This is Python Library for Hadoop YARN REST api.
This project follows the [Hadoop YARN REST Api](https://hadoop.apache.org/docs/current/hadoop-yarn/hadoop-yarn-site/ResourceManagerRest.html) document.
We have implemented the following APIs.
Cluster Information API
Cluster Metrics API
Cluster Scheduler API
Cluster Applications API
Cluster Application Statistics API
Cluster Application API
Cluster Application Attempts API
Cluster Nodes API
Cluster Node API
Usage
Install it:
pip install hadoop-yarn-rest-api
Usage:
from hadoop.yarn import Yarn
import xml.etree.ElementTree as ET
import json
import xml.dom.minidom
def main():
yarn = Yarn("http://localhost:8088", 'json')
response_obj = yarn.cluster_information()
response_obj = yarn.cluster_metrics()
response_obj = yarn.cluster_scheduler()
response_obj = yarn.cluster_applications()
response_obj = yarn.cluster_applications({"limit":100})
response_obj = yarn.cluster_appstatistics()
response_obj = yarn.cluster_appstatistics({"states":"accepted,running,finished","applicationTypes":"mapreduce"})
response_obj = yarn.cluster_application("job_id")
response_obj = yarn.cluster_application_attempts("job_id")
response_obj = yarn.cluster_nodes()
response_obj = yarn.cluster_nodes({"states":"RUNNING"}) # NEW, RUNNING, UNHEALTHY, DECOMMISSIONING, DECOMMISSIONED, LOST, REBOOTED, SHUTDOWN
response_obj = yarn.cluster_node("node_id")
if yarn.response_type == 'json':
print(json.dumps(response_obj, indent=4, sort_keys=True))
elif yarn.response_type == 'xml':
print(xml.dom.minidom.parseString(ET.tostring(response_obj)).toprettyxml())
else:
print(response_obj)
if __name__ == '__main__':
main()
Release files for hadoop-yarn-rest-api 1.1.0
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| File | Interpreter | ABI | Platform | Reset |
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| hadoop_yarn_rest_api-1.1.0-py2.py3-none-any.whl | Python 3, Python 2 | none | any | Details |
Release files / hadoop_yarn_rest_api-1.1.0-py2.py3-none-any.whl
| Download URL | hadoop_yarn_rest_api-1.1.0-py2.py3-none-any.whl |
|---|---|
| Size | 6.2 kB |
| Tags | Python 2 Python 3 |
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