Files
neon/test_runner/README.md
Heikki Linnakangas 66ec135676 Refactor pytest fixtures
Instead of having a lot of separate fixtures for setting up the page
server, the compute nodes, the safekeepers etc., have one big ZenithEnv
object that encapsulates the whole environment. Every test either uses
a shared "zenith_simple_env" fixture, which contains the default setup
of a pageserver with no authentication, and no safekeepers. Tests that
want to use safekeepers or authentication set up a custom test-specific
ZenithEnv fixture.

Gathering information about the whole environment into one object makes
some things simpler. For example, when a new compute node is created,
you no longer need to pass the 'wal_acceptors' connection string as
argument to the 'postgres.create_start' function. The 'create_start'
function fetches that information directly from the ZenithEnv object.
2021-10-25 14:14:47 +03:00

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## Zenith test runner
This directory contains integration tests.
Prerequisites:
- Python 3.7 or later
- Development headers may also be needed to build `psycopg2` from source.
- Python 3.7 is recommended if you want to update tests.
- Dependencies: install them via `pipenv install`. Note that Debian/Ubuntu
packages are stale, as it commonly happens, so manual installation is not
recommended.
Exact version of `pipenv` is not important unless you change dependencies.
Run `pipenv shell` to activate the venv or use `pipenv run` to run a single
command in the venv, e.g. `pipenv run pytest`.
- Zenith and Postgres binaries
- See the root README.md for build directions
- Tests can be run from the git tree; or see the environment variables
below to run from other directories.
- The zenith git repo, including the postgres submodule
(for some tests, e.g. pg_regress)
### Test Organization
The tests are divided into a few batches, such that each batch takes roughly
the same amount of time. The batches can be run in parallel, to minimize total
runtime. Currently, there are only two batches:
- test_batch_pg_regress: Runs PostgreSQL regression tests
- test_others: All other tests
### Running the tests
Because pytest will search all subdirectories for tests, it's easiest to
run the tests from within the `test_runner` directory.
Test state (postgres data, pageserver state, and log files) will
be stored under a directory `test_output`.
You can run all the tests with:
`pytest`
If you want to run all the tests in a particular file:
`pytest test_pgbench.py`
If you want to run all tests that have the string "bench" in their names:
`pytest -k bench`
Useful environment variables:
`ZENITH_BIN`: The directory where zenith binaries can be found.
`POSTGRES_DISTRIB_DIR`: The directory where postgres distribution can be found.
`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.
Let stdout, stderr and `INFO` log messages go to the terminal instead of capturing them:
`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:
`pytest -x ...`
(there are many more pytest options; run `pytest -h` to see them.)
### Writing a test
Every test needs a Zenith Environment, or ZenithEnv to operate in. A Zenith 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 Zenith Environment is by using the `zenith_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 Zenith Environment, with the `zenith_env`
fixture:
```python
def test_foobar(zenith_env_builder: ZenithEnvBuilder):
# Prescribe the environment.
# We want to have 3 safekeeper nodes, and use JWT authentication in the
# connections to the page server
zenith_env_builder.num_safekeepers = 3
zenith_env_builder.set_pageserver_auth(True)
# Now create the environment. This initializes the repository, and starts
# up the page server and the safekeepers
env = zenith_env_builder.init()
# 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
#### Obligatory checks
Install dev dependencies via `pipenv --python 3.7 install --dev` (better)
or `pipenv install --dev` (if you don't have Python 3.7 and don't need to change dependencies).
We force code formatting via yapf and type hints via mypy.
Run the following commands in the `test_runner/` directory:
```bash
pipenv run yapf -ri . # All code is reformatted
pipenv run mypy . # Ensure there are no typing errors
```
#### Advisable actions
* Writing a couple of docstrings to clarify the reasoning behind a new test.
* Running `flake8` (or a linter of your choice, e.g. `pycodestyle`) and fixing possible defects, if any.
* 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.
#### Changing dependencies
You have to update `Pipfile.lock` if you have changed `Pipfile`:
```bash
pipenv --python 3.7 install --dev # Re-create venv for Python 3.7 and install recent pipenv inside
pipenv run pipenv --version # Should be at least 2021.5.29
pipenv run pipenv lock # Regenerate Pipfile.lock
```
As the minimal supported version is Python 3.7 and we use it in CI,
you have to use a Python 3.7 environment when updating `Pipfile.lock`.
Otherwise some back-compatibility packages will be missing.
It is also important to run recent `pipenv`.
Older versions remove markers from `Pipfile.lock`.
If you don't have Python 3.7, you should install it and its headers (for `psycopg2`)
separately, e.g.:
```bash
# In Ubuntu
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python3.7 python3.7-dev
```