gcloud-aio | Google Cloud Client Library | Reactive Programming library
kandi X-RAY | gcloud-aio Summary
kandi X-RAY | gcloud-aio Summary
gcloud-aio is a Python library typically used in Programming Style, Reactive Programming applications. gcloud-aio has no bugs, it has no vulnerabilities and it has low support. However gcloud-aio build file is not available. You can install using 'pip install gcloud-aio' or download it from GitHub, PyPI.
(Asyncio OR Threadsafe) Google Cloud Client Library for Python
(Asyncio OR Threadsafe) Google Cloud Client Library for Python
Support
Quality
Security
License
Reuse
Support
gcloud-aio has a low active ecosystem.
It has 211 star(s) with 81 fork(s). There are 16 watchers for this library.
It had no major release in the last 12 months.
There are 22 open issues and 95 have been closed. On average issues are closed in 160 days. There are 7 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of gcloud-aio is storage-8.2.1a0
Quality
gcloud-aio has 0 bugs and 0 code smells.
Security
gcloud-aio has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
gcloud-aio code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
gcloud-aio does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
gcloud-aio releases are available to install and integrate.
Deployable package is available in PyPI.
gcloud-aio has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed gcloud-aio and discovered the below as its top functions. This is intended to give you an instant insight into gcloud-aio implemented functionality, and help decide if they suit your requirements.
- Create a value from a repr
- Return supported types
- Perform an operation
- Perform an UPDATE operation
- List all available subscriptions
- Return headers for Publish
- Get the data from a Google Cloud SDK
- Read up to size bytes
- Update a table
- The Authorization header
- Pull messages from a subscription
- Create a subscription
- Creates a job with the given query
- Publish messages to a topic
- Generate headers for Publishes
- Modify an acknowledge deadline
- Patch object metadata
- Creates a Job with the given query
- Create a topic
- List the blobs in this blob
- Create a table
- Get all the topics in a project
- Check if a blob exists
- Acknowledges a subscription
- Delete a subscription
- Create a task
- List all tables in the dataset
Get all kandi verified functions for this library.
gcloud-aio Key Features
No Key Features are available at this moment for gcloud-aio.
gcloud-aio Examples and Code Snippets
No Code Snippets are available at this moment for gcloud-aio.
Community Discussions
Trending Discussions on gcloud-aio
QUESTION
How to upload & get custom metadata with gcloud-aio-storage?
Asked 2021-Jul-06 at 12:16
I am using gcloud-aio-storage to cache a file. There is an option to add metadata dict in upload function
...ANSWER
Answered 2021-Jul-06 at 04:20From my understanding, you wanted to upload an object with custom metadata and then retrieve it once needed.
The custom metadata won't be added if you pass your key-value pairs into upload()
like this:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install gcloud-aio
You can install using 'pip install gcloud-aio' or download it from GitHub, PyPI.
You can use gcloud-aio 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.
You can use gcloud-aio 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 .
Find more information at:
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page