Psycopg 2.7.4 released
От | Daniele Varrazzo |
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Тема | Psycopg 2.7.4 released |
Дата | |
Msg-id | CA+mi_8b=O+n9T4uupr22KqLqApn4EBthXSW51h=p5f3u3nvsiw@mail.gmail.com обсуждение исходный текст |
Ответы |
Re: Psycopg 2.7.4 released
Re: Psycopg 2.7.4 released Re: Psycopg 2.7.4 released Re: Psycopg 2.7.4 released |
Список | psycopg |
Good afternoon, we have released Psycopg version 2.7.4. You will find a few bug fixes in the release, and an important change in the Wheels packages. In short, installing the 'psycopg2' package from binary will now raise a warning on import: if you still want to install from binary you should now install the 'psycopg2-binary' package (this is only the package name to ask pip, no change is required to the Python import statements). All the details of the story are available at: <http://initd.org/psycopg/articles/2018/02/08/psycopg-274-released/>. This is the summary of the bugs fixed in this release: - Moving away from installing the wheel package by default. Packages installed from wheel raise a warning on import. Added package 'psycopg2-binary' to install from wheel instead (ticket #543). - Convert fields names into valid Python identifiers in 'NamedTupleCursor' (ticket #211). - Fixed Solaris 10 support (ticket #532). - 'cursor.mogrify()' can be called on closed cursors (ticket #579). - Fixed setting session characteristics in corner cases on autocommit connections (ticket #580). - Fixed 'MinTimeLoggingCursor' on Python 3 (ticket #609). - Fixed parsing of array of points as floats (ticket #613). - Fixed '__libpq_version__' building with libpq >= 10.1 (ticket 632). - Fixed 'rowcount' after 'executemany()' with 'RETURNING' statements (ticket 633). - Fixed compatibility problem with pypy3 (ticket #649). - Wheel packages compiled against PostgreSQL 10.1 libpq and OpenSSL 1.0.2n. - Wheel packages for Python 2.6 no more available (support dropped from wheel building infrastructure). Happy hacking! ---- 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.
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