ipyparallel-mesos | ipyparallel has built in support for a number | Job Orchestrator library

by ActivisionGameScience Python Version: Current License: BSD-3-Clause

X-Ray Key Features Code Snippets(1)Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ipyparallel-mesos Summary

ipyparallel-mesos is a Python library typically used in Data Processing, Job Orchestrator, Docker applications. ipyparallel-mesos has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install ipyparallel-mesos' or download it from GitHub, PyPI.

ipyparallel has built in support for a number of backends. This is a backend for launching IPython clusters into mesos using docker and marathon.

Support

Quality

Security

License

Reuse

Support

ipyparallel-mesos has a low active ecosystem.

It has 9 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

ipyparallel-mesos has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of ipyparallel-mesos is current.

Quality

ipyparallel-mesos has no bugs reported.

Security

ipyparallel-mesos has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ipyparallel-mesos is licensed under the BSD-3-Clause License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

ipyparallel-mesos releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Installation instructions, examples and code snippets are available.

Top functions reviewed by kandi - BETA

kandi has reviewed ipyparallel-mesos and discovered the below as its top functions. This is intended to give you an instant insight into ipyparallel-mesos implemented functionality, and help decide if they suit your requirements.

Start the marathon engine
Build the marathon configuration
Wait for the marathon app to start
Start the marathon app
Wait for engines to start
Start the marathon server
Write the client connection dictionary
Build marathon configuration
Start the marathon application in marathon
Saves connection dictionary
Stop running marathon app
Stops the marathon
Stops the marathon marathon

Get all kandi verified functions for this library.

ipyparallel-mesos Key Features

No Key Features are available at this moment for ipyparallel-mesos.

ipyparallel-mesos Examples and Code Snippets

ipyparallel mesos/marathon launcher,Quickstart

Python

Lines of Code : 26

License : Permissive (BSD-3-Clause)

Copy

pip install ipyparallel_mesos

# from the ActivisionGameScience conda channel
conda install --channel ActivisionGameScience ipyparallel_mesos

ipython profile create --parallel --profile=mesos

# Required
# MUST SET
c.MarathonLauncher.marathon_master

Community Discussions

Trending Discussions on Job Orchestrator

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

QUESTION

Azure OPC Publisher says "no job received" when trying to write OPC UA data to cloud

Asked 2020-May-24 at 13:58

im trying to follow those tutorials:

https://sandervandevelde.wordpress.com/2018/11/06/getting-started-with-opc-ua-on-azure-iot-edge/ and https://docs.microsoft.com/en-us/azure/iot-accelerators/howto-opc-publisher-run

to bring data from an opc-ua server to the azure cloud.

I have already successfully played through the https://docs.microsoft.com/en-us/azure/iot-edge/quickstart tutorial.

I think maybe the OPCPublisher does not find the configuration file?!

I set up the configuration file under C:\iiotedge\pn.json (with changed ip):

...

ANSWER

Answered 2020-May-24 at 13:58

Was facing the same issue. It looks like the container is not running in appdata but in app. I've changed the createOptions to:

Source https://stackoverflow.com/questions/61938039

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ipyparallel-mesos

Install ipyparallel_mesos from pip or conda. Create new ipython profile. Edit ~/.ipython/profile_mesos/ipcluster_config.py and add. While this new profile will work with the Jupyter IPython Cluter tab. You should start with the command line to help debug. As long as this command starts you should see the the docker containers in your marathon ui under the marathon_app_group you set earlier. You are now ready to cook with fire. Open a new terminal session on the same machine you just ran ipcluster. Start Juypter or an IPython session. To shut down just press Ctrl+c in the terminal you ran ipcluster.