refactor: use new type LayerFileName when referring to layer file names in PathBuf/RemotePath
Before this patch, we would sometimes carry around plain file names in
`Path` types and/or awkwardly "rebase" paths to have a unified
representation of the layer file name between local and remote.
This patch introduces a new type `LayerFileName` which replaces the use
of `Path` / `PathBuf` / `RemotePath` in the `storage_sync2` APIs.
Instead of holding a string, it contains the parsed representation of
the image and delta file name.
When we need the file name, e.g., to construct a local path or
remote object key, we construct the name ad-hoc.
`LayerFileName` is also serde {Dese,Se}rializable, and in an initial
version of this patch, it was supposed to be used directly inside
`IndexPart`, replacing `RemotePath`.
However,
commit 3122f3282f
Ignore backup files (ones with .n.old suffix) in download_missing
fixed handling of `*.old` backup file names in IndexPart, and we need
to carry that behavior forward.
The solution is to remove `*.old` backup files names during
deserialization. When we re-serialize the IndexPart, the `*.old` file
will be gone.
This leaks the `.old` file in the remote storage, but makes it safe
to clean it up later.
There is additional churn by a preliminary refactoring that got squashed
into this change:
split off LayerMap's needs from trait Layer into super trait
That refactoring renames `Layer` to `PersistentLayer` and splits off a subset
of the functions into a super-trait called `Layer`.
The upser trait implements just the functions needed by `LayerMap`, whereas
`PersisentLayer` adds the context of the pageserver.
The naming is imperfect as some functions that reside in `PersistentLayer`
have nothing persistence-specific to it. But it's a step in the right direction.
Neon test runner
This directory contains integration tests.
Prerequisites:
- Correctly configured Python, see
/docs/sourcetree.md - Neon and Postgres binaries
- See the root README.md for build directions
If you want to test tests with test-only APIs, you would need to add
--features testingto Rust code build commands. For convenience, repository cargo config containsbuild_testingalias, that serves as a subcommand, adding the required feature flags. Usage example:cargo build_testing --releaseis equivalent tocargo build --features testing --release - Tests can be run from the git tree; or see the environment variables below to run from other directories.
- See the root README.md for build directions
If you want to test tests with test-only APIs, you would need to add
- The neon git repo, including the postgres submodule
(for some tests, e.g.
pg_regress)
Test Organization
Regression tests are in the 'regress' directory. They can be run in
parallel to minimize total runtime. Most regression test sets up their
environment with its own pageservers and safekeepers (but see
TEST_SHARED_FIXTURES).
'pg_clients' contains tests for connecting with various client libraries. Each client test uses a Dockerfile that pulls an image that contains the client, and connects to PostgreSQL with it. The client tests can be run against an existing PostgreSQL or Neon installation.
'performance' contains performance regression tests. Each test exercises a particular scenario or workload, and outputs measurements. They should be run serially, to avoid the tests interfering with the performance of each other. Some performance tests set up their own Neon environment, while others can be run against an existing PostgreSQL or Neon environment.
Running the tests
There is a wrapper script to invoke pytest: ./scripts/pytest.
It accepts all the arguments that are accepted by pytest.
Depending on your installation options pytest might be invoked directly.
Test state (postgres data, pageserver state, and log files) will
be stored under a directory test_output.
You can run all the tests with:
./scripts/pytest
If you want to run all the tests in a particular file:
./scripts/pytest test_pgbench.py
If you want to run all tests that have the string "bench" in their names:
./scripts/pytest -k bench
To run tests in parellel we utilize pytest-xdist plugin. By default everything runs single threaded. Number of workers can be specified with -n argument:
./scripts/pytest -n4
By default performance tests are excluded. To run them explicitly pass performance tests selection to the script:
./scripts/pytest test_runner/performance
Useful environment variables:
NEON_BIN: The directory where neon binaries can be found.
POSTGRES_DISTRIB_DIR: The directory where postgres distribution can be found.
Since pageserver supports several postgres versions, POSTGRES_DISTRIB_DIR must contain
a subdirectory for each version with naming convention v{PG_VERSION}/.
Inside that dir, a bin/postgres binary should be present.
DEFAULT_PG_VERSION: The version of Postgres to use,
This is used to construct full path to the postgres binaries.
Format is 2-digit major version nubmer, i.e. DEFAULT_PG_VERSION="14"
TEST_OUTPUT: Set the directory where test state and test output files
should go.
TEST_SHARED_FIXTURES: Try to re-use a single pageserver for all the tests.
NEON_PAGESERVER_OVERRIDES: add a ;-separated set of configs that will be passed as
--pageserver-config-override=${value} parameter values when neon_local cli is invoked
RUST_LOG: logging configuration to pass into Neon CLI
Let stdout, stderr and INFO log messages go to the terminal instead of capturing them:
./scripts/pytest -s --log-cli-level=INFO ...
(Note many tests capture subprocess outputs separately, so this may not
show much.)
Exit after the first test failure:
./scripts/pytest -x ...
(there are many more pytest options; run pytest -h to see them.)
Writing a test
Every test needs a Neon Environment, or NeonEnv to operate in. A Neon Environment is like a little cloud-in-a-box, and consists of a Pageserver, 0-N Safekeepers, and compute Postgres nodes. The connections between them can be configured to use JWT authentication tokens, and some other configuration options can be tweaked too.
The easiest way to get access to a Neon Environment is by using the neon_simple_env
fixture. The 'simple' env may be shared across multiple tests, so don't shut down the nodes
or make other destructive changes in that environment. Also don't assume that
there are no tenants or branches or data in the cluster. For convenience, there is a
branch called empty, though. The convention is to create a test-specific branch of
that and load any test data there, instead of the 'main' branch.
For more complicated cases, you can build a custom Neon Environment, with the neon_env
fixture:
def test_foobar(neon_env_builder: NeonEnvBuilder):
# Prescribe the environment.
# We want to have 3 safekeeper nodes, and use JWT authentication in the
# connections to the page server
neon_env_builder.num_safekeepers = 3
neon_env_builder.set_pageserver_auth(True)
# Now create the environment. This initializes the repository, and starts
# up the page server and the safekeepers
env = neon_env_builder.init_start()
# Run the test
...
For more information about pytest fixtures, see https://docs.pytest.org/en/stable/fixture.html
At the end of a test, all the nodes in the environment are automatically stopped, so you
don't need to worry about cleaning up. Logs and test data are preserved for the analysis,
in a directory under ../test_output/<testname>
Before submitting a patch
Ensure that you pass all obligatory checks.
Also consider:
- Writing a couple of docstrings to clarify the reasoning behind a new test.
- Adding more type hints to your code to avoid
Any, especially:- For fixture parameters, they are not automatically deduced.
- For function arguments and return values.