pybigquery | SQLAlchemy dialect for BigQuery | SQL Database library

by mxmzdlv Python Version: v0.5.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | pybigquery Summary

pybigquery is a Python library typically used in Database, SQL Database applications. pybigquery has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has high support. You can install using 'pip install pybigquery' or download it from GitHub, PyPI.

SQLAlchemy dialect for BigQuery

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Quality

Security

License

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Support

pybigquery has a highly active ecosystem.

It has 135 star(s) with 44 fork(s). There are 5 watchers for this library.

It had no major release in the last 12 months.

There are 21 open issues and 24 have been closed. On average issues are closed in 68 days. There are 2 open pull requests and 0 closed requests.

It has a negative sentiment in the developer community.

The latest version of pybigquery is v0.5.0

Quality

pybigquery has 0 bugs and 0 code smells.

Security

pybigquery has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

pybigquery code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

pybigquery 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

pybigquery releases are available to install and integrate.

Deployable package is available in PyPI.

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

pybigquery saves you 433 person hours of effort in developing the same functionality from scratch.

It has 1170 lines of code, 107 functions and 10 files.

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

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pybigquery Key Features

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pybigquery Examples and Code Snippets

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Community Discussions

Trending Discussions on pybigquery

Python3 Can't load plugin: sqlalchemy.dialects:mysql.pymysql

SQLAlchemy ORM conversion to Pandas DataFrame with Bigquery

QUESTION

Python3 Can't load plugin: sqlalchemy.dialects:mysql.pymysql

Asked 2021-Jan-31 at 15:30

I'm trying to connect to my database with sqlAlchemy and get the error Can't load plugin: sqlalchemy.dialects:mysql.pymysql. The script worked before and I didn't change anything, tho I can't connect to the db.

I'm importing the libraries:

...

ANSWER

Answered 2021-Jan-31 at 14:42

Are you sure that you need to do from sqlalchemy import * ? You need to be more specific:

which python and sqlalchemy version are you using?

Source https://stackoverflow.com/questions/65979568

QUESTION

SQLAlchemy ORM conversion to Pandas DataFrame with Bigquery

Asked 2020-Apr-20 at 10:12

Extension of this question, which describes the process on how to use the pandas.read_sql function from an ORM to get the results of a query directly in a pandas DataFrame.

What I would like would be to be able to do the exact same thing while using SQLAlchemy and pybigquery

First off I define my session this way:

...

ANSWER

Answered 2020-Apr-20 at 10:12

From @TimSwast's comment:

Using regular query statement with the pandas.read_sql actually works ! So this would look like this:

Source https://stackoverflow.com/questions/61253952

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

Vulnerabilities

No vulnerabilities reported

Install pybigquery

You can install using 'pip install pybigquery' or download it from GitHub, PyPI.
You can use pybigquery 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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