Psycopg 2.9 has been released!
This is a relatively small release compared to previous major
releases. However the creation of the packages took a lot of effort.
The previously used CI system now has reduced support for free
software projects - it was decided that package building should be
moved to GitHub Actions.
Packaging has also become more complex because of the evolution of the
Python packaging standards and the need to support multiple
architectures (Intel, ARM, PPC...).
Maintaining a project such as Psycopg requires a lot of effort. For
this reason, we are extremely grateful to all our sponsors
<https://www.psycopg.org/sponsors/> who are enabling the maintenance
and development of Psycopg. Thank you very much! <3
What’s new in psycopg 2.9
- "with connection" starts a transaction on autocommit transactions
too (ticket #941).
- Timezones with fractional minutes are supported on Python 3.7 and
following (ticket #1272).
- Escape table and column names in 'copy_from()' and 'copy_to()'.
- Connection exceptions with sqlstate '08XXX' reclassified as
'OperationalError' (a subclass of the previously used 'DatabaseError')
(ticket #1148).
- Include library dirs required from libpq to work around MacOS build
problems (ticket #1200).
Other changes:
- Dropped support for Python 2.7, 3.4, 3.5 (ticket #1198, ticket
#1000, ticket #1197).
- Dropped support for mx.DateTime.
- Use 'datetime.timezone' objects by default in 'datetime' objects
instead of 'FixedOffsetTimezone'.
- The 'psycopg2.tz' module is deprecated and scheduled to be dropped
in the next major release.
- Provide PEP 599 wheels packages ('manylinux2014' tag) for i686 and
x86_64 platforms.
- Provide PEP 600 wheels packages ('manylinux_2_24' tag) for aarch64
and ppc64le platforms.
- Wheel package compiled against OpenSSL 1.1.1k and PostgreSQL 13.3.
- Build system for Linux/MacOS binary packages moved to GitHub Actions.
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Psycopg is the most popular PostgreSQL adapter for the Python
programming language. At its core it fully implements the Python DB
API 2.0 specifications. Several extensions allow access to many of the
features offered by PostgreSQL.