This reverts commits 587cb705b8 (PR #6661)
and fcbe9fb184 (PR #6842).
Conflicts:
pageserver/src/tenant.rs
pageserver/src/tenant/timeline.rs
The conflicts were with
* pageserver: adjust checkpoint distance for sharded tenants (#6852)
* pageserver: add vectored get implementation (#6576)
Also we had to keep the `allowed_errors` to make `test_forward_compatibility` happy,
see the PR thread on GitHub for details.
It's been dead-code-at-runtime for 9 months, let's remove it.
We can always re-introduce it at a later point.
Came across this while working on #6861, which will touch
`time_for_new_image_layer`. This is an opporunity to make that function
simpler.
587cb705b8
changed the layer rolling logic to more closely obey the
`checkpoint_distance` config. Previously, this test was getting
layers significantly larger than the 8K it was asking for. Now the
payload in the layers is closer to 8K (which means more layers in
total).
Tweak the `checkpoint_distance` to get a number of layers more
reasonable for this test. Note that we still get more layers than
before (~8K vs ~5K).
## Problem
`test_pageserver_max_throughput_getpage_at_latest_lsn` is flaky which
makes CI status red pretty frequently. `benchmarks` is not a blocking
job (doesn't block `deploy`), so having it red might hide failures in
other jobs
Ref: https://github.com/neondatabase/neon/issues/6724
## Summary of changes
- Disable `test_pageserver_max_throughput_getpage_at_latest_lsn` on CI
until it fixed
## Problem
See https://github.com/neondatabase/cloud/issues/8673
## Summary of changes
Download missed SLRU segments from page server
## 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>
## Problem
To test sharding, we need something to control it. We could write python
code for doing this from the test runner, but this wouldn't be usable
with neon_local run directly, and when we want to write tests with large
number of shards/tenants, Rust is a better fit efficiently handling all
the required state.
This service enables automated tests to easily get a system with
sharding/HA without the test itself having to set this all up by hand:
existing tests can be run against sharded tenants just by setting a
shard count when creating the tenant.
## Summary of changes
Attachment service was previously a map of TenantId->TenantState, where
the principal state stored for each tenant was the generation and the
last attached pageserver. This enabled it to serve the re-attach and
validate requests that the pageserver requires.
In this PR, the scope of the service is extended substantially to do
overall management of tenants in the pageserver, including
tenant/timeline creation, live migration, evacuation of offline
pageservers etc. This is done using synchronous code to make declarative
changes to the tenant's intended state (`TenantState.policy` and
`TenantState.intent`), which are then translated into calls into the
pageserver by the `Reconciler`.
Top level summary of modules within
`control_plane/attachment_service/src`:
- `tenant_state`: structure that represents one tenant shard.
- `service`: implements the main high level such as tenant/timeline
creation, marking a node offline, etc.
- `scheduler`: for operations that need to pick a pageserver for a
tenant, construct a scheduler and call into it.
- `compute_hook`: receive notifications when a tenant shard is attached
somewhere new. Once we have locations for all the shards in a tenant,
emit an update to postgres configuration via the neon_local `LocalEnv`.
- `http`: HTTP stubs. These mostly map to methods on `Service`, but are
separated for readability and so that it'll be easier to adapt if/when
we switch to another RPC layer.
- `node`: structure that describes a pageserver node. The most important
attribute of a node is its availability: marking a node offline causes
tenant shards to reschedule away from it.
This PR is a precursor to implementing the full sharding service for
prod (#6342). What's the difference between this and a production-ready
controller for pageservers?
- JSON file persistence to be replaced with a database
- Limited observability.
- No concurrency limits. Marking a pageserver offline will try and
migrate every tenant to a new pageserver concurrently, even if there are
thousands.
- Very simple scheduler that only knows to pick the pageserver with
fewest tenants, and place secondary locations on a different pageserver
than attached locations: it does not try to place shards for the same
tenant on different pageservers. This matters little in tests, because
picking the least-used pageserver usually results in round-robin
placement.
- Scheduler state is rebuilt exhaustively for each operation that
requires a scheduler.
- Relies on neon_local mechanisms for updating postgres: in production
this would be something that flows through the real control plane.
---------
Co-authored-by: Arpad Müller <arpad-m@users.noreply.github.com>
## Problem
`black` is slow sometimes, we can replace it with `ruff format` (a new
feature in 0.1.2 [0]), which produces pretty similar to black style [1].
On my local machine (MacBook M1 Pro 16GB):
```
# `black` on main
$ hyperfine "BLACK_CACHE_DIR=/dev/null poetry run black ."
Benchmark 1: BLACK_CACHE_DIR=/dev/null poetry run black .
