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Source tree layout

Below you will find a brief overview of each subdir in the source tree in alphabetical order.

/control_plane:

Local control plane. Functions to start, configure and stop pageserver and postgres instances running as a local processes. Intended to be used in integration tests and in CLI tools for local installations.

/docs:

Documentation of the Zenith features and concepts. Now it is mostly dev documentation.

/monitoring:

TODO

/pageserver:

Zenith storage service. The pageserver has a few different duties:

  • Store and manage the data.
  • Generate a tarball with files needed to bootstrap ComputeNode.
  • Respond to GetPage@LSN requests from the Compute Nodes.
  • Receive WAL from the WAL service and decode it.
  • Replay WAL that's applicable to the chunks that the Page Server maintains

For more detailed info, see /pageserver/README

/proxy:

Postgres protocol proxy/router. This service listens psql port, can check auth via external service and create new databases and accounts (control plane API in our case).

/test_runner:

Integration tests, written in Python using the pytest framework.

/vendor/postgres:

PostgreSQL source tree, with the modifications needed for Neon.

/vendor/postgres/contrib/neon:

PostgreSQL extension that implements storage manager API and network communications with remote page server.

/vendor/postgres/contrib/neon_test_utils:

PostgreSQL extension that contains functions needed for testing and debugging.

/safekeeper:

The zenith WAL service that receives WAL from a primary compute nodes and streams it to the pageserver. It acts as a holding area and redistribution center for recently generated WAL.

For more detailed info, see /safekeeper/README

/workspace_hack: The workspace_hack crate exists only to pin down some dependencies.

We use cargo-hakari for automation.

/zenith

Main entry point for the 'zenith' CLI utility. TODO: Doesn't it belong to control_plane?

/libs: Unites granular neon helper crates under the hood.

/libs/postgres_ffi:

Utility functions for interacting with PostgreSQL file formats. Misc constants, copied from PostgreSQL headers.

/libs/utils: Generic helpers that are shared between other crates in this repository. A subject for future modularization.

/libs/metrics: Helpers for exposing Prometheus metrics from the server.

Using Python

Note that Debian/Ubuntu Python packages are stale, as it commonly happens, so manual installation of dependencies is not recommended.

A single virtual environment with all dependencies is described in the single Pipfile.

Prerequisites

  • Install Python 3.9 (the minimal supported version) or greater.
    • Our setup with poetry should work with newer python versions too. So feel free to open an issue with a c/test-runner label if something doesn't work as expected.
    • If you have some trouble with other version you can resolve it by installing Python 3.9 separately, via pyenv or via system package manager e.g.: 
      # In Ubuntu
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python3.9
  • Install poetry
    • Exact version of poetry is not important, see installation instructions available at poetry's website`.
  • Install dependencies via ./scripts/pysync.
    • Note that CI uses specific Python version (look for PYTHON_VERSION here) so if you have different version some linting tools can yield different result locally vs in the CI.
    • You can explicitly specify which Python to use by running poetry env use /path/to/python, e.g. poetry env use python3.9. This may also disable the The currently activated Python version X.Y.Z is not supported by the project warning.

Run poetry shell to activate the virtual environment. Alternatively, use poetry run to run a single command in the venv, e.g. poetry run pytest.

Obligatory checks

We force code formatting via yapf and type hints via mypy. Run the following commands in the repository's root (next to setup.cfg):

poetry run yapf -ri .  # All code is reformatted
poetry run mypy .  # Ensure there are no typing errors

WARNING: do not run mypy from a directory other than the root of the repository. Otherwise it will not find its configuration.

Also consider:

  • 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.

Changing dependencies

To add new package or change an existing one you can use poetry add or poetry update or edit pyproject.toml manually. Do not forget to run poetry lock in the latter case.

More details are available in poetry's documentation.