This PR adds a plugin that automatically reruns (up to 3 times) flaky
tests. Internally, it uses data from `TEST_RESULT_CONNSTR` database and
`pytest-rerunfailures` plugin.
As the first approximation we consider the test flaky if it has failed on
the main branch in the last 10 days.
Flaky tests are fetched by `scripts/flaky_tests.py` script (it's
possible to use it in a standalone mode to learn which tests are flaky),
stored to a JSON file, and then the file is passed to the pytest plugin.
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.
Add `test_forward_compatibility`, which checks if it's going to
be possible to roll back a release to the previous version.
The test uses artifacts (Neon & Postgres binaries) from the previous
release to start Neon on the repo created by the current version. It
performs exactly the same checks as `test_backward_compatibility` does.
Single `ALLOW_BREAKING_CHANGES` env var got replaced by
`ALLOW_BACKWARD_COMPATIBILITY_BREAKAGE` &
`ALLOW_FORWARD_COMPATIBILITY_BREAKAGE` and can be set by `backward
compatibility breakage` and `forward compatibility breakage` labels
respectively.
This PR replaces the following global variables in the test framework
with fixtures to make tests more configurable. I mainly need this for
the forward compatibility tests (draft in
https://github.com/neondatabase/neon/pull/2766).
```
base_dir
neon_binpath
pg_distrib_dir
top_output_dir
default_pg_version (this one got replaced with a fixture named pg_version)
```
Also, this PR adds more `Path` type where the code implies it.
For better ergonomics. I always found it weird that we used UUID to
actually mean a tenant or timeline ID. It worked because it happened
to have the same length, 16 bytes, but it was hacky.
Newer version of mypy fixes buggy error when trying to update only boto3 stubs.
However it brings new checks and starts to yell when we index into
cusror.fetchone without checking for None first. So this introduces a wrapper
to simplify quering for scalar values. I tried to use cursor_factory connection
argument but without success. There can be a better way to do that,
but this looks the simplest
Ref #1902.
- Track the layered timeline's `physical_size` using `pageserver_current_physical_size` metric when updating the layer map.
- Report the local timeline's `physical_size` in timeline GET APIs.
- Add `include-non-incremental-physical-size` URL flag to also report the local timeline's `physical_size_non_incremental` (similar to `logical_size_non_incremental`)
- Add a `UIntGaugeVec` and `UIntGauge` to represent `u64` prometheus metrics
Co-authored-by: Dmitry Rodionov <dmitry@neon.tech>
Use timestamp->LSN mapping instead of file modification time.
Fix 'latest_gc_cutoff_lsn' - set it to the minimum of pitr_cutoff and gc_cutoff.
Add new test: test_pitr_gc
wal_keep_size is already set to 0 in our cloud setup, but we don't use this value in tests. This commit fixes wal_keep_size in control_plane and adds tests for WAL recycling and lagging safekeepers.
Safekeers now publish to and pull from etcd per-timeline data. Immediate goal is
WAL truncation, for which every safekeeper must know remote_consistent_lsn; the
next would be callmemaybe replacement.
Adds corresponding '--broker' argument to safekeeper and ability to run etcd in
tests.
Adds test checking remote_consistent_lsn is indeed communicated.
This is a backwards-incompatible change. The new pageserver cannot
read repositories created with an old pageserver binary, or vice
versa.
Simplify Repository to a value-store
------------------------------------
Move the responsibility of tracking relation metadata, like which
relations exist and what are their sizes, from Repository to a new
module, pgdatadir_mapping.rs. The interface to Repository is now a
simple key-value PUT/GET operations.
It's still not any old key-value store though. A Repository is still
responsible from handling branching, and every GET operation comes
with an LSN.
Mapping from Postgres data directory to keys/values
---------------------------------------------------
All the data is now stored in the key-value store. The
'pgdatadir_mapping.rs' module handles mapping from PostgreSQL objects
like relation pages and SLRUs, to key-value pairs.
The key to the Repository key-value store is a Key struct, which
consists of a few integer fields. It's wide enough to store a full
RelFileNode, fork and block number, and to distinguish those from
metadata keys.
'pgdatadir_mapping.rs' is also responsible for maintaining a
"partitioning" of the keyspace. Partitioning means splitting the
keyspace so that each partition holds a roughly equal number of keys.
The partitioning is used when new image layer files are created, so
that each image layer file is roughly the same size.
The partitioning is also responsible for reclaiming space used by
deleted keys. The Repository implementation doesn't have any explicit
support for deleting keys. Instead, the deleted keys are simply
omitted from the partitioning, and when a new image layer is created,
the omitted keys are not copied over to the new image layer. We might
want to implement tombstone keys in the future, to reclaim space
faster, but this will work for now.
Changes to low-level layer file code
------------------------------------
The concept of a "segment" is gone. Each layer file can now store an
arbitrary range of Keys.
