def azkaban_mongo_job():
project_2 = Project('LeadDataStats')
project_2.add_job('UploadDataStats', Job({'type': 'command', 'command': 'python /home/msingh/Documents/'
'PycharmProjects/AzkabanTest/mongo/MongoDataPush.py'}, {'dependencies': 'MongoStart'}))
project_3 = Project('MongoDataUpload')
project_3.add_job('UploadDataStatus', Job({'type': 'command', 'command': 'echo "Data successfully uploaded"'},
{'dependencies': 'UploadDataStats'}))
def build_project(project_name, global_props, project_props, jobs, files,
version):
logger.info("Building workflow %s, version: %s.", project_name, version)
project = Project(project_name, root=os.curdir, version=version)
project.properties = global_props
project.properties.update(project_props)
for job_name, job_definition in jobs.items():
project.add_job(job_name, Job(job_definition))
for file, target in files:
project.add_file(file, target)
return project
#!/usr/bin/env python
# encoding: utf-8
"""Azkaban sample project configuration script.
Let us assume we have a flow with pig scripts to run, which share many
options. This example shows a way to concisely build the project.
"""
from azkaban import PigJob, Project
from getpass import getuser
PROJECT = Project('azkabancli_sample', root=__file__)
# default options for all jobs
DEFAULTS = {
'user.to.proxy': getuser(),
'param': {
'input_root': 'sample_dir/',
'n_reducers': 20,
},
'jvm.args.mapred': {
'max.split.size': 2684354560,
'min.split.size': 2684354560,
},
}
# list of pig job options
OPTIONS = [
{
'pig.script': 'first.pig'
This example shows how to simply define a project with two configurations:
production and test, without any job duplication.
"""
from azkaban import Job, Project
from getpass import getuser
# Production project
# ------------------
#
# This project is configured to run in a production environment (e.g. using a
# headless user with permissions to write to a specific directory).
PROJECT = Project('azkabancli_sample', root=__file__)
PROJECT.properties = {
'user.to.proxy': 'production_user',
'hdfs.root': '/jobs/sample/'
}
# dictionary of jobs, keyed by job name
JOBS = {
'gather_data':
Job({
'type': 'hadoopJava',
'job.class': 'sample.GatherData',
'path.output': '${hdfs.root}data.avro', # note the property use here
}),
# ...
from azkaban import Job, Project
project = Project('foo')
project.add_file('./jobs.py', 'jobs.py')
project.add_job('bar', Job({'type': 'command', 'command': 'cat jobs.py'}))
#!/usr/bin/env python
# encoding: utf-8
"""
Azkaban CLI syntax definition of the `basic_flow` project
"""
from azkaban import Job, Project
PROJECT = Project('azkaban_examples')
JOBS = {
# `basic_flow` example
'basic_step_1.cmd':
Job({
'type': 'command',
'command': 'echo "job: basic_step_1.cmd"'
}),
'basic_step_2.cmd':
Job({
'type': 'command',
'command': 'echo "job: basic_step_2.cmd"',
'dependencies': 'basic_step_1.cmd'
}),
'basic_step_3.cmd':
Job({
'type': 'command',
'command': 'echo "job: basic_step_3.cmd"',
'dependencies': 'basic_step_2.cmd'
}),
'basic_step_4.cmd':
Job({
#!/usr/bin/env python
# encoding: utf-8
"""
Azkaban example projects configuration script.
• Azkaban CLI syntax definition to configure all examples in this project
"""
from azkaban import Job, Project
PROJECT = Project('azkaban_examples', root=__file__)
# Project level properties declared here are visible to all jobs.
PROJECT.properties = {'project_1': 'project-val1'}
JOBS = {
# `basic_flow` example
'basic_step_1.cmd':
Job({
'type': 'command',
'command': 'echo "job: basic_step_1.cmd"'
}),
'basic_step_2.cmd':
Job({
'type': 'command',
'command': 'echo "job: basic_step_2.cmd"',
'dependencies': 'basic_step_1.cmd'
}),
'basic_step_3.cmd':
Job({
'type': 'command',
'command': 'echo "job: basic_step_3.cmd"',
'dependencies': 'basic_step_2.cmd'