Time (mean ± σ): 3.131 s ± 0.090 s [User: 5.194 s, System: 0.859 s]
Range (min … max): 3.047 s … 3.354 s 10 runs
```
```
# `ruff format` on the current PR
$ hyperfine "RUFF_NO_CACHE=true poetry run ruff format"
Benchmark 1: RUFF_NO_CACHE=true poetry run ruff format
Time (mean ± σ): 300.7 ms ± 50.2 ms [User: 259.5 ms, System: 76.1 ms]
Range (min … max): 267.5 ms … 420.2 ms 10 runs
```
## Summary of changes
- Replace `black` with `ruff format` everywhere
- [0] https://docs.astral.sh/ruff/formatter/
- [1] https://docs.astral.sh/ruff/formatter/#black-compatibility
## Problem
This is a comment only change.
To ensure that our benchmarking results are fair we need to have correct
stats in catalog. Otherwise optimizer chooses seq scan instead of index
only scan for some queries. Added comment to run vacuum after data prep.
This is a precursor to:
- https://github.com/neondatabase/neon/pull/6185
While that PR contains big changes to neon_local and attachment_service,
this PR contains a few unrelated standalone changes generated while
working on that branch:
- Fix restarting a pageserver when it contains multiple shards for the
same tenant
- When using location_config api to attach a tenant, create its
timelines dir
- Update test paths where generations were previously optional to make
them always-on: this avoids tests having to spuriously assert that
attachment_service is not None in order to make the linter happy.
- Add a TenantShardId python implementation for subsequent use in test
helpers that will be made shard-aware
- Teach scrubber to read across shards when checking for layer
existence: this is a refactor to track the list of existent layers at
tenant-level rather than locally to each timeline. This is a precursor
to testing shard splitting.
## Problem
To understand differences in performance between neon, aurora and rds we
want to collect explain analyze plans and pg_stat_statements for
selected benchmarking runs
## Summary of changes
Add workflow input options to collect explain and pg_stat_statements for
benchmarking workflow
Co-authored-by: BodoBolero <bodobolero@gmail.com>
## Problem
Test deletes tenant and recreates with the same ID. The recreation bumps
generation number. This could lead to stale generation warnings in the
logs.
## Summary of changes
Handle this more gracefully by re-creating in the same generation that
the tenant was previously attached in.
We could also update the tenant delete path to have the attachment
service to drop tenant state on delete, but I like having it there: it
makes debug easier, and the only time it's a problem is when a test is
re-using a tenant ID after deletion.
## 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
## Problem
Since #5449 we enable generations in tests by default. Running
benchmarks was missed while merging that PR, and there was one that
needed updating.
## Summary of changes
Make test_bulk_insert use the proper generation-aware helper for tenant
creation.
This benchmark started failing after #5580 merged.
It was manually deleting some local content on a pageserver, and
expecting the behavior that the pageserver would "forget" about the
timeline on startup as a result. That is no longer our behavior:
pageservers use the remote storage as the source of truth.
Rather than having the test go manually delete things at all, we can
just delete the whole tenant via the pageserver API, and thereby start
from a clean situation.
## Problem
See https://github.com/neondatabase/company_projects/issues/111
## Summary of changes
Save logical replication files in WAL at compute and include them in
basebackup at pate server.
## 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: Arseny Sher <sher-ars@yandex.ru>
## Problem
- `test_heavy_write_workload` is flaky, and fails because of to
statement timeout
- `test_wal_lagging` is flaky and fails because of the default pytest
timeout (see https://github.com/neondatabase/neon/issues/5305)
## Summary of changes
- `test_heavy_write_workload`: increase statement timeout to 5 minutes
(from default 2 minutes)
- `test_wal_lagging`: increase pytest timeout to 600s (from default
300s)
## Problem
In many places in test code, paths are built manually from what
NeonEnv.tenant_dir and NeonEnv.timeline_dir could do.
## Summary of changes
1. NeonEnv.tenant_dir and NeonEnv.timeline_dir moved under class
NeonPageserver as the path they use is per-pageserver instance.
2. Used these everywhere to replace manual path building
Closes#5258
---------
Signed-off-by: Rahul Modpur <rmodpur2@gmail.com>
## Problem
`test_runner/performance/test_startup.py::test_startup` started to fail
more frequently because of the timeout.
Let's increase the timeout to see the failures on the perf dashboard.
## Summary of changes
- Increase timeout for`test_startup` from 600 to 900 seconds
## Problem
It's hard to find out which DB size we use for OLAP benchmarks (TPC-H in
particular).
This PR adds handling of `TEST_OLAP_SCALE` env var, which is get added
to a test name as a parameter.
This is required for performing larger periodic benchmarks.
