Skip to main content

The qing of pipes

Project description

Framework for building Data pipelines that scales.

pip install qing-framework

Build your first worker
``` python
from qing_framework import QingWorker
from qing_framework import QingMessage as QM

class Normalizer(QingWorker):
def process(self, qs):
#do your magic
formatted_messages = []
# messages from queue named 'dummy' are loaded for you automagically inside the qs variable.
while message in qs['dummy']:
# Each QingMessage has a payload and now you can create your own after modifying!
formatted_message = QM( payload="formatted: " + message.payload )
#returned messages are automatically writted to output queue!
return formatted_messages

``` python
# This file describes worker's responsibility and dependencies.
'author': 'AlSayed Gamal',
'version': '0.0.1',
'description': 'normalizes messages into proper format!',
'in-queues': ['dummy'],
'out-queues': ['normalized'],
'activity-rate': '5000',
'class': 'Normalizer'
Run worker using CLI
You can start qing as a server and use qing's CLI to run and scale the worker
#queen cli and UI for qing framework.
qing --help # just in case you needed help.
qingd # qing deamon, you will need sudo permission
qing run Normalizer # run a specific worker
qing kill Normalizer --job-id=123 #kill specific worker job

Monitor the data-pipeline using Web-UI
qing --webserver --port=8910 # you can view data pipelines, queues, jobs and workers.

Project details

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distributions

No source distribution files available for this release.See tutorial on generating distribution archives.

Built Distribution

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