6/17/2023 0 Comments Pygresql![]() ![]() Setting up the Python virtual environment and installing a PostgreSQL. This means that if you switch from one module to another, you can reuse almost all of your existing code (the code sample below demonstrates how to do this). Both of these packages support Python's portable SQL database API. ResponseData = "SUCCESS: Executed SQL statements successfully. PyGreSQL: This package contains the pgdb module. ResponseData = "ERROR: Unexpected error: Couldn't connect to Aurora PostgreSQL instance."Ĭnd(event, context, cfnresponse.SUCCESS, responseData, "None")Ĭur.execute("create extension if not exists pg_stat_statements")Ĭur.execute("create extension if not exists pgaudit") General Installing with Pip Installing from a Binary Distribution Installing from Source What's New and History of Changes General PyGreSQL Programming Information First Steps with PyGreSQL The Classic PyGreSQL Interface The DB-API Compliant Interface A PostgreSQL Primer. Logger.error("ERROR: Unexpected error: Couldn't connect to Aurora PostgreSQL instance.") ("SUCCESS: Connection to RDS PG instance succeeded") The PyGreSQL package provides a module for developers to use when writing. My_connection = connect(database=DBNAME, host=HOSTPORT, user=DBUSER, password=DBPASS, sslmode='require', sslrootcert = 'rds-combined-ca-bundle.pem') PostgreSQL is an advanced Object-Relational database management system. # Connection to SSL enabled Aurora PG database using RDS root certificate PyGreSQL will be installed as three modules, a shared library called pg.so (on Linux) or a DLL called pg.pyd (on Windows), and two pure Python wrapper modules called pg.py and pgdb.py. # import DB-API 2.0 compliant module for PygreSQLįrom botocore.exceptions import ClientErrorĭBPASS = get_secret(SECRET_ARN,REGION_NAME) The current version of PyGreSQL has been tested with Python versions 2.7 and 3.5 to 3.10, and PostgreSQL versions 9.0 to 9.6 and 10 to 14. So leaving the following out here for anybody else having the same issue and trying to figure a solution. Most of the hits were for making psycopg2 to work with AWS Lambda. Searching google and stack overflow didn't return any relevant results. ![]() I struggled a bit to make PyGreSQL to work in AWS Lambda (Python 3.9) to connect to an Aurora PostgreSQL instance. ![]()
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