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-1.4.4.tar.gz (17.9 kB view details)

Uploaded Source

Built Distribution

google_cloud_bigquery_logging-1.4.4-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-1.4.4.tar.gz.

File metadata

File hashes

Hashes for google-cloud-bigquery-logging-1.4.4.tar.gz
Algorithm Hash digest
SHA256 b7abbf3e4107ec10bbd7d42fec44be54a8649cd4c26117d9decad848cb51fa4a
MD5 830631e9e5915d6478d6bbd1e3dab819
BLAKE2b-256 5a61e5ee6628ba286d8054fd1ecdb8f2947be0401b39ddac3e373668fef866c8

See more details on using hashes here.

Provenance

File details

Details for the file google_cloud_bigquery_logging-1.4.4-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for google_cloud_bigquery_logging-1.4.4-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 586f24fee51608a12a2f6e6de32d74dc4fefb41958673424049e023f993b46b0
MD5 24f977789bb92e3c8bb97f5b30cb188e
BLAKE2b-256 13b8e863cf5bf8d09b116fbbfdf65c1b5ac2884f378e6dbab11d364c1b0d5bae

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