Skip to main content

Azkaban Orchestrator

Project description

Azkaban Orchestrator

An Orchestrator for Azkaban pipelines

Quick Start
.. code-block:: console

pip install azkaban-orchestrator

Define Orchestration logic
Create a file and define the dependencies between pipelines using the following notation.

* Pipeline name is a project name in Azkaban. Project and flow name of a pipeline should be the same.
* use '->' for **hard dependency** between two pipelines. A -> B means B runs if A runs successfully.
* use '.>' for **soft dependency** between two pipelines. A .> B means B runs after A despite A runs successfully or not.
* if pipeline has some **parameters** put them in parentheses by the pipeline name like A(status=1|date). use vertical bar '|' to separate the parameters.
* to define **clusters** use colon ':' e.g. S: A,B,C means cluster S includes pipelines A,B and C. to move from one cluster all the pipelines within the cluster should run successfully.

Sample 1

.. code-block:: console

| a b | s1
| c d | s2

Sample1 diagram file

.. code-block:: console

s1 : a, b
s2 : c, d
s1 -> s2
s2 -> e

Sample 2

.. code-block:: console

a -> b -> d(date)
| ___/|
| | |
v v v
c -> e <- f(status=1)

Sample2 diagram file

.. code-block:: console

a -> b
b -> d(date)
d(date) -> f(status=1)
d(date) -> e
f(status=1) -> e
a -> c
c -> e
c -> f(status=2)

To run the orchestrator

.. code:: python

import logging
from azkaban_orchestrator import orchestrator

client = orchestrator.Client(

# define the parameters need to pass to the orchestrator
params = {'date':'20171202'}

# define the initial pipeline
# if you need to start orchestration from a specific pipeline
initial = None, params)

To draw the diagram

.. code:: python

from azkaban_orchestrator import diagram

d = diagram.Diagram('test diagram', 'path/to/diagram_file')

Project details

Download files

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

Source Distribution

azkaban-orchestrator-0.0.1.tar.gz (6.8 kB view hashes)

Uploaded source

Supported by

AWS AWS Cloud computing Datadog Datadog Monitoring Facebook / Instagram Facebook / Instagram PSF Sponsor Fastly Fastly CDN Google Google Object Storage and Download Analytics Huawei Huawei PSF Sponsor Microsoft Microsoft PSF Sponsor NVIDIA NVIDIA PSF Sponsor Pingdom Pingdom Monitoring Salesforce Salesforce PSF Sponsor Sentry Sentry Error logging StatusPage StatusPage Status page