## Summary of changes
- Handle `TEST_OLAP_SCALE` in
`test_runner/performance/test_perf_olap.py`
- Set `TEST_OLAP_SCALE` in `.github/workflows/benchmarking.yml` to a
TPC-H scale
## Problem
`pytest` 6 truncates error messages and this is not configured.
It's fixed in `pytest` 7, it prints the whole message (truncating limit
is higher) if `--verbose` is set (it's set on CI).
## Summary of changes
- `pytest` and `pytest` plugins are updated to their latest versions
- linters (`black` and `ruff`) are updated to their latest versions
- `mypy` and types are updated to their latest versions, new warnings
are fixed
- while we're here, allure updated its latest version as well
## Describe your changes
Right now the only criteria for image layer generation is number of
delta layer since last image layer.
If we have "stairs" layout of delta layers (see link below) then it can
happen that there a lot of old delta layers which can not be reclaimed
by GC because are not fully covered with image layers.
This PR constructs list of "wanted" image layers in GC (which image
layers are needed to be able to remove old layers)
and pass this list to compaction task which performs generation of image
layers.
So right now except deltas count criteria we also take in account
"wishes" of GC.
## Issue ticket number and link
See
https://neondb.slack.com/archives/C033RQ5SPDH/p1676914249982519
## 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.
---------
Co-authored-by: Joonas Koivunen <joonas@neon.tech>
Co-authored-by: Heikki Linnakangas <heikki@neon.tech>
We use the term "endpoint" in for compute Postgres nodes in the web UI
and user-facing documentation now. Adjust the nomenclature in the code.
This changes the name of the "neon_local pg" command to "neon_local
endpoint". Also adjust names of classes, variables etc. in the python
tests accordingly.
This also changes the directory structure so that endpoints are now
stored in:
.neon/endpoints/<endpoint id>
instead of:
.neon/pgdatadirs/tenants/<tenant_id>/<endpoint (node) name>
The tenant ID is no longer part of the path. That means that you
cannot have two endpoints with the same name/ID in two different
tenants anymore. That's consistent with how we treat endpoints in the
real control plane and proxy: the endpoint ID must be globally unique.
It was nice to have and useful at the time, but unfortunately the method
used to gather the profiling data doesn't play nicely with 'async'. PR
#3228 will turn 'get_page_at_lsn' function async, which will break the
profiling support. Let's remove it, and re-introduce some kind of
profiling later, using some different method, if we feel like we need it
again.
Temporarily disable `test_seqscans` for remote projects; they acquire
too much space and time. We can try to reenable it back after switching
to per-test projects.
Closes https://github.com/neondatabase/neon/issues/1984
Closes https://github.com/neondatabase/neon/pull/2830
A follow-up of https://github.com/neondatabase/neon/pull/2830, I've
noticed that benchmarks failed again due to out of space issues.
Removes most of the pageserver and safekeeper files from disk after
every pytest suite run.
```
$ poetry run pytest -vvsk "test_tenant_redownloads_truncated_file_on_startup[local_fs]"
# ...
$ du -h test_output/test_tenant_redownloads_truncated_file_on_startup\[local_fs\]
# ...
104K test_output/test_tenant_redownloads_truncated_file_on_startup[local_fs]
$ poetry run pytest -vvsk "test_tenant_redownloads_truncated_file_on_startup[local_fs]" --preserve-database-files
# ...
$ du -h test_output/test_tenant_redownloads_truncated_file_on_startup\[local_fs\]
# ...
123M test_output/test_tenant_redownloads_truncated_file_on_startup[local_fs]
```
Co-authored-by: Bojan Serafimov <bojan.serafimov7@gmail.com>
Increase table size four times to fix the following error:
```
______________________ test_seqscans[remote-100000-100-0] ______________________
test_runner/performance/test_seqscans.py:57: in test_seqscans
assert int(shared_buffers) < int(table_size)
E assert 536870912 < 181239808
E + where 536870912 = int(536870912)
E + and 181239808 = int(181239808)
```
536870912 / 181239808 ≈ 2.96
Add ClickBench benchmark, an OLAP-style benchmark, to Nightly
Benchmarks.
The full run of 43 queries on the original dataset takes more than 6h
(only 34 queries got processed on in 6h) on our default-sized compute.
Having this, currently, would mean having some really unstable tests
because of our regular deployment to staging/captest environment (see
https://github.com/neondatabase/cloud/issues/1872).
I've reduced the dataset size to the first 10^7 rows from the original
10^8 rows. Now it takes ~30-40 minutes to pass.
Ref https://github.com/ClickHouse/ClickBench/tree/main/aurora-postgresql
Ref https://benchmark.clickhouse.com/
