Skip to main content

Google Cloud Bigquery Logging API client library

Project description

stable pypi versions

BigQuery Logging Protos API:

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 API.

  4. Setup Authentication.

Installation

Install this library in a virtualenv using pip. virtualenv is a tool to create isolated Python environments. The basic problem it addresses is one of dependencies and versions, and indirectly permissions.

With virtualenv, 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

pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-bigquery-logging

Windows

pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe 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-1.1.0.tar.gz (17.4 kB view details)

Uploaded Source

Built Distribution

google_cloud_bigquery_logging-1.1.0-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-1.1.0.tar.gz.

File metadata

File hashes

Hashes for google-cloud-bigquery-logging-1.1.0.tar.gz
Algorithm Hash digest
SHA256 4c62b9821c21541374541323f38263b78829b17402f87280af9c8fef9e8f6c33
MD5 ccfc71ad863ac79efb9141bfd169855f
BLAKE2b-256 5cc1c2b59064a9589264dda84763f4f26223b1ef033e87aadda655c5f4989588

See more details on using hashes here.

File details

Details for the file google_cloud_bigquery_logging-1.1.0-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for google_cloud_bigquery_logging-1.1.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 c528d6fe97d171456a29213b56ea0c3257e8108912b439993d8681f372c84c51
MD5 eff8e330eed579345850b91543a123bb
BLAKE2b-256 6ca54a8acb0d8b74e52ecf8a36830d99ae893e6bf82f9126335955202c990dbf

See more details on using hashes here.

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