![]() ![]() execute ( "INSERT INTO test (num, data) VALUES ( %s, %s )", ( 100, "abc'def" )) # Query the database and obtain data as Python objects. execute ( """ CREATE TABLE test ( id serial PRIMARY KEY, num integer, data text) """ ) # Pass data to fill a query placeholders and let Psycopg perform # the correct conversion (no SQL injections!) cur. cursor () as cur : # Execute a command: this creates a new table cur. connect ( "dbname=test user=postgres" ) as conn : # Open a cursor to perform database operations with conn. # Note: the module name is psycopg, not psycopg3 import psycopg # Connect to an existing database with psycopg. Here is an interactive session showing some of the basic commands: , have roughly the same pattern of interaction. Other database adapters, such as the builtin The basic Psycopg usage is common to all the database adapters implementing Will fail if the implementation specified is not available. If you want to make sure that a specific implementation is used you canĮnvironment variable: importing the library In both cases you can specify which version of Psycopg to use using Libraries and tools are installed in the host machine). You can require a specific implementation, for instanceĪfter you have made sure that the prerequisites are met (e.g. If your project is a final application (e.g. ![]() Interface and leaves the possibility of choosing a specific implementation Make sure that your library will have the If your project is a library, add a dependency on You should probably specify one of the following: If you need to specify your project dependencies (for instance in a Which would allow to specify the release to install more precisely. In order to use the pool you must install the If you are not able to fulfill this requirement please follow the PostgreSQL command line client, to connect to the database. If your build prerequisites are in place you can run: To troubleshoot an extension build, for instance you mustīe able to read your compiler’s error message. PostgreSQL client development headers (e.g. In order to perform a local installation you need some prerequisites: Upgrade the libraries used by Psycopg 3 too. …) so that system upgrade of libraries will Library will include the speed-up C module and will be linked to the system Keep on reading if the above method didn’t work and you need a differentįor further information about the differences between the packages seeĪ "Local installation" results in a performing and maintainable library. The quickest way to start developing with Psycopg 3 is to install the binaryĭid Psycopg 3 install ok? Great! You can now move on to the If you use an unsupported system things may work (because, for instance, theĭatabase may use the same wire protocol as PostgreSQL) but we cannot guarantee MacOS hardware and releases not available on Github workflows. Unofficial Python distributions such as Conda The tests to verify the supported systems run inĪnything that is not tested there is not officially supported. ![]() Pip install - upgrade pip # upgrade pip to at least 20.3 pip install "psycopg" ![]()
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