Checkpointing, compaction
-------------------------
The background tasks are somewhat different now. Whenever
checkpoint_distance is reached, the WAL receiver thread "freezes" the
current in-memory layer, and creates a new one. This is a quick
operation and doesn't perform any I/O yet. It then launches a
background "layer flushing thread" to write the frozen layer to disk,
as a new L0 delta layer. This mechanism takes care of durability. It
replaces the checkpointing thread.
Compaction is a new background operation that takes a bunch of L0
delta layers, and reshuffles the data in them. It runs in a separate
compaction thread.
Deployment
----------
This also contains changes to the ansible scripts that enable having
multiple different pageservers running at the same time in the staging
environment. We will use that to keep an old version of the pageserver
running, for clusters created with the old version, at the same time
with a new pageserver with the new binary.
Author: Heikki Linnakangas
Author: Konstantin Knizhnik <knizhnik@zenith.tech>
Author: Andrey Taranik <andrey@zenith.tech>
Reviewed-by: Matthias Van De Meent <matthias@zenith.tech>
Reviewed-by: Bojan Serafimov <bojan@zenith.tech>
Reviewed-by: Konstantin Knizhnik <knizhnik@zenith.tech>
Reviewed-by: Anton Shyrabokau <antons@zenith.tech>
Reviewed-by: Dhammika Pathirana <dham@zenith.tech>
Reviewed-by: Kirill Bulatov <kirill@zenith.tech>
Reviewed-by: Anastasia Lubennikova <anastasia@zenith.tech>
Reviewed-by: Alexey Kondratov <alexey@zenith.tech>
This introduces new timeline field latest_gc_cutoff. It is updated
before each gc iteration. New check is added to branch_timelines to
prevent branch creation with start point less than latest_gc_cutoff.
Also this adds a check to get_page_at_lsn which asserts that lsn at
which the page is requested was not garbage collected. This check
currently is triggered for readonly nodes which are pinned to specific
lsn and because they are not tracked in pageserver garbage collection
can remove data that still might be referenced. This is a bug and will
be fixed separately.
* Add yapf run to CircleCI
* Pin yapf version
* Enable `SPLIT_ALL_TOP_LEVEL_COMMA_SEPARATED_VALUES` setting
* Reformat all existing code with slight manual adjustments
* test_runner/README: note that yapf is forced
* Use logging in python tests
* Use f-strings for logs
* Don't log test output while running
* Use only pytest logging handler
* Add more info about pytest logging
* Send ProposerGreeting manually in tests
* Move test_sync_safekeepers to test_wal_acceptor.py
* Capture test_sync_safekeepers output
* Add comment for handle_json_ctrl
* Save captured output in CI
New command has been added to append specially crafted records in safekeeper WAL. This command takes json for append, encodes LogicalMessage based on json fields, and processes new AppendRequest to append and commit WAL in safekeeper.
Python test starts up walkeepers and creates config for walproposer, then appends WAL and checks --sync-safekeepers works without errors. This test is simplest one, more useful test cases (like in #545) for different setups will be added soon.
In this test safekeepers are restarted one by one, while bank transactions
are executed and validated in the background. Bank transactions consist of
balance transfers and log writes. In the end balance sum should remain the
same and there should be progress from every client, when 2 of 3 safekeeper
nodes are up.
Support is done via pytest-xdist plugin.
To use the feature add -n<concurrency> to pytest invocation
e.g. pytest -n8 to run 8 tests in parallel.
Changes in code are mostly about ports assigning. Previously port for
pageserver was hardcoded without the ability to override through zenith
cli and ports for started compute nodes were calculated twice, in zenith
cli and in test code. Now zenith cli supports port arguments for
pageserver and compute nodes to be passed explicitly.
Tests are modified in such a way that each worker gets a non overlapping
port range which can be configured and now contains 100 ports. These
ports are distributed to test services (pageserver, wal acceptors,
compute nodes) so they can work independently.
It's not realistic to enable full-blown type checks
within test_runner's codebase, since the amount of
warnings revealed by mypy is overwhelming.
Tests are supposed to be easy to use, so we can't
cripple everybody's workflow for the sake of imaginary benefit.
Ultimately, the purpose of this attempt is three-fold:
* Facilitate code navigation when paired with python-language-server.
* Make method signatures apparent to a fellow programmer.
* Occasionally catch some obvious type errors.
Use pytest to manage background services, paths, and environment
variables.
Benefits:
- Tests are a little easier to write.
- Cleanup is more reliable. You can CTRL-C a test and it will still shut
down gracefully. If you manually start a conflicting process, the test
fixtures will detect this and abort at startup.
- Don't need to worry about remembering '--test-threads=1'
- Output of sub-processes can be captured to files.
- Test fixtures configure everything to operate under a single test
output directory, making it easier to capture logs in CI.
- Detects all the necessary paths if run from the git root, but can also
run from arbitrary paths by setting environment variables.
There is also a deliberately broken test (test_broken.py) that can be
used to test whether the test fixtures properly clean up after
themselves. It won't run by default; the comment at the top explains how
to enable it.
