Python Client for Google Cloud Dataproc
Google Cloud Dataproc: is a faster, easier, more cost-effective way to run Apache Spark and Apache Hadoop.
Quick Start
In order to use this library, you first need to go through the following steps:
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-dataprocWindows
py -m venv <your-env>
.\<your-env>\Scripts\activate
pip install google-cloud-dataprocNext Steps
Read the Client Library Documentation for Google Cloud Dataproc to see other available methods on the client.
Read the Google Cloud Dataproc Product documentation to learn more about the product and see How-to Guides.
View this README to see the full list of Cloud APIs that we cover.
2 maintainers
Metadata
2 maintainers
Release files for google-cloud-dataproc 5.9.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| google-cloud-dataproc-5.9.3.tar.gz | 467.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| google_cloud_dataproc-5.9.3-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 873.9 kB
Release files / google-cloud-dataproc-5.9.3.tar.gz
| Download URL | google-cloud-dataproc-5.9.3.tar.gz |
|---|---|
| Size | 467.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
97d647891e7f4cd25f6b839ae57cd355809df2ca396653ed24af62b4ef02f412
|
|
BLAKE2b-256 checksum How to use checksums |
586cbfc41e52322319dfdc173c4f425ac40f111906b0bfaf8289fc8465416aae
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
Release files / google_cloud_dataproc-5.9.3-py2.py3-none-any.whl
| Download URL | google_cloud_dataproc-5.9.3-py2.py3-none-any.whl |
|---|---|
| Size | 406.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
034615e8aca7f2b917a29ee1ca317fa65f8fa878018f2b80a2487e09e32b297a
|
|
BLAKE2b-256 checksum How to use checksums |
c17f245421ccb58ca4ccdd7f859cb43cd99013511a80c9988051797c269cf749
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.9.18
|
