it also feels a bit silly not to stream the
shutdown checkpoint. It could be useful for initializing hot standby
mode in a read replica, for example.
Change postmaster to treat background workers that have called
MarkPostmasterChildWalSender() as walsenders. That unfortunately
requires another small change in postgres core.
After doing that, walproposers stay alive longer. However, it also
means that the checkpointer will wait for the walproposer to switch to
WALSNDSTATE_STOPPING state, when the checkpointer sends the
PROCSIG_WALSND_INIT_STOPPING signal. We don't have the machinery in
walproposer to receive and handle that signal reliably. Instead, we
mark walproposer as being in WALSNDSTATE_STOPPING always.
In commit 568f91420a, I assumed that shutdown will wait for all the
remaining WAL to be streamed to safekeepers, but before this commit
that was not true, and the test became flaky. This should make it
stable again.
Some tests wrongly assumed that no WAL could have been written between
pg_current_wal_flush_lsn and quick pg stop after it. Fix them by introducing
flush_ep_to_pageserver which first stops the endpoint and then waits till all
committed WAL reaches the pageserver.
In passing extract safekeeper http client to its own module.
This PR contains the first version of a
[FoundationDB-like](https://www.youtube.com/watch?v=4fFDFbi3toc)
simulation testing for safekeeper and walproposer.
### desim
This is a core "framework" for running determenistic simulation. It
operates on threads, allowing to test syncronous code (like walproposer).
`libs/desim/src/executor.rs` contains implementation of a determenistic
thread execution. This is achieved by blocking all threads, and each
time allowing only a single thread to make an execution step. All
executor's threads are blocked using `yield_me(after_ms)` function. This
function is called when a thread wants to sleep or wait for an external
notification (like blocking on a channel until it has a ready message).
`libs/desim/src/chan.rs` contains implementation of a channel (basic
sync primitive). It has unlimited capacity and any thread can push or
read messages to/from it.
`libs/desim/src/network.rs` has a very naive implementation of a network
(only reliable TCP-like connections are supported for now), that can
have arbitrary delays for each package and failure injections for
breaking connections with some probability.
`libs/desim/src/world.rs` ties everything together, to have a concept of
virtual nodes that can have network connections between them.
### walproposer_sim
Has everything to run walproposer and safekeepers in a simulation.
`safekeeper.rs` reimplements all necesary stuff from `receive_wal.rs`,
`send_wal.rs` and `timelines_global_map.rs`.
`walproposer_api.rs` implements all walproposer callback to use
simulation library.
`simulation.rs` defines a schedule – a set of events like `restart <sk>`
or `write_wal` that should happen at time `<ts>`. It also has code to
spawn walproposer/safekeeper threads and provide config to them.
### tests
`simple_test.rs` has tests that just start walproposer and 3 safekeepers
together in a simulation, and tests that they are not crashing right
away.
`misc_test.rs` has tests checking more advanced simulation cases, like
crashing or restarting threads, testing memory deallocation, etc.
`random_test.rs` is the main test, it checks thousands of random seeds
(schedules) for correctness. It roughly corresponds to running a real
python integration test in an environment with very unstable network and
cpu, but in a determenistic way (each seed results in the same execution
log) and much much faster.
Closes#547
---------
Co-authored-by: Arseny Sher <sher-ars@yandex.ru>
Remove confirm_wal_streamed; we already apply both write and flush positions of
the slot to commit_lsn which is fine because 1) we need to wake up waiters 2)
committed WAL can be fetched from safekeepers by neon_walreader now.
wp -> sk communication now uses neon_walreader which will fetch missing WAL on
demand from safekeepers, so doesn't need this anymore. Also, cap WAL download by
max_slot_wal_keep_size to be able to start compute if lag is too high.
- No need to include c.h, port.h or pg_config.h, they are included in
postgres.h
- No need to include postgres.h in header files. Instead, the
assumption in PostgreSQL is that all .c files include postgres.h.
- Reorder includes to alphabetical order, and system headers before
pgsql headers
- Remove bunch of other unnecessary includes that got copy-pasted from
one source file to another
Create Rust bindings for C functions from walproposer. This allows to
write better tests with real walproposer code without spawning multiple
processes and starting up the whole environment.
`make walproposer-lib` stage was added to build static libraries
`libwalproposer.a`, `libpgport.a`, `libpgcommon.a`. These libraries can
be statically linked to any executable to call walproposer functions.
`libs/walproposer/src/walproposer.rs` contains
`test_simple_sync_safekeepers` to test that walproposer can be called
from Rust to emulate sync_safekeepers logic. It can also be used as a
usage example.