Google Cloud Dataproc API: Manages Hadoop-based clusters and jobs on Google Cloud Platform.
Quick Start
In order to use this library, you first need to go through the following steps:
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.
Supported Python Versions
Python >= 3.5
Deprecated Python Versions
Python == 2.7. Python 2.7 support will be removed on January 1, 2020.
Mac/Linux
pip install virtualenv
virtualenv <your-env>
source <your-env>/bin/activate
<your-env>/bin/pip install google-cloud-dataprocWindows
pip install virtualenv
virtualenv <your-env>
<your-env>\Scripts\activate
<your-env>\Scripts\pip.exe install google-cloud-dataprocExample Usage
from google.cloud import dataproc_v1
client = dataproc_v1.ClusterControllerClient()
project_id = ''
region = ''
# Iterate over all results
for element in client.list_clusters(project_id, region):
# process element
pass
# Or iterate over results one page at a time
for page in client.list_clusters(project_id, region).pages:
for element in page:
# process element
passNext Steps
Read the Client Library Documentation for Google Cloud Dataproc API API to see other available methods on the client.
Read the Product documentation to learn more about the product and see How-to Guides.
2 maintainers
Metadata
2 maintainers
Release files for google-cloud-dataproc 1.0.1
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-1.0.1.tar.gz | 250.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| google_cloud_dataproc-1.0.1-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 538.9 kB
Release files / google-cloud-dataproc-1.0.1.tar.gz
| Download URL | google-cloud-dataproc-1.0.1.tar.gz |
|---|---|
| Size | 250.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
0d6a31a9c556ace7859831974b3e5607e61a5064d27fa455fdcc39ca2ffc4274
|
|
BLAKE2b-256 checksum How to use checksums |
929d56fc1f167f7d3d04ce6867b02e9af2efb523bdbeed609ce432e1b7ca0fdd
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.0
|
Release files / google_cloud_dataproc-1.0.1-py2.py3-none-any.whl
| Download URL | google_cloud_dataproc-1.0.1-py2.py3-none-any.whl |
|---|---|
| Size | 288.3 kB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
fc34a57fbbd1bbb2ab6f4ea5a086c28e5db3f7d3c07790113b47ca6bc04e0f59
|
|
BLAKE2b-256 checksum How to use checksums |
636cccac38357c93a73f3cf5efa8d2a6cd61c7c077332c483f672a28e01f0319
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/3.2.0 pkginfo/1.5.0.1 requests/2.24.0 setuptools/49.2.0 requests-toolbelt/0.9.1 tqdm/4.47.0 CPython/3.8.0
|
