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authorDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 17:41:08 +0000
committerDaniel Baumann <daniel.baumann@progress-linux.org>2024-05-04 17:41:08 +0000
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Adding upstream version 3.1.7.upstream/3.1.7upstream
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
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+.. _installation:
+
+Installation
+============
+
+In short, if you use a :ref:`supported system<supported-systems>`::
+
+ pip install --upgrade pip # upgrade pip to at least 20.3
+ pip install "psycopg[binary]"
+
+and you should be :ref:`ready to start <module-usage>`. Read further for
+alternative ways to install.
+
+
+.. _supported-systems:
+
+Supported systems
+-----------------
+
+The Psycopg version documented here has *official and tested* support for:
+
+- Python: from version 3.7 to 3.11
+
+ - Python 3.6 supported before Psycopg 3.1
+
+- PostgreSQL: from version 10 to 15
+- OS: Linux, macOS, Windows
+
+The tests to verify the supported systems run in `Github workflows`__:
+anything that is not tested there is not officially supported. This includes:
+
+.. __: https://github.com/psycopg/psycopg/actions
+
+- Unofficial Python distributions such as Conda;
+- Alternative PostgreSQL implementation;
+- macOS hardware and releases not available on Github workflows.
+
+If you use an unsupported system, things might work (because, for instance, the
+database may use the same wire protocol as PostgreSQL) but we cannot guarantee
+the correct working or a smooth ride.
+
+
+.. _binary-install:
+
+Binary installation
+-------------------
+
+The quickest way to start developing with Psycopg 3 is to install the binary
+packages by running::
+
+ pip install "psycopg[binary]"
+
+This will install a self-contained package with all the libraries needed.
+**You will need pip 20.3 at least**: please run ``pip install --upgrade pip``
+to update it beforehand.
+
+The above package should work in most situations. It **will not work** in
+some cases though.
+
+If your platform is not supported you should proceed to a :ref:`local
+installation <local-installation>` or a :ref:`pure Python installation
+<pure-python-installation>`.
+
+.. seealso::
+
+ Did Psycopg 3 install ok? Great! You can now move on to the :ref:`basic
+ module usage <module-usage>` to learn how it works.
+
+ Keep on reading if the above method didn't work and you need a different
+ way to install Psycopg 3.
+
+ For further information about the differences between the packages see
+ :ref:`pq-impl`.
+
+
+.. _local-installation:
+
+Local installation
+------------------
+
+A "Local installation" results in a performing and maintainable library. The
+library will include the speed-up C module and will be linked to the system
+libraries (``libpq``, ``libssl``...) so that system upgrade of libraries will
+upgrade the libraries used by Psycopg 3 too. This is the preferred way to
+install Psycopg for a production site.
+
+In order to perform a local installation you need some prerequisites:
+
+- a C compiler,
+- Python development headers (e.g. the ``python3-dev`` package).
+- PostgreSQL client development headers (e.g. the ``libpq-dev`` package).
+- The :program:`pg_config` program available in the :envvar:`PATH`.
+
+You **must be able** to troubleshoot an extension build, for instance you must
+be able to read your compiler's error message. If you are not, please don't
+try this and follow the `binary installation`_ instead.
+
+If your build prerequisites are in place you can run::
+
+ pip install "psycopg[c]"
+
+
+.. _pure-python-installation:
+
+Pure Python installation
+------------------------
+
+If you simply install::
+
+ pip install psycopg
+
+without ``[c]`` or ``[binary]`` extras you will obtain a pure Python
+implementation. This is particularly handy to debug and hack, but it still
+requires the system libpq to operate (which will be imported dynamically via
+`ctypes`).
+
+In order to use the pure Python installation you will need the ``libpq``
+installed in the system: for instance on Debian system you will probably
+need::
+
+ sudo apt install libpq5
+
+.. note::
+
+ The ``libpq`` is the client library used by :program:`psql`, the
+ PostgreSQL command line client, to connect to the database. On most
+ systems, installing :program:`psql` will install the ``libpq`` too as a
+ dependency.
+
+If you are not able to fulfill this requirement please follow the `binary
+installation`_.
+
+
+.. _pool-installation:
+
+Installing the connection pool
+------------------------------
+
+The :ref:`Psycopg connection pools <connection-pools>` are distributed in a
+separate package from the `!psycopg` package itself, in order to allow a
+different release cycle.
+
+In order to use the pool you must install the ``pool`` extra, using ``pip
+install "psycopg[pool]"``, or install the `psycopg_pool` package separately,
+which would allow to specify the release to install more precisely.
+
+
+Handling dependencies
+---------------------
+
+If you need to specify your project dependencies (for instance in a
+``requirements.txt`` file, ``setup.py``, ``pyproject.toml`` dependencies...)
+you should probably specify one of the following:
+
+- If your project is a library, add a dependency on ``psycopg``. This will
+ make sure that your library will have the ``psycopg`` package with the right
+ interface and leaves the possibility of choosing a specific implementation
+ to the end user of your library.
+
+- If your project is a final application (e.g. a service running on a server)
+ you can require a specific implementation, for instance ``psycopg[c]``,
+ after you have made sure that the prerequisites are met (e.g. the depending
+ libraries and tools are installed in the host machine).
+
+In both cases you can specify which version of Psycopg to use using
+`requirement specifiers`__.
+
+.. __: https://pip.pypa.io/en/stable/cli/pip_install/#requirement-specifiers
+
+If you want to make sure that a specific implementation is used you can
+specify the :envvar:`PSYCOPG_IMPL` environment variable: importing the library
+will fail if the implementation specified is not available. See :ref:`pq-impl`.