Skip to main content

Google Cloud Bigquery Logging API client library

Project description

stable pypi versions

BigQuery Logging Protos:

Quick Start

In order to use this library, you first need to go through the following steps:

  1. Select or create a Cloud Platform project.

  2. Enable billing for your project.

  3. Enable the BigQuery Logging Protos.

  4. Setup Authentication.

Installation

Install this library in a virtual environment using venv. venv is a tool that creates isolated Python environments. These isolated environments can have separate versions of Python packages, which allows you to isolate one project’s dependencies from the dependencies of other projects.

With venv, it’s possible to install this library without needing system install permissions, and without clashing with the installed system dependencies.

Code samples and snippets

Code samples and snippets live in the samples/ folder.

Supported Python Versions

Our client libraries are compatible with all current active and maintenance versions of Python.

Python >= 3.7

Unsupported Python Versions

Python <= 3.6

If you are using an end-of-life version of Python, we recommend that you update as soon as possible to an actively supported version.

Mac/Linux

python3 -m venv <your-env>
source <your-env>/bin/activate
pip install google-cloud-bigquery-logging

Windows

py -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-bigquery-logging

Next Steps

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

google-cloud-bigquery-logging-1.4.0.tar.gz (17.8 kB view details)

Uploaded Source

Built Distribution

google_cloud_bigquery_logging-1.4.0-py2.py3-none-any.whl (20.1 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file google-cloud-bigquery-logging-1.4.0.tar.gz.

File metadata

File hashes

Hashes for google-cloud-bigquery-logging-1.4.0.tar.gz
Algorithm Hash digest
SHA256 e2997b713f1b2f2d32de7b58b75a8ed36eca17bca8907ba7e651991d69c1914c
MD5 fd4d72ca28348607ddd116d947fd8b72
BLAKE2b-256 61d913e96a141353d3b911175b03bfae0fb86b459396d09e43a9511606f7bba6

See more details on using hashes here.

Provenance

File details

Details for the file google_cloud_bigquery_logging-1.4.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for google_cloud_bigquery_logging-1.4.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 8d17967bc25380345fb44f7f0b87e75ede4e844239d14f202c009d1c74311b17
MD5 1b3ed646685057a7cb3aff942b165aff
BLAKE2b-256 cd6d8e8018cea465c54501119d4aa35a88f7112cf5b5cb32a17a824a1592b559

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page