django-postgrespool | Use https | SQL Database library

by heroku-python Python Version: v0.3.1 License: MIT

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kandi X-RAY | django-postgrespool Summary

django-postgrespool is a Python library typically used in Database, SQL Database, PostgresSQL applications. django-postgrespool has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

[DEPRECATED] Use https://pypi.org/project/django-postgrespool2/ instead

Support

Quality

Security

License

Reuse

Support

django-postgrespool has a low active ecosystem.

It has 326 star(s) with 63 fork(s). There are 11 watchers for this library.

It had no major release in the last 6 months.

There are 6 open issues and 11 have been closed. On average issues are closed in 602 days. There are 7 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of django-postgrespool is v0.3.1

Quality

django-postgrespool has 0 bugs and 0 code smells.

Security

django-postgrespool has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

django-postgrespool code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

django-postgrespool is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

django-postgrespool releases are not available. You will need to build from source code and install.

Build file is available. You can build the component from source.

django-postgrespool saves you 36 person hours of effort in developing the same functionality from scratch.

It has 98 lines of code, 8 functions and 3 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed django-postgrespool and discovered the below as its top functions. This is intended to give you an instant insight into django-postgrespool implemented functionality, and help decide if they suit your requirements.

Commit the database
Returns True if the connection is reused
Roll back the database

Get all kandi verified functions for this library.

django-postgrespool Key Features

No Key Features are available at this moment for django-postgrespool.

django-postgrespool Examples and Code Snippets

No Code Snippets are available at this moment for django-postgrespool.

Community Discussions

Trending Discussions on django-postgrespool

Database connection object is not callable exception thrown with Python Django SQL Alchemy database pooling. Why?

QUESTION

Database connection object is not callable exception thrown with Python Django SQL Alchemy database pooling. Why?

Asked 2021-Jun-15 at 02:16

What I'm trying to achieve

Create a database connection pool in Django. The connection pool is connected to a PostgreSQL database by using SQLAlchemy's connection pooling with django-postgrespool2.

Thrown exception

'psycopg2.extensions.connection' object is not callable is thrown when running the following line of code poolConnection = dbPool.connect(). Printing the dbPool object and type displays

Code

Database helper class which creates the connection to the PostgreSQL database and creates the connection pool:

...

ANSWER

Answered 2021-Mar-09 at 07:29

According to the QueuePool docs the first argument should be 'a callable function that returns a DB-API connection object'.

You've passed the result of the called function to the QueuePool object as the first argument instead of the function itself. Remove the parenthesis to solve the issue:

Source https://stackoverflow.com/questions/66539439

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install django-postgrespool

You can download it from GitHub.
You can use django-postgrespool